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Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities

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 m...

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Detalles Bibliográficos
Autor principal: Kleiner, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529545/
https://www.ncbi.nlm.nih.gov/pubmed/31117019
http://dx.doi.org/10.1128/mSystems.00115-19
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author Kleiner, Manuel
author_facet Kleiner, Manuel
author_sort Kleiner, Manuel
collection PubMed
description 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.
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spelling pubmed-65295452019-05-28 Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities Kleiner, Manuel mSystems Perspective 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. American Society for Microbiology 2019-05-21 /pmc/articles/PMC6529545/ /pubmed/31117019 http://dx.doi.org/10.1128/mSystems.00115-19 Text en Copyright © 2019 Kleiner. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Kleiner, Manuel
Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities
title 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_short Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities
title_sort metaproteomics: much more than measuring gene expression in microbial communities
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6529545/
https://www.ncbi.nlm.nih.gov/pubmed/31117019
http://dx.doi.org/10.1128/mSystems.00115-19
work_keys_str_mv AT kleinermanuel metaproteomicsmuchmorethanmeasuringgeneexpressioninmicrobialcommunities