Evidence map›Paper›PMID 29348571›Full record

ArticleNature communications2018

High resolution time series reveals cohesive but short-lived communities in coastal plankton.

Antonio M Martin-Platero, Brian Cleary, Kathryn Kauffman, Sarah P Preheim, Dennis J McGillicuddy, Eric J Alm, Martin F Polz

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

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  18. Chaotic turnover of rare and abundant species in a strongly interacting model community.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Review
  20. Structured community transitions explain the switching capacity of microbial systems.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article

7 more citing papers are in PubMed but not listed here.

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.

Antonio M Martin-PlateroDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Brian ClearyBroad Institute, Cambridge, MA, 02139, USA.
Kathryn KauffmanDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0002-1997-947X
Sarah P PreheimDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Dennis J McGillicuddyDepartment of Applied Ocean Physics and Engineering, Woods Hole Oceanographic Institution, Woods Hole, MA, 02543, USA.
Eric J AlmDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ejalm@mit.edu.
Martin F PolzDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. mpolz@mit.edu.

Funding

Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
WHCOHH: Harmful algal bloom dynamics and epigenetic mechanism of toxin actionP01ES021923 · NIEHS · WOODS HOLE OCEANOGRAPHIC INSTITUTION · PI STEGEMAN, JOHN J · 2012 to 2016
$2.1M
NIEHS NIH HHS P01 ES021923
6 · The paper itself

Abstract

Because microbial plankton in the ocean comprise diverse bacteria, algae, and protists that are subject to environmental forcing on multiple spatial and temporal scales, a fundamental open question is to what extent these organisms form ecologically cohesive communities. Here we show that although all taxa undergo large, near daily fluctuations in abundance, microbial plankton are organized into clearly defined communities whose turnover is rapid and sharp. We analyze a time series of 93 consecutive days of coastal plankton using a technique that allows inference of communities as modular units of interacting taxa by determining positive and negative correlations at different temporal frequencies. This approach shows both coordinated population expansions that demarcate community boundaries and high frequency of positive and negative associations among populations within communities. Our analysis thus highlights that the environmental variability of the coastal ocean is mirrored in sharp transitions of defined but ephemeral communities of organisms.

Indexed as

EcosystemMicrobial ConsortiaPlanktonAtlantic OceanMassachusettsTime Factors

Identifiers

PMID29348571
PMCPMC5773528

What OpenQuestion holds

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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.