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Wang X, Shang Y, Xing Y, Chen Y, Wu X, Zhang H. Captive environments reshape the compositions of carbohydrate active enzymes and virulence factors in wolf gut microbiome. BMC Microbiol 2025; 25:142. [PMID: 40087549 PMCID: PMC11909886 DOI: 10.1186/s12866-025-03863-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Accepted: 03/04/2025] [Indexed: 03/17/2025] Open
Abstract
Species in the family Canidae occupy different spatial ecological niches, and some (e.g., wolf) can be kept in zoos. The gut microbiome may differ among various wild and captive canids. Therefore, we compared the gut microbiomes of wild canids (wolf, red fox, and corsac fox) in the Hulun Lake area, captive wolves, and domestic dogs in different regions using metagenomic data. A random forest analysis revealed significant enrichment for bacterial species producing short-chain fatty acids and the thermogenesis pathway (ko04714) in the gut microbiome of wild wolf, potentially providing sufficient energy for adaptation to a wide range of spatial ecological niches. The significantly enriched bacterial species and functional pathways in the gut microbiome of corsac foxes were related to physiological stability and adaptation to arid environments. Alpha diversity of carbohydrate-active enzymes in the gut microbiome was higher in the red fox than in the corsac fox and wild wolf, which may be related to the abundance of plant seeds (containing carbohydrates) in their diets (red foxes inhabit seed-rich willow bosk habitats). However, the influence of host genetic factors cannot be excluded, and further experimental studies are needed to verify the study results. In addition, captive environments drove similarity in carbohydrate-active enzymes (CAZymes) and virulence factors (VFs) in the gut microbiomes of captive wolf and domestic dog, and increased the diversity of CAZymes and VFs in the gut microbiome of captive wolf. Increased VFs diversity may increase the pathogenic potential of the gut microbiome in captive wolves. Therefore, it is necessary to continue monitoring the health status of captive wolves and develop appropriate management strategies.
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Affiliation(s)
- Xibao Wang
- College of Life Sciences, Qufu Normal University, 57 Jingxuan West Road, Qufu, Shandong Province, China
| | - Yongquan Shang
- College of Life Sciences, Qufu Normal University, 57 Jingxuan West Road, Qufu, Shandong Province, China
| | - Yamin Xing
- College of Life Sciences, Qufu Normal University, 57 Jingxuan West Road, Qufu, Shandong Province, China
| | - Yao Chen
- College of Life Sciences, Qufu Normal University, 57 Jingxuan West Road, Qufu, Shandong Province, China
| | - Xiaoyang Wu
- College of Life Sciences, Qufu Normal University, 57 Jingxuan West Road, Qufu, Shandong Province, China
| | - Honghai Zhang
- College of Life Sciences, Qufu Normal University, 57 Jingxuan West Road, Qufu, Shandong Province, China.
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Liversidge BD, Dodd SAS, Adolphe JL, Gomez DE, Blois SL, Verbrugghe A. The fecal metabolomic signature of a plant-based (vegan) diet compared to an animal-based diet in healthy adult client-owned dogs. J Anim Sci 2025; 103:skaf054. [PMID: 40036327 PMCID: PMC12056932 DOI: 10.1093/jas/skaf054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 02/24/2025] [Indexed: 03/06/2025] Open
Abstract
Despite the rising popularity of plant-based (vegan) diets for dogs, the metabolic effects of plant-based diets in dogs have not been thoroughly investigated. Evaluating the impact of a vegan diet on the fecal metabolome in dogs could offer valuable insight into the effects on gastrointestinal and overall health. This study evaluated the fecal metabolic signature of an experimental extruded vegan diet (PLANT) compared to a commercial extruded animal-based diet (MEAT) in healthy adult dogs. Sixty-one client-owned healthy adult dogs completed a randomized, double-blinded longitudinal study consisting of a 4-wk acclimation period, where all dogs received the MEAT diet, followed by a 12-wk experimental period where they either continued with the MEAT diet or switched to the PLANT diet. Fecal collections occurred at baseline (after 4-wk acclimation) and exit (after the experimental period). Fecal metabolites were quantified using 1H nuclear magnetic resonance spectroscopy. Multiple mixed model gamma linear regression was used to evaluate the association of metabolite concentration against age, sex, and body weight, along with an interaction between diet and time. Sixty-six metabolites were quantified. Only 2/66 metabolites differed between groups at baseline and within the MEAT diet group over time. In contrast, 46/66 metabolites differed in concentrations over time in response to feeding the PLANT diet. At the exit time-point, dogs fed the PLANT diet had increased metabolites related to carbohydrate fermentation, such as acetic (P < 0.01) and propanoic (P < 0.01) acid and increases in sugar metabolites when compared to the MEAT group. These findings indicate that the fecal metabolic signature of dogs fed a plant-based diet is distinct from dogs fed an animal-based diet, even if both diets have a similar nutrient profile and are processed similarly.
