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Ovidiu Rotariu John F. Dallas Iain D. Ogden Marion MacRae Samuel K. Sheppard Martin C. J. Maiden Fraser J. Gormley Ken J. Forbes Norval J. C. Strachan 《Applied and environmental microbiology》2009,75(19):6275-6281
Source attribution using molecular subtypes has implicated cattle and sheep as sources of human Campylobacter infection. Whether the Campylobacter subtypes associated with cattle and sheep vary spatiotemporally remains poorly known, especially at national levels. Here we describe spatiotemporal patterns of prevalence, bacterial enumeration, and subtype composition in Campylobacter isolates from cattle and sheep feces from northeastern (63 farms, 414 samples) and southwestern (71 farms, 449 samples) Scotland during 2005 to 2006. Isolates (201) were categorized as sequence type (ST), as clonal complex (CC), and as Campylobacter jejuni or Campylobacter coli using multilocus sequence typing (MLST). No significant difference in average prevalence (cattle, 22%; sheep, 25%) or average enumeration (cattle, 2.7 × 104 CFU/g; sheep, 2.0 × 105 CFU/g) was found between hosts or regions. The four most common STs (C. jejuni ST-19, ST-42, and ST-61 and C. coli ST-827) occurred in both hosts, whereas STs of the C. coli ST-828 clonal complex were more common in sheep. Neither host yielded evidence for regional differences in ST, CC, or MLST allele composition. Isolates from the two hosts combined, categorized as ST or CC, were more similar within than between farms but showed no further spatiotemporal trends up to 330 km and 50 weeks between farm samples. In contrast, both regions yielded evidence for significant differences in ST, CC, and allele composition between hosts, such that 65% of isolates could be attributed to a known host. These results suggest that cattle and sheep within the spatiotemporal scales analyzed are each capable of contributing homogeneous Campylobacter strains to human infections.Campylobacter species are the largest cause of bacterial intestinal infection in the developed and developing world (3). Almost all reported human Campylobacter infections in the United Kingdom are caused by Campylobacter jejuni, which accounts for approximately 92% of cases, and Campylobacter coli, which accounts for most of the rest (8). Campylobacter species are carried asymptomatically in a wide range of host animals and excreted into the environment in feces (23). Humans can be infected by several routes including consumption of contaminated water (14) or food (23); indeed, case control studies indicate that consumption of poultry meat is a risk factor (11, 12, 28), but other foods including unpasteurized milk (33) and meat from cattle and sheep contaminated at the abattoir might be important (30).Cattle and sheep on farms are major hosts of Campylobacter, with up to 89% of cattle herds (31) and up to 55% of sheep flocks (26) being infected. The prevalence of C. jejuni and C. coli combined, estimated at the level of individual animals from fecal specimens, is 23 to 54% in cattle (22, 25) and up to 20% in sheep (37). Campylobacter enumeration in feces shed from individual animals ranges from <102 to 107 CFU/g in both hosts (31), and the concentration shed varies with time. Meat products of cattle and sheep, by contrast, have generally lower levels of Campylobacter contamination. Prevalence values are 0.5 to 4.9% in surveys of retail beef (11a, 17, 36) and 6.9 to 12.6% in surveys of retail lamb and mutton (17, 35).Clinical Campylobacter strains can be attributed to infection sources in animals by comparing subtype frequencies in clinical cases with those in different candidate sources, including cattle, sheep, pigs, and the physical environment. Campylobacter subtype data sets are most transferable when subtypes are defined as sequence type (ST) using multilocus sequence typing (MLST). Three recent MLST-based studies based in northwestern England (34), mainland Scotland (29), northeastern Scotland (32), and New Zealand (24) have used source attribution models to infer the source of human clinical infection. The results suggest that retail chicken is the source with the highest (55 to 80%) attribution while cattle and sheep combined are ranked second (20 to 40%). These attribution models require further empirical validation but appear to be showing broadly similar results.Attribution of human Campylobacter infections to cattle and sheep raises the question of whether Campylobacter subtypes infecting farm cattle and sheep are generally homogeneous or tend to have spatiotemporal structure. Regarding spatial differences, isolates of C. jejuni from a 100-km2 study of farmland area with dairy cattle and sheep in northwestern England displayed increased genetic similarity up to 1 km apart but no further trend over distances of 1 to 14 km apart (7), and isolates from three dairy cattle farms 2 or 5 km apart in the same area demonstrated differences in the frequencies of strains of clonal complexes (CCs) ST-42 and ST-61 (15). Regarding temporal differences, isolates of C. jejuni from five dairy cattle farms in the same area demonstrated differences in the frequency of strains of CC ST-61 between the spring and summer of 2003 (15). Lastly, regarding host-associated strains, STs of CCs ST-21, ST-42, and ST-61 are associated with cattle, and the more limited data for STs from sheep also show the presence of ST-21 and ST-61 (7, 15).The larger-scale spatiotemporal structure of Campylobacter strains from cattle and sheep is poorly known. The main aims of the present study were (i) to characterize C. jejuni and C. coli from cattle and sheep from two distinct geographical Scottish regions in terms of Campylobacter prevalence and enumeration and C. jejuni and C. coli ST composition and (ii) to estimate the extent of host association of C. jejuni and C. coli STs from cattle versus sheep. 相似文献
3.
Jana Rühl Andreas Schmid Lars Mathias Blank 《Applied and environmental microbiology》2009,75(13):4653-4656
Adapted Pseudomonas putida strains grew in the presence of up to 6% (vol/vol) butanol, the highest reported butanol concentration tolerated by a microbe. P. putida might be an alternative host for biobutanol production, overcoming the primary limitation of currently used strains—insufficient product titers due to low butanol tolerance.The focus of biofuel production research has recently shifted from ethanol to bioenergy carriers that are more compatible with existing infrastructure (e.g., refineries, transport, and car engines). At the forefront is n-butanol (hereafter referred to as butanol) for which large-scale production processes have been implemented (16, 35). Existing fermentations, however, are limited in energetically attractive butanol titers, because butanol inhibits microbial growth at concentrations above 16 g/liter (2, 10). As reported for other organic solvents with low logarithm of the partition coefficient in a two-phase octanol/water system (log Pow), this toxicity is due primarily to accumulation of butanol (log Pow, 0.8) in the cell membrane and subsequent impairment (4, 17, 30, 33). With the maximum aqueous solubility of 0.97 M (8.8% [vol/vol]), the maximum membrane concentration of butanol was calculated to be 1.59 M (17), spotlighting its potential toxicity. The low achievable butanol titers have necessitated large reactor volumes, resulting in high purification costs (8, 15). Recent metabolic engineering strategies for improving biobutanol fermentation have focused on maximization of butanol production rates (10, 19), reducing the levels of by-products (20), finding alternative substrates (20), or finding alternative hosts (2, 12, 21, 31). However, recently engineered microbial strains (1, 14) have not overcome butanol toxicity.High organic solvent concentrations are tolerated by strains of the bacterial species Pseudomonas putida reported to grow in a second phase of octanol (25), toluene (13), or styrene (32). This suggests that solvent-tolerant P. putida strains withstand high butanol titers and therefore warrant exploitation as host for butanol production. Indeed, viable solvent-tolerant P. putida S12 cells were observed at butanol concentrations of up to 10% (vol/vol) by live-dead staining and fluorescence microscopy (5) (see supplemental material). We used growth as the parameter of interest, because growth in the presence of butanol directly indicates the potential of selected P. putida strains as hosts for recombinant butanol production.Three solvent-tolerant P. putida strains, DOT-T1E (23), S12 (32), and Pseudomonas sp. strain VLB120 (18), and the solvent-sensitive P. putida reference strain KT2440 (24) were examined for their ability to grow in the presence of butanol. Toxicity assays were performed in 96-well microtiter plates (System Duetz [7]) at 30°C and 300 rpm using glucose-supplemented LB and M9 media (with 10 and 5 g/liter glucose, respectively) (26). Higher glucose concentrations in LB medium did not increase butanol tolerance (data not shown). Butanol was added in all experiments to cells in the mid-exponential phase. Cell growth was monitored by changes in optical density, and substrate and butanol concentrations were analyzed by high-pressure liquid chromatography (Trentec 308R-Gel.H; VWR Hitachi). Comparable low butanol concentrations were withstood by all P. putida strains, with butanol tolerance highly dependent on the medium composition (Table (Table1).1). Growth was observed at butanol concentrations up to 3% (vol/vol), occurring in a culture of Pseudomonas sp. strain VLB120 using glucose-supplemented LB medium.
