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Riboflavin significantly enhanced the efficacy of simulated solar disinfection (SODIS) at 150 watts per square meter (W m−2) against a variety of microorganisms, including Escherichia coli, Fusarium solani, Candida albicans, and Acanthamoeba polyphaga trophozoites (>3 to 4 log10 after 2 to 6 h; P < 0.001). With A. polyphaga cysts, the kill (3.5 log10 after 6 h) was obtained only in the presence of riboflavin and 250 W m−2 irradiance.Solar disinfection (SODIS) is an established and proven technique for the generation of safer drinking water (11). Water is collected into transparent plastic polyethylene terephthalate (PET) bottles and placed in direct sunlight for 6 to 8 h prior to consumption (14). The application of SODIS has been shown to be a simple and cost-effective method for reducing the incidence of gastrointestinal infection in communities where potable water is not available (2-4). Under laboratory conditions using simulated sunlight, SODIS has been shown to inactivate pathogenic bacteria, fungi, viruses, and protozoa (6, 12, 15). Although SODIS is not fully understood, it is believed to achieve microbial killing through a combination of DNA-damaging effects of ultraviolet (UV) radiation and thermal inactivation from solar heating (21).The combination of UVA radiation and riboflavin (vitamin B2) has recently been reported to have therapeutic application in the treatment of bacterial and fungal ocular pathogens (13, 17) and has also been proposed as a method for decontaminating donor blood products prior to transfusion (1). In the present study, we report that the addition of riboflavin significantly enhances the disinfectant efficacy of simulated SODIS against bacterial, fungal, and protozoan pathogens.Chemicals and media were obtained from Sigma (Dorset, United Kingdom), Oxoid (Basingstoke, United Kingdom), and BD (Oxford, United Kingdom). Pseudomonas aeruginosa (ATCC 9027), Staphylococcus aureus (ATCC 6538), Bacillus subtilis (ATCC 6633), Candida albicans (ATCC 10231), and Fusarium solani (ATCC 36031) were obtained from ATCC (through LGC Standards, United Kingdom). Escherichia coli (JM101) was obtained in house, and the Legionella pneumophila strain used was a recent environmental isolate.B. subtilis spores were produced from culture on a previously published defined sporulation medium (19). L. pneumophila was grown on buffered charcoal-yeast extract agar (5). All other bacteria were cultured on tryptone soy agar, and C. albicans was cultured on Sabouraud dextrose agar as described previously (9). Fusarium solani was cultured on potato dextrose agar, and conidia were prepared as reported previously (7). Acanthamoeba polyphaga (Ros) was isolated from an unpublished keratitis case at Moorfields Eye Hospital, London, United Kingdom, in 1991. Trophozoites were maintained and cysts prepared as described previously (8, 18).Assays were conducted in transparent 12-well tissue culture microtiter plates with UV-transparent lids (Helena Biosciences, United Kingdom). Test organisms (1 × 106/ml) were suspended in 3 ml of one-quarter-strength Ringer''s solution or natural freshwater (as pretreated water from a reservoir in United Kingdom) with or without riboflavin (250 μM). The plates were exposed to simulated sunlight at an optical output irradiance of 150 watts per square meter (W m−2) delivered from an HPR125 W quartz mercury arc lamp (Philips, Guildford, United Kingdom). Optical irradiances were measured using a calibrated broadband optical power meter (Melles Griot, Netherlands). Test plates were maintained at 30°C by partial submersion in a water bath.At timed intervals for bacteria and fungi, the aliquots were plated out by using a WASP spiral plater and colonies subsequently counted by using a ProtoCOL automated colony counter (Don Whitley, West Yorkshire, United Kingdom). Acanthamoeba trophozoite and cyst viabilities were determined as described previously (6). Statistical analysis was performed using a one-way analysis of variance (ANOVA) of data from triplicate experiments via the InStat statistical software package (GraphPad, La Jolla, CA).The efficacies of simulated sunlight at an optical output irradiance of 150 W m−2 alone (SODIS) and in the presence of 250 μM riboflavin (SODIS-R) against the test organisms are shown in Table Table1.1. With the exception of B. subtilis spores and A. polyphaga cysts, SODIS-R resulted in a significant increase in microbial killing compared to SODIS alone (P < 0.001). In most instances, SODIS-R achieved total inactivation by 2 h, compared to 6 h for SODIS alone (Table (Table1).1). For F. solani, C. albicans, ands A. polyphaga trophozoites, only SODIS-R achieved a complete organism kill after 4 to 6 h (P < 0.001). All control experiments in which the experiments were protected from the light source showed no reduction in organism viability over the time course (results not shown).

TABLE 1.

Efficacies of simulated SODIS for 6 h alone and with 250 μM riboflavin (SODIS-R)
OrganismConditionaLog10 reduction in viability at indicated h of exposureb
1246
E. coliSODIS0.0 ± 0.00.2 ± 0.15.7 ± 0.05.7 ± 0.0
SODIS-R1.1 ± 0.05.7 ± 0.05.7 ± 0.05.7 ± 0.0
L. pneumophilaSODIS0.7 ± 0.21.3 ± 0.34.8 ± 0.24.8 ± 0.2
SODIS-R4.4 ± 0.04.4 ± 0.04.4 ± 0.04.4 ± 0.0
P. aeruginosaSODIS0.7 ± 0.01.8 ± 0.04.9 ± 0.04.9 ± 0.0
SODIS-R5.0 ± 0.05.0 ± 0.05.0 ± 0.05.0 ± 0.0
S. aureusSODIS0.0 ± 0.00.0 ± 0.06.2 ± 0.06.2 ± 0.0
SODIS-R0.2 ± 0.16.3 ± 0.06.3 ± 0.06.3 ± 0.0
C. albicansSODIS0.2 ± 0.00.4 ± 0.10.5 ± 0.11.0 ± 0.1
SODIS-R0.1 ± 0.00.7 ± 0.15.3 ± 0.05.3 ± 0.0
F. solani conidiaSODIS0.2 ± 0.10.3 ± 0.00.2 ± 0.00.7 ± 0.1
SODIS-R0.3 ± 0.10.8 ± 0.11.3 ± 0.14.4 ± 0.0
B. subtilis sporesSODIS0.3 ± 0.00.2 ± 0.00.0 ± 0.00.1 ± 0.0
SODIS-R0.1 ± 0.10.2 ± 0.10.3 ± 0.30.1 ± 0.0
SODIS (250 W m−2)0.1 ± 0.00.1 ± 0.10.1 ± 0.10.0 ± 0.0
SODIS-R (250 W m−2)0.0 ± 0.00.0 ± 0.00.2 ± 0.00.4 ± 0.0
SODIS (320 W m−2)0.1 ± 0.10.1 ± 0.00.0 ± 0.14.3 ± 0.0
SODIS-R (320 W m−2)0.1 ± 0.00.1 ± 0.10.9 ± 0.04.3 ± 0.0
A. polyphaga trophozoitesSODIS0.4 ± 0.20.6 ± 0.10.6 ± 0.20.4 ± 0.1
SODIS-R0.3 ± 0.11.3 ± 0.12.3 ± 0.43.1 ± 0.2
SODIS, naturalc0.3 ± 0.10.4 ± 0.10.5 ± 0.20.3 ± 0.2
SODIS-R, naturalc0.2 ± 0.11.0 ± 0.22.2 ± 0.32.9 ± 0.3
A. polyphaga cystsSODIS0.4 ± 0.10.1 ± 0.30.3 ± 0.10.4 ± 0.2
SODIS-R0.4 ± 0.20.3 ± 0.20.5 ± 0.10.8 ± 0.3
SODIS (250 W m−2)0.0 ± 0.10.2 ± 0.30.2 ± 0.10.1 ± 0.2
SODIS-R (250 W m−2)0.4 ± 0.20.3 ± 0.20.8 ± 0.13.5 ± 0.3
SODIS (250 W m−2), naturalc0.0 ± 0.30.2 ± 0.10.1 ± 0.10.2 ± 0.1
SODIS-R (250 W m−2), naturalc0.1 ± 0.10.2 ± 0.20.6 ± 0.13.4 ± 0.2
Open in a separate windowaConditions are at an intensity of 150 W m−2 unless otherwise indicated.bThe values reported are means ± standard errors of the means from triplicate experiments.cAdditional experiments for this condition were performed using natural freshwater.The highly resistant A. polyphaga cysts and B. subtilis spores were unaffected by SODIS or SODIS-R at an optical irradiance of 150 W m−2. However, a significant reduction in cyst viability was observed at 6 h when the optical irradiance was increased to 250 W m−2 for SODIS-R only (P < 0.001; Table Table1).1). For spores, a kill was obtained only at 320 W m−2 after 6-h exposure, and no difference between SODIS and SODIS-R was observed (Table (Table1).1). Previously, we reported a >2-log kill at 6 h for Acanthamoeba cysts by using SODIS at the higher optical irradiance of 850 W m−2, compared to the 0.1-log10 kill observed here using the lower intensity of 250 W m−2 or the 3.5-log10 kill with SODIS-R.Inactivation experiments performed with Acanthamoeba cysts and trophozoites suspended in natural freshwater gave results comparable to those obtained with Ringer''s solution (P > 0.05; Table Table1).1). However, it is acknowledged that the findings of this study are based on laboratory-grade water and freshwater and that differences in water quality through changes in turbidity, pH, and mineral composition may significantly affect the performance of SODIS (20). Accordingly, further studies are indicated to evaluate the enhanced efficacy of SODIS-R by using natural waters of varying composition in the areas where SODIS is to be employed.Previous studies with SODIS under laboratory conditions have employed lamps delivering an optical irradiance of 850 W m−2 to reflect typical natural sunlight conditions (6, 11, 12, 15, 16). Here, we used an optical irradiance of 150 to 320 W m−2 to obtain slower organism inactivation and, hence, determine the potential enhancing effect of riboflavin on SODIS.In conclusion, this study has shown that the addition of riboflavin significantly enhances the efficacy of simulated SODIS against a range of microorganisms. The precise mechanism by which photoactivated riboflavin enhances antimicrobial activity is unknown, but studies have indicated that the process may be due, in part, to the generation of singlet oxygen, H2O2, superoxide, and hydroxyl free radicals (10). Further studies are warranted to assess the potential benefits from riboflavin-enhanced SODIS in reducing the incidence of gastrointestinal infection in communities where potable water is not available.  相似文献   

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The microbial biotransformation of Δ9-tetrahydrocannabinol was investigated using a collection of 206 alkane-degrading strains. Fifteen percent of these strains, mainly gram-positive strains from the genera Rhodococcus, Mycobacterium, Gordonia, and Dietzia, yielded more-polar derivatives. Eight derivatives were produced on a mg scale, isolated, and purified, and their chemical structures were elucidated with the use of liquid chromatography-mass spectrometry, 1H-nuclear magnetic resonance (1H-NMR), and two-dimensional NMR (1H-1H correlation spectroscopy and heteronuclear multiple bond coherence). All eight biotransformation products possessed modified alkyl chains, with hydroxy, carboxy, and ester functionalities. In a number of strains, β-oxidation of the initially formed C5 carboxylic acid led to the formation of a carboxylic acid lacking two methylene groups.Δ9-Tetrahydrocannabinol (Δ9-THC) is the decarboxylated product of the corresponding Δ9-THC acid, the major cannabinoid present in the cannabis plant (Cannabis sativa L., Cannabaceae). This compound is officially registered as a drug for the stimulation of appetite and antiemesis in patients under chemotherapy and human immunodeficiency virus therapy regimens. Other biological activities ascribed to this compound include lowering intraocular pressure in glaucoma, acting as an analgesic for muscle relaxation, immunosuppression, sedation, bronchodilation, and neuroprotection (11).Δ9-THC and many of its derivatives are highly lipophilic and poorly water soluble. Calculations of the n-octanol/water partition coefficient (Ko/w) of Δ9-THC at neutral pH vary between 6,000, using the shake flask method (15), and 9.44 × 106, by reverse-phase high-performance liquid chromatography estimation (19). The poor water solubility and high lipophilicity of cannabinoids cause their absorption across the lipid bilayer membranes and fast elimination from blood circulation. In terms of the “Lipinsky rule of 5” (14), the high lipophilicity of cannabinoids hinders the further development of these compounds into large-scale pharmaceutical products.To generate more water-soluble analogues, one can either apply de novo chemical synthesis (as, e.g., in reference 16) or modify naturally occurring cannabinoids, e.g., by introducing hydroxy, carbonyl, or carboxy groups. Chemical hydroxylation of compounds such as cannabinoids is difficult (Δ9-THC is easily converted into Δ8-THC under mild conditions), and therefore microbial biotransformation of cannabinoids is potentially a more fruitful option to achieve this goal.So far, studies on biotransformation of Δ9-THC were mainly focused on fungi, which led to the formation of a number of mono- and dihydroxylated derivatives. Previous reports on the biotransformation of cannabinoids by various microorganisms are summarized in Table Table1.1. The aim of the present study was to test whether bacterial strains are capable of transforming Δ9-THC into new products (with potentially better pharmaceutical characteristics) at a higher yield and specificity than previously found for fungal strains. For this purpose, we have chosen to use a collection of alkane-degrading strains, since it was shown in previous studies (8, 18, 20) that alkane oxygenases often display a broad substrate range. Production of novel cannabinoid derivatives that might have interesting pharmacological activities was another objective of this project.

TABLE 1.

