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Coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery

BACKGROUND: Microbial communities are ubiquitous throughout ecosystems and are commensal with hosts across taxonomic boundaries. Environmental and species-specific microbiomes are instrumental in maintaining ecosystem and host health, respectively. The introduction of pathogenic microbes that shift...

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Autores principales: Timmins-Schiffman, Emma, White, Samuel J., Thompson, Rhonda Elliott, Vadopalas, Brent, Eudeline, Benoit, Nunn, Brook L., Roberts, Steven B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066469/
https://www.ncbi.nlm.nih.gov/pubmed/33902744
http://dx.doi.org/10.1186/s40793-021-00376-z
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author Timmins-Schiffman, Emma
White, Samuel J.
Thompson, Rhonda Elliott
Vadopalas, Brent
Eudeline, Benoit
Nunn, Brook L.
Roberts, Steven B.
author_facet Timmins-Schiffman, Emma
White, Samuel J.
Thompson, Rhonda Elliott
Vadopalas, Brent
Eudeline, Benoit
Nunn, Brook L.
Roberts, Steven B.
author_sort Timmins-Schiffman, Emma
collection PubMed
description BACKGROUND: Microbial communities are ubiquitous throughout ecosystems and are commensal with hosts across taxonomic boundaries. Environmental and species-specific microbiomes are instrumental in maintaining ecosystem and host health, respectively. The introduction of pathogenic microbes that shift microbiome community structure can lead to illness and death. Understanding the dynamics of microbiomes across a diversity of environments and hosts will help us to better understand which taxa forecast survival and which forecast mortality events. RESULTS: We characterized the bacterial community microbiome in the water of a commercial shellfish hatchery in Washington state, USA, where the hatchery has been plagued by recurring and unexplained larval mortality events. By applying the complementary methods of metagenomics and metaproteomics we were able to more fully characterize the bacterial taxa in the hatchery at high (pH 8.2) and low (pH 7.1) pH that were metabolically active versus present but not contributing metabolically. There were shifts in the taxonomy and functional profile of the microbiome between pH and over time. Based on detected metagenomic reads and metaproteomic peptide spectral matches, some taxa were more metabolically active than expected based on presence alone (Deltaproteobacteria, Alphaproteobacteria) and some were less metabolically active than expected (e.g., Betaproteobacteria, Cytophagia). There was little correlation between potential and realized metabolic function based on Gene Ontology analysis of detected genes and peptides. CONCLUSION: The complementary methods of metagenomics and metaproteomics contribute to a more full characterization of bacterial taxa that are potentially active versus truly metabolically active and thus impact water quality and inter-trophic relationships. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40793-021-00376-z.
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spelling pubmed-80664692021-04-26 Coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery Timmins-Schiffman, Emma White, Samuel J. Thompson, Rhonda Elliott Vadopalas, Brent Eudeline, Benoit Nunn, Brook L. Roberts, Steven B. Environ Microbiome Research Article BACKGROUND: Microbial communities are ubiquitous throughout ecosystems and are commensal with hosts across taxonomic boundaries. Environmental and species-specific microbiomes are instrumental in maintaining ecosystem and host health, respectively. The introduction of pathogenic microbes that shift microbiome community structure can lead to illness and death. Understanding the dynamics of microbiomes across a diversity of environments and hosts will help us to better understand which taxa forecast survival and which forecast mortality events. RESULTS: We characterized the bacterial community microbiome in the water of a commercial shellfish hatchery in Washington state, USA, where the hatchery has been plagued by recurring and unexplained larval mortality events. By applying the complementary methods of metagenomics and metaproteomics we were able to more fully characterize the bacterial taxa in the hatchery at high (pH 8.2) and low (pH 7.1) pH that were metabolically active versus present but not contributing metabolically. There were shifts in the taxonomy and functional profile of the microbiome between pH and over time. Based on detected metagenomic reads and metaproteomic peptide spectral matches, some taxa were more metabolically active than expected based on presence alone (Deltaproteobacteria, Alphaproteobacteria) and some were less metabolically active than expected (e.g., Betaproteobacteria, Cytophagia). There was little correlation between potential and realized metabolic function based on Gene Ontology analysis of detected genes and peptides. CONCLUSION: The complementary methods of metagenomics and metaproteomics contribute to a more full characterization of bacterial taxa that are potentially active versus truly metabolically active and thus impact water quality and inter-trophic relationships. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40793-021-00376-z. BioMed Central 2021-03-31 /pmc/articles/PMC8066469/ /pubmed/33902744 http://dx.doi.org/10.1186/s40793-021-00376-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Timmins-Schiffman, Emma
White, Samuel J.
Thompson, Rhonda Elliott
Vadopalas, Brent
Eudeline, Benoit
Nunn, Brook L.
Roberts, Steven B.
Coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery
title Coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery
title_full Coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery
title_fullStr Coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery
title_full_unstemmed Coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery
title_short Coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery
title_sort coupled microbiome analyses highlights relative functional roles of bacteria in a bivalve hatchery
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066469/
https://www.ncbi.nlm.nih.gov/pubmed/33902744
http://dx.doi.org/10.1186/s40793-021-00376-z
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