Open in a separate windowaValues represent the maximum butanol concentration allowing growth (growth rate of ≥0.05 h−1). Data in parentheses were measured in experiments with cells that were stored at −80°C.Because reported adaptation approaches (3, 17, 18, 32) were not successful (see supplemental material), a modified adaptation protocol was developed. Cells were incubated at 30°C on LB agar plates in an airtight desiccator with a butanol saturated gas phase. Colonies were repeatedly transferred every 2 days to new plates for at least 15 times. Cells that underwent this procedure, referred to as treated cells, were harvested and either stored at −80°C prior to testing or assessed immediately for tolerance to butanol (Fig. (Fig.11).Open in a separate windowFIG. 1.Butanol tolerance of P. putida. Growth rates of untreated (A) and adapted (B) cells in LB medium with 10 g/liter glucose as an additional energy and carbon source. The concentration of butanol (cBuOH) is shown on the x axis. The growth rates are normalized to the growth rate in the respective control experiments without butanol. Lines are drawn for better visualization. Error bars present standard deviations of independent experiments (n = 3 to 6). Symbols: ▪, P. putida DOT-T1E; •, P. putida KT2440; ▴, P. putida S12; ▾, Pseudomonas sp. strain VLB120.The treated solvent-tolerant cells grew at rates above 0.05 h−1 (approximately 5% of the maximum growth rate without butanol) in the presence of up to 6% (vol/vol) butanol. Butanol concentrations in the medium decreased during the experiments due to evaporation (i.e., at a rate of 0.76 ± 0.03 mmol l−1 h−1) from an initial concentration of 5% (vol/vol) and, more significantly, due to consumption. Similar butanol uptake rates were observed for all four strains at 5% (vol/vol) initial butanol, ranging from 5.2 to 6.6 mmol l−1 h−1. Therefore, the butanol concentration decreased to only 3.5% (vol/vol) and 4% (vol/vol) after 9 h of cultivation in experiments at initial butanol concentrations of 5% (vol/vol) and 6% (vol/vol), respectively. This decrease resulted in an average butanol concentration of 4.5% (vol/vol) tolerated by the DOT-T1E, S12, and VLB120 cells. Notably, the time course of butanol concentration did not differ significantly with solvent-sensitive P. putida KT2440 that did not grow above 1.5% (vol/vol) butanol.To rationalize the metabolic responses of untreated and treated strains to butanol, we performed 13C-labeled tracer-based flux analysis (3, 18, 27, 34), using minimal medium with 20% U-13C-labeled and 80% naturally labeled glucose, as reported recently (3, 6, 9). During growth without butanol, the four Pseudomonas strains had similar intracellular carbon flux distributions, independent of any prior adaptation to butanol (data not shown). In the presence of butanol, all untreated cells revealed significantly higher specific glucose uptake rates while growth rates decreased (Fig. (Fig.2).2). The reduced biomass yield was not caused by by-product formation (data not shown) but by changes in intracellular flux distribution: the carbon flux was rerouted from biomass synthesis to the tricarboxylic acid (TCA) cycle, which was fueled by pyruvate via pyruvate dehydrogenase and citrate synthase activity. The anaplerotic and gluconeogenic reactions were unaffected. The overall redox cofactor regeneration rates (approximately fourfold higher) resulting from this rerouting suggest that larger amounts of energy are demanded for cell maintenance during butanol stress, similar to the response of P. putida during growth in the presence of other organic solvents with low log Pow (22, 23, 28).Open in a separate windowFIG. 2.Flux distributions in P. putida under butanol stress conditions. The flux distributions in the P. putida strains DOT-T1E, KT2440, and S12 and Pseudomonas sp. strain VLB120 (from top to bottom) were determined during growth in glucose-containing M9 medium supplemented with 1% (vol/vol) butanol using untreated and adapted cells. Butanol catabolism was traced by the fractional labeling of central carbon metabolites (see text for details). The errors for all fluxes were below 10% with the exception of highly active or negligibly fluxes including PEP carboxykinase, pentose-phosphate-pathway (PPP), and phosphoglycoisomerase. The upper bound of the NAD(P)H regeneration rate is presented. Glucose-6-P, glucose-6-phosphate; PGA, 3-phosphoglycerate; PEP, phosphoenolpyruvate.In contrast, physiology and flux distributions differed for adapted DOT-T1E, S12, and VLB120 cells, but not treated KT2440 cells. These strains, coping with high butanol concentrations, had low net glucose consumptions, resulting in comparably lower TCA cycle fluxes and consequently lower redox cofactor regeneration rates (Fig. (Fig.2).2). As indicated above (Fig. (Fig.1),1), P. putida KT2440 did not adapt to butanol, and no metabolic changes were observed compared with the untreated strain.Coconsumption of butanol was considered in calculating the absolute intracellular fluxes by correcting the fractional labeling [FL = n13C/(n12C + n13C)] of the affected amino acids—aspartate, glutamine, isoleucine, leucine, and threonine. The dilution of the fractional isotope label due to butanol coconsumption decreased from acetyl coenzyme A (acetyl-CoA) (FL = 8%) to 2-ketoglutarate (FL = 13%) and oxaloacetate (FL = 15%), suggesting that butanol is cometabolized via β-oxidation to acetyl-CoA, followed by oxidation in the TCA cycle.As calculated from the fractional label of the m-15 isotopomer of leucine (FL = 14%), approximately 60% of the acetyl-CoA originated from butanol. For example, in P. putida KT2440, butanol contributed to the synthesis of acetyl-CoA about 7.22 ± 0.23 mmol g−1 h−1, corresponding to the measured glucose uptake rate of 11.22 ± 0.74 mmol g−1 h−1 [(7.22/11.22) × 100 = 64%]. The untreated solvent-tolerant strains had slightly lower consumption rates of approximately 6.5 mmol g−1 h−1 for butanol and 10.2 mmol g−1 h−1 for glucose. Compared with the untreated strains, adapted DOT-T1E, S12, and VLB120 cells had lower uptake rates of 3.8 to 5.2 mmol g−1 h−1 for butanol and 4.9 to 6.6 mmol g−1 h−1 for glucose. Butanol did not contribute significantly to the synthesis of pyruvate (FL = 19%) and PEP (FL = 20%, or the contribution was below the FL detection limit of 0.5%), suggesting that malic enzyme and phosphoenolpyruvate (PEP) carboxykinase are marginally active under these conditions. This suggests that a synthetic pathway for butanol synthesis from glucose can be implemented in P. putida using native genes for butanol dehydrogenase and aldehyde dehydrogenase with a concomitant decrease of ß-oxidation activity.Butanol degradation of P. putida KT2440 was comparable with the rates of solvent-tolerant cells, but butanol tolerance was not induced, suggesting activity of additional mechanisms of adaptation or tolerance, such as solvent removal by efflux pumps and physiochemical changes of membrane lipids (11, 22). These mechanisms reduce cellular growth rates and biomass yields by imposing higher energy demands. Additionally, energy loss can be caused by swelling and alteration of the lipid layer due to increased proton permeability of the membrane (4) and by reduced efficiency of the electron transport chain (30). In butanol-tolerant cells, the observed reduction in TCA cycle use and energy production in the presence of butanol suggests cell membrane adaptation by lowering its energy demands for maintenance.The observed higher tolerance to butanol in LB medium compared with minimal medium can also be explained by decreased metabolic costs for sustaining biomass synthesis due to direct supply of biomass precursors like amino acids (29). Additional supplementation of LB medium with glucose enhanced butanol tolerance, most likely due to increased energy supplies. For P. putida S12, we calculated glucose uptake rates of 8.01 ± 0.21 mmol g−1 h−1 and 13.53 ± 0.34 mmol g−1 h−1 at initial butanol concentrations of 1% (vol/vol) and 3% (vol/vol), respectively, translating into an increased ATP regeneration rate at 3% (vol/vol) butanol of minimally 13.5 mmol g−1 h−1 (substrate phosphorylation via the Entner-Doudoroff pathway) and up to approximately 350 mmol g−1 h−1 (oxidative phosphorylation). The additional energy demand in the presence of butanol necessitates particular attention during strain and medium engineering.We report solvent-tolerant P. putida strains growing at butanol concentrations as high as 6% (vol/vol). Metabolic flux analysis suggests that this is not based on glucose-butanol coconsumption but rather effected by lowered cell maintenance costs.In conclusion, butanol-tolerant P. putida strains are promising candidates as production hosts, overcoming the principal limitation of biobutanol production—product inhibition at low concentrations. 相似文献
TABLE 1.
Tolerated butanol concentrations in different growth mediaPseudomonas strain and treatment or cell type | Maximum butanol concn [% (vol/vol)]a
| ||
---|---|---|---|
M9 minimal medium with glucose (5 g/liter) | LB medium | LB medium with glucose (10 g/liter) | |
P. putida DOT-T1E | |||
Untreated | 1.5 | 1.5-2.0 | 2.5 |
Adapted | 1.0 (1.0) | 1.5 (2.0) | 6.0 (5.0) |
P. putida KT2440 | |||
Untreated | 1.0 | 1.5 | 2.0 |
Treated | 1.0 (1.0) | 1.5 (1.0) | 1.5 (1.5) |
P. putida S12 | |||
Untreated | 1.5 | 2.0 | 2.5 |
Adapted | 1.0 (1.0) | 1.5-2.0 (1.5) | 6.0 (5.0) |
Pseudomonas sp. strain VLB120 | |||
Untreated | 1.5 | 2.0 | 2.5-3.0 |
Adapted | 1.0 (1.5) | 1.5-2.0 (1.5) | 6.0 (6.0) |
4.
Dario De Medici Fabrizio Anniballi Gary M. Wyatt Miia Lindstr?m Ute Messelh?u?er Clare F. Aldus Elisabetta Delibato Hannu Korkeala Michael W. Peck Lucia Fenicia 《Applied and environmental microbiology》2009,75(20):6457-6461
Botulinum neurotoxin (BoNT), the most toxic substance known, is produced by the spore-forming bacterium Clostridium botulinum and, in rare cases, also by some strains of Clostridium butyricum and Clostridium baratii. The standard procedure for definitive detection of BoNT-producing clostridia is a culture method combined with neurotoxin detection using a standard mouse bioassay (SMB). The SMB is highly sensitive and specific, but it is expensive and time-consuming and there are ethical concerns due to use of laboratory animals. PCR provides a rapid alternative for initial screening for BoNT-producing clostridia. In this study, a previously described multiplex PCR assay was modified to detect all type A, B, E, and F neurotoxin genes in isolated strains and in clinical, food, environmental samples. This assay includes an internal amplification control. The effectiveness of the multiplex PCR method for detecting clostridia possessing type A, B, E, and F neurotoxin genes was evaluated by direct comparison with the SMB. This method showed 100% inclusivity and 100% exclusivity when 182 BoNT-producing clostridia and 21 other bacterial strains were used. The relative accuracy of the multiplex PCR and SMB was evaluated using 532 clinical, food, and environmental samples and was estimated to be 99.2%. The multiplex PCR was also used to investigate 110 freshly collected food and environmental samples, and 4 of the 110 samples (3.6%) were positive for BoNT-encoding genes.Botulinum neurotoxins (BoNTs) are the most toxic agents known, and as little as 30 ng neurotoxin is potentially lethal to humans (36). These toxins are responsible for botulism, a disease characterized by flaccid paralysis. Seven antigenically distinct BoNTs are known (types A to G), and BoNT types A, B, E, and F are the principal types associated with human botulism (37). Significant sequence diversity and antigenically variable subtypes have recently been reported for the type A, B, and E neurotoxin genes (14, 22, 23, 42).Apart from the species Clostridium botulinum, which itself consists of four phylogenetically distinct groups of organisms, some strains of other clostridia, namely Clostridium butyricum and Clostridium baratii, are also known to produce BoNTs (2, 4, 7, 13, 20, 26, 34, 44). Also, strains that produce two toxins and strains carrying silent toxin genes have been reported (8, 22, 24, 39). Due to the great physiological variation of the BoNT-producing clostridia, their isolation and identification cannot depend solely on biochemical characteristics (32). Indeed, the standard culture methods take into consideration only C. botulinum and not C. baratii and C. butyricum, and identification and confirmation require detection of BoNT by a standard mouse bioassay (SMB) (12). The SMB is highly sensitive and specific but also expensive, time-consuming, and undesirable because of the use of experimental animals. Detection of neurotoxin gene fragments by PCR is a rapid alternative method for detection and typing of BoNT-producing clostridia (3). Different PCR methods have been described for detecting neurotoxin type A-, B-, E-, and F-producing clostridia (9, 15-18, 21, 40, 41).A previously described multiplex PCR method able to simultaneously detect type A, B, E, and F neurotoxin genes is a useful tool for rapid detection of the BoNT-producing clostridia (31). While this method generally has a high level of inclusivity for detection of type B, E, and F neurotoxin genes, limitations for detection of the recently described subtype A2, A3, and A4 strains have been identified (6, 28). To increase the efficiency of this multiplex PCR method, new primers were designed to detect genes for all identified type A neurotoxin subtypes (19). Additionally, an internal amplification control (IAC) was added according to ISO 22174/2005. The specificity and selectivity of this multiplex PCR method were evaluated in comparison with an SMB (12) using target and nontarget strains, and the robustness was assessed using clinical, food, and environmental samples. Moreover, to evaluate the applicability of this multiplex PCR method, a survey with food and environmental samples was performed in a German food control laboratory. 相似文献
5.
