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1.
Mouse models are widely used for studying gastrointestinal (GI) tract-related diseases. It is necessary and important to develop a new set of primers to monitor the mouse gut microbiota. In this study, 16S rRNA gene-targeted group-specific primers for Firmicutes, Actinobacteria, Bacteroidetes, Deferribacteres, “Candidatus Saccharibacteria,” Verrucomicrobia, Tenericutes, and Proteobacteria were designed and validated for quantification of the predominant bacterial species in mouse feces by real-time PCR. After confirmation of their accuracy and specificity by high-throughput sequencing technologies, these primers were applied to quantify the changes in the fecal samples from a trinitrobenzene sulfonic acid-induced colitis mouse model. Our results showed that this approach efficiently predicted the occurrence of colitis, such as spontaneous chronic inflammatory bowel disease in transgenic mice. The set of primers developed in this study provides a simple and affordable method to monitor changes in the intestinal microbiota at the phylum level.  相似文献   

2.
Abstract The species composition of ammonia-oxidizing bacteria in aquatic environments was investigated using PCR primers for 16S rRNA genes to amplify specific subsets of the total ammonia-oxidizer population. The specificity of the amplification reactions was determined using total genomic DNA from known nitrifying strains and non-nitrifying strains identified as having similar rDNA sequences. Specificity of amplification was determined both for direct amplification, using the nitrifier specific primers, and with nested amplification, in which the nitrifier primers were used to reamplify a fragment obtained from direct amplification with Eubacterial universal primers. The present level of specificity allows the distinction between Nitrosomonas europaea, Nitrosomonas sp. (marine) and the other known ammonia-oxidizers in the beta subclass of the Proteobacteria. Using total DNA extracted from natural samples, we used direct amplification to determine presence/absence of different species groups. Species composition was found to differ among depths in vertical profiles of lake samples and among samples and enrichments from various other aquatic environments. Nested PCR yielded several more positive reactions, which implies that nitrifier DNA was present in most samples, but often at very low levels. Received: 25 September 1995; Revised: 15 January 1996; Accepted: 20 February 1996  相似文献   

3.
16S rRNA gene-targeted group-specific primers were designed and validated for specific detection and quantification of the Clostridium leptum subgroup and the Atopobium cluster. To monitor the predominant bacteria in human feces by real-time PCR, we used these specific primers together with four sets of group-specific primers for the Clostridium coccoides group, the Bacteroides fragilis group, Bifidobacterium, and Prevotella developed in a previous study (T. Matsuki, K. Watanabe, J. Fujimoto, Y. Miyamoto, T. Takada, K. Matsumoto, H. Oyaizu, and R. Tanaka, Appl. Environ. Microbiol. 68:5445-5451, 2002). Examination of DNA extracted from the feces of 46 healthy adults showed that the C. coccoides group was present in the greatest numbers (log10 10.3 ± 0.3 cells per g [wet weight] [average ± standard deviation]), followed by the C. leptum subgroup (log10 9.9 ± 0.7 cells per g [wet weight]), the B. fragilis group (log10 9.9 ± 0.3 cells per g [wet weight]), Bifidobacterium (log10 9.4 ± 0.7 cells per g [wet weight]), and the Atopobium cluster (log10 9.3 ± 0.7 cells per g [wet weight]). These five bacterial groups were detected in all 46 volunteers. Prevotella was found in only 46% of the subjects at a level of log10 9.7 ± 0.8 cells per g (wet weight). Examination of changes in the population and the composition of the intestinal flora for six healthy adults over an 8-month period revealed that the composition of the flora of each volunteer remained stable throughout the test period.  相似文献   

4.
Amplification of a particular DNA fragment from a mixture of organisms by PCR is a common first step in methods of examining microbial community structure. The use of group-specific primers in community DNA profiling applications can provide enhanced sensitivity and phylogenetic detail compared to domain-specific primers. Other uses for group-specific primers include quantitative PCR and library screening. The purpose of the present study was to develop several primer sets targeting commonly occurring and important groups. Primers specific for the 16S ribosomal sequences of Alphaproteobacteria, Betaproteobacteria, Bacilli, Actinobacteria, and Planctomycetes and for parts of both the 18S ribosomal sequence and the internal transcribed spacer region of Basidiomycota were examined. Primers were tested by comparison to sequences in the ARB 2003 database, and chosen primers were further tested by cloning and sequencing from soil community DNA. Eighty-five to 100% of the sequences obtained from clone libraries were found to be placed with the groups intended as targets, demonstrating the specificity of the primers under field conditions. It will be important to reevaluate primers over time because of the continual growth of sequence databases and revision of microbial taxonomy.  相似文献   

