Bacterial,archaeal and eukaryotic diversity in Arctic sediment as revealed by 16S rRNA and 18S rRNA gene clone libraries analysis

We studied the microbial diversity in the sediment from the Kongsfjorden, Svalbard, Arctic, in the summer of 2005 based on the analysis of 16S rRNA and 18S rRNA gene clone libraries. The sequences of the cloned 16S rRNA and 18S rRNA gene inserts were used to determine the species identity or closest relatives by comparison with sequences of known species. Compared to the other samples acquired in Arctic and Antarctic, which are different from that of ours, the microbial diversity in our sediment is much higher. The bacterial sequences were grouped into 11 major lineages of the domain Bacteria: Proteobacteria (include α-, β-, γ-, δ-, and ε-Proteobacteria); Bacteroidetes; Fusobacteria; Firmicutes; Chloroflexi; Chlamydiae; Acidobacteria; Actinobacteria; Planctomycetes; Verrucomicrobiae and Lentisphaerae. Crenarchaeota were dominant in the archaeal clones containing inserts. In addition, six groups from eukaryotes including Cercozoa, Fungi, Telonema, Stramenopiles, Alveolata, and Metazoa were identified. Remarkably, the novel group Lentisphaerae was reported in Arctic sediment at the first time. Our study suggested that Arctic sediment as a unique habitat may contain substantial microbial diversity and novel species will be discovered.     

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.     

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.     

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.     

纳豆芽胞杆菌16S rRNA基因的克隆及其系统进化分析

纳豆芽胞杆菌是从豆豉中分离出的一种具有益生功能的芽胞杆菌。该研究从纳豆芽胞杆菌提取基因组DNA,以芽胞杆菌16S rRNA基因的通用引物,用PCR方法成功扩增出纳豆芽胞杆菌的部分16S rRNA基因,所克隆序列长1 435 bp,G＋C含量为55%,该序列已被GeneBank收录,其编号为AY864812。BLAST分析结果显示,AY864812与GeneBank中收录的枯草芽胞杆菌16S rRNA基因同源性最高,其中与AY601722的同源性为100%.用Clustalx 1.8对相关序列进行系统进化分析,结果显示纳豆芽胞杆菌与枯草芽胞杆菌在进化关系上的地位最近,从分子水平上证实了纳豆芽胞杆菌是枯草杆菌的1个亚种。     

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。     

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.     

一株耐热嗜盐菌的分离及16SrRNA基因序列分析

目的利用盐固体分离培养基,从西藏自治区澜沧江边康宁镇一个47℃的盐井样品中分离纯化到一株耐热嗜盐菌菌株YJ0232。方法通过形态观察、生理生化特性和16srRNA基因序列分析,鉴定嗜盐菌菌株YJ0232分类学地位。结果菌株YJ0232初步鉴定为中度嗜盐菌,属于盐单胞菌属（Halomonassp．）菌株。其16SrRNA基因序列已被GenBank数据库收录,序列号为EU029645。结论本研究对澜沧江高盐环境微生物资源进行了初步探索研究。可为今后研究同类极端环境中新的物种资源以及微生物多样性提供参考。     

Application, eco-physiology and biodiversity of anaerobic ammonium-oxidizing bacteria

