大黄鱼16SrRNA和18SrRNA基因的测定与序列分析

利用多对引物,扩增并测定出大黄鱼16SrRNA基因和18SrRNA基因的部分序列,其长度分别为1202bp和1275bp,16SrRNA基因序列的GC含量为46．12％,18SrRNA基因的Gc含量为53．oo％。将大黄鱼16SrRNA基因序列与GenBank中15种硬骨鱼类的同源序列结合,同时将其18SrRNA基因序列与GenBank中9种脊索动物的同源序列相结合,运用软件获得各自序列间差异百分比,转换和颠换数值等信息。基于这两种基因序列,利用NJ法和BI法,分别构建16种硬骨鱼类和10种脊索动物的分子系统树。18SrRNA构建的系统树包括三大支,一支为哺乳类、鸟类和爬行类共6个物种,一支为两栖类的1个物种,另一支为2种硬骨鱼类。16SrRNA构建的系统树显示大黄鱼所在的石首鱼科与鲈科和盖刺鱼科亲缘关系较近。此外还讨论了这两个基因的序列特征。     

Evaluation of different partial 16S rRNA gene sequence regions for phylogenetic analysis of microbiomes

Operational taxonomic units (OTUs) are conventionally defined at a phylogenetic distance (0.03—species, 0.05—genus, 0.10—family) based on full-length 16S rRNA gene sequences. However, partial sequences (700 bp or shorter) have been used in most studies. This discord may affect analysis of diversity and species richness because sequence divergence is not distributed evenly along the 16S rRNA gene. In this study, we compared a set each of bacterial and archaeal 16S rRNA gene sequences of nearly full length with multiple sets of different partial 16S rRNA gene sequences derived therefrom (approximately 440-700 bp), at conventional and alternative distance levels. Our objective was to identify partial sequence region(s) and distance level(s) that allow more accurate phylogenetic analysis of partial 16S rRNA genes. Our results showed that no partial sequence region could estimate OTU richness or define OTUs as reliably as nearly full-length genes. However, the V1-V4 regions can provide more accurate estimates than others. For analysis of archaea, we recommend the V1-V3 and the V4-V7 regions and clustering of species-level OTUs at 0.03 and 0.02 distances, respectively. For analysis of bacteria, the V1-V3 and the V1-V4 regions should be targeted, with species-level OTUs being clustered at 0.04 distance in both cases.     

Turkey fecal microbial community structure and functional gene diversity revealed by 16S rRNA gene and metagenomic sequences

The primary goal of this study was to better understand the microbial composition and functional genetic diversity associated with turkey fecal communities. To achieve this, 16S rRNA gene and metagenomic clone libraries were sequenced from turkey fecal samples. The analysis of 382 16S rRNA gene sequences showed that the most abundant bacteria were closely related to Lactobacillales (47%), Bacillales (31%), and Clostridiales (11%). Actinomycetales, Enterobacteriales, and Bacteroidales sequences were also identified, but represented a smaller part of the community. The analysis of 379 metagenomic sequences showed that most clones were similar to bacterial protein sequences (58%). Bacteriophage (10%) and avian viruses (3%) sequences were also represented. Of all metagenomic clones potentially encoding for bacterial proteins, most were similar to low G+C Gram-positive bacterial proteins, particularly from Lactobacillales (50%), Bacillales (11%), and Clostridiales (8%). Bioinformatic analyses suggested the presence of genes encoding for membrane proteins, lipoproteins, hydrolases, and functional genes associated with the metabolism of nitrogen and sulfur containing compounds. The results from this study further confirmed the predominance of Firmicutes in the avian gut and highlight the value of coupling 16S rRNA gene and metagenomic sequencing data analysis to study the microbial composition of avian fecal microbial communities.     

PCR-generated artefact from 16S rRNA gene-specific primers

Artefacts consisting of concatenated oligonucleotide primer sequences were generated during sub-optimally performing polymerase chain reaction amplification of bacterial 16S rRNA genes using a commonly employed primer pair. These artefacts were observed during amplification for terminal restriction fragment length polymorphism analyses of complex microbial communities, and after amplification from DNA from a microbial culture. Similar repetitive motifs were found in gene sequences deposited in GenBank. The artefact can be avoided by using different primers for the amplification reaction.     