5.
Denaturing gradient gel electrophoresis (DGGE) of DNA fragments generated by PCR with 16S ribosomal DNA-targeted group-specific primers was used to detect lactic acid bacteria (LAB) of the genera Lactobacillus, Pediococcus, Leuconostoc, and Weissella in human feces. Analysis of fecal samples of four subjects revealed individual profiles of DNA fragments originating not only from species that have been described as intestinal inhabitants but also from characteristically food-associated bacteria such as Lactobacillus sakei, Lactobacillus curvatus, Leuconostoc mesenteroides, and Pediococcus pentosaceus. Comparison of PCR-DGGE results with those of bacteriological culture showed that the food-associated species could not be cultured from the fecal samples by plating on Rogosa agar. On the other hand, all of the LAB species cultured from feces were detected in the DGGE profile. We also detected changes in the types of LAB present in human feces during consumption of a milk product containing the probiotic strain Lactobacillus rhamnosus DR20. The analysis of fecal samples from two subjects taken before, during, and after administration of the probiotic revealed that L. rhamnosus was detectable by PCR-DGGE during the test period in the feces of both subjects, whereas it was detectable by culture in only one of the subjects.  相似文献   

6.
The abundance and diversity of archaeal ammonia monooxygenase subunit A (amoA) genes from hydrothermal vent chimneys at the Juan de Fuca Ridge were investigated. The majority of the retrieved archaeal amoA sequences exhibited identities of less than 95% to those in the GenBank database. Novel ammonia-oxidizing archaea may exist in the hydrothermal vent environments.Ammonia-oxidizing archaea (AOA) may play important roles in carbon and nitrogen cycles in various temperate environments (5, 7, 10, 12, 16). The frequent detection (23, 24) and successful enrichment (2, 6) of thermophilic AOA from terrestrial hot springs suggested a wide distribution of thermophilic AOA in geothermal environments. High concentrations of NH4+ (1, 9, 11) and high rates of ammonia oxidation (9, 22) have been observed at the Juan de Fuca Ridge. However, the presence of AOA in this deep-sea hydrothermal system has not been reported. Here, the abundance and diversity of AOA in three hydrothermal vent chimneys in the Endeavor segment of the Juan de Fuca Ridge were investigated by targeting the conserved amoA genes. This is also the first report on AOA from deep-sea hydrothermal vent chimneys.These vent chimneys were sulfide structures obtained in the fall of 2005 using the submersible Alvin on board the research vessel Atlantis (dive numbers 4143, 4136, and 4148). Chimney 4148 was an active black smoker venting at around 310°C in the Main Endeavor field (47°56.876′N, 129°5.915′W; depth, 2,192 m). Chimney 4143-1 was an active black smoker venting at 316°C in the Mothra field (47°55.424′N, 129°6.533′W; depth, 2,267 m). The outer layers (samples 4148-1A and 4143-1A) of these chimneys were used in this study. The sample from chimney 4136-1 was from a diffusive field (Clambed field) (47°57.909′N, 129°5.443′W; depth, 2,200 m), where the in situ temperature was measured as 29.2°C. The chimney samples were stored at −20°C on board, transported to the home laboratory on dry ice, and stored at −80°C until analyses were performed.Chimney samples were frozen in liquid nitrogen and milled upon thawing. This procedure was repeated three times to break down the solid sample into small particles, which were then mixed with DNA extraction buffer for DNA isolation as described before (25). The obtained crude DNA was purified by an E-Z N.A. Cycle-Pure kit (Omega Bio-Tek Inc., Norcross, GA). PCR amplifications for the archaeal 16S rRNA gene, the crenarchaeal marine group I (MGI) 16S rRNA gene, the archaeal amoA gene, and the bacterial amoA gene followed procedures previously described (Table (Table1)1) (3, 5, 10, 14). Quantitative PCR (Q-PCR) was performed using a model 7500 real-time system (Applied Biosystems, United Kingdom) and a 20-μl reaction mixture that consisted of 1 μl (1 to 10 ng) of DNA as the template, a 0.15 μM concentration of each primer, and 10 μl of Power SYBR green PCR master mix (Applied Biosystems, United Kingdom) with ROX and SYBR green I. The inserted PCR fragments of clones 4143-1A-71 (from the amoA gene library) and 4136-1-4 (from the archaeal 16S rRNA gene library) were amplified and purified to generate standard DNAs for amoA or archaeal 16S rRNA gene quantification. A serial dilution of standard DNAs was performed to generate calibration curves for sample quantification. A melting curve analysis was performed after amplification, and the cycle threshold was set automatically using system 7500 software, version 1.3.

