Metabolome-Proteome Differentiation Coupled to Microbial Divergence

ABSTRACT Tandem high-throughput proteomics and metabolomics were employed to functionally characterize natural microbial biofilm communities. Distinct molecular signatures exist for each analyzed sample. Deconvolution of the high-resolution molecular data demonstrates that identified proteins and de...

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Autores principales:	Paul Wilmes, Benjamin P. Bowen, Brian C. Thomas, Ryan S. Mueller, Vincent J. Denef, Nathan C. VerBerkmoes, Robert L. Hettich, Trent R. Northen, Jillian F. Banfield
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2010
Materias:	Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/75ed7718f65944989162f880c77e7fe2
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spelling	oai:doaj.org-article:75ed7718f65944989162f880c77e7fe22021-11-15T15:38:17ZMetabolome-Proteome Differentiation Coupled to Microbial Divergence10.1128/mBio.00246-102150-7511https://doaj.org/article/75ed7718f65944989162f880c77e7fe22010-12-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.00246-10https://doaj.org/toc/2150-7511ABSTRACT Tandem high-throughput proteomics and metabolomics were employed to functionally characterize natural microbial biofilm communities. Distinct molecular signatures exist for each analyzed sample. Deconvolution of the high-resolution molecular data demonstrates that identified proteins and detected metabolites exhibit organism-specific correlation patterns. These patterns are reflective of the functional differentiation of two bacterial species that share the same genus and that co-occur in the sampled microbial communities. Our analyses indicate that the two species have similar niche breadths and are not in strong competition with one another. IMPORTANCE Natural microbial assemblages represent dynamic consortia that exhibit extensive complexity at all levels. In the present study, we demonstrate that correlations between protein and metabolite abundances allow the deconvolution of complex molecular data sets into shared and organism-specific contingents. We demonstrate that evolutionary divergence is associated with the restructuring of cellular metabolic networks, which in turn allows bacterial species to occupy distinct ecological niches. The apparent lack of interspecific competition may explain the extensive population-level genetic heterogeneity observed extensively within microbial communities. The reported findings have broad implications for the in-depth investigation of the ecology and evolution of distinct microbial community members and for leveraging the solution of cryptic metabolic processes in the future.Paul WilmesBenjamin P. BowenBrian C. ThomasRyan S. MuellerVincent J. DenefNathan C. VerBerkmoesRobert L. HettichTrent R. NorthenJillian F. BanfieldAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmBio, Vol 1, Iss 5 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbiology QR1-502
spellingShingle	Microbiology QR1-502 Paul Wilmes Benjamin P. Bowen Brian C. Thomas Ryan S. Mueller Vincent J. Denef Nathan C. VerBerkmoes Robert L. Hettich Trent R. Northen Jillian F. Banfield Metabolome-Proteome Differentiation Coupled to Microbial Divergence
description	ABSTRACT Tandem high-throughput proteomics and metabolomics were employed to functionally characterize natural microbial biofilm communities. Distinct molecular signatures exist for each analyzed sample. Deconvolution of the high-resolution molecular data demonstrates that identified proteins and detected metabolites exhibit organism-specific correlation patterns. These patterns are reflective of the functional differentiation of two bacterial species that share the same genus and that co-occur in the sampled microbial communities. Our analyses indicate that the two species have similar niche breadths and are not in strong competition with one another. IMPORTANCE Natural microbial assemblages represent dynamic consortia that exhibit extensive complexity at all levels. In the present study, we demonstrate that correlations between protein and metabolite abundances allow the deconvolution of complex molecular data sets into shared and organism-specific contingents. We demonstrate that evolutionary divergence is associated with the restructuring of cellular metabolic networks, which in turn allows bacterial species to occupy distinct ecological niches. The apparent lack of interspecific competition may explain the extensive population-level genetic heterogeneity observed extensively within microbial communities. The reported findings have broad implications for the in-depth investigation of the ecology and evolution of distinct microbial community members and for leveraging the solution of cryptic metabolic processes in the future.
format	article
author	Paul Wilmes Benjamin P. Bowen Brian C. Thomas Ryan S. Mueller Vincent J. Denef Nathan C. VerBerkmoes Robert L. Hettich Trent R. Northen Jillian F. Banfield
author_facet	Paul Wilmes Benjamin P. Bowen Brian C. Thomas Ryan S. Mueller Vincent J. Denef Nathan C. VerBerkmoes Robert L. Hettich Trent R. Northen Jillian F. Banfield
author_sort	Paul Wilmes
title	Metabolome-Proteome Differentiation Coupled to Microbial Divergence
title_short	Metabolome-Proteome Differentiation Coupled to Microbial Divergence
title_full	Metabolome-Proteome Differentiation Coupled to Microbial Divergence
title_fullStr	Metabolome-Proteome Differentiation Coupled to Microbial Divergence
title_full_unstemmed	Metabolome-Proteome Differentiation Coupled to Microbial Divergence
title_sort	metabolome-proteome differentiation coupled to microbial divergence
publisher	American Society for Microbiology
publishDate	2010
url	https://doaj.org/article/75ed7718f65944989162f880c77e7fe2
work_keys_str_mv	AT paulwilmes metabolomeproteomedifferentiationcoupledtomicrobialdivergence AT benjaminpbowen metabolomeproteomedifferentiationcoupledtomicrobialdivergence AT briancthomas metabolomeproteomedifferentiationcoupledtomicrobialdivergence AT ryansmueller metabolomeproteomedifferentiationcoupledtomicrobialdivergence AT vincentjdenef metabolomeproteomedifferentiationcoupledtomicrobialdivergence AT nathancverberkmoes metabolomeproteomedifferentiationcoupledtomicrobialdivergence AT robertlhettich metabolomeproteomedifferentiationcoupledtomicrobialdivergence AT trentrnorthen metabolomeproteomedifferentiationcoupledtomicrobialdivergence AT jillianfbanfield metabolomeproteomedifferentiationcoupledtomicrobialdivergence
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Metabolome-Proteome Differentiation Coupled to Microbial Divergence

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