Abstract: Antibiotic resistance genes (ARGs) are emerging environmental contaminants, but how human-associated management practices are associated with mobile resistomes in endangered wildlife remains poorly resolved. Here, we used fecal metagenomics to compare Przewalski's horses, Mongolian khulans, and domestic horses from Xinjiang, China, including Przewalski's horses from a protected area and a captive-breeding setting under human management. Across 47 fecal metagenomes, we identified 380 ARG subtypes, 23 metal resistance gene (MRG) types, and 26 mobile genetic element (MGE) subtypes. Przewalski's horses and domestic horses carried higher ARG burdens than Mongolian khulans, whereas Mongolian khulans showed a higher MRG burden. Within Przewalski's horses, captive individuals had higher ARG and MGE loads than protected-area individuals, with enrichment of tet(W), lnu(C), vanYG1, transposase genes, and IS91. Co-occurrence networks and structural equation modeling indicated that the captive management setting was positively associated with IS91, which in turn was linked to ARG enrichment and ARG-MRG co-occurrence. Genome-resolved analysis recovered 590 medium- to high-quality metagenome-assembled genomes (MAGs) and revealed that MAGs co-carrying ARGs, MRGs, and MGEs were predominantly assigned to anaerobic gut genera, including Prevotella, Alloprevotella, Cryptobacteroides, and Limivicinus. These findings suggest that human-associated wildlife habitats are associated with increased mobility potential of gut resistomes through the enrichment of MGEs and resistance carrying host bacteria. Endangered equids may therefore act as sentinels for AMR reservoirs at wildlife-human-environment interfaces, supporting ARG and MGE monitoring in protected-area and captive management programs.
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Overview
This study investigates how human activities influence antibiotic resistance genes in the gut microbiomes of endangered wild horses and related species, highlighting the importance of monitoring antibiotic resistance in wildlife for overall health.
Background and Purpose
Antibiotic resistance genes (ARGs) are increasingly recognized as environmental contaminants that pose risks to both human and animal health.
Understanding how anthropogenic (human-related) management practices affect the movement and presence of these ARGs in endangered wildlife is crucial but not well understood.
This study focuses on the gut microbiomes—the collection of microorganisms living in the digestive tracts—of three equid species (wild horses) in Xinjiang, China: Przewalski’s horses (both wild and captive), Mongolian khulans (wild asses), and domestic horses.
Methodology
Researchers used fecal metagenomics, a technique analyzing the genetic material from feces, to identify and quantify:
Antibiotic resistance genes (ARGs)
Metal resistance genes (MRGs)
Mobile genetic elements (MGEs), which can transfer resistance genes between bacteria
A total of 47 fecal samples were analyzed.
Further, genome-resolved analysis was performed by assembling metagenome-assembled genomes (MAGs) to discover bacteria carrying these resistance elements.
Advanced statistical approaches like co-occurrence network analysis and structural equation modeling were used to understand relationships between the variables.
Key Findings
ARG Diversity and Abundance:
380 different ARG subtypes were identified across samples.
Przewalski’s horses (both wild and captive) and domestic horses had higher ARG loads compared to Mongolian khulans.
Metal Resistance Genes (MRGs):
Mongolian khulans had a higher burden of metal resistance genes, which could relate to environmental exposures.
Mobile Genetic Elements (MGEs):
26 types of MGEs were found in the samples.
Within Przewalski’s horses, those in captivity showed higher MGE loads, suggesting increased potential for gene transfer in managed environments.
Specific genes like tet(W) (tetracycline resistance), lnu(C) (lincosamide resistance), vanYG1 (vancomycin), transposase genes, and IS91 transposable elements were enriched in captive horses.
Relationships and Dynamics:
Captive management settings were positively associated with the presence of the IS91 element.
IS91 is linked with the enrichment of ARGs and the co-occurrence of ARGs with metal resistance genes, implying a mechanism for spreading resistance.
Microbial Hosts of Resistance:
590 medium- to high-quality MAGs recovered.
MAGs carrying ARGs, MRGs, and MGEs mostly belonged to anaerobic gut bacteria including Prevotella, Alloprevotella, Cryptobacteroides, and Limivicinus.
This highlights specific bacterial genera as key reservoirs and vectors of resistance genes in the gut environment.
Implications and Significance
Human management practices, especially captive breeding and protected area management, influence the abundance and mobility of antibiotic resistance genes in endangered equids.
The enrichment of mobile genetic elements in captive animals suggests that human-associated environments may promote the spread of resistance genes within wildlife microbiomes.
Endangered wild horses can serve as sentinel species—early indicators of antibiotic resistance reservoirs that exist at the interface between wildlife, humans, and the environment.
This supports the One Health approach, which emphasizes integrated surveillance and management of health risks affecting humans, animals, and ecosystems.
Monitoring ARGs and MGEs in wildlife management and conservation programs is recommended to better understand and mitigate the spread of antimicrobial resistance.
Cite This Article
APA
Cao Y, Peng K, Zhou Z, Shang J, Liu Z, Gao Y, Wang Z, Zhang D, Li R.
(2026).
Alterations in the gut resistomes of endangered wild equids associated with anthropogenic activities: Insights for One Health surveillance.
Environ Pollut, 129195.
https://doi.org/10.1016/j.envpol.2026.129195
Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, 225009, PR China.
Peng, Kai
Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, 225009, PR China; Institute of Comparative Medicine, Yangzhou University, Yangzhou, 225009, PR China.
Zhou, Zhichao
School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, PR China.
Shang, Jin
School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, PR China.
Liu, Zijun
School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, PR China.
Gao, Yunyun
School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, PR China.
Wang, Zhiqiang
Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, 225009, PR China; Institute of Comparative Medicine, Yangzhou University, Yangzhou, 225009, PR China; Jiangsu Interdisciplinary Center for Zoonoses and Biosafety, Yangzhou University, Yangzhou, 225009, PR China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, 225009, PR China.
Zhang, Dong
School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, PR China. Electronic address: zhangdong_bjfu@bjfu.edu.cn.
Li, Ruichao
Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, 225009, PR China; Institute of Comparative Medicine, Yangzhou University, Yangzhou, 225009, PR China; School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, PR China; Jiangsu Interdisciplinary Center for Zoonoses and Biosafety, Yangzhou University, Yangzhou, 225009, PR China. Electronic address: rchl88@yeah.net.
Conflict of Interest Statement
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.