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
- Publisher:
- Nature Research
- Publication Type:
- Journal Article
- Citation:
- Nature Communications, 2021, 112, (1), pp. 11-12
- Issue Date:
- 2021-04-13
Open Access
Copyright Clearance Process
- Recently Added
- In Progress
- Open Access
This item is open access.
Full metadata record
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.
Please use this identifier to cite or link to this item:
Download statistics for the last 12 months
Not enough data to produce graph