4.7 Review

Microbial genomics, transcriptomics and proteomics: new discoveries in decomposition research using complementary methods

期刊

APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
卷 98, 期 4, 页码 1531-1537

出版社

SPRINGER
DOI: 10.1007/s00253-013-5457-x

关键词

Decomposition; Genomics; Metagenomics; Metatranscriptomics; Metaproteomics; Saprotrophic fungi and bacteria

资金

  1. Ministry of Education, Youth and Sports of the Czech Republic [LD12048, CZ.1.07/2.3.00/30.0003]
  2. Research Concept of the Institute of Microbiology ASCR [RVO61388971]

向作者/读者索取更多资源

Molecular methods for the analysis of biomolecules have undergone rapid technological development in the last decade. The advent of next-generation sequencing methods and improvements in instrumental resolution enabled the analysis of complex transcriptome, proteome and metabolome data, as well as a detailed annotation of microbial genomes. The mechanisms of decomposition by model fungi have been described in unprecedented detail by the combination of genome sequencing, transcriptomics and proteomics. The increasing number of available genomes for fungi and bacteria shows that the genetic potential for decomposition of organic matter is widespread among taxonomically diverse microbial taxa, while expression studies document the importance of the regulation of expression in decomposition efficiency. Importantly, high-throughput methods of nucleic acid analysis used for the analysis of metagenomes and metatranscriptomes indicate the high diversity of decomposer communities in natural habitats and their taxonomic composition. Today, the metaproteomics of natural habitats is of interest. In combination with advanced analytical techniques to explore the products of decomposition and the accumulation of information on the genomes of environmentally relevant microorganisms, advanced methods in microbial ecophysiology should increase our understanding of the complex processes of organic matter transformation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据