Effect of Primers Hybridizing to Different Evolutionarily Conserved Regions of the Small-Subunit rRNA Gene in PCR-Based Microbial Community Analyses and Genetic Profiling

Genetic profiling techniques of microbial communities based on PCR-amplified signature genes, such as denaturing gradient gel electrophoresis or single-strand-conformation polymorphism (SSCP) analysis, are normally done with PCR products of less than 500-bp. The most common target for diversity analysis, the small-subunit rRNA genes, however, are larger, and thus, only partial sequences can be analyzed. Here, we compared the results obtained by PCR targeting different variable (V) regions (V2 and V3, V4 and V5, and V6 to V8) of the bacterial 16S rRNA gene with primers hybridizing to evolutionarily conserved flanking regions. SSCP analysis of single-stranded PCR products generated from 13 different bacterial species showed fewer bands with products containing V4-V5 (average, 1.7 bands per organism) than with V2-V3 (2.2 bands) and V6-V8 (2.3 bands). We found that the additional bands (>1 per organism) were caused by intraspecies operon heterogeneities or by more than one conformation of the same sequence. Community profiles, generated by PCR-SSCP from bacterial-cell consortia extracted from rhizospheres of field-grown maize (Zea mays), were analyzed by cloning and sequencing of the dominant bands. A total of 48 sequences could be attributed to 34 different strains from 10 taxonomical groups. Independent of the primer pairs, we found proteobacteria (α, β, and γ subgroups) and members of the genus Paenibacillus (low G+C gram-positive) to be the dominant organisms. Other groups, however, were only detected with single primer pairs. This study gives an example of how much the selection of different variable regions combined with different specificities of the flanking “universal” primers can affect a PCR-based microbial community analysis.     

Succession of microbial communities during hot composting as detected by PCR-single-strand-conformation polymorphism-based genetic profiles of small-subunit rRNA genes

A cultivation-independent technique for genetic profiling of PCR-amplified small-subunit rRNA genes (SSU rDNA) was chosen to characterize the diversity and succession of microbial communities during composting of an organic agricultural substrate. PCR amplifications were performed with DNA directly extracted from compost samples and with primers targeting either (i) the V4-V5 region of eubacterial 16S rRNA genes, (ii) the V3 region in the 16S rRNA genes of actinomycetes, or (iii) the V8-V9 region of fungal 18S rRNA genes. Homologous PCR products were converted to single-stranded DNA molecules by exonuclease digestion and were subsequently electrophoretically separated by their single-strand-conformation polymorphism (SSCP). Genetic profiles obtained by this technique showed a succession and increasing diversity of microbial populations with all primers. A total of 19 single products were isolated from the profiles by PCR reamplification and cloning. DNA sequencing of these molecular isolates showed similarities in the range of 92.3 to 100% to known gram-positive bacteria with a low or high G+C DNA content and to the SSU rDNA of gamma-Proteobacteria. The amplified 18S rRNA gene sequences were related to the respective gene regions of Candida krusei and Candida tropicalis. Specific molecular isolates could be attributed to different composting stages. The diversity of cultivated bacteria isolated from samples taken at the end of the composting process was low. A total of 290 isolates were related to only 6 different species. Two or three of these species were also detectable in the SSCP community profiles. Our study indicates that community SSCP profiles can be highly useful for the monitoring of bacterial diversity and community successions in a biotechnologically relevant process.     