TABLE 1.

PCR primers and procedures used in this study
Target genePrimerSequence (5′→3′)PCR cycle conditionsReference
Archaeal amoAArch-amoAFSTAATGGTCTGGCTTAGACG5 min at 95°C; 30 cycles consisting of 45 s at 94°C, 1 min at 53°C, and 1 min at 72°C; 15 min at 72°CFrancis et al., 2005 (5)
Arch-amoARGCGGCCATCCATCTGTATGT
Archaeal 16S rRNA21FTTCCGGTTGATCCYGCCRG5 min at 95°C; 30 cycles consisting of 30 s at 94°C, 1 min at 54°C, and 1 min at 72°C; 10 min at 72°CDeLong, 1992 (3)
958RYCCGGCGTTGAMTCCAATT
Archaeal 16S rRNA (for Q-PCR)344FACGGGGCGCAGCAGGCGCGA10 min at 50°C, 2 min at 95°C; 40 cycles consisting of 15 s at 95°C and 1 min at 60°C; 15 s at 95°C, 1 min at 60°C, and 15 s at 95°C to make the melting curveØvreås et al., 1998 (15)
518RATTACCGCGGCTGCTGG
Archaeal amoA (for Q-PCR)amo196FGGWGTKCCRGGRACWGCMAC10 min at 50°C and 2 min at 95°C; 40 cycles consisting of 15 s at 95°C and 1 min at 60°C; 15 s at 95°C, 1 min at 60°C, and 15 s at 95°C to make the melting curveTreusch et al., 2005 (20)
amo277RCRATGAAGTCRTAHGGRTADCC
Bacterial amoAAmoA-1FGGGGTTTCTACTGGTGGT5 min at 95°C; 30 cycles consisting of 30 s at 94°C, 45 s at 54°C-50°C, and 45 s at 72°C; 10 min at 72°CStephen et al., 1998 (19)
AmoA-2RCCCCTCKGSAAAGCCTTCTTCRotthauwe et al., 1997 (17)
Crenarchaeal marine group I 16S rRNA771FACGGTGAGGGATGAAAGCT5 min at 95°C; 30 cycles consisting of 30 s at 95°C, 30 s at 54°C, and 30 s at 72°COchsenreiter et al., 2003 (14)
957RCGGCGTTGACTCCAATTG
Open in a separate windowTriplicate PCR products were pooled and clone libraries constructed following the manufacturer''s instructions (Takara Inc., Dalian, China). PCR clones from the libraries were randomly selected for sequencing (Sangon Inc., China). Phylogenetic trees were generated using the PHYLIP package (4) and the maximum-likelihood, neighbor-joining, and maximum-parsimony methods. Bootstrap analysis was used to estimate the reliability of phylogenetic tree constructions (200 replicates). Trees were created using the program Treeview (version 1.6.6).Positive and specific PCR bands were obtained for the archaeal amoA genes from all the three samples, while no PCR band was obtained for the bacterial amoA gene (for the primers and procedures used, see Table Table1).1). In addition, sample 4136-1 was found by Q-PCR analysis to contain the highest number of archaeal amoA genes (with 7.36 ± 0.37 × 104 copies per g of chimney), followed by samples 4143-1A (with 1.88 ± 0.08 × 104 copies per g of chimney) and 4148-1A (with 1.37 ± 0.07 × 102 copies per g of chimney).Clone libraries of archaeal amoA from the three samples were constructed. A total of 93 clones (33 from sample 4136-1, 30 from sample 4143-1A, and 30 from sample 4148-1A) were sequenced and divided into 33 operational taxonomic units (OTUs) based on 99% nucleotide identity. The majority (81.7%) of the retrieved archaeal amoA OTU sequences exhibited relatively low identity (≤94.56%) to other archaeal amoA sequences deposited in GenBank. The phylogenetic relationships among the retrieved amoA and some published amoA sequences are shown in Fig. Fig.1.1. The chimney archaeal amoA sequences fell into five clusters (chimney group I, chimney group II, sediment A-1, and water column A and B clusters), except the sequence of clone 4143-1A-10, which did not fall into any cluster and exhibited the highest identity (90%) to the sequence of clone HB_B_0805A06, which was derived from coastal sediment (18). Chimney group I contained 52 sequences (30 from sample 4148-1A, 11 from sample 4143-1A, and 11 from sample 4136-1); chimney group II contained 23 sequences (20 from sample 4136-1 and 3 from sample 4143-1A). Fourteen sequences from sample 4143-1A grouped into water column A and B clusters (5); and one sequence from sample 4143-1A grouped into the sediment A-1 cluster (13). The sequences from chimney group I exhibited