Quantitative comparisons of 16S rRNA gene sequence libraries from environmental samples

To determine the significance of differences between clonal libraries of environmental rRNA gene sequences, differences between homologous coverage curves, CX(D), and heterologous coverage curves, CXY(D), were calculated by a Cramér-von Mises-type statistic and compared by a Monte Carlo test procedure. This method successfully distinguished rRNA gene sequence libraries from soil and bioreactors and correctly failed to find differences between libraries of the same composition.     

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。     

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。     

Aquatic microbial diversity associated with faecal pollution of Norwegian waterbodies characterized by 16S rRNA gene amplicon deep sequencing

Faecal contamination is one of the major factors affecting biological water quality. In this study, we investigated microbial taxonomic diversity of faecally polluted lotic ecosystems in Norway. These ecosystems comprise tributaries of drinking water reservoirs with moderate and high faecal contamination levels, an urban creek exposed to extremely high faecal pollution and a rural creek that was the least faecally polluted. The faecal water contamination had both anthropogenic and zoogenic origins identified through quantitative microbial source tracking applying host-specific Bacteroidales 16S rRNA genetic markers. The microbial community composition revealed that Proteobacteria and Bacteroidetes (70–90% relative abundance) were the most dominant bacterial phyla, followed by Firmicutes, especially in waters exposed to anthropogenic faecal contamination. The core archaeal community consisted of Parvarchaeota (mainly in the tributaries of drinking water reservoirs) and Crenarchaeota (in the rural creek). The aquatic microbial diversity was substantially reduced in water with severe faecal contamination. In addition, the community compositions diverge between waters with dominant anthropogenic or zoogenic pollution origins. These findings present novel interpretations of the effect of anthropo-zoogenic faecal water contamination on microbial diversity in lotic ecosystems.     

Correlation of rRNA gene amplicon pyrosequencing and bacterial culture for microbial compositional analysis of faecal samples from elderly Irish subjects

Aims: The aim of this investigation was to establish the degree of correlation between measurements from culture‐dependent microbiological techniques and from next generation sequencing technologies. Methods and Results: Data generated by both techniques were collected from faecal samples from 185 elderly Irish people involved in the ongoing ELDERMET study ( http://eldermet.ucc.ie ). The results for three groups of intestinal bacteria were compared. Bifidobacterium sp., Lactobacillus sp. and Enterobacteriaceae were enumerated on selective media through culture‐dependent techniques, whereas proportions of these bacteria were determined through sequencing technology against the background of other bacteria. The Spearman’s rank correlation coefficient determined a good correlation between results from culture‐dependent microbiology and culture‐independent techniques for all three bacterial groups assessed (correlation coefficients for Bifidobacterium sp., Lactobacillus sp. and Enterobacteriaceae were 0·380, 0·366 and 0·437, respectively). Conclusion: Correlation between the two methods implies that a single method is capable of profiling intestinal Bifidobacterium, Lactobacillus and Enterobacteriaceae populations. However, both methods have advantages that justify their use in tandem. Significance and Impact of the Study: This is the first extensive study to compare bacterial counts from culture‐dependent microbiological techniques and from next generation sequencing technologies.     

一种新的定量16S rRNA基因扩增子测序方法

近年来,16S扩增子测序技术被广泛应用于肠道微生物菌群结构和多样性研究,同时也常被用于临床样本中未知病原菌的检测。然而其对样本中物种组成的分辨率只能到属水平的相对丰度,且实验过程中多种因素皆可对结果产生一定影响,如样本起始浓度、PCR循环数、扩增引物等。为解决以上问题,本研究采用随机标签和内参法相结合的方法,开发了一套定量16S扩增子测序方法,将常规的16S rRNA编码基因测序结果中的相对丰度转化为绝对定量的拷贝数,有效提高了肠道菌群结构检测的精准性,降低了实验操作对结果的影响,也提高了测序与其他分子生物学方法间的可比性,有利于未来技术的进一步研发和改进。     

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...     