The demand for new and sustainable systems for nitrogen removal has increased dramatically in the last decade. It is clear that the conventional systems cannot deal with the increasing nitrogen loads in a cost effective way. As an alternative, the implementation of the anammox (anaerobic ammonium oxidation) process in the treatment of wastewater with high ammonium concentrations has been started. The compact anammox reactors can sustain high nitrogen loads without any problems. The highest observed anammox capacity is 8.9 kg N removed m^-3 reactor day^-1. The first 75 m³ anammox reactor is operating in Rotterdam, the Netherlands, combined with the partial nitrification process Single reaction system for High Ammonium Removal Over Nitrite (SHARON). Partial nitrification and anammox can also be combined in one reactor systems like Completely Autotrophic Nitrogen removal Over Nitrite (CANON) or Oxygen Limited Ammonium removal via Nitrification Denitrification (OLAND) where aerobic ammonium-oxidizing bacteria (AOB) and anammox bacteria cooperate under oxygen-limitation. These systems remove about 1.5 kg N m^-3 reactor day^-1. In addition to ammonium, urea can also be converted in the CANON system after a two-week adaptation period. The ecophysiological properties of the anammox bacteria make them very well suited to convert ammonium and nitrite. The K_s values for ammonium and nitrite are below 5 M. However, nitrite above 10 mM is detrimental for the anammox process, and oxygen reversibly inhibits the process at concentrations as low as 1 M. Acetate and propionate can be used by the anammox bacteria to convert nitrite and nitrate, whereas methanol and ethanol severely inhibit the anammox reaction. The enzyme hydroxylamine/hydrazine oxidoreductase (HAO), one of the key enzymes, is located in the anammoxosome, which is a membrane bound organelle. The membranes of the anammox bacteria contain unique ladderane lipids and hopanoids. The bacteria responsible for the anammox reaction are related to the Planctomycetes. The first anammox bacteria were isolated via Percoll centrifugation and characterized as Candidatus Brocadia anammoxidans. Survey of different wastewater treatment plants using anammox specific 16S rRNA gene primers and anammox specific oligonucleotide probes has revealed the presence of at least three other anammox bacteria, which have been tentatively named Candidatus Kuenenia stuttgartiensis, Candidatus Scalindua wagneri and Candidatus Scalindua brodae. A close relative of the latter, Candidatus Scalindua sorokinii was found to be responsible for about 50% of the nitrogen conversion in the anoxic zone of the Black Sea, making the anammox bacteria an important player in the oceanic nitrogen cycle.     

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。     

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.     

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.     

基于12S和16S rRNA序列的湍蛙属部分物种的系统发育关系

测定了湍蛙属 6个种共 10个种群 ,以及 4个外群种的线粒体 12S和 16SrRNA基因片段 ,比对后有94 0bp序列 ,发现 35 2个变异位点、 186个简约性位点。运用NJ法、MP法、ML法构建了系统关系树 ,各系统树一致表明内群为一单系群 ,分为两组 :第一组中 ,四川湍蛙两种群先聚合 ,再和棕点湍蛙聚为一支 ;第二组中 ,香港湍蛙和戴云湍蛙聚为一支 ,而香港大屿山离岛湍蛙种群首先与华南湍蛙相聚 ,再与武夷湍蛙构成姐妹支。研究结果表明 :香港地区增加 1种湍蛙分布 ;戴云湍蛙是一有效种 ;四川湍蛙的石棉和洪雅种群间遗传差异达到或超过其他种间的分歧水平。     

基于16S rRNA基因序列分析受砷和硫酸盐污染的土壤细菌多样性（英文稿）

为了了解普通耕地土壤(Nor-1)和受砷及硫酸盐污染土壤(Sul-1)中的细菌组成和多样性差异,对2个不同土壤样品直接提取总DNA,通过PCR扩增16S rRNA基因并建立文库,对文库克隆进行核糖体DNA扩增片段酶切分析(ARDRA)和测序,构建系统进化树。从Nor-1土壤样品中测序获得23个16S rRNA基因序列,分析序列系统发育关系表明,共包含Acidobacteria(12.3%,8/65)、Actinobacteria(3.1%,2/65)、Firmicutes(21.5%,14/65)、Nitrospira(3.1%,2/65)和Proteobacteria(60%,39/65)等5个不同细菌门。而从Sul-1土壤样品中测序获得19个16S rRNA基因序列,分析序列系统发育关系表明,共包含Firmicutes(29.5%,13/44)和Proteobacteria(70.5%,31/44)等2个不同细菌门。结果表明,受高浓度的砷和硫酸盐的影响,Sul-1土壤中细菌群落结构相较于普通耕地土壤(Nor-1)发生了明显的改变,多样性明显下降,但有大量具有较强的污染物降解能力的不动杆菌(Acinetobacter)相关序列在Sul-1土壤细菌群落中被发现。     

16S rRNA gene sequence analyses and inter- and intrageneric relationships of Xanthomonas species and Stenotrophomonas maltophilia

The nearly complete, PCR-amplified, 16S rRNA gene sequences have been determined from the representative type strains of eight xanthomonad phena, including six validly described species of the genus Xanthomonas and Stenotrophomonas maltophilia. Pairwise sequence comparisons and phylogenetic analysis demonstrated that the xanthomonads comprise a monophyletic lineage within the γ-subclass of the Proteobacteria. Although the genus Xanthomonas was observed to comprise a cluster of very closely related species, the observed species-specific primary sequence differences were confirmed through sequencing additional strains belonging to the respective species.     

