Evidence map›Paper›PMID 39387551›Full record

ArticleEnvironmental microbiology reports2024

Bacterial community response to novel and repeated disturbances.

Susannah Halbrook, William Wilber, Mary Elizabeth Barrow, Emily C Farrer

Abstract read
In one paragraph

Article in Environmental microbiology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Susannah HalbrookDepartment of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana, USA.ORCID https://orcid.org/0009-0008-9109-5362
William WilberDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
Mary Elizabeth BarrowDepartment of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana, USA.
Emily C FarrerDepartment of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana, USA.

Funding

Louisiana Board of Regents LEQSF(2017-20)-RD-A-14National Science Foundation DEB-2141922Tulane University
6 · The paper itself

Abstract

Disturbance response and recovery are increasingly important in microbial ecology, as microbes may recover from disturbances differently than macro communities. Past disturbances can alter microbial community structure and their response to subsequent disturbance events, but it remains unclear if the same recovery patterns persist after long-term exposure to stress. Here, we compare bacterial community composition in a community that experienced 2 years of monthly salinity addition disturbances with a community that has not experienced salinity additions. We then track the response and recovery to an additional salinity addition based on past disturbance exposure. We tested the following hypotheses: first, communities with a repeated disturbance history will have a different community composition than communities without a disturbance history; second, communities exposed to repeated disturbances will undergo a different recovery trajectory than communities experiencing a novel disturbance. We find that repeated disturbances alter community composition and affect community response and recovery to a subsequent disturbance after 2 years, primarily through increased resistance. This work enhances our understanding of microbial temporal dynamics and suggests that novel disturbances may pose a threat to microbial community structure and function.

Indexed as

BacteriaBiodiversityEcosystemMicrobiotaSalinity

Identifiers

PMID39387551
PMCPMC11465558

What OpenQuestion holds

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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 OpenQuestion graph.