Previous biotransformation experiments conducted using various microorganisms to transform cannabinoids
Cannabinoid(s)aMicroorganism(s) usedNo. of transformed productsReference
Δ9-THCCunninghamella blakesleeana63
Δ8-THCPellicularia filamentosa421
Δ8-THCStreptomyces lavendulae421
Δ6a,10a-THC400 cultures (soil microorganisms)Various1
Nabilone400 cultures (soil microorganisms)Various1
Δ6a,10a-THC358 cultures containing bacteria, actinomycetes, and molds310
Δ9-THC, Δ8-THC, CBD, CBNSyncephalastrum racemosum, Mycobacterium rhodochrousVarious17
Δ9-THCChaetomium globosum37
Δ9-THC51 fungal strains84
NabiloneMicrobesVarious2
Δ9-THCFusarium nivale, Gibberella fujikuroi, and Thamnidium elegans85
Open in a separate windowaCBD, cannabidiol; CBN, cannabinol.  相似文献   

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Presented here is the first report describing the detection of potentially diarrheal Vibrio parahaemolyticus strains isolated from cultured bivalves on the Mediterranean coast, providing data on the presence of both tdh- and trh-positive isolates. Potentially diarrheal V. parahaemolyticus strains were isolated from four species of bivalves collected from both bays of the Ebro delta, Spain.Gastroenteritis caused by Vibrio parahaemolyticus has been reported worldwide, though only sporadic cases have been reported in Europe (7, 14). The bacterium can be naturally present in seafood, but pathogenic isolates capable of inducing gastroenteritis in humans are rare in environmental samples (2 to 3%) (15) and are often not detected (10, 19, 20).The virulence of V. parahaemolyticus is based on the presence of a thermostable direct hemolysin (tdh) and/or the thermostable direct hemolysin-related gene (trh) (1, 5). Both are associated with gastrointestinal illnesses (2, 9).Spain is not only the second-largest producer in the world of live bivalve molluscs but also one of the largest consumers of bivalve molluscs, and Catalonia is the second-most important bivalve producer of the Spanish Autonomous Regions. Currently, the cultivation of bivalves in this area is concentrated in the delta region of the Ebro River. The risk of potentially pathogenic Vibrio spp. in products placed on the market is not assessed by existing legislative indices of food safety in the European Union, which emphasizes the need for a better knowledge of the prevalence of diarrheal vibrios in seafood products. The aim of this study was to investigate the distribution and pathogenic potential of V. parahaemolyticus in bivalve species exploited in the bays of the Ebro delta.Thirty animals of each species of Mytilus galloprovincialis, Crassostrea gigas, Ruditapes decussatus, and Ruditapes philippinarum were collected. They were sampled from six sites of the culture area, three in each bay of the Ebro River delta, at the beginning (40°37′112"N, 0°37′092"E [Alfacs]; 40°46′723"N, 0°43′943"E [Fangar]), middle (40°37′125"N, 0°38′570"E [Alfacs]; 40°46′666"N, 0°45′855"E [Fangar]), and end (40°37′309"N, 0°39′934"E [Alfacs]; 40°46′338"N, 0°44′941"E [Fangar]) of the culture polygon. Clams were sampled from only one site per bay as follows: in the Alfacs Bay from a natural bed of R. decussatus (40°37′44"N, 0°38′0"E) and in the Fangar Bay from an aquaculture bed of R. philippinarum (40°47′3"N, 0°43′8"E). In total, 367 samples were analyzed in 2006 (180 oysters, 127 mussels, 30 carpet shell clams, and 30 Manila clams) and 417 samples were analyzed in 2008 (178 oysters, 179 mussels, 30 carpet shell clams, and 30 Manila clams).All animals were individually processed and homogenized, and 1 ml of the homogenate was inoculated into 9 ml of alkaline peptone water (Scharlau, Spain). Following a 6-h incubation at 37°C, one loopful of the contents of each tube of alkaline peptone water was streaked onto CHROMagar vibrio plates (CHROMagar, France) and incubated for 18 h at 37°C. Mauve-purple colonies were purified, and each purified isolate was cryopreserved at −80°C (135 isolates in 2006 and 96 in 2008). From the initial homogenate portion, 100 μl was inoculated onto marine agar (Scharlau, Spain) and onto thiosulfate citrate-bile salts-sucrose agar (Scharlau, Spain) for total heterotrophic marine bacteria counts and total vibrio counts, respectively (Table (Table11).

TABLE 1.

Vibrio parahaemolyticus isolates, serotypes, and origins and total number of vibrios/heterotrophic bacteria contained in the bivalvea
IsolateDate of collectionOrganism and site of originTemp (°C)Salinity (‰)Gene(s)SerotypeBacterial count using indicated medium (CFU ml−1)
TCBS agarMarine agar
I7458 August 2006Mg-F24.537tdhND1.5 × 1041.2 × 104
I79314 August 2006Cg-A2535tdhND9.2 × 1028.5 × 103
I80514 August 2006Cg-A2535tdhO2:KUT7.2 × 1029 × 103
I80614 August 2006Cg-A2535tdh and trhO3:K331.9 × 1034.6 × 103
I80914 August 2006Cg-A2535tdhO2:K288 × 1047.3 × 102
I6784 July 2006Rd-A28.636tdhO2:K283.1 × 1052.5 × 105
I6284 July 2006Rd-A28.636tdhO4:KUT2.9 × 1048.4 × 104
I7758 August 2006Cg-A24.537tdhND4.21 × 1031.1 × 104
I6914 July 2006Rd-A28.636trhO1:K322.2 × 1052.6 × 105
I71227 July 2006Mg-A29.435.5trhO1:KUT8.6 × 1038.4 × 103
I7658 August 2006Cg-F24.537trhO4:K341 × 104Uncountable
I98022 July 2008Cg-A26.733.5tdhO1:K322.7 × 1041.3 × 104
I98122 July 2008Cg-A26.733.5trhO1:KUT1 × 1042.2 × 104
I99322 July 2008Cg-A26.733.5tdhO5:K173 × 1031.1 × 104
I99429 July 2008Mg-A27.737trhO3:KUT3.4 × 1037 × 103
I10315 August 2008Cg-F27.737tdhO5:KUT5.5 × 1043.3 × 104
I10345 August 2008Cg-F27.737tdhO3:KUT8.7 × 1044 × 104
I10405 August 2008Cg-F27.737tdhO3:KUT1.6 × 1043.2 × 104
I10425 August 2008Cg-F27.737tdh and trhND2.8 ×1043 × 104
I10505 August 2008Cg-F27.737tdhO1:KUT4.7 × 1047.3 × 104
I106320 August 2008Mg-F25.936tdhO3:KUT7.9 ×1041.4 × 104
I106520 August 2008Mg-F25.936tdhO2:KUT2.2 × 1031.2 × 104
I106820 August 2008Mg-F25.936tdhO5:KUT2.6 × 1045.2 × 104
I106920 August 2008Mg-F25.936tdhO3:KUT2.4 × 1035.3 × 104
I107320 August 2008Mg-F25.936tdhO5:KUT2.3 × 1037.5 × 103
I107420 August 2008Mg-F25.936tdhO3:KUT7.6 × 1046.9 × 104
I107720 August 2008Mg-F25.936tdhO4:KUT1.7 × 1031.6 × 103
I107920 August 2008Mg-F25.936trhO3:KUT2.5 × 1031.1 × 104
I109220 August 2008Mg-F25.936tdhND1.7 × 1031.6 × 103
I113025 August 2008Rd-A26.435tdhND1.7 × 1043.8 × 104
I114325 August 2008Rd-A26.435tdhND1.1 × 1041.9 × 104
I116525 August 2008Rd-A26.435trhO2:KUT4.4 × 1046.8 × 104
I113325 August 2008Rp-F25.536.5tdhND3.4 × 1044 × 104
I113425 August 2008Rp-F25.536.5tdhND3.9 × 1045.8 × 104
I115825 August 2008Rp-F25.536.5trhO4:KUT6.6 × 1044.7 × 104
I116125 August 2008Rp-F25.536.5trhO3:KUT2.2 × 1046.6 × 104
Open in a separate windowaMg, Mytilus galloprovincialis; Cg, Crassostrea gigas; Rd, Ruditapes decussatus; Rp, R. phillipinarum; A, Alfacs; F, Fangar; ND, not determined; TCBS, thiosulfate citrate-bile salts-sucrose.Total DNA was extracted from each purified isolate using the Wizard genomic DNA purification kit (Promega), following the instructions of the manufacturer. A one-step PCR analysis was performed to identify/confirm which isolates were tl positive (species marker for V. parahaemolyticus). Further detection of the tdh or trh gene was carried out on all positive tl strains. All PCR analyses were carried out using the primers described by Bej et al. (2) with the following amplification conditions on the thermocycler (Eppendorf Mastercycler Personal): an initial denaturation at 95°C for 8 min, followed by 40 cycles of a 1-min denaturation at 94°C, annealing at 55°C for 1 min, elongation at 72° for 1 min, and a final extension of 10 min at 72°C. Positive and negative controls were included in all reaction mixtures: two positive controls, tl and tdh CAIM 1400 and trh CAIM 1772 (Collection of Aquatic Important Microorganisms [http://www.ciad.mx/caim/CAIM.html]), and negative control DNA-free molecular grade water (Sigma-Aldrich, Spain). Expected amplicons were visualized in 2% agarose gels stained with ethidium bromide.Fifty-eight isolates contained the gene tl in 2006 and 96 in 2008, which confirmed their identity as V. parahaemolyticus. In 2006, the distribution of the 58 isolates was as follows: 7 from 127 mussels, 34 from 180 oysters, and 17 from 30 R. decussatus clams. No tl-positive isolates were found in R. philippinarum. PCR analysis of the tl-positive isolates for the presence of the tdh or trh gene indicated that eight isolates contained the tdh gene and four contained the trh gene. In 2008, the source of the confirmed V. parahaemolyticus isolates was as follows: 31 from 88 oysters, 44 from 89 mussels, 9 from 30 R. decussatus clams, and 12 from 30 R. philippinarum clams. Of these, 17 were found to contain the tdh gene and 7 contained the trh gene. Two isolates (I806 and I1042) contained both toxigenic genes, tdh and trh.Putative tdh- and trh-positive PCR products were purified using the QIAquick PCR purification kit (Qiagen) following the manufacturer''s instructions and were sequenced bidirectionally by Macrogen Inc. Sequences were aligned using BioEdit (8) and analyzed using BLAST (National Center for Biotechnology Information). None of the toxigenic isolates was found positive by PCR analysis for the presence of open reading frame 8 of the phage 237 (16), a marker for the pandemic strain O3:K6.The isolates were fingerprinted by repetitive extragenic palindromic PCR (rep-PCR) as described previously (3), and the resulting electrophoretic band patterns were analyzed with the GelCompar II software (v4.5; Applied Maths). The similarity matrix was calculated with the Jaccard coefficient with a band position tolerance of 0.8%, and the dendrogram was constructed with the Ward algorithm. A high level of genomic diversity was found among the 32 toxigenic isolates characterized by rep-PCR. Three clonal groups were identified (those having identical rep-PCR band patterns) (Fig. 1a to c).Open in a separate windowFIG. 1.rep-PCR dendrogram of toxigenic isolates of V. parahaemolyticus isolated in the Ebro delta. Letters denote clonal groups of isolates.In vitro antibiotic susceptibility tests were performed using the diffusion disc test following a previously described protocol (18). The antibiotics used were gentamicin (10 μg), oxolinic acid (10 μg), amoxicillin (25 μg), polymyxin B (300 UI), vancomycin (30 μg), trimethoprim sulfamethoxazole (1.25/23.75 μg), nitrofurantoin (300 μg), doxycyclin (30 μg), ceftazidime (30 μg), streptomycin (10 μg), neomycin (30 UI), penicillin (6 μg), flumequine (30 μg), tetracycline (30 μg), ampicillin (10 μg), kanamycin (30 μg), ciprofloxacin (5 μg), and sulfonamide (300 μg). All tests were performed in duplicate. A Student t test for two samples with unequal variance was performed to compare the sensitivity of all 2006 isolates against the sensitivity of 2008 isolates for each antibiotic (Microsoft Office Excel 97-2003). Antibiogram results revealed a lower susceptibility in 2008 than in 2006, indicating a possible shift in overall susceptibility. Results from the t test indicated that significantly lower susceptibility in 2008 was detected (P ≤ 0.05; n = 36) for the following antibiotics: vancomycin, polymyxin B, ampicillin, amoxicillin, gentamicin, neomycin, trimethoprim sulfamethoxazole, nitrofurantoin, doxycyclin, ceftazidime, tetracycline, flumequine, and ciprofloxacin.The serological types for 27 strains were determined by the agglutination method using commercially available V. parahaemolyticus antisera (Denka Seiken Ltd.; Cosmos Biomedical Ltd, United Kingdom) following the manufacturer''s instructions. Potentially toxigenic V. parahaemolyticus isolates collected in 2006 were serologically heterogeneous (8 out of the 11 isolates) (Table (Table1).1). In isolates collected in 2008, results were more homogenous, with seven serotypes found among 19 isolates analyzed. The O3:K6 serotype was not detected in any of the strains analyzed, in agreement with the open reading frame 8 PCR results.The present study is the first to report the detection of potentially diarrheal V. parahaemolyticus strains isolated from cultured bivalves on Spanish Mediterranean coasts, providing data on the presence of both tdh- and trh-positive isolates. V. parahaemolyticus has previously been detected in several European countries (4, 13, 21, 22). A recent study carried out in Spain detected tdh-positive V. parahaemolyticus strains from patients who had consumed fresh oysters in a market in Galicia on the Atlantic coast of Spain (12) and potentially pathogenic V. parahaemolyticus strains have also been reported in France (17). These studies indicate that the risk of infections caused by V. parahaemolyticus in Europe is low compared to that in America or Asia (15). However, this risk could have been underestimated, since V. parahaemolyticus is not included in the current European surveillance programs, such as the European Network for Epidemiological Surveillance and Control of Communicable Diseases.Toxigenic V. parahaemolyticus strains detected in this study were genomically and serologically heterogeneous. The pandemic serotype O3:K6 was not detected, and although attempts to isolate O3:K6 from the environment and from seafood have not always been successful in previous studies reviewed by Nair and coauthors (15), this finding seems to be in agreement with the fact that no outbreak of diarrhea was observed in the area. Interestingly, isolates I806 and I1042 have been found positive for both tdh and trh in PCR tests. The coexistence of tdh and trh genes has already been reported in isolates from Japan, the United States, and Mexico (3, 6, 11, 19, 23). To our knowledge, no occurrence of an environmental isolate positive for both tdh and trh had previously been reported in Europe. All isolates tested were slightly different in their antibiotic resistance profiles. Typically, a high level of resistance could be determined. The detection of tdh- and/or trh-positive V. parahaemolyticus strains for the first time on the Mediterranean coast emphasizes the need to monitor for the presence of potentially diarrheal vibrios and bacterial gastroenteritis, and these data should be taken into consideration to revise the European legislation on the requirements for shellfish harvested for consumption in order to include the surveillance of these pathogens in Europe.  相似文献   