Wenjin Liu Xiao-Zhou Zhang Zuoming Zhang Y.-H. Percival Zhang 《Applied and environmental microbiology》2010,76(14):4914-4917
A family 5 glycoside hydrolase from Clostridium phytofermentans was cloned and engineered through a cellulase cell surface display system in Escherichia coli. The presence of cell surface anchoring, a cellulose binding module, or a His tag greatly influenced the activities of wild-type and mutant enzymes on soluble and solid cellulosic substrates, suggesting the high complexity of cellulase engineering. The best mutant had 92%, 36%, and 46% longer half-lives at 60°C on carboxymethyl cellulose, regenerated amorphous cellulose, and Avicel, respectively.The production of biofuels from nonfood cellulosic biomass would benefit the economy, the environment, and national energy security (17, 32). The largest technological and economical obstacle is the release of soluble fermentable sugars at prices competitive with those from sugarcane or corn kernels (17, 31). One of the approaches is discovering new cellulases from cellulolytic microorganisms, followed by cellulase engineering for enhanced performance on pretreated solid substrates. However, cellulase engineering remains challenging because enzymatic cellulose hydrolysis is complicated, involving heterogeneous substrates (33, 37), different action mode cellulase components (18), synergy and/or competition among cellulase components (36, 37), and declining substrate reactivity over the course of conversion (11, 26). Directed enzyme evolution, independent of knowledge of the protein structure and the enzyme-substrate interactions (6, 34), has been conducted to generate endoglucanase mutants, such as enhanced activities on soluble substrates (14, 16, 22), prolonged thermostability (20), changed optimum pH (24, 28), or improved expression levels (21). Here, we cloned and characterized a family 5 glycoside hydrolase (Cel5A) from a cellulolytic bacterium, Clostridium phytofermentans ISDg (ATCC 700394) (29, 30), and engineered it for enhanced thermostability. 相似文献
6.
The purpose of this table is to provide the community with a citable record of publications of ongoing genome sequencing projects that have led to a publication in the scientific literature. While our goal is to make the list complete, there is no guarantee that we may have omitted one or more publications appearing in this time frame. Readers and authors who wish to have publications added to subsequent versions of this list are invited to provide the bibliographic data for such references to the SIGS editorial office.
Phylum Crenarchaeota
- Pyrobaculum strain 1860, sequence accession [ CP0030981]
Phylum Deinococcus-Thermus
- “Thermus sp.” Strain CCB_US3_UF1, sequence accession (chromosome), CP003126 (plasmid) [ CP0031272]
Phylum Proteobacteria
- “Achromobacter arsenitoxydans” SY8, sequence accession [ AGUF000000003]
- Acidovorax sp. Strain NO1, sequence accession [ AGTS000000004]
- Acinetobacter baumannii AB4857, sequence accession [ AHAG000000005]
- Acinetobacter baumannii AB5075, sequence accession [ AHAH000000005]
- Acinetobacter baumannii AB5256, sequence accession [ AHAI000000005]
- Acinetobacter baumannii AB5711, sequence accession [ AHAJ000000005]
- Aeromonas salmonicida, sequence accession [ AGVO000000006]
- Aggregatibacter actinomycetemcomitans RHAA1, sequence accession [ AHGR000000007]
- Agrobacterium tumefaciens 5A, sequence accession [ AGVZ000000008]
- Azoarcus sp. Strain KH32C, sequence accession , AP012304 [ AP0123059]
- Burkholderia sp. Strain YI23, sequence accession (Chromosome 1), CP003087 (Chromosome 2), CP003088 (Chromosome 3), CP003089 (plasmid BYI23_D), CP003090 (plasmid BYI23_E) CP003091 (plasmid BYI23_F) [ CP00309210]
- Brucella suis VBI22, sequence accession , CP003128 [ CP00312911]
- Comamonas testosteroni ATCC 11996, sequence accession [ AHIL0000000012]
- “Commensalibacter intestini” A911T, sequence accession [ AGFR0000000013]
- Edwardsiella ictaluri, sequence accession [ CP001600.114]
- Enterobacter cloacae subsp. dissolvens SDM, sequence accession [ AGSY0000000015]
- “Gluconobacter morbifer” G707T, sequence accession [ AGQV0000000016]
- Legionella dumoffii TEX-KL, sequence accession [ AGVT0000000017]
- Legionella dumoffii NY-23, sequence accession [ AGVU0000000017]
- Legionella pneumophila serogroup 12 Strain 570-CO-H, sequence accession [ CP00319218]
- Marinobacterium stanieri S30, sequence accession [ AFPL0000000019]
- “Marinobacter manganoxydans” MnI7-9, sequence accession [ CP001978 to CP00198020]
- Mesorhizobium alhagi CCNWXJ12-2T, sequence accession [ AHAM0000000021]
- Mesorhizobium amorphae, sequence accession [ AGSN0000000022]
- Methylomicrobium alcaliphilum 20Z, sequence accession and FO082060 [ FO08206123]
- Mitsuaria sp. Strain H24L5A, sequence accession [ CAFG01000001 to CAFG0100060724]
- Novosphingobium pentaromativorans US6-1, sequence accession [ AGFM0000000025]
- Pantoea ananatis B1-9, sequence accession [ CAEI01000001 to CAEI0100016926]
- Pantoea ananatis LMG 5342, sequence accession (chromosome), HE617160 (pPANA10) [ HE61716127]
- Pantoea ananatis Strain PA13, sequence accession and CP003085 [ CP00308628]
- Pseudomonas aeruginosa, sequence accession [ AFXI0000000029]
- Pseudomonas aeruginosa, sequence accession [ AFXJ0000000029]
- Pseudomonas aeruginosa, sequence accession [ AFXK0000000029]
- Pseudomonas chlororaphis GP72, sequence accession [ AHAY0100000030]
- Pseudomonas fluorescens F113, sequence accession [ CP00315031]
- Pseudomonas fluorescens Wayne 1R, sequence accession [ CADX01000001 to CADX0100009032]
- Pseudomonas fluorescens Wood1R, sequence accession to CAFF01000001 [ CAFF0100143732]
- Pseudomonas psychrotolerans L19, sequence accession [ AHBD0000000033]
- Pseudoalteromonas rubra ATCC 29570T, sequence accession [ AHCD0000000034]
- Pseudomonas stutzeri SDM-LAC, sequence accession [ AGSX0000000035]
- Pseudoxanthomonas spadix BD-a59, sequence accession [ CP00309336]
- Rickettsia slovaca, sequence accession [ CP00242837]
- Salmonella enterica serovar Pullorum RKS5078, sequence accession [ CP00304738]
- Sinorhizobium meliloti CCNWSX0020, sequence accession [ AGVV0000000039]
- Sphingobium sp. Strain SYK-6, sequence accession and AP012222 [ AP01222340]
- Sphingomonas sp. Strain PAMC 26605, sequence accession [ AHIS0000000041]
- Stenotrophomonas maltophilia RR-10, sequence accession [ AGRB0000000042]
- Strain HIMB30, sequence accession [ AGIG0000000043]
- Taylorella equigenitalis, sequence accession [ CP00305944]
- Vibrio campbellii DS40M4, sequence accession [ AGIE0000000045]
- Vibrio fischeri SR5, sequence accession [ AHIH0000000046]
- Yersinia enterocolitica, sequence accession [ AGQO0000000047]
Phylum Tenericutes
- Candidatus Mycoplasma haemominutum, sequence accession [ HE61325448]
- Mycoplasma haemocanis strain Illinois, sequence accession [ CP00319949]
- Mycoplasma iowae, sequence accession [ AGFP0000000050]
- Mycoplasma pneumoniae Type 2a Strain 309, sequence accession [ AP01230351]
Phylum Firmicutes
- Bacillus cereus F837/76, sequence accession (chromosome) CP003187 (pF837_55kb), CP003188 (pF837_10kb) [ CP00318952]
- Brevibacillus laterosporus Strain GI-9, sequence accession [ CAGD01000001 to CAGD0100006153]
- Clostridium sporogenes PA 3679, sequence accession [ AGAH0000000054]
- Enterococcus mundtii CRL1656, sequence accession [ AFWZ00000000.155]
- Geobacillus thermoleovorans CCB_US3_UF5, sequence accession [ CP00312556]
- Lactobacillus curvatus Strain CRL705, sequence accession [ AGBU0100000057]
- Lactobacillus rhamnosus ATCC 8530, sequence accession [ CP00309458]
- Lactobacillus rhamnosus R0011, sequence accession [ AGKC0000000059]
- Lactococcus garvieae TB25, sequence accession [ AGQX0100000060]
- Lactococcus garvieae LG9, sequence accession [ AGQY0100000060]
- Lactococcus lactis subsp. cremoris A76, sequence accession (chromosome), CP003132 (pQA505), CP003136 (PQA518), CP003135 (pQA549), CP003134 (pQA554) [ CP00313361]
- Leuconostoc citreum LBAE C10, sequence accession [ CAGE0000000062]
- Leuconostoc citreum LBAE C11, sequence accession [ CAGF0000000062]
- Leuconostoc citreum LBAE E16, sequence accession [ CAGG0000000062]
- Leuconostoc mesenteroides subsp. mesenteroides Strain J18, sequence accession [ CP00310163]
- Paenibacillus peoriae Strain KCTC 3763T, sequence accession [ AGFX0000000064]
- Pediococcus acidilactici MA18/5M, sequence accession [ AGKB0000000065]
- Pediococcus claussenii ATCC BAA-344T, sequence accession (chromosome), CP003137 (pPECL-1), CP003138 (pPECL-2), CP003139 (pPECL-3), CP003140 (pPECL-4), CP003141 (pPECL-5), CP003142 (pPECL-6), CP003143 (pPECL-7), CP003144 (pPECL-8) [ CP00314566]
- Staphylococcus aureus M013, sequence accession [ CP00316667]
- Staphylococcus aureus subsp. aureus TW20, sequence accession [ FN43359668]
- Weissella confusa LBAE C39-2, sequence accession [ CAGH0000000069]
Phylum Actinobacteria
- Corynebacterium casei, sequence accession [ CAFW01000001 to CAFW0100010670]
- Corynebacterium glutamicum, sequence accession [ AGQQ0000000071]
- Leucobacter chromiiresistens, sequence accession [ AGCW0000000072]
- Mycobacterium abscessus, sequence accession [ AGQU0000000073]
- Propionibacterium acnes ST9, sequence accession [ CP00319574]
- Propionibacterium acnes ST22, sequence accession [ CP00319674]
- Propionibacterium acnes ST27, sequence accession [ CP00319774]
- Saccharomonospora azurea SZMC 14600, sequence accession [ AHBX0000000075]
- Streptomyces sp. Strain TOR3209, sequence accession [ AGNH0000000076]
- Streptomyces sp. Strain W007, sequence accession [ AGSW0000000077]
Phylum Spirochaetes
- Borrelia valaisiana VS116, sequence accession (chromosome), ABCY02000001 (plasmid Ip17), CP001439 (Ip25), CP001437 (plasmid Ip 28-3), CP001440 (plasmid Ip28-8), CP001442 (Ip 36), CP001436 (plasmid Ip 54), CP001433 (plasmid cp9), CP001438 (plasmid cp26), CP001432 (plasmid cp32-5), CP001441 (plasmid cp32-7), CP001434 (plasmid cp32-10) [ CP00143578]
- “Borrelia bissettii” DN127, sequence accession (chromosome), CP002746 (plasmid Ip12), CP002756 (plasmid Ip25), CP002757 (plasmid 28-3), CP002758 (plasmid Ip 28-4), CP002759 (Ip28-7), CP002760 (plasmid Ip54), CP002761 (plasmid Ip56), CP002762 (plasmid cp9), CP002755 (plasmid cp26), CP002747 (plasmid cp32-3), CP002749 (plasmid cp32-4), CP002750 (plasmid 32-5), CP002751 (plasmid cp32-6), CP002752 (plasmid cp32-7), CP0027554 (plasmid cp32-9), CP002753 (plasmid cp32-11) [ CP00274878]