基于16S rRNA和HSP60基因序列分析粘细菌孢囊杆菌亚目形态分类的种属之间的亲缘关系

[目的]利用16S rRNA和HSP60基因分子标记分析鉴定形态分类特征不稳定的粘细菌种属.[方法]利用粘细菌的传统分离纯化方法从土壤中分离粘细菌,根据菌株的形态特征进行分类,PCR方法扩增菌株的16S rRNA和HSP60基因序列并进行系统发育关系分析.[结果]根据形态特征,分离得到的15株粘细菌菌株归入孢囊杆菌亚目(Cystobacterineae)的2个科3个属.其中11株粘细菌具有典型的所在种属的子实体结构,而菌株0085-4、0121-3、NM03和Myx9736的子实体结构发生了不同程度退化.15株粘细菌的16S rRNA基因序列的相似性在95.4%到99.5%之间.而HSP60基因序列差异较大.[结论]在属水平上,粘细菌形态分类特征和16S rRNA基因系统进化关系具有很好的一致性;在揭示粘细菌种间系统发育关系中,HSP60基因序列更为适用.     

Benchmarking of 16S rRNA gene databases using known strain sequences

16S rRNA gene analysis is the most convenient and robust method for microbiome studies. Inaccurate taxonomic assignment of bacterial strains could have deleterious effects as all downstream analyses rely heavily on the accurate assessment of microbial taxonomy. The use of mock communities to check the reliability of the results has been suggested. However, often the mock communities used in most of the studies represent only a small fraction of taxa and are used mostly as validation of sequencing run to estimate sequencing artifacts. Moreover, a large number of databases and tools available for classification and taxonomic assignment of the 16S rRNA gene make it challenging to select the best-suited method for a particular dataset. In the present study, we used authentic and validly published 16S rRNA gene type strain sequences (full length, V3-V4 region) and analyzed them using a widely used QIIME pipeline along with different parameters of OTU clustering and QIIME compatible databases. Data Analysis Measures (DAM) revealed a high discrepancy in ratifying the taxonomy at different taxonomic hierarchies. Beta diversity analysis showed clear segregation of different DAMs. Limited differences were observed in reference data set analysis using partial (V3-V4) and full-length 16S rRNA gene sequences, which signify the reliability of partial 16S rRNA gene sequences in microbiome studies. Our analysis also highlights common discrepancies observed at various taxonomic levels using various methods and databases.     

A Novel Community of Acidophiles in an Acid Mine Drainage Sediment

A sediment sample (pH 2.5) was collected at an acid mine drainage site in Anhui, China. The present acidophilic microbial community in the sediment was studied with a 16S rRNA gene clone library. Small-subunit rRNA genes were PCR amplified, cloned and screened by amplified rDNA restriction analysis (ARDRA). Subsequently, 10 different clones were identified and they were affiliated with Acidobacteria, β/γ-Proteobacteria, δ-Proteobacteria, Nitrospira, Candidate division TM7, and Low G + C Gram-positives. Phylogenetic analysis of 16S rRNA gene sequences revealed a diversity of acidophiles in the sediment that were mostly novel. Unexpectedly, 16S rRNA gene sequences affiliated with δ-Proteobacteria were found to constitute more than 60% of clone library. To our knowledge, this is the first occasion that bacteria of δ-Proteobacteria have been found dominant in the acidic habitat. Anaerobic sulfate- or metal reduction is the predominant physiological trait of bacteria of this subdivision. The high sulfate, ferric iron and the presence of bioavailable carbon in the anaerobic microenvironment may result in the dominance of bacteria of δ-Proteobacteria.     

16S rRNA基因在微生物生态学中的应用

16S rRNA(Small subunit ribosomal RNA)基因是对原核微生物进行系统进化分类研究时最常用的分子标志物(Biomarker),广泛应用于微生物生态学研究中。近些年来随着高通量测序技术及数据分析方法等的不断进步,大量基于16S rRNA基因的研究使得微生物生态学得到了快速发展,然而使用16S rRNA基因作为分子标志物时也存在诸多问题,比如水平基因转移、多拷贝的异质性、基因扩增效率的差异、数据分析方法的选择等,这些问题影响了微生物群落组成和多样性分析时的准确性。对当前使用16S rRNA基因分析微生物群落组成和多样性的进展情况做一总结,重点讨论当前存在的主要问题以及各种分析方法的发展,尤其是与高通量测序技术有关的实验和数据处理问题。     

Design and Experimental Application of a Novel Non-Degenerate Universal Primer Set that Amplifies Prokaryotic 16S rRNA Genes with a Low Possibility to Amplify Eukaryotic rRNA Genes

