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宏转录组学:一种从污染及相关环境中检索新型真核基因的方法。

Metatranscriptomics: an approach for retrieving novel eukaryotic genes from polluted and related environments.

作者信息

Mukherjee Arkadeep, Reddy M Sudhakara

机构信息

Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, Punjab 147004 India.

出版信息

3 Biotech. 2020 Feb;10(2):71. doi: 10.1007/s13205-020-2057-1. Epub 2020 Jan 27.

Abstract

Metatranscriptomics, a subset of metagenomics, provides valuable information about the whole gene expression profiling of complex microbial communities of an ecosystem. Metagenomic studies mainly focus on the genomic content and identification of microbes present within a community, while metatranscriptomics provides the diversity of the active genes within such community, their expression profile and how these levels change due to change in environmental conditions. Metatranscriptomics has been applied to different types of environments, from the study of human microbiomes, to those found in plants, animals, within soils and in aquatic systems. Metatranscriptomics, based on the utilization of mRNA isolated from environmental samples, is a suitable approach to mine the eukaryotic gene pool for genes of biotechnological relevance. Also, it is imperative to develop different bioinformatic pipelines to analyse the data obtained from metatranscriptomic analysis. In the present review, we summarise the metatranscriptomics applied to soil environments to study the functional diversity, and discuss approaches for isolating the genes involved in organic matter degradation and providing tolerance to toxic metals, role of metatranscriptomics in microbiome research, various bioinformatics pipelines used in data analysis and technical challenges for gaining biologically meaningful insight of this approach.

摘要

宏转录组学是宏基因组学的一个子集,它能提供有关生态系统中复杂微生物群落全基因表达谱的有价值信息。宏基因组学研究主要关注群落中微生物的基因组内容和鉴定,而宏转录组学则揭示了此类群落中活跃基因的多样性、它们的表达谱以及这些水平如何因环境条件的变化而改变。宏转录组学已应用于不同类型的环境,从人类微生物组研究到植物、动物、土壤和水生系统中的微生物组研究。基于从环境样本中分离的mRNA的宏转录组学,是挖掘具有生物技术相关性基因的真核基因库的合适方法。此外,开发不同的生物信息学流程来分析从宏转录组分析中获得的数据也势在必行。在本综述中,我们总结了应用于土壤环境以研究功能多样性的宏转录组学,并讨论了分离参与有机物降解和对有毒金属具有耐受性的基因的方法、宏转录组学在微生物组研究中的作用、数据分析中使用的各种生物信息学流程以及为获得该方法的生物学意义见解所面临的技术挑战。

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