Pakistan Science Abstracts
Article details & metrics
No Detail Found!!
A Resistome Profiling and Microbiome Analysis in Zoo Animals: Uncovering Hidden Threats to Public Health
Author(s):
1. Mianzhi Wang: Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China; Institute of Comparative Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China
2. Yanyun Gao: Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University,Yangzhou, Jiangsu Province,P. R. China
3. Yan Li: Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University,Yangzhou, Jiangsu Province,P. R. China
4. Kai Peng: Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University,Yangzhou, Jiangsu Province,P. R. China
5. Xinran Sun: Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University,Yangzhou, Jiangsu Province,P. R. China
6. Xun Xu: Yangzhou Zoo,Yangzhou, Jiangsu Province,P. R. China
7. Ruichao Li: Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China; Institute of Comparative Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China;Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China
8. Zhiqiang Wang: Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases nd Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China; Institute of Comparative Medicine, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China;Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu Province, P. R. China
Abstract:
Antibiotic resistance genes (ARGs) and their associated resistomes pose significant threats to global public health, yet their dynamics in zoo animals remain poorly understood. This study addresses this gap by analyzing fecal samples from diverse zoo animals in Jiangsu, China. We identified 1,415 ARG subtypes, with tetracycline and multidrug resistance genes being most prevalent. Notably, resistome profiles clustered according to host dietary preferences: tetracycline resistance genes were abundant in herbivores, omnivores, and carnivores, while multidrug efflux genes were enriched in bamboo-feeding animals. Microbiome analysis showed distinct microbial community structures across different dietary groups. The correlation between microbial community structure and dietary preferences suggests that diet significantly influences ARG distribution. Furthermore, insertion sequences (ISs) and plasmid types likely play key roles in ARG transmission within the zoo environment. This study provides new insights into the fecal resistome in zoo animals, demonstrating the significant influence of diet and microbial community structure on ARG profiles. These findings have crucial implications for the prevention and management of multidrug-resistant bacteria in zoos, emphasizing the need for targeted interventions to mitigate ARG spread.
Page(s): 880-886
Published: Journal: Pakistan Veterinary Journal, Volume: 45, Issue: 2, Year: 2025
Keywords:
Antimicrobial resistance genes Metagenome Transmission Zoo
References:
[1] Acman M,Wang R,van Dorp L .2022 .Role of mobile genetic elements in the global dissemination of the carbapenem resistance gene blaNDM. Nat Commun, 13 : 1131.
[2] Bahl MI,Berg KH,Licht TR .2018 .Effect of environment on horizontal gene transfer in bacteria. Microbial Biotechnology, 11(3) : 585-594.
[3] Carattoli A,Zankari E,Garcia-Fernandez A .2014 .In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing. Antimicrob Agents Chemother, 58 : 3895-3903.
[4] Charalampous T,Kay GL,Richardson H .2019 .Nanopore metagenomics enables rapid clinical diagnosis of bacterial lower respiratory infection. Nat Biotechnol, 37 : 783-792.
[5] Chen S,Y S,Y S .2018 .fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics, 34 : i884-i890.
[6] Dong H,Li Y,Cheng J .2022 .Genomic Epidemiology Insights on NDM-Producing Pathogens Revealed the Pivotal Role of Plasmids on blaNDM Transmission. Microbiol Spectr, 10 : e0215621.
[7] Donia MS,Cimermancic P,Schulze CJ .2014 .A systematic analysis of biosynthetic gene clusters in the human microbiome reveals a common family of antibiotics. Cell, 158 : 1402-1414.
[8] Furlan JPR,Lopes R,Gonzalez IHL .2020 .Comparative analysis of multidrug resistance plasmids and genetic background of CTX-Mproducing recovered from captive wild animals. Appl Microbiol Biot, 104 : 6707-6717.
