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

Author:

Kuppa Baskaran Dinesh Kumar123ORCID,Umale Shreyansh12ORCID,Zhou Zhichao4ORCID,Raman Karthik123ORCID,Anantharaman Karthik4ORCID

Affiliation:

1. Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras , Chennai, India

2. Centre for Integrative Biology and Systems mEdicine (IBSE), Indian Institute of Technology (IIT) Madras , Chennai, India

3. Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras , Chennai, India

4. Department of Bacteriology, University of Wisconsin-Madison , Madison, WI, USA

Abstract

Abstract 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, O2, CO2, and H2S 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.

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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