Selective Phylogenetic Analysis Targeted at 16S rRNA Genes of Thermophiles and Hyperthermophiles in Deep-Subsurface Geothermal Environments

Deep-subsurface samples obtained by deep drilling are likely to be contaminated with mesophilic microorganisms in the drilling fluid, and this could affect determination of the community structure of the geothermal microflora using 16S rRNA gene clone library analysis. To eliminate possible contamination by PCR-amplified 16S rRNA genes from mesophiles, a combined thermal denaturation and enzyme digestion method, based on a strong correlation between the G+C content of the 16S rRNA gene and the optimum growth temperatures of most known prokaryotic cultures, was used prior to clone library construction. To validate this technique, hot spring fluid (76°C) and river water (14°C) were used to mimic a deep-subsurface sample contaminated with drilling fluid. After DNA extraction and PCR amplification of the 16S rRNA genes from individual samples separately, the amplified products from river water were observed to be denatured at 82°C and completely digested by exonuclease I (Exo I), while the amplified products from hot spring fluid remained intact after denaturation at 84°C and enzyme digestion with Exo I. DNAs extracted from the two samples were mixed and used as a template for amplification of the 16S rRNA genes. The amplified rRNA genes were denatured at 84°C and digested with Exo I before clone library construction. The results indicated that the 16S rRNA gene sequences from the river water were almost completely eliminated, whereas those from the hot spring fluid remained.     

Molecular Phylogenetic Analysis of Archaeal Intron-Containing Genes Coding for rRNA Obtained from a Deep-Subsurface Geothermal Water Pool

Molecular phylogenetic analysis of a naturally occurring microbial community in a deep-subsurface geothermal environment indicated that the phylogenetic diversity of the microbial population in the environment was extremely limited and that only hyperthermophilic archaeal members closely related to Pyrobaculum were present. All archaeal ribosomal DNA sequences contained intron-like sequences, some of which had open reading frames with repeated homing-endonuclease motifs. The sequence similarity analysis and the phylogenetic analysis of these homing endonucleases suggested the possible phylogenetic relationship among archaeal rRNA-encoded homing endonucleases.     

Phylogenetic Analysis of Sequences of the 12S and 16S rRNA Mitochondrial Genes in the Family Bovidae: New Evidence

The phylogeny of the family Bovidae has been inferred from our data on the 12S and 16S rRNA mtDNA gene sequences and from the results of other authors. A considerable (2460 bp) length of the analyzed fragments of these conserved genes and the use of different methods of cladogram construction allowed us to verify the systematic position of the genera Saiga, Pantholops, Procapra, and Oreamnos. Saigas were shown to be phylogenetically far closer to gazelles than black-tailed gazelles and pygmy antelopes. In general, the genetic analysis data are in agreement with the results of morphological studies.     

Phylogenetic clustering of soil microbial communities by 16S rRNA but not 16S rRNA genes

We evaluated phylogenetic clustering of bacterial and archaeal communities from redox-dynamic subtropical forest soils that were defined by 16S rRNA and rRNA gene sequences. We observed significant clustering for the RNA-based communities but not the DNA-based communities, as well as increasing clustering over time of the highly active taxa detected by only rRNA.     

Rhizobial 16S rRNA and dnaK Genes: Mosaicism and the Uncertain Phylogenetic Placement of Rhizobium galegae

The phylogenetic relatedness among 12 agriculturally important species in the order Rhizobiales was estimated by comparative 16S rRNA and dnaK sequence analyses. Two groups of related species were identified by neighbor-joining and maximum-parsimony analysis. One group consisted of Mesorhizobium loti and Mesorhizobium ciceri, and the other group consisted of Agrobacterium rhizogenes, Rhizobium tropici, Rhizobium etli, and Rhizobium leguminosarum. Although bootstrap support for the placement of the remaining six species varied, A. tumefaciens, Agrobacterium rubi, and Agrobacterium vitis were consistently associated in the same subcluster. The three other species included Rhizobium galegae, Sinorhizobium meliloti, and Brucella ovis. Among these, the placement of R. galegae was the least consistent, in that it was placed flanking the A. rhizogenes-Rhizobium cluster in the dnaK nucleotide sequence trees, while it was placed with the other three Agrobacterium species in the 16S rRNA and the DnaK amino acid trees. In an effort to explain the inconsistent placement of R. galegae, we examined polymorphic site distribution patterns among the various species. Localized runs of nucleotide sequence similarity were evident between R. galegae and certain other species, suggesting that the R. galegae genes are chimeric. These results provide a tenable explanation for the weak statistical support often associated with the phylogenetic placement of R. galegae, and they also illustrate a potential pitfall in the use of partial sequences for species identification.     

