Evidence map›Paper›PMID 35444263›Full record

ArticleThe ISME journal2022

Tracing the path of carbon export in the ocean though DNA sequencing of individual sinking particles.

Colleen A Durkin, Ivona Cetinić, Margaret Estapa, Zrinka Ljubešić, Maja Mucko, Aimee Neeley, Melissa Omand

Abstract read
In one paragraph

Article in The ISME journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Physical controls on heterogeneous mesopelagic biogeochemistry.Communications earth & environment · 2026
    Review
  3. EnhancedISME communications · 2026
    Article
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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

7 authors.

Colleen A DurkinMonterey Bay Aquarium Research Institute, Moss Landing, CA, USA. cdurkin@mbari.org.ORCID http://orcid.org/0000-0001-5619-4914
Ivona CetinićUniversities Space Research Association, Columbia, MD, USA.
Margaret EstapaSchool of Marine Sciences, Darling Marine Center, University of Maine, Walpole, ME, USA.
Zrinka LjubešićBiology Department, Faculty of Science, University of Zagreb, Zagreb, Croatia.
Maja MuckoBiology Department, Faculty of Science, University of Zagreb, Zagreb, Croatia.
Aimee NeeleyOcean Ecology Laboratory, NASA/Goddard Space Flight Center, Greenbelt, MD, USA.
Melissa OmandGraduate School of Oceanography, University of Rhode Island, Narragansett, RI, USA.

Funding

National Science Foundation (NSF) OCE-1703336National Science Foundation (NSF) OCE-1703422National Science Foundation (NSF) OCE-1703664
6 · The paper itself

Abstract

Surface phytoplankton communities were linked with the carbon they export into the deep ocean by comparing 18 S rRNA gene sequence communities from surface seawater and individually isolated sinking particles. Particles were collected in sediment traps deployed at locations in the North Pacific subtropical gyre and the California Current. DNA was isolated from individual particles, bulk-collected trap particles, and the surface seawater. The relative sequence abundance of exported phytoplankton taxa in the surface water varied across functional groups and ecosystems. Of the sequences detected in sinking particles, about half were present in large (>300 μm), individually isolated particles and primarily belonged to taxa with small cell sizes (<50 µm). Exported phytoplankton taxa detected only in bulk trap samples, and thus presumably packaged in the smaller sinking size fraction, contained taxa that typically have large cell sizes (>500 μm). The effect of particle degradation on the detectable 18 S rRNA gene community differed across taxa, and differences in community composition among individual particles from the same location largely reflected differences in relative degradation state. Using these data and particle imaging, we present an approach that incorporates genetic diversity into mechanistic models of the ocean's biological carbon pump, which will lead to better quantification of the ocean's carbon cycle.

Indexed as

CarbonEcosystemOceans and SeasPhytoplanktonSeawaterSequence Analysis, DNACarbon

Identifiers

PMID35444263
PMCPMC9296562

What OpenQuestion holds

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LicenceCC BY
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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.