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Affiliation(s)
- Brooklynn D Liversidge
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, CanadaN1G 2W1
| | - Sarah A S Dodd
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, CanadaN1G 2W1
| | - Jennifer L Adolphe
- Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, CanadaS7N 5B4
- Petcurean Pet Nutrition, Chilliwack, BC, CanadaV2R 5M3
| | - Diego E Gomez
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, CanadaN1G 2W1
| | - Shauna L Blois
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, CanadaN1G 2W1
| | - Adronie Verbrugghe
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, CanadaN1G 2W1
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Gao Y, Zhang H, Zhu D, Guo L. Different artificial feeding strategies shape the diverse gut microbial communities and functions with the potential risk of pathogen transmission to captive Asian small-clawed otters ( Aonyx cinereus). mSystems 2024; 9:e0095424. [PMID: 39601555 DOI: 10.1128/msystems.00954-24] [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: 07/16/2024] [Accepted: 11/04/2024] [Indexed: 11/29/2024] Open
Abstract
Captive otters raised in zoos are fed different artificial diets, which may shape gut microbiota. The objective is to evaluate the impacts of two different artificial diets on microbial communities and function capabilities and short-chain fatty acid (SCFA) profiles in healthy otters' feces. A total of 16 Asian small-clawed otters in two groups (n = 8) were selected. Group A otters were fed raw loaches supplemented with commercial cat food (LSCF) diet, and group B otters were fed raw crucian diet. The communities and functional capabilities of microbiota in feces were assessed with metagenomic sequencing. Captive otters fed two kinds of diets possessed different gut microbial communities and functional capabilities. Various pathogenic bacteria, like Escherichia coli and Clostridium perfringens, were enriched in the samples from the two groups, respectively. Most of the differential pathways of nutrient metabolism were significantly enriched in group A, and the distributions of carbohydrate enzymes in the two groups significantly differed from each other. Multiple resistance genes markedly accumulated in fecal samples of the group A otters with LSCF diet. Higher concentrations of SCFAs were also observed in group A otters. Two feeding strategies were both likely to facilitate the colonization and expansion of various pathogenic bacteria and the accumulation of resistance genes in the intestines of captive otters, suggesting that risk of pathogen transmission existed in the current feeding process. Commercial cat food could supplement various nutrients and provide a substrate for the production of SCFAs, which might be beneficial for the otters' intestinal fermentation and metabolism. IMPORTANCE Captive otters fed with different diets possessed distinct gut microbial communities and functions, with the enrichment of several pathogens and multiple resistance genes in their gut microbiota. The current artificial feeding strategies had the possibility to accelerate the colonization and proliferation of various pathogenic bacteria in the intestines of otters and the spread of resistance genes, increasing the risk of diseases. In addition, supplementation with commercial cat food had benefits for otters' intestinal fermentation and the metabolism of gut microbiota.
