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Wang J, Shen C, Sun J, Cheng L, Zhao G, Li MM. Metagenomic analysis reveals a dynamic rumen microbiome with diversified adaptive functions in response to dietary protein restriction and re-alimentation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:174618. [PMID: 38986687 DOI: 10.1016/j.scitotenv.2024.174618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 07/06/2024] [Accepted: 07/06/2024] [Indexed: 07/12/2024]
Abstract
Understanding the dynamics of the rumen microbiome is crucial for optimizing ruminal fermentation to improve feed efficiency and addressing concerns regarding antibiotic resistance in the livestock production industry. This study aimed to investigate the adaptive effects of microbiome and the properties of carbohydrate-active enzymes (CAZy) and antibiotic resistance genes (ARGs) in response to dietary protein shifts. Twelve Charolais bulls were randomly divided into two groups based on initial body weight: 1) Treatment (REC), where the animals received a 7 % CP diet in a 4-week restriction period, followed by a 13 % CP diet in a 2-week re-alimentation period; 2) Control (CON), where the animals were fed the 13 % CP diet both in the restriction period and the re-alimentation period. Protein restriction decreased the concentrations of acetate, propionate, isovalerate, glutamine, glutamate, and isoleucine (P < 0.05), while protein re-alimentation increased the concentrations of arginine, methionine sulfoxide, lysine, and glutamate (P < 0.05). Protein restriction decreased the relative abundances of Bacteroidota but increased Proteobacteria, with no difference observed after re-alimentation. Protein restriction decreased relative abundances of the genera Bacteroides, Prevotella, and Bifidobacterium. Following protein recovery, Escherichia was enriched in CON, while Pusillibacter was enriched in REC, indicating that distinct microbial adaptations to protein shifts. Protein restriction increased GH97 while reducing GH94 and GT35 compared to CON. Protein restriction decreased abundances of KO genes involved in VFA production pathways, while they were recovered in the re-alimentation period. Protein restriction reduced tet(W/32/O) abundances but increased those of tet(X), nimJ, and rpoB2. Following protein re-alimentation, there was a decrease in ErmQ and tet(W/N/W), and an increase in Mef(En2) compared to CON, highlighting the impact of dietary protein on the distribution of antibiotic-resistant bacteria. Overall, comprehensive metagenomic analysis reveals the dynamic adaptability of the microbiome in response to dietary shifts, indicating its capacity to modulate carbohydrate metabolism and ARGs in response to protein availability.
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Affiliation(s)
- Jiaqi Wang
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Chun Shen
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Jian Sun
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Long Cheng
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Guangyong Zhao
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Meng M Li
- State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China.
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Liu Y, Lai J, Sun X, Huang L, Sheng Y, Zhang Q, Zeng H, Zhang Y, Ye P, Wei S. Comparative Metagenomic Analysis Reveals Rhizosphere Microbiome Assembly and Functional Adaptation Changes Caused by Clubroot Disease in Chinese Cabbage. Microorganisms 2024; 12:1370. [PMID: 39065138 PMCID: PMC11278620 DOI: 10.3390/microorganisms12071370] [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: 05/24/2024] [Revised: 06/17/2024] [Accepted: 06/24/2024] [Indexed: 07/28/2024] Open
Abstract
Clubroot is a major disease and severe threat to Chinese cabbage, and it is caused by the pathogen Plasmodiophora brassicae Woron. This pathogen is an obligate biotrophic protist and can persist in soil in the form of resting spores for more than 18 years, which can easily be transmitted through a number of agents, resulting in significant economic losses to global Chinese cabbage production. Rhizosphere microbiomes play fundamental roles in the occurrence and development of plant diseases. The changes in the rhizosphere microorganisms could reveal the severity of plant diseases and provide the basis for their control. Here, we studied the rhizosphere microbiota after clubroot disease infections with different severities by employing metagenomic sequencing, with the aim of exploring the relationships between plant health, rhizosphere microbial communities, and soil environments; then, we identified potential biomarker microbes of clubroot disease. The results showed that clubroot disease severity significantly affected the microbial community composition and structure of the rhizosphere soil, and microbial functions were also dramatically influenced by it. Four different microbes that had great potential in the biocontrol of clubroot disease were identified from the obtained results; they were the genera Pseudomonas, Gemmatimonas, Sphingomonas, and Nocardioides. Soil pH, organic matter contents, total nitrogen, and cation exchange capacity were the major environmental factors modulating plant microbiome assembly. In addition, microbial environmental information processing was extremely strengthened when the plant was subjected to pathogen invasion, but weakened when the disease became serious. In particular, oxidative phosphorylation and glycerol-1-phosphatase might have critical functions in enhancing Chinese cabbage's resistance to clubroot disease. This work revealed the interactions and potential mechanisms among Chinese cabbage, soil environmental factors, clubroot disease, and microbial community structure and functions, which may provide a novel foundation for further studies using microbiological or metabolic methods to develop disease-resistant cultivation technologies.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Pengsheng Ye
- Industrial Crops Research Institute, Sichuan Academy of Agricultural Sciences/The Key Laboratory of Vegetable Germplasm and Variety Innovation in Sichuan Province, Chengdu 610300, China; (Y.L.); (J.L.); (X.S.); (L.H.); (Y.S.); (Q.Z.); (H.Z.); (Y.Z.)
