Reframing trait trade-offs in marine microbes

Levine, NM; Doblin, MA; Collins, S

Reframing trait trade-offs in marine microbes

Levine, NM Doblin, MA Collins, S

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Publisher:: SPRINGERNATURE
Publication Type:: Journal Article
Citation:: Communications Earth and Environment, 2024, 5, (1)
Issue Date:: 2024-12-01

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Field	Value	Language
dc.contributor.author	Levine, NM
dc.contributor.author	Doblin, MA
dc.contributor.author	Collins, S
dc.date.accessioned	2025-01-16T03:00:46Z
dc.date.available	2025-01-16T03:00:46Z
dc.date.issued	2024-12-01
dc.identifier.citation	Communications Earth and Environment, 2024, 5, (1)
dc.identifier.issn	2662-4435
dc.identifier.issn	2662-4435
dc.identifier.uri	http://hdl.handle.net/10453/183766
dc.description.abstract	The oceans sequester a vast amount of carbon thus playing a central role in the global carbon cycle. Assessing how carbon cycling will be impacted by climate change requires an improved understanding of microbial dynamics, which are responsible for most carbon transformations in the oceans. Current numerical models used for predicting future states represent simplified microbial phenotypes and thus may not produce robust predictions of microbial communities. We propose reframing approaches for studying microbial trait change to allow for selection on multi-trait phenotypes. Integrating statistical approaches and trait-based models will allow for the incorporation of evolution into carbon cycle predictions.
dc.language	English
dc.publisher	SPRINGERNATURE
dc.relation.ispartof	Communications Earth and Environment
dc.relation.isbasedon	10.1038/s43247-024-01381-z
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	37 Earth sciences
dc.subject.classification	41 Environmental sciences
dc.title	Reframing trait trade-offs in marine microbes
dc.type	Journal Article
utslib.citation.volume	5
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Science
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Climate Change Cluster Research Strength (C3)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Technology in Water and Wastewater (CTWW)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Technology in Water and Wastewater (CTWW)/Centre for Technology in Water and Wastewater (CTWW) Associate Members
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2025-01-16T03:00:44Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	5
utslib.citation.issue	1

Abstract:

The oceans sequester a vast amount of carbon thus playing a central role in the global carbon cycle. Assessing how carbon cycling will be impacted by climate change requires an improved understanding of microbial dynamics, which are responsible for most carbon transformations in the oceans. Current numerical models used for predicting future states represent simplified microbial phenotypes and thus may not produce robust predictions of microbial communities. We propose reframing approaches for studying microbial trait change to allow for selection on multi-trait phenotypes. Integrating statistical approaches and trait-based models will allow for the incorporation of evolution into carbon cycle predictions.

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http://hdl.handle.net/10453/183766