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Affiliation(s)
- Yuanda Gao
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Hangyu Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Dapeng Zhu
- Foping National Nature Reserve, Hanzhong, China
| | - Long Guo
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
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Liversidge BD, Gomez DE, Dodd SAS, MacNicol JL, Adolphe JL, Blois SL, Verbrugghe A. Comparison of the fecal microbiota of adult healthy dogs fed a plant-based (vegan) or an animal-based diet. Front Microbiol 2024; 15:1367493. [PMID: 38694809 PMCID: PMC11061427 DOI: 10.3389/fmicb.2024.1367493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/02/2024] [Indexed: 05/04/2024] Open
Abstract
Purpose Pet guardians are increasingly seeking vegan dog foods. However, research on the impact of these diets on gastrointestinal (GI) physiology and health is limited. In humans, vegan diets modify the GI microbiota, increasing beneficial digestive microorganisms. This study aimed to examine the canine fecal microbiota in response to a vegan diet compared to an animal-based diet. Methods Sixty-one client-owned healthy adult dogs completed a randomized, double-blinded longitudinal study. Dogs were randomly assigned into two groups that were fed either a commercial extruded animal-based diet (MEAT, n = 30) or an experimental extruded vegan diet (PLANT, n = 31) for 12 weeks. Fecal collections occurred at the start of the experimental period and after 3 months of exclusively feeding either diet. Bacterial DNA was extracted from the feces, and the V4 region of the 16S rRNA gene was amplified using PCR and sequenced on Illumina MiSeq. Beta-diversity was measured using Jaccard and Bray-Curtis distances, and the PERMANOVA was used to assess for differences in fecal microbiota within and between groups. Alpha-diversity indices for richness, evenness, and diversity, as well as relative abundance, were calculated and compared between groups. Results Beta-diversity differences occurred between diet groups at exit time-point with differences on Bray-Curtis distances at the family and genus levels (p = 0.007 and p = 0.001, respectively), and for the Jaccard distance at the family and genus level (p = 0.006 and p = 0.011, respectively). Significant differences in alpha-diversity occurred when comparing the PLANT to the MEAT group at the exit time-point with the PLANT group having a lower evenness (p = 0.012), but no significant differences in richness (p = 0.188), or diversity (p = 0.06). At exit-timepoint, compared to the MEAT group, the relative abundance of Fusobacterium, Bacteroides, and Campylobacter was lower in the PLANT group. The relative abundance of Fusobacterium decreased over time in the PLANT group, while no change was observed in the MEAT group. Conclusion These results indicate that vegan diets may change the canine gut microbiota. Future studies are warranted to confirm our results and determine long-term effects of vegan diets on the canine gut microbiome.
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Affiliation(s)
- Brooklynn D. Liversidge
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Diego E. Gomez
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Sarah A. S. Dodd
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Jennifer L. MacNicol
- Department of Animal Biosciences, Ontario Agricultural College, University of Guelph, Guelph, ON, Canada
| | - Jennifer L. Adolphe
- Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada
- Petcurean Pet Nutrition, Chilliwack, BC, Canada
| | - Shauna L. Blois
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Adronie Verbrugghe
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
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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.
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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
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Amir A, Ozel E, Haberman Y, Shental N. Achieving pan-microbiome biological insights via the dbBact knowledge base. Nucleic Acids Res 2023; 51:6593-6608. [PMID: 37326027 PMCID: PMC10359611 DOI: 10.1093/nar/gkad527] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/26/2023] [Accepted: 06/08/2023] [Indexed: 06/17/2023] Open
Abstract
16S rRNA amplicon sequencing provides a relatively inexpensive culture-independent method for studying microbial communities. Although thousands of such studies have examined diverse habitats, it is difficult for researchers to use this vast trove of experiments when interpreting their own findings in a broader context. To bridge this gap, we introduce dbBact - a novel pan-microbiome resource. dbBact combines manually curated information from studies across diverse habitats, creating a collaborative central repository of 16S rRNA amplicon sequence variants (ASVs), which are assigned multiple ontology-based terms. To date dbBact contains information from more than 1000 studies, which include 1500000 associations between 360000 ASVs and 6500 ontology terms. Importantly, dbBact offers a set of computational tools allowing users to easily query their own datasets against the database. To demonstrate how dbBact augments standard microbiome analysis we selected 16 published papers, and reanalyzed their data via dbBact. We uncovered novel inter-host similarities, potential intra-host sources of bacteria, commonalities across different diseases and lower host-specificity in disease-associated bacteria. We also demonstrate the ability to detect environmental sources, reagent-borne contaminants, and identify potential cross-sample contaminations. These analyses demonstrate how combining information across multiple studies and over diverse habitats leads to better understanding of underlying biological processes.
