1
|
Chen C, Li Y, Wu Z, Ruan Y, Long T, Wang X, Li W, Ren H, Liao X, Liu Y, Lian X, Sun J. Cat and dog feces as reservoirs of diverse novel antibiotic resistance genes. ENVIRONMENTAL RESEARCH 2024; 261:119690. [PMID: 39068967 DOI: 10.1016/j.envres.2024.119690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/21/2024] [Accepted: 07/25/2024] [Indexed: 07/30/2024]
Abstract
Companion animals have the potential to greatly enhance the physical and mental health of humans, thus leading to an increased focus on the interactions between humans and pets. Currently, the inappropriate and excessive utilization of antimicrobial agents has become prevalent in veterinary clinical practice for pets. This antibiotic contamination phenomenon has a profound impact on the enrichment of antibiotic resistance bacteria (ARB) and antibiotic resistance genes (ARGs) in pets. However, the pet-associated resistome, especially the novel ARGs in pets, represents a relatively neglected area. In this study, we successfully constructed a total of 12 libraries using the functional metagenomics approach to assess the diversity of ARGs in pet cats and dogs from four pet hospitals. Through the integration of functional screening and high-throughput sequencing, a total of 122 antibiotic resistance determinants were identified, of which 15 were classified as putative novel ARGs originating from five classes. Functional assessment demonstrated that 6 novel ARGs including one β-lactam, two macrolides, two aminoglycosides, and one rifamycin (RIF), namely blaPF, ermPF, msrPF, aac(6')PF, aph(3')PF, and arrPF, exhibited functionally activity in conferring bacterial phenotypic resistance by increasing the minimum inhibitory concentrations (MICs) with a 4- to 128-fold. Genetic context analysis demonstrated that, with the exception of aac(6')PF and arrPF, the remaining four novel ARGs were found adjacent to mobile genetic elements (MGEs) including IS elements or transposases, which provided a prerequisite for horizontal transfer of these novel ARGs, thereby offering an explanation for their detection in diverse samples collected from various sampling sites. The current study has unveiled the significant role of cat and dog feces as one source of reservoirs of diverse novel ARGs, while also highlighting the potential adverse consequences of their further spread to medically significant pathogens and human commensal organisms.
Collapse
Affiliation(s)
- Caiping Chen
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China
| | - Yuanyuan Li
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China
| | - Zhihong Wu
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China
| | - Yali Ruan
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China
| | - Tengfei Long
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China
| | - Xiran Wang
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China
| | - Wenjie Li
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China
| | - Hao Ren
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China
| | - Xiaoping Liao
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China
| | - Yahong Liu
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, 225009, China
| | - Xinlei Lian
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China.
| | - Jian Sun
- State Key Laboratory for Animal Disease Control and Prevention, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, National Risk Assessment Laboratory for Antimicrobial Resistance of Animal Original Bacteria, College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China; Guangdong Provincial Key Laboratory of Veterinary Pharmaceutics Development and Safety Evaluation, South China Agricultural University, Guangzhou, 510642, China.
| |
Collapse
|
2
|
Shang KM, Elsheikha HM, Ma H, Wei YJ, Zhao JX, Qin Y, Li JM, Zhao ZY, Zhang XX. Metagenomic profiling of cecal microbiota and antibiotic resistome in rodents. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 286:117186. [PMID: 39426111 DOI: 10.1016/j.ecoenv.2024.117186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 09/18/2024] [Accepted: 10/10/2024] [Indexed: 10/21/2024]
Abstract
The rodent gut microbiota is a known reservoir of antimicrobial resistance, yet the distribution of antibiotic resistance genes (ARGs) within rodent cecal microbial communities and the specific bacterial species harboring these ARGs remain largely underexplored. This study employed high-throughput sequencing of 122 samples from five distinct rodent species to comprehensively profile the diversity and distribution of ARGs and to identify the bacterial hosts of these genes. A gene catalog of the rodent cecal microbiome was constructed, comprising 22,757,369 non-redundant genes. Analysis of the microbial composition and diversity revealed that Bacillota and Bacteroidota were the dominant bacterial phyla across different rodent species, with significant variations in species composition among the rodents. In total, 3703 putative antimicrobial resistance protein-coding genes were identified, corresponding to 392 unique ARG types classified into 32 resistance classes. The most enriched ARGs in the rodent cecal microbiome were associated with multidrug resistance, followed by glycopeptide and elfamycin antibiotics. Procrustes analysis demonstrated a correlation between the structure of the microbial community and the resistome. Metagenomic assembly-based host tracking indicated that most ARG-carrying contigs originated from the bacterial family Oscillospiraceae. Additionally, 130 ARGs showed significant correlations with mobile genetic elements. These findings provide new insights into the cecal microbiota and the prevalence of ARGs across five rodent species. Future research on a wider range of wild rodent species carrying ARGs will further elucidate the mechanisms underlying the transmission of antimicrobial resistance.