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Amino acid modifications of the Thermobifida fusca Cel9A-68 catalytic domain or carbohydrate binding module 3c (CBM3c) were combined to create enzymes with changed amino acids in both domains. Bacterial crystalline cellulose (BC) and swollen cellulose (SWC) assays of the expressed and purified enzymes showed that three combinations resulted in 150% and 200% increased activity, respectively, and also increased synergistic activity with other cellulases. Several other combinations resulted in drastically lowered activity, giving insight into the need for a balance between the binding in the catalytic cleft on either side of the cleavage site, as well as coordination between binding affinity for the catalytic domain and CBM3c. The same combinations of amino acid variants in the whole enzyme, Cel9A-90, did not increase BC or SWC activity but did have higher filter paper (FP) activity at 12% digestion.Cellulases catalyze the breakdown of cellulose into simple sugars that can be fermented to ethanol. The large amount of natural cellulose available is an exciting potential source of fuels and chemicals. However, the detailed molecular mechanisms of crystalline cellulose degradation by glycoside hydrolases are still not well understood and their low efficiency is a major barrier to cellulosic ethanol production.Thermobifida fusca is a filamentous soil bacterium that grows at 50°C in defined medium and can utilize cellulose as its sole carbon source. It is a major degrader of plant cell walls in heated organic materials such as compost piles and rotting hay and produces a set of enzymes that includes six different cellulases, three xylanases, a xyloglucanase, and two CBM33 binding proteins (12). Among them are three endocellulases, Cel9B, Cel6A, and Cel5A (7, 8), two exocellulases, Cel48A and Cel6B (6, 19), and a processive endocellulase, Cel9A (5, 7).T. fusca Cel9A-90 (Uniprot P26221 and YP_290232) is a multidomain enzyme consisting of a family 9 catalytic domain (CD) rigidly attached by a short linker to a family 3c cellulose binding module (CBM3c), followed by a fibronectin III-like domain and a family 2 CBM (CBM2). Cel9A-68 consists of the family 9 CD and CBM3c. The crystal structure of this species (Fig. (Fig.1)1) was determined by X-ray crystallography at 1.9 Å resolution (Protein Data Bank [PDB] code 4tf4) (15). Previous work has shown that E424 is the catalytic acid and D58 is the catalytic base (11, 20). H125 and Y206 were shown to play an important role in activity by forming a hydrogen bonding network with D58, an important supporting residue, D55, and Glc(−1)O1. Several enzymes with amino acid changes in subsites Glc(−1) to Glc(−4) had less than 20% activity on bacterial cellulose (BC) and markedly reduced processivity. It was proposed that these modifications disturb the coordination between product release and the subsequent binding of a cellulose chain into subsites Glc(−1) to Glc(−4) (11). Another variant enzyme with a deletion of a group of amino acids forming a block at the end of the catalytic cleft, Cel9A-68 Δ(T245-L251)R252K (DEL), showed slightly improved filter paper (FP) activity and binding to BC (20).Open in a separate windowFIG. 1.Crystal structure of Cel9A-68 (PDB code 4tf4) showing the locations of the variant residues, catalytic acid E424, catalytic base D58, hydrogen bonding network residues D55, H125, and Y206, and six glucose residues, Glc(−4) to Glc(+2). Part of the linker is visible in dark blue.The CBM3c domain is critical for hydrolysis and processivity. Cel9A-51, an enzyme with the family 9 CD and the linker but without CBM3c, had low activity on carboxymethyl cellulose (CMC), BC, and swollen cellulose (SWC) and showed no processivity (4). The role of CBM3c was investigated by mutagenesis, and one modified enzyme, R557A/E559A, had impaired activity on all of these substrates but normal binding and processivity (11). Variants with changes at five other CBM3c residues were found to slightly lower the activity of the modified enzymes, while Cel9A-68 enzymes containing either F476A, D513A, or I514H were found to have slightly increased binding and processivity (11) (see Table Table1).1). In the present work, CBM3c has been investigated more extensively to identify residues involved in substrate binding and processivity, understand the role of CBM3c more clearly, and study the coordination between the CD and CBM3c. An additional goal was to combine amino acid variants showing increased crystalline cellulose activity to see if this further increased activity. Finally, we have investigated whether the changes that improved the activity of Cel9A-68 also enhanced the activity of intact Cel9A-90.

TABLE 1.

Activities of Cel9A-68 CBM3c variant enzymes and CD variant enzymes used to create the double variants
EnzymeActivity (% of wild type) on:
% Processivity% BC bindingReference
CMCSWCBCFPa
Wild type10010010010010015This work
R378K9891103931392011
DELb981011011289620
F476A97105791001452111
D513A1001151211071192011
I514H104911121041102311
Y520A1087833a79871411
R557A1039860a9390This work
E559A869030a7094This work
R557A+E559A907515a751061511
Q561A1035651a7874This work
R563A977052a931292011
Open in a separate windowaThe target percent digestion could not be reached; activity was calculated using 1.5 μM enzyme.bDEL refers to deletion of T245 to L251 and R252K.  相似文献   

13.
A molecular diagnostic system using single nucleotide polymorphisms (SNPs) was developed to identify four Sclerotinia species: S. sclerotiorum (Lib.) de Bary, S. minor Jagger, S. trifoliorum Erikss., and the undescribed species Sclerotinia species 1. DNAs of samples are hybridized with each of five 15-bp oligonucleotide probes containing an SNP site midsequence unique to each species. For additional verification, hybridizations were performed using diagnostic single nucleotide substitutions at a 17-bp sequence of the calmodulin locus. The accuracy of these procedures was compared to that of a restriction fragment length polymorphism (RFLP) method based on Southern hybridizations of EcoRI-digested genomic DNA probed with the ribosomal DNA-containing plasmid probe pMF2, previously shown to differentiate S. sclerotiorum, S. minor, and S. trifoliorum. The efficiency of the SNP-based assay as a diagnostic test was evaluated in a blind screening of 48 Sclerotinia isolates from agricultural and wild hosts. One isolate of Botrytis cinerea was used as a negative control. The SNP-based assay accurately identified 96% of Sclerotinia isolates and could be performed faster than RFLP profiling using pMF2. This method shows promise for accurate, high-throughput species identification.Sclerotinia is distinguished morphologically from other genera in the Sclerotiniaceae (Ascomycota, Pezizomycotina, Leotiomycetes) by the production of tuberoid sclerotia that do not incorporate host tissue, by the production of microconidia that function as spermatia but not as a disseminative asexual state, and by the development of a layer of textura globulosa composing the outer tissue of apothecia (8). Two hundred forty-six species of Sclerotinia have been reported, most distinguished morphotaxonomically (Index Fungorum [www.indexfungorum.org]). These include the four species of agricultural importance now recognized plus many that are imperfectly known, seldom collected, or apparently endemic to relatively small geographic areas (2, 5, 6, 7, 8, 9, 17).The main species of phythopathological interest in the genus Sclerotinia are S. sclerotiorum (Lib.) de Bary, S. minor Jagger, S. trifoliorum Erikss., and the undescribed species Sclerotinia species 1. Sclerotinia species 1 is an important cause of disease in vegetables in Alaska (16) and has been found in association with wild Taraxacum sp., Caltha palustris, and Aconitum septentrionalis in Norway (7). It is morphologically indistinguishable from S. sclerotiorum, but it was shown to be a distinct species based on distinctive polymorphisms in sequences from internal transcribed spacer 2 (ITS2) of the nuclear ribosomal repeat (7). The other three species have been delimited using morphological, cytological, biochemical, and molecular characters (3, 8, 9, 10, 12, 15). Interestingly, given that the ITS is sufficiently polymorphic in many fungal genera to resolve species, in Sclerotinia, only species 1 and S. trifoliorum are distinguished by characteristic ITS sequence polymorphisms; S. sclerotiorum and S. minor cannot be distinguished based on ITS sequence (2, 7).Sclerotinia sclerotiorum is a necrotrophic pathogen with a broad host range (1). S. minor has a more restricted host range but causes disease in a variety of important crops such as lettuce, peanut, and sunflower crops (11). S. trifoliorum has a much narrower host range, limited to the Fabaceae (3, 8, 9). Sclerotial and ascospore characteristics also serve to differentiate among the three species. Sclerotinia minor has small sclerotia that develop throughout the colony in vitro and aggregate to form crusts on the host, while the sclerotia of S. sclerotiorum and S. trifoliorum are large and form at the colony periphery in vitro, remaining separate on the host (8, 9). The failure of an isolate to produce sclerotia or apothecia in vitro is not unusual, especially after serial cultivation (8). The presence of dimorphic, tetranucleate ascospores characterizes S. trifoliorum, while S. sclerotiorum and S. minor both have uniformly sized ascospores that are binucleate and tetranucleate, respectively (9, 14).With the apparent exception of Sclerotinia species 1, morphological characteristics are sufficient to delimit Sclerotinia species given that workers have all manifestations of the life cycle in hand. In cultures freshly isolated from infected plants, investigators usually have mycelia and sclerotia but not apothecia. Restriction fragment length polymorphisms (RFLPs) in ribosomal DNA (rDNA) are diagnostic for Sclerotinia species (3, 10), but the assay requires cloned probes (usually accessed from other laboratories) hybridized to Southern blots from vertical gels, an impractical procedure for large samples. We have analyzed sequence data from previous phylogenetic studies (2) and have identified diagnostic variation for the rapid identification of the four Sclerotinia species. The single nucleotide polymorphism (SNP) assay that we report here is amenable to a high throughput of samples and requires only PCR amplification with a standard set of primers and oligonucleotide hybridizations to Southern blots in a dot format.The SNP assay was performed using two independent sets of species-specific oligonucleotide probes, all with SNP sites shown to differentiate the four Sclerotinia species (Fig. (Fig.1).1). A panel of 49 anonymously coded isolates (Table (Table1)1) was screened using these species-specific SNP probes, as outlined in Fig. Fig.1.1. The assay was validated by comparison to Southern hybridizations of EcoRI-digested genomic DNA hybridized with pMF2, a plasmid probe containing the portion of the rDNA repeat with the 18S, 5.8S, and 26S rRNA cistrons of Neurospora crassa (4, 10).Open in a separate windowFIG. 1.Protocol for the SNP-based identification of Sclerotinia species, with diagnostic SNP sites underlined and in boldface type for each hybridization probe.

TABLE 1.

Isolates and hybridization results for all SNP-based oligonucleotide probesf
Collector''s isolateAnonymous codePrescreened presumed species identityOriginHostSpecies-specific SNP
IGS50CAL448 S.trifolCAL124CAL448 S.minorRAS148CAL446 S.sp1CAL19ACAL19BCAL448 S.sclero
LMK1849Botrytis cinereaOntario, CanadaAllium cepa
FA2-13Sclerotinia minorNorth CarolinaArachis hypogaea++
W15Sclerotinia minorNorth CarolinaCyperus esculentus++
W1030Sclerotinia minorNorth CarolinaOenothra laciniata++
PF1-138Sclerotinia minorNorth CarolinaArachis hypogaea++
PF18-49714Sclerotinia minorOklahomaArachis hypogaea++
PF17-48246Sclerotinia minorOklahomaArachis hypogaea++
PF19-51948Sclerotinia minorOklahomaArachis hypogaea++
LF-2720Sclerotinia minorUnited StatesLactuca sativa++
AR12811Sclerotinia sclerotiorumArgentinaArachis hypogaea++
AR128216Sclerotinia sclerotiorumArgentinaArachis hypogaea++
LMK2116Sclerotinia sclerotiorumCanadaBrassica napus++
LMK5725Sclerotinia sclerotiorumNorwayRanunculus ficaria++
LMK75415Sclerotinia sclerotiorumNorwayRanunculus ficaria++
UR1939Sclerotinia sclerotiorumUruguayLactuca sativa++
UR4789Sclerotinia sclerotiorumUruguayLactuca sativa++
CA90132Sclerotinia sclerotiorumCaliforniaLactuca sativa++
CA99540Sclerotinia sclerotiorumCaliforniaLactuca sativa++
CA104441Sclerotinia sclerotiorumCaliforniaLactuca sativa++
1980a34Sclerotinia sclerotiorumNebraskaPhaseolus vulgaris++
Ss00113Sclerotinia sclerotiorumNew YorkbGlycine max++
Ssp00531Sclerotinia sclerotiorumNew YorkGlycine max++
H02-V2833Sclerotinia species 1AlaskacUnknown vegetable crop++
H01-V1426Sclerotinia species 1AlaskaUnknown vegetable crop++
LMK74521Sclerotinia species 1NorwayTaraxacum sp.++
02-2611Sclerotinia trifoliorumFinlanddTrifolium pratense+
06-1429Sclerotinia trifoliorumFinlandTrifolium pratense++
2022Sclerotinia trifoliorumFinlandTrifolium pratense++
2-L945Sclerotinia trifoliorumFinlandTrifolium pratense++
3-A524Sclerotinia trifoliorumFinlandTrifolium pratense
5-L912Sclerotinia trifoliorumFinlandTrifolium pratense++
K14Sclerotinia trifoliorumFinlandTrifolium pratense++
K237Sclerotinia trifoliorumFinlandTrifolium pratense++
L-11223Sclerotinia trifoliorumFinlandTrifolium pratense++
L-11944Sclerotinia trifoliorumFinlandTrifolium pratense++
LMK3619Sclerotinia trifoliorumTasmaniaTrifolium repens++
Ssp00118Sclerotinia trifoliorumNew YorkLotus corniculatus++
Ssp00210Sclerotinia trifoliorumNew YorkLotus corniculatus++
Ssp00328Sclerotinia trifoliorumNew YorkLotus corniculatus++
Ssp00436Sclerotinia trifoliorumNew YorkLotus corniculatus++
LMK4743Sclerotinia trifoliorumVirginiaMedicago sativa++
MBRS-127UnknownAustraliaeBrassica spp.++
MBRS-27UnknownAustraliaBrassica spp.++
MBRS-342UnknownAustraliaBrassica spp.++
MBRS-522UnknownAustraliaBrassica spp.++
WW-135UnknownAustraliaBrassica spp.++
WW-28UnknownAustraliaBrassica spp.++
WW-317UnknownAustraliaBrassica spp.++
WW-447UnknownAustraliaBrassica spp.++
Open in a separate windowaThe annotated genome for S. sclerotiorum strain 1980 (ATCC 18683) is publicly available through the Broad Institute, Cambridge, MA (http://www.broad.mit.edu/annotation/genome/sclerotinia_sclerotiorum/Home.html).bAll isolates from New York were provided by Gary C. Bergstrom, Cornell University, Ithaca, NY. Isolates Ss001 and Ssp005 were submitted as S. sclerotiorum, and Ssp001 through Ssp004 were submitted as S. trifoliorum.cAll isolates from Alaska, submitted as Sclerotinia species 1, were provided by Lori Winton, USDA-ARS Subarctic Agricultural Research Unit, University of Alaska, Fairbanks.dAll isolates from Finland, submitted as S. trifoliorum, were provided by Tapani Yli-Mattila, University of Turku, Turku, Finland.eAll isolates from Australia, presumed to be S. sclerotiorum but requiring species confirmation, were provided by Martin Barbetti, DAF Plant Protection Branch, South Perth, Australia.fThe probes that are diagnostic for S. minor, S. sclerotiorum, S. trifoliorum, and Sclerotinia species 1 are listed, with a “+” indicating a positive hybridization for the probe and a “−” indicating no hybridization of the probe.  相似文献   