Direct identification of bacteria in clinical respiratory samples using fluorescent amplicon length analysis of 16S-23S rRNA spacer-region

We describe the development and application of a rapid and universal molecular technique for direct identification of multiple bacteria in clinical samples. Amplification of the 16S-23S rRNA spacer-region using universal primers led to fragment patterns distinct for different bacterial species and that were analyzed with fluorescent amplicon length analysis (FALA). 136 pure cultures of clinical isolates and 20 culture collection strains belonging to 22 different medically important species were used to create a primary database of fragments with sizes between 100 and 1000 bp. Subsequently, 127 respiratory samples were analyzed with culture-based techniques and via FALA of the 16S-23S rRNA spacer-region. Two DNA extraction methods were evaluated: Instagene (FALA-I) and Fastprept (FALA-P). Of the 127 samples, 26 culture-negative samples were also negative with FALA-P. Of 18 samples with growth of commensal oral flora, 10 gave a mixed oral flora pattern with FALA-P and 8 gave a negative result. For 54 samples with growth of a single bacterial species, FALA-P gave an identical result for 46. For 29 samples with growth of more than one bacterial species, identical results were obtained in 19 samples. False-negative results with FALA-P were mostly due to paucity (less than 10(3) CFU/ml) of bacteria (12 out of 18 false-negatives) or difficulties with homogenization of viscous samples (6 out of 18 false-negatives).With regard to identification of all significant pathogens of clinical samples tested, the sensitivity of FALA-P was 77% and its specificity was 100%. With FALA-I, the number of false-negative results was higher than with FALA-P due to less efficient extraction of DNA, particularly with Staphylococcal species. FALA-P allows rapid and direct identification of multiple species directly from clinical samples; pauci-cellular samples may give false-negative results.     

RiboFR-Seq: a novel approach to linking 16S rRNA amplicon profiles to metagenomes

16S rRNA amplicon analysis and shotgun metagenome sequencing are two main culture-independent strategies to explore the genetic landscape of various microbial communities. Recently, numerous studies have employed these two approaches together, but downstream data analyses were performed separately, which always generated incongruent or conflict signals on both taxonomic and functional classifications. Here we propose a novel approach, RiboFR-Seq (Ribosomal RNA gene flanking region sequencing), for capturing both ribosomal RNA variable regions and their flanking protein-coding genes simultaneously. Through extensive testing on clonal bacterial strain, salivary microbiome and bacterial epibionts of marine kelp, we demonstrated that RiboFR-Seq could detect the vast majority of bacteria not only in well-studied microbiomes but also in novel communities with limited reference genomes. Combined with classical amplicon sequencing and shotgun metagenome sequencing, RiboFR-Seq can link the annotations of 16S rRNA and metagenomic contigs to make a consensus classification. By recognizing almost all 16S rRNA copies, the RiboFR-seq approach can effectively reduce the taxonomic abundance bias resulted from 16S rRNA copy number variation. We believe that RiboFR-Seq, which provides an integrated view of 16S rRNA profiles and metagenomes, will help us better understand diverse microbial communities.     

rpoB-based microbial community analysis avoids limitations inherent in 16S rRNA gene intraspecies heterogeneity

Contemporary microbial community analysis frequently involves PCR-amplified sequences of the 16S rRNA gene (rDNA). However, this technology carries the inherent problem of heterogeneity between copies of the 16S rDNA in many species. As an alternative to 16S rDNA sequences in community analysis, we employed the gene for the RNA polymerase beta subunit (rpoB), which appears to exist in one copy only in bacteria. In the present study, the frequency of 16S rDNA heterogeneity in bacteria isolated from the marine environment was assessed using bacterial isolates from the red alga Delisea pulchra and from the surface of a marine rock. Ten strains commonly used in our laboratory were also assessed for the degree of heterogeneity between the copies of 16S rDNA and were used to illustrate the effect of this heterogeneity on microbial community pattern analysis. The rock isolates and the laboratory strains were also used to confirm nonheterogeneity of rpoB, as well as to investigate the versatility of the primers. In addition, a comparison between 16S rDNA and rpoB PCR-DGGE (denaturing gradient gel electrophoresis)-based community analyses was performed using a DNA mixture of nine isolates from D. pulchra. Eight out of 14 isolates from D. pulchra, all rock isolates, and 6 of 10 laboratory strains displayed multiple bands for 16S rDNA when analyzed by DGGE. There was no indication of heterogeneity for either the rock isolates or the laboratory strains when rpoB was used for PCR-DGGE analysis. Microbial community pattern analysis using 16S rDNA PCR-DGGE showed an overestimation of the number of laboratory strains in the sample, while some strains were not represented. Therefore, the 16S rDNA PCR-DGGE-based community analysis was proven to be severely limited by 16S rDNA heterogeneity. The mixture of isolates from D. pulchra proved to be more accurately described using rpoB, compared to the 16S rDNA-based PCR-DGGE.     

