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Niche distribution and influence of environmental parameters in marine microbial communities: a systematic review
Associations between microorganisms occur extensively throughout Earth’s oceans. Understanding how microbial communities are assembled and how the presence or absence of species is related to that of others are central goals of microbial ecology. Here, we investigate co-occurrence associations betwe...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476133/ https://www.ncbi.nlm.nih.gov/pubmed/26157601 http://dx.doi.org/10.7717/peerj.1008 |
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author | Coutinho, Felipe H. Meirelles, Pedro M. Moreira, Ana Paula B. Paranhos, Rodolfo P. Dutilh, Bas E. Thompson, Fabiano L. |
author_facet | Coutinho, Felipe H. Meirelles, Pedro M. Moreira, Ana Paula B. Paranhos, Rodolfo P. Dutilh, Bas E. Thompson, Fabiano L. |
author_sort | Coutinho, Felipe H. |
collection | PubMed |
description | Associations between microorganisms occur extensively throughout Earth’s oceans. Understanding how microbial communities are assembled and how the presence or absence of species is related to that of others are central goals of microbial ecology. Here, we investigate co-occurrence associations between marine prokaryotes by combining 180 new and publicly available metagenomic datasets from different oceans in a large-scale meta-analysis. A co-occurrence network was created by calculating correlation scores between the abundances of microorganisms in metagenomes. A total of 1,906 correlations amongst 297 organisms were detected, segregating them into 11 major groups that occupy distinct ecological niches. Additionally, by analyzing the oceanographic parameters measured for a selected number of sampling sites, we characterized the influence of environmental variables over each of these 11 groups. Clustering organisms into groups of taxa that have similar ecology, allowed the detection of several significant correlations that could not be observed for the taxa individually. |
format | Online Article Text |
id | pubmed-4476133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-44761332015-07-08 Niche distribution and influence of environmental parameters in marine microbial communities: a systematic review Coutinho, Felipe H. Meirelles, Pedro M. Moreira, Ana Paula B. Paranhos, Rodolfo P. Dutilh, Bas E. Thompson, Fabiano L. PeerJ Computational Biology Associations between microorganisms occur extensively throughout Earth’s oceans. Understanding how microbial communities are assembled and how the presence or absence of species is related to that of others are central goals of microbial ecology. Here, we investigate co-occurrence associations between marine prokaryotes by combining 180 new and publicly available metagenomic datasets from different oceans in a large-scale meta-analysis. A co-occurrence network was created by calculating correlation scores between the abundances of microorganisms in metagenomes. A total of 1,906 correlations amongst 297 organisms were detected, segregating them into 11 major groups that occupy distinct ecological niches. Additionally, by analyzing the oceanographic parameters measured for a selected number of sampling sites, we characterized the influence of environmental variables over each of these 11 groups. Clustering organisms into groups of taxa that have similar ecology, allowed the detection of several significant correlations that could not be observed for the taxa individually. PeerJ Inc. 2015-06-16 /pmc/articles/PMC4476133/ /pubmed/26157601 http://dx.doi.org/10.7717/peerj.1008 Text en © 2015 Coutinho et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Computational Biology Coutinho, Felipe H. Meirelles, Pedro M. Moreira, Ana Paula B. Paranhos, Rodolfo P. Dutilh, Bas E. Thompson, Fabiano L. Niche distribution and influence of environmental parameters in marine microbial communities: a systematic review |
title | Niche distribution and influence of environmental parameters in marine microbial communities: a systematic review |
title_full | Niche distribution and influence of environmental parameters in marine microbial communities: a systematic review |
title_fullStr | Niche distribution and influence of environmental parameters in marine microbial communities: a systematic review |
title_full_unstemmed | Niche distribution and influence of environmental parameters in marine microbial communities: a systematic review |
title_short | Niche distribution and influence of environmental parameters in marine microbial communities: a systematic review |
title_sort | niche distribution and influence of environmental parameters in marine microbial communities: a systematic review |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476133/ https://www.ncbi.nlm.nih.gov/pubmed/26157601 http://dx.doi.org/10.7717/peerj.1008 |
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