Evidence map›Paper›PMID 37010412›Full record

ArticleMicrobiology spectrum2023

High Growth Rate of Diatoms Explained by Reduced Carbon Requirement and Low Energy Cost of Silica Deposition.

Keisuke Inomura, Juan José Pierella Karlusich, Stephanie Dutkiewicz, Curtis Deutsch, Paul J Harrison, Chris Bowler

Abstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Keisuke InomuraGraduate School of Oceanography, University of Rhode Island, Narragansett, Rhode Island, USA.ORCID 0000-0001-9232-7032
Juan José Pierella KarlusichInstitut de Biologie de l'Ecole Normale Supérieure, CNRS, INSERM, Université Paris Sciences et Lettres, Paris, France.ORCID 0000-0003-1739-4424
Stephanie DutkiewiczDepartment of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Curtis DeutschDepartment of Geosciences, Princeton University, Princeton, New Jersey, USA.
Paul J HarrisonDepartment of Earth, Ocean, and Atmospheric Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Chris BowlerInstitut de Biologie de l'Ecole Normale Supérieure, CNRS, INSERM, Université Paris Sciences et Lettres, Paris, France.ORCID 0000-0003-3835-6187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid growth of diatoms makes them one of the most pervasive and productive types of plankton in the world's ocean, but the physiological basis for their high growth rates remains poorly understood. Here, we evaluate the factors that elevate diatom growth rates, relative to other plankton, using a steady-state metabolic flux model that computes the photosynthetic C source from intracellular light attenuation and the carbon cost of growth from empirical cell C quotas, across a wide range of cell sizes. For both diatoms and other phytoplankton, growth rates decline with increased cell volume, consistent with observations, because the C cost of division increases with size faster than photosynthesis. However, the model predicts overall higher growth rates for diatoms due to reduced C requirements and the low energetic cost of Si deposition. The C savings from the silica frustule are supported by metatranscriptomic data from

Indexed as

DiatomsCarbonPhylogenyPhytoplanktonSilicon DioxideCarbonSilicon Dioxidecomputer modelingdiatomecosystemgrowthmicrobiologyoceanographyphotosynthesisphytoplanktonsilica frustuleTara Oceans

Identifiers

PMID37010412
PMCPMC10269801

What OpenQuestion holds

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Registered trials

None linked

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.