the highest identity (94%) to clone CR-G3N006, derived from a cold seep of the Japan Sea (13). Sequences in chimney group II exhibited the highest identity to clone OA-MA-122 from a water column of a coastal aquarium biofilter, with 84% nucleotide identity (21). The sequences of chimney group II did not cluster with any other sequences. Although showing low bootstrap values (<50%), the chimney group II sequences always clustered into a separate group (Fig. (Fig.1)1) according to different calculation methods, including the maximum-likelihood, neighbor-joining, and maximum-parsimony methods.Open in a separate windowFIG. 1.Phylogenetic tree showing the affiliations of archaeal amoA gene sequences from chimneys (in bold), sediments, soil, water, and the isolated AOA. Bootstrap values were calculated from 200 replications with 585 characters. Maximum-likelihood (left), distance (middle), and parsimony (right) bootstrap values providing ≥50% support are indicated. The bar represents 100 expected substitutions for the archaeal amoA region analyzed. Bacterial amoA sequences were set as the outgroup.Sample 4136-1 contained the highest number of archaeal amoA gene copies. Q-PCR using primers 344F and 518R (15) showed that sample 4136-1 contained 1.10 ± 0.05 × 106 copies of archaeal 16S rRNA genes per g of chimney. Assuming that each crenarchaeal cell possessed only one copy of the amoA gene (8), the AOA constituted at least 6.1% of the archaeal community in sample 4136-1. To explore the potential sources of these amoA sequences in sample 4136-1, an archaeal 16S rRNA clone library was constructed and a total of 82 clones were sequenced. These sequences divided into 20 OTUs based on 98% nucleotide identity. Fifteen OTUs (accounting 76.8% of the total sequences) belonged to hyperthermophilic Desulfurococcales species, and two OTUs (accounting for 15.9% of the total number of sequences) belonged to hyperthermophilic Thermoproteales species of the Crenarchaeota phylum, whereas three OTUs (accounting 7.32% of the total number of sequences) belonged to Thermococcales species of the Euryarchaeota kingdom (Fig. (Fig.2).2). Members of the crenarchaeal MGI, which was thought to be the source of nonthermophilic AOA (6, 8), were not detected in this library. Therefore, PCR using MGI-specific primers was performed to further detect MGI species (for PCR primers and conditions, see Table Table11 and reference 14). MGI species were easily detected in sample 4143-1A, but not in samples 4136-1 and 4148-1A, by direct PCR amplification. A nested PCR method employing generic archaeal 16S rRNA gene primers was then performed for the first round of PCR followed by MGI-selective PCR primers for the second round of PCR. This procedure created a PCR band of the correct size for MGI species from sample 4136-1; that band was later shown by cloning and sequencing to represent an MGI 16S rRNA gene fragment (see Fig. S1 in the supplemental material). The data implied that some of the amoA genes detected in the chimney samples may have come from MGI species; however, to determine the origin of the amoA genes, especially those in the chimney groups I and II, isolation or enrichment of the organisms would be necessary.Open in a separate windowFIG. 2.Phylogenetic tree showing the affiliations of 16S rRNA gene sequences retrieved from hydrothermal vent chimney 4136-1 (in boldface) with selected reference sequences of the Archaea domain. Bootstrap values were calculated from 200 replications with 790 characters. Maximum-likelihood (left), distance (middle), and parsimony (right) bootstrap values providing ≥50% support are indicated. The bar represents 100 expected substitutions for the archaeal 16S rRNA gene analyzed. Bacterial 16S rRNA sequences were set as the outgroup. HWCGIII, hot water crenarchaeotic group III.  相似文献   

