Evidence map›Paper›PMID 42464079›Full record

ArticleBMC microbiology2026

Divergent responses of rhizosphere microbial diversity and co-occurrence patterns to elevation and season in Quercus franchetii from the Yuanmou dry‑hot valley, Southwest China.

Xuedan Xie, Guanping Li, Jiao Wu, Cailan Liu, Haitao Yue, Dacai Zhang

Abstract read
In one paragraph

Article in BMC 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.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Xuedan XieKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China Ministry of Education, Southwest Forestry University, Kunming, 650224, China.
Guanping LiKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China Ministry of Education, Southwest Forestry University, Kunming, 650224, China.
Jiao WuKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China Ministry of Education, Southwest Forestry University, Kunming, 650224, China.
Cailan LiuKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China Ministry of Education, Southwest Forestry University, Kunming, 650224, China.
Haitao YueKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China Ministry of Education, Southwest Forestry University, Kunming, 650224, China.
Dacai ZhangKey Laboratory of Forest Resources Conservation and Utilization in the Southwest Mountains of China Ministry of Education, Southwest Forestry University, Kunming, 650224, China. dczhang24@163.com.

Funding

Technology Research of Ecological Restoration for Arid River Valley in Yunnan Province 6321A5the Strategic Biological Resources Capacity Building Project, Chinese Academy of Sciences KFJ-BRP-017-47
6 · The paper itself

Abstract

backgroundDry-hot valleys suffer from severe ecological stress, with the rhizosphere being an essential microhabitat for plant adaptation. Elevation and seasonal changes are key drivers shaping rhizosphere microbial diversity and community composition. However, their impacts on rhizosphere bacteria and fungi associated with Quercus franchetii in dry-hot valleys remain poorly understood.

resultBacterial α-diversity exhibited a V-shaped pattern along the elevational gradient, whereas fungal α-diversity generally declined with increasing elevation. Seasonal effects were pronounced, with both bacterial and fungal diversity higher in the rainy season. Soil pH had strong positive correlations with bacterial α-diversity, and both soil pH and water content were associated with variations in bacterial and fungal community composition. Bacterial co-occurrence networks were more complex than fungal networks. Rainy-season networks had higher natural connectivity, and higher random and targeted robustness AUC. Actinobacteriota, Acidobacteriota, and Ascomycota acted as keystone taxa stabilizing network interactions. Functional predictions indicated that bacterial communities were predominantly chemoheterotrophic, whereas fungal communities were dominated by symbiotrophic guilds.

conclusionsElevational gradients exert a stronger influence than seasonal variation on rhizosphere microbial diversity and composition. Soil pH and water content are key environmental filters shaping microbial assemblages. Microbial networks maintain ecosystem functions through seasonally modulated connectivity and cooperation. Keystone taxa may mediate network stability and functional resilience under spatiotemporal environmental variation. These results provide a basis for predicting microbial responses to environmental change in dry-hot valleys.

Indexed as

BacteriaFungiMicrobiotaQuercusRhizosphereSoil MicrobiologyAltitudeBiodiversityChinaEcosystemHydrogen-Ion ConcentrationSeasonsSoilSoilCo-occurrence networkDiversityDry-hot valleyElevationFunctional predictionQuercus franchetiiRhizosphere microbiomeSeason

Identifiers

PMID42464079
PMCPMC13679283

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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.