Collapse
Affiliation(s)
- Kai-Meng Shang
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, PR China
| | - Hany M Elsheikha
- Faculty of Medicine and Health Sciences, School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Loughborough, United Kingdom
| | - He Ma
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, PR China
| | - Yong-Jie Wei
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, PR China
| | - Ji-Xin Zhao
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, PR China
| | - Ya Qin
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, PR China; College of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin Province, PR China
| | - Jian-Ming Li
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin Province, PR China; Jilin Provincial Engineering Research Center for Efficient Breeding and Product Development of Sika Deer, Changchun, Jilin Province, PR China; Key Laboratory of Animal Production and Product Quality and Security, Ministry of Education, Ministry of National Education, Changchun, Jilin Province, PR China
| | - Zi-Yu Zhao
- College of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin Province, PR China
| | - Xiao-Xuan Zhang
- College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong Province, PR China.
| |
Collapse
|
3
|
Cai TG, Zhang JD, Lu L, Wang YF, Zhu D. Captivity increased the abundance of high-risk antibiotic resistance genes in the giant panda gut microbiome. ENVIRONMENTAL RESEARCH 2024; 263:120220. [PMID: 39448015 DOI: 10.1016/j.envres.2024.120220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Revised: 10/06/2024] [Accepted: 10/21/2024] [Indexed: 10/26/2024]
Abstract
Captivity is a key strategy for protecting endangered species, but research has primarily focused on artificial breeding and reintroduction to bolster wild populations, often overlooking the environmental and health risks associated with antibiotic resistance genes (ARGs). Here, we conducted a comprehensive analysis of the microbiome and ARG profiles in the gut of wild giant pandas across five representative populations, as well as one captive population, utilizing 16S rRNA gene sequencing and High-Throughput Quantitative PCR. Our findings revealed that both geographic location and captivity significantly influenced the gut microbial community and ARG composition in the gut of giant pandas. Additionally, we identified core microbiomes with essential ecological functions, particularly those related to food utilization, were identified in the giant panda gut across different regions. The gut ARGs in giant pandas exhibited a broad range of subtypes, with multidrug resistance genes being the most prevalent. Notably, the captive population harbored the highest abundance of high-risk ARGs, especially those conferring tetracycline resistance. High-risk multidrug ARGs (e.g., tolC, mepA, and mdtA) were found to be strongly correlated with the potential pathogens, such as Escherichia_Shigellina and Pseudomonas. Furthermore, bamboo-associated ARGs and mobile genetic elements (MGEs) contributed significantly to the ARG abundance in the giant panda gut, indicating that diet plays a crucial role in shaping gut resistome. Collectively, our study provides a detailed mapping of giant panda gut microbiomes and ARG distribution, offering valuable insights for conservation efforts and advancing our understanding of ARG dynamics in giant panda populations.
Collapse
Affiliation(s)
- Tian-Gui Cai
- Key Laboratory of Southwest China Wildlife Resources Conservation, China West Normal University, Ministry of Education, Nanchong, Sichuan Province 637009, China; College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
| | - Jin-Dong Zhang
- Key Laboratory of Southwest China Wildlife Resources Conservation, China West Normal University, Ministry of Education, Nanchong, Sichuan Province 637009, China.
| | - Lu Lu
- College of Environmental Science and Engineering, China West Normal University, Nanchong 637009, China
| | - Yi-Fei Wang
- Key Laboratory of Urban Environment and Health, Ningbo Urban Environment Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China.