A New Approach To Utilize PCR–Single-Strand-Conformation Polymorphism for 16S rRNA Gene-Based Microbial Community Analysis

Single-strand-conformation polymorphism (SSCP) of DNA, a method widely used in mutation analysis, was adapted to the analysis and differentiation of cultivated pure-culture soil microorganisms and noncultivated rhizosphere microbial communities. A fragment (approximately 400 bp) of the bacterial 16S rRNA gene (V-4 and V-5 regions) was amplified by PCR with universal primers, with one primer phosphorylated at the 5′ end. The phosphorylated strands of the PCR products were selectively digested with lambda exonuclease, and the remaining strands were separated by electrophoresis with an MDE polyacrylamide gel, a matrix specifically optimized for SSCP purposes. By this means, reannealing and heteroduplex formation of DNA strands during electrophoresis could be excluded, and the number of bands per organism was reduced. PCR products from 10 of 11 different bacterial type strains tested could be differentiated from each other. With template mixtures consisting of pure-culture DNAs from 5 and 10 bacterial strains, most of the single strains could be detected from such model communities after PCR and SSCP analyses. Purified bands amplified from pure cultures and model communities extracted from gels could be reamplified by PCR, but by this process, additional products were also generated, as detected by further SSCP analysis. Profiles generated with DNAs of rhizosphere bacterial communities, directly extracted from two different plant species grown in the same field site, could be clearly distinguished. This study demonstrates the potential of the selected PCR–single-stranded DNA approach for microbial community analysis.     

Target region selection is a critical determinant of community fingerprints generated by 16S pyrosequencing

Pyrosequencing of 16S rRNA genes allows for in-depth characterization of complex microbial communities. Although it is known that primer selection can influence the profile of a community generated by sequencing, the extent and severity of this bias on deep-sequencing methodologies is not well elucidated. We tested the hypothesis that the hypervariable region targeted for sequencing and primer degeneracy play important roles in influencing the composition of 16S pyrotag communities. Subgingival plaque from deep sites of current smokers with chronic periodontitis was analyzed using Sanger sequencing and pyrosequencing using 4 primer pairs. Greater numbers of species were detected by pyrosequencing than by Sanger sequencing. Rare taxa constituted nearly 6% of each pyrotag community and less than 1% of the Sanger sequencing community. However, the different target regions selected for pyrosequencing did not demonstrate a significant difference in the number of rare and abundant taxa detected. The genera Prevotella, Fusobacterium, Streptococcus, Granulicatella, Bacteroides, Porphyromonas and Treponema were abundant when the V1-V3 region was targeted, while Streptococcus, Treponema, Prevotella, Eubacterium, Porphyromonas, Campylobacter and Enterococcus predominated in the community generated by V4-V6 primers, and the most numerous genera in the V7-V9 community were Veillonella, Streptococcus, Eubacterium, Enterococcus, Treponema, Catonella and Selenomonas. Targeting the V4-V6 region failed to detect the genus Fusobacterium, while the taxa Selenomonas, TM7 and Mycoplasma were not detected by the V7-V9 primer pairs. The communities generated by degenerate and non-degenerate primers did not demonstrate significant differences. Averaging the community fingerprints generated by V1-V3 and V7-V9 primers provided results similar to Sanger sequencing, while allowing a significantly greater depth of coverage than is possible with Sanger sequencing. It is therefore important to use primers targeted to these two regions of the 16S rRNA gene in all deep-sequencing efforts to obtain representational characterization of complex microbial communities.     

Genetic profiling of noncultivated bacteria from the rhizospheres of sugar beet (Beta vulgaris) reveal field and annual variability but no effect of a transgenic herbicide resistance

In this field study, we compared the bacterial communities inhabiting the rhizosphere of a transgenic, herbicide-resistant sugar beet (Beta vulgaris) cultivar with those of its nonengineered counterpart, using a genetic profiling technique based on PCR amplifications of partial 16S rRNA gene sequences and single-strand conformation polymorphism (SSCP). As a control for the plasticity of the bacterial community, we also analyzed the influence of herbicides, the field heterogeneity, and the annual variation. DNA was isolated from bacterial cell consortia that were directly collected from root material. PCR was carried out with primers that hybridized to evolutionarily conserved regions flanking variable regions 4 and 5 of the 16S rRNA gene. SSCP patterns of these PCR products were composed of approximately 50 distinguishable bands, as detected by silver staining of the gels after electrophoresis. Patterns of the replicates and the different treatments were highly similar, but digital image and similarity analyses revealed differences that corresponded to the positions of the replicates in the field. In addition, communities collected from sugar beet in two successive growing seasons could be distinguished. In contrast, no effect of the transgenic herbicide resistance was detectable. Sequencing of 24 dominant products of the SSCP profiles indicated the presence of bacteria from different phylogenetic groups, with Proteobacteria and members of the Cytophaga-Flavobacterium-Bacteroides group being most abundant.     

