Metabolic pathways inferred from a bacterial marker gene illuminate ecological changes across South Pacific frontal boundaries

Raes, EJ; Karsh, K; Sow, SLS; Ostrowski, M; Brown, MV; van de Kamp, J; Franco-Santos, RM; Bodrossy, L; Waite, AM

Metabolic pathways inferred from a bacterial marker gene illuminate ecological changes across South Pacific frontal boundaries

Raes, EJ Karsh, K Sow, SLS Ostrowski, M

Brown, MV van de Kamp, J Franco-Santos, RM Bodrossy, L Waite, AM

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Publisher:: Nature Research
Publication Type:: Journal Article
Citation:: Nature Communications, 2021, 112, (1), pp. 11-12
Issue Date:: 2021-04-13

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Field	Value	Language
dc.contributor.author	Raes, EJ
dc.contributor.author	Karsh, K
dc.contributor.author	Sow, SLS
dc.contributor.author	Ostrowski, M https://orcid.org/0000-0002-4357-3023
dc.contributor.author	Brown, MV
dc.contributor.author	van de Kamp, J
dc.contributor.author	Franco-Santos, RM
dc.contributor.author	Bodrossy, L
dc.contributor.author	Waite, AM
dc.date.accessioned	2022-02-10T04:22:34Z
dc.date.available	2021-03-09
dc.date.available	2022-02-10T04:22:34Z
dc.date.issued	2021-04-13
dc.identifier.citation	Nature Communications, 2021, 112, (1), pp. 11-12
dc.identifier.issn	2041-1723
dc.identifier.issn	2041-1723
dc.identifier.uri	http://hdl.handle.net/10453/154374
dc.description.abstract	Global oceanographic monitoring initiatives originally measured abiotic essential ocean variables but are currently incorporating biological and metagenomic sampling programs. There is, however, a large knowledge gap on how to infer bacterial functions, the information sought by biogeochemists, ecologists, and modelers, from the bacterial taxonomic information (produced by bacterial marker gene surveys). Here, we provide a correlative understanding of how a bacterial marker gene (16S rRNA) can be used to infer latitudinal trends for metabolic pathways in global monitoring campaigns. From a transect spanning 7000 km in the South Pacific Ocean we infer ten metabolic pathways from 16S rRNA gene sequences and 11 corresponding metagenome samples, which relate to metabolic processes of primary productivity, temperature-regulated thermodynamic effects, coping strategies for nutrient limitation, energy metabolism, and organic matter degradation. This study demonstrates that low-cost, high-throughput bacterial marker gene data, can be used to infer shifts in the metabolic strategies at the community scale.
dc.format	Electronic
dc.language	eng
dc.publisher	Nature Research
dc.relation	http://purl.org/au-research/grants/arc/DP150102326
dc.relation.ispartof	Nature Communications
dc.relation.isbasedon	10.1038/s41467-021-22409-4
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.mesh	Bacteria
dc.subject.mesh	Bacterial Physiological Phenomena
dc.subject.mesh	Biodiversity
dc.subject.mesh	Ecology
dc.subject.mesh	Genes, Bacterial
dc.subject.mesh	Metabolic Networks and Pathways
dc.subject.mesh	Metagenome
dc.subject.mesh	Metagenomics
dc.subject.mesh	Pacific Ocean
dc.subject.mesh	RNA, Ribosomal, 16S
dc.subject.mesh	Sequence Analysis, DNA
dc.subject.mesh	Thermodynamics
dc.subject.mesh	Bacteria
dc.subject.mesh	RNA, Ribosomal, 16S
dc.subject.mesh	Sequence Analysis, DNA
dc.subject.mesh	Ecology
dc.subject.mesh	Biodiversity
dc.subject.mesh	Genes, Bacterial
dc.subject.mesh	Thermodynamics
dc.subject.mesh	Pacific Ocean
dc.subject.mesh	Metabolic Networks and Pathways
dc.subject.mesh	Bacterial Physiological Phenomena
dc.subject.mesh	Metagenome
dc.subject.mesh	Metagenomics
dc.title	Metabolic pathways inferred from a bacterial marker gene illuminate ecological changes across South Pacific frontal boundaries
dc.type	Journal Article
utslib.citation.volume	112
utslib.location.activity	England
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - C3 - Climate Change Cluster
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-02-10T04:22:29Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	112
utslib.citation.issue	1

Abstract:

Global oceanographic monitoring initiatives originally measured abiotic essential ocean variables but are currently incorporating biological and metagenomic sampling programs. There is, however, a large knowledge gap on how to infer bacterial functions, the information sought by biogeochemists, ecologists, and modelers, from the bacterial taxonomic information (produced by bacterial marker gene surveys). Here, we provide a correlative understanding of how a bacterial marker gene (16S rRNA) can be used to infer latitudinal trends for metabolic pathways in global monitoring campaigns. From a transect spanning 7000 km in the South Pacific Ocean we infer ten metabolic pathways from 16S rRNA gene sequences and 11 corresponding metagenome samples, which relate to metabolic processes of primary productivity, temperature-regulated thermodynamic effects, coping strategies for nutrient limitation, energy metabolism, and organic matter degradation. This study demonstrates that low-cost, high-throughput bacterial marker gene data, can be used to infer shifts in the metabolic strategies at the community scale.

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http://hdl.handle.net/10453/154374