7.
We developed and tested a set of primers for amplification of a region of the 24S a-subunit rRNA genes (24S rDNA) specific to Kinetoplastida (Protozoa). The reverse primer was supplied with a GC rich region in the 5? end in order to make the PCR product suitable for analysis by denaturing gradient gel electrophoresis (DGGE). PCR product was obtained from all the kinetoplastids tested and no PCR product was obtained from any other Eukaryotes or Prokaryotes tested. It was possible to distinguish between all pure cultures of kinetoplastids by denaturing gradient gel electrophoresis in gels ranging from 20% to 60% denaturants. PCR-DGGE analysis of DNA purified from lake sediment revealed approximately 20 bands indicating high kinetoplastid diversity. Direct cloning and sequencing of 24S rDNA sequences retrieved from the lake sediment by PCR also showed high kinetoplastid diversity. Of 43 clones, 27 different sequences were found. Alignments and phylogenetic analysis showed that a majority of the sequences were most closely related to the Bodonidae. Four sequences were closer to the Trypanosomatidae, whereas three sequences fell outside both groups. The PCR-DGGE procedure developed in this study has been shown to be useful for distinguishing between different kinetoplastid species. Thus, it may be a useful tool for evaluating the genetic diversity of this group in environmental samples, e.g., as a result of perturbation. Another possible application of this method is in fast and accurate screening for the presence and identification of pathological parasitic Kinetoplastida from environmental samples and for diagnostics of human and animal infections.  相似文献   

8.
The availability of a diverse set of 23S rRNA gene sequences enabled evaluation of the specificity of 39 previously published and 4 newly designed primers specific for bacteria. An extensive clone library constructed using an optimized primer pair resulted in similar gene richness but slightly differing coverage of some phylogenetic groups, compared to a 16S rRNA gene library from the same environmental sample.  相似文献   

9.
The Universal Method (UM) described here will allow the detection of any bacterial rDNA leading to the identification of that bacterium. The method should allow prompt and accurate identification of bacteria. The principle of the method is simple; when a pure PCR product of the 16S gene is obtained, sequenced, and aligned against bacterial DNA data base, then the bacterium can be identified. Confirmation of identity may follow. In this work, several general 16S primers were designed, mixed and applied successfully against 101 different bacterial isolates. One mixture, the Golden mixture7 (G7) detected all tested isolates (67/67). Other golden mixtures; G11, G10, G12, and G5 were useful as well. The overall sensitivity of the UM was 100% since all 101 isolates were detected yielding intended PCR amplicons. A selected PCR band from each of 40 isolates was sequenced and the bacterium identified to species or genus level using BLAST. The results of the UM were consistent with bacterial identities as validated with other identification methods; cultural, API 20E, API 20NE, or genera and species specific PCR primers. Bacteria identified in the study, covered 34 species distributed among 24 genera. The UM should allow the identification of species, genus, novel species or genera, variations within species, and detection of bacterial DNA in otherwise sterile samples such as blood, cerebrospinal fluid, manufactured products, medical supplies, cosmetics, and other samples. Applicability of the method to identifying members of bacterial communities is discussed. The approach itself can be applied to other taxa such as protists and nematodes.  相似文献   

