Evidence map›Paper›PMID 40913309›Full record

ReviewEnvironmental microbiology reports2025

Exploring Bacterial Interactions Under the Stress Gradient Hypothesis in Response to Selenium Stress.

Kristian J Harris, Alison E Bennett

Abstract readReview
In one paragraph

Review in Environmental microbiology reports, 2025. 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. Review
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

2 authors.

Kristian J HarrisDepartment of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0003-3939-8928
Alison E BennettDepartment of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-1037-0713

Funding

Ohio State University
6 · The paper itself

Abstract

The Stress Gradient Hypothesis (SGH) predicts that interspecific interactions shift from competition under low stress to facilitation under high stress. Historically, this framework has been extensively studied in plants, but its application to microbial communities remains underexplored. Here, we review literature to examine bacterial interactions under heavy metal stress, using selenium (Se) stress as a model for heavy metal-induced environmental pressures. Se, a naturally occurring and anthropogenic metalloid contaminant, provides oxidative stress on bacteria, which will modify competitive and facilitative behaviours under the SGH framework. At low Se concentrations, bacterial interactions are predominantly competitive, driven by resource competition and antimicrobial strategies. However, as Se stress increases, we predict facilitative interactions to increase, including detoxification mechanisms that reduce toxicity for Se intolerant species. We discuss methodologies to measure bacterial competition and facilitation, propose experimental approaches to identify the transition between these interaction modes, and explore the implications of species richness in microbial stress resilience. Understanding these interactions provides insights into microbial ecology, biogeochemical cycling and potential applications in bioremediation.

Indexed as

BacteriaBacterial Physiological PhenomenaMicrobial InteractionsSeleniumStress, PhysiologicalMetals, HeavyOxidative StressMetals, HeavySeleniumbacterial facilitationbioremediationmicrobial interactionsoxidative stressselenium stressstress gradient hypothesis

Identifiers

PMID40913309
PMCPMC12413402

What OpenQuestion 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 OpenQuestion graph.