- Borrelia spielmanii A14S, sequence accession (chromosome), ABKB02000001 (plasmid Ip17), CP001468 (Ip28-3), CP001471 (plasmid Ip28-4), CP001470 (plasmid Ip28-2), CP001465 (plasmid Ip36), CP001466 (plasmid Ip38), CP001464 (plasmid Ip54), CP001469, ABKB02000016 (plasmid cp9), ABKB02000020 (plasmid cp26), CP001467 (plasmid cp32-3), ABKB02000026 (plasmid 32-5), ABKB02000031 (plasmid cp32-12), ABKB02000021 (unidentified) [ ABKB0200001478]
Non-Bacterial genomes
- Aspergillus flavus, sequence accession [ GSE3217779]
- Bacteriophage SPN3UB, sequence accession [ JQ28802180]
- Bamboo mitochondria, sequence accession [ JQ235166 to JQ23517981]
- Boea hygrometrica chloroplast, sequence accession [ JN10781182]
- Boea hygrometrica mitochondrial, sequence accession [ JN10781282]
- Canine Picornavirus, sequence accession [ JN83135683]
- Chandipura virus (CHPV) CIN0327, sequence accession [ GU212856.184]
- Chandipura virus (CHPV) CIN0451, sequence accession [ GU212857.184]
- Chandipura virus (CHPV) CIN0751, sequence accession [ GU212858.184]
- Chandipura virus (CHPV) CIN0755, sequence accession [ GU190711.184]
- Chinese Porcine Parvovirus Strain PPV2010, sequence accession [ JN87244885]
- Common midwife toad megavirus, sequence accession [ JQ23122286]
- Dengue Virus Serotype 4, sequence accession [ JN98381387]
- Duck Tembusu Virus, sequence accession [ JF27048088]
- Duck Tembusu Virus, sequence accession [ JQ31446488]
- Duck Tembusu Virus, sequence accession [ JQ31446588]
- Emiliania huxleyi Virus 202, sequence accession [ HQ63414589]
- Emiliania huxleyi Virus EhV-88, sequence accession [ JF97431089]
- Emiliania huxleyi EhV-201, sequence accession [ JF97431189]
- Emiliania huxleyi EhV-207, sequence accession [ JF97431789]
- Emiliania huxleyi EhV-208, sequence accession [ JF97431889]
- Glarea lozoyensis, sequence accession GUE00000000 [90]
- Nannochloropis gaditana, sequence accession [ AGNI0000000091]
- Oryza sativa cv., sequence accession DRA000499 [92]
- Partetravirus, sequence accession [ JN99026993]
- Porcine Bocavirus PBoV5, sequence accession [ JN83165194]
- Porcine epidemic diarrhea virus, sequence accession [ JQ28290995]
- Pseudomonas aeruginosa lytic bacteriophage PA1Ø, sequence accession [ HM62408096]
- Pseudomonas fluorescens phage OBP, sequence accesssion [ JN62716097]
- RNA Virus from Avocado, sequence accession [ JN88041498]
- Salmonella enterica Serovar Typhimurium Bacteriophage SPN1S, sequence accession [ JN39118099]
- Schistosoma haematobium, sequence accession PRJNA78265 [100]
- Schistosoma mansoni, sequence accession [ ERP00038101]
- Stenopirates sp., sequence accession [ JN100019102]
- T7-Like Virus, sequence accession [ JN651747103]
- Vibrio harveyi siphophage VHS1, sequence accession [ JF713456104]
- Tyrolean ice man, sequence accession ERP001144 [105]
7.
J. Scott Weese Brent P. Avery J. Rousseau Richard J. Reid-Smith 《Applied and environmental microbiology》2009,75(15):5009-5011
Recent studies have identified Clostridium difficile in food animals and retail meat, and concern has been raised about the potential for food to act as a source of C. difficile infection in humans. Previous studies of retail meat have relied on enrichment culture alone, thereby preventing any assessment of the level of contamination in meat. This study evaluated the prevalence of C. difficile contamination of retail ground beef and ground pork in Canada. Ground beef and ground pork were purchased from retail outlets in four Canadian provinces. Quantitative and enrichment culture was performed. Clostridium difficile was isolated from 28/230 (12%) samples overall: 14/115 (12%) ground beef samples and 14/115 (12%) ground pork samples (P = 1.0). For ground beef, 10/14 samples (71%) were positive by enrichment culture only. Of the 4 ground beef samples that were positive by direct culture, 20 spores/g were present in 2 while 120 and 240 spores/g were present in 1 each. For ground pork, 10/14 (71%) samples were positive by enrichment culture only. Of the 4 ground pork samples that were positive by direct culture, 20 spores/g were present in 3 while 60 spores/g were present in 1. Ribotype 078 predominated, consistent with some previous studies of C. difficile in food animals. Ribotype 027/North American pulsotype 1 was also identified in both retail beef and pork. This study has identified relatively common contamination of retail ground beef and pork with C. difficile spores; however, the levels of contamination were very low.Clostridium difficile is an important cause of enteric disease in humans. It is the most commonly diagnosed cause of hospital- and antimicrobial agent-associated diarrhea in people, and recent evidence suggests that it may be emerging as an important community-associated pathogen (2, 5). In addition to humans, C. difficile can be found in the intestinal tracts of a variety of animal species, including food animals, such as cattle and pigs (7, 10, 13). Clostridium difficile has also been found in retail meat (11, 12, 17), and concerns about the role of food in the epidemiology of community-associated C. difficile infection (CA-CDI) have been expressed (5, 8, 15).Initial studies have reported isolation of C. difficile from 4.6 to 45% of retail meat samples (11, 12, 17). However, all studies have used broth enrichment protocols, which could detect very low spore numbers and provide no information about the number of organisms present in a sample. No studies have evaluated numbers of C. difficile spores in food. While the infectious dose is not known, an understanding of the level of contamination may be an important factor in determining the relevance of contamination of food. Additionally, the use of different methods between studies hampers comparison of results. Recently a study was performed to evaluate different methods for qualitative and quantitative detection of C. difficile (21). This study determined that the detection threshold of enrichment culture could be at least as low as 10 spores/g of meat. It also determined that quantitative culture can accurately determine the level of contamination in experimentally inoculated meat samples, albeit with a higher detection threshold. The objective of this study was to determine the prevalence of C. difficile contamination of retail ground beef and ground pork using both qualitative and quantitative methods. 相似文献
8.
9.
Elizabeth A. Ottesen Jared R. Leadbetter 《Applied and environmental microbiology》2010,76(14):4909-4913
We examined the diversity of a marker gene for homoacetogens in two cockroach gut microbial communities. Formyltetrahydrofolate synthetase (FTHFS or fhs) libraries prepared from a wood-feeding cockroach, Cryptocercus punctulatus, were dominated by sequences that affiliated with termite gut treponemes. No spirochete-like sequences were recovered from the omnivorous roach Periplaneta americana, which was dominated by Firmicutes-like sequences.The guts of wood-feeding termites and Cryptocercus punctulatus cockroaches share an unusual pattern of electron flow, as high rates of CO2-reductive acetogenesis typically supplant methanogenesis as the terminal electron sink (2, 3). Past studies have shown that from 10 to 30% of gut acetate produced in environments of termites and wood-feeding cockroaches is microbially generated from CO2 (3, 28), ultimately powering 18 to 26% of the host insect''s own respiratory energy metabolism (25). Nevertheless, most termites emit methane (2), and termite emissions constitute approximately 4% of the global methane budget (27). Cockroaches have been proposed to represent an additional source of note (9). Interestingly, methanogenic termites and cockroaches exhibit increased acetogenesis following addition of exogenous H2 (3, 29). This suggests that these insects are host to a robust population of bacteria that are capable of homoacetogenesis but may be primarily using alternative electron donors (and other substrates and pathways) in vivo.Acetogenic bacteria belonging to two bacterial phyla, Firmicutes and Spirochaetes, have been isolated from the guts of termites (1, 4, 11, 12, 14). Several surveys have targeted and used the gene for formyltetrahydrofolate synthetase (FTHFS), a key gene in the Wood-Ljungdahl pathway of acetogenesis (16), as a potential marker for the pathway (15, 18). For the wood-feeding termites that have been examined, the studies have revealed an abundance of FTHFS sequences that form a coherent phylogenetic cluster, together with genes from homoacetogenic termite gut spirochetes belonging to the genus Treponema (24, 26, 30). This suggests that treponemes may be among the more abundant of the homoacetogens active in these environments.Little is known about the population structure and biology of CO2-reducing, acetogenic bacteria in the guts of either omnivorous or wood-feeding cockroaches. The wood-feeding cockroach Cryptocercus hosts an abundance of flagellate protozoa closely related to those believed to dominate polysaccharide fermentation in the guts of termites (5, 6, 22), suggesting that at least one key environmental niche is filled by similar microbes in both termites and Cryptocercidae. Additionally, Cryptocercidae cockroaches, like termites, house diverse spirochetes and are the site of intense CO2 reduction into acetate (3, 7). Possibly, spirochetes capable of CO2 reduction into acetate are present in the hindguts of cockroaches. However, no evidence has yet been presented for the existence of homoacetogenic treponemes in environments other than the guts of termites, and FTHFS surveys of human (21) or horse (15) fecal matter and bovine rumen samples (20) revealed only Firmicutes-like and other FTHFS alleles that are distinct from those comprising the termite treponeme cluster.Here, by examining FTHFS gene diversity in Cryptocercus punctulatus and Periplaneta americana guts, we endeavored to learn more about the distribution and origins of homoacetogenic treponemes (and their genes) that are found in wood-feeding termites. In particular, we wished to ascertain whether FTHFS genes present in either of the two cockroaches are termite treponeme-like and, if so, whether analysis reveals any obvious signal indicating recent or ancient lateral community transfer events between insect lineages. 相似文献
10.
The purpose of this table is to provide the community with a citable record of publications of ongoing genome sequencing projects that have led to a publication in the scientific literature. While our goal is to make the list complete, there is no guarantee that we may have omitted one or more publications appearing in this time frame. Readers and authors who wish to have publications added to subsequent versions of this list are invited to provide the bibliographic data for such references to the SIGS editorial office.
