Evidence map›Paper›PMID 40302033›Full record

ArticleThe ISME journal2025

Proportional relationship between transcript concentrations and carbon biomass for open ocean plankton groups.

Sacha N Coesel, Shiri Graff van Creveld, Mathilde Dugenne, Fernanda Henderikx-Freitas, Angelicque E White, E Virginia Armbrust

Abstract read
In one paragraph

Article in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. The dynamic mesoscale sink and source niches for eukaryotic phytoplankton in a subtropical gyre.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

6 authors.

Sacha N CoeselSchool of Oceanography, University of Washington, Seattle, WA 98195, United States.ORCID 0000-0001-9422-8388
Shiri Graff van CreveldSchool of Oceanography, University of Washington, Seattle, WA 98195, United States.ORCID 0000-0002-3445-3046
Mathilde DugenneDepartment of Oceanography, University of Hawaii at Manoa, Honolulu, HI 96822, United States.
Fernanda Henderikx-FreitasDepartment of Oceanography, University of Hawaii at Manoa, Honolulu, HI 96822, United States.
Angelicque E WhiteDepartment of Oceanography, University of Hawaii at Manoa, Honolulu, HI 96822, United States.ORCID 0000-0002-0938-7948
E Virginia ArmbrustSchool of Oceanography, University of Washington, Seattle, WA 98195, United States.ORCID 0000-0001-7865-5101

Funding

Simons Foundation 329108Simons Foundation 426570SPSimons Foundation 721244Simons Foundation 721256Simons Foundation 723795Simons Foundation SFI-LS-PROJECT-00012203
6 · The paper itself

Abstract

Unicellular plankton form the foundation of the marine food web, driving carbon fixation and cycling essential biogeochemical elements in marine ecosystems. Carbon biomass, often measured as a bulk property, serves as a common "currency" for ecologists. The increasing availability of metatranscriptomic data presents an opportunity to add taxonomic and functional resolution to ecological models and yet, aligning transcript counts with carbon biomass estimates remains a challenge. Here, we combine 30 quantitative metatranscriptome samples with Imaging FlowCytobot-derived carbon biomass estimates and demonstrate a robust, proportional (log-log scale) relationship between transcript concentration and carbon biomass estimates across abundant protist taxa. Further, we show that dinoflagellates exhibit a transcript-to-biomass ratio ~ 6.4-fold higher than other protist groups, consistent with their known transcriptional divergence. These findings provide a means to address overrepresentation of dinoflagellate transcript levels in metatranscriptome data. Moreover, this study establishes an entrée for integrating metatranscriptomics into carbon biomass-based ecological models, enhancing the interpretability and applicability of transcriptomic data in ecosystem research and modeling.

Indexed as

BiomassCarbonPlanktonTranscriptomeDinoflagellidaEcosystemGene Expression ProfilingOceans and SeasCarboncarbon biomassdinoflagellateimaging FlowCytobotmetatranscriptomicsnorth pacific oceanphytoplanktonprotistspike-intranscript concentrationtranscript-to-biomass relationship

Identifiers

PMID40302033
PMCPMC12085914

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.