Evidence map›Paper›PMID 35108459›Full record

ArticleMolecular ecology resources2023

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

Juan José Pierella Karlusich, Eric Pelletier, Lucie Zinger, Fabien Lombard, Adriana Zingone, Sébastien Colin, Josep M Gasol, Richard G Dorrell, Nicolas Henry, Eleonora Scalco and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology resources, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
11.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 73 citations in OpenAlex.

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  5. The genome of Pleurosigma provides insights into the evolutionary adaptations of pelagic diatoms.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
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  9. The chitin raft hypothesis for the colonization of the open ocean by cyanobacteria.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. From nets to networks: tools for deciphering phytoplankton metabolic interactions within communities and their global significance.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  17. Article
  18. Article
  19. Chitin utilization by marine picocyanobacteria and the evolution of a planktonic lifestyle.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 5 countries.

Juan José Pierella KarlusichInstitut de Biologie de l'ENS (IBENS), Département de Biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris, France.ORCID https://orcid.org/0000-0003-1739-4424
Eric PelletierCNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.ORCID https://orcid.org/0000-0003-4228-1712
Lucie ZingerInstitut de Biologie de l'ENS (IBENS), Département de Biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris, France.ORCID https://orcid.org/0000-0002-3400-5825
Fabien LombardCNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.ORCID https://orcid.org/0000-0002-8626-8782
Adriana ZingoneStazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy.ORCID https://orcid.org/0000-0001-5946-6532
Sébastien ColinEuropean Molecular Biology Laboratory, Heidelberg, Germany.ORCID https://orcid.org/0000-0003-4440-9396
Josep M GasolDepartment of Marine Biology and Oceanography, Institut de Ciènces del Mar, CSIC, Barcelona, Spain.ORCID https://orcid.org/0000-0001-5238-2387
Richard G DorrellInstitut de Biologie de l'ENS (IBENS), Département de Biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris, France.ORCID https://orcid.org/0000-0001-6263-9115
Nicolas HenryCNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.ORCID https://orcid.org/0000-0002-7702-1382
Eleonora ScalcoStazione Zoologica Anton Dohrn, Villa Comunale, Naples, Italy.ORCID https://orcid.org/0000-0001-8561-0614
Silvia G AcinasDepartment of Marine Biology and Oceanography, Institut de Ciènces del Mar, CSIC, Barcelona, Spain.ORCID https://orcid.org/0000-0002-3439-0428
Patrick WinckerCNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.ORCID https://orcid.org/0000-0001-7562-3454
Colomban de VargasCNRS Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE, Paris, France.ORCID https://orcid.org/0000-0002-6476-6019
Chris BowlerInstitut de Biologie de l'ENS (IBENS), Département de Biologie, École normale supérieure, CNRS, INSERM, Université PSL, Paris, France.ORCID https://orcid.org/0000-0003-3835-6187
Centre National de la Recherche Scientifique · FRInstitut de Ciències del Mar · ESStazione Zoologica Anton Dohrn · IT

Funding

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

Abstract

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.

Indexed as

MetagenomePhytoplanktonDNA Copy Number VariationsEcosystemEukaryotaOceans and SeasRNA, Ribosomal, 16SRNA, Ribosomal, 16S18S rRNAmetabarcodingmetagenomicsmetatranscriptomicsphotosynthesisphytoplanktonpsbOTara Oceans

Identifiers

PMID35108459
PMCPMC10078663
OpenAlexW4210342736

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.