Evidence map›Paper›PMID 42039820›Full record

ArticleFrontiers in microbiology2026

Latitude distribution characteristics of soil microbial communities in the

Xin Zhang, Yaxuan Chen, Mengyu Li, Yanmei Chen, Jingze Liu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Xin ZhangHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Yaxuan ChenSchool of Geographical Sciences, Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, Shijiazhuang, China.
Mengyu LiSchool of Geographical Sciences, Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, Shijiazhuang, China.
Yanmei ChenSchool of Geographical Sciences, Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, Shijiazhuang, China.
Jingze LiuHebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, Hebei Collaborative Innovation Center for Eco-Environment, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Investigating soil microbial spatial distribution is essential for understanding ecosystem responses to climate change. Studies on single vegetation types and their influencing factors are limited. Methods: We focused on soil samples from Results: The results showed that dominant bacterial and fungal groups generally exhibited a "unimodal" or "U-shaped" distribution pattern along the latitudinal gradient, with both the highest and lowest values occurring in the mid-section of the study area. Bacterial alpha diversity was higher than fungal alpha diversity. Along the latitudinal gradient, bacterial alpha diversity followed a nonlinear cubic trend, peaking in the southern section and reaching a minimum in the northern section. For fungi, richness displayed a U-shaped pattern, Shannon and evenness indices increased linearly, and the Simpson index decreased linearly. Pearson correlation and redundancy analyses indicated that soil total nitrogen, sand content, total carbon, total phosphorus, litter carbon, and leaf water content influenced bacterial community composition. Fungal communities were primarily affected by mean annual precipitation, soil total nitrogen, nitrate nitrogen, silt content, leaf water content, and litter nitrogen. Discussion: These findings highlight the complex spatial patterns of soil microbial communities in shrublands and reveal key environmental drivers shaping their distribution. Understanding these patterns provides a critical basis for predicting how soil microbial diversity and composition may respond to environmental changes along latitudinal gradients.

Indexed as

latitude variationmicrobial community diversitymicrobial compositionTaihang MountainsZiziphus jujuba var. spinosa shrublands

Identifiers

PMID42039820
PMCPMC13106373

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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.