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从工业污泥中鉴定和分析微生物群落。

Identification and profiling of microbial community from industrial sludge.

机构信息

Department of Environmental Microbiology, School for Environmental Sciences, Babasaheb Bhimrao Ambedkar (A Central) University, Lucknow, 226 025, Uttar Pradesh, India.

Plant Molecular Biology Laboratory, Department of Botany, Dayanand Anglo-Vedic (PG) College, Chhatrapati Shahu Ji Maharaj University, Kanpur, 208 001, India.

出版信息

Arch Microbiol. 2022 Apr 1;204(4):234. doi: 10.1007/s00203-022-02831-y.

Abstract

The purpose of this study is to identify microbial communities in pulp and paper industry sludge and their metagenomic profiling on the basis of; phylum, class, order, family, genus and species level. Results revealed that the dominant phyla in 16S rRNA Illumina Miseq analysis inside sludge were Anaerolinea, Pseudomonas, Clostridia, Bacteriodia, Gammaproteobacteria, Spirochetia, Deltaproteobacteria, Spirochaetaceae, Prolixibacteraceae and some unknown microbial strains are also dominant. Metagenomics is a molecular biology-based technology that uses bioinformatics to evaluate huge gene sequences extracted from environmental samples to assess the composition and function of microbiota. The results of metabarcoding of the V3-V4 16S rRNA regions acquired from paired-end Illumina MiSeq sequencing were used to analyze bacterial communities and structure. The present work demonstrates the potential approach to sludge treatment in the open environment via the naturally adapted microorganism, which could be an essential addition to the disposal site. In summary, these investigations indicate that the indigenous microbial community is an acceptable bioresource for remediation or detoxification following secondary treatment. This research aims at understanding the structure of microbial communities and their diversity (%) in highly contaminated sludge to perform in situ bioremediation.

摘要

本研究旨在根据门、纲、目、科、属和种的水平,确定纸浆和造纸工业污泥中的微生物群落及其宏基因组分析。结果表明,16S rRNA Illumina Miseq 分析中污泥内的优势菌群为产甲烷菌、假单胞菌、梭菌、拟杆菌、γ-变形菌、螺旋体、δ-变形菌、螺旋体科、普罗利克斯菌科和一些未知的微生物菌株也占主导地位。宏基因组学是一种基于分子生物学的技术,它利用生物信息学来评估从环境样本中提取的庞大基因序列,以评估微生物群落的组成和功能。从 Illumina MiSeq 测序的配对末端 V3-V4 16S rRNA 区域获得的 metabarcoding 结果用于分析细菌群落和结构。本工作通过自然适应的微生物展示了在开放环境中处理污泥的潜在方法,这可能是处置场的重要补充。总之,这些研究表明,土著微生物群落是经过二次处理后进行修复或解毒的可接受的生物资源。本研究旨在了解高度污染污泥中微生物群落的结构及其多样性(%),以进行原位生物修复。

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