Uncultured bacterial diversity in a seawater recirculating aquaculture system revealed by 16S rRNA gene amplicon sequencing

Bacterial diversity in a seawater recirculating aquaculture system (RAS) was investigated using 16S rRNA amplicon sequencing to understand the roles of bacterial communities in the system. The RAS was operated at nine different combinations of temperature (15°C, 20°C, and 25°C) and salinity (20‰, 25‰, and 32.5‰). Samples were collected from five or six RAS tanks (biofilters) for each condition. Fifty samples were analyzed. Proteobacteria and Bacteroidetes were most common (sum of both phyla: 67.2% to 99.4%) and were inversely proportional to each other. Bacteria that were present at an average of ≥ 1% included Actinobacteria (2.9%) Planctomycetes (2.0%), Nitrospirae (1.5%), and Acidobacteria (1.0%); they were preferentially present in packed bed biofilters, mesh biofilters, and maturation biofilters. The three biofilters showed higher diversity than other RAS tanks (aerated biofilters, floating bed biofilters, and fish tanks) from phylum to operational taxonomic unit (OTU) level. Samples were clustered into several groups based on the bacterial communities. Major taxonomic groups related to family Rhodobacteraceae and Flavobacteriaceae were distributed widely in the samples. Several taxonomic groups like [Saprospiraceae], Cytophagaceae, Octadecabacter, and Marivita showed a cluster-oriented distribution. Phaeobacter and Sediminicola-related reads were detected frequently and abundantly at low temperature. Nitrifying bacteria were detected frequently and abundantly in the three biofilters. Phylogenetic analysis of the nitrifying bacteria showed several similar OTUs were observed widely through the biofilters. The diverse bacterial communities and the minor taxonomic groups, except for Proteobacteria and Bacteroidetes, seemed to play important roles and seemed necessary for nitrifying activity in the RAS, especially in packed bed biofilters, mesh biofilters, and maturation biofilters.     

16S rRNA gene profiling of rhizospheric microbial community of Eichhornia crassipes

Molecular Biology Reports - The rhizosphere of a plant is an important interface for the plant-microbe interaction that plays a significant role in the uptake and removal of heavy metal from...     

Comparative analysis of chicken cecal microbial diversity and taxonomic composition in response to dietary variation using 16S rRNA amplicon sequencing

Molecular Biology Reports - Antibiotic resistance poses a grave threat to One-Health. By replacing antibiotics with non-antibiotic additives (are alternatives to antibiotics, ATAs) like phytogenic...     

Composition of the oil-slime microbial community as determined by analysis of the 16S rRNA gene

Analysis of the 16S rRNA genes of the cultured microorganisms of industrial oil-slime revealed predominance (～85–90%) of the Gammaproteobacteria in the community of aerobic heterotrophs and specific oil-slime degraders. Relation of the isolated strains with members of the genera Pseudomonas, Stenotrophomonas, and Enterobacter was established. Analysis of the same gene in the total DNA from the oil-slime revealed greater microbial diversity (～20 operative taxonomic units determined by T-RFLP) than in the cultured part of the community, which included ～12 different colony types. Three major restriction fragments were found, with their total area ～50%. These results demonstrated the low morphological and phylogenetic diversity of the oil-slime bacterial community.