Evidence map›Paper›PMID 40344501›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Trait-Based Life History Strategies Shape Bacterial Niche Breadth.

Ziheng Peng, Yiran Zhang, Xiaomeng Li, Hang Gao, Yu Liu, Yining An, Xun Qian, Gehong Wei, Shuo Jiao

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  11. Trait-Based Life History Strategies Shape Bacterial Niche Breadth.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

9 authors.

Ziheng PengState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.ORCID https://orcid.org/0000-0001-8751-6103
Yiran ZhangCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.
Xiaomeng LiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.
Hang GaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.
Yu LiuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.
Yining AnState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.
Xun QianCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.
Gehong WeiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.
Shuo JiaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, P. R. China.

Funding

Joint Fund of the National Natural Science Foundation of China U21A2029National Science Foundation for Excellent Young Scholars of China 42122050National Science Foundation of China 42477129
6 · The paper itself

Abstract

The ecological niche represents a fundamental property of organisms, reflecting their diversity of utilized resources or environmental tolerances across space and time. Despite a wealth of studies revealing that not all bacteria being everywhere, the key traits that determine niche breadth have remained unclear. Here, bacterial niche breadth based on a large-scale soil survey across a wide range of environmental gradients at a national-scale is characterized, and evaluated their life-history traits utilizing over 2000 bacterial genomic datasets from the Genome Taxonomy Database (GTDB). A positive relationship between gene functional diversity and niche breadth is found, and identified a key set of bacterial traits associated with niche breadth, which are assigned to five life-history categories, encompassing growth, competition, stress tolerance, resource acquisition, and dispersal ability. The traits of these categories are captured by distinct clusters in the full dimensionality of trait space, suggesting that a broad-niche taxon may indeed possess multiple facets of life history strategies essential for survival in diverse environments. Bacterial taxa with wider niche breadth maximized a diversity of traits associated with different life history strategies, whereas specialists tended to harbor a smaller number of traits associated with fewer life history strategies. Together, this study offers new insights into developing a trait-based understanding of bacterial niche breadth from the perspective of life history theory.

Indexed as

BacteriaBacterial Physiological PhenomenaLife History TraitsSoil MicrobiologyEcosystemlife‐history strategiesmetabolic moduleniche breadthresource acquisitionsoil bacteria

Identifiers

PMID40344501
PMCPMC12120777

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.