黄海西北部沉积物中细菌群落16S rDNA多样性解析

为揭示黄海西北部海域不同站位沉积物中细菌群落的多样性,采用16SrDNA文库技术,对黄海西北部辽东半岛和山东半岛近岸5个站位的沉积物中不同季节的细菌群落特征进行解析和评价.结果表明,沉积物中微生物种类丰富,主要分布于5～10个已知的门,另外还存在大量未被认知的序列;各站位沉积物中优势菌均为变形细菌门,占文库序列的46%～60%,其中γ-和δ-变形细菌纲为门中优势类群,但在各个站位中存在明显系统发育学分歧.微生物种群在不同地理区域和季节都存在明显差异,不同功能类群与其特殊生境密切相关.

西太平洋浮游有孔虫Globigerinita glutinata种内SSU rDNA多样性研究

有孔虫分子鉴定和分子多样性研究多基于SSU rDNA序列片段分析,但某些浮游种内可能存在基因组内rDNA变化,影响分类学和分子生态学的研究结果。为了研究浮游有孔虫物种内是否存在rDNA多样性,本工作以采自热带西太平洋的浮游有孔虫Globigerinita glutinata活体标本作为研究对象,经形态学鉴定后,利用单细胞PCR和克隆技术,获得5个虫体的20条SSU rDNA目的片段(300—400 bp),同时对其序列结构进行了研究。结果显示,同种G.glutinata出现了四类不同的SSU rDNA核酸类型。序列成对分析显示,该种遗传距离差异最长可达0.249,远高于其它物种。此外,同一样本不同克隆片段中,出现了高达四个不同的SSU rDNA核酸型。序列的差异主要集中在三个不同的高变异区,高可变区的长度范围为21 bp到63 bp。从差异序列的间隔分布推断,核糖体基因簇的重组可能是不同SSU rDNA核酸型出现的原因。本工作在国内首次揭示了热带西太平洋浮游有孔虫G.glutinata种内的SSU rD NA核酸型,研究结果表明G.glutinata的种内SSU rDNA变异性极大,复杂的生活史以及假基因的存在或许是造成该现象的原因。

胶州湾海域表层沉积物细菌多样性

采用16S rDNA文库结合PCR-RFLP分析的手段,对胶州湾4个站位沉积物中的细菌多样性和群落特征研究分析。结果表明,沉积物中细菌种类丰富,最多包含分布于14个已知门类的细菌,和一些未被认知的序列;各站位沉积物中优势菌群均为变形菌门和酸杆菌门,其中γ-和δ-变形菌纲为变形菌门中的绝对优势类群,在4个文库序列中平均占42%和16.75%;此外,拟杆菌门、浮霉菌门和放线菌门的种类也较为大量存在。各细菌种群有较明显空间分布差异,可能与不同区域胶州湾环境条件相关。

丛粒藻形态多样性与遗传多样性研究

观察了采集自不同地点的3株丛粒藻(Botryococcus braunii)(AGB-Bb01、AGB-Bb02和AGB-Bb03)的显微结构和亚显微结构,以18S rDNA和ITS区序列为目标位点比较分析了16株丛粒藻藻株的遗传距离和序列相似性,重建了系统发生树。结果表明:丛粒藻不同地理株在细胞大小、聚落大小和聚落细胞数目方面存在较明显的差异,亚显微结构显示不同藻株的杯状鞘厚度及细胞包埋程度也存在差异;不同地理株间具有较高的遗传多样性,系统发生树显示所有藻株可分成2个簇群和4个亚群,存在一定程度的地理隔离。研究证明了18S rDNA和ITS区序列是进行丛粒藻基因分型和遗传多样性研究的良好位点。本研究为系统了解丛粒藻的遗传多样性和开展优良藻株选育工作奠定了基础。

16s rDNA based microbial diversity analysis of eleven acid mine drainages obtained from three Chinese copper mines