The deep sequencing of 16S rRNA genes amplified by universal primers has revolutionized our understanding of microbial communities by allowing the characterization of the diversity of the uncultured majority. However, some universal primers also amplify eukaryotic rRNA genes, leading to a decrease in the efficiency of sequencing of prokaryotic 16S rRNA genes with possible mischaracterization of the diversity in the microbial community. In this study, we compared 16S rRNA gene sequences from genome-sequenced strains and identified candidates for non-degenerate universal primers that could be used for the amplification of prokaryotic 16S rRNA genes. The 50 identified candidates were investigated to calculate their coverage for prokaryotic and eukaryotic rRNA genes, including those from uncultured taxa and eukaryotic organelles, and a novel universal primer set, 342F-806R, covering many prokaryotic, but not eukaryotic, rRNA genes was identified. This primer set was validated by the amplification of 16S rRNA genes from a soil metagenomic sample and subsequent pyrosequencing using the Roche 454 platform. The same sample was also used for pyrosequencing of the amplicons by employing a commonly used primer set, 338F-533R, and for shotgun metagenomic sequencing using the Illumina platform. Our comparison of the taxonomic compositions inferred by the three sequencing experiments indicated that the non-degenerate 342F-806R primer set can characterize the taxonomic composition of the microbial community without substantial bias, and is highly expected to be applicable to the analysis of a wide variety of microbial communities.     

Characterization of the genus Bifidobacterium by automated ribotyping and 16S rRNA gene sequences

In order to characterize the genus Bifidobacterium, ribopatterns and approximately 500 bp (Escherichia coli positions 27 to 520) of 16S rRNA gene sequences of 28 type strains and 64 reference strains of the genus Bifidobacterium were determined. Ribopatterns obtained from Bifidobacterium strains were divided into nine clusters (clusters I-IX) with a similarity of 60%. Cluster V, containing 17 species, was further subdivided into 22 subclusters with a similarity of 90%. In the genus Bifidobacterium, four groups were shown according to Miyake et al.: (i) the Bifidobacterium longum infantis-longum-suis type group, (ii) the B. catenulatum-pseudocatenulatum group, (iii) the B. gallinarum-saeculare-pullorum group, and (iv) the B. coryneforme-indicum group, which showed higher than 97% similarity of the 16S rRNA gene sequences in each group. Using ribotyping analysis, unique ribopatterns were obtained from these species, and they could be separated by cluster analysis. Ribopatterns of six B. adolescentis strains were separated into different clusters, and also showed diversity in 16S rRNA gene sequences. B. adolescentis consisted of heterogeneous strains. The nine strains of B. pseudolongum subsp. pseudolongum were divided into five subclusters. Each type strain of B. pseudolongum subsp. pseudolongum and B. pseudolongum subsp. globosum and two intermediate groups, which were suggested by Yaeshima et al., consisted of individual clusters. B. animalis subsp. animalis and B. animalis subsp. lactis could not be separated by ribotyping using Eco RI. We conclude that ribotyping is able to provide another characteristic of Bifidobacterium strains in addition to 16S rRNA gene sequence phylogenetic analysis, and this information suggests that ribotyping analysis is a useful tool for the characterization of Bifidobacterium species in combination with other techniques for taxonomic characterization.     

基于线粒体16S rRNA基因对中国狼蛛科(Lycosidae)系统发育研究

将自测的中国狼蛛科Lycosidae4亚科6属26种和从GenBank中检索到的北美2种豹蛛的mtD-NA-16S rRNA序列进行比较;以漏斗蛛科1种蜘蛛作为外群,对碱基序列的组成和遗传距离进行了分析,采用Bayesian方法和最大简约法(MP)构建分子系统树。研究结果表明:16SrRNA基因的部分序列为340bp到360bp,A T含量平均为75%,存在较强的A T含量偏向性;序列共有157个碱基存在变异,其中79个简约信息位点。狼蛛科各属间的遗传距离介于0.026￣0.200之间。2种建树方法均表明:科内的属及属内的种优先聚在一起;水狼蛛属相对马蛛属是狼蛛科中较为原始的类群,分化较早;獾蛛属作为1个单系群与熊蛛属合为1个并系,属于狼蛛亚科。狼蛛科6属间的分子系统关系为(Pirata(Hippasa(Trochsa Arctosa(Pardosa Wadicosa))))。     

