Bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western Antarctic Peninsula
Bacterial community structure can be combined with observations of ecophysiological data to build predictive models of microbial ecosystem function. These models are useful for understanding how function might change in response to a changing environment. Here we use five spring–summer seasons of ba...
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ftpubmed:oai:pubmedcentral.nih.gov:5437343 2023-05-15T13:46:05+02:00 Bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western Antarctic Peninsula Bowman, Jeff S Amaral-Zettler, Linda A J Rich, Jeremy M Luria, Catherine Ducklow, Hugh W 2017-06 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437343/ http://www.ncbi.nlm.nih.gov/pubmed/28106879 https://doi.org/10.1038/ismej.2016.204 en eng Nature Publishing Group http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437343/ http://www.ncbi.nlm.nih.gov/pubmed/28106879 http://dx.doi.org/10.1038/ismej.2016.204 Copyright © 2017 International Society for Microbial Ecology Original Article Text 2017 ftpubmed https://doi.org/10.1038/ismej.2016.204 2018-06-03T00:08:38Z Bacterial community structure can be combined with observations of ecophysiological data to build predictive models of microbial ecosystem function. These models are useful for understanding how function might change in response to a changing environment. Here we use five spring–summer seasons of bacterial community structure and flow cytometry data from a productive coastal site along the western Antarctic Peninsula to construct models of bacterial production (BP), an ecosystem function that heterotrophic bacteria provide. Through a novel application of emergent self-organizing maps we identified eight recurrent modes in the structure of the bacterial community. A model that combined bacterial abundance, mode and the fraction of cells belonging to the high nucleic acid population (fHNA; R2=0.730, P<0.001) best described BP. Abrupt transitions between modes during the 2013–2014 spring–summer season corresponded to rapid shifts in fHNA. We conclude that parameterizing community structure data via segmentation can yield useful insights into microbial ecosystem function and ecosystem processes. Text Antarc* Antarctic Antarctic Peninsula PubMed Central (PMC) Antarctic Antarctic Peninsula The ISME Journal 11 6 1460 1471 |
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English |
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Original Article |
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Original Article Bowman, Jeff S Amaral-Zettler, Linda A J Rich, Jeremy M Luria, Catherine Ducklow, Hugh W Bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western Antarctic Peninsula |
topic_facet |
Original Article |
description |
Bacterial community structure can be combined with observations of ecophysiological data to build predictive models of microbial ecosystem function. These models are useful for understanding how function might change in response to a changing environment. Here we use five spring–summer seasons of bacterial community structure and flow cytometry data from a productive coastal site along the western Antarctic Peninsula to construct models of bacterial production (BP), an ecosystem function that heterotrophic bacteria provide. Through a novel application of emergent self-organizing maps we identified eight recurrent modes in the structure of the bacterial community. A model that combined bacterial abundance, mode and the fraction of cells belonging to the high nucleic acid population (fHNA; R2=0.730, P<0.001) best described BP. Abrupt transitions between modes during the 2013–2014 spring–summer season corresponded to rapid shifts in fHNA. We conclude that parameterizing community structure data via segmentation can yield useful insights into microbial ecosystem function and ecosystem processes. |
format |
Text |
author |
Bowman, Jeff S Amaral-Zettler, Linda A J Rich, Jeremy M Luria, Catherine Ducklow, Hugh W |
author_facet |
Bowman, Jeff S Amaral-Zettler, Linda A J Rich, Jeremy M Luria, Catherine Ducklow, Hugh W |
author_sort |
Bowman, Jeff S |
title |
Bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western Antarctic Peninsula |
title_short |
Bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western Antarctic Peninsula |
title_full |
Bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western Antarctic Peninsula |
title_fullStr |
Bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western Antarctic Peninsula |
title_full_unstemmed |
Bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western Antarctic Peninsula |
title_sort |
bacterial community segmentation facilitates the prediction of ecosystem function along the coast of the western antarctic peninsula |
publisher |
Nature Publishing Group |
publishDate |
2017 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437343/ http://www.ncbi.nlm.nih.gov/pubmed/28106879 https://doi.org/10.1038/ismej.2016.204 |
geographic |
Antarctic Antarctic Peninsula |
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Antarctic Antarctic Peninsula |
genre |
Antarc* Antarctic Antarctic Peninsula |
genre_facet |
Antarc* Antarctic Antarctic Peninsula |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437343/ http://www.ncbi.nlm.nih.gov/pubmed/28106879 http://dx.doi.org/10.1038/ismej.2016.204 |
op_rights |
Copyright © 2017 International Society for Microbial Ecology |
op_doi |
https://doi.org/10.1038/ismej.2016.204 |
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The ISME Journal |
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11 |
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6 |
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1460 |
op_container_end_page |
1471 |
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1766236557347389440 |