Evidence map›Paper›PMID 35917347›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Elongation enhances encounter rates between phytoplankton in turbulence.

José-Agustín Arguedas-Leiva, Jonasz Słomka, Cristian C Lalescu, Roman Stocker, Michael Wilczek

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. 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. Form and function in biological filaments: a physicist's review.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
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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

5 authors.

José-Agustín Arguedas-LeivaMax Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.ORCID 0000-0002-2786-2538
Jonasz SłomkaInstitute of Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, 8093 Zurich, Switzerland.ORCID 0000-0002-7097-5810
Cristian C LalescuHPC Application Support, Max Planck Computing and Data Facility, 85748 Garching, Germany.ORCID 0000-0003-0043-6632
Roman StockerInstitute of Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, 8093 Zurich, Switzerland.ORCID 0000-0002-3199-0508
Michael WilczekMax Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.ORCID 0000-0002-1423-8285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phytoplankton come in a stunning variety of shapes but elongated morphologies dominate-typically 50% of species have aspect ratio above 5, and bloom-forming species often form chains whose aspect ratios can exceed 100. How elongation affects encounter rates between phytoplankton in turbulence has remained unknown, yet encounters control the formation of marine snow in the ocean. Here, we present simulations of encounters among elongated phytoplankton in turbulence, showing that encounter rates between neutrally buoyant elongated cells are up to 10-fold higher than for spherical cells and even higher when cells sink. Consequently, we predict that elongation can significantly speed up the formation of marine snow compared to spherical cells. This unexpectedly large effect of morphology in driving encounter rates among plankton provides a potential mechanistic explanation for the rapid clearance of many phytoplankton blooms.

Indexed as

EutrophicationPhytoplanktonCell Enlargementcell elongationencounter ratesmarine snowphytoplankton bloomsturbulence

Identifiers

PMID35917347
PMCPMC9371716

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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.