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Affiliation(s)
- Amnon Amir
- Microbiome center, Sheba Medical Center, Israel
| | - Eitan Ozel
- Dept. of Computer Science, The Open University of Israel, Israel
| | - Yael Haberman
- Pediatric Gastroenterology, Hepatology and Nutrition Unit, Sheba Medical Center, Israel
| | - Noam Shental
- Dept. of Computer Science, The Open University of Israel, Israel
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Liu L, Dong Z, Ai S, Chen S, Dong M, Li Q, Zhou Z, Liu H, Zhong Z, Ma X, Hu Y, Ren Z, Fu H, Shu G, Qiu X, Peng G. Virulence-related factors and antimicrobial resistance in Proteus mirabilis isolated from domestic and stray dogs. Front Microbiol 2023; 14:1141418. [PMID: 37234544 PMCID: PMC10206225 DOI: 10.3389/fmicb.2023.1141418] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/20/2023] [Indexed: 05/28/2023] Open
Abstract
Introduction Proteus mirabilis is a multi-host pathogen that causes diseases of varying severity in a wide range of mammals, including humans. Proteus mirabilis is resistant to multiple antibiotics and has acquired the ability to produce expanded spectrum of β-lactamases, leading to serious public health problems. However, the available information on P. mirabilis isolated from feces of dogs, is still poorly understood, as is the correlation between its virulence-associated genes (VAGs) and antibiotic resistance genes (ARGs). Method In this study, we isolated 75 strains of P. mirabilis from 241 samples, and investigated the swarming motility, biofilm formation, antimicrobial resistance (AMR), distribution of VAGs and ARGs, as well as the presence of class 1, 2, and 3 integrons in these isolates. Results Our findings suggest a high prevalence of intensive swarming motility and strong biofilm formation ability among P. mirabilis isolates. Isolates were primarily resistant to cefazolin (70.67%) and imipenem (70.67%). These isolates were found to carry ureC, FliL, ireA, zapA, ptA, hpmA, hpmB, pmfA, rsbA, mrpA, and ucaA with varying prevalence levels of 100.00, 100.00, 100.00, 98.67, 98.67, 90.67, 90.67, 90.67, 90.67, 89.33, and 70.67%, respectively. Additionally, the isolates were found to carry aac(6')-Ib, qnrD, floR, blaCTX-M, blaCTX-M-2, blaOXA-1, blaTEM, tetA, tetB and tetM with varying prevalence levels of 38.67, 32.00, 25.33, 17.33, 16.00, 10.67, 5.33, 2.67, 1.33, and 1.33%, respectively. Among 40 MDR strains, 14 (35.00%) were found to carry class 1 integrons, 12 (30.00%) strains carried class 2 integrons, while no class 3 integrons was detected. There was a significant positive correlation between the class 1 integrons and three ARGs: blaTEM, blaCTX-M, and blaCTX-M-2. This study revealed that P. mirabilis strains isolated from domestic dogs exhibited a higher prevalence of MDR, and carried fewer VAGs but more ARGs compared to those isolated from stay dogs. Furthermore, a negative correlation was observed between VAGs and ARGs. Discussion Given the increasing antimicrobial resistance of P. mirabilis, veterinarians should adopt a prudent approach towards antibiotics administration in dogs to mitigate the emergence and dissemination of MDR strains that pose a potential threat to public health.