基于16S rRNA基因测序分析微生物群落多样性

微生物群落多样性的研究对于挖掘微生物资源,探索微生物群落功能,阐明微生物群落与生境间的关系具有重要意义。随着宏基因组概念的提出以及测序技术的快速发展,16S rRNA基因测序在微生物群落多样性的研究中已被广泛应用。文中系统地介绍了16S rRNA基因测序分析流程中的四个重要环节,包括测序平台与扩增区的选择、测序数据预处理以及多样性分析方法,就其面临的问题与挑战进行了探讨并对未来的研究方向进行了展望,以期为微生物群落多样性相关研究提供参考。     

Fine-scale vertical distribution of bacteria in the East Pacific deep-sea sediments determined via 16S rRNA gene T-RFLP and clone library analyses

Although the deep-sea sediments harbor diverse and novel bacteria with important ecological and environmental functions, a comprehensive view of their community characteristics is still lacking, considering the vast area and volume of the deep-sea sedimentary environments. Sediment bacteria vertical distribution and community structure were studied of the E272 site in the East Pacific Ocean with the molecular methods of 16S rRNA gene T-RFLP (terminal restriction fragment length polymorphism) and clone library analyses. Layered distribution of the bacterial assemblages was detected by both methods, indicating that the shallow sediments (40 cm in depth) harbored a diverse and distinct bacterial composition with fine-scale spatial heterogeneity. Substantial bacterial diversity was detected and nine major bacterial lineages were obtained, including Acidobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, Nitrospirae, Planctomycetes, Proteobacteria, and the candidate divisions OP8 and TM6. Three subdivisions of the Proteobacteria presented in our libraries, including the α-, γ- and δ-Proteobacteria. Most of our sequences have low similarity with known bacterial 16S rRNA genes, indicating that these sequences may represent as-yet-uncultivated novel bacteria. Most of our sequences were related to the GenBank nearest neighboring sequences retrieved from marine sediments, especially from deep-sea methane seep, gas hydrate or mud volcano environments. Several sequences were related to the sequences recovered from the deep-sea hydrothermal vent or basalt glasses-bearing sediments, indicating that our deep-sea sampling site might be influenced to certain degree by the nearby hydrothermal field of the East Pacific Rise at 13°N. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Assessment of fecal pollution sources in a small northern-plains watershed using PCR and phylogenetic analyses of Bacteroidetes 16S rRNA gene

We evaluated the efficacy, sensitivity, host-specificity, and spatial/temporal dynamics of human- and ruminant-specific 16S rRNA gene Bacteroidetes markers used to assess the sources of fecal pollution in a fecally impacted watershed. Phylogenetic analyses of 1271 fecal and environmental 16S rRNA gene clones were also performed to study the diversity of Bacteroidetes in this watershed. The host-specific assays indicated that ruminant feces were present in 28-54% of the water samples and in all sampling seasons, with increasing frequency in downstream sites. The human-targeted assays indicated that only 3-5% of the water samples were positive for human fecal signals, although a higher percentage of human-associated signals (19-24%) were detected in sediment samples. Phylogenetic analysis indicated that 57% of all water clones clustered with yet-to-be-cultured Bacteroidetes species associated with sequences obtained from ruminant feces, further supporting the prevalence of ruminant contamination in this watershed. However, since several clusters contained sequences from multiple sources, future studies need to consider the potential cosmopolitan nature of these bacterial populations when assessing fecal pollution sources using Bacteroidetes markers. Moreover, additional data is needed in order to understand the distribution of Bacteroidetes host-specific markers and their relationship to water quality regulatory standards.     

Bacterial diversity based on 16S rRNA and gyrB genes at Yinshan mine, China

The diversity of bacterial communities at three sites impacted by acid mine drainage (AMD) from the Yinshan Mine in China was studied using comparative sequence analysis of two molecular markers, the 16S rRNA and gyrB genes. The phylogenetic analyses retrieved sequences from six classes of bacteria, Nitrospira, Alphaproteobacteria, Gammaproteobacteria, Deltaproteobacteria, Acidobacteria, and Actinobacteria, as well as sequences related to the plastid of the cyanobacterium Cyanidium acidocaldarium and also some unknown bacteria. The results of phylogenetic analyses based on gyrB and 16S rRNA were compared. This confirmed that gyrB gene analysis may be a useful tool, in addition to the comparative sequence analysis of the 16S rRNA gene, for the analysis of microbial community compositions. Moreover, the Mantel test showed that the geochemical characteristics, especially the pH value and the concentration of iron, strongly influenced the composition of the microbial communities.     

