ArticleThe ISME journal2025
Proportional relationship between transcript concentrations and carbon biomass for open ocean plankton groups.
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.
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The trial behind it
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Who cites it
5 citing papers in PubMed.
- 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 · 2026Article
- Balancing photosynthesis and respiration in North Pacific protist communities.The ISME journal · 2026Article
- A case for absolute gene expression estimates in microbiome studies using metatranscriptomics.The ISME journal · 2025Article
- Latitude- and depth-driven divergence in protist trophic strategies revealed by a machine learning model.Frontiers in microbiology · 2025Article
- Do trophic strategies shape biogeography and environmental niches? Marine dinoflagellates as a case study.ISME communications · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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.
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Registered trials
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