耐热嗜盐菌的分离及16S rRNA基因序列分析

从位于西藏自治区澜沧江边一个47℃的盐井中分离筛选到一株耐热嗜盐菌菌株YJ0238, 对其进行了生理生化特性研究, 采用PCR方法扩增其16S rRNA基因序列, 并进行了测定。基于生理生化特性和16S rRNA基因序列的同源性比较, 以及系统发育分析, 发现菌株YJ0238是Idiomarina属中成员zobellii的一个亚种, 其16S rRNA基因序列已被GenBank数据库收录, 序列号为EF693953。迄今为止, 国内极少有关高温、高盐环境中微生物研究的报道, 本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素材和参考。     

艾丁嗜盐小盒菌B2菌株16S rRNA核苷酸序列

艾丁嗜盐小盒菌B2菌株(Haloarcula aidinensis, strain B2)16Sr RNA的核苷酸序列已以双脱氧核苷酸链终止法确定。该菌16Sr RNA显示出了典型的古生物类(Archaea)特性。虽然艾丁嗜盐小盒菌B2菌株在序列方面更接近细菌类(Bacteria)的16SrRNA,但它的序列也显示出与真核生物类(Eucarya)的某些特殊的相似性。在序列和结构方面,该菌与细菌类或真核生物类之间的相似程度要高于细菌类与真核生物类之间的相似程度。另外,该菌16SrRNA的序列与其它嗜盐菌序列相比较支持了以前的结论,即艾丁嗜盐小盒菌B2菌株应属于嗜盐小盒菌属(Haloarcula)的一新种。     

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。     

极端嗜盐菌 16S rDNA的PCR扩增

四株嗜盐菌Haloarcula vallismortis(EM201)、Haloferax denitrificans(EM303)、A_5和B_2已通过一对特定引物用PCR技术从总DNA中扩增出各自的16SrDNA片段,分子大小在1.47kd左右.DNA杂交也表明这些PCR产物具有嗜盐菌的同源性.     

耐热嗜盐菌的分离及16S rRNA基因序列分析

从位于西藏自治区澜沧江边一个47℃的盐井中分离筛选到一株耐热嗜盐菌菌株 YJ0238.对其进行了生理生化特性研究,采用PCR方法扩增其16S rRNA基因序列,并进行了测定.基于生理生化特性和16S rRNA基因序列的同源性比较,以及系统发育分析,发现菌株YJ0238是Idiomarina属中成员zobellii的一个亚种,其16S rRNA基因序列已被GenBank数据库收录,序列号为EF693953.迄今为止,国内极少有关高温、高盐环境中微生物研究的报道,本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素材和参考.     

嗜盐古生菌AJ4中BR蛋白基因部分片段和16S rRNA基因序列研究

为了研究分析新疆阿尔金山国家自然保护区阿牙克库木湖嗜盐古生菌物种与细菌视紫红质(bacteriorhodopsin ,BR)蛋白资源 ,对分离纯化到的极端嗜盐古生菌AJ4 ,采用PCR方法扩增出其 16SrRNA基因 (16SrDNA)和编码螺旋C至螺旋G的BR蛋白基因片断 ,并测定了基因的核苷酸序列 .通过BR蛋白部分片段序列分析表明 ,BR蛋白中对于完成质子泵功能以及与视黄醛结合的关键性氨基酸残基均为保守序列 ,位于膜内侧的序列比位于膜外侧的序列更保守 ;基于BR蛋白基因和16SrDNA序列的同源性比较以及 16SrDNA序列的系统发育学研究表明 ,AJ4是Haloarcula属中新成员 .由此建立了一种快速筛选具有新BR蛋白的新嗜盐古生菌的方法 .     

新疆艾比湖和伊吾湖可培养嗜盐古菌多样性

新疆地区盐湖密布,蕴藏着丰富的微生物资源。为保护和利用微生物物种与基因资源,作者从新疆准噶尔盆地的艾比湖和天山山间盆地的伊吾湖分离纯化嗜盐微生物。采用PCR方法扩增其中65株嗜盐古菌16SrRNA基因序列。序列分析表明,分离的嗜盐古菌分属6个属,艾比湖以Haloterrigena和Natrinema属的菌株为主,伊吾湖由Haloarcula和Halorubrum两个属的菌株构成。通过多样性指数、丰富度指数、均匀度指数和物种相对多度模型对分离的菌株进行多样性分析和比较,结果表明,盐湖嗜盐古菌的多样性指数、丰富度指数和均匀度指数具有一定相关性,艾比湖可培养嗜盐古菌的多样性高于伊吾湖。研究发现了一些新的物种资源,表明新疆盐湖中孕育的特色微生物资源亟待保护与利用。     

云南黑井古盐矿可培养极端嗜盐古菌初步研究*

从云南禄丰县黑井古镇古盐矿采集30多个盐土样品,用6种极端嗜盐古菌的培养基进行分离,共挑选出425株嗜盐菌。经过盐浓度耐受等实验筛选并去除可能重复菌株后共有79株极端嗜盐菌,选出15株进行了16S rRNA基因序列测定,结果显示,其中11株为极端嗜盐古菌。对这11株菌进行初步系统发育分析发现,它们广泛分布在极端嗜盐古菌科至少4个不同属中,其中16S rRNA基因和已有效发表种间的序列相似性在97％以上的有6株,分布在Halorubrum,Natronococcus,Natrialba,Halalkalicoccus4个属中;序列相似性低于97％的有5株：菌株YIM-ARC 0032,YIM-ARC 0036,YIM-ARC 0037,YIM-ARC 0050,它们的分类地位有待进一步确定。实验初步显示出了云南黑井盐矿极端嗜盐古菌的多样性和丰富度,值得深入研究。     

极端嗜盐菌16SrDNA的PCR扩增

四株嗜盐菌Haloarcula vallismortis(EM201)、Haloferax denitrificans(EM303)、A_5和B_2已通过一对特定引物用PCR技术从总DNA中扩增出各自的16SrDNA片段,分子大小在1.47kd左右.DNA杂交也表明这些PCR产物具有嗜盐菌的同源性.     