14.
15.
A total of 210 Salmonella isolates, representing 64 different serovars, were isolated from imported seafood samples, and 55/210 isolates were found to be resistant to at least one antibiotic. Class 1 integrons from three multidrug-resistant Salmonella enterica strains (Salmonella enterica serovars Newport [strain 62], Typhimurium var. Copenhagen [strain 629], and Lansing [strain 803], originating from Hong Kong, the Philippines, and Taiwan, respectively) were characterized. Southern hybridization of plasmids isolated from these strains, using a class 1 integron probe, showed that trimethoprim-sulfamethoxazole and streptomycin resistance genes were located on a megaplasmid in strain 629. Our study indicates that imported seafood could be a reservoir for Salmonella isolates resistant to multiple antibiotics.Salmonella spp. are recognized as major food-borne pathogens of humans worldwide. In the United States, there are an estimated 800,000 to 4 million Salmonella infections annually, and approximately 500 of the cases are fatal (8, 26). A variety of foods have been implicated as vehicles transmitting salmonellosis to humans, including poultry, beef, pork, eggs, milk, cheese, fish, shellfish, fruits, juice, and vegetables (1, 4, 9, 12, 23). Previous studies by field laboratories of the U.S. Food and Drug Administration have shown the prevalences of Salmonella isolates in imported and domestic seafood as 7.2% and 1.3%, respectively (6, 11, 27).Mobile genetic elements, such as plasmids, transposons, and integrons, which disseminate antibiotic resistance genes by horizontal or vertical transfer, as part of either resistance plasmids or conjugative transposons, play an important role in the evolution and dissemination of multidrug resistance (2, 3, 10, 17). Salmonella genomic island 1 (SGI1), the first genomic island reported to contain an antibiotic resistance gene cluster, was identified in the multidrug-resistant Salmonella enterica serovar Typhimurium strain DT 104 (21).Most studies of the prevalence and characterization of antimicrobial resistance genes and integrons in Salmonella spp. have focused on strains from clinical and veterinary sources. However, little is known about the occurrence of SGI1 and its variants in Salmonella spp. isolated from seafood. We have screened a set of drug-resistant S. enterica strains from seafood belonging to 64 different serovars for SGI1 and class 1 integron conserved sequences (CS). We report the presence of a class I variant integron carrying the dfrXII and aadA2 genes on a megaplasmid in serovar Typhimurium var. Copenhagen and on the chromosome in Salmonella enterica serovar Lansing. We also found the variant class 1 integron carrying the dfrA1 and orfC genes in Salmonella enterica serovar Newport strains from seafood.A total of 210 Salmonella enterica strains isolated from seafood imported into the United States between 2000 and 2005 were identified and serotyped by the Pacific Regional Laboratory-Southwest of the FDA, Irvine, CA. The Salmonella strains represented 20 serogroups (Table (Table1)1) from various imported seafood items. The Salmonella strains were tested with 16 antibiotics (14) commonly used in either human or veterinary medicine on Mueller-Hinton agar (Difco Laboratories, Detroit, MI), using a disk diffusion method. The sensitivity and resistance were determined by the criteria of the Clinical and Laboratory Standards Institute (1999).

TABLE 1.

Salmonella serotypes isolated from imported foods
No. of strainsS. enterica serovar(s) or Salmonella group(s)
39Weltevreden
16Newport
13Saintpaul
10Senftenberg
8Lexington
7Virchow
6Enteritidis, Bareily
5Bovismorbificans, Brunei, Java, Hvittingfoss
4Paratyphi B var. Java, Thompson
3Aberdeen, Cubana, Stanley, Derby, Lansing
2Montevideo, Hadar, Agona, San Diego, Braenderup, Lanka, Salmonella enterica subsp. diarizonae, Oslo, Bareily variant, Salmonella monophasic group C2
1Ouakam, Cannstatt, Albany, Newport/Bardo, Adelaide, S. enterica subsp. diarizonae, Houten, Giza, Miami, Onderstepoof, Infantis, Salmonella monophasic group D1, Mbandaka, Salmonella monophasic group G2, Ohio, Rutgers, Salmonella monophasic group D2, Amsterdam, Salmonella enterica subsp. IV serotype 43:z4z23, Paratyphi B var. Java, Wentworth, Potsdam, Muenster var. 15+, 34+, Lexington var. 15+, Weltevreden var. 15+, S. enterica subsp. I, Madella, Alachua, London, Singapore, Uphill, Thielallee, Typhimurium var. Copenhagen
Open in a separate windowAll Salmonella strains that were resistant to three or four antibiotics and trimethoprim were screened by PCR for the presence of class 1 integrons, using the CSL1 and CSR1 primers (Table (Table2)2) (14). To confirm other antibiotic resistance genes, we used primers and PCR methods described previously (13, 14, 16). To identify SGI1 in multidrug-resistant strains, PCR was performed by using primers U7-L12/LJ-R1 and 104-RJ/104-D (Table (Table2),2), corresponding to the left and right junctions of SGI1 in the Salmonella chromosome, respectively (16). For a positive control, serovar Typhimurium DT104 strain DT7 (13) was used. As a negative control, Escherichia coli cells or DNA was used. A reagent blank included in each PCR contained distilled water instead of template DNA. For sequencing, the PCR-amplified integrons were purified and cloned into plasmid vector pCR2.1 (Invitrogen Corp., Carlsbad, CA). The clones were investigated for the presence of inserts by isolating the recombinant plasmid, which was confirmed by digestion with the restriction enzyme EcoRI. Sequencing of both strands was performed. DNA sequences were analyzed with Lasergene (DNASTAR, Inc., Madison, WI) software. Oligonucleotide primers and probes were purchased from MWG Biotech (High Point, NC).

TABLE 2.

Primer pairs for integron PCR and sequencing
PrimerSequence (5′-3′)LocationPCR product size (bp)
CSL1GGC ATC CAA GCA GCA AGC5′ CS
CSR1AAG CAG ACT TGA CCT GAT3′ CS
U7-L12ACA CCT TGA GCA GGG CAA AGthdF500
LJ-R1AGT TCT AAA GGT TCG TAG TCG
104-RJTGA CGA GCT GAA GCG AAT TGS044
104DACC AGG GCA AAA CTA CAC AGyidY
aadA2FTGT TGG TTA CTG TGG CCG TAaadA2380
aadA2RGCT GCG AGT TCC ATA GCT TC
Open in a separate windowPlasmid DNA was isolated using an alkaline lysis method with modifications described previously (19). Plasmids were separated by electrophoresis in 1× Tris-acetate-EDTA buffer at 64 V for 2 h on 1.0% agarose gels, stained with 40 μl of ethidium bromide (0.625 mg/ml) for visualization, and then transferred and cross-linked to positively charged nylon membranes (Roche, Indianapolis, IN). The resulting blots were hybridized at 65°C for 18 h with digoxigenin-labeled DNA probes (1.2-kb and 1.9-kb PCR-amplified products), using CSL1 and CSR1 primers specific for class 1 integrons (22).  相似文献   

16.
GTP cyclohydrolase I (GCYH-I) is an essential Zn2+-dependent enzyme that catalyzes the first step of the de novo folate biosynthetic pathway in bacteria and plants, the 7-deazapurine biosynthetic pathway in Bacteria and Archaea, and the biopterin pathway in mammals. We recently reported the discovery of a new prokaryotic-specific GCYH-I (GCYH-IB) that displays no sequence identity to the canonical enzyme and is present in ∼25% of bacteria, the majority of which lack the canonical GCYH-I (renamed GCYH-IA). Genomic and genetic analyses indicate that in those organisms possessing both enzymes, e.g., Bacillus subtilis, GCYH-IA and -IB are functionally redundant, but differentially expressed. Whereas GCYH-IA is constitutively expressed, GCYH-IB is expressed only under Zn2+-limiting conditions. These observations are consistent with the hypothesis that GCYH-IB functions to allow folate biosynthesis during Zn2+ starvation. Here, we present biochemical and structural data showing that bacterial GCYH-IB, like GCYH-IA, belongs to the tunneling-fold (T-fold) superfamily. However, the GCYH-IA and -IB enzymes exhibit significant differences in global structure and active-site architecture. While GCYH-IA is a unimodular, homodecameric, Zn2+-dependent enzyme, GCYH-IB is a bimodular, homotetrameric enzyme activated by a variety of divalent cations. The structure of GCYH-IB and the broad metal dependence exhibited by this enzyme further underscore the mechanistic plasticity that is emerging for the T-fold superfamily. Notably, while humans possess the canonical GCYH-IA enzyme, many clinically important human pathogens possess only the GCYH-IB enzyme, suggesting that this enzyme is a potential new molecular target for antibacterial development.The Zn2+-dependent enzyme GTP cyclohydrolase I (GCYH-I; EC 3.5.4.16) is the first enzyme of the de novo tetrahydrofolate (THF) biosynthesis pathway (Fig. (Fig.1)1) (38). THF is an essential cofactor in one-carbon transfer reactions in the synthesis of purines, thymidylate, pantothenate, glycine, serine, and methionine in all kingdoms of life (38), and formylmethionyl-tRNA in bacteria (7). Recently, it has also been shown that GCYH-I is required for the biosynthesis of the 7-deazaguanosine-modified tRNA nucleosides queuosine and archaeosine produced in Bacteria and Archaea (44), respectively, as well as the 7-deazaadenosine metabolites produced in some Streptomyces species (33). GCYH-I is encoded in Escherichia coli by the folE gene (28) and catalyzes the conversion of GTP to 7,8-dihydroneopterin triphosphate (55), a complex reaction that begins with hydrolytic opening of the purine ring at C-8 of GTP to generate an N-formyl intermediate, followed by deformylation and subsequent rearrangement and cyclization of the ribosyl moiety to generate the pterin ring in THF (Fig. (Fig.1).1). Notably, the enzyme is dependent on an essential active-site Zn2+ that serves to activate a water molecule for nucleophilic attack at C-8 in the first step of the reaction (2).Open in a separate windowFIG. 1.Reaction catalyzed by GCYH-I, and metabolic fate of 7,8-dihydroneopterin triphosphate.A homologous GCYH-I is found in mammals and other higher eukaryotes, where it catalyzes the first step of the biopterin (BH4) pathway (Fig. (Fig.1),1), an essential cofactor in the biosynthesis of tyrosine and neurotransmitters, such as serotonin and l-3,4-dihydroxyphenylalanine (3, 52). Recently, a distinct class of GCYH-I enzymes, GCYH-IB (encoded by the folE2 gene), was discovered in microbes (26% of sequenced Bacteria and most Archaea) (12), including several clinically important human pathogens, e.g., Neisseria and Staphylococcus species. Notably, GCYH-IB is absent in eukaryotes.The distribution of folE (gene product renamed GCYH-IA) and folE2 (GCYH-IB) in bacteria is diverse (12). The majority of organisms possess either a folE (65%; e.g., Escherichia coli) or a folE2 (14%; e.g., Neisseria gonorrhoeae) gene. A significant number (12%; e.g., B. subtilis) possess both genes (a subset of 50 bacterial species is shown in Table Table1),1), and 9% lack both genes, although members of the latter group are mainly intracellular or symbiotic bacteria that rely on external sources of folate. The majority of Archaea possess only a folE2 gene, and the encoded GCYH-IB appears to be necessary only for the biosynthesis of the modified tRNA nucleoside archaeosine (44) except in the few halophilic Archaea that are known to synthesize folates, such as Haloferax volcanii, where GCYH-IB is involved in both archaeosine and folate formation (13, 44).

TABLE 1.

Distribution and candidate Zur-dependent regulation of alternative GCYH-I genes in bacteriaa
OrganismcPresence of:
folEfolE2
Enterobacteria
    Escherichia coli+
    Salmonella typhimurium+
    Yersinia pestis+
    Klebsiella pneumoniaeb++a
    Serratia marcescens++a
    Erwinia carotovora+
    Photorhabdus luminescens+
    Proteus mirabilis+
Gammaproteobacteria
    Vibrio cholerae+
    Acinetobacter sp. strain ADP1++a
    Pseudomonas aeruginosa++a
    Pseudomonas entomophila L48++a
    Pseudomonas fluorescens Pf-5++a
    Pseudomonas syringae++a
    Pseudomonas putida++a
    Hahella chejuensis KCTC 2396++a
    Chromohalobacter salexigens DSM 3043++a
    Methylococcus capsulatus++a
    Xanthomonas axonopodis++a
    Xanthomonas campestris++a
    Xylella fastidiosa++a
    Idiomarina loihiensis+
    Colwellia psychrerythraea++
    Pseudoalteromonas atlantica T6c++a
    Pseudoalteromonas haloplanktis TAC125++
    Alteromonas macleodi+
    Nitrosococcus oceani++
    Legionella pneumophila+
    Francisella tularensis+
Betaproteobacteria
    Chromobacterium violaceum+
    Neisseria gonorrhoeae+
    Burkholderia cepacia R18194++
    Burkholderia cenocepacia AU 1054++
    Burkholderia xenovorans+
    Burkholderia mallei+
    Bordetella pertussis+
    Ralstonia eutropha JMP134+
    Ralstonia metallidurans++
    Ralstonia solanacearum+
    Methylobacillus flagellatus+
    Nitrosomonas europaea+
    Azoarcus sp.++
Bacilli/Clostridia
    Bacillus subtilisd++
    Bacillus licheniformis++
    Bacillus cereus+
    Bacillus halodurans++
    Bacillus clausii+
    Geobacillus kaustophilus+
    Oceanobacillus iheyensis+
    Staphylococcus aureus+
Open in a separate windowaGenes that are preceded by candidate Zur binding sites.bZur-regulated cluster is on the virulence plasmid pLVPK.cExamples of organisms with no folE genes are in boldface type.dZn-dependent regulation of B. subtilis folE2 by Zur was experimentally verified (17).Expression of the Bacillus subtilis folE2 gene, yciA, is controlled by the Zn2+-dependent Zur repressor and is upregulated under Zn2+-limiting conditions (17). This led us to propose that the GCYH-IB family utilizes a metal other than Zn2+ to allow growth in Zn2+-limiting environments, a hypothesis strengthened by the observation that an archaeal ortholog from Methanocaldococcus jannaschii has recently been shown to be Fe2+ dependent (22). To test this hypothesis, we investigated the physiological role of GCYH-IB in B. subtilis, an organism that contains both isozymes, as well as the metal dependence of B. subtilis GCYH-IB in vitro. To gain a structural understanding of the metal dependence of GCYH-IB, we determined high-resolution crystal structures of Zn2+- and Mn2+-bound forms of the N. gonorrhoeae ortholog. Notably, although the GCYH-IA and -IB enzymes belong to the tunneling-fold (T-fold) superfamily, there are significant differences in their global and active-site architecture. These studies shed light on the physiological significance of the alternative folate biosynthesis isozymes in bacteria exposed to various metal environments, and offer a structural understanding of the differential metal dependence of GCYH-IA and -IB.  相似文献   