Quantitative PCR Targeting 16S rRNA and Reductive Dehalogenase Genes Simultaneously Monitors Multiple Dehalococcoides Strains

The 16S rRNA gene provides insufficient information to infer the range of chloroorganic electron acceptors used by different Dehalococcoides organisms. To overcome this limitation and provide enhanced diagnostic tools for growth measurements, site assessment, and bioremediation monitoring, a quantitative real-time PCR (qPCR) approach targeting 16S rRNA genes and three Dehalococcoides reductive dehalogenase (RDase) genes with assigned function (i.e., tceA, bvcA, and vcrA) was designed and evaluated. qPCR standard curves generated for the RDase genes by use of genomic DNA from Dehalococcoides pure cultures correlated with standard curves obtained for both Bacteria- and Dehalococcoides-targeted 16S rRNA genes, suggesting that the RDase genes are useful targets for quantitative assessment of Dehalococcoides organisms. RDase gene probe/primer pairs were specific for the Dehalococcoides strains known to carry the diagnostic RDase gene sequences, and the qPCR method allowed the detection of as few as 1 to 20 and quantification of as few as 50 to 100 tceA, bvcA, or vcrA gene targets per PCR volume. The qPCR approach was applied to dechlorinating enrichment cultures, microcosms, and samples from a contaminated site. In characterized enrichment cultures where known Dehalococcoides strains were enumerated, the sum of the three RDase genes equaled the total Dehalococcoides cell numbers. In site samples and chloroethane-dechlorinating microcosms, the sum of the three RDase genes was much less than that predicted by Dehalococcoides-targeted qPCR, totaling 10 to 30% of the total Dehalococcoides cell numbers. Hence, a large number of Dehalococcoides spp. contain as-yet-unidentified RDase genes, indicating that our current understanding of the dechlorinating Dehalococcoides community is incomplete.     

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。     

Molecular Analysis of Deep-Sea Hydrothermal Vent Aerobic Methanotrophs by Targeting Genes of 16S rRNA and Particulate Methane Monooxygenase

Molecular diversity of deep-sea hydrothermal vent aerobic methanotrophs was studied using both 16S ribosomalDNA and pmoA encoding the subunit A of particulate methane monooxygenase (pMOA). Hydrothermal vent plume and chimney samples were collected from back-arc vent at Mid-Okinawa Trough (MOT), Japan, and the Trans-Atlantic Geotraverse (TAG) site along Mid-Atlantic Ridge, respectively. The target genes were amplified by polymerase chain reaction from the bulk DNA using specific primers and cloned. Fifty clones from each clone library were directly sequenced. The 16S rDNA sequences were grouped into 3 operational taxonomic units (OTUs), 2 from MOT and 1 from TAG. Two OTUs (1 MOT and 1 TAG) were located within the branch of type I methanotrophic ?-Proteobacteria. Another MOT OTU formed a unique phylogenetic lineage related to type I methanotrophs. Direct sequencing of 50 clones each from the MOT and TAG samples yielded 17 and 4 operational pmoA units (OPUs), respectively. The phylogenetic tree based on the pMOA amino acid sequences deduced from OPUs formed diverse phylogenetic lineages within the branch of type I methanotrophs, except for the OPU MOT-pmoA-8 related to type X methanotrophs. The deduced pMOA topologies were similar to those of all known pMOA, which may suggest that the pmoA gene is conserved through evolution. Neither the 16S rDNA nor pmoA molecular analysis could detect type II methanotrophs, which suggests the absence of type II methanotrophs in the collected vent samples.     