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Affiliation(s)
- Lijuan Liu
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Zhiyou Dong
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Shengquan Ai
- New Ruipeng Pet Healthcare Group, Chengdu, China
| | - Shanyu Chen
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Mengyao Dong
- State Key Laboratory of Agricultural Microbiology, National Engineering Research Center of Microbial Pesticides, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Qianlan Li
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Ziyao Zhou
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Haifeng Liu
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Zhijun Zhong
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Xiaoping Ma
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Yanchun Hu
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Zhihua Ren
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Hualin Fu
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Gang Shu
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Xianmeng Qiu
- New Ruipeng Pet Healthcare Group, Chengdu, China
| | - Guangneng Peng
- Key Laboratory of Animal Disease and Human Health of Sichuan, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
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Rymer TL, Pillay N. The effects of antibiotics and illness on gut microbial composition in the fawn-footed mosaic-tailed rat (Melomys cervinipes). PLoS One 2023; 18:e0281533. [PMID: 36827295 PMCID: PMC9956021 DOI: 10.1371/journal.pone.0281533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 01/25/2023] [Indexed: 02/25/2023] Open
Abstract
The gut microbiota are critical for maintaining the health and physiological function of individuals. However, illness and treatment with antibiotics can disrupt bacterial community composition, the consequences of which are largely unknown in wild animals. In this study, we described and quantified the changes in bacterial community composition in response to illness and treatment with antibiotics in a native Australian rodent, the fawn-footed mosaic-tailed rat (Melomys cervinipes). We collected faecal samples during an undiagnosed illness outbreak in a captive colony of animals, and again at least one year later, and quantified the microbiome at each time point using 16s ribosomal rRNA gene sequencing. Gut bacterial composition was quantified at different taxonomic levels, up to family. Gut bacterial composition changed between time periods, indicating that illness, treatment with antibiotics, or a combination affects bacterial communities. While some bacterial groups increased in abundance, others decreased, suggesting differential effects and possible co-adapted and synergistic interactions. Our findings provide a greater understanding of the dynamic nature of the gut microbiome of a native Australian rodent species and provides insights into the management and ethical well-being of animals kept under captive conditions.
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Affiliation(s)
- Tasmin L. Rymer
- College of Science and Engineering, James Cook University, Cairns, Queensland, Australia
- Centre for Tropical Environmental and Sustainability Sciences, James Cook University, Queensland, Australia
- School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Neville Pillay
- School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa
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9
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Chen L, Sun M, Xu D, Gao Z, Shi Y, Wang S, Zhou Y. Gut microbiome of captive wolves is more similar to domestic dogs than wild wolves indicated by metagenomics study. Front Microbiol 2022; 13:1027188. [PMID: 36386659 PMCID: PMC9663663 DOI: 10.3389/fmicb.2022.1027188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/17/2022] [Indexed: 11/24/2022] Open
Abstract
Adaptation during the domestication from wolves (Canis lupus) to dogs (Canis lupus familiaris) is a debated ecological topic. Changes in food and environment are major divergences in the domestication of dogs. Gut microbes play an important role in animal adaptation to the food and environmental changes. In this study, shotgun sequencing was performed to compare the species diversity and functional diversity of gut microbes in wild wolves (group CLW, n = 3), captive wolves (group CLC, n = 4), and domestic dogs (group CLF, n = 4). The results found that Bacteroidetes, Firmicutes, Fusobacteria, Proteobacteria and Actinobacteria were the most abundant phyla and Bacteroides, Fusobacterium, Prevotella, Megamonas, Paraprevotella, Faecalibacterium, Clostridium were the most abundant genera in the gut of wolves and dogs. Groups CLW, CLC and CLF have shown significant difference in gut microbial species diversity and functional diversity. Bacteroides, Fusobacterium and Faecalibacterium were most abundant genera in groups CLW, CLC and CLF, respectively. Their abundance varied significantly among groups. Compared to the wild wolves, the intestinal microbiol genes of domestic dogs were significantly enriched in the carbohydrate metabolism pathway of KEGG database. One hundred and seventy-seven enzymes were detected with significantly higher abundance in group CLF than that in group CLW, and 49 enzymes showed extremely significant higher abundance in group CLF than that in group CLW (q < 0.01) base on the function abundance annotated in CAZy database. It is noteworthy that there were also significant differences in the abundance of 140 enzymes between groups CLC and CLW (q < 0.05). Clustering analysis based on both the species and the function abundance of intestinal microbiota all found that groups CLC and CLF clustered into one branch, while samples from group CLW clustered into the other branch. This result suggests that captive wolves are more similar to domestic dogs than wild wolves in both species composition and function composition of intestinal microbiota.