Phylum Euryarchaeota
- Halococcus hamelinensis, sequence accession PRJNA80845 [1]
- “Methanocella conradii” HZ254, sequence accession [ CP0032432]
- Thermococcus litoralis NS-C, sequence accession [ AHVB000000003]
Phylum Crenarchaeota
- Candidatus Nitrosopumilus salaria” BD31, sequence accession [ AEXL000000004]
- Candidatus Nitrosoarchaeum limnia, sequence accession [ AHJG000000005]
Phylum Deinococcus-Thermus
- Deinococcus gobiensis, sequence accession [ CP0025366]
Phylum Proteobacteria
- Aggregatibacter actinomycetemcomitans strain ANH9381, sequence accession [ CP0030997]
- Alishewanella jeotgali, sequence accession [ AHTH000000008]
- Enterobacter aerogenes KCTC 2190, sequence accession [ CP0028249]
- Escherichia coli O104:H4, sequence accession [ AFOB0200009210]
- Helicobacter pylori strains 17874, sequence accession PRJNA76569 [11]
- Helicobacter pylori strains P79, sequence accession PRJNA76567 [11]
- Janthinobacterium sp. Strain PAMC 25724, sequence accession [ AHHB0000000012]
- Klebsiella oxytoca KCTC 1686, sequence accession [ CP00321813]
- Klebsiella pneumoniae subsp. pneumoniae HS11286, sequence accession (chromosome), CP003200 (plasmid pKPHS1), CP003223 (plasmid pKPHS2), CP003224 (plasmid pKPHS3), CP003225 (plasmid pKPHS4), CP003226 (plasmid pKPHS5), CP003227 (plasmid pKPHS6) [ CP00322814]
- Oceanimonas sp. GK1, sequence accession [ CP00317115]
- “Pseudogulbenkiania ferrooxidans” Strain 2002, sequence accession [ NZ_ACIS0100000016]
- Pseudomonas extremaustralis 14-3b, sequence accession [ AHIP0000000017]
- Pseudomonas sp. Strain PAMC 25886, sequence accession [ AHHC0000000018]
- Psychrobacter, sequence accession [ AHVZ0000000019]
- Rahnella sp. Strain Y9602, sequence accession [ CP00250520]
- Rhizobium sp. Strain PDO1-076, sequence accession [ AHZC0000000021]
- Rhodospirillum photometricum DSM122, sequence accession [ HE66349322]
- “Rickettsia sibirica sibirica”, sequence accession [ AHIZ0000000023]
- Rickettsia sibirica subsp. mongolitimonae strain HA-91, sequence accession [ AHZB0000000024]
- Salmonella enterica subsp. enterica Serotype Enteritidis Strain LA5, sequence accession [25]
- Salmonella enterica subsp. enterica Serotype Senftenberg Strain SS209, sequence accession [ CAGQ0000000026]
- Salmonella enterica subsp. enterica Serovar Typhi P-stx-12, sequence accession (chromosome) and CP003278 (plasmid) [ CP00327927]
- Sphingomonas echinoides ATCC 14820, sequence accession [ AHIR0000000028]
- Strain HIMB55, sequence accession [ AGIF0000000029]
- Vibrio harveyi CAIM 1792, sequence accession [ AHHQ0000000030]
- Wolbachia Strain wAlbB, sequence accession [ CAGB01000001 to CAGB0100016531]
- Xanthomonas axonopodis pv. punicae Strain LMG 859, sequence accession [ CAGJ01000001 to CAGJ0100021732]
Phylum Tenericutes
- Mycoplasma hyorhinis Strain GDL-1, sequence accession [ CP00323133]
Phylum Firmicutes
- Bacillus subtilis, sequence accession BGSCID 3A27 through BGSCID 28A4 [34]
- Clostridium difficile Strain CD37, sequence accession [ AHJJ0000000035]
- Clostridium perfringens, sequence accession [ AFES0000000036]
- Lactobacillus fructivorans KCTC 3543, sequence accession [ AEQY0000000037]
- Lactococcus lactis IO-1, sequence accession [ AP01228138]
- Lactobacillus plantarum strain NC8, sequence accession [ AGRI0000000039]
- Paenibacillus dendritiformis C454, sequence accession [ AHKH0000000040]
- Paenibacillus sp. Strain Aloe-11, sequence accession [ AGFI0000000041]
- “Peptoniphilus rhinitidis” 1-13T, sequence accession [ BAEW01000001 to BAEW0100005642]
- Streptococcus macedonicus ACA-DC 198, sequence accession and HE613569 [ HE61357043]
- Staphylococcus aureus VC40, sequence accession [ CP00303344]
- Streptococcus infantarius subsp. infantarius Strain CJ18, sequence accession (chromosome), CP003295 (plasmid) [ CP00329645]
- Streptococcus macedonicus ACA-DC 198, sequence accession (chromosome), HE613569 (plasmid pSMA198) [ HE61357046]
Phylum Actinobacteria
- Actinoplanes sp. SE50/110, sequence accession [ CP00317047]
- Amycolatopsis sp. Strain ATCC 39116, sequence accession [48]
- Nocardia cyriacigeorgica GUH-2, sequence accession [ FO08284349]
- Salinibacterium sp., sequence accession [ AHWA0000000050]
- Streptomyces acidiscabies 84-104, sequence accession [ AHBF0000000051]
Non-Bacterial genomes
- Bluetongue Virus Serotype 2, sequence accession (Seg-6) and AJ783905 (Seg-1), JQ681257 (Seg-1), JQ681257 (Seg-2), JQ681258 (Seg-3), JQ681259 (Seg-4), JQ681260 (Seg-5), JQ681261 (Seg-7), JQ6812563 (Seg-8), JQ6812564 (Seg-9), to JQ681262 (Seg-10) [ JQ68126552]
- Virus Serotype 1, sequence accession (Seg-2), AJ585111 (Seg-6), AJ586659 (Seg-1), JQ282770 (Seg-3), JQ282771 (Seg-4), JQ282772 (Seg-5), JQ282773 (Seg-7), JQ282774 (Seg-8), JQ282775 (Seg-9), and JQ282776 (Seg-10) [ JQ28277752]
- Chloroplast genome of Erycina pusilla, sequence accession JF_746994 [53]
- Danio rerio, sequence accession [ JQ43410154]
- Enterococcal Bacteriophage SAP6, sequence accession [ JF73112855]
- Eubenangee virus, sequence accession through JQ070376 [ JQ07038556]
- Fujian/411-like viruses, sequence accession [ CY087969 to CY08856857]
- Hantavirus Variant of Rio Mamoré Virus, Maripa Virus, sequence accession (segment S), JQ611712 (segment M), and JQ611713 (segment L) [ JQ61171458]
- Pata virus, sequence accession through JQ070386 [ JQ07039559]
- Porcine Circovirus 2, sequence accession [ JQ41380860]
- Porcine Reproductive and Respiratory Syndrome Virus, sequence accession [ JQ32627161]
- Streptococcus mutans Phage M102AD, sequence accession [ DQ38616262]
- Tilligery virus, sequence accession through JQ070366 [ JQ07037563]
11.
Kanako Ishihara Natsumi Shimokubo Akie Sakagami Hiroshi Ueno Yasukazu Muramatsu Tsuyoshi Kadosawa Chie Yanagisawa Hideaki Hanaki Chie Nakajima Yasuhiko Suzuki Yutaka Tamura 《Applied and environmental microbiology》2010,76(15):5165-5174
Recently, methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant Staphylococcus pseudintermedius (MRSP) have been increasingly isolated from veterinarians and companion animals. With a view to preventing the spread of MRSA and MRSP, we evaluated the occurrence and molecular characteristics of each in a veterinary college. MRSA and MRSP were isolated from nasal samples from veterinarians, staff members, and veterinary students affiliated with a veterinary hospital. Using stepwise logistic regression, we identified two factors associated with MRSA carriage: (i) contact with an identified animal MRSA case (odds ratio [OR], 6.9; 95% confidence interval [95% CI], 2.2 to 21.6) and (ii) being an employee (OR, 6.2; 95% CI, 2.0 to 19.4). The majority of MRSA isolates obtained from individuals affiliated with the veterinary hospital and dog patients harbored spa type t002 and a type II staphylococcal cassette chromosome mec (SCCmec), similar to the hospital-acquired MRSA isolates in Japan. MRSA isolates harboring spa type t008 and a type IV SCCmec were obtained from one veterinarian on three different sampling occasions and also from dog patients. MRSA carriers can also be a source of MRSA infection in animals. The majority of MRSP isolates (85.2%) carried hybrid SCCmec type II-III, and almost all the remaining MRSP isolates (11.1%) carried SCCmec type V. MRSA and MRSP were also isolated from environmental samples collected from the veterinary hospital (5.1% and 6.4%, respectively). The application of certain disinfection procedures is important for the prevention of nosocomial infection, and MRSA and MRSP infection control strategies should be adopted in veterinary medical practice.Methicillin-resistant Staphylococcus aureus (MRSA) is an important cause of nosocomial infections in human hospitals. The prevalence of hospital-acquired MRSA (HA-MRSA) infection among inpatients in intensive care units (ICUs) continues to increase steadily in Japan. Recently, cases of community-acquired MRSA (CA-MRSA) have been documented in persons without an established risk factor for HA-MRSA infection (14, 32, 36, 49).There has also been an increase in the number of reports of the isolation of MRSA from veterinarians and companion animals (5, 21, 23-26, 28, 31, 34, 38, 44, 50, 51, 53). Values reported for the prevalence of MRSA among veterinary staff include 17.9% in the United Kingdom (21), 10% in Japan (38), 3.9% in Scotland (13), and 3.0% in Denmark (28). Loeffler et al. reported that the prevalence of MRSA among dog patients and healthy dogs owned by veterinary staff members was 8.9% (21). In Japan, an MRSA isolate was detected in only one inpatient dog (3.8%) and could not be detected in any of 31 outpatient dogs (38). In the United States, MRSA isolates were detected in both dog (0.1%) and cat (0.1%) patients (31). The prevalence of MRSA among healthy dogs has been reported to be 0.7% (5). Hanselman et al. suggested that MRSA colonization may be an occupational risk for large-animal veterinarians (12). Recently, Burstiner et al. reported that the frequency of MRSA colonization among companion-animal veterinary personnel was equal to the frequency among large-animal veterinary personnel (6).In addition, other methicillin-resistant coagulase-positive staphylococci (MRCPS), such as methicillin-resistant Staphylococcus pseudintermedius (MRSP) and methicillin-resistant Staphylococcus schleiferi (MRSS), isolated from dogs, cats, and a veterinarian have been reported (11, 31, 38, 40, 52). MRSP isolates have also been detected among inpatient dogs (46.2%) and outpatient dogs (19.4%) in a Japanese veterinary teaching hospital (38). In Canada, however, MRSP and MRSS isolates were detected in only 2.1% and 0.5% of dog patients, respectively (11).Methicillin-resistant staphylococci produce penicillin-binding protein 2′, which reduces their affinity for β-lactam antibiotics. This protein is encoded by the mecA gene (48), which is carried on the staphylococcal cassette chromosome mec (SCCmec). SCCmec is a mobile genetic element characterized by the combination of the mec and ccr complexes (16), and it is classified into subtypes according to differences in the junkyard regions (43). SCCmec typing can be used as a molecular tool (22, 27, 30, 33, 36, 55) for examining the molecular epidemiology of methicillin-resistant staphylococci.In this study, we investigated the occurrence and characteristics of MRCPS isolates in a veterinary hospital in order to establish the transmission route of MRCPS in a veterinary hospital and with a view to preventing the spread of MRCPS infection. In addition, we evaluated the factors associated with MRCPS. Further, as Heller et al. have reported the distribution of MRSA within veterinary hospital environments and suggested the necessity to review cleaning protocols of hospital environments (13), we also attempted to isolate MRCPS from environmental samples collected in a veterinary hospital for an evaluation of MRSA transmission cycle though environmental surfaces in the veterinary hospital. 相似文献
12.
