Bioenergetic mapping of 'healthy microbiomes' via compound processing potential imprinted in gut and soil metagenomes.

Bioenergetic mapping Compound processing potential Healthy microbiome Human health Metagenomics van Krevelen diagram

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
29 May 2024
Historique:
received: 27 03 2024
revised: 24 05 2024
accepted: 24 05 2024
medline: 1 6 2024
pubmed: 1 6 2024
entrez: 31 5 2024
Statut: aheadofprint

Résumé

Despite mounting evidence of their importance in human health and ecosystem functioning, the definition and measurement of 'healthy microbiomes' remain unclear. More advanced knowledge exists on health associations for compounds used or produced by microbes. Environmental microbiome exposures (especially via soils) also help shape, and may supplement, the functional capacity of human microbiomes. Given the synchronous interaction between microbes, their feedstocks, and micro-environments, with functional genes facilitating chemical transformations, our objective was to examine microbiomes in terms of their capacity to process compounds relevant to human health. Here we integrate functional genomics and biochemistry frameworks to derive new quantitative measures of in silico potential for human gut and environmental soil metagenomes to process a panel of major compound classes (e.g., lipids, carbohydrates) and selected biomolecules (e.g., vitamins, short-chain fatty acids) linked to human health. Metagenome functional potential profile data were translated into a universal compound mapping 'landscape' based on bioenergetic van Krevelen mapping of function-level meta-compounds and corresponding functional relative abundances, reflecting imprinted genetic capacity of microbiomes to metabolize an array of different compounds. We show that measures of 'compound processing potential' associated with human health and disease (examining atherosclerotic cardiovascular disease, colorectal cancer, type 2 diabetes and anxious-depressive behavior case studies), and displayed seemingly predictable shifts along gradients of ecological disturbance in plant-soil ecosystems (three case studies). Ecosystem quality explained 60-92 % of variation in soil metagenome compound processing potential measures in a post-mining restoration case study dataset. With growing knowledge of the varying proficiency of environmental microbiota to process human health associated compounds, we might design environmental interventions or nature prescriptions to modulate our exposures, thereby advancing microbiota-oriented approaches to human health. Compound processing potential offers a simplified, integrative approach for applying metagenomics in ongoing efforts to understand and quantify the role of microbiota in environmental- and human-health.

Identifiants

pubmed: 38821286
pii: S0048-9697(24)03690-8
doi: 10.1016/j.scitotenv.2024.173543
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

173543

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Craig Liddicoat (C)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia. Electronic address: craig.liddicoat@flinders.edu.au.

Robert A Edwards (RA)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.

Michael Roach (M)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.

Jake M Robinson (JM)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.

Kiri Joy Wallace (KJ)

Environmental Research Institute, University of Waikato, Hamilton, Aotearoa, New Zealand.

Andrew D Barnes (AD)

Environmental Research Institute, University of Waikato, Hamilton, Aotearoa, New Zealand.

Joel Brame (J)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.

Anna Heintz-Buschart (A)

Swammerdam Institute for Life Sciences, University of Amsterdam, 1098 XH Amsterdam, the Netherlands.

Timothy R Cavagnaro (TR)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.

Elizabeth A Dinsdale (EA)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.

Michael P Doane (MP)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.

Nico Eisenhauer (N)

German Centre for Integrative Biodiversity Research (iDiv), 04103 Leipzig, Germany; Institute of Biology, Leipzig University, 04103 Leipzig, Germany.

Grace Mitchell (G)

Environmental Research Institute, University of Waikato, Hamilton, Aotearoa, New Zealand; Manaaki Whenua - Landcare Research, Hamilton, Aotearoa, New Zealand.

Bibishan Rai (B)

Environmental Research Institute, University of Waikato, Hamilton, Aotearoa, New Zealand.

Sunita A Ramesh (SA)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.

Martin F Breed (MF)

College of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.

Classifications MeSH