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Field MA, Yadav S, Dudchenko O, Esvaran M, Rosen BD, Skvortsova K, Edwards RJ, Keilwagen J, Cochran BJ, Manandhar B, Bustamante S, Rasmussen JA, Melvin RG, Chernoff B, Omer A, Colaric Z, Chan EKF, Minoche AE, Smith TPL, Gilbert MTP, Bogdanovic O, Zammit RA, Thomas T, Aiden EL, Ballard JWO. The Australian dingo is an early offshoot of modern breed dogs. SCIENCE ADVANCES 2022; 8:eabm5944. [PMID: 35452284 PMCID: PMC9032958 DOI: 10.1126/sciadv.abm5944] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/09/2022] [Indexed: 06/11/2023]
Abstract
Dogs are uniquely associated with human dispersal and bring transformational insight into the domestication process. Dingoes represent an intriguing case within canine evolution being geographically isolated for thousands of years. Here, we present a high-quality de novo assembly of a pure dingo (CanFam_DDS). We identified large chromosomal differences relative to the current dog reference (CanFam3.1) and confirmed no expanded pancreatic amylase gene as found in breed dogs. Phylogenetic analyses using variant pairwise matrices show that the dingo is distinct from five breed dogs with 100% bootstrap support when using Greenland wolf as the outgroup. Functionally, we observe differences in methylation patterns between the dingo and German shepherd dog genomes and differences in serum biochemistry and microbiome makeup. Our results suggest that distinct demographic and environmental conditions have shaped the dingo genome. In contrast, artificial human selection has likely shaped the genomes of domestic breed dogs after divergence from the dingo.
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Affiliation(s)
- Matt A. Field
- Centre for Tropical Bioinformatics and Molecular Biology, College of Public Health, Medical and Veterinary Sciences, James Cook University, Cairns, QLD 4878, Australia
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
| | - Sonu Yadav
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, High St, Kensington, NSW 2052, Australia
| | - Olga Dudchenko
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX 77030, USA
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA
| | - Meera Esvaran
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Benjamin D. Rosen
- Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705, USA
| | - Ksenia Skvortsova
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
| | - Richard J. Edwards
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, High St, Kensington, NSW 2052, Australia
| | - Jens Keilwagen
- Julius Kühn-Institut, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany
| | - Blake J. Cochran
- School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Bikash Manandhar
- School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Sonia Bustamante
- Bioanalytical Mass Spectrometry Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW 2052, Australia
| | - Jacob Agerbo Rasmussen
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
- Center for Evolutionary Hologenomics, Faculty of Health and Medical Sciences, The GLOBE Institute University of Copenhagen, Copenhagen, Denmark
| | - Richard G. Melvin
- Department of Biomedical Sciences, University of Minnesota Medical School, 1035 University Drive, Duluth, MN 55812, USA
| | - Barry Chernoff
- College of the Environment, Departments of Biology, and Earth and Environmental Sciences, Wesleyan University, Middletown, CT 06459, USA
| | - Arina Omer
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zane Colaric
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX 77030, USA
| | - Eva K. F. Chan
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
- Statewide Genomics, New South Wales Health Pathology, 45 Watt St, Newcastle, NSW 2300, Australia
| | - Andre E. Minoche
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
| | - Timothy P. L. Smith
- U.S. Meat Animal Research Center, Agricultural Research Service, USDA, Rd 313, Clay Center, NE 68933, USA
| | - M. Thomas P. Gilbert
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen 2100, Denmark
- University Museum, NTNU, Trondheim, Norway
| | - Ozren Bogdanovic
- Garvan Institute of Medical Research, Victoria Street, Darlinghurst, NSW 2010, Australia
