Evidence map›Paper›PMID 39878540›Full record

ArticlemSystems2025

With a little help from my friends: importance of protist-protist interactions in structuring marine protistan communities in the San Pedro Channel.

Samantha J Gleich, Lisa Y Mesrop, Jacob A Cram, J L Weissman, Sarah K Hu, Yi-Chun Yeh, Jed A Fuhrman, David A Caron

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Samantha J GleichDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-4613-7171
Lisa Y MesropDepartment of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, California, USA.
Jacob A CramDepartment of Marine Estuarine Environmental Science, Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, Maryland, USA.
J L WeissmanDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, New York, USA.ORCID 0000-0002-4237-4807
Sarah K HuDepartment of Oceanography, Texas A&M University, College Station, Texas, USA.
Yi-Chun YehDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA.
Jed A FuhrmanDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-2361-1985
David A CaronDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA.

Funding

National Science Foundation (NSF) OCE-1737409Simons Foundation (SF) 549943
6 · The paper itself

Abstract

Marine protists form complex communities that are shaped by environmental and biological ecosystem properties, as well as ecological interactions between organisms. While all of these factors play a role in shaping protistan communities, the specific ways in which these properties and interactions influence protistan communities remain poorly understood. Fourteen years and 9 months of eukaryotic amplicon (18S-V4 rRNA gene) data collected monthly at the San Pedro Ocean Time-series (SPOT) station were used to evaluate the impacts that environmental and biological factors, and protist-protist interactions had on protistan community composition. Statistical analysis of the amplicon data revealed that seasonal patterns in protistan community composition were apparent, but that the environmental data collected through routine time-series sampling efforts could not explain most of the variability that was evident in the communities. To identify some of the protist-protist interactions that may have played a role in shaping protistan communities, ecological networks were constructed using the amplicon data and the network predictions were compared against a database of confirmed protist-protist interactions. The database comparisons revealed hundreds of established parasitic, predator-prey, photosymbiotic, and mutualistic relationships in the networks. Although many interactions were confirmed using the database, these confirmed interactions constituted only 2% of the interactions identified at the SPOT station, highlighting the need to better characterize protist-protist interactions in marine environments. Finally, the network-predicted interactions that were not found in the database were used to identify putative, novel protist-protist interactions that may have played a role in structuring the protistan communities at the SPOT station. IMPORTANCE: Network analyses are commonly used to identify some of the ecological interactions that may be occurring between protists in the ocean; however, evaluating predictions obtained from these analyses remains difficult due to the large number of interactions that may be recovered and the limited amount of information available on protist-protist interactions in nature. In this study, ecological network analyses were conducted using data collected at the San Pedro Ocean Time-series (SPOT) station and the network predictions were compared against a database of established protist-protist interactions. These database comparisons revealed hundreds of confirmed protist-protist interactions, and thousands of putative, novel interactions that may be occurring at the SPOT station. The database comparisons carried out in this study provide a new way of evaluating network predictions and highlight the complex, yet critical role that ecological interactions play in shaping protistan community composition in marine ecosystems.

Indexed as

Aquatic OrganismsEukaryotaSeawaterEcosystemRNA, Ribosomal, 18SRNA, Ribosomal, 18Scell-cell interactionenvironmental microbiologymicrobial communitiesprotists

Identifiers

PMID39878540
PMCPMC11834403

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.