Evidence map›Paper›PMID 41249177›Full record

ArticleNPJ biofilms and microbiomes2025

Multi-omic profiling reveals distinct gut microbial and metabolic landscapes in golden snub-nosed monkeys under contrasting conservation strategies.

Du Zhang, Qi Hu, Yunyun Zhou, Huiliang Yu, Wei Cong, Minghao Cheng, Junwen Wang, Xueduan Liu, Kai Zou, Shuizhi Long and 3 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

13 authors.

Du ZhangDepartment of Medical Genetics, The Second Xiangya Hospital of Central South University, Changsha, China.
Qi HuShenzhen E-gene Technology Co., LTD, Shenzhen, China.
Yunyun ZhouHunan Academy of Forestry, Changsha, China.
Huiliang YuShennongjia National Park, Shennongjia Forest Ecosystem Research Station, and Hubei Provincial Key Laboratory on Conservation Biology of the Golden Monkey in Shennongjia, Shennongjia, China.
Wei CongEcology and Nature Conservation Institute, Chinese Academy of Forestry, and the Key Laboratory of Biodiversity Conservation of National Forestry and Grassland Administration, Beijing, China.
Minghao ChengEcology and Nature Conservation Institute, Chinese Academy of Forestry, and the Key Laboratory of Biodiversity Conservation of National Forestry and Grassland Administration, Beijing, China.
Junwen WangShenzhen E-gene Technology Co., LTD, Shenzhen, China.
Xueduan LiuSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China.
Kai ZouCollege of Advanced Materials Engineering, Jiaxing Nanhu University, Jiaxing, China.
Shuizhi LongShennongjia National Park, Shennongjia Forest Ecosystem Research Station, and Hubei Provincial Key Laboratory on Conservation Biology of the Golden Monkey in Shennongjia, Shennongjia, China.
Chongnan ZhaoShennongjia National Park, Shennongjia Forest Ecosystem Research Station, and Hubei Provincial Key Laboratory on Conservation Biology of the Golden Monkey in Shennongjia, Shennongjia, China.
Jun JiangShennongjia National Park, Shennongjia Forest Ecosystem Research Station, and Hubei Provincial Key Laboratory on Conservation Biology of the Golden Monkey in Shennongjia, Shennongjia, China.
Yuguang ZhangEcology and Nature Conservation Institute, Chinese Academy of Forestry, and the Key Laboratory of Biodiversity Conservation of National Forestry and Grassland Administration, Beijing, China. zhangyg@caf.ac.cn.

Funding

Key Research and Development Project of Hubei Province 2020BCA081National Key Technology R&D Program of China 2013BAD03B02
6 · The paper itself

Abstract

Gut microbiota are crucial for the fitness of endangered wildlife, yet how different conservation strategies affect these microbial ecosystems and their metabolic activities remains insufficiently understood. This study employed integrated metagenomic and metabolomic analyses to compare the gut microbial communities and fecal metabolomes of endangered golden snub-nosed monkeys (Rhinopithecus roxellana) under three distinct conservation scenarios: natural wild, food provisioning, and captivity. We established a comprehensive species-specific gut microbial gene catalog and observed significant microbial and metabolic divergence associated with each conservation strategy. Monkeys in managed settings (captive and provisioned) exhibited larger gut microbial gene catalogs than wild individuals. While alpha diversity was highest in the provisioned group, both captive and provisioned groups showed notably altered microbial community structures and co-occurrence networks compared to the wild baseline. Captivity was linked to the most pronounced shifts, including a microbiome assembly more strongly governed by deterministic processes, reduced network stability, and an enrichment of habitat specialists, alongside an increased abundance of antibiotic resistance genes (ARGs) and virulence factors (VFs), and distinct alterations in microbiota-metabolite co-variation patterns, particularly concerning amino acid metabolism. These findings highlight that food provisioning, when managed to emulate natural conditions, is associated with a less disruptive microbial and metabolic profile than intensive captivity, offering crucial insights for developing microbiome-informed conservation practices to enhance the health and long-term viability of this endangered primate.

Indexed as

BacteriaColobinaeConservation of Natural ResourcesGastrointestinal MicrobiomeAnimalsEndangered SpeciesFecesMetabolomeMetabolomicsMetagenomicsMultiomics

Identifiers

PMID41249177
PMCPMC12623491

What Socratic holds

Textmetadata
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 Socratic graph.