空气环境中几种细菌检测与16S rRNA测序鉴定

采集空气环境微生物,根据菌落和革兰氏染色特征,分离5株细菌。提取分离株DNA,采用设计的16SrRNA引物扩增DNA片段;纯化PCR产物,进行测序反应并再纯化,上机读序。拼接与校对DNA序列,在NCBI网站进行Blast,鉴定细菌型别。5株菌株分别是表皮葡萄球菌、头状葡萄球菌、施氏假单胞菌、溶血葡萄球菌和大肠杆菌;其中溶血葡萄球菌是致病菌,其他4株是条件致病菌。这提示,应警惕空气环境中致病菌的感染。     

PCR反应条件对16S rRNA基因扩增子测序准确性的影响

【背景】16S rRNA基因扩增子测序技术是一种不依赖培养而获得样本中细菌种群结构、相对丰度等信息的方法。高通量测序技术实验步骤较多,每一步骤细微的差别都可能在最终的测序结果中放大,并造成测序结果与实际情况的偏差。【目的】基于MiSeq测序平台,探讨PCR反应体系中扩增引物序列、退火温度、模板起始量、扩增循环数和变性时间等5个因素对16S rRNA基因测序结果的影响。【方法】对mock DNA的16S rRNA基因扩增子进行测序,分别分析不同的扩增引物、退火温度、模板起始量、循环数和变性时间对数据准确性的影响。【结果】不同的扩增引物对检测结果有较大的影响,采用的4组引物中,引物B (V3–V4,341F/806R)的准确性最好,引物A(V3–V4,341F/805R)次之。比较不同退火温度(52、55和60℃)对检测准确性的影响,退火温度60℃的结果最接近理论值。模板起始量(2、10和50 ng)的检测结果显示,mock DNA起始量为2ng的结果准确性最高。相较于其他3组(15+18、25+8和30+8),循环数为(20+8)的检测结果最接近mock DNA的理论值。不同变性时间(3...     

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。     

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.     

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.     

嗜盐菌HBCC-2的16S rRNA基因测序分析及其培养特性

从连云港台南盐场海盐生产区中分离纯化到一株嗜盐古菌HBCC-2,该菌株经PCR扩增后,测定其16S rRNA基因序列,采用BLAST软件对基因库中基因序列进行同源性比较,选取其相似性序列,采用Clustalx1.8和MEGA3.1软件对其16S rDNA序列进行了系统发育分析研究,结果表明HBCC-2菌株与菌株Halorubrum sp.GSL5.48的相似性达99%,结合其形态观察及生理生化反应特性,初步确定该菌株属于嗜盐红菌属(Halorubrum),菌株HBCC-2的16S rDNA序列已登陆到GenBank,其序列号为EF687739.通过比较不同NaCl浓度、pH和培养温度对该菌株生长的影响情况,研究了该菌株的生长特性,结果表明NaCl浓度为4mol/L、温度为35℃和pH为7.0的培养条件下其生长最佳.     

Phylogenetic analysis of the family Rhizobiaceae and related bacteria by sequencing of 16S rRNA gene using PCR and DNA sequencer

Abstract The 16S rRNA gene sequences of 19 strains covering 97% of the molecules were determined for the members of the family Rhizobiaceae and related bacteria by PCR and DNA sequencer. The three biovars of Agrobacterium were located separately, whereas Agrobacterium rubi clustered with A. tumefaciens . Phylogenetic locations for the species of the genera Rhizobium, Sinorhizobium, Agrobacterium, Phylobacterium, Mycoplana (M. dimorpha), Ochrobactrum, Brucella and Rochalimaea (a rickettsia) were intermingled with each other with the similarity values higher than 92%. The family Rhizobiaceae should be redefined including the above-mentioned genera despite the ability for plant association and nitrogen fixation. Bradyrhizobium japonicum and Mycoplana bullata were far remote from the other species and should be excluded from this family.     

