A robust approach to estimate relative phytoplankton cell abundances from metagenomes.


Journal

Molecular ecology resources
ISSN: 1755-0998
Titre abrégé: Mol Ecol Resour
Pays: England
ID NLM: 101465604

Informations de publication

Date de publication:
Jan 2023
Historique:
revised: 09 01 2022
received: 19 09 2021
accepted: 25 01 2022
pubmed: 3 2 2022
medline: 7 12 2022
entrez: 2 2 2022
Statut: ppublish

Résumé

Phytoplankton account for >45% of global primary production, and have an enormous impact on aquatic food webs and on the entire Earth System. Their members are found among prokaryotes (cyanobacteria) and multiple eukaryotic lineages containing chloroplasts. Genetic surveys of phytoplankton communities generally consist of PCR amplification of bacterial (16S), nuclear (18S) and/or chloroplastic (16S) rRNA marker genes from DNA extracted from environmental samples. However, our appreciation of phytoplankton abundance or biomass is limited by PCR-amplification biases, rRNA gene copy number variations across taxa, and the fact that rRNA genes do not provide insights into metabolic traits such as photosynthesis. Here, we targeted the photosynthetic gene psbO from metagenomes to circumvent these limitations: the method is PCR-free, and the gene is universally and exclusively present in photosynthetic prokaryotes and eukaryotes, mainly in one copy per genome. We applied and validated this new strategy with the size-fractionated marine samples collected by Tara Oceans, and showed improved correlations with flow cytometry and microscopy than when based on rRNA genes. Furthermore, we revealed unexpected features of the ecology of these ecosystems, such as the high abundance of picocyanobacterial aggregates and symbionts in the ocean, and the decrease in relative abundance of phototrophs towards the larger size classes of marine dinoflagellates. To facilitate the incorporation of psbO in molecular-based surveys, we compiled a curated database of >18,000 unique sequences. Overall, psbO appears to be a promising new gene marker for molecular-based evaluations of entire phytoplankton communities.

Identifiants

pubmed: 35108459
doi: 10.1111/1755-0998.13592
pmc: PMC10078663
doi:

Substances chimiques

RNA, Ribosomal, 16S 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

16-40

Subventions

Organisme : FFEM - French Facility for Global Environment (Fonds Français pour l'Environnement Mondial)
Organisme : Université de Recherche Paris Sciences et Lettres (PSL)
ID : ANR-1253 11-IDEX-0001-02
Organisme : European Research Council (ERC) European Research Council (ERC) under the European Union's Horizon 2020
ID : 835067
Organisme : CNRS Momentum Fellowship 2019-2021
Organisme : French Government "Investissements d'Avenir" Programmes MEMO LIFE
ID : ANR-10-LABX-54
Organisme : OCEANOMICS
ID : ANR-11-BTBR-0008
Organisme : France Genomique
ID : ANR-10-INBS-09

Informations de copyright

© 2022 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.

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Auteurs

Juan José Pierella Karlusich (JJ)

Institut de Biologie de l'ENS (IBENS), Département de Biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris, France.
CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.

Eric Pelletier (E)

CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.
Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.

Lucie Zinger (L)

Institut de Biologie de l'ENS (IBENS), Département de Biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris, France.
CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.

Fabien Lombard (F)

CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.
CNRS, Laboratoire d'Océanographie de Villefranche (LOV), Sorbonne Universités, Villefranche-sur-Mer, France.
Institut Universitaire de France (IUF), Paris, France.

Adriana Zingone (A)

Stazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy.

Sébastien Colin (S)

European Molecular Biology Laboratory, Heidelberg, Germany.
CNRS, Station Biologique de Roscoff, UMR 7144, ECOMAP, Sorbonne Université, Roscoff, France.
Max Planck Institute for Developmental Biology, Tübingen, Germany.

Josep M Gasol (JM)

Department of Marine Biology and Oceanography, Institut de Ciènces del Mar, CSIC, Barcelona, Spain.

Richard G Dorrell (RG)

Institut de Biologie de l'ENS (IBENS), Département de Biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris, France.

Nicolas Henry (N)

CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.
CNRS, FR2424, ABiMS, Station Biologique de Roscoff, Sorbonne Université, Roscoff, France.

Eleonora Scalco (E)

Stazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy.

Silvia G Acinas (SG)

Department of Marine Biology and Oceanography, Institut de Ciènces del Mar, CSIC, Barcelona, Spain.

Patrick Wincker (P)

CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.
Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.

Colomban de Vargas (C)

CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.
CNRS, Station Biologique de Roscoff, UMR 7144, ECOMAP, Sorbonne Université, Roscoff, France.

Chris Bowler (C)

Institut de Biologie de l'ENS (IBENS), Département de Biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris, France.
CNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.

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