| | - Dong Zhu
- Key Laboratory of Urban Environment and Health, Ningbo Urban Environment Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
| |
Collapse
|
4
|
Zhuang Y, Liu S, Xiao J, Chen T, Gao D, Xu Y, Jiang W, Wang J, Hou G, Li S, Zhao X, Huang Y, Li S, Zhang S, Li M, Wang W, Li S, Cao Z. Metagenomics reveals the characteristics and potential spread of microbiomes and virulence factor genes in the dairy cattle production system. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:136005. [PMID: 39369676 DOI: 10.1016/j.jhazmat.2024.136005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 09/13/2024] [Accepted: 09/28/2024] [Indexed: 10/08/2024]
Abstract
Virulence factor genes (VFGs) pose a potential threat to ecological security and animal health, and have attracted increasing attention in the livestock industry. As one of the primary livestock types, dairy cattle may be an important source of VFG transmission. However, the distribution, transmission, and evolution of VFGs in the gastrointestinal tract and surrounding environment of dairy cattle remain unclear. In the present study, a total of 263 samples were collected from cows, calves, colostrum, farm wastewater, and soil. Metagenomics was conducted to analyze changes in the microbiome and VFGs characteristics in these ecological niches. The VFGs of the cows showed distinct differences between the rumen and feces, and were influenced by the region. The dominant VFG hosts was regulated by their microbial structure. Colostrum administration of cows increased VFG abundance in their newborn calf feces sharply and Enterobacteriaceae became the primary host. While diet was the primary driving force for the temporal variation in calf VFGs. For samples of the surrounding environment, water and soil had higher VFG concentrations and were more structurally stable. Moreover, extensive interactions between the mobile genetic elements and VFGs and gene mobile analysis map based on metagenomic binning both displayed the potential horizontal transfer ability of VFGs in the cows and environment. Our study revealed the prevalence, diffusion, and regulatory factors of VFGs in dairy cattle production systems, providing novel insights into reducing livestock VFGs and limiting their spread.
Collapse
Affiliation(s)
- Yimin Zhuang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shuai Liu
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jianxin Xiao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; Animal Nutrition Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Tianyu Chen
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Duo Gao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yiming Xu
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang Uygur Autonomous Region 830052, China
| | - Wen Jiang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang Uygur Autonomous Region 830052, China
| | - Jingjun Wang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Guobin Hou
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; College of Animal Science and Technology, Beijing University of Agriculture, Beijing 102206, China
| | - Sumin Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xinjie Zhao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yanting Huang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shangru Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Siyuan Zhang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang Uygur Autonomous Region 830052, China
| | - Mengmeng Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Wei Wang
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Shengli Li
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Zhijun Cao
- State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| |
Collapse
|
5
|
An L, Wu Y, Zhang B, Xu Q, Liao L, Wu S, Xu X, He Q, Pei X, Chen J. Transmission chains and molecular characterizations of extended-spectrum β-lactamase producing Enterobacteriaceae at a veterinary hospital in Chengdu, China. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 124:105658. [PMID: 39168275 DOI: 10.1016/j.meegid.2024.105658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 08/15/2024] [Accepted: 08/17/2024] [Indexed: 08/23/2024]
Abstract
The rapid emergence of Extended-spectrum β-lactamase producing Enterobacteriaceae (ESBL-E) is a major global public health concern. Previous studies have identified that intensive medical care of dogs and cats in veterinary hospitals have accelerated the infections and spread of ESBL-E. To investigate the spread of ESBL-E in a veterinary hospital, a total of 202 samples including hospitalized animals, veterinary healthcare workers and environment were collected from a veterinary hospital in Chengdu, China. ESBL-E were identified by antimicrobial susceptibility testing and 16 s rRNA sequencing and were further conducted on ESBL gene detection and multilocus sequence typing (MLST). At last, strains with transmission potential were analyzed by whole genome sequencing (WGS). Our results showed that the overall prevalence of ESBL-positive isolates was 34.7% (70/202), with 55.3% (26/47) in animals, 29.3% (12/41) in healthcare workers and 28.1% (32/114) in environment swabs. Twenty diverse MLST types were detected, with ST744, ST231 as the most prevalent ones. Transmission chains of two ESBL-E.coli (ST744 blaCTX-M-18, blaTEM-1) from cat_21 to cat_14, and two ESBL-Kp (ST231 blaCTX-M-27, blaTEM-1, blaSHV-1) from cat_20 to cat_37 were further confirmed by WGS. Furthermore, interdisciplinary investigation and cooperation of AMR are needed to better limit the transmissions of high-risk strains and to implement effective public health interventions.