17.
At present there is little quantitative information on the identity and composition of bacterial populations in the rumen microbial community. Quantitative fluorescence in situ hybridization using newly designed oligonucleotide probes was applied to identify the microbial populations in liquid and solid fractions of rumen digesta from cows fed barley silage or grass hay diets with or without flaxseed. Bacteroidetes, Firmicutes, and Proteobacteria were abundant in both fractions, constituting 31.8 to 87.3% of the total cell numbers. They belong mainly to the order Bacteroidales (0.1 to 19.2%), hybridizing with probe BAC1080; the families Lachnospiraceae (9.3 to 25.5%) and Ruminococcaceae (5.5 to 23.8%), hybridizing with LAC435 and RUM831, respectively; and the classes Deltaproteobacteria (5.8 to 28.3%) and Gammaproteobacteria (1.2 to 8.2%). All were more abundant in the rumen communities of cows fed diets containing silage (75.2 to 87.3%) than in those of cows fed diets containing hay (31.8 to 49.5%). The addition of flaxseed reduced their abundance in the rumens of cows fed silage-based diets (to 45.2 to 58.7%) but did not change markedly their abundance in the rumens of cows fed hay-based diets (31.8 to 49.5%). Fibrolytic species, including Fibrobacter succinogenes and Ruminococcus spp., and archaeal methanogens accounted for only a small proportion (0.4 to 2.1% and 0.2 to 0.6%, respectively) of total cell numbers. Depending on diet, between 37.0 and 91.6% of microbial cells specifically hybridized with the probes used in this study, allowing them to be identified in situ. The identities of other microbial populations (8.4 to 63.0%) remain unknown.The rumen is an anaerobic ecosystem used by herbivores to convert fibrous plant material into fermentation products that are in turn used as energy by the host. Fibrolytic degradation is accomplished by a complex microbial community which includes specialized fungi, protozoa, and bacteria (14). More than 200 bacterial species (5) have been isolated from rumen, and many of these have been phylogenetically and physiologically characterized. Several of these, including Fibrobacter succinogenes, Ruminococcus albus, and Ruminococcus flavefaciens, have the ability to hydrolyze cellulose in axenic culture (24). Despite the presence of these fibrolytic populations, a large portion of the fiber in low-quality forage diets passes through the rumen undigested. In the rumen, fibrolytic bacteria do not digest plant cell walls in isolation but rather interact with a consortium of bacteria (18). Although culture-dependent studies have improved our understanding of rumen microbiology, the importance of the isolates to the structure and function of the rumen microbial community, with the possible exception of the fibrolytic strains, is still unknown. Expanding our knowledge of the structure and function of the rumen microbial community may provide insights into approaches to improve the efficiency of fiber digestion and biofuel production (14).To provide a high-resolution view of the population structure of the rumen bacterial community, we used quantitative fluorescence in situ hybridization (qFISH) to investigate the composition and distribution of bacterial populations associated with the liquid and solid rumen contents from 12 ruminally cannulated Holstein dairy cows (3 cows were used for each diet) fed (for at least 21 days) grass hay or barley silage diets with or without flaxseed (Table (Table1).1). Six new 16S rRNA-targeted FISH probes (Table (Table2)2) for not only the fibrolytic groups but also other unclassified bacterial groups in the rumen were designed, using ARB software (17), against the rumen 16S rRNA gene sequences (data not shown) retrieved from the Ribosomal Database Project (RDP) database (6). The new probes target Bacteroidales-related clones (probe BAC1080) (phylum Bacteroidetes), Lachnospiraceae- and Ruminococcaceae-related clones (probes LAC435 and RUM831, respectively) (phylum Firmicutes), Butyrivibrio fibrisolvens-related clones (probe BFI826), and R. albus- and R. flavefaciens-related clones (probes RAL1436 and RFL155, respectively).

TABLE 1.

Composition of diets used in this study
IngredientDiet composition (% dry weight)
Hay-based dietHay and flaxseed dietSilage-based dietSilage and flaxseed diet
Alfalfa grass hay (chopped)47.547.500
Barley silage0047.547.5
Steamed rolled barley grain47.532.547.532.5
Ground flaxseeds015015
Other5555
Open in a separate window

TABLE 2.

Oligonucleotide probes and their target populations used in this study for FISH analyses
Probe nameaTarget rRNADesigned target(s)% FAbReference
EUB338 (00159)16SDomain Bacteria0-5016
EUB338II (00160)16SPhylum Planctomycetes0-5016
EUB338III (00161)16SPhylum Verrucomicrobia0-5016
NONEUB (00243)16SControl probe complementary to EUB3380-5016
ALF968 (00021)16SClass Alphaproteobacteria, phylum Proteobacteria2016
BET42a (00034)23SClass Betaproteobacteria, phylum Proteobacteria3516
GAM42a (00174)23SClass Gammaproteobacteria, phylum Proteobacteria3516
SRB385 (00300)16SClass Deltaproteobacteria, phylum Proteobacteria3516
SRB385Db (00301)16SClass Deltaproteobacteria, phylum Proteobacteria3516
HGC69a (00182)23SPhylum Actinobacteria2516
GNSB941 (00718)16SPhylum Chloroflexi3516
CFX1223 (00719)16SPhylum Chloroflexi3516
SPIRO1400 (01004)16SSubgroup of family Spirochaetaceae2016
TM7-905 (00600)16SCandidate phylum TM72016
LGC354A (00195)16SPhylum Firmicutes3516
LGC354B (00196)16SPhylum Firmicutes3516
LGC354C (00197)16SPhylum Firmicutes3516
RUM83116SRumen clones in family Ruminococcaceae, phylum Firmicutes35This study
RAL143616SRuminococcus albus-related clones, phylum Firmicutes20This study
RFL15516SRuminococcus flavefaciens-related clones, phylum Firmicutes45This study
LAC43516SClones in family Lachnospiraceae, phylum Firmicutes35This study
BFI82616SButyrivibrio fibrisolvens-related clones, phylum Firmicutes35This study
BAC108016SClones in order Bacteroidales, phylum Bacteroidetes20This study
Fibr225 (00005)16SFibrobacter succinogenes-related clones, phylum Fibrobacteres20c16
ARCH915 (00027)16SDomain Archaea2016
Open in a separate windowaThe numbers in parentheses after the probe names represent the probe accession numbers in probeBase (16).bFA, formamide concentration used in the FISH buffer.cThe optimum formamide concentration for the probe was determined in this study.The optimal formamide concentrations (OFC) of the new probes used in FISH were assessed in different ways. Probes RUM831 and BAC1080 were assessed by using pure cultures of Ruminococcus and Prevotella strains with zero and one mismatch (Fig. (Fig.1)1) to the probes. The OFC of probes LAC435 and BFI826 were assessed using Clone-FISH (21) with zero and one mismatch 16S rRNA clone (Fig. (Fig.1)1) by following the procedure described previously (9, 10). The highest formamide concentration (tested in 5% stepwise increases) at which a clear fluorescent signal was observed with the reference bacterium or competent cells with zero mismatches after FISH probing, but not with bacteria or competent cells with one mismatch, was selected. The OFC of probes FIB225 (designed by Stahl et al. [23]), RFL155, and RAL1436 were assessed using only pure cultures of F. succinogenes, R. flavefaciens, and R. albus, respectively, all having perfect matches to each probe (Fig. (Fig.1).1). The highest formamide concentration (tested in 5% stepwise increases) at which a clear fluorescent signal was observed with the reference bacterium after FISH probing was selected. These probes were employed with other available probes (Table (Table2)2) chosen from probeBase (16) based on the alignment and classification of the 16S rRNA gene sequences retrieved from rumen communities.Open in a separate windowFIG. 1.Alignments of the probe sequences and their target sites and sequences of corresponding sites in reference bacteria or clones. The probe names in parentheses after the abbreviated names are according to Oligonucleotide Probe Database nomenclature (2). Only the nucleotides that are different from target sequences are shown. E, empty space; R., Ruminococcus; P., Prevotella; F., Fibrobacter.The digest samples from the top, bottom, and middle of the rumen were collected through a cannula, thoroughly mixed, and fractioned as liquid fraction (LiqF) and solid fraction (SolF). On-site, about 100 ml was transferred to a heavy-wall 250-ml beaker and squeezed using a Bodum coffee maker plunger (Bodum Inc., Triengen, Switzerland). The extruded liquid samples (containing the planktonic cells) were fixed in ethanol and paraformaldehyde (PFA) for FISH probing (3). The remaining liquid was discarded, and the squeezed particulate samples (used to collect particulate-attached cells) were washed with 100 ml phosphate buffer (5.23 g/liter K2HPO4, 2.27 g/liter KH2PO4, 3.00 g/liter NaHCO3, and 20 ml/liter 2.5% cysteine HCl) by stirring gently with a spatula, followed by squeezing again and decanting. Washed particulate samples (5 g) were then fixed for FISH as described above.After fixation, the particulate samples plus the fixation solution were transferred into a stomacher bag and “stomached” (Stomacher 400 Circulator, Seaward England) at 230 rpm for 6 min. Treated samples were then transferred into a clean 250-ml beaker and squeezed again. Microscopic examination of the squeezed residues after DAPI (4′,6-diamidino-2-phenylindole) staining (100 μl [0.003 mg/ml] for 10 min) showed only a few bacterial cells attached on the plant fibers, indicating that most bacterial cells had been “stomached” into the liquid (data not shown). To recover cells, filtrates were centrifuged (5,000 × g), and the cell pellet was washed three times with phosphate buffer before being used for FISH probing. On the day of sampling, each cow was sampled twice, at 1100 h and 1600 h. The liquid FISH samples obtained from the 3 cows fed with the same diet (at two different sampling times) were mixed, as were the particulate FISH samples, and used in qFISH analysis. FISH was carried out according to Amann (3). FISH was carried out on glass coverslips (24 by 60 mm) coated with gelatin (9). DAPI staining of biomass samples was carried out after FISH probing. FISH and DAPI images were captured with a Zeiss epifluorescence microscope (Zeiss PM III) equipped with a Canon 5D Mark II camera. Raw images captured randomly were transferred into gray TIF images and sharpened in Adobe Photoshop CS3. Cells stained with DAPI and hybridized to the probes were enumerated using the function provided in ImageJ (1). The percent compositions of these probe-defined groups (against all DAPI-stained cells in the same microscopic field) in the different fractions of rumen contents from cows fed different diets are presented in Table Table33.

TABLE 3.

