4.5 Review

Soil and leaf litter metaproteomics-a brief guideline from sampling to understanding

期刊

FEMS MICROBIOLOGY ECOLOGY
卷 92, 期 11, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/femsec/fiw180

关键词

environmental proteomics; protein extraction; matrix effects; bioinformatics; functional databases; meta-analysis

资金

  1. Austrian Science Fund FWF [P 25438]
  2. Austrian Climate Research Program [KR13AC6K11008]
  3. Austrian Science Fund (FWF) [P25438] Funding Source: Austrian Science Fund (FWF)
  4. Austrian Science Fund (FWF) [P 25438] Funding Source: researchfish

向作者/读者索取更多资源

The increasing application of soil metaproteomics is providing unprecedented, in-depth characterization of the composition and functionality of in situ microbial communities. Despite recent advances in high-resolution mass spectrometry, soil metaproteomics still suffers from a lack of effective and reproducible protein extraction protocols and standardized data analyses. This review discusses the opportunities and limitations of selected techniques in soil-, and leaf litter metaproteomics, and presents a step-by-step guideline on their application, covering sampling, sample preparation, extraction and data evaluation strategies. In addition, we present recent applications of soil metaproteomics and discuss how such approaches, linking phylogenetics and functionality, can help gain deeper insights into terrestrial microbial ecology. Finally, we strongly recommend that to maximize the insights environmental metaproteomics may provide, such methods should be employed within a holistic experimental approach considering relevant aboveground and belowground ecosystem parameters.The presented review provides an overview of the problems that may arise during the various soil and litter metaproteomic analyses steps and summarizes our current knowledge on possible solutions strategies.The presented review provides an overview of the problems that may arise during the various soil and litter metaproteomic analyses steps and summarizes our current knowledge on possible solutions strategies.

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