Evidence map›Paper›PMID 41645099›Full record

ArticleBMC microbiology2026

Intersite differences in gut microbiome are associated with habitat quality in a limestone forest-dwelling langur.

Yujing Qiu, Fengxiang Mo, Yanqiong Chen, Ying Lai, Kechu Zhang, Zhonghao Huang

Abstract read
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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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yujing QiuKey Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China.
Fengxiang MoKey Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China.
Yanqiong ChenKey Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China.
Ying LaiKey Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China.
Kechu ZhangKey Laboratory of Mountain Biodiversity Conservation, Education Department of Guangxi Zhuang Autonomous Region, Yulin Normal University, Yulin, China. kechuzhang@126.com.
Zhonghao HuangKey Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China. hzh773@126.com.

Funding

National Natural Science Foundation of China no.32170488Natural Science Foundation of Guangxi Zhuang Autonomous Region 2023GXNSFBA026045
6 · The paper itself

Abstract

backgroundStudying the compositional structure and function of the gut microbiome is essential for evaluating adaptability of wildlife to their environment. Given the high plasticity of the gut microbiome in primates, studying conspecific populations under different habitat quality can provide valuable insights for the conservation and management. To investigate intersite differences in composition and function of the gut microbiome of endangered François' langurs (Trachypithecus francoisi), we employed 16S rRNA and metagenomic sequencing.

resultsThe results showed that higher gut microbiota diversity of François' langurs was associated with higher habitat quality, possibly driven by the dietary diversity. In contrast, François' langurs inhabiting lower-quality habitats had a higher relative abundance of Bacillota and more enriched functional genes related to amino acid metabolism and metabolic pathways than those in higher-quality habitats, which support enhanced fiber degradation to meet energy demands. Additionally, the proportion of tetracycline-related ARGs (tetA(58)) was more abundant in lower-quality habitats, likely due to villagers applying livestock and poultry manure.

conclusionOur study concludes that intersite differences in gut microbiome are associated with habitat quality in the François' langurs, underscoring its role in habitat adaptation and necessity for physiological indicators to elucidate the mechanisms by which wildlife responds to human disturbance and ecological variability. In addition, we recommend prioritizing the restoration of native vegetation diversity in the langurs' habitats, which leverages their gut microbiota's adaptive potential to provide a suitable fundamental environment for the langurs' long-term survival.

Indexed as

BacteriaEcosystemGastrointestinal MicrobiomePresbytiniAnimalsCalcium CarbonateDNA, BacterialFecesForestsMetagenomicsRNA, Ribosomal, 16SSequence Analysis, DNACalcium CarbonateDNA, BacterialRNA, Ribosomal, 16SAntibiotic resistance genes (ARGs)François’ langurs (Trachypithecus francoisi)Gut microbiomeHabitat qualityIntersite differences

Identifiers

PMID41645099
PMCPMC12973598

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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.