Evidence map›Paper›PMID 35586865›Full record

ArticleFrontiers in microbiology2022

Functional Redundancy in Soil Microbial Community Based on Metagenomics Across the Globe.

Huaihai Chen, Kayan Ma, Caiyan Lu, Qi Fu, Yingbo Qiu, Jiayi Zhao, Yu Huang, Yuchun Yang, Christopher W Schadt, Hao Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
17.3field-weighted citation impact, top 1% of its field
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

51 citing papers in PubMed, 110 citations in OpenAlex.

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  16. The prevalence and distribution ofFrontiers in microbiomes · 2026
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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 at 2 institutions in 2 countries.

Huaihai ChenState Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, China.
Kayan MaState Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, China.
Caiyan LuKey Laboratory of Pollution Ecology and Environment Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.
Qi FuState Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, China.
Yingbo QiuState Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, China.
Jiayi ZhaoState Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, China.
Yu HuangState Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, China.
Yuchun YangState Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, China.
Christopher W SchadtOak Ridge National Laboratory, Biosciences Division, Oak Ridge, TN, United States.
Hao ChenState Key Laboratory of Biocontrol, School of Ecology, Sun Yat-sen University, Shenzhen, China.
Sun Yat-sen University · CNOak Ridge National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the contribution of soil microbial communities to ecosystem processes is critical for predicting terrestrial ecosystem feedbacks under changing climate. Our current understanding lacks a consistent strategy to formulate the linkage between microbial systems and ecosystem processes due to the presumption of functional redundancy in soil microbes. Here we present a global soil microbial metagenomic analysis to generalize patterns of microbial taxonomic compositions and functional potentials across climate and geochemical gradient. Our analyses show that soil microbial taxonomic composition varies widely in response to climate and soil physicochemical gradients, while microbial functional attributes based on metagenomic gene abundances are redundant. Among 17 climate zones, microbial taxonomic compositions were more distinct than functional potentials, as climate and edaphic properties showed more significant influence on microbial taxonomic compositions than on functional potentials. Microbial taxonomies formed a larger and more complex co-occurrence network with more module structures than functional potentials. Functional network was strongly inter-connected among different categories, whereas taxonomic network was more positively interactive in the same taxonomic groups. This study provides strong evidence to support the hypothesis of functional redundancy in soil microbes, as microbial taxonomic compositions vary to a larger extent than functional potentials based on metagenomic gene abundances in terrestrial ecosystems across the globe.

Indexed as

functional redundancyfunctional traitslatitudesoil metagenomicstaxonomic compositions

Identifiers

PMID35586865
PMCPMC9108720
OpenAlexW4225261950

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.