基于12S,16S和28S rRNA基因序列的中国小毛瓢虫属系统发育分析

【目的】小毛瓢虫属Scymnus Kugelann昆虫主要捕食蚜虫、蚧虫等害虫,是一类经济上重要的天敌昆虫。目前针对小毛瓢虫属的系统发育研究尚属空白,亚属之间的系统演化关系尚不明确,为了建立合理的分类系统,亟需对小毛瓢虫属的亲缘关系进行研究和探讨。【方法】以华南农业大学馆藏的小毛瓢虫属5亚属共44种为研究对象,采用PCR技术对12S, 16S和28S rRNA基因的部分序列进行扩增;运用MEGA 7.0分析了小毛瓢虫属内12S, 16S和28S rRNA基因的碱基组成,基于K2P模型计算了小毛瓢虫属44种的种间遗传距离;采用最大似然法(maximum-likelihood, ML)和贝叶斯推断法(Bayesian-inference, BI)构建该属的系统发育树。【结果】扩增获得小毛瓢虫属44种的12S rRNA基因序列平均长度为356 bp, 16S rRNA基因序列平均长度为351 bp, 28S rRNA基因序列平均长度为315 bp;序列分析表明,12S rRNA基因的A, T, G和C平均含量分别为38.8%, 43.5%, 11.9%和5.8%, 16S rRNA基因的A, T, G和C平均含量分别为37.6%, 40.3%, 14.4%和7.7%, 28S rRNA基因的A, T, G和C平均含量分别为26.7%, 18.3%, 31.4%和23.5%;基于联合序列分析的种间遗传距离为0.004～0.276,平均遗传距离为0.115。系统发育分析结果表明,小毛瓢虫属为单系起源,而小毛瓢虫亚属Scymnus(Scymnus) Kugelann、毛瓢虫亚属Scymnus(Neopullus) Sasaji、小瓢虫亚属Scymnus(Pullus) Mulsant和拟小瓢虫亚属Scymnus(Parapullus) Yang均为并系起源。【结论】基于12S, 16S和28S rRNA基因序列的小毛瓢虫属系统发育分析显示传统的形态学分类体系与基于分子数据分析的结果部分不一致,这表明应该对该属内各亚属的鉴别特征进行全面检视,筛选并确立各亚属的形态指标,同时也表明该属内的亚属分类单元需重新厘定。     

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...     

Isolation of tetracycline-resistant clinical Helicobacter pylori without mutations in 16S rRNA gene in Bangladesh

The occurrence of 16S rRNA gene mutations associated with resistance to tetracycline in H. pylori isolated in Bangladesh was investigated. Tetracycline susceptibility was determined by the agar dilution method. The 16S rRNA genes of these isolates were sequenced and analyzed. A tetracycline accumulation assay was performed. DNA sequence and transformation tests of nine tetracycline-resistant (MIC = 2 microg/ml) Bangladeshi H. pylori clinical isolates showed that in no case was the resistance due to mutations in the 16S rRNA gene, the only known cause of tetracycline resistance in this pathogen. Tetracycline accumulation assays implicated altered uptake or efflux.     

Molecular typing of Leptospira spp. based on putative O-antigen polymerase gene (wzy), the benefit over 16S rRNA gene sequence

Molecular typing of leptospiral strains based on variation within putative O-antigen polymerase gene (wzy) was determined among reference strains and those isolated from patients. Using the PCR primers designed from the flanking gene of wzy derived from Leptospira interrogans serovar Copenhageni, all L. interrogans serovars as well as human and rodent leptospiral isolates from Thailand could be amplified. The size of PCR product ranged from 1 to 1.5 kb. The limitation of these primer pairs was the inability to amplify those strains whose sequences differ in the region of the primers, these included Leptospira biflexa (serovar Patoc), Leptospira borgpetersenii (serovar Tarassovi) and Leptospira kirschneri (serovar Bim, Bulgarica, Butembo). Notably, amplification was not limited to L. interrogans as demonstrated by the amplification of some strains from L. kirschneri, Leptospira meyeri, Leptospira noguchii, Leptospira santarosai, L. borgpetersenii and Leptospira weilii. The phylogenetic tree of wzy sequence, inferred by posterior probability of the Bayesian, enabled the categorization of leptospiral serovars into seven genetically related group, of which its differentiation power was better than that of the more highly conserved 16S rRNA gene, which is used extensively for genotyping.