不同紫花苜蓿品种根瘤菌遗传多样性的PCR-SSCP分析

用PCR-SSCP方法对分离自23个紫花苜蓿品种的42株供试根瘤菌和2株苜蓿根瘤菌参比菌株Sinorhi-zobium meliloti、Sinorhizobium medica进行遗传多样性分析.结果表明,供试的紫花苜蓿根瘤菌存在丰富的遗传多样性,在16S rDNA的V2~V3区段中有12种不同的等位基因,V4~V5区段有13种不同的等位基因,基因型27个;大部分供试菌株的基因型各不相同,来自同一品种菌株之间表现出不同的基因型,来自不同品种的菌株却表现出相同的基因型;9株供试菌株在V2~V3区段的基因型与参比菌株S.meliloti相同,所有供试菌株的基因型与参比菌株S.medica都不同.     

Succession of Microbial Communities during Hot Composting as Detected by PCR–Single-Strand-Conformation Polymorphism-Based Genetic Profiles of Small-Subunit rRNA Genes

A cultivation-independent technique for genetic profiling of PCR-amplified small-subunit rRNA genes (SSU rDNA) was chosen to characterize the diversity and succession of microbial communities during composting of an organic agricultural substrate. PCR amplifications were performed with DNA directly extracted from compost samples and with primers targeting either (i) the V4–V5 region of eubacterial 16S rRNA genes, (ii) the V3 region in the 16S rRNA genes of actinomycetes, or (iii) the V8–V9 region of fungal 18S rRNA genes. Homologous PCR products were converted to single-stranded DNA molecules by exonuclease digestion and were subsequently electrophoretically separated by their single-strand-conformation polymorphism (SSCP). Genetic profiles obtained by this technique showed a succession and increasing diversity of microbial populations with all primers. A total of 19 single products were isolated from the profiles by PCR reamplification and cloning. DNA sequencing of these molecular isolates showed similarities in the range of 92.3 to 100% to known gram-positive bacteria with a low or high G+C DNA content and to the SSU rDNA of γ-Proteobacteria. The amplified 18S rRNA gene sequences were related to the respective gene regions of Candida krusei and Candida tropicalis. Specific molecular isolates could be attributed to different composting stages. The diversity of cultivated bacteria isolated from samples taken at the end of the composting process was low. A total of 290 isolates were related to only 6 different species. Two or three of these species were also detectable in the SSCP community profiles. Our study indicates that community SSCP profiles can be highly useful for the monitoring of bacterial diversity and community successions in a biotechnologically relevant process.     

Bacterial community dynamics during production of registered designation of origin Salers cheese as evaluated by 16S rRNA gene single-strand conformation polymorphism analysis

Microbial dynamics during processing and ripening of traditional cheeses such as registered designation of origin Salers cheese, an artisanal cheese produced in France, play an important role in the elaboration of sensory qualities. The aim of the present study was to obtain a picture of the dynamics of the microbial ecosystem of RDO Salers cheese by using culture-independent methods. This included DNA extraction, PCR, and single-strand conformation polymorphism (SSCP) analysis. Bacterial and high-GC% gram-positive bacterial primers were used to amplify V2 or V3 regions of the 16S rRNA gene. SSCP patterns revealed changes during the manufacturing of the cheese. Patterns of the ecosystems of cheeses that were provided by three farmers were also quite different. Cloning and sequencing of the 16S rRNA gene revealed sequences related to lactic acid bacteria (Lactococcus lactis, Streptococcus thermophilus, Enterococcus faecium, Leuconostoc mesenteroides, Leuconostoc pseudomesenteroides, Lactobacillus plantarum, and Lactobacillus pentosus), which were predominant during manufacturing and ripening. Bacteria belonging to the high-GC% gram-positive group (essentially corynebacteria) were found by using specific primers. The present molecular approach can effectively describe the ecosystem of artisanal dairy products.     