Douglas F. Call Rachel C. Wagner Bruce E. Logan 《Applied and environmental microbiology》2009,75(24):7579-7587
A hydrogen utilizing exoelectrogenic bacterium (Geobacter sulfurreducens) was compared to both a nonhydrogen oxidizer (Geobacter metallireducens) and a mixed consortium in order to compare the hydrogen production rates and hydrogen recoveries of pure and mixed cultures in microbial electrolysis cells (MECs). At an applied voltage of 0.7 V, both G. sulfurreducens and the mixed culture generated similar current densities (ca. 160 A/m3), resulting in hydrogen production rates of ca. 1.9 m3 H2/m3/day, whereas G. metallireducens exhibited lower current densities and production rates of 110 ± 7 A/m3 and 1.3 ± 0.1 m3 H2/m3/day, respectively. Before methane was detected in the mixed-culture MEC, the mixed consortium achieved the highest overall energy recovery (relative to both electricity and substrate energy inputs) of 82% ± 8% compared to G. sulfurreducens (77% ± 2%) and G. metallireducens (78% ± 5%), due to the higher coulombic efficiency of the mixed consortium. At an applied voltage of 0.4 V, methane production increased in the mixed-culture MEC and, as a result, the hydrogen recovery decreased and the overall energy recovery dropped to 38% ± 16% compared to 80% ± 5% for G. sulfurreducens and 76% ± 0% for G. metallireducens. Internal hydrogen recycling was confirmed since the mixed culture generated a stable current density of 31 ± 0 A/m3 when fed hydrogen gas, whereas G. sulfurreducens exhibited a steady decrease in current production. Community analysis suggested that G. sulfurreducens was predominant in the mixed-culture MEC (72% of clones) despite its relative absence in the mixed-culture inoculum obtained from a microbial fuel cell reactor (2% of clones). These results demonstrate that Geobacter species are capable of obtaining similar hydrogen production rates and energy recoveries as mixed cultures in an MEC and that high coulombic efficiencies in mixed culture MECs can be attributed in part to the recycling of hydrogen into current.Electrohydrogenesis is an efficient method for generating hydrogen gas from organic matter in reactors known as microbial electrolysis cells (MECs) (17, 18, 26). MECs differ from air-cathode microbial fuel cells (MFCs) in that the cathode remains anaerobic, and voltage is added in order to generate hydrogen at the cathode. Under the biological conditions in MECs, hydrogen evolution is not a thermodynamically favorable reaction. However, combining the hydrogen formation reaction potential of −0.41 V at the cathode (ECAT) with the anode potential (EAN) typically obtained in MFCs with an EAN of −0.30 V (1 g of acetate/liter) results in a minimum required voltage of only 0.14 V. Applied voltages (EAP) of 0.2 V (0.45 kWh/m3 H2) or larger are needed in practice to produce measurable quantities of hydrogen, but this input is substantially less than the average of 2.3 V (5.1 kWh/m3 H2) required for water electrolysis (13).Recent improvements in designs and materials have substantially improved hydrogen yields, production rates, and energy recoveries (3, 18, 27-29, 33). Hydrogen recoveries using typical dead-end fermentation end products such as acetate and butyrate have reached 80 to 100%, whereas other complex substrates such as glucose and cellulose have yielded recoveries of ca. 70% (5). Production rates larger than 6 m3 H2/m3/day have been obtained using MECs (32), which are similar to an average rate of 2.5 m3 H2/m3/day obtained for hydrogen production by biological fermentation (10). Energy recoveries relative to the electrical energy input as high as 680% have already been shown (5), and overall energy recoveries that include the energy of the substrate have reached 85% (2, 5).Hydrogen losses can occur using a mixed culture in an MEC, reducing hydrogen yields, production rates, and recoveries (3, 11, 16, 32). Hydrogen recoveries can drop significantly at lower applied voltages in membraneless MECs because of methanogenic consumption of hydrogen (2, 8, 11, 34). Using a membraneless MEC, Call and Logan (2) found that the overall hydrogen recovery of 90% at an EAP of 0.6 V was reduced to 18% at an EAP of 0.2 V and that methane concentrations increased from 0.9 to 28% in the product gas. Reducing solution pH can help inhibit methanogens, but a methane concentration of 22% was observed in a membrane free MEC at pH 5.8 (11). When hydrogen is the intended product of an MEC, methane production is detrimental to the process. However, biologically produced methane is a renewable energy source, and membraneless MECs can be used to generate methane instead of hydrogen, although energy recoveries are lower (8). Hydrogen can also be consumed by chemolithotrophic bacteria in mixed-culture MECs. These bacteria may transfer the associated electrons to a suitable electron acceptor, such as carbon dioxide, and in some cases, the anode. In the latter scenario, the electrons from hydrogen would be recycled internally, causing an increase in coulombic efficiency (16). Hydrogen losses reduce hydrogen and energy recoveries, and alternative methods for generating methane-free and high hydrogen content gas are needed.Pure culture MECs are one method to avoid losses to methanogens, but production rates and efficiencies with pure cultures can be low compared to those with mixed cultures. Using a pure culture of Shewanella oneidensis MR-1 and lactate, Hu et al. obtained a hydrogen production rate of 0.025 m3 H2/m3/day at an EAP of 0.6 V (11). However, production rates at this same applied voltage using mixed cultures have reached 1 to 2 m3 H2/m3/day (2, 5). In MFCs, S. oneidensis has produced low coulombic efficiencies (<10%) (24, 25) and maximum current densities of ca. 50 mA/m2 (15) with lactate, compared to ca. 9,900 mA/m2 (9) for mixed cultures.Several Geobacter species are commonly found in mixed culture MFCs, and tests with pure cultures of Geobacter sulfurreducens have demonstrated power and current densities close to or equal to those achieved with mixed cultures. In an air cathode MFC, G. sulfurreducens produced a lower power density (461 mW/m2, 1.5 A/m2) than a mixed culture (576 mW/m2, 1.3 A/m2) (12). The reduced performance of G. sulfurreducens in the air cathode MFC may have been due to oxygen intrusion across the cathode. Using an MFC with a ferricyanide cathode, Nevin et al. (23) reported a power density of 1.9 W/m2 (4.6 A/m2) for G. sulfurreducens compared to 1.6 W/m2 (3.2 A/m2) for a mixed consortium. When the authors placed the G. sulfurreducens MFC in an anaerobic chamber, the coulombic efficiency improved from 55% to ca. 100%, confirming the importance of strictly anaerobic conditions for G. sulfurreducens. This suggests that the anaerobic environment of MECs may provide excellent conditions for obtaining current densities comparable to those of mixed cultures with pure cultures of Geobacter species, while at the same time eliminating methane gas production.In order to investigate the performance of Geobacter species in MECs, we selected two Geobacter species based on their differences in hydrogen utilization. G. sulfurreducens was selected because it is capable of producing high current densities in MFCs, and it can utilize hydrogen. G. metallireducens, which does not oxidize hydrogen, was examined to determine whether higher hydrogen recoveries were possible with a bacterium that cannot oxidize hydrogen. Both of these cultures were compared to a mixed culture under identical conditions in order to further examine the role of internal hydrogen recycling in MECs and to show that methane-free gas can be produced in MECs at rates comparable to those obtained with mixed cultures. 相似文献
13.
14.
