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对一个受工业排放污染的栖息地中的微生物群落进行分类组成分析和宏基因组分析。

Taxonomic profiling and metagenome analysis of a microbial community from a habitat contaminated with industrial discharges.

机构信息

Museo Nacional de Ciencias Naturales-CSIC, C/Serrano 115 bis., 28006, Madrid, Spain,

出版信息

Microb Ecol. 2013 Oct;66(3):533-50. doi: 10.1007/s00248-013-0244-x.

Abstract

Industrial units, manufacturing dyes, chemicals,solvents, and xenobiotic compounds, produce liquid and solid wastes, which upon conventional treatment are released in the nearby environment and thus are the major cause of pollution. Soil collected from contaminated Kharicut Canalbank (N 22°57.878′; E 072°38.478′), Ahmeda bad, Gujarat,India was used for metagenomic DNA preparation to study the capabilities of intrinsic microbial community in dealing with xenobiotics. Sequencing of metagenomic DNA on the Genome Sequencer FLX System using titanium chemistry resulted in 409,782 reads accounting for 133,529,997 bases of sequence information. Taxonomic analyses and gene annotations were carried out using the bioinformatics platform Sequence Analysis and Management System for Metagenomic Datasets. Taxonomic profiling was carried out by three different complementary approaches: (a) 16S rDNA, (b) environmental gene tags, and (c) lowest common ancestor. The most abundant phylum and genus were found to be “Proteobacteria”and “Pseudomonas,” respectively. Metagenome reads were mapped on sequenced microbial genomes and the highest numbers of reads were allocated to Pseudomonas stutzeri A1501. Assignment of obtained metagenome reads to Gene Ontology terms, Clusters of Orthologous Groups of protein categories, protein family numbers, and Kyoto Encyclopedia of Genes and Genomes hits revealed genomic potential of indigenous microbial community. In total, 157,024 reads corresponded to 37,028 different KEGG hits, and amongst them, 11,574 reads corresponded to 131 different enzymes potentially involved in xenobiotic biodegradation. These enzymes were mapped on biodegradation pathways of xenobiotics to elucidate their roles in possible catalytic reactions. Consequently, information obtained from the present study will act as a baseline which, subsequently along with other“-omic” studies, will help in designing future bioremediation strategies in effluent treatment plants and environmental cleanup projects.

摘要

工业单位,生产染料、化学品、溶剂和异生物质化合物,会产生液体和固体废物,这些废物经过常规处理后会被释放到附近的环境中,因此是污染的主要原因。从受污染的卡胡卡特运河堤岸(N 22°57.878′;E 072°38.478′)采集的土壤,古吉拉特邦艾哈迈达巴德,用于宏基因组 DNA 制备,以研究内在微生物群落处理异生物质的能力。使用钛化学在基因组测序仪 FLX 系统上对宏基因组 DNA 进行测序,得到 409782 个读数,共计 133529997 个碱基序列信息。使用生物信息学平台 Sequence Analysis and Management System for Metagenomic Datasets 进行分类分析和基因注释。分类分析采用三种不同的互补方法进行:(a)16S rDNA,(b)环境基因标签,(c)最常见的祖先。最丰富的门和属分别为“变形菌门”和“假单胞菌属”。宏基因组读段被映射到测序微生物基因组上,读段数量最多的是恶臭假单胞菌 A1501。将获得的宏基因组读段分配到基因本体论术语、同源基因簇蛋白分类、蛋白家族数量和京都基因与基因组百科全书命中,揭示了土著微生物群落的基因组潜力。共有 157024 个读段对应 37028 个不同的 KEGG 命中,其中 11574 个读段对应 131 种可能参与异生物质生物降解的不同酶。这些酶被映射到异生物质生物降解途径上,以阐明它们在可能的催化反应中的作用。因此,本研究获得的信息将作为基线,随后与其他“组学”研究一起,有助于设计废水处理厂和环境清理项目中的未来生物修复策略。

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