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Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes

Deep-sea hydrothermal vents are abundant on the ocean floor and play important roles in ocean biogeochemistry. In vent ecosystems such as hydrothermal plumes, microorganisms rely on reduced chemicals and gases in hydrothermal fluids to fuel primary production and form diverse and complex microbial c...

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Autores principales: Kuppa Baskaran, Dinesh Kumar, Umale, Shreyansh, Zhou, Zhichao, Raman, Karthik, Anantharaman, Karthik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148797/
https://www.ncbi.nlm.nih.gov/pubmed/37120693
http://dx.doi.org/10.1038/s43705-023-00242-8
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author Kuppa Baskaran, Dinesh Kumar
Umale, Shreyansh
Zhou, Zhichao
Raman, Karthik
Anantharaman, Karthik
author_facet Kuppa Baskaran, Dinesh Kumar
Umale, Shreyansh
Zhou, Zhichao
Raman, Karthik
Anantharaman, Karthik
author_sort Kuppa Baskaran, Dinesh Kumar
collection PubMed
description Deep-sea hydrothermal vents are abundant on the ocean floor and play important roles in ocean biogeochemistry. In vent ecosystems such as hydrothermal plumes, microorganisms rely on reduced chemicals and gases in hydrothermal fluids to fuel primary production and form diverse and complex microbial communities. However, microbial interactions that drive these complex microbiomes remain poorly understood. Here, we use microbiomes from the Guaymas Basin hydrothermal system in the Pacific Ocean to shed more light on the key species in these communities and their interactions. We built metabolic models from metagenomically assembled genomes (MAGs) and infer possible metabolic exchanges and horizontal gene transfer (HGT) events within the community. We highlight possible archaea–archaea and archaea–bacteria interactions and their contributions to the robustness of the community. Cellobiose, D-Mannose 1-phosphate, O(2), CO(2), and H(2)S were among the most exchanged metabolites. These interactions enhanced the metabolic capabilities of the community by exchange of metabolites that cannot be produced by any other community member. Archaea from the DPANN group stood out as key microbes, benefiting significantly as acceptors in the community. Overall, our study provides key insights into the microbial interactions that drive community structure and organisation in complex hydrothermal plume microbiomes.
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spelling pubmed-101487972023-05-01 Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes Kuppa Baskaran, Dinesh Kumar Umale, Shreyansh Zhou, Zhichao Raman, Karthik Anantharaman, Karthik ISME Commun Article Deep-sea hydrothermal vents are abundant on the ocean floor and play important roles in ocean biogeochemistry. In vent ecosystems such as hydrothermal plumes, microorganisms rely on reduced chemicals and gases in hydrothermal fluids to fuel primary production and form diverse and complex microbial communities. However, microbial interactions that drive these complex microbiomes remain poorly understood. Here, we use microbiomes from the Guaymas Basin hydrothermal system in the Pacific Ocean to shed more light on the key species in these communities and their interactions. We built metabolic models from metagenomically assembled genomes (MAGs) and infer possible metabolic exchanges and horizontal gene transfer (HGT) events within the community. We highlight possible archaea–archaea and archaea–bacteria interactions and their contributions to the robustness of the community. Cellobiose, D-Mannose 1-phosphate, O(2), CO(2), and H(2)S were among the most exchanged metabolites. These interactions enhanced the metabolic capabilities of the community by exchange of metabolites that cannot be produced by any other community member. Archaea from the DPANN group stood out as key microbes, benefiting significantly as acceptors in the community. Overall, our study provides key insights into the microbial interactions that drive community structure and organisation in complex hydrothermal plume microbiomes. Nature Publishing Group UK 2023-04-29 /pmc/articles/PMC10148797/ /pubmed/37120693 http://dx.doi.org/10.1038/s43705-023-00242-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kuppa Baskaran, Dinesh Kumar
Umale, Shreyansh
Zhou, Zhichao
Raman, Karthik
Anantharaman, Karthik
Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes
title Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes
title_full Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes
title_fullStr Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes
title_full_unstemmed Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes
title_short Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes
title_sort metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148797/
https://www.ncbi.nlm.nih.gov/pubmed/37120693
http://dx.doi.org/10.1038/s43705-023-00242-8
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