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, High St, Kensington, NSW 2052, Australia
| | - Robert A. Zammit
- Vineyard Veterinary Hospital, 703 Windsor Rd, Vineyard, NSW 2765, Australia
| | - Torsten Thomas
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Erez L. Aiden
- The Center for Genome Architecture, Baylor College of Medicine, Houston, TX 77030, USA
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77005, USA
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009, Australia
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Pudong 201210, China
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - J. William O. Ballard
- Department of Environment and Genetics, SABE, La Trobe University, Melbourne, VIC 3086, Australia
- School of Biosciences, University of Melbourne, Royal Parade, Parkville, VIC 3052, Australia
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11
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Rampelli S, Turroni S, Debandi F, Alberdi A, Schnorr SL, Hofman CA, Taddia A, Helg R, Biagi E, Brigidi P, D'Amico F, Cattani M, Candela M. The gut microbiome buffers dietary adaptation in Bronze Age domesticated dogs. iScience 2021; 24:102816. [PMID: 34377966 PMCID: PMC8327155 DOI: 10.1016/j.isci.2021.102816] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 06/14/2021] [Accepted: 07/01/2021] [Indexed: 02/07/2023] Open
Abstract
In an attempt to explore the role of the gut microbiome during recent canine evolutionary history, we sequenced the metagenome of 13 canine coprolites dated ca. 3,600–3,450 years ago from the Bronze Age archaeological site of Solarolo (Italy), which housed a complex farming community. The microbiome structure of Solarolo dogs revealed continuity with that of modern dogs, but it also shared some features with the wild wolf microbiome, as a kind of transitional state between them. The dietary niche, as also inferred from the microbiome composition, was omnivorous, with evidence of consumption of starchy agricultural foods. Of interest, the Solarolo dog microbiome was particularly enriched in sequences encoding alpha-amylases and complemented a low copy number of the host amylase gene. These findings suggest that Neolithic dogs could have responded to the transition to a starch-rich diet by expanding microbial functionalities devoted to starch catabolism, thus compensating for delayed host response. Ancient DNA of Bronze Age canine coprolites from Solarolo was sequenced Solarolo dogs share gut microbiome features with modern wolves and dogs The gut microbiome of Solarolo dogs shows high number of reads for alpha-amylase Neolithic canine gut microbiome complemented delay in host genome adaptation
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Affiliation(s)
- Simone Rampelli
- Unit of Microbiome Science and Biotechnology, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Silvia Turroni
- Unit of Microbiome Science and Biotechnology, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Florencia Debandi
- Department of History and Cultures, University of Bologna, Bologna, Italy
| | - Antton Alberdi
- Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Stephanie L Schnorr
- Konrad Lorenz Institute for Evolution and Cognition Research, Klosterneuburg, Austria.,Department of Anthropology, University of Nevada, Las Vegas, NV, USA
| | - Courtney A Hofman
- Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, Norman, OK, USA.,Department of Anthropology, University of Oklahoma, Norman, OK, USA
| | - Alberto Taddia
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Riccardo Helg
- Department of History and Cultures, University of Bologna, Bologna, Italy
| | - Elena Biagi
- Unit of Microbiome Science and Biotechnology, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Patrizia Brigidi
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Federica D'Amico
- Unit of Microbiome Science and Biotechnology, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.,Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Maurizio Cattani
- Department of History and Cultures, University of Bologna, Bologna, Italy
| | - Marco Candela
- Unit of Microbiome Science and Biotechnology, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
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