Investigation of the Microbial Ecology of Intertidal Hot Springs by Using Diversity Analysis of 16S rRNA and Chitinase Genes

The microbial diversity of intertidal hot springs on the seashore of northwest Iceland was examined by combining directed in situ enrichments, artificial support colonization, and mat sampling. Analysis of 16S rRNA genes revealed the presence of clones related to both marine and terrestrial, thermophilic, mesophilic, and psychrophilic microorganisms scattered among 11 bacterial divisions. No archaea were found. The species composition of the enrichments was affected by the length of the hot periods experienced at low tide and was very different from those found in the biomass. A total of 36 chitinase genes were detected by molecular screening of the samples with degenerate primers for glycoside hydrolase family 18. The chitinase gene diversity was at least twofold higher in the enrichment samples than in the controls, indicating that a much higher diversity of hydrolytic genes can be accessed with this approach.     

Selective and Sensitive Method for PCR Amplification of Escherichia coli 16S rRNA Genes in Soil

A set of PCR primers targeting 16S rRNA gene sequences was designed, and PCR parameters were optimized to develop a robust and reliable protocol for selective amplification of Escherichia coli 16S rRNA genes. The method was capable of discriminating E. coli from other enteric bacteria, including its closest relative, Shigella. Selective amplification of E. coli occurred only when the annealing temperature in the PCR was elevated to 72°C, which is 10°C higher than the optimum for the primers. Sensitivity was retained by modifying the length of steps in the PCR, by increasing the number of cycles, and most importantly by optimizing the MgCl₂ concentration. The PCR protocol developed can be completed in less then 2 h and, by using Southern hybridization, has a detection limit of ca. 10 genomic equivalents per reaction. The method was demonstrated to be effective for detecting E. coli DNA in heterogeneous DNA samples, such as those extracted from soil.     

垃圾填埋场渗滤液中古细菌群落16S rRNA基因的ARDRA分析

利用特异性的引物对,选择性扩增垃圾填埋场渗滤液中古细菌群落的18S rRNA基因片断,在此基础上建立16S rDNA克隆文库,经古细菌通用寡核苷酸探针的原位杂交筛选后,克隆文库内古细菌16S rDNA扩增片断的多样性通过ARDRA分析（amplified rDNA restriction analysis)而获得,利用PCR将各组重克隆子内的16S rDNA外源片断再扩增出来后,两种限制性内切酶－Hha I和HaeⅢ－被分别用于16S rDNA克隆片断的限制酶切分析,结果表明,随机选出的70个古细菌16S rDNA克隆片断被妥为21个不同的ARDRA型（组）,其中的两个优势型总共占了所有被分析克隆子的60％,而其余19个型的相对丰度均处于较低的水平,当中的14个型更仅含有1个克隆子,通过对16S rRNA基因的PCR扩增,克隆及其ARDRA分析,能快速地获得有关填埋场渗滤液中古细菌群落的结构及其多样性的初步信息。     

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。     

Phylogenetic Analysis of Pasteuria penetrans by 16S rRNA Gene Cloning and Sequencing

Pasteuria penetrans is an endospore-forming bacterial parasite of Meloidogyne spp. This organism is among the most promising agents for the biological control of root-knot nematodes. In order to establish the phylogenetic position of this species relative to other endospore-forming bacteria, the 16S ribosomal genes from two isolates of P. penetrans, P-20, which preferentially infects M. arenaria race 1, and P-100, which preferentially infects M. incognita and M. javanica, were PCR-amplified from a purified endospore extraction. Universal primers for the 16S rRNA gene were used to amplify DNA which was cloned, and a nucleotide sequence was obtained for 92% of the gene (1,390 base pairs) encoding the 16S rDNA from each isolate. Comparison of both isolates showed identical sequences that were compared to 16S rDNA sequences of 30 other endospore-forming bacteria obtained from GenBank. Parsimony analyses indicated that P. penetrans is a species within a clade that includes Alicyclobacillus acidocaldarius, A. cycloheptanicus, Sulfobacillus sp., Bacillus tusciae, B. schlegelii, and P. ramosa. Its closest neighbor is P. ramosa, a parasite of Daphnia spp. (water fleas). This study provided a genomic basis for the relationship of species assigned to the genus Pasteuria, and for comparison of species that are parasites of different phytopathogenic nematodes.     