To cause disease, Clostridium difficile spores must germinate in the host gastrointestinal tract. Germination is initiated upon exposure to glycine and certain bile acids, e.g., taurocholate. Chenodeoxycholate, another bile acid, inhibits taurocholate-mediated germination. By applying Michaelis-Menten kinetic analysis to C. difficile spore germination, we found that chenodeoxycholate is a competitive inhibitor of taurocholate-mediated germination and appears to interact with the spores with greater apparent affinity than does taurocholate. We also report that several analogs of chenodeoxycholate are even more effective inhibitors. Some of these compounds resist 7α-dehydroxylation by Clostridium scindens, a core member of the normal human colonic microbiota, suggesting that they are more stable than chenodeoxycholate in the colonic environment.Clostridium difficile is a Gram-positive, spore-forming, anaerobic bacterium that is pathogenic for both humans and animals (33, 44). Infections caused by C. difficile range from mild diarrhea to more life-threatening conditions, such as pseudomembranous colitis (33). In the classic case, prior antibiotic treatment that disrupts the normally protective colonic flora makes patients susceptible to C. difficile infection (CDI) (35, 53). Other antibiotics, such as vancomycin and metronidazole, are the most commonly used treatments for CDI (54). However, because these antibiotics also disrupt the colonic flora, 10 to 40% of patients whose symptoms have been ameliorated suffer from relapsing CDI (15, 24). The annual treatment-associated cost for CDI in the United States is estimated to be between $750 million and $3.2 billion (8, 9, 16, 31). Moreover, the number of fatal cases of CDI has been increasing rapidly (14, 39). Thus, there is an urgent need to find alternative therapies for CDI.C. difficile infection likely is initiated by infection with the spore form of C. difficile (12). C. difficile elicits disease through the actions of two secreted toxins, TcdA and TcdB (48). TcdB was recently shown to be critical for pathogenesis in an animal model of disease (18). Since the toxins are produced by vegetative cells, not by spores (17), germination and outgrowth are prerequisites for pathogenesis.Spore germination is triggered by the interaction of small molecules, called germinants, with receptors within the spore inner membrane. These germinants vary by bacterial species and can include ions, amino acids, sugars, nucleotides, surfactants, or combinations thereof (43). The recognition of germinants triggers irreversible germination, leading to Ca2+-dipicolinic acid release, the uptake of water, the degradation of the cortex, and, eventually, the outgrowth of the vegetative bacterium (43). The germination receptors that C. difficile uses to sense the environment have not been identified. Based on homology searches, C. difficile germination receptors must be very different from known germination receptors (42), but they appear to be proteinaceous (13).Taurocholate, a primary bile acid, has been used for approximately 30 years by researchers and clinical microbiologists to increase colony formation by C. difficile spores from patient and environmental samples (3, 49, 51, 52). This suggested that C. difficile spores interact with bile acids along the gastrointestinal (GI) tract and that spores use a host-derived signal to initiate germination.The liver synthesizes the two major primary bile acids, cholate and chenodeoxycholate (40). These compounds are modified by conjugation with either taurine (to give taurocholate or taurochenodeoxycholate) or glycine (producing glycocholate or glycochenodeoxycholate). Upon secretion into the digestive tract, bile aids in the absorption of fat and cholesterol; much of the secreted bile is actively absorbed and recycled back to the liver for reutilization (40). Though efficient, enterohepatic recirculation is not complete; bile enters the cecum of the large intestine at a concentration of approximately 2 mM (30).In the cecum, bile is modified by the normal, benign colonic flora. First, bile salt hydrolases found on the surfaces of many bacterial species remove the conjugated amino acid, producing the deconjugated primary bile acids cholate and chenodeoxycholate (40). These deconjugated primary bile acids are further metabolized by only a few species of intestinal bacteria, including Clostridium scindens. C. scindens actively transports unconjugated primary bile acids into the cytoplasm, where they are 7α-dehydroxylated, converting cholate to deoxycholate and chenodeoxycholate to lithocholate (21, 40). The disruption of the colonic flora by antibiotic treatment abolishes 7α-dehydroxylation activity (41).Building upon the work on Wilson and others (51, 52), we demonstrated that taurocholate and glycine, acting together, trigger the loss of the birefringence of C. difficile spores (45). All cholate derivatives (taurocholate, glycocholate, cholate, and deoxycholate) stimulate the germination of C. difficile spores (45). Recently it was shown that taurocholate binding is prerequisite to glycine binding (37). At physiologically relevant concentrations, chenodeoxycholate inhibits taurocholate-mediated germination (46) and also inhibits C. difficile vegetative growth, as does deoxycholate (45). In fact, C. difficile spores use the relative concentrations of the various bile acids as cues for germination within the host (10).Since chenodeoxycholate is absorbed by the colonic epithelium and metabolized to lithocholate by the colonic flora (25, 40), the use of chenodeoxycholate as a therapy against C. difficile disease might be hindered by its absorption and conversion to lithocholate.Here, we further characterize the interaction of C. difficile spores with various bile acids and demonstrate that chenodeoxycholate is a competitive inhibitor of taurocholate-mediated germination. Further, we identify chemical analogs of chenodeoxycholate that are more potent inhibitors of germination and that resist 7α-dehydroxylation by the colonic flora, potentially increasing their stability and effectiveness as inhibitors of C. difficile spore germination in the colonic environment. 相似文献
15.
Gemma Henderson Graham E. Naylor Sinead C. Leahy Peter H. Janssen 《Applied and environmental microbiology》2010,76(7):2058-2066
Homoacetogens produce acetate from H2 and CO2 via the Wood-Ljungdahl pathway. Some homoacetogens have been isolated from the rumen, but these organisms are expected to be only part of the full diversity present. To survey the presence of rumen homoacetogens, we analyzed sequences of formyltetrahydrofolate synthetase (FTHFS), a key enzyme of the Wood-Ljungdahl pathway. A total of 275 partial sequences of genes encoding FTHFS were PCR amplified from rumen contents of a cow, two sheep, and a deer. Phylogenetic trees were constructed using these FTHFS gene sequences and the translated amino acid sequences, together with other sequences from public databases and from novel nonhomoacetogenic bacteria isolated from the rumen. Over 90% of the FTHFS sequences fell into 34 clusters defined with good bootstrap support. Few rumen-derived FTHFS sequences clustered with sequences of known homoacetogens. Conserved residues were identified in the deduced FTHFS amino acid sequences from known homoacetogens, and their presence in the other sequences was used to determine a “homoacetogen similarity” (HS) score. A homoacetogen FTHFS profile hidden Markov model (HoF-HMM) was used to assess the homology of rumen and homoacetogen FTHFS sequences. Many clusters had low HS scores and HoF-HMM matches, raising doubts about whether the sequences originated from homoacetogens. In keeping with these findings, FTHFS sequences from nonhomoacetogenic bacterial isolates grouped in these clusters with low scores. However, sequences that formed 10 clusters containing no known isolates but representing 15% of our FTHFS sequences from rumen samples had high HS scores and HoF-HMM matches and so could represent novel homoacetogens.Feed ingested by ruminant animals is fermented in the rumen by a complex community of microbes. This community produces, among other products, the volatile fatty acids acetate, propionate, and butyrate, which are absorbed across the rumen wall and satisfy a large part of the animals'' carbon and energy requirements. Hydrogen gas (H2) is also formed and is the major precursor of the methane (CH4) formed in ruminant animals. This ruminant-derived CH4 is a contributor to global greenhouse gas emissions (46) and also represents an energy loss for the animals (34). Proposed ruminant greenhouse gas mitigation strategies include using feeds that produce less CH4 and more volatile fatty acids (31). Alternative strategies include interventions that slow or halt methanogenesis by vaccination, using natural inhibitors found in plants, and supplementing feed with fats and oils or small-molecule inhibitors (31, 32). In the absence of methanogenesis, accumulation of H2 could lead to a decrease in the rate of feed fermentation (31, 53) and hence a decrease in animal productivity. Other microbes that use H2 without producing methane could be valuable in conjunction with intervention strategies that inhibit methanogens. This possibility has sparked interest in possible inoculation of ruminants with alternative H2 users.Bacteria that use the Wood-Ljungdahl pathway to produce acetate from CO2 are metabolically (6) and phylogenetically (48) diverse and are designated “homoacetogens.” Homoacetogens grow with H2 or other suitable electron donors, such as formate or sugars, plus CO2 as a terminal electron acceptor, heterotrophically with organic substrates such as sugars and methoxylated compounds, or mixotrophically with, e.g., H2 and organic substrates. Homoacetogens have been reported to occur in a normally functioning rumen, but they are unlikely to compete with methanogens for H2 (24, 25, 34). However, homoacetogens could play an important role in the disposal of H2 if methanogens are not established in or are eliminated from the rumen (11, 17). At present, it is not clear whether resident rumen homoacetogens could fulfill the H2 disposal role or whether homoacetogens would have to be added to the rumen to take over this role from the methanogens.Cultivation-based enumeration techniques have shown that the sizes of rumen acetogen populations range from undetectable to 1.2 × 109 per g of rumen contents and that the prevalence of these acetogens depends on diet, animal age, and time of sampling (5, 7, 23, 24). Several homoacetogens, including Acetitomaculum ruminis (15), Eubacterium limosum (14, 17), Blautia schinkii, and Blautia producta (11), have been isolated from ruminants. Homoacetogens have also been isolated from the kangaroo forestomach, whose function is analogous to that of the rumen, which suggests that homoacetogenesis may play a role in hydrogen removal in the low-methane-emission forestomach (37).Because homoacetogens occur in different lineages of bacteria (48), traditional 16S rRNA gene-based surveys provide little information on their prevalence. The formyltetrahydrofolate synthetase (FTHFS) gene (fhs) has been used as a functional marker for homoacetogens, as the enzyme that it encodes catalyzes a key step in the reductive acetogenesis pathway (26). The structure of the enzyme of the homoacetogen Moorella thermoacetica has been reported, and putative functional features have been identified (27, 41, 42). FTHFS sequences from true homoacetogens differ from their homologs in sulfate-reducing bacteria and in other bacteria that degrade purines and amino acids via the glycine synthase-glycine reductase pathway (12, 21, 22, 26). At present, only a limited number of FTHFS sequences have been deposited in databases, and the vast majority of them are partial sequences retrieved from complex microbial communities. FTHFS sequences have been surveyed in sludge (39, 43, 54), termites (40, 44), salt marsh plant roots (21), horse manure (22), cow manure, freshwater sediment, rice field soil, and sewage (54), but so far only one study has investigated bovine ruminal FTHFS sequences (30). The rumen FTHFS sequences had low levels of similarity to the FTHFS sequences of known homoacetogens and could be sequences of novel homoacetogens. To our knowledge, no bacteria with these unique FTHFS sequences have been identified.The aims of this study were to assess the diversity of FTHFS gene sequences retrieved from rumen samples and to screen novel rumen isolates for the presence of FTHFS genes and test their ability to grow as homoacetogens. We used alignments of FTHFS sequences to define a homoacetogen similarity score based on the presence of diagnostic amino acids and developed a hidden Markov model to assess the likelihood that FTHFS sequences of unknown origin are sequences from true homoacetogens that are able to use H2 or alternative electron donors for reductive acetogenesis. 相似文献
16.
16S rRNA gene libraries from the lithoautotrophic Fe(II)-oxidizing, nitrate-reducing enrichment culture described by Straub et al. (K. L. Straub, M. Benz, B. Schink, and F. Widdel, Appl. Environ. Microbiol. 62:1458-1460, 1996) were dominated by a phylotype related (95% 16S rRNA gene homology) to the autotrophic Fe(II) oxidizer Sideroxydans lithotrophicus. The libraries also contained phylotypes related to known heterotrophic nitrate reducers Comamonas badia, Parvibaculum lavamentivorans, and Rhodanobacter thiooxidans. The three heterotrophs were isolated and found to be capable of only partial (12 to 24%) Fe(II) oxidation, suggesting that the Sideroxydans species has primary responsibility for Fe(II) oxidation in the enrichment culture.A variety of microorganisms oxidize Fe(II) with nitrate under anaerobic, circumneutral pH conditions (29) and may contribute to an active microbially driven anoxic Fe redox cycle (1, 27-29, 31, 32). Straub et al. (28) obtained the first Fe(II)-oxidizing, nitrate-reducing (enrichment) culture capable of fully autotrophic growth by a reaction such as 5Fe2+ + NO3− + 12H2O → 5Fe(OH)3 + 0.5N2 + 9H+. This process has since been demonstrated in detail with the hyperthermophilic archaeon Ferroglobus placidus (9) and with the mesophilic Proteobacteria Chromobacterium violacens strain 2002 (34) and Paracoccus ferrooxidans strain BDN-1 (16). Nitrate-dependent Fe(II) oxidation in the presence of fixed carbon has been documented for Dechlorosoma suillum strain PS (4), Geobacter metallireducens (7), Desulfitobacterium frappieri (23), and Acidovorax strain BoFeN1 (15). In addition to oxidizing insoluble Fe(II)-bearing minerals (33), the enrichment culture described by Straub et al. (28) is the only autotrophic Fe(II)-oxidizing, nitrate-reducing culture capable of near-complete oxidation of uncomplexed Fe(II) with reduction of nitrate to N2. During Fe(II) oxidation, F. placidus reduces nitrate to nitrite, which may play a significant role in overall Fe(II) oxidation. Although both C. violacens and Paracoccus ferrooxidans reduce nitrate to N2, C. violacens oxidizes only 20 to 30% of the initial Fe(II), and P. ferrooxidans uses FeEDTA2− but not free (uncomplexed) Fe(II) in medium analogous to that used for cultivation of the enrichment culture described by Straub et al. (28). The enrichment culture described by Straub et al. (28) is thus the most robust culture capable of autotrophic growth coupled to nitrate-dependent Fe(II) oxidation available at present. The composition and activity of this culture was investigated with molecular and cultivation techniques. The culture examined is one provided by K. L. Straub to E. E. Roden in 1998 for use in studies of nitrate-dependent oxidation of solid-phase Fe(II) compounds (33) and has been maintained in our laboratory since that time. 相似文献
17.