10.
The impact of heavy-metal contamination on archaean communities was studied in soils amended with sewage sludge contaminated with heavy metals to varying extents. Fluorescent in situ hybridization showed a decrease in the percentage of Archaea from 1.3% ± 0.3% of 4′,6-diamidino-2-phenylindole-stained cells in untreated soil to below the detection limit in soils amended with heavy metals. A comparison of the archaean communities of the different plots by denaturing gradient gel electrophoresis revealed differences in the structure of the archaean communities in soils with increasing heavy-metal contamination. Analysis of cloned 16S ribosomal DNA showed close similarities to a unique and globally distributed lineage of the kingdom Crenarchaeota that is phylogenetically distinct from currently characterized crenarchaeotal species.  相似文献   

11.
PCR扩增Sry基因进行鲸类动物性别的鉴定   总被引:2,自引:0,他引:2  
哺乳动物Y染色体短臂上的Sry 基因决定雄性发育方向。本研究参照哺乳动物Sry 基因保守区序列设计引物, 以非性别特异性的线粒体DNA 细胞色素b 基因作为阳性对照, 用PCR 扩增江豚、长喙真海豚等鲸类动物的Sry 基因片断并对其进行凝胶电泳分析来鉴定鲸类动物的性别。通过此方法对87 个已知性别鲸类动物标本的检验, 结果完全正确, 并进一步应用此方法成功地完成了另外33 个未知性别鲸类标本的性别鉴定。由此建立了一套简单、快速、可靠的鲸类动物的性别鉴定方法。  相似文献   

12.
Although the richness of Bacteria and Fungi in Cerrado’ soils has been reported, here we report, for the first time, the archaeal community in Cerrado’s soils. DNA extracted from soil of two distinct vegetation types, a dense subtype of sensu strict (cerrado denso) and riverbank forest (mata de galeria), was used to amplify Archaea-specific 16S rRNA gene. All of the fragments sequenced were classified as Archaea into the phylum Thaumarchaeota, predominantly affiliated to groups I.1b and I.1c. Sequences affiliated to the group I.1a were found only in the soil from riverbank forest. Soils from ‘cerrado denso’ had greater Archaea richness than those from ‘mata de galeria’ based on the richness indexes and on the rarefaction curve. β-Diversity analysis showed significant differences between the sequences from the two soil areas studied because of their different thaumarchaeal group composition. These results provide information about the third domain of life from Cerrado soils.  相似文献   

13.
The study of of the distribution of microorganisms through space (and time) allows evaluation of biogeographic patterns, like the species-area index (z). Due to their high dispersal ability, high reproduction rates and low rates of extinction microorganisms tend to be widely distributed, and they are thought to be virtually cosmopolitan and selected primarily by environmental factors. Recent studies have shown that, despite these characteristics, microorganisms may behave like larger organisms and exhibit geographical distribution. In this study, we searched patterns of spatial diversity distribution of bacteria and archaea in a contiguous environment. We collected 26 samples of a lake sediment, distributed in a nested grid, with distances between samples ranging from 0.01 m to 1000 m. The samples were analyzed using T-RFLP (Terminal restriction fragment length polymorphism) targeting mcrA (coding for a subunit of methyl-coenzyme M reductase) and the genes of Archaeal and Bacterial 16S rRNA. From the qualitative and quantitative results (relative abundance of operational taxonomic units) we calculated the similarity index for each pair to evaluate the taxa-area and distance decay relationship slopes by linear regression. All results were significant, with mcrA genes showing the highest slope, followed by Archaeal and Bacterial 16S rRNA genes. We showed that the microorganisms of a methanogenic community, that is active in a contiguous environment, display spatial distribution and a taxa-area relationship.  相似文献   