Distribution and composition of FISH probe-defined groups in rumen microbial communities in cows fed with different diets
Probe-defined microbial groupComposition (mean value [%] ± SD)a
Hay-based diet
Hay and flaxseed diet
Silage-based diet
Silage and flaxseed diet
LiqFSolFLiqFSolFLiqFSolFLiqFSolF
BAC10809.6 ± 1.330.1 ± 0.0219.2 ± 3.714.2 ± 0.7214.2 ± 3.1118.8 ± 3.8814.4 ± 2.8916.7 ± 4.33
ALF9680.2 ± 0.020.2 ± 0.020.2 ± 0.030.2 ± 0.040.7 ± 0.141.5 ± 0.410.1 ± 0.010.1 ± 0.01
BET42a000.6 ± 0.011.2 ± 0.270.1 ± 0.01<0.10.4 ± 0.060.2 ± 0.04
GAM42a3.2 ± 0.534.4 ± 0.574.2 ± 0.764.5 ± 0.672.0 ± 0.321.2 ± 0.238.2 ± 1.235.3 ± 0.95
SRBmix5.8 ± 0.8811.6 ± 2.439.0 ± 1.5210.1 ± 2.5628.3 ± 4.4323.3 ± 4.547.7 ± 0.7813.2 ± 2.22
CHLmix1.7 ± 0.2700.5 ± 0.010 ± 00.2 ± 0.020.4 ± 0.070.1 ± 0.010.1 ± 0.02
SPIRO14000.5 ± 0.091.9 ± 0.321.7 ± 0.332.0 ± 0.211.4 ± 0.311.9 ± 0.330.4 ± 0.030.4 ± 0.07
TM7-9050.6 ± 0.080.8 ± 0.070.5 ± 0.010.1 ± 0.031.5 ± 0.230.2 ± 0.020.6 ± 0.020.3 ± 0.08
HGC69a1.3 ± 0.282.1 ± 0.310.3 ± 0.060.3 ± 0.050.4 ± 0.030.1 ± 0.020.5 ± 0.090.2 ± 0.02
RUM8315.5 ± 0.135.7 ± 0.895.8 ± 0.738.9 ± 1.3218.0 ± 4.1323.8 ± 3.115.6 ± 1.147.4 ± 1.32
RAL14360.4 ± 0.060.3 ± 0.030.2 ± 0.060.2 ± 0.030.3 ± 0.050.6 ± 0.090.7 ± 0.130.6 ± 0.12
RFL1550.7 ± 0.110.2 ± 0.030.3 ± 0.070.7 ± 0.190.1 ± 0.010.8 ± 0.110.5 ± 0.061.2 ± 0.34
LAC43525.5 ± 3.9810.0 ± 1.519.6 ± 1.3111.7 ± 1.6712.6 ± 2.5620.2 ± 3.239.3 ± 1.5116.1 ± 3.31
BFI8260.3 ± 0.060.4 ± 0.050.4 ± 0.060.7 ± 0.120.5 ± 0.050.3 ± 0.082.4 ± 0.370.2 ± 0.02
Fibr225000.2 ± 0.040.1 ± 0.020.8 ± 0.140.7 ± 0.140.4 ± 0.110.1 ± 0.04
ARCH9150.3 ± 0.080.2 ± 0.070.6 ± 0.010.3 ± 0.070.6 ± 0.090.1 ± 0.020.4 ± 0.050.4 ± 0.06
Total hybridizedb54.13752.443.780.991.64860.7
Otherc45.96347.656.319.18.45239.3
Open in a separate windowaThe two numbers represent the mean value (%) and the standard deviation of individual probe-defined microbial groups in a specified rumen digest fraction, which were calculated based on 3 mean values, each consisting of 20 enumerations.bThe numbers represent the sum of percentages of all individual probe-defined microbial groups in a specified rumen digest fraction. The percentages obtained with FISH probes RAL1436, RFL155, and BFI826 were not counted in the sum because the bacterial cells hybridizing with the former two probes also hybridized with RUM831, and the bacterial cells hybridizing with the last probe also hybridized with probe LAC435.cThe numbers represent the percentages of microorganisms which were not identified by FISH in a specified rumen digest fraction.We provided quantitative data by using qFISH to show that Bacteroidetes, Firmicutes, and Proteobacteria were abundant in both the LiqF and the SolF, constituting 31.8 to 87.3% of the total cell numbers. These FISH data add weight to the view that Firmicutes and Bacteroidetes might be dominant in rumens, as suggested previously from their high ratios retrieved from 16S rRNA clone libraries (e.g., see references 12, 26, and 27). However, information emerging from 16S rRNA gene clone library data cannot be used to reach conclusions on the quantitative composition of the rumen bacterial community. Bacteria may have 1 to 14 copies of rRNA genes, and several biases are known to be associated with their PCR amplification (8).These 3 dominant bacterial groups have been identified at a high-resolution level. They belong mainly to the order Bacteroidales (0.1 to 19.2%), hybridizing with probe BAC1080 (Fig. (Fig.22 A); the families Lachnospiraceae (9.3 to 25.5%) and Ruminococcaceae (5.5 to 23.8%), hybridizing with LAC435 (Fig. (Fig.2E)2E) and RUM831 (Fig. (Fig.2D),2D), respectively; and the classes Deltaproteobacteria (5.8 to 28.3%) and Gammaproteobacteria (1.2 to 8.2%), hybridizing with SRBmix (equal moles of SRB385 and SRB385Db) (Fig. (Fig.2C)2C) and GAM42a (Fig. (Fig.2B),2B), respectively. All were more abundant in the microbial communities in the rumens of cows fed diets containing silage (75.2 to 87.3%) than in those in the rumens of cows fed diets containing hay (31.8 to 49.5%). These results show how diets containing different forages (hay or silage) may influence the distribution of the microbial populations, which is in line with data by Tajima et al. (25). We also found in this study that the addition of flaxseed (to inhibit methane emission) reduced their abundance in the rumens of cows fed silage-based diets (to 45.2 to 58.7%) but did not change markedly their abundance in the rumens of cows fed hay-based diets (31.8 to 49.5%), suggesting that adding flaxseed to these diets also affected rumen microbial community composition, although the extent of its influence reflected the forage used, being more profound with a silage-based diet than when hay was used.Open in a separate windowFIG. 2.Images of digest samples from the rumens of cows fed hay- or silage-based diets with and without flaxseed after color combination. Images from probes are labeled in red, and those from DAPI staining are in green. The yellow (combination of red and green), including those partly colored cells in panels A to F, hybridized with probes BAC1080, GAM42a, SRBmix, RUM831, LAC435, and ARCH915, respectively. A few cells (arrows) hybridizing with SRBmix (C) were not stained by DAPI. Bars, 10 μm.We also present evidence here to suggest that Proteobacteria are common members of the microbial community, with sulfur-reducing bacteria (SRB) belonging to Deltaproteobacteria in particular being readily detected (up to 28% of the total cells) in both the LiqF and the SolF of rumen contents from cows fed the four different diets examined here. SRB have seldom been retrieved in clone libraries obtained from rumen samples. Lin et al. (15) have estimated SRB abundance in the rumen using DNA hybridization and concluded that they were of minor importance (0.7 to 0.8% of the total rRNA). Our estimates are much higher than those for every diet regime examined, possibly reflecting the coverage of the probes used in the two different studies. The probe mixture SRBmix used here targets most members of the Deltaproteobacteria, while those of Lin et al. (15) covered mainly members of the Desulfobacteraceae, Desulfovibrionaceae, and Desulfobulbaceae. We also recognized that the probe mixture SRBmix perfectly matched with the 16S rRNA genes of some bacteria other than SRB in Deltaproteobacteria. The possibility of overestimation of SRB cannot be ruled out. Interestingly, our data suggest that Gammaproteobacteria were abundant in some of the rumen communities we examined by FISH, comprising 1.2 to 8.2% of total cells.The other unexpected finding was that the fibrolytic bacteria and archaeal methanogens accounted for only a minor fraction of the communities. Of the three characterized fibrolytic bacterial species, F. succinogenes was not detected in the rumen digesta from cattle fed the hay-based diet but was present in the remainder of the diets. In contrast, R. albus and R. flavefaciens were present in both the LiqF and the SolF of the rumen digesta from cows fed all four diets. Although the importance of these bacteria within the rumen microbial community cannot be denied, these three populations accounted for only 0.7 to 2.1% of the total microbial cells. This numerical range compares well with that determined previously for F. succinogenes (0.1 to 6.9% of total rRNA) (4, 23) and Ruminococcus spp. (1.5 to 2.9% of total rRNA) (11), considering that different animals and diets were used in those studies and that different specificities of the probes and different detection methods were used. However, this is much lower than the 9% (of total rRNA) detected by Michalet-Doreau et al. (19) in their work. The abundance of fibrolytic B. fibrisolvens-related species was also low, being present at <1% in all fractions, except in the LiqF in cows fed the mixture of silage and flaxseed, where they contributed 2.4% of total cells.Methanogens hybridized to ARCH915 (Fig. (Fig.2F)2F) were present (0.1 to 0.6%) in all rumen samples examined by FISH, which is close to or within the range (0.3 to 3.3%) estimated in other studies (15, 22). Interestingly, no marked difference in abundance of the methanogens could be seen between the samples from the rumens of cows fed diets with flaxseed and those from the rumens of cows fed diets without flaxseed, although it has been reported (7) that the addition of fatty acids could decrease methane production in the rumen. This may be due to the presence of methanogens with different activities in different rumen samples or the inability of probe ARCH915 to hybridize to all methanogens in the rumen samples examined here.Bacteria belonging to Chloroflexi, TM7, Spirochetes, and Actinobacteria hybridizing with CHLmix, TM7-905, SPRO1400, and HGC69a, respectively, accounted for only a minor fraction of the total cell numbers observed. In most cases, their abundances in each fraction did not change markedly with diet, always being present in small numbers (0 to 1%), suggesting that they have a minor role there. This conclusion, however, has to be confirmed since many (8.4 to 63.0%, depending on diet) of the bacteria could not be identified in the rumens of cows fed with all diets except the silage-based diet (Table (Table33).FISH with the probes designed in this study failed to identify all of the bacterial cells. This is because the probes do not target all rumen 16S rRNA gene sequences and/or the true extent of rumen biodiversity has not been revealed from cloning analyses. This indicates that our current understanding of the quantitative composition of the rumen microbial community is far from complete. Moreover, no physiological data were generated in this study to suggest what the role(s) of most of the dominant populations (except the SRB hybridized with probe SRBmix) identified by FISH might be, meaning that it is still not possible to link their abundance to their in situ function. Furthermore, each FISH-probed population probably includes bacteria with different phenotypes. Clearly, much needs to be done before the structure and function of the rumen microbial community are fully understood.FISH is a useful tool in the investigation of microbial composition in complex ecosystems (3). However, FISH probes targeting rumen bacterial populations are limited. By comparison with other culture-independent methods, e.g., quantitative PCR, FISH has several advantages (8). In particular, in combination with histochemical staining methods (20) and microautoradiography (MAR-FISH) (13), the in situ ecophysiology of a targeted population can be determined under specified electron acceptor conditions. These techniques may provide important clues as to the functional role of microbial populations within complex communities, like that of the rumen. The possession of the FISH probes described in this paper could allow such studies to be undertaken in herbivore rumens.  相似文献   

18.
The effect of eliminating d-lactate synthesis in poly(3-hydroxybutyrate) (PHB)-accumulating recombinant Escherichia coli (K24K) was analyzed using glycerol as a substrate. K24KL, an ldhA derivative, produced more biomass and had altered carbon partitioning among the metabolic products, probably due to the increased availability of carbon precursors and reducing power. This resulted in a significant increase of PHB and ethanol synthesis and a decrease in acetate production. Cofactor measurements revealed that cultures of K24K and K24KL had a high intracellular NADPH content and that the NADPH/NADP+ ratio was higher than the NADH/NAD+ ratio. The ldhA mutation affected cofactor distribution, resulting in a more reduced intracellular state, mainly due to a further increase in NADPH/NADP+. In 60-h fed-batch cultures, K24KL reached 41.9 g·liter−1 biomass and accumulated PHB up to 63% ± 1% (wt/wt), with a PHB yield on glycerol of 0.41 ± 0.03 g·g−1, the highest reported using this substrate.Poly(3-hydroxybutyrate) (PHB) is the best-known and most common polyhydroxyalkanoate (PHA). PHAs are polymers with thermoplastic properties that are totally biodegradable by microorganisms present in most environments and that can be produced from different renewable carbon sources (38). Accumulated as intracellular granules by many bacteria under unfavorable conditions (1, 21), PHAs are carbon and energy reserves and also act as electron sinks, enhancing the fitness and stress resistance of bacteria and contributing to redox balance (12, 30). Escherichia coli offers a well-defined physiological environment for the construction and manipulation of various metabolic pathways to produce different bioproducts, such as PHB, from cost-effective carbon sources.In recent years, a significant increase in the production of biodiesel has caused a sharp fall in the cost of glycerol, the main by-product of biodiesel synthesis. As a result, glycerol has become a very attractive substrate for bacterial fermentations (10), specially for reduced products, such as PHB (36). The E. coli strain used in this work, K24K, carries phaBAC, the structural genes responsible for PHB synthesis, from Azotobacter sp. strain FA8 (23) (Table (Table1).1). The pha genes in K24K are expressed from a chimeric promoter and consequently are not subject to the genetic regulatory systems present in natural PHA producers. Because of this, it can be assumed that regulation of PHA synthesis in the recombinants is restricted by enzyme activity levels, modulated principally by substrate availability. In most natural producers, and also in PHB-producing E. coli recombinants, PHB is synthesized through the condensation of two molecules of acetyl-coenzyme A (acetyl-CoA), catalyzed by an acetoacetyl-CoA transferase or 3-ketothiolase, resulting in acetoacetyl-CoA. This compound is subsequently reduced by an NAD(P)H-dependent acetoacetyl-CoA reductase to R-(−)-3-hydroxybutyryl-CoA, which is then polymerized by a specific PHA synthase (34).

TABLE 1.

E. coli strains, plasmids, and oligonucleotides used in this study
Strain, plasmid, or oligonucleotideRelevant characteristicsbReference or source
E. coli strains
    K1060aFfadE62 lacI60 tyrT58(AS) fabB5 mel-129
    K24Same as K1060, carrying pJP24; Apr23
    K24KSame as K1060, carrying pJP24K; Apr Kmr23
    ALS786aF λrph-1 ΔldhA::kan; Kmr14
    K24LTSame as K1060 but ΔldhA::kan by K1060 × P1(ALS786), carrying pJP24; Apr KmrThis work
    K24KLSame as K1060 but ΔldhA by allelic replacement, carrying pJP24K; KmrThis work
    TA3522aF λ Δ(his-gnd)861 hisJo-7012
    TA3514aSame as TA3522 but pta-20019
    TA3522LSame as TA3522 but ΔldhA::kan by TA3522 × P1(ALS786); KmrThis work
    TA3514LSame as TA3514 but ΔldhA::kan by TA3514 × P1(ALS786); KmrThis work
Plasmids
    pQE32Expression vector, ColE1 ori; AprQiagen GmbH, Hilden, Germany
    pJP24pQE32 derivative expressing a 4.3-kb BamHI-HindIII insert containing the phaBAC genes from Azotobacter sp. strain FA8 under the control of a T5 promoter/lac operator element; Apr23
    pJP24KpJP24 derivative; Apr Kmr23
    pCP20Helper plasmid used for kan excision; Saccharomyces cerevisiae FLP λ cI857 λ PRrepA(Ts); Apr Cmr7
Oligonucleotides
    ΔldhA-F5′-TAT TTT TAG TAG CTT AAA TGT GAT TCA ACA TCA CTG GAG AAA GTC TTA TGG TGT AGG CTG GAG CTG CTT C-3′This work
    ΔldhA-R5′-CTC CCC TGG AAT GCA GGG GAG CGG CAA GAT TAA ACC AGT TCG TTC GGG CAC ATA TGA ATA TCC TCC TTA G-3′This work
Open in a separate windowaStrain obtained through the E. coli Genetic Stock Center, Yale University, New Haven, CT.bFor oligonucleotides, the ATG codon of ldhA is underlined and the sequences with homology to FRT-kan-FRT in the template plasmid pKD4 (11) are shown in boldface.Cells growing on glycerol are in a more reduced intracellular state than cells grown on glucose under similar conditions of oxygen availability. This has a significant effect on the intracellular redox state, which causes the cells to direct carbon flow toward the synthesis of more-reduced products when glycerol is used than when glucose is used in order to achieve redox balance (31). When metabolic product distribution was analyzed in bioreactor cultures of K24K using glucose or glycerol as the substrate, product distributions with the two substrates were found to be different, as glycerol-grown cultures produced smaller amounts of acetate, lactate, and formate and more ethanol than those grown on glucose. However, PHB production from glycerol was lower than that from glucose, except under conditions of low oxygen availability (13).Manipulations to enhance the synthesis of a metabolic product include several approaches to increase the availability of the substrates needed for its formation or to inhibit competing pathways. The effect of eliminating competing pathways on PHB production from glucose has been investigated through the inactivation of different genes, such as those encoding enzymes participating in the synthesis of acetate (ackA, pta, and poxB) or d-lactate (ldhA). A pta mutant, which produces very little acetate (6), and an frdA ldhA double mutant (40) had increased PHB accumulation from glucose. A recent report using an ackA pta poxB ldhA adhE mutant under microaerobic conditions attained similar results (17). The inactivation of ldhA has also been shown to have an important effect on the metabolic product distribution in recombinant E. coli with glycerol as the carbon source, promoting ethanol synthesis (28). In the present work we analyzed the effect of ldhA inactivation in strain K24K using glycerol as the carbon source, with special emphasis on changes in carbon distribution and in the intracellular redox state, determined through cofactor levels.  相似文献   

19.
A fitness cost due to imbalanced replichores has been proposed to provoke chromosome rearrangements in Salmonella enterica serovars. To determine the impact of replichore imbalance on fitness, the relative fitness of isogenic Salmonella strains containing transposon-held duplications of various sizes and at various chromosomal locations was determined. Although duplication of certain genes influenced fitness, a replichore imbalance of up to 16° did not affect fitness.The bacterial chromosome is a dynamic molecule that can undergo various types of rearrangements, including inversions, translocations, and duplications. These rearrangements can alter gene order and change replichore length. Replichores are defined as the halves of the chromosome between the origin of replication and the terminus region in the vicinity of the dif site (4, 6, 10, 15). In most bacteria, both replichores are approximately the same length, with each comprising 180° around the circular chromosome. In this state, the replichores and DNA replication are balanced. Imbalance is introduced when one replichore becomes longer than the other. For example, if the replichores comprise 200° and 160° around the circular chromosome, the replichores are 20° imbalanced. Various studies over the years have investigated the effect of imbalanced DNA replication on fitness in Escherichia coli (8, 9, 16, 17). In a recent analysis, E. coli strains that contained asymmetrical interreplichore inversions were found to have growth defects when the imbalance was at least 50° (8). While these studies have demonstrated that imbalanced replichores can affect fitness, the approaches used to introduce the imbalance either do not occur or are extremely rare in nature.Duplications play important evolutionary roles because the increase in gene copy number can facilitate adaptation to certain growth conditions (20), as well as being a source for the evolution of new genes (3). Typically duplications occur at frequencies between 10−3 and 10−5 in unselected cultures (2) but are lost at rates of up to 1,000-fold more often if they do not provide a selective advantage (19). Duplications also result in replichore imbalance. However, the effect of duplications on fitness in relation to replichore balance has not been investigated.A major hurdle in studying the effects of duplications on fitness is that if the duplication is detrimental, haploid revertants will outgrow the parental strain containing the duplication. To circumvent this problem, we used a set of 11 isogenic Salmonella enterica strains with transposon-held duplications (5) (Fig. (Fig.11 and Table Table1).1). Culturing these strains in the presence of chloramphenicol selects for the duplication because if the duplication collapses, the transposon is lost and the cells become chloramphenicol sensitive. As the size of the duplications in these strains varies, so does the amount of introduced replichore imbalance, ranging from 5° to 23°. In addition, fitness effects due to the location of the duplication versus the size of the duplication were also discerned, as the collection includes duplications of similar sizes located in different regions of the chromosome.Open in a separate windowFIG. 1.Genetic map of S. enterica serovar Typhimurium LT2 showing genes used as endpoints in constructing transposon-held duplications of the regions between genes. Balanced replichores are indicated by the symmetry of the oriC-Ter axis. Duplications increase the length of one replichore relative to the other, imbalancing axis symmetry.

