Evidence map›Paper›PMID 32832612›Full record

ArticleScience advances2020

Nutrient ratios in marine particulate organic matter are predicted by the population structure of well-adapted phytoplankton.

Shlomit Sharoni, Itay Halevy

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. The proteome is a terminal electron acceptor.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Latitudinal patterns in ocean C:N:P reflect phytoplankton acclimation and macromolecular composition.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Geologic controls on phytoplankton elemental composition.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Global patterns and predictors of C:N:P in marine ecosystems.Communications earth & environment · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. 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

2 authors.

Shlomit SharoniDepartment of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0002-8206-095X
Itay HalevyDepartment of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0002-7325-8139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A common assumption of a constant nitrogen-to-phosphorus ratio (N:P) of 16:1 in marine particulate organic matter (POM) appears to be invalidated by observations of major spatial variations in N:P. Two main explanations have been proposed. The first attributes the N:P variability to changes in the community composition of well-adapted phytoplankton. The second proposes that variability arises from physiological acclimation involving intracellular adjustments of nutrient allocation under nutrient deficiency. Using a model of phytoplankton physiology, observational datasets, and a review of laboratory culture results, we assess the mechanistic basis of N:P variability. We find that the taxonomic composition of well-adapted phytoplankton best explains observed variations in POM N:P. Furthermore, we show that acclimation to nutrient deficiency may be safely neglected when considering the effects of ecology on POM N:P. These findings provide insight into the controls on global variability in POM composition and average phytoplankton physiological performance in the oceans.

Identifiers

PMID32832612
PMCPMC7439515

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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.