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Freshwater carbon and nutrient cycles revealed through reconstructed population genomes
Although microbes mediate much of the biogeochemical cycling in freshwater, the categories of carbon and nutrients currently used in models of freshwater biogeochemical cycling are too broad to be relevant on a microbial scale. One way to improve these models is to incorporate microbial data. Here,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292386/ https://www.ncbi.nlm.nih.gov/pubmed/30581671 http://dx.doi.org/10.7717/peerj.6075 |
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author | Linz, Alexandra M. He, Shaomei Stevens, Sarah L.R. Anantharaman, Karthik Rohwer, Robin R. Malmstrom, Rex R. Bertilsson, Stefan McMahon, Katherine D. |
author_facet | Linz, Alexandra M. He, Shaomei Stevens, Sarah L.R. Anantharaman, Karthik Rohwer, Robin R. Malmstrom, Rex R. Bertilsson, Stefan McMahon, Katherine D. |
author_sort | Linz, Alexandra M. |
collection | PubMed |
description | Although microbes mediate much of the biogeochemical cycling in freshwater, the categories of carbon and nutrients currently used in models of freshwater biogeochemical cycling are too broad to be relevant on a microbial scale. One way to improve these models is to incorporate microbial data. Here, we analyze both genes and genomes from three metagenomic time series and propose specific roles for microbial taxa in freshwater biogeochemical cycles. Our metagenomic time series span multiple years and originate from a eutrophic lake (Lake Mendota) and a humic lake (Trout Bog Lake) with contrasting water chemistry. Our analysis highlights the role of polyamines in the nitrogen cycle, the diversity of diazotrophs between lake types, the balance of assimilatory vs. dissimilatory sulfate reduction in freshwater, the various associations between types of phototrophy and carbon fixation, and the density and diversity of glycoside hydrolases in freshwater microbes. We also investigated aspects of central metabolism such as hydrogen metabolism, oxidative phosphorylation, methylotrophy, and sugar degradation. Finally, by analyzing the dynamics over time in nitrogen fixation genes and Cyanobacteria genomes, we show that the potential for nitrogen fixation is linked to specific populations in Lake Mendota. This work represents an important step towards incorporating microbial data into ecosystem models and provides a better understanding of how microbes may participate in freshwater biogeochemical cycling. |
format | Online Article Text |
id | pubmed-6292386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62923862018-12-21 Freshwater carbon and nutrient cycles revealed through reconstructed population genomes Linz, Alexandra M. He, Shaomei Stevens, Sarah L.R. Anantharaman, Karthik Rohwer, Robin R. Malmstrom, Rex R. Bertilsson, Stefan McMahon, Katherine D. PeerJ Ecosystem Science Although microbes mediate much of the biogeochemical cycling in freshwater, the categories of carbon and nutrients currently used in models of freshwater biogeochemical cycling are too broad to be relevant on a microbial scale. One way to improve these models is to incorporate microbial data. Here, we analyze both genes and genomes from three metagenomic time series and propose specific roles for microbial taxa in freshwater biogeochemical cycles. Our metagenomic time series span multiple years and originate from a eutrophic lake (Lake Mendota) and a humic lake (Trout Bog Lake) with contrasting water chemistry. Our analysis highlights the role of polyamines in the nitrogen cycle, the diversity of diazotrophs between lake types, the balance of assimilatory vs. dissimilatory sulfate reduction in freshwater, the various associations between types of phototrophy and carbon fixation, and the density and diversity of glycoside hydrolases in freshwater microbes. We also investigated aspects of central metabolism such as hydrogen metabolism, oxidative phosphorylation, methylotrophy, and sugar degradation. Finally, by analyzing the dynamics over time in nitrogen fixation genes and Cyanobacteria genomes, we show that the potential for nitrogen fixation is linked to specific populations in Lake Mendota. This work represents an important step towards incorporating microbial data into ecosystem models and provides a better understanding of how microbes may participate in freshwater biogeochemical cycling. PeerJ Inc. 2018-12-10 /pmc/articles/PMC6292386/ /pubmed/30581671 http://dx.doi.org/10.7717/peerj.6075 Text en © 2018 Linz 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 | Ecosystem Science Linz, Alexandra M. He, Shaomei Stevens, Sarah L.R. Anantharaman, Karthik Rohwer, Robin R. Malmstrom, Rex R. Bertilsson, Stefan McMahon, Katherine D. Freshwater carbon and nutrient cycles revealed through reconstructed population genomes |
title | Freshwater carbon and nutrient cycles revealed through reconstructed population genomes |
title_full | Freshwater carbon and nutrient cycles revealed through reconstructed population genomes |
title_fullStr | Freshwater carbon and nutrient cycles revealed through reconstructed population genomes |
title_full_unstemmed | Freshwater carbon and nutrient cycles revealed through reconstructed population genomes |
title_short | Freshwater carbon and nutrient cycles revealed through reconstructed population genomes |
title_sort | freshwater carbon and nutrient cycles revealed through reconstructed population genomes |
topic | Ecosystem Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292386/ https://www.ncbi.nlm.nih.gov/pubmed/30581671 http://dx.doi.org/10.7717/peerj.6075 |
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