Anna Steinle Sabrina Witthoff Jens P. Krause Alexander Steinbüchel 《Applied and environmental microbiology》2010,76(4):1062-1070
Two strains of the methylotrophic yeast Pichia pastoris were used to establish cyanophycin (multi-l-arginyl-poly-l-aspartic acid [CGP]) synthesis and to explore the applicability of this industrially widely used microorganism for the production of this polyamide. Therefore, the CGP synthetase gene from the cyanobacterium Synechocystis sp. strain PCC 6308 (cphA6308) was expressed under the control of the alcohol oxidase 1 promoter, yielding CGP contents of up to 10.4% (wt/wt), with the main fraction consisting of the soluble form of the polymer. To increase the polymer contents and to obtain further insights into the structural or catalytic properties of the enzyme, site-directed mutagenesis was applied to cphA6308 and the mutated gene products were analyzed after expression in P. pastoris and Escherichia coli, respectively. CphA6308Δ1, which was truncated by one amino acid at the C terminus; point mutated CphA6308C595S; and the combined double-mutant CphA6308Δ1C595S protein were purified. They exhibited up to 2.5-fold higher enzyme activities of 4.95 U/mg, 3.20 U/mg, and 4.17 U/mg, respectively, than wild-type CphA6308 (2.01 U/mg). On the other hand, CphA proteins truncated by two (CphA6308Δ2) or three (CphA6308Δ3) amino acids at the C terminus showed similar or reduced CphA enzyme activity in comparison to CphA6308. In flask experiments, a maximum of 14.3% (wt/wt) CGP was detected after the expression of CphA6308Δ1 in P. pastoris. For stabilization of the expression plasmid, the his4 gene from Saccharomyces cerevisiae was cloned into the expression vector used and the constructs were transferred to histidine auxotrophic P. pastoris strain GS115. Parallel fermentations at a one-to-one scale revealed 26°C and 6.0 as the optimal temperature and pH, respectively, for CGP synthesis. After optimization of fermentation parameters, medium composition, and the length of the cultivation period, CGP contents could be increased from 3.2 to 13.0% (wt/wt) in cells of P. pastoris GS115 expressing CphA6308 and up to even 23.3% (wt/wt) in cells of P. pastoris GS115 expressing CphA6308Δ1.Since the first isolation of a methylotrophic yeast, Kloeckera sp. strain 2201, in 1969 (43), the two methylotrophic yeasts Pichia pastoris and Hansenula polymorpha have become the most popular methylotrophs in industry and academia (9, 23, 24). The main benefits of these organisms for the production of recombinant proteins are their growth to cell densities as high as 130 g cell dry matter per liter (50, 57) and the availability of strong and tightly regulated promoters that result in a high product yield (13). Viral hepatitis B surface antigen, S. cerevisiae mating factor α, and S. cerevisiae invertase are only a few examples of compounds produced by recombinant P. pastoris (reviewed in reference 9).A variety of strains were optimized for the expression of recombinant proteins (9). Protease-deficient strains such as strain KM71(H) were generated to circumvent the proteolytic degradation of recombinant proteins (17). Three different phenotypes exist that differ in the ability to utilize methanol (reviewed in reference 37). (i) Mut+ strains grow on methanol as the sole carbon and energy source at the wild-type rate. (ii) Muts strains possess a disrupted alcohol oxidase 1 (AOX1) gene and therefore rely on the weaker AOX2 gene, leading to decreased methanol utilization rates in comparison to those exhibited by Mut+ strains. (iii) Mut− strains are not able to utilize methanol as a carbon and energy source; consequently, such strains use the compound as an inducer only and are dependent on the concomitant addition of carbon sources that do not repress the AOX1 promoter (30, 31). Depending on the required product, any of these phenotypes can be optimal (37). The AOX1 promoter is totally repressed during growth on, e.g., glycerol, whereas it is strongly expressed after methanol is supplied (11). Therefore, P. pastoris fermentations are divided into two phases. (i) During growth on glycerol, high cell densities are reached; (ii) subsequent growth on methanol leads to induction of heterologous protein synthesis, resulting in a high product yield (14). Besides glycerol, several other carbon sources, such as, e.g., glucose, acetate, ethanol, or sorbitol, were used for the production of foreign proteins (30, 31). Several fermentation strategies that allow optimal cell and product yields have been established (8, 25, 28).Besides the AOX1 promoter, several other suitable promoters are available (10), e.g., the copper-inducible CUP1 promoter from S. cerevisiae (33, 38), the inducible ICL1 promoter from the isocitrate lyase gene (8), or the constitutive GAP promoter from glyceraldehydes-3-phosphate dehydrogenase (56).Synthesis of cyanophycin (multi-l-arginyl-poly-l-aspartic acid [CGP]) was only recently established in the yeast S. cerevisiae. Recombinant strains harboring cphA from Synechocystis sp. strain PCC 6308 but otherwise with a wild-type background accumulated CGP up to 6.9% (wt/wt) (52), whereas recombinant strains with a mutation in arginine metabolism accumulated CGP even up to 15.3% (wt/wt) of the cell dry mass (CDM) (54). All of the strains synthesized the polymer in soluble and insoluble forms, which was also observed in transgenic plants (29, 42); the soluble type of CGP was first observed in Escherichia coli expressing the cphA gene from Desulfitobacterium hafniense (59). Several cyanobacterial and heterotrophic CGP synthetase genes were expressed heterologously in the past (16, 26, 29, 52, 59). To unravel structurally or catalytically relevant residues of the enzyme, a few site-directed mutations were generated in cyanobacterial cphA genes (26, 27, 35, 53). In addition, several variations in the amino acid composition of the polymer were recently obtained; while cyanobacterial CGP or CGP synthesized by specific CphA proteins exhibiting a narrow substrate range contained aspartate and arginine only (18, 51); lysine was observed as a component replacing arginine at up to 18 mol% in recombinant strains of E. coli and S. cerevisiae harboring CphA with a broader substrate range (34, 54). Moreover, citrulline and ornithine were also detected as constituents replacing arginine in mutants of S. cerevisiae expressing CphA from Synechocystis sp. strain PCC 6308 (54). The soluble CGP contained up to 20 mol% citrulline or up to 8 mol% ornithine instead of arginine. The latter enzyme also revealed a wide substrate range in vitro comprising agmatine and canavanine besides arginine, lysine, citrulline, and ornithine (2, 58).A multitude of technical or pharmaceutical applications are known for degradation products of CGP (44, 48, 49). Dipeptides obtained after α cleavage of the polymer by cyanophycinases are employed as high-value pharmaceuticals (45, 46). Through β cleavage of the polymer, polyaspartic acid can be obtained, which serves as a biodegradable alternative to the persistent polyacrylic acid (9). Finally, research on the synthesis of bulk chemicals such as urea or acrylonitrile from CGP has become of special interest (40, 48, 49).In this study, the methylotrophic yeast P. pastoris was, for the first time, employed for synthesis of the polyamide CGP to analyze if this organism provides a perspective for the production of the polymer. For further optimization of polymer yields, mutated CphA proteins were generated by site-directed mutagenesis and characterized and optimal growth parameters were determined in parallel fermentations. 相似文献
18.
Trevor D. Lawley Nicholas J. Croucher Lu Yu Simon Clare Mohammed Sebaihia David Goulding Derek J. Pickard Julian Parkhill Jyoti Choudhary Gordon Dougan 《Journal of bacteriology》2009,191(17):5377-5386
Clostridium difficile, a major cause of antibiotic-associated diarrhea, produces highly resistant spores that contaminate hospital environments and facilitate efficient disease transmission. We purified C. difficile spores using a novel method and show that they exhibit significant resistance to harsh physical or chemical treatments and are also highly infectious, with <7 environmental spores per cm2 reproducibly establishing a persistent infection in exposed mice. Mass spectrometric analysis identified ∼336 spore-associated polypeptides, with a significant proportion linked to translation, sporulation/germination, and protein stabilization/degradation. In addition, proteins from several distinct metabolic pathways associated with energy production were identified. Comparison of the C. difficile spore proteome to those of other clostridial species defined 88 proteins as the clostridial spore “core” and 29 proteins as C. difficile spore specific, including proteins that could contribute to spore-host interactions. Thus, our results provide the first molecular definition of C. difficile spores, opening up new opportunities for the development of diagnostic and therapeutic approaches.Clostridium difficile is a gram-positive, spore-forming, anaerobic bacterium that can asymptomatically colonize the intestinal tracts of humans and other mammals (3, 30, 39). Antibiotic treatment can result in C. difficile overgrowth and can lead to clinical disease, ranging from diarrhea to life-threatening pseudomembranous colitis, particularly in immunocompromised hosts (2, 4, 7). In recent years, C. difficile has emerged as the major cause of nosocomial antibiotic-induced diarrhea, and it is frequently associated with outbreaks (21, 22). A contributing factor is that C. difficile can be highly infectious and difficult to contain, especially when susceptible patients are present in the same hospital setting (13).Person-to-person transmission of C. difficile is associated with the excretion of highly resistant spores in the feces of infected patients, creating an environmental reservoir that can confound many infection control measures (29, 44). Bacterial spores, which are metabolically dormant cells that are formed following asymmetric cell division, normally have thick concentric external layers, the spore coat and cortex, that protect the internal cytoplasm (15, 42). Upon germination, spores lose their protective external layers and resume vegetative growth (24, 27, 36). Bacillus spores and the spores of most Clostridium species germinate in response to amino acids, carbohydrates, or potassium ions (24, 36). In contrast, C. difficile spores show an increased level of germination in response to cholate derivatives found in bile (40, 41). Thus, spores are well adapted for survival and dispersal under a wide range of environmental conditions but will germinate in the presence of specific molecular signals (24, 36).While the spores of a number of Bacillus species, such as Bacillus subtilis and Bacillus anthracis, and those of other Clostridium species, such as Clostridium perfringens (15, 20), have been well characterized, research on C. difficile spores has been relatively limited. A greater understanding of C. difficile spore biology could be exploited to rationalize disinfection regimes, molecular diagnostics, and the development of targeted treatments such as vaccines. Here we describe a novel method to isolate highly purified C. difficile spores that maintain their resistance and infectious characteristics, thus providing a unique opportunity to study C. difficile spores in the absence of vegetative cells. A thorough proteomic and genomic analysis of the spore provides novel insight into the unique composition and predictive biological properties of C. difficile spores that should underpin future research into this high-profile but poorly understood pathogen. 相似文献