PCR-SSCP技术在嗜盐放线菌链单孢菌属快速筛选中的应用

为提高嗜盐放线茵的研究效率,快速、准确的从大量分离菌株中去除重复菌株、筛选出目的菌株,在特异性引物快速定属的基础上,以嗜盐放线茵链单孢茵属的34株菌株为研究对象,采用与PCR相结合的单链构象多态性分析(PCR-SSCP),扩增出16S rRNA基因中的两个高变区,根据结果对34株菌株进行聚类分析,并将其16S rRNA基因片段测序予以验证.结果表明,聚类后34株菌株可大致分为3类,且与16S rRNA基因片段分析结果一致.从而可快速去除重复菌株并反映出菌株间的系统进化关系.同时实验数据可构建成库,使后续分离菌株的筛选工作只需比对数据即可完成,利于提高工作效率,降低实验成本.     

Bacterial Community Dynamics during Production of Registered Designation of Origin Salers Cheese as Evaluated by 16S rRNA Gene Single-Strand Conformation Polymorphism Analysis

Microbial dynamics during processing and ripening of traditional cheeses such as registered designation of origin Salers cheese, an artisanal cheese produced in France, play an important role in the elaboration of sensory qualities. The aim of the present study was to obtain a picture of the dynamics of the microbial ecosystem of RDO Salers cheese by using culture-independent methods. This included DNA extraction, PCR, and single-strand conformation polymorphism (SSCP) analysis. Bacterial and high-GC% gram-positive bacterial primers were used to amplify V2 or V3 regions of the 16S rRNA gene. SSCP patterns revealed changes during the manufacturing of the cheese. Patterns of the ecosystems of cheeses that were provided by three farmers were also quite different. Cloning and sequencing of the 16S rRNA gene revealed sequences related to lactic acid bacteria (Lactococcus lactis, Streptococcus thermophilus, Enterococcus faecium, Leuconostoc mesenteroides, Leuconostoc pseudomesenteroides, Lactobacillus plantarum, and Lactobacillus pentosus), which were predominant during manufacturing and ripening. Bacteria belonging to the high-GC% gram-positive group (essentially corynebacteria) were found by using specific primers. The present molecular approach can effectively describe the ecosystem of artisanal dairy products.     

Biased Diversity Metrics Revealed by Bacterial 16S Pyrotags Derived from Different Primer Sets

In recent years, PCR-based pyrosequencing of 16S rRNA genes has continuously increased our understanding of complex microbial communities in various environments of the Earth. However, there is always concern on the potential biases of diversity determination using different 16S rRNA gene primer sets and covered regions. Here, we first report how bacterial 16S rRNA gene pyrotags derived from a series of different primer sets resulted in the biased diversity metrics. In total, 14 types of pyrotags were obtained from two-end pyrosequencing of 7 amplicon pools generated by 7 primer sets paired by 1 of 4 forward primers (V1F, V3F, V5F, and V7F) and 1 of 4 reverse primers (V2R, V4R, V6R, and V9R), respectively. The results revealed that: i) the activated sludge exhibited a large bacterial diversity that represented a broad range of bacterial populations and served as a good sample in this methodology research; ii) diversity metrics highly depended on the selected primer sets and covered regions; iii) paired pyrotags obtained from two-end pyrosequencing of each short amplicon displayed different diversity metrics; iv) relative abundance analysis indicated the sequencing depth affected the determination of rare bacteria but not abundant bacteria; v) the primer set of V1F and V2R significantly underestimated the diversity of activated sludge; and vi) the primer set of V3F and V4R was highly recommended for future studies due to its advantages over other primer sets. All of these findings highlight the significance of this methodology research and offer a valuable reference for peer researchers working on microbial diversity determination.     

