Multivariate trait analysis reveals diatom plasticity constrained to a reduced set of biological axes

Argyle, PA; Walworth, NG; Hinners, J; Collins, S; Levine, NM; Doblin, MA

Multivariate trait analysis reveals diatom plasticity constrained to a reduced set of biological axes

Argyle, PA Walworth, NG Hinners, J Collins, S Levine, NM Doblin, MA

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Publisher:: Springer Science and Business Media LLC
Publication Type:: Journal Article
Citation:: ISME Communications, 2021, 1, (1), pp. 59
Issue Date:: 2021-10-25

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Field	Value	Language
dc.contributor.author	Argyle, PA
dc.contributor.author	Walworth, NG
dc.contributor.author	Hinners, J
dc.contributor.author	Collins, S
dc.contributor.author	Levine, NM
dc.contributor.author	Doblin, MA
dc.date.accessioned	2022-02-11T05:42:43Z
dc.date.available	2022-02-11T05:42:43Z
dc.date.issued	2021-10-25
dc.identifier.citation	ISME Communications, 2021, 1, (1), pp. 59
dc.identifier.issn	2730-6151
dc.identifier.issn	2730-6151
dc.identifier.uri	http://hdl.handle.net/10453/154407
dc.description.abstract	<jats:title>Abstract</jats:title><jats:p>Trait-based approaches to phytoplankton ecology have gained traction in recent decades as phenotypic traits are incorporated into ecological and biogeochemical models. Here, we use high-throughput phenotyping to explore both intra- and interspecific constraints on trait combinations that are expressed in the cosmopolitan marine diatom genus <jats:italic>Thalassiosira</jats:italic>. We demonstrate that within <jats:italic>Thalassiosira</jats:italic>, phenotypic diversity cannot be predicted from genotypic diversity, and moreover, plasticity can create highly divergent phenotypes that are incongruent with taxonomic grouping. Significantly, multivariate phenotypes can be represented in reduced dimensional space using principal component analysis with 77.7% of the variance captured by two orthogonal axes, here termed a ‘trait-scape’. Furthermore, this trait-scape can be recovered with a reduced set of traits. Plastic responses to the new environments expanded phenotypic trait values and the trait-scape, however, the overall pattern of response to the new environments was similar between strains and many trait correlations remained constant. These findings demonstrate that trait-scapes can be used to reveal common constraints on multi-trait plasticity in phytoplankton with divergent underlying phenotypes. Understanding how to integrate trait correlational constraints and trade-offs into theoretical frameworks like biogeochemical models will be critical to predict how microbial responses to environmental change will impact elemental cycling now and into the future.</jats:p>
dc.language	en
dc.publisher	Springer Science and Business Media LLC
dc.relation.ispartof	ISME Communications
dc.relation.isbasedon	10.1038/s43705-021-00062-8
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Multivariate trait analysis reveals diatom plasticity constrained to a reduced set of biological axes
dc.type	Journal Article
utslib.citation.volume	1
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	*
dc.date.updated	2022-02-11T05:42:42Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	1
utslib.citation.issue	1

Abstract:

AbstractTrait-based approaches to phytoplankton ecology have gained traction in recent decades as phenotypic traits are incorporated into ecological and biogeochemical models. Here, we use high-throughput phenotyping to explore both intra- and interspecific constraints on trait combinations that are expressed in the cosmopolitan marine diatom genus Thalassiosira. We demonstrate that within Thalassiosira, phenotypic diversity cannot be predicted from genotypic diversity, and moreover, plasticity can create highly divergent phenotypes that are incongruent with taxonomic grouping. Significantly, multivariate phenotypes can be represented in reduced dimensional space using principal component analysis with 77.7% of the variance captured by two orthogonal axes, here termed a ‘trait-scape’. Furthermore, this trait-scape can be recovered with a reduced set of traits. Plastic responses to the new environments expanded phenotypic trait values and the trait-scape, however, the overall pattern of response to the new environments was similar between strains and many trait correlations remained constant. These findings demonstrate that trait-scapes can be used to reveal common constraints on multi-trait plasticity in phytoplankton with divergent underlying phenotypes. Understanding how to integrate trait correlational constraints and trade-offs into theoretical frameworks like biogeochemical models will be critical to predict how microbial responses to environmental change will impact elemental cycling now and into the future.

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http://hdl.handle.net/10453/154407