TABLE 1.

Properties of the S. enterica strains used in this study
StrainAliasGenotypeDuplication location (min)Duplication size (kbp)Replichore imbalance (°)Reference
MST1LT2Wild type1.911
MST3813SV4200Dup [trp248 MudP hisD9953]38-44332.111.55
MST3814SV3193Dup [hisH9962 MudP cysA1586]44-53399.713.75
MST3815SV4015Dup [cysA1586 MudP purG2149]53-56158.45.75
MST3816SV4193Dup [purG2149 MudP argA9001]56-64430.714.75
MST3817SV4194Dup [argA9000 MudP cysG1573]64-75484.616.35
MST3818SV1601Dup [cysG1573 MudP ilvA2642]75-85486.416.45
MST3819SV4195Dup [ilvA2648 MudP purA1881]85-95495.316.75
MST3820SV4142Dup [purA1881 MudP thr469]95-0248.78.85
MST3821SV1604Dup [thr469 MudP proA692]0-8367.112.65
MST3822SV1603Dup [proA692 MudQ purE2164]8-12230.28.15
MST3823SV1611Dup [purE2514 MudP purB1879]12-27723.223.35
MST1529TT11183srl-203::Tn10d(Cam)1
TYT4480rrfH::pCE36This work
MST5198rrfH::pCE36 srl-203::Tn10d(Cam)This work
Open in a separate windowThe relative fitness of these strains was investigated by measuring growth rates and by assaying growth in a mixed culture with an isogenic competitor strain. Single colony isolates streaked from frozen stocks were used to inoculate broth cultures. Growth was measured in E medium supplemented with 0.2% glucose (minimal medium), Luria-Bertani medium (LB), or LB supplemented with 1× E-salts and 0.2% glucose (LBEDO) (18). Competition assays were done in LB. Media were supplemented with chloramphenicol (20 mg/ml) to maintain the duplications, and the solid media used in competition experiments also contained 5-bromo-4-chloro-3-indolyl-β-d-galactopyranoside (X-Gal; 40 mg/ml) to differentiate between the duplication and competitor strains.In minimal medium, most of the strains had a generation time of approximately 40 min, except for MST3813, MST3823, and MST3819, which grew somewhat slower (Fig. (Fig.2).2). In LB, the average generation times of all of the duplication-bearing strains were longer than that of the wild type. When grown in LBEDO, all of the strains had generation times of 11 to 15 min. Observed differences in growth rate were not due to lower viability as determined by plate counts. There was no correlation between duplication size and generation time in any of the three media.Open in a separate windowFIG. 2.Generation times of strains as a function of duplication size. Strains were grown in minimal medium (♦), LB (▪), or LBEDO (▴) aerobically at 37°C. Error bars show standard deviations.Competition indices were determined from mixed cultures with the isogenic competitor strain MST5198 and either the wild-type strain or one of the duplication-bearing strains. The competitor strain contained an integrated plasmid encoding a promoterless lacZ gene (7) driven by the rrnH promoter and Tn10d(Cam) conferring chloramphenicol resistance integrated into the srl locus (Table (Table1).1). Strains were grown to saturation overnight, and 10−4 dilutions were used to inoculate mixed cultures. Samples taken at t = 0 (input) and subsequent time points (output) were diluted and spot plated in triplicate. The competition index (C.I.) was calculated as follows: C.I. = (no. output Lac CFU/no. output Lac+ CFU)/(no. input Lac CFU/no. input Lac+ CFU).Data are shown for 6 and 12 h, but readings were taken at time points of up to 1 week. There was no correlation between the duplication size and the C.I. (Fig. (Fig.3).3). Most of the duplication-bearing strains competed as well as or slightly better than the wild type against the competitor strain. Two exceptions were MST3819 and MST3823, which both competed significantly more poorly against the competitor strain than did the wild-type strain (Student''s t test P < 0.05). While these two strains contain the largest duplications, the size of the duplication in MST3819 was close to the size of the duplications in MST3817 and MST3818. Strains MST3817 and MST3818 were either similar or slightly better competitors than the wild type, indicating that the fitness defect in MST3819 is not due to replichore imbalance.Open in a separate windowFIG. 3.Competition indices of the wild-type and duplication-bearing strains after 6 (▪) and 12 h (░⃞) of growth in mixed cultures with MST5198 (n = 6). Strains are in order of increasing duplication size, with the locations of duplications indicated at the top. Indices statistically significantly different (P < 0.05) from that of the wild-type strain (MST1) are marked (*). Error bars show standard deviations.To confirm that the duplications in MST3819 and MST3823 were responsible for the observed growth defects, isolates of each strain with collapsed duplications were obtained by growing cultures of each strain without chloramphenicol and then screening for chloramphenicol-sensitive derivatives. The loss of the duplication restored wild-type growth to both strains. The frequencies of duplication collapse in cultures of MST3818 and MST3819 were also compared. Since these two strains have duplications of similar sizes, the collapse frequencies of the duplicated regions, and concomitant loss of chloramphenicol resistance, were expected to be similar. While the reversion frequency of MST3818 cells was 3.5 × 10−3 cells/generation, MST3819 cells reverted with a frequency of 2.8 × 10−2 cells/generation, resulting in 97 to 98% of MST3819 cells being chloramphenicol sensitive and haploid after reaching stationary phase.In conclusion, the results of this study show that a replichore imbalance of up to 16° introduced by transposon-held duplications in the chromosome does not have a measurable effect on the fitness of S. enterica. The duplicated regions in these strains are larger than the islands acquired via horizontal gene transfer, which have been purported to disrupt replichore balance sufficiently to promote chromosome rearrangements. A duplication that introduced a replichore imbalance of 23° did have a growth defect, but whether the defect is from replichore imbalance or the gene content of the duplication could not be distinguished. This study suggests that the disruption of replichore balance by acquisition of horizontally transferred genes is not the cause of chromosome rearrangements in host-specific S. enterica serovars as hypothesized (12-14).  相似文献   

20.
Twelve cluster groups of Escherichia coli O26 isolates found in three cattle farms were monitored in space and time. Cluster analysis suggests that only some O26:H11 strains had the potential for long-term persistence in hosts and farms. As judged by their virulence markers, bovine enterohemorrhagic O26:H11 isolates may represent a considerable risk for human infection.Shiga toxin (Stx)-producing Escherichia coli (STEC) strains comprise a group of zoonotic enteric pathogens (42). In humans, infections with some STEC serotypes result in hemorrhagic or nonhemorrhagic diarrhea, which can be complicated by hemolytic-uremic syndrome (HUS) (49). These STEC strains are also designated “enterohemorrhagic E. coli” (EHEC). Consequently, EHEC strains represent a subgroup of STEC with a high pathogenic potential for humans. Strains of the E. coli serogroup O26 were originally classified as enteropathogenic E. coli due to their association with outbreaks of infantile diarrhea in the 1940s. In 1977, Konowalchuk et al. (37) recognized that these bacteria produced Stx, and 10 years later, the Stx-producing E. coli O26:H11/H− strains were classified as EHEC. EHEC O26 strains constitute the most common non-O157 EHEC group associated with diarrhea and HUS in Europe (12, 21, 23, 24, 26, 27, 55, 60). Reports on an association between EHEC O26 and HUS or diarrhea from North America including the United States (15, 30, 33), South America (51, 57), Australia (22), and Asia (31, 32) provide further evidence for the worldwide spread of these organisms. Studies in Germany and Austria (26, 27) on sporadic HUS cases between 1996 and 2003 found that EHEC O26 accounted for 14% of all EHEC strains and for ∼40% of non-O157 EHEC strains obtained from these patients. A proportion of 11% EHEC O26 strains was detected in a case-control study in Germany (59) between 2001 and 2003. In the age group <3 years, the number of EHEC O26 cases was nearly equal to that of EHEC O157 cases, although the incidence of EHEC O26-associated disease is probably underestimated because of diagnostic limitations in comparison to the diagnosis of O157:H7/H− (18, 34). Moreover, EHEC O26 has spread globally (35). Beutin (6) described EHEC O26:H11/H−, among O103:H2, O111:H, O145:H28/H−, and O157:H7/H−, as the well-known pathogenic “gang of five,” and Bettelheim (5) warned that we ignore the non-O157 STEC strains at our peril.EHEC O26 strains produce Stx1, Stx2, or both (15, 63). Moreover, these strains contain the intimin-encoding eae gene (11, 63), a characteristic feature of EHEC (44). In addition, EHEC strains possess other markers associated with virulence, such as a large plasmid that carries further potential virulence genes, e.g., genes coding for EHEC hemolysin (EHEC-hlyA), a catalase-peroxidase (katP), and an extracellular serine protease (espP) (17, 52). The efa1 (E. coli factor for adherence 1) gene was identified as an intestinal colonization factor in EHEC (43). EHEC O26 represents a highly dynamic group of organisms that rapidly generate new pathogenic clones (7, 8, 63).Ruminants, especially cattle, are considered the primary reservoir for human infections with EHEC. Therefore, the aim of this study was the molecular characterization of bovine E. coli field isolates of serogroup O26 using a panel of typical virulence markers. The epidemiological situation in the beef herds from which the isolates were obtained and the spatial and temporal behavior of the clonal distribution of E. coli serogroup O26 were analyzed during the observation period. The potential risk of the isolates inducing disease in humans was assessed.In our study, 56 bovine E. coli O26:H11 isolates and one bovine O26:H32 isolate were analyzed for EHEC virulence-associated factors. The isolates had been obtained from three different beef farms during a long-term study. They were detected in eight different cattle in farm A over a period of 15 months (detected on 10 sampling days), in 3 different animals in farm C over a period of 8 months (detected on 3 sampling days), and in one cow on one sampling day in farm D (Table (Table1)1) (28).

TABLE 1.

