Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities
ABSTRACT Metaproteomics is the large-scale identification and quantification of proteins from microbial communities and thus provides direct insight into the phenotypes of microorganisms on the molecular level. Initially, metaproteomics was mainly used to assess the “expressed” metabolism and physio...
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American Society for Microbiology
2019
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oai:doaj.org-article:73924d680a094c3cb5a58085d976d9ca2021-12-02T19:46:18ZMetaproteomics: Much More than Measuring Gene Expression in Microbial Communities10.1128/mSystems.00115-192379-5077https://doaj.org/article/73924d680a094c3cb5a58085d976d9ca2019-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00115-19https://doaj.org/toc/2379-5077ABSTRACT Metaproteomics is the large-scale identification and quantification of proteins from microbial communities and thus provides direct insight into the phenotypes of microorganisms on the molecular level. Initially, metaproteomics was mainly used to assess the “expressed” metabolism and physiology of microbial community members. However, recently developed metaproteomic tools allow quantification of per-species biomass to determine community structure, in situ carbon sources of community members, and the uptake of labeled substrates by community members. In this perspective, I provide a brief overview of the questions that we can currently address, as well as new metaproteomics-based approaches that we and others are developing to address even more questions in the study of microbial communities and plant and animal microbiota. I also highlight some areas and technologies where I anticipate developments and potentially major breakthroughs in the next 5 years and beyond.Manuel KleinerAmerican Society for MicrobiologyarticleLC-MSmetagenomicsmetaproteomicsmetatranscriptomicsmicrobiomemicrobiotaMicrobiologyQR1-502ENmSystems, Vol 4, Iss 3 (2019) |
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LC-MS metagenomics metaproteomics metatranscriptomics microbiome microbiota Microbiology QR1-502 |
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LC-MS metagenomics metaproteomics metatranscriptomics microbiome microbiota Microbiology QR1-502 Manuel Kleiner Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities |
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ABSTRACT Metaproteomics is the large-scale identification and quantification of proteins from microbial communities and thus provides direct insight into the phenotypes of microorganisms on the molecular level. Initially, metaproteomics was mainly used to assess the “expressed” metabolism and physiology of microbial community members. However, recently developed metaproteomic tools allow quantification of per-species biomass to determine community structure, in situ carbon sources of community members, and the uptake of labeled substrates by community members. In this perspective, I provide a brief overview of the questions that we can currently address, as well as new metaproteomics-based approaches that we and others are developing to address even more questions in the study of microbial communities and plant and animal microbiota. I also highlight some areas and technologies where I anticipate developments and potentially major breakthroughs in the next 5 years and beyond. |
format |
article |
author |
Manuel Kleiner |
author_facet |
Manuel Kleiner |
author_sort |
Manuel Kleiner |
title |
Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities |
title_short |
Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities |
title_full |
Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities |
title_fullStr |
Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities |
title_full_unstemmed |
Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities |
title_sort |
metaproteomics: much more than measuring gene expression in microbial communities |
publisher |
American Society for Microbiology |
publishDate |
2019 |
url |
https://doaj.org/article/73924d680a094c3cb5a58085d976d9ca |
work_keys_str_mv |
AT manuelkleiner metaproteomicsmuchmorethanmeasuringgeneexpressioninmicrobialcommunities |
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1718376032022560768 |