Genetic diversity of Desulfovibrio spp. in environmental samples analyzed by denaturing gradient gel electrophoresis of [NiFe] hydrogenase gene fragments.

The genetic diversity of Desulfovibrio species in environmental samples was determined by denaturing gradient gel electrophoresis (DGGE) of PCR-amplified [NiFe] hydrogenase gene fragments. Five different PCR primers were designed after comparative analysis of [NiFe] hydrogenase gene sequences from three Desulfovibrio species. These primers were tested in different combinations on the genomic DNAs of a variety of hydrogenase-containing and hydrogenase-lacking bacteria. One primer pair was found to be specific for Desulfovibrio species only, while the others gave positive results with other bacteria also. By using this specific primer pair, we were able to amplify the [NiFe] hydrogenase genes of DNAs isolated from environmental samples and to detect the presence of Desulfovibrio species in these samples. However, only after DGGE analysis of these PCR products could the number of different Desulfovibrio species within the samples be determined. DGGE analysis of PCR products from different bioreactors demonstrated up to two bands, while at least five distinguishable bands were detected in a microbial mat sample. Because these bands most likely represent as many Desulfovibrio species present in these samples, we conclude that the genetic diversity of Desulfovibrio species in the natural microbial mat is far greater than that in the experimental bioreactors.     

Development of reliable PCR-based markers linked to downy mildew resistance genes in lettuce

Summary Sequence characterized amplified regions (SCARs) were derived from eight random amplified polymorphic DNA (RAPD) markers linked to disease resistance genes in lettuce. SCARs are PCR-based markers that represent single, genetically defined loci that are identified by PCR amplification of genomic DNA with pairs of specific oligonucleotide primers; they may contain high-copy, dispersed genomic sequences within the amplified region. Amplified RAPD products were cloned and sequenced. The sequence was used to design 24-mer oligonucleotide primers for each end. All pairs of SCAR primers resulted in the amplification of single major bands the same size as the RAPD fragment cloned. Polymorphism was either retained as the presence or absence of amplification of the band or appeared as length polymorphisms that converted dominant RAPD loci into codominant SCAR markers. This study provided information on the molecular basis of RAPD markers. The amplified fragment contained no obvious repeated sequences beyond the primer sequence. Five out of eight pairs of SCAR primers amplified an alternate allele from both parents of the mapping population; therefore, the original RAPD polymorphism was likely due to mismatch at the primer sites.     

Comparison of DNA extraction methods for the PCR-single-strand-conformation polymorphism analysis of kefir

Experiments were performed to determine the influence of three DNA extraction methods (i.e. lysozyme, sonication and CTAB methods) from kefir on the microbial diversity analysis by PCR-single strand conformation polymorphism (PCR-SSCP). The results showed that the band of DNA extracted using CTAB was clearer than that using other methods. In addition, the yield and purity of DNA extracted using CTAB were the highest and reached, respectively, 915 μg/ml and 1.694.The results from the experiments indicated that the CTAB-based DNA extraction method was the most efficient method for DNA extraction from kefir. The heterogeneity of PCR products, amplified from community DNA with universal primers spanning the V3 region of 16S rRNA genes, was analysed by using SSCP. The results showed that the SSCP profile based on the sonication method gave the highest microbial diversity of kefir. One conclusion from these results was that the DNA extraction method was an important factor affecting the SSCP-based microbial diversity analysis of kefir.     

