Evidence map›Paper›PMID 39488524›Full record

ArticleNature communications2024

The biogeography of soil microbiome potential growth rates.

Zhenghu Zhou, Chuankuan Wang, Xinyu Cha, Tao Zhou, Xuesen Pang, Fazhu Zhao, Xinhui Han, Gaihe Yang, Gehong Wei, Chengjie Ren

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  9. Soil microbial life history strategies covary with ecosystem multifunctionality across aridity gradients.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  17. Safety evaluation ofFrontiers in microbiology · 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

10 authors.

Zhenghu ZhouSchool of Ecology and Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin, Heilongjiang, China.ORCID 0000-0003-2226-4261
Chuankuan WangSchool of Ecology and Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin, Heilongjiang, China.ORCID 0000-0003-3513-5426
Xinyu ChaCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Tao ZhouSchool of Ecology and Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin, Heilongjiang, China.
Xuesen PangSchool of Ecology and Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin, Heilongjiang, China.
Fazhu ZhaoCollege of Urban and Environmental Sciences, Northwest University, Xi'an, Shaanxi, China.ORCID 0000-0003-4758-3277
Xinhui HanCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Gaihe YangCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Gehong WeiState key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.
Chengjie RenCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China. rencj1991@nwsuaf.edu.cn.ORCID 0000-0003-4959-3129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microbial growth, a vital biogeochemical process, governs both the accrual and loss of soil carbon. Here, we investigate the biogeography of soil microbiome potential growth rates and show that microbiomes in resource-rich (high organic matter and nutrients) and acid-neutral soils from cold and humid regions exhibit high potential growth. Conversely, in resource-poor, dry, hot, and hypersaline soils, soil microbiomes display lower potential growth rates, suggesting trade-offs between growth and resource acquisition or stress tolerance. In addition, the potential growth rates of soil microbiomes positively correlates with genome size and the number of ribosomal RNA operons but negatively correlates with optimum temperature, biomass carbon-to-phosphorus and nitrogen-to-phosphorus ratios. The spatial variation of microbial potential growth rates aligns with several macroecological theories. These findings not only enhance our understanding of microbial adaptation to diverse environments but also aid in realistically parameterizing microbial physiology in soil carbon cycling models.

Indexed as

CarbonMicrobiotaNitrogenSoilSoil MicrobiologyBacteriaBiomassCarbon CyclePhosphorusRNA, Ribosomal, 16STemperatureCarbonNitrogenPhosphorusRNA, Ribosomal, 16SSoil

Identifiers

PMID39488524
PMCPMC11531530

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.