Collapse
Affiliation(s)
- Longyi An
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, Chengdu 610041, Sichuan, China
| | - Yating Wu
- Beijing Tongzhou District Center for Disease Control and Prevention, Luhe Middle School, 1 North Street, Tongzhou District, Beijing, China
| | - Baochao Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, Chengdu 610041, Sichuan, China
| | - Qiuhong Xu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, Chengdu 610041, Sichuan, China
| | - Linxuan Liao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, Chengdu 610041, Sichuan, China
| | - Shanshan Wu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, Chengdu 610041, Sichuan, China
| | - Xin Xu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, Chengdu 610041, Sichuan, China
| | - Qiurong He
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, Chengdu 610041, Sichuan, China
| | - Xiaofang Pei
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, Chengdu 610041, Sichuan, China; Non-Communicable Diseases Research Center, West China-PUMC C. C. Chen Institute of Health, Sichuan University, Chengdu 610041, China
| | - Jiayi Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, Chengdu 610041, Sichuan, China.
| |
Collapse
|
6
|
Yuan Y, Mo C, Huang F, Liao X, Yang Y. Microbial metabolism affects the antibiotic resistome in the intestine of laying hens. Poult Sci 2024; 103:104138. [PMID: 39146922 PMCID: PMC11375135 DOI: 10.1016/j.psj.2024.104138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/08/2024] [Accepted: 07/24/2024] [Indexed: 08/17/2024] Open
Abstract
Intestinal microbial metabolism has an important impact on the health of laying hens, and microbes are also important hosts for ARGs. However, the relationship between intestinal microbes and antibiotic resistance in laying hens is unclear. In this study, a slaughtering experiment, an in vitro fermentation experiment and a single-bacteria culture experiment were carried out, and metagenomic and metabolomic analyses were used to investigate the relationships between microbial metabolism and the antibiotic resistome in the cecum of laying hens. The results showed that there were different types of ARGs in the intestines of laying hens, and the risk scores of the ARGs tended to decrease with growth stage. A total of 1142 metagenome-assembled genomes (MAGs) were obtained, and Escherichia coli was found to be the dominant ARG host, carrying 62 ARGs. Metabolomics revealed that indole and its derivatives, such as indole-3-lactic acid, were negatively correlated with a variety of ARGs. Moreover, in vitro fermentation experiment and single-bacteria culture experiment demonstrated that indole-3-lactic acid reduced the abundance and risk of multiple ARGs in the intestine and inhibited the growth of the ARG host Escherichia coli. In the context of high concern about intestinal microbial metabolism and antibiotic resistance, this is the first study to focus on the relationship between intestinal microbial metabolism and antibiotic resistance in laying hens. These findings have important implications for healthy farming and antibiotic resistance control.
Collapse
Affiliation(s)
- Yilin Yuan
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510640, China
| | - Chunhao Mo
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510640, China
| | - Feng Huang
- School of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Xindi Liao
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510640, China
| | - Yiwen Yang
- Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510640, China.
| |
Collapse
|
7
|
Vernaccini M, De Marchi L, Briganti A, Lippi I, Marchetti V, Meucci V, Intorre L. Antimicrobial Use in Cats in a University Veterinary Hospital in Central Italy: A Retrospective Study. Antibiotics (Basel) 2024; 13:927. [PMID: 39452194 PMCID: PMC11504110 DOI: 10.3390/antibiotics13100927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 09/05/2024] [Accepted: 09/25/2024] [Indexed: 10/26/2024] Open
Abstract
Background: Monitoring antimicrobial use is crucial for understanding current prescribing practices. Such information helps in establishing stewardship programs for effectively using antimicrobials and combating resistance to them. Objectives: This study describes how antimicrobials are prescribed at the Veterinary Teaching Hospital of the University of Pisa and compares how the internal medicine and intensive care units differ in their usage of antimicrobials. Methods: The study involved cats that were presented in the units in 2021 and 2022. Antimicrobial prescriptions were obtained via the hospital's management software (OCIROE). Results: In a population of 1164 non-surgical cats with 397 antimicrobials prescribed, the most prescribed ones were amoxicillin-clavulanic acid in the internal medicine unit and ampicillin in the intensive care unit. Twenty-five percent of all antimicrobials were Highest-Priority Critically Important Antimicrobials or Antimicrobial Advice Ad Hoc Expert Group Category B. The oral route was the main route of administration in the internal medicine unit, while parenteral was the most common route used in the intensive care unit. Most antimicrobials were prescribed to treat pathologic conditions affecting the urinary (39%), gastroenteric (21%), respiratory (13%), and integumentary (12%) systems. A diagnosis, accurate dosage, and the use of species-approved medications were recorded in the antimicrobial prescriptions. However, only 11% of these prescriptions were supported by antimicrobial susceptibility tests. Conclusions: These results suggest room for improvement, particularly in increasing the use of antimicrobial susceptibility testing to ensure more targeted antimicrobial therapy. Given the importance of antimicrobial resistance and the One Health approach, the study also highlights the need to consider the broader impact of antimicrobial use in animals, including the potential contribution to resistance in bacteria that affect both animal and human health.