Detection of bacterial and mycoplasma contamination in cell cultures by polymerase chain reaction

A fast and simple method to detect bacterial and especially mycoplasma contamination in tissue culture by means of polymerase chain reaction (PCR) amplification is described. In a first step the universal primer pairs P1/P2 (190-bp fragment) and P3/P4 (120-bp fragment) directed to different conserved parts of the prokaryotic 16S rRNA gene are used. A positive signal after amplification on cell culture DNA with these primers provides an indication of bacterial infection. Using the internal primers IP1, IP3 and IP'3 complementary to a part of the V4 and V8 variable regions of the 16S rRNA gene, in combination with a universal primer, cultures contaminated with mycoplasma could be identified. Six mycoplasma species, typical contaminants in tissue cultures, were investigated: Mycoplasma orale, M. fermentans, M. arginini, M. hyorhinis, M. hominis and Aeromonas laidlawii. This mycoplasma test is an easy, specific and sensitive assay which should be extremely useful in any tissue culture setting.     

Nonradioactive method to study genetic profiles of natural bacterial communities by PCR-single-strand-conformation polymorphism.

We describe a new method for studying the structure and diversity of bacterial communities in the natural ecosystem. Our approach is based on single-strand-conformation polymorphism (SSCP) analysis of PCR products of 16S rRNA genes from complex bacterial populations. A pair of eubacterial universal primers for amplification of the variable V3 region were designed from the 16S rRNA sequences of 1,262 bacterial strains. The PCR conditions were optimized by using genomic DNAs from five gram-positive and seven gram-negative strains. The SSCP analysis of the PCR products demonstrated that a bacterial strain generated its characteristic band pattern and that other strains generated other band patterns, so that the relative diversity in bacterial communities could be measured. In addition, this method was sensitive enough to detect a bacterial population that made up less than 1.5% of a bacterial community. The distinctive differences between bacterial populations were observed in an oligotrophic lake and a eutrophic pond in a field study. The method presented here, using combined PCR amplification and SSCP pattern analyses of 16S rRNA genes, provides a useful tool to study bacterial community structures in various ecosystems.     

Species-specific detection of hydrocarbon-utilizing bacteria

Rapid detection and quantitative assessment of specific microbial species in environmental samples is desirable for monitoring changes in ecosystems and for tracking natural or introduced microbial species during bioremediation of contaminated sites. In the interests of developing rapid tests for hydrocarbon-degrading bacteria, species-specific PCR primer sets have been developed for Pseudomonas aeruginosa, Stentrophomonas (Xanthomonas) maltophilia, and Serratia marsescens. Highly variable regions of the 16S rRNA gene were used to design these primer sets. The amplification products of these primer sets have been verified and validated with hemi-nested PCR and with ligase chain reaction (LCR) techniques, and have been applied to the analyses of environmental water samples. These species-specific primer sets were also chosen to amplify in conjunction with a universal set of PCR primers chosen from highly conserved neighboring sequences in the same gene. These multiplex or competitive PCR procedures enable testing with an internal marker and/or the quantitative estimation of the relative proportion of the microbial community that any one of these species occupies. In addition, this universal PCR primer set amplified the same size amplicon from a wide spectrum of procaryotic and eucaryotic organisms and may have potential in earth biota analyses.     

Massive dominance of Epsilonproteobacteria in formation waters from a Canadian oil sands reservoir containing severely biodegraded oil

