基因组
微生物群
生物
微生物生态学
微生物
微生物种群生物学
计算生物学
生物技术
生态学
基因
细菌
遗传学
作者
Ramya Sree Boddu,Ajay Prabhakar K,K. Divakar
标识
DOI:10.1080/01490451.2021.2017079
摘要
Soil microorganisms are the well-known and richest source of biocatalysts/enzymes, which plays a vital role in the industrial and agriculture sector. The soil microbes or enzymes from these microbes were known to perform several functions like urea hydrolysis, denitrification, sulfate reduction, promoting plant growth by nitrogen fixation, carbon cycling, organic matter/micronutrient recycling, and removal of metal ions. Soil microbiome studied through traditional microbiological methods failed to cover and extract the whole genetic information of the chosen microbiome, due to the major limitations in mimicking their growth/cultivation conditions. Metagenomics is a molecular tool applied to directly extract and study the genetic material(DNA/RNA) from the chosen microbiome, revealing microbial population and all possible gene information. Two different metagenomic approaches are functional metagenomics and sequence-based metagenomics. This review discusses the overview of functional metagenomics to obtain gene information through functional screening and sequence-based metagenomic approach to directly identify the sequence of DNA that reveals gene information and microbial community/soil microbiome.
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