菌群16S rRNA基因测序的聚类分析方法研究进展

16S核糖体RNA（16S rRNA）基因测序是微生物分析的重要手段。16S rRNA基因测序的原始数据复杂,存在许多误差,分析前一般需要先进行序列质量控制,即对数据进行去噪、去冗余和去嵌合,最终将质量控制后的数据分为可操作分类单元（OTU）或ASV,在OTU或ASV基础上再进行菌群的各种分析。经过多年改进,聚类方法逐渐以UPARSE、DADA2、Deblur和UNOISE3等为主流,OTU聚类已经不能满足研究的需求,而ASV聚类使得菌群分析更加准确。本文除了综述聚类方法的研究进展外,还介绍了USEARCH、MOTHUR和QIIME等多种16S基因测序分析工具软件的相关研究进展。

     

Detection of Laribacter hongkongensis using species-specific duplex PCR assays targeting the 16S rRNA gene and the 16S-23S rRNA intergenic spacer region (ISR)

Aims: For the rapid detection of Laribacter hongkongensis, which is associated with human community‐acquired gastroenteritis and traveller’s diarrhoea, we developed a duplex species‐specific PCR assay. Methods and Results: Full‐length of the 16S–23S rRNA intergenic spacer region (ISR) sequences of 52 L. hongkongensis isolates were obtained by PCR‐based sequencing. Two species‐specific primer pairs targeting 16S rRNA gene and ISR were designed for duplex PCR detection of L. hongkongensis. The L. hongkongensis species‐specific duplex PCR assay showed 100% specificity, and the minimum detectable level was 2·1 × 10^?2 ng μl^?1 genomic DNA which corresponds to 5000 CFU ml^?1. Conclusions: The high specificity and sensitivity of the assay make it suitable for rapid detection of L. hongkongensis. Significance and Impact of the Study: This species‐specific duplex PCR method provides a rapid, simple, and reliable alternative to conventional methods to identify L. hongkongensis and may have applications in both clinical and environmental microbiology.     

Analysis of bacterial and archaeal diversity in coastal microbial mats using massive parallel 16S rRNA gene tag sequencing

Coastal microbial mats are small-scale and largely closed ecosystems in which a plethora of different functional groups of microorganisms are responsible for the biogeochemical cycling of the elements. Coastal microbial mats play an important role in coastal protection and morphodynamics through stabilization of the sediments and by initiating the development of salt-marshes. Little is known about the bacterial and especially archaeal diversity and how it contributes to the ecological functioning of coastal microbial mats. Here, we analyzed three different types of coastal microbial mats that are located along a tidal gradient and can be characterized as marine (ST2), brackish (ST3) and freshwater (ST3) systems. The mats were sampled during three different seasons and subjected to massive parallel tag sequencing of the V6 region of the 16S rRNA genes of Bacteria and Archaea. Sequence analysis revealed that the mats are among the most diverse marine ecosystems studied so far and consist of several novel taxonomic levels ranging from classes to species. The diversity between the different mat types was far more pronounced than the changes between the different seasons at one location. The archaeal community for these mats have not been studied before and revealed a strong reaction on a short period of draught during summer resulting in a massive increase in halobacterial sequences, whereas the bacterial community was barely affected. We concluded that the community composition and the microbial diversity were intrinsic of the mat type and depend on the location along the tidal gradient indicating a relation with salinity.     

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。     

16s rRNA基因克隆文库分析比较牙周炎患者和健康人口腔唾液微生物多样性

【目的】通过对同一地区、同一民族牙周炎患者和健康人的唾液微生物群落结构的分析,探寻牙周炎患者口腔微生物的多样性。【方法】采集甘肃东乡族自治县的东乡族牙周炎患者和健康人唾液各5例,分别记作DP(东乡牙周)和DH(东乡健康),提取细菌总DNA,构建16S r RNA基因克隆文库,测序后利用MOTHUR、MEGA 4.0、Clustal X 3.0等软件对测序结果进行分析。【结果】所有样本共检测出115个OTUs(DP 60,DH 75),归属于6个门,27个属。TM7是DP组特有的优势菌门。仅在DP组中检测到的优势菌属是梭菌属(Fusobacterium)、卟啉单胞菌属(Porphyromonas)、消化链球菌属(Peptostreptococcus)和TM7_genera。【结论】发现牙周炎患者与健康人口腔唾液微生物存在一定差异。其中,TM7、梭菌属和消化链球菌属在牙周病中的作用值得进一步研究。     