Typing of E. coli O26 isolates
Sampling day, source, and isolateSerotypeVirulence profile by:
fliC PCR-RFLPstx1 genestx2 geneStx1 (toxin)Stx2 (toxin)Subtype(s)
efa1 genebEHEC-hlyA genekatP geneespP genePlasmid size(s) in kbCluster
stx1/stx2eaetirespAespB
Day 15
    Animal 6 (farm A)
        WH-01/06/002-1O26:H11H11++stx1ββββ+/++++110, 127
        WH-01/06/002-2O26:H11H11++stx1ββββ+/++++110, 127
        WH-01/06/002-3O26:H11H11++stx1ββββ+/++++110, 127
    Animal 8 (farm A)
        WH-01/08/002-2O26:H11H11++stx1ββββ+/++++110, 127
    Animal 26 (farm A)
        WH-01/26/001-2O26:H11H11++stx1ββββ+/++++130, 127
        WH-01/26/001-5O26:H11H11++stx1ββββ+/++++110, 127
        WH-01/26/001-6O26:H11H11++stx1ββββ+/++++110, 127
        WH-01/26/001-7O26:H11H11++stx1ββββ+/−+++110, 127
Day 29
    Animal 2 (farm A)
        WH-01/02/003-1O26:H11H11++stx1ββββ+/++++110, 126
        WH-01/02/003-2O26:H11H11++stx1ββββ+/++++110, 126
        WH-01/02/003-5O26:H11H11++stx1ββββ+/++++110, 126
        WH-01/02/003-6O26:H11H11++stx1ββββ+/+++110, 126
        WH-01/02/003-7O26:H11H11++stx1ββββ+/++++110, 126
        WH-01/02/003-8O26:H11H11++stx1ββββ−/++++110, 126
        WH-01/02/003-9O26:H11H11++stx1ββββ+/++++1106
        WH-01/02/003-10O26:H11H11++stx1ββββ+/++++1106
    Animal 26 (farm A)
        WH-01/26/002-2O26:H11H11++stx1ββββ+/++++130, 125
        WH-01/26/002-5O26:H11H11++stx1ββββ+/++++130, 125
        WH-01/26/002-8O26:H11H11++stx1ββββ+/++++130, 125
        WH-01/26/002-9O26:H11H11++stx1ββββ+/++110, 125
        WH-01/26/002-10O26:H11H11++stx1ββββ+/++++130, 125
Day 64
    Animal 20 (farm A)
        WH-01/20/005-3O26:H11H11++stx1ββββ+/+130, 2.52
Day 78
    Animal 29 (farm A)
        WH-01/29/002-1O26:H11H11++stx1ββββ+/−+130, 12, 2.54
        WH-01/29/002-2O26:H11H11++stx1ββββ+/++++130, 12, 2.54
        WH-01/29/002-3O26:H11H11++stx1ββββ+/++++130, 12, 2.54
        WH-01/29/002-4O26:H11H11++stx1ββββ+/++++130, 12, 2.54
        WH-01/29/002-5O26:H11H11++stx1ββββ+/++130, 12, 2.54
Day 106
    Animal 27 (farm A)
        WH-01/27/005-2O26:H11H11++stx1ββββ+/−+++145, 110, 123
        WH-01/27/005-5O26:H11H11++stx1ββββ+/++++130, 12, 2.55
        WH-01/27/005-6O26:H11H11++stx1ββββ+/+130, 12, 2.55
Day 113
    Animal 7 (farm C)
        WH-04/07/001-2O26:H11H11++++stx1/stx2ββββ+/+++55, 35, 2.511
        WH-04/07/001-4O26:H11H11++++stx1/stx2ββββ+/++++5512
        WH-04/07/001-6O26:H11H11++++stx1/stx2ββββ+/++++5512
Day 170
    Animal 22 (farm C)
        WH-04/22/001-1O26:H11H11++stx1ββββ+/++++110, 12, 6.312
        WH-04/22/001-4O26:H11H11++stx1ββββ+/++++110, 12, 6.312
        WH-04/22/001-5O26:H11H11++stx1ββββ+/++++110, 12, 6.312
Day 176
    Animal 14 (farm D)
        WH-03/14/004-8O26:H11H11++stx1ββββ+/+++11010
Day 218
    Animal 27 (farm A)
        WH-01/27/009-1O26:H11H11++++stx1/stx2ββββ+/++++110, 129
        WH-01/27/009-2O26:H11H11++++stx1/stx2ββββ+/++++110, 129
        WH-01/27/009-3O26:H11H11++++stx1/stx2ββββ+/++++110, 128
        WH-01/27/009-8O26:H11H11++++stx1/stx2ββββ+/++110, 128
        WH-01/27/009-9O26:H11H11++++stx1/stx2ββββ+/++++110, 129
Day 309
    Animal 29 (farm A)
        WH-01/29/010-1O26:H11H11++stx1ββββ+/++++110, 35, 124
        WH-01/29/010-2O26:H11H11++stx1ββββ+/++130, 55, 358
        WH-01/29/010-3O26:H11H11++stx1ββββ+/++++130, 35, 128
Day 365
    Animal 8 (farm C)
        WH-04/08/008-6O26:H11H11++stx1ββββ+/++++110, 5512
Day 379
    Animal 9 (farm A)
        WH-01/09/016-2O26:H32H32++stx1/stx2−/−145, 130, 1.81
    Animal 27 (farm A)
        WH-01/27/014-3O26:H11H11++stx1ββββ+/++++110, 129
        WH-01/27/014-4O26:H11H11++stx1ββββ+/++++110, 129
        WH-01/27/014-5O26:H11H11++stx1ββββ+/++++110, 128
Day 407
    Animal 29 (farm A)
        WH-01/29/013-4O26:H11H11++stx1ββββ+/++++110, 12, 2.58
        WH-01/29/013-7O26:H11H11++stx1ββββ+/++++110, 12, 2.58
Day 478
    Animal 27 (farm A)
        WH-01/27/017-1O26:H11H11++++stx1/stx2ββββ+/++++110, 128
        WH-01/27/017-5O26:H11H11++++stx1/stx2ββββ+/++++110, 128
        WH-01/27/017-6O26:H11H11++++stx1/stx2ββββ+/++++1108
        WH-01/27/017-7O26:H11H11++++stx1/stx2ββββ+/++++1108
        WH-01/27/017-10O26:H11H11+++stx1ββββ+/++++130, 12, 2.58
Open in a separate windowastx1/stx2, gene stx1 or stx2.befa1 was detected by two hybridizations (with lifA1-lifA2 and lifA3-lifA4 probes). +/+, complete gene; +/− or −/+, incomplete gene; −/−, efa1 negative.The serotyping of the O26 isolates was confirmed by the results of the fliC PCR-restriction fragment length polymorphism (RFLP) analysis performed according to Fields et al. (25), with slight modifications described by Zhang et al. (62). All O26:H11 isolates showed the H11 pattern described by Zhang et al. (62). In contrast, the O26:H32 isolate demonstrated a different fliC RFLP pattern that was identical to the H32 pattern described by the same authors. It has been demonstrated that EHEC O26:H11 strains belong to at least four different sequence types (STs) in the common clone complex 29 (39). In the multilocus sequence typing analysis for E. coli (61), the tested five EHEC O26:H11 isolates (WH-01/02/003-1, WH-01/20/005-3, WH-01/27/009-9, WH-03/14/004-8, and WH-04/22/001-1) of different farms and clusters were characterized as two sequence types (ST 21 and ST 396). The isolates from farms A and C belong to ST 21, the most frequent ST of EHEC O26:H11 isolates found in humans and animals (39), but the single isolate from farm D was characterized as ST 396.Typing and subtyping of genes (stx1 and/or stx2, eae, tir, espA, espB, EHEC-hlyA, katP, and espP) associated with EHEC were performed with LightCycler fluorescence PCR (48) and different block-cycler PCRs. To identify the subtypes of the stx2 genes and of the locus of enterocyte effacement-encoding genes eae, tir, espA, and espB, the PCR products were digested by different restriction endonucleases (19, 26, 46). The complete pattern of virulence markers was detected in most bovine isolates examined in our study. An stx1 gene was present in all O26 isolates. In addition, an stx2 gene was found in nine O26:H11 isolates in farm A and in three isolates of the same type in farm C, as well as in the O26:H32 isolate. Both Stx1 and Stx2 were closely related to families of Stx1 and Stx2 variants or alleles. EHEC isolates with stx2 genes are significantly more often associated with HUS and other severe disease manifestations than isolates with an stx1 gene, which are more frequently associated with uncomplicated diarrhea and healthy individuals (13). In contrast to STEC strains harboring stx2 gene variants, however, STEC strains of the stx2 genotype were statistically significantly associated with HUS (26). The stx2 genotype was found in all O26 isolates with an stx2 gene, while the GK3/GK4 amplification products after digestion with HaeIII and FokI restriction enzymes showed the typical pattern for this genotype described by Friedrich et al. (26). The nucleotide sequences of the A and B subunits of the stx2 gene of the selected bovine O26:H11 isolate WH-01/27/017-1 (GenBank accession no. EU700491) were identical to the stx2 genes of different sorbitol-fermenting EHEC O157:H− strains associated with human HUS cases and other EHEC infections in Germany (10) and 99.3% identical in their DNA sequences to the stx2 gene of the EHEC type strain EDL933, a typical O157:H7 isolate from an HUS patient. A characteristic stx1 genotype was present in all O26 isolates. The nucleotide sequences of the A and B subunits of the stx1 gene of the tested bovine O26:H11 isolate WH-01/27/017-1 (GenBank accession no. EU700490) were nearly identical to those of the stx1 genes of the EHEC O26:H11 reference type strains H19 and DEC10B, which had been associated with human disease outbreaks in Canada and Australia. Nucleotide exchanges typical for stx1c and stx1d subtypes as described by Kuczius et al. (38) were not found. All bovine O26:H11 strains produced an Stx1 with high cytotoxicity for Vero cells tested by Stx enzyme-linked immunosorbent assay and Vero cell neutralization assay (53). The Stx2 cytotoxicity for Vero cells was also very high in the O26:H11 isolates.Not only factors influencing the basic and inducible Stx production are important in STEC pathogenesis. It has been suggested that the eae and EHEC-hlyA genes are likely contributors to STEC pathogenicity (2, 3, 13, 50). Ritchie et al. (50) found both genes in all analyzed HUS-associated STEC isolates. In all O26:H11 isolates we obtained, stx genes were present in combination with eae genes. Only the O26:H32 isolate lacked an eae gene. To date, 10 distinct variants of eae have been described (1, 19, 36, 45, 47). Some serotypes were closely associated with a particular intimin variant: the O157 serogroup was linked to γ-eae, the O26 serogroup to β-eae, and the O103 serogroup to ɛ-eae (4, 19, 20, 58). Our study confirms these associations. All bovine O26:H11 isolates were also typed as members of the β-eae subgroup. A translocated intimin receptor gene (tir gene) and the type III secreted proteins encoded by the espA and espB genes were found in all 56 O26:H11 isolates but not in the O26:H32 isolate. These other tested locus of enterocyte effacement-associated genes belonged to the β-subgroups. These results are in accord with the results of China et al. (19), who detected the pathotypes β-eae, β-tir, β-espA, and β-espB in all investigated human O26 strains. Like the eae gene, the EHEC-hlyA gene was found in association with severe clinical disease in humans (52). Aldick et al. (2) showed that EHEC hemolysin is toxic (cytolytic) to human microvascular endothelial cells and may thus contribute to the pathogenesis of HUS. In our study, the EHEC-hlyA gene was detected in 50 of the 56 bovine E. coli O26:H11 isolates which harbored virulence-associated plasmids of different sizes (Table (Table1).1). The presence of virulence-associated plasmids corresponded to the occurrence of additional virulence markers such as the espP and katP genes (17). The katP gene and the espP gene were detected in 49 and 50 of the 56 O26:H11 isolates, respectively. The espP gene was missing in six of the seven bovine O26:H11 isolates in which the katP genes were also absent. Both genes were not found in the O26:H32 isolate (Table (Table1).1). Although we found large plasmids of the same size in O26:H11 isolates, they lacked one or more of the plasmid-associated virulence factors (Table (Table1).1). Two DNA probes were used to detect the efa1 genes by colony hybridization. (DNA probes were labeled with digoxigenin [DIG] with lifA1-lifA2 and lifA3-lifA4 primers [14] using the PCR DIG probe synthesis kit [Roche Diagnostics, Mannheim, Germany]; DIG Easy Hyb solution [Roche] was used for prehybridization and hybridization.) Positive results with both DNA probes were obtained for 52 of 56 E. coli O26:H11 isolates. A positive signal was only found in three isolates with the lifA1-lifA2 DNA probe and in one isolate with the lifA3-lifA4 probe. An efa1 gene was not detected in the O26:H32 isolate (Table (Table11).We also analyzed the spatial and temporal behavior of the O26:H11/H32 isolates in the beef herds by cluster analysis (conducted in PAUP* for Windows version 4.0, 2008 [http://paup.csit.fsu.edu/about.html]). This was performed with distance matrices using the neighbor-joining algorithm, an agglomerative cluster method which generates a phylogenetic tree. The distance matrices were calculated by pairwise comparisons of the fragmentation patterns produced by genomic typing through pulsed-field gel electrophoresis analysis with four restriction endonucleases (XbaI, NotI, BlnI, and SpeI) and the presence or absence of potential virulence markers (Fig. (Fig.11 and Table Table1).1). To this end, the total character difference was used, which counts the pairwise differences between two given patterns. During a monitoring program of 3 years in four cattle farms (29), different O26:H11 cluster groups and one O26:H32 isolate were detected in three different farms. The genetic distance of the O26:H32 isolate was very high relative to the O26:H11 isolates. Therefore, the O26:H32 isolate was outgrouped. The O26:H11 isolates of each farm represented independent cluster groups. The single isolate from farm D fitted better to the isolates from farm C than to those from farm A. This finding is in accord with the geographical distance between the farms. The fact that the farms were located in neighboring villages may suggest that direct or indirect connections between the farms were possible (e.g., by person contacts or animal trade). However, the isolates from farm C and farm D belonged to different sequence types (ST 21 and ST 396), which may argue against a direct connection. Interestingly, O26:H11 isolates with and without stx2 genes were detected in the same clusters. This phenomenon was observed in both farm A and farm C. In farm A, the isolates with additional stx2 genes were found in animal 27 and were grouped in clusters 8 and 9 (day 218). An stx2 gene was repeatedly found (four isolates) in the same animal (animal 27). The isolates grouped in cluster 8 on a later day of sampling (day 478). All other O26:H11 isolates grouped in the same clusters and obtained from the same animals (27 and 29) on different sampling days lacked an stx2 gene. Also, the isolates obtained from animal 27 on previous sampling days, which grouped in clusters 3 and 5, exhibited no stx2 genes. In farm C, the three isolates with additional stx2 genes obtained from animal 7 grouped in clusters 11 and 12. An stx2 gene was absent from all other O26:H11 isolates grouped in the same cluster 12 on later sampling days, and no other isolates of cluster 11 were found later on. However, we detected members of many clusters over relatively long periods (clusters 5, 8, and 9 in farm A and cluster 12 in farm C), but members of other clusters were only found on single occasions. This patchy temporal pattern is apparently not a unique property of O26:H11, as we found similar results for cluster groups of other EHEC serotypes of bovine origin (28). The isolates grouped in the dominant cluster 8 were found on 5 of 9 sampling days over a period of 10 months. In contrast, we found the members of clusters 4, 5, 9, and 12 only on two nonconsecutive sampling days. The period during which isolates of these groups were not detected was particularly long for cluster 4 (231 days). We also observed the coexistence of different clusters over long periods in the same farm and in the same cattle (clusters 8 and 9), while one of the clusters dominated. Transmission of clusters between cattle was also observed. These results suggest that some of the EHEC O26:H11 strains had the potential for a longer persistence in the host population, while others had not. The reasons for this difference are not yet clear. Perhaps the incomplete efa1 gene found in isolates of clusters which were only detected once might explain why some strains disappeared rapidly. Efa1 has been discussed as a potential E. coli colonization factor for the bovine intestine used by non-O157 STEC, including O26 (54, 56). The O165:H25 cluster detected during a longer period in farm B may have disappeared after it had lost its efa1 gene (28). The precise biological activity of Efa1 in EHEC O26 is not yet known, but it has been demonstrated that the molecule is a non-Stx virulence determinant which can increase the virulence of EHEC O26 in humans (8).Open in a separate windowFIG. 1.Neighbor-joining tree of bovine E. coli O26:H11/H32 strains based on the restriction pattern obtained after digestion with XbaI, NotI, BlnI, and SpeI.We distinguished 12 different clusters, but complete genetic identity was only found in two isolates. The variations in the O26:H11 clusters may be due to increasing competition between the bacterial populations of the various subtypes in the bovine intestine or to potential interactions between EHEC O26:H11 and the host.The ephemeral occurrence of additional stx2 genes in different clusters and farms may be the result of recombination events due to horizontal gene transfer (16). The loss of stx genes may occur rapidly in the course of an infection, but the reincorporation by induction of an stx-carrying bacteriophage into the O26:H11 strains is possible at any time (9, 40). Nevertheless, an additional stx2 gene may increase the dangerousness of the respective EHEC O26:H11 strains. While all patients involved in an outbreak caused by an EHEC O26:H11 strain harboring the gene encoding Stx2 developed HUS (41), the persons affected by another outbreak caused by an EHEC O26:H11 strain that produced exclusively Stx1 had only uncomplicated diarrhea (60).In conclusion, our results showed that bovine O26:H11 isolates can carry virulence factors of EHEC that are strongly associated with EHEC-related disease in humans, particularly with severe clinical manifestations such as hemorrhagic colitis and HUS. Therefore, strains of bovine origin may represent a considerable risk for human infection. Moreover, some clusters of EHEC O26:H11 persisted in cattle and farms over longer periods, which may increase the risk of transmission to other animals and humans even further.  相似文献   

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