14.
The diversity of Archaea from three different hypersaline environments was analyzed and compared by polymerase chain reaction (PCR)-based molecular phylogenetic techniques and cultivation approaches. The samples originated from a crystallization pond of a solar saltern in Spain (FC); an alkaline lake in Nevada, USA, (EMF); and a small pond from a slag heap of a potassium mine in Germany (DIE). Except for two 16S rDNA sequences that were related to crenarchaeota from soil and did not apparently belong to the indigenous halophilic community, all sequences recovered from environmental DNA or cultivated strains grouped within the Halobacteriaceae. Mostly 16S rDNA sequences related to the genera Halorubrum and Haloarcula were detected in sample FC, and organisms belonging to these genera were also recovered by cultivation. In contrast, sequences related to five different groups of halophilic archaea were amplified from sample DIE (including novel lineages with only uncultivated phylotypes), but the organisms that were cultivated from this sample fell into different groups (i.e., Natronococcus, Halorubrum, or unaffiliated) and did not overlap with those predicted using the culture-independent approach. With respect to the highly alkaline sample, EMF, four groups were predicted from the environmental 16S rDNA sequences, two of which ( Natronomonas and Haloarcula) were also recovered through cultivation together with Natronococcus isolates. In summary, we found that halophilic archaea dominate the archaeal populations in these three hypersaline environments and show that culturability of the organisms predicted by molecular surveys might strongly depend on the habitat chosen. While a number of novel halophilic archaea have been isolated, we have not been able to cultivate representatives of the new lineages that were detected in this and several other environmental studies.  相似文献   

15.
A nested-PCR temporal temperature gradient gel electrophoresis (TTGE) approach was developed for the detection of bacteria belonging to phylogenetic cluster I of the genus Clostridium (the largest clostridial group, which represents 25% of the currently cultured clostridial species) in cheese suspected of late blowing. Primers were designed based on the 16S rRNA gene sequence, and the specificity was confirmed in PCRs performed with DNAs from cluster I and non-cluster I species as the templates. TTGE profiles of the PCR products, comprising the V5-V6 region of the 16S rRNA gene, allowed us to distinguish the majority of cluster I species. PCR-TTGE was applied to analyze commercial cheeses with defects. All cheeses gave a signal after nested PCR, and on the basis of band comigration with TTGE profiles of reference strains, all the bands could be assigned to a clostridial species. The direct identification of Clostridium spp. was confirmed by sequencing of excised bands. C. tyrobutyricum and C. beijerinckii contaminated 15 and 14 of the 20 cheese samples tested, respectively, and C. butyricum and C. sporogenes were detected in one cheese sample. Most-probable-number counts and volatile fatty acid were determined for comparison purposes. Results obtained were in agreement, but only two species, C. tyrobutyricum and C. sporogenes, could be isolated by the plating method. In all cheeses with a high amount of butyric acid (>100 mg/100 g), the presence of C. tyrobutyricum DNA was confirmed by PCR-TTGE, suggesting the involvement of this species in butyric acid fermentation. These results demonstrated the efficacy of the PCR-TTGE method to identify Clostridium in cheeses. The sensitivity of the method was estimated to be 100 CFU/g.  相似文献   

16.
For the detection and identification of predominant bacteria in human feces, 16S rRNA-gene-targeted group-specific primers for the Bacteroides fragilis group, Bifidobacterium, the Clostridium coccoides group, and Prevotella were designed and evaluated. The specificity of these primers was confirmed by using DNA extracted from 90 species that are commonly found in the human intestinal microflora. The group-specific primers were then used for identification of 300 isolates from feces of six healthy volunteers. The isolates were clearly identified as 117 isolates of the B. fragilis group, 22 isolates of Bifidobacterium, 65 isolates of the C. coccoides group, and 17 isolates of Prevotella, indicating that 74% of the isolates were identified with the four pairs of primers. The remaining 79 isolates were identified by 16S ribosomal DNA sequence analysis and consisted of 40 isolates of Collinsella, 24 isolates of the Clostridium leptum subgroup, and 15 isolates of disparate clusters. In addition, qualitative detection of these bacterial groups was accomplished without cultivation by using DNA extracted from the fecal samples. The goal for this specific PCR technique is to develop a procedure for quantitative detection of these bacterial groups, and a real-time quantitative PCR for detection of Bifidobacterium is now being investigated (T. Requena, J. Burton, T. Matsuki, K. Munro, M. A. Simon, R. Tanaka, K. Watanabe, and G. W. Tannock, Appl. Environ. Microbiol. 68:2420-2427, 2002). Therefore, the approaches used to detect and identify predominant bacteria with the group-specific primers described here should contribute to future studies of the composition and dynamics of the intestinal microflora.  相似文献   