Collapse
Affiliation(s)
| | | | | | | | | | - Valentina Meucci
- Veterinary Teaching Hospital, Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy; (M.V.); (L.D.M.); (A.B.); (I.L.); (V.M.); (L.I.)
| | | |
Collapse
|
8
|
Ziagham A, Gharibi D, Mosallanejad B, Avizeh R. Molecular characterization of Pasteurella multocida from cats and antibiotic sensitivity of the isolates. Vet Med Sci 2024; 10:e1424. [PMID: 38519838 PMCID: PMC10959823 DOI: 10.1002/vms3.1424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 02/02/2024] [Accepted: 03/10/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Companion animals, including dogs and cats, are frequently identified as sources of Pasteurella multocida, a bacterium that can be transmitted to humans and cause infections. OBJECTIVES This survey defines the prevalence, antibiotic sensitivity, capsular types, lipopolysaccharide (LPS) types and virulence factors of P. multocida isolated from cats. METHODS A total of 100 specimens from various cat breeds were collected. P. multocida was characterized using both biochemical tests and PCR. Genotypes of isolates were determined using capsular and LPS typing methods. Additionally, virulotyping was performed by detecting the presence of 12 virulence-associated genes. Disk diffusion was used to determine the antibiotic sensitivity of the isolates. RESULTS The prevalence of P. multocida in cats was 29%. Among the isolates, the majority were capsular type A (96.5%) and type D (3.4%), with a predominant presence of type A. Twenty-six of the isolates (89.66%) belonged to LPS genotype L6, whereas three isolates (10.3%) belonged to genotype L3. Among the 12 virulence genes examined, sodC, oma87, ptfA, nanB and ompH showed remarkable prevalence (100%). The toxA gene was detected in four isolates (13.8%). Variations were observed in other virulence genes. The nanH gene was present in 93.1% of the isolates, whereas the pfhA gene was detected in 58.6% of the isolates. The exbD-tonB, hgbB, sodA and hgbA genes showed prevalence rates of 96.5%, 96.5%, 96.5% and 82.8%, respectively. Additionally, particular capsule and LPS types were associated with specific virulence genes. Specifically, the toxA and pfhA genes were found to be more prevalent in isolates with capsular type A and LPS genotype L6. Most isolates were resistant to ampicillin, clindamycin, lincomycin, streptomycin and penicillin. CONCLUSIONS According to this epidemiological and molecular data, P. multocida from cats possess several virulence-associated genes and are resistant to antimicrobial medicines commonly used in humans and animals. Thus, it is crucial to consider the public health concerns of P. multocida in humans.
Collapse
Affiliation(s)
- Ali Ziagham
- Graduated of Veterinary MedicineShahid Chamran University of AhvazAhvazIran
| | - Darioush Gharibi
- Department of PathobiologyFaculty of Veterinary MedicineShahid Chamran University of AhvazAhvazIran
| | - Bahman Mosallanejad
- Department of Clinical SciencesFaculty of Veterinary MedicineShahid Chamran University of AhvazAhvazIran
| | - Reza Avizeh
- Department of Clinical SciencesFaculty of Veterinary MedicineShahid Chamran University of AhvazAhvazIran
| |
Collapse
|
9
|
De Marchi L, Vernaccini M, Meucci V, Briganti A, Lippi I, Marchetti V, Intorre L. Six-Year Prescription Pattern of Antimicrobial Use in Cats at the Veterinary Teaching Hospital of the University of Pisa. Animals (Basel) 2024; 14:521. [PMID: 38338164 PMCID: PMC10854698 DOI: 10.3390/ani14030521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/19/2024] [Accepted: 02/01/2024] [Indexed: 02/12/2024] Open
Abstract
The use of antimicrobials has greatly contributed to improving animal health. However, their inappropriate use reduces their effectiveness in treating bacterial infections and contributes to the selection of resistance. This study aimed to retrospectively evaluate the six-year pattern (2017-2022) of antimicrobial use in cats visiting the Veterinary Teaching Hospital (VTH) of the University of Pisa (Italy). The total number of prescribed antimicrobials, the number of animals for which an antimicrobial was prescribed, and the total number of antimicrobial prescriptions showed a significant time trend decrease during the study period, except for the fixed-dose combinations. The most frequently prescribed antimicrobials were amoxicillin-clavulanic acid (Synulox) (39.1%) followed by enrofloxacin (29.8%). These antimicrobials were mostly prescribed to treat infections affecting the genitourinary tract (~30%), followed by the gastrointestinal tract, skin, and respiratory system affections. Antimicrobials in empirical associations represented 13.0% of the total antimicrobial prescriptions, and the combination of amoxicillin-clavulanic acid (Synulox) with enrofloxacin accounted for the majority. The oral route represented the main route of administration of prescribed antimicrobials, followed by parenteral and topical ones. Amoxicillin-clavulanic acid (Synulox) (37.2%), ceftriaxone (2.7%), and tobramycin (2.8%) were the most prescribed antimicrobials for the oral, parenteral, and topical routes, respectively. Antimicrobial prescriptions complied with prudent use recommendations in terms of availability of diagnosis, respect to the dose range, duration of treatment, and the use of medicinal products approved for the species. On the contrary, antimicrobial susceptibility tests were used infrequently (5.2%), lacking compliance with the existing guidelines observed in companion animal practice. Overall, additional interventions are required not only to improve the responsible use of antimicrobials in our feline practice but also to implement antimicrobial stewardship programs, enhancing diagnostics such as culture and sensitivity testing in the future.