The subsurface microbiology of an Athabasca oil sands reservoir in western Canada containing severely biodegraded oil was investigated by combining 16S rRNA gene- and polar lipid-based analyses of reservoir formation water with geochemical analyses of the crude oil and formation water. Biomass was filtered from formation water, DNA was extracted using two different methods, and 16S rRNA gene fragments were amplified with several different primer pairs prior to cloning and sequencing or community fingerprinting by denaturing gradient gel electrophoresis (DGGE). Similar results were obtained irrespective of the DNA extraction method or primers used. Archaeal libraries were dominated by Methanomicrobiales (410 of 414 total sequences formed a dominant phylotype affiliated with a Methanoregula sp.), consistent with the proposed dominant role of CO(2) -reducing methanogens in crude oil biodegradation. In two bacterial 16S rRNA clone libraries generated with different primer pairs, >?99% and 100% of the sequences were affiliated with Epsilonproteobacteria (n?=?382 and 72 total clones respectively). This massive dominance of Epsilonproteobacteria sequences was again obtained in a third library (99% of sequences; n?=?96 clones) using a third universal bacterial primer pair (inosine-341f and 1492r). Sequencing of bands from DGGE profiles and intact polar lipid analyses were in accordance with the bacterial clone library results. Epsilonproteobacterial OTUs were affiliated with Sulfuricurvum, Arcobacter and Sulfurospirillum spp. detected in other oil field habitats. The dominant organism revealed by the bacterial libraries (87% of all sequences) is a close relative of Sulfuricurvum kujiense - an organism capable of oxidizing reduced sulfur compounds in crude oil. Geochemical analysis of organic extracts from bitumen at different reservoir depths down to the oil water transition zone of these oil sands indicated active biodegradation of dibenzothiophenes, and stable sulfur isotope ratios for elemental sulfur and sulfate in formation waters were indicative of anaerobic oxidation of sulfur compounds. Microbial desulfurization of crude oil may be an important metabolism for Epsilonproteobacteria indigenous to oil reservoirs with elevated sulfur content and may explain their prevalence in formation waters from highly biodegraded petroleum systems.     

Development of a Prokaryotic Universal Primer for Simultaneous Analysis of Bacteria and Archaea Using Next-Generation Sequencing

For the analysis of microbial community structure based on 16S rDNA sequence diversity, sensitive and robust PCR amplification of 16S rDNA is a critical step. To obtain accurate microbial composition data, PCR amplification must be free of bias; however, amplifying all 16S rDNA species with equal efficiency from a sample containing a large variety of microorganisms remains challenging. Here, we designed a universal primer based on the V3-V4 hypervariable region of prokaryotic 16S rDNA for the simultaneous detection of Bacteria and Archaea in fecal samples from crossbred pigs (Landrace×Large white×Duroc) using an Illumina MiSeq next-generation sequencer. In-silico analysis showed that the newly designed universal prokaryotic primers matched approximately 98.0% of Bacteria and 94.6% of Archaea rRNA gene sequences in the Ribosomal Database Project database. For each sequencing reaction performed with the prokaryotic universal primer, an average of 69,330 (±20,482) reads were obtained, of which archaeal rRNA genes comprised approximately 1.2% to 3.2% of all prokaryotic reads. In addition, the detection frequency of Bacteria belonging to the phylum Verrucomicrobia, including members of the classes Verrucomicrobiae and Opitutae, was higher in the NGS analysis using the prokaryotic universal primer than that performed with the bacterial universal primer. Importantly, this new prokaryotic universal primer set had markedly lower bias than that of most previously designed universal primers. Our findings demonstrate that the prokaryotic universal primer set designed in the present study will permit the simultaneous detection of Bacteria and Archaea, and will therefore allow for a more comprehensive understanding of microbial community structures in environmental samples.     

人工神经原网络处理PCR数据在细菌鉴定中的应用

目的16SrRNA和16S-23SrRNA间区片段是常用细菌分类鉴定靶点,本研究探讨人工神经原网络（ANN）对上述位点PCR扩增产物数据分析在细菌快速鉴定方面的价值。方法2对15SrRNA基因荧光引物和1对16S-23SrRNA区间基因引物用于扩增血液标本中分离出的317株细菌。相关毛细管电泳（CE）限制性片段长度多态性（RFLP）和单链构象多态性（SSCP）数据进行人工神经原网络分析。结果16S-23SrRNA基因的RFLP数据对未知菌鉴定的准确率高于16SrRNA基因的SSCP数据,分别为98．0％和79．6％。结论实验证明了人工神经原网络作为一种模式识别方法对于简化细菌鉴定十分有价值。