Eleven acid mine drainage （AMD） samples were obtained from southeast of China for the analysis of the microbial communities diversity, and the relationship with geochemical variables and spatial distance by using a culture-independent 16S rDNA gene phylogenetic analysis approach and multivariate analysis respectively. The principle component analysis （PCA） of geochemical variables shows that eleven AMDs can be clustered into two groups, relative high and low metal rich （RHMR and RLMR） AMDs. Total 1691 clone sequences are obtained and the detrended correspondence analysis （DCA） of operational taxonomic units （OTUs） shows that, ~,-Proteobacteria, Acidobacteria, Actinobacteria, Cyanobacteria, Firmicutes and Nitrospirae are dominant species in RHMR AMDs. In contrast, a-Proteobacteria, fl-Proteobacteria, Planctomycetes and Bacteriodetes are dominant species in RLMR AMD. Results also show that high-abundance putative iron-oxidizing and only putative sulfur-oxidizing microorganisms are found in RHMR AMD. Multivariate analysis shows that both geochemical variables （r=0.429 3, P=-0.037 7） and spatial distance （r=0.321 3, P=-0.018 1） are significantly positively correlated with microbial community and pH, Mg, Fe, S, Cu and Ca are key geochemistry factors in shaping microbial community. Variance partitioning analysis shows that geochemical variables and spatial distance can explain most （92%） of the variation.

Diversity of 16S rDNA of Indigenous Iraqi Sinorhizobium meliloti Isolates Differing in Their Ability to Drought Tolerance

Soil bacteria Sinorhizobium meliloti had enormous agricultural value, due to their ability in fixing nitrogen symbiotically with an important forage crop legume--alfalfa. The aims of the present study were （1） to isolate indigenous S. meliloti from different field sites in lraq; （2） to evaluate the isolates tolerance to induced drought using polyethylene glycol-6000; （3） assessing genetic diversity and genetic relationships among isolates of natural population with drought tolerant abilities. Drought tolerance study revealed vast variations between Sinorhizobium isolates, the highest tolerant isolates to drought were 12 from total thirty （40%）, tolerated from -3 up to -4 MPa, while the drought sensitive isolates tolerated up to -1.5 MPa, except isolate Bs 58 which tolerated up to -1 Mpa water potential. The growth declined with the increase of drought stress. Cluster analysis based on Polymerase Chain Reaction-Restriction Fragment Length Polymorphism （PCR-RFLP） of the 16S rDNA showed two divergent groups with 41% similarity, the first group included three drought sensitive isolates （Bs 44, Bs 54 and Bs 58）, the second group comprised the rest nine isolates （moderate and high drought tolerant）, except for Bs 55 which was drought sensitive isolate, all isolates in the two groups showed no differences between them. The PCR-RFLP of 16S rDNA method revealed a genetic variance between the drought sensitive and tolerant isolates.

Cultivable Bacterial Diversity of the East China Sea

Bacterial diversity of 14 sites of the East China Sea was investigated by culture-dependent methods. The impact of human activities on marine bacteria was primarily studied and characteristics of bacteria communities in different areas were analyzed. A total of 396 strains were obtained. These strains belong to 4 phyla, 9 classes and 146 species according to 16S rDNA sequences alignment. For 32 strains, the 16S rDNA sequences similarities between isolated strains and their most closely related species were lower than 98%. The result indicated that there are abundant microbial diversity and a large number of unknown microbial resources in the East China Sea. Isolated strains were dominated byy-proteobacteria （64%）, ct-proteobacteria （18%） and Firmicutes （15%）. Actinobacteria and Bacteroidetes were less than 3%. Microbial community composition, diversity and abundance among areas with varies distances from land were different. The far the regions from the land, the lower the Shannon index （H＇） and the Margalef index （DMg） values were.

Testing three pipelines for 18S rDNA-based metabarcoding of soil faunal diversity

A number of basic and applied questions in ecology and environmental management require the characterization of soil and leaf litter faunal diversity. Recent advances in high-throughput sequencing of barcode-gene amplicons ('metabarcoding') have made it possible to survey biodiversity in a robust and efficient way. However, one obstacle to the widespread adoption of this technique is the need to choose amongst many candidates for bioinformatic processing of the raw sequencing data. We compare three candidate pipelines for the processing of 18S small subunit rDNA metabarcode data from solid substrates: (i) USEARCH/CROP, (ii) Denoiser/UCLUST, and (iii) OCTUPUS. The three pipelines produced reassuringly similar and highly correlated assessments of community composition that are dominated by taxa known to characterize the sampled environments. However, OCTUPUS appears to inflate phylogenetic diversity, because of higher sequence noise. We therefore recommend either the USEARCH/CROP or Denoiser/UCLUST pipelines, both of which can be run within the QIIME (Quantitative Insights Into Microbial Ecology) environment.