[9] Gu W,Deng X,Lee M .2021 .Rapid pathogen detection by metagenomic next-generation sequencing of infected body fluids. Nat Med, 27 : 115-124.
[10] Gupta A,Osadchiy V,Mayer EA .2020 .Brain-gut-microbiome interactions in obesity and food addiction. Nat Rev Gastroenterol Hepatol, 17 : 655-672.
[11] Jiang Y,Zhang Y,Lu J .2020 .Clinical relevance and plasmid dynamics of mcr-1-positive Escherichia coli in China: a multicentre casecontrol and molecular epidemiological study. The Lancet Microbe, 1 : e24-e33.
[12] Khan MM,Mushtaq MA,Suleman M .2025 .Fecal microbiota landscape of commercial poultry farms in Faisalabad, Pakistan: A 16S rRNA gene-based metagenomics study. Poult Sci, 104(6) : 105089.
[13] Li D,Liu CM,Luo R .2015 .MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics, 31 : 1674-1676.
[14] Li Y,Sun XR,Xiao X .2023 .Global distribution and genomic characteristics of tet(X)-positive Escherichia coli among humans, animals, and the environment. Science of the Total Environment, 887 : 164148.
[15] Liu YY,Wang Y,Walsh TR .2016 .Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological study. Lancet Infectious Diseases, 16 : 161-168.
[16] Lloyd-Price J,Arze C,Ananthakrishnan AN .2019 .. Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature, 569 : 655-662.
[17] Lu J,Breitwieser FP,Thielen P .2017 .Bracken: estimating species abundance in metagenomics data. Peerj Comput Sci, 3 : e104.
[18] Luo Y,Tan L,Zhang H .2022 .Characteristics of Wild Bird Resistomes and Dissemination of Antibiotic Resistance Genes in Interconnected Bird-Habitat Systems Revealed by Similarity of blaTEM Polymorphic Sequences. Environ Sci Technol, 56 : 15084-15095.
[19] Min J,Kim P,Yun S .2023 .Zoo animal manure as an overlooked reservoir of antibiotic resistance genes and multidrug-resistant bacteria. Environ Sci Pollut R, 30 : 710-726.
[20] Partridge SR,Kwong SM,Firth N .2018 .Mobile Genetic Elements Associated with Antimicrobial Resistance. Clinical Microbiology Reviews, 31(4) : 00088-17.
[21] Sealey JE,Saunders R,Horspool T .2023 .Molecular ecology of highest priority critically important antibiotic resistant Escherichia coli from mammals housed at an urban zoo. J Antimicrob Chemoth, 78 : 1667-1671.
[22] Shen C,Zhong LL,Yang Y .2020 .Dynamics of mcr-1 prevalence and mcr-1-positive Escherichia coli after the cessation of colistin use as a feed additive for animals in China: a prospective cross-sectional and whole genome sequencing-based molecular epidemiological study. The Lancet Microbe, 1 : e34-e43.
[23] Siguier P,Perochon J,Lestrade L .2006 .ISfinder: the reference centre for bacterial insertion sequences. Nucleic Acids Res, 34 : D32-36.
[24] Smillie CS,Smith MB,Friedman J .2011 .Ecology drives a global network of gene exchange connecting the human microbiome. Nature Biotechnology, 480(7376) : 241-244.
[25] Turnbaugh PJ,Ridaura VK,Faith JJ,Gordon R.,Ley J. I.,R. E. J. I. .2009 .The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice. Science Translational Medicine, 1(6) : 6ra14-6ra14.
[26] Wen T,Niu G,Chen T .2023 .The best practice for microbiome analysis using R. Protein Cell, 14(10) : 713-725.
[27] Yang L,Shen Y,Jiang J .2022 .Distinct increase in antimicrobial resistance genes among Escherichia coli during 50 years of antimicrobial use in livestock production in China. Nat Food, 3 : 197-205.
[28] Yang Y,Jiang X,Chai B .2016 .ARGs-OAP: online analysis pipeline for antibiotic resistance genes detection from metagenomic data using an integrated structured ARG-database. Bioinformatics, 32 : 2346-2351.
[29] Yin X,Jiang XT,Chai B .2018 .ARGs-OAP v2.0 with an expanded SARG database and Hidden Markov Models for enhancement characterization and quantification of antibiotic resistance genes in environmental metagenomes. Bioinformatics, 34 : 2263-2270.
[30] Zhang SH,Yang GL,Hou SG .2018 .Distribution of ARGs and MGEs among glacial soil, permafrost, and sediment using metagenomic analysis. Environ Pollut, 234 : 339-346.
[31] Zhao Y,Su JQ,An XL .2018 .Feed additives shift gut microbiota and enrich antibiotic resistance in swine gut. Sci Total Environ, 621 : 1224-1232.
[32] Zhu YG,Johnson TA,Su JQ .2013 .Diverse and abundant antibiotic resistance genes in Chinese swine farms. Proc Natl Acad Sci U S A, 110 : 3435-3440.
Citations
Citations are not available for this document.
0

Citations

0

Downloads

4

Views