嗜盐古细菌的系统发育分析

用“Clustalw”和“PHYLIP”程序包分析嗜盐古细菌16S rRNA序列,建立了嗜盐古细菌的系统发育树。比较分析的结果进一步支持了以前的结论,即嗜盐古细菌在自然系统分类上应被分成嗜盐菌科的6个属。此系统发育分析方法不仅体现了在嗜盐古细菌属一级分类上的优势,而且还可能被用作一种相应于以《伯杰氏细菌系统分类手册》(第三卷)为基础的嗜盐古细菌种一级分类上的代换方法。实际上,这种系统发育分析方法比其他建立在表型特性基础上的分类系统更真实地反映了嗜盐古细菌内的亲缘关系。该方法的其他运算细节在本文中也进行了讨论。     

Bacterial phylogeny based on 16S and 23S rRNA sequence analysis

Abstract: Molecular phylogeny increasingly supports the understanding of organismal relationships and provides the basis for the classification of microorganisms according to their natural affiliations. Comparative sequence analysis of ribosomal RNAs or the corresponding genes currently is the most widely used approach for the reconstruction of microbial phylogeny. The highly and less conserved primary and higher order structure elements of rRNAs document the history of microbial evolution and are informative for definite phylogenetic levels. An optimal alignment of the primary structures and a careful data selection are prerequisites for reliable phylogenetic conclusions. rRNA based phylogenetic trees can be reconstructed and the significance of their topologies evaluated by applying distance, maximum parsimony and maximum likelihood methods of phylogeny inference in comparison, and by fortuitous or directed resampling of the data set. Phylogenetic trees based on almost equivalent data sets of bacterial 23S and 16S rRNAs are in good agreement and their overall topologies are supported by alternative phylogenetic markers such as elongation factors and ATPase subunits. Besides their phylogenetic information content, the differently conserved primary structure regions of rRNAs provide target sites for specific hybridization probes which have been proven to be powerful tools for the identification of microbes on the basis of their phylogenetic relationships.     

利用16S rRNA基因同源性分析鉴定两株明串珠菌

从酸马奶中分离出2株明串珠菌KLDS 5.0301和KLDS 5.0302,对2株菌的16S rRNA基因经PCR扩增测序,将测序结果同该属内菌株的16S rRNA序列作多序列比较,并建立明串珠菌属的系统发育树.结果表明,KLDS 5.0301的16S rRNA序列同L. garlicum的同源性百分比为100%.KLDS 5.0302的16S rRNA序列同L.mesenteroides LM2菌株的16S rRNA序列的同源性百分比为99.9%.根据系统发育树的结果,将KLDS5.0301鉴定为L.garlicum,KLDS 5.0302鉴定为L.mesenteroides.菌株KLDS 5.0301和KLDS 5.0302的16SrRNA序列已经在GeneBank申请国际序列注册号,分别为DQ239691和DQ297412.     

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。     

枯草菌素产生菌芽孢杆菌FB123的发酵条件优化及其16S rRNA序列分析

对芽孢杆茵FB123产枯草菌素发酵条件进行了优化并对菌株进行了16S rRNA分子鉴定.采用不同培养基配方、单因素及正交设计等试验对FBl23培养基、发酵条件进行了优化,FBl23的枯草菌素产量(透明圈直径:cm)从1.1 cm增加到1.67 cm;生物量提高了2.5倍.最佳培养基为(%):葡萄糖0.5,蛋白胨1.0,牛肉膏0.5,酵母膏0.1,pH 7.5;培养条件:培养温度28℃,培养时间32 h.进一步克隆测定了该茵16S rRNA基因序列,系统进化树分析表明该茵与枯草芽孢杆菌(Bacillus subtilis)具有最紧密亲缘关系.     

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.     

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.     

Nanoarchaeal 16S rRNA gene sequences are widely dispersed in hyperthermophilic and mesophilic halophilic environments

The Nanoarchaeota, proposed as the fourth sub-division of the Archaea in 2002, are known from a single isolate, Nanoarchaeum equitans, which exists in a symbiotic association with the hyperthermophilic Crenarchaeote, Ignicoccus. N. equitans fails to amplify with standard archaeal 16S PCR primers and can only be amplified using specifically designed primers. We have designed a new set of universal archaeal primers that amplify the 16S rRNA gene of all four archaeal sub-divisions, and present two new sets of Nanoarchaeota-specific primers based on all known nanoarchaeal 16S rRNA gene sequences. These primers can be used to detect N. equitans and have generated nanoarchaeal amplicons from community DNA extracted from Chinese, New Zealand, Chilean and Tibetan hydrothermal sites. Sequence analysis indicates that these environments harbour novel nanoarchaeal phylotypes, which, however, do not cluster into clear phylogeographical clades. Mesophilic hypersaline environments from Inner Mongolia and South Africa were analysed using the nanoarchaeal-specific primers and found to contain a number of nanoarchaeal phylotypes. These results suggest that nanoarchaeotes are not strictly hyperthermophilic organisms, are not restricted to hyperthermophilic hosts and may be found in a large range of environmental conditions.     

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.