17.
[目的]本研究旨在了解西藏米拉山高寒草甸土壤中古菌及氨氧化古菌群落结构组成情况.[方法]采用未培养技术直接从土壤中提取微生物总DNA,分别利用通用引物构建古菌16S rRNA基因和氨氧化古菌amoA基因克隆文库.利用DOTUR软件将古菌和氨氧化古菌序列按照相似性97%的标准分成若干个可操作分类单元(OTUs).[结果]通过构建系统发育树,表明古菌16s rRNA基因克隆文库包括泉古菌门和未分类的古菌两大类,并且所有泉古菌均属于热变形菌纲.氨氧化古菌amoA基因克隆文库中序列均为泉古菌.古菌16s rRNA基因和古菌amoA基因克隆文库分别包括64个OTUs和75个OTUs.[结论]西藏米拉山高寒草甸土壤中古菌多样性比较丰富,表明古菌在高寒草甸土壤的氮循环中可能具有重要的作用.  相似文献   

18.
Diversity in Chemotaxis Mechanisms among the Bacteria and Archaea   总被引:15,自引:1,他引:14  
The study of chemotaxis describes the cellular processes that control the movement of organisms toward favorable environments. In bacteria and archaea, motility is controlled by a two-component system involving a histidine kinase that senses the environment and a response regulator, a very common type of signal transduction in prokaryotes. Most insights into the processes involved have come from studies of Escherichia coli over the last three decades. However, in the last 10 years, with the sequencing of many prokaryotic genomes, it has become clear that E. coli represents a streamlined example of bacterial chemotaxis. While general features of excitation remain conserved among bacteria and archaea, specific features, such as adaptational processes and hydrolysis of the intracellular signal CheY-P, are quite diverse. The Bacillus subtilis chemotaxis system is considerably more complex and appears to be similar to the one that existed when the bacteria and archaea separated during evolution, so that understanding this mechanism should provide insight into the variety of mechanisms used today by the broad sweep of chemotactic bacteria and archaea. However, processes even beyond those used in E. coli and B. subtilis have been discovered in other organisms. This review emphasizes those used by B. subtilis and these other organisms but also gives an account of the mechanism in E. coli.  相似文献   

19.
西藏米拉山土壤古菌16S rRNA及amoA基因多样性?分析   总被引:2,自引:0,他引:2  
摘要:【目的】硝化作用在全球土壤氮循环中具有重要的作用,虽然细菌一度被认为单独负责催化这个过程的限速步骤,但是最近一些研究结果表明泉古菌具有氨氧化的能力。本文通过构建古菌16S rRNA 基因克隆文库和氨氧化古菌amoA基因文库,分析西藏米拉山高寒草甸土壤中古菌及氨氧化古菌群落结构组成情况,为揭示青藏高原高寒草甸土壤古菌的多样性提供理论基础。【方法】采用未培养技术直接从土壤中提取微生物总DNA,分别利用通用引物构建古菌16S rRNA 基因和氨氧化古菌amoA基因克隆文库。【结果】通过构建系统发育树,表明古菌16S rRNA 基因克隆文库包括泉古菌门和未分类的古菌两大类,并且所有泉古菌均属于热变形菌纲。氨氧化古菌amoA基因克隆文库中序列均为泉古菌。通过DOTUR软件分析,古菌16S rRNA基因和古菌amoA基因克隆文库分别包括64个OTUs和 75个OTUs。【结论】西藏米拉山高寒草甸土壤中古菌多样性比较丰富,表明古菌在高寒草甸土壤的氮循环中可能具有重要的作用。所获得的一些序列与已知环境中土壤、淡水及海洋沉积物中获得的一些序列具有很高的相似性,其古菌及氨氧化古菌来自不同环境的可能性比较大,可能与青藏高原的地质历史变迁过程有关。米拉山古菌及氨氧化古菌与陆地设施土壤中相似性最高,说明与西藏米拉山高寒草甸土壤的退化有关。  相似文献   

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