Phylogenetic studies of the rRNA group II pseudomonads based on 16S rRNA gene sequences

Nearly complete sequences of 16S rRNA genes were determined for eight bacterial strains representing five species of the rRNA homology group II pseudomonads that are members of the beta subclass of the class Proteobacteria. Comparative analysis with published sequence data indicated that Pseudomonas andropogonis, Ps. caryophylli, Ps. gladioli pv. gladioli and Ps. cepacia aggregate in one coherent cluster at 94·2% sequence similarity; Ps. solanacearum and Ps. pickettii shared 95·3% and 92·8% similarity with Alcaligenes eutrophus in another cluster. Both clusters joined at 87·8% similarity, which is similar to that for genera in this subclass of Proteobacteria. Based on this study and on comparison with other works we suggest that these species are separated from authentic pseudomonads and constitute a new genus or possibly two related genera accommodating Ps. andropogonis, Ps. caryophylli, Ps. gladioli, Ps. cepacia, and Ps. solanacearum, Ps. pickettii and A. eutrophus, respectively. Four strains of Ps. solanacearum representing Biovars 1, 2, 3 and 4 were subdivided into two clusters at 99·1% sequence similarity, in agreement with other published phenotypic and genotypic studies. The two clusters may be potentially regarded as subspecies.     

基于16S rRNA部分序列中国蝙蝠科蝙蝠系统发生分析

蝙蝠科蝙蝠遍布全世界,是蝙蝠中种类最多的一个科.尽管从形态学、胚胎学和分子生物学等方面认为蝙蝠科内长翼蝠亚科应该提升到科、鼠耳蝠属应该提升到亚科的分类地位,但是其科内的系统关系长期以来一直处于争议之中.本文对蝙蝠科11种38个标本线粒体16S rRNA部分序列进行了测序,并结合以前报道的13种(属于7科13属)蝙蝠的线粒体16S rRNA部分序列构建了系统树,结果表明:长翼蝠亚科可以提升到科的分类地位、鼠耳蝠属提升到亚科的分类地位,这与前人报道的结果一致;相对于由鼠耳蝠亚科、彩蝠亚科和管鼻蝠亚科构成的分支,蝙蝠亚科和Antrozoinae是一个并系群.蝙蝠亚科内的亲缘关系也进行了进一步的讨论.     

基于线粒体12S和16S rRNA基因部分序列的角蟾亚科部分属种的系统发育关系

测定了角蟾亚科2属8种(亚种)和外群3种的线粒体12S和16S rRNA基因部分DNA序列,比对后序列长共949bp,其中变异位点数320,简约位点数206。邻接法和最大简约法分析的系统关系树一致表明内群为一单系群,其中腺角蟾首先与其他物种分开;沙坪角蟾与宽头短腿蟾聚为一支;余下的5种(亚种)角蟾组成一支,其中小角蟾短肢亚种的广西种群和香港种群聚为一亚支,另一亚支包括峨眉角蟾、小角蟾指名亚种、尾凸角蟾和重庆武隆的角蟾种,后两种角蟾进化关系最近。本结果支持短肢角蟾为有效种,同时提示腺角蟾、沙坪角蟾与宽头短腿蟾可能隶属3个不同的亚属或属。     