Effect of sample handling on estimation of bacterial diversity in marine sediments by 16S rRNA gene sequence analysis

Abstract The diversity of bacterial communities in deep marine sediments, up to 503 metres below the sea floor of the Japan Sea, was investigated by sequence analysis of amplified 16S rRNA genes. The use of different sample handling procedures greatly affected the types and diversity of sequences obtained. DNA from sediment samples stored aerobically for up to 24 h before freezing was dominated by sequences belonging to the β- and γ-proteobacteria, many of which appeared to originate from aerobic bacteria. Sub-samples equilibrated anaerobically at 16°C, were then injected with a radiotracer and immediately frozen, to simulate the conditions of a typical control sample from a radiotracer based activity assay, contained mostly α-proteobacterial sequences. Pristine sediment samples taken anaerobically and frozen within 2 h contained the widest diversity of sequences from α-, γ-, δ-proteobacteria and Gram-positive bacteria, which appeared to have originated from predominantly anaerobic or facultative bacteria. It was clear that both samples that were not frozen immediately (within 2 h) showed signs of enrichment of specific bacterial groups. Our results strongly suggest that immediate freezing should always be employed when sediment samples are to be used to assess bacterial diversity by molecular methods.     

三线闭壳龟18SrRNA基因序列的测定

用分子遗传标记进行物种鉴别准确可靠,本文应用18SrRNA序列测定研究中药材三线闭壳龟的进化与种类鉴定.应用PCR直接测序技术测定三线闭壳龟肌肉18srRNA基因部分核苷酸序列.结果表明,所测序列为678bp,其中GC占多数(54.1%).讨论了DNA测序技术在龟鳖类等中药材鉴定方面的应用.     

新疆艾比湖嗜盐菌的细菌视紫红质和16S rRNA基因序列的研究

为了研究分析嗜盐古生菌物种与细菌视紫红质(BR)蛋白基因资源,从40份土壤、湖水及淤泥样品中分离出148株嗜盐菌,对其中6株菌采用聚合酶链式反应(PCR)方法对其编码螺旋C至螺旋G的蛋白基因片段和16SrRNA基因进行了扩增,并测定了基因的核苷酸序列。与已报道的相应片段进行对比,ABDH10,ABDH1I和ABDH40中的螺旋C至螺旋G的蛋白与其他菌株差异显著。基于16SrRNA序列的同源性比较以及系统发育学研究表明,ABDH10和ABDH40是Natronorubrum属下的新成员和Natrinema属下的新成员,ABDH40的16SrRNA序列已登录到GenBank,其序列号为AY989910。ABDH11中的螺旋C至螺旋G的蛋白与其他菌株差异显著。     

Specific detection of different phylogenetic groups of chemocline bacteria based on PCR and denaturing gradient gel electrophoresis of 16S rRNA gene fragments

Specific amplification of 16S rRNA gene fragments in combination with denaturing gradient gel electrophoresis (DGGE) was used to generate fingerprints of Chromatiaceae, green sulfur bacteria, Desulfovibrionaceae, and β-Proteobacteria. Sequencing of the gene fragments confirmed that each primer pair was highly specific for the respective phylogenetic group. Applying the new primer sets, the bacterial diversity in the chemoclines of a eutrophic freshwater lake, a saline meromictic lake, and a laminated marine sediment was investigated. Compared to a conventional bacterial primer pair, a higher number of discrete DGGE bands was generated using our specific primer pairs. With one exception, all 15 bands tested yielded reliable 16S rRNA gene sequences. The highest diversity was found within the chemocline microbial community of the eutrophic freshwater lake. Sequence comparison revealed that the six sequences of Chromatiaceae and green sulfur bacteria detected in this habitat all represent distinct and previously unknown phylotypes. The lowest diversity of phylotypes was detected in the chemocline of the meromictic saline lake, which yielded only one sequence each of the Chromatiaceae, β-2-Proteobacteria, and Desulfovibrionaceae, and no sequences of green sulfur bacteria. The newly developed primer sets are useful for the detection of previously unknown phylotypes, for the comparison of the microbial diversity between different natural habitats, and especially for the rapid monitoring of enrichments of unknown bacterial species. Received: 22 January 1999 / Accepted: 28 April 1999