Cell size, genome size, and maximum growth rate are near-independent dimensions of ecological variation across bacteria and archaea.

archaea bacteria cell diameter ecological strategies genome size maximum growth rate traits

Journal

Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408

Informations de publication

Date de publication:
May 2021
Historique:
received: 08 12 2020
revised: 18 01 2021
accepted: 22 01 2021
entrez: 12 5 2021
pubmed: 13 5 2021
medline: 13 5 2021
Statut: epublish

Résumé

Among bacteria and archaea, maximum relative growth rate, cell diameter, and genome size are widely regarded as important influences on ecological strategy. Via the most extensive data compilation so far for these traits across all clades and habitats, we ask whether they are correlated and if so how. Overall, we found little correlation among them, indicating they should be considered as independent dimensions of ecological variation. Nor was correlation evident within particular habitat types. A weak nonlinearity (6% of variance) was found whereby high maximum growth rates (temperature-adjusted) tended to occur in the midrange of cell diameters. Species identified in the literature as oligotrophs or copiotrophs were clearly separated on the dimension of maximum growth rate, but not on the dimensions of genome size or cell diameter.

Identifiants

pubmed: 33976787
doi: 10.1002/ece3.7290
pii: ECE37290
pmc: PMC8093753
doi:

Banques de données

figshare
['10.6084/m9.figshare.13610975']

Types de publication

Journal Article

Langues

eng

Pagination

3956-3976

Informations de copyright

© 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

None of the authors have any conflict of interest.

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Auteurs

Mark Westoby (M)

Department of Biological Sciences Macquarie University Sydney NSW Australia.

Daniel Aagren Nielsen (DA)

Department of Biological Sciences Macquarie University Sydney NSW Australia.

Michael R Gillings (MR)

Department of Biological Sciences Macquarie University Sydney NSW Australia.

Elena Litchman (E)

Kellogg Biological Station Michigan State University Hickory Corners MI USA.

Joshua S Madin (JS)

Hawaii Institute of Marine Biology University of Hawaii Kaneohe HI USA.

Ian T Paulsen (IT)

Department of Molecular Sciences Macquarie University Sydney NSW Australia.

Sasha G Tetu (SG)

Department of Molecular Sciences Macquarie University Sydney NSW Australia.

Classifications MeSH