Diversity of 16S rRNA Genes within Individual Prokaryotic Genomes

Analysis of intragenomic variation of 16S rRNA genes is a unique approach to examining the concept of ribosomal constraints on rRNA genes; the degree of variation is an important parameter to consider for estimation of the diversity of a complex microbiome in the recently initiated Human Microbiome Project (http://nihroadmap.nih.gov/hmp). The current GenBank database has a collection of 883 prokaryotic genomes representing 568 unique species, of which 425 species contained 2 to 15 copies of 16S rRNA genes per genome (2.22 ± 0.81). Sequence diversity among the 16S rRNA genes in a genome was found in 235 species (from 0.06% to 20.38%; 0.55% ± 1.46%). Compared with the 16S rRNA-based threshold for operational definition of species (1 to 1.3% diversity), the diversity was borderline (between 1% and 1.3%) in 10 species and >1.3% in 14 species. The diversified 16S rRNA genes in Haloarcula marismortui (diversity, 5.63%) and Thermoanaerobacter tengcongensis (6.70%) were highly conserved at the 2° structure level, while the diversified gene in B. afzelii (20.38%) appears to be a pseudogene. The diversified genes in the remaining 21 species were also conserved, except for a truncated 16S rRNA gene in “Candidatus Protochlamydia amoebophila.” Thus, this survey of intragenomic diversity of 16S rRNA genes provides strong evidence supporting the theory of ribosomal constraint. Taxonomic classification using the 16S rRNA-based operational threshold could misclassify a number of species into more than one species, leading to an overestimation of the diversity of a complex microbiome. This phenomenon is especially seen in 7 bacterial species associated with the human microbiome or diseases.rRNA genes are widely used for estimation of evolutionary history and taxonomic assignment of individual organisms (14, 26, 50-52). The choice of rRNA genes as optimal tools for such purposes is based on both observations and assumptions of ribosomal conservation (13, 50). rRNA genes are essential components of the ribosome, which consists of >50 proteins and three classes of RNA molecules; precise spatial relationships may be essential for assembly of functional ribosomes, constraining rRNA genes from drastic change (9, 13). In bacteria, the three rRNA genes are organized into a gene cluster which is expressed as single operon, which may be present in multiple copies in the genome. In organisms with multiple rRNA gene operons, the gene sequences tend to evolve in concert. It is generally believed that copies of rRNA genes within an organism are subject to a homogenization process through homologous recombination, also known as gene conversion (18), a form of concerted evolution that maintains their fit within the ribosome. The homogenization process may involve short domains without affecting the entire sequence of each gene (8).However, significant differences between copies of rRNA genes in single organisms, albeit few, have been discovered in all three domains of life and in all three classes of rRNA genes. The amphibian Xenopus laevis and the loach Misgurnus fossilis have two types of 5S rRNA genes that are specific to either somatic or oocyte ribosomes (30, 48). The parasite Plasmodium berghei contains two types of 18S rRNA genes that differ at 3.5% of the nucleotide positions and are life cycle stage specific (17). The metazoan Dugesia mediterranea possesses two types of 18S rRNA genes with 8% dissimilarity (6). The archaeon Haloarcula marismortui contains two distinct types of 16S rRNA genes that differ by 5% (32, 33). In the domain Bacteria, the actinomycete Thermobispora bispora contains two types of 16S rRNA genes that differ by 6.4% (47). Copies of the 16S rRNA genes and 23S rRNA genes of the actinomycete Thermospora chromogena differ by approximately 6 and 10%, respectively (54). Paralogous copies of rRNA genes with different sequences may have functionally distinct roles.Divergent evolution between rRNA genes in the same genome may corrupt the record of evolutionary history and obscure the true identity of an organism. Substantial variation, if it occurs, may lead to the artificial classification of an organism into more than one species. For a cultivable organism, this problem can be resolved by cloning rRNA genes from a pure culture of the organism to identify the degree of variation. However, most environmental surveys and the recently initiated Human Microbiome Project (HMP) (http://nihroadmap.nih.gov/hmp/) (34) use cultivation-independent techniques to examine microbiomes that contain mixed species. In the case of the HMP, it is hoped that this approach may identify some idiopathic diseases that are caused by alterations in the microbiome in humans. In this type of study, it may be impossible to trace all rRNA genes observed back to their original host. For example, in the phylum TM7, multiple 16S rRNA gene sequences have been reported (21), but it is not known whether they belong to multiple species or to the same bacterium with a high degree of intragenomic variation among rRNA gene paralogs. Due to the limited number of microorganisms for which nucleotide sequences are available for all copies of the rRNA genes, intragenomic variation among 16S rRNA genes, and the likelihood of pyrosequencing errors (25, 40), the potential to overestimate the diversity of a microbiome exists.Coenye et al. analyzed 55 bacterial genomes and found the intragenomic heterogeneity between multiple 16S rRNA genes in these genomes was below the common threshold (1 to 1.3%) for distinguishing species (44) and was unlikely to have a profound effect on the classification of taxa (10). The analysis of 76 whole genomes by Acinas et al. revealed the extreme diversity (11.6%) of 16S rRNA genes in Thermoanaerobacter tengcongensis (2). These early analyses of intragenomic variation of 16S rRNA genes were limited to a small number of available whole genomes. With the increasing number of whole microbial genomes available from the National Center for Biotechnology Information (NCBI), the extent of diversity among the paralogous 16S rRNA genes within single organisms can now be more thoroughly assessed. In the present study, we (i) addressed the theory of 16S rRNA conservation by systematic evaluation of intragenomic diversity of 16S rRNA sequences in completely sequenced prokaryotic genomes to assess its effect on the accuracy of 16S rRNA-based molecular taxonomy and (ii) examined whether previously observed ribosomal constraints on conservation of 2° structures are uniformly applicable at the intragenomic level.