16S rRNA gene sequencing on a benchtop sequencer: accuracy for identification of clinically important bacteria

Aims

Test the choice of 16S rRNA gene amplicon and data analysis method on the accuracy of identification of clinically important bacteria utilizing a benchtop sequencer.

Methods and Results

Nine 16S rRNA amplicons were tested on an Ion Torrent PGM to identify 41 strains of clinical importance. The V1–V2 region identified 40 of 41 isolates to the species level. Three data analysis methods were tested, finding that the Ribosomal Database Project's SequenceMatch outperformed BLAST and the Ion Reporter Metagenomics analysis pipeline. Lastly, 16S rRNA gene sequencing mixtures of four species through a six log range of dilution showed species were identifiable even when present as 0·1% of the mixture.

Conclusions

Sequencing the V1–V2 16S rRNA gene region, made possible by the increased read length Ion Torrent PGM sequencer's 400 base pair chemistry, may be a better choice over other commonly used regions for identifying clinically important bacteria. In addition, the SequenceMatch algorithm, freely available from the Ribosomal Database Project, is a good choice for matching filtered reads to organisms. Lastly, 16S rRNA gene sequencing's sensitivity to the presence of a bacterial species at 0·1% of a mixture suggests it has sufficient sensitivity for samples in which important bacteria may be rare.

Significance and Impact of the Study

We have validated 16S rRNA gene sequencing on a benchtop sequencer including simple mixtures of organisms; however, our results highlight deficits for clinical application in place of current identification methods.     

DNA extraction for 16S rRNA gene analysis to determine genetic diversity in deep sediment communities

A protocol was devised which permitted the extraction of DNA from deep marine sediments up to 503 m below the sea floor. These sediments have been laid down over the last 3 million years. 16S rRNA gene sequences were amplified from the DNA by the polymerase chain reaction. The details of the successful extraction and polymerase chain reaction methodology varied between samples from different depths. This emphasizes the attention to detail required to allow the diversity of bacteria in these deep sediments to be studied.     

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.     

Windows下16S rRNA基因扩增子测序数据分析的简易流程

微生物组数据分析需要掌握Linux系统操作,这对缺乏计算机知识的生物研究人员是一个很大的障碍。为此我们设计了一套在Windows的Linux子系统(WSL)下分析16S rRNA基因扩增子高通量测序数据的简易流程。本流程整合常用的开源软件VSEARCH与QIIME等,能对16S rRNA测序数据进行质量控制、OTU聚类、多样性分析及结果可视化呈现。以唾液微生物组分析为例,详细介绍从原始数据到多样性统计分析过程的参数和命令,及结果解读。教学实践证明,此流程易于学习,并有助于掌握微生物组的基本概念与方法。利用Windows系统最新的WSL功能,本流程方便Windows用户使用大量在Linux上运行的生物信息工具,有助于促进微生物组研究的发展。流程的安装程序与测序数据可从网址(http://www. ligene. cn/win16s/)免费下载使用。     

A Brevibacterium lactofermentum 16S rRNA gene used as target site for homologous recombination

Genes for rRNA are highly conserved and present in multiple copies in most prokaryotic organisms increasing the number of theoretical sites for homologous recombination. They might be targets for integration events between unrelated microorganisms providing that an efficient genetic transfer is present. We have used a plasmid containing a portion of the 16S rRNA gene from the rrnD operon of Brevibacterium lactofermentum to transform the same strain resulting in non-essential inactivation of various rrn operons. Integration of the transforming DNA occurs in all cases. The system may be used to test possible gene transfer at least among closely related strains and is of great interest for integration of foreign DNA and for mapping.