Collapse
Affiliation(s)
| | | | - Valentina Meucci
- Veterinary Teaching Hospital, Department of Veterinary Sciences, University of Pisa, 56124 Pisa, Italy; (L.D.M.); (M.V.); (A.B.); (I.L.); (V.M.); (L.I.)
| | | | | | | | | |
Collapse
|
10
|
Branck T, Hu Z, Nickols WA, Walsh AM, Bhosle A, Short MI, Nearing JT, Asnicar F, McIver LJ, Maharjan S, Rahnavard A, Louyakis AS, Badri DV, Brockel C, Thompson KN, Huttenhower C. Comprehensive profile of the companion animal gut microbiome integrating reference-based and reference-free methods. THE ISME JOURNAL 2024; 18:wrae201. [PMID: 39394961 PMCID: PMC11523182 DOI: 10.1093/ismejo/wrae201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 09/19/2024] [Accepted: 10/09/2024] [Indexed: 10/14/2024]
Abstract
The gut microbiome of companion animals is relatively underexplored, despite its relevance to animal health, pet owner health, and basic microbial community biology. Here, we provide the most comprehensive analysis of the canine and feline gut microbiomes to date, incorporating 2639 stool shotgun metagenomes (2272 dog and 367 cat) spanning 14 publicly available datasets (n = 730) and 8 new study populations (n = 1909). These are compared with 238 and 112 baseline human gut metagenomes from the Human Microbiome Project 1-II and a traditionally living Malagasy cohort, respectively, processed in a manner identical to the animal metagenomes. All microbiomes were characterized using reference-based taxonomic and functional profiling, as well as de novo assembly yielding metagenomic assembled genomes clustered into species-level genome bins. Companion animals shared 184 species-level genome bins not found in humans, whereas 198 were found in all three hosts. We applied novel methodology to distinguish strains of these shared organisms either transferred or unique to host species, with phylogenetic patterns suggesting host-specific adaptation of microbial lineages. This corresponded with functional divergence of these lineages by host (e.g. differences in metabolic and antibiotic resistance genes) likely important to companion animal health. This study provides the largest resource to date of companion animal gut metagenomes and greatly contributes to our understanding of the "One Health" concept of a shared microbial environment among humans and companion animals, affecting infectious diseases, immune response, and specific genetic elements.
Collapse
Affiliation(s)
- Tobyn Branck
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Science and Technology Center, Hill’s Pet Nutrition, Inc., Topeka, KS, United States
| | - Zhiji Hu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - William A Nickols
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Aaron M Walsh
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Amrisha Bhosle
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Meghan I Short
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Jacob T Nearing
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | | | - Lauren J McIver
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Sagun Maharjan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Ali Rahnavard
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States
| | - Artemis S Louyakis
- Science and Technology Center, Hill’s Pet Nutrition, Inc., Topeka, KS, United States
| | - Dayakar V Badri
- Science and Technology Center, Hill’s Pet Nutrition, Inc., Topeka, KS, United States
| | - Christoph Brockel
- Science and Technology Center, Hill’s Pet Nutrition, Inc., Topeka, KS, United States
| | - Kelsey N Thompson
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, United States
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| |
Collapse
|