| | - Shugu Wei
- Industrial Crops Research Institute, Sichuan Academy of Agricultural Sciences/The Key Laboratory of Vegetable Germplasm and Variety Innovation in Sichuan Province, Chengdu 610300, China; (Y.L.); (J.L.); (X.S.); (L.H.); (Y.S.); (Q.Z.); (H.Z.); (Y.Z.)
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Yao T, Ye L, Wang S, Lu J, Li H, Yu G. Effects of cadmium exposure on gut microbiota and antibiotic resistance genes in Haliotis diversicolor abalone. CHEMOSPHERE 2024; 352:141507. [PMID: 38387663 DOI: 10.1016/j.chemosphere.2024.141507] [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: 05/15/2023] [Revised: 12/03/2023] [Accepted: 02/19/2024] [Indexed: 02/24/2024]
Abstract
Heavy metals in soil, water, and industrial production can affect the antibiotic resistance of bacteria. Antibiotic resistance in gut microbiota has been extensively researched. The effects of cadmium (Cd) was investigated on the gut microbiota and antibiotic resistance genes (ARGs) of Haliotis diversicolor, a commercially important abalone species. By exposing H. diversicolor to four concentrations of Cd (0 μg L-1 (control), 6.5 μg L-1 (low), 42.25 μg L-1 (medium), and 274.63 μg L-1 (high)) for 30 and 60 days, 16 types of ARG (aadA-01, aadA-02, cfr, dfrA1, ermB, floR, folA, mecA, sul2, tetB-01, tetC-01, tetD-01, tetG-01, tetM-02, tetQ, vanC-01), and 1213 genus and 27 phylum microbiomes were detected. ARGs can be resistant to aminoglycoside, beta-lactamase, macrolide-lincosamide-streptogramin B, multidrug, florfenicol, macrolide, sulfonamides, tetracyclines, and vancomycin. Cadmium exposure significantly alters the abundance of tetC-01, tetB-01, tetQ, sul2, and aadA-01. About 5% (61) of genus-level microorganisms were significantly affected by Cd exposure. Microbiota alpha and beta diversities in the 60-day 42.25 μg L-1 Cd treatment differed significantly from those in other treatments. In addition, 26 pathogens were detected, and two pathogens (Vibrio and Legionella) were significantly affected by Cd exposure. Significant correlations between pathogens and ARGs increased with increased Cd concentration after 60 days of Cd exposure. Cadmium exposure may cause gut microbiota disturbance in H. diversicolor and increase the likelihood of ARG transfer to pathogens, increasing potential ecological and economic risks.
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Affiliation(s)
- Tuo Yao
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China; Engineering Research Center of Tropical and Subtropical Aquatic Ecological Engineering, Ministry of Education, Research Center of Hydrobiology, Jinan University, Guangzhou, China
| | - Lingtong Ye
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China.
| | - Sijie Wang
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Jie Lu
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
| | - Huan Li
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Gang Yu
- Key Laboratory of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, China
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Zhang T, Mu Y, Gao Y, Tang Y, Mao S, Liu J. Fecal microbial gene transfer contributes to the high-grain diet-induced augmentation of aminoglycoside resistance in dairy cattle. mSystems 2024; 9:e0081023. [PMID: 38085089 PMCID: PMC10805029 DOI: 10.1128/msystems.00810-23] [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: 08/02/2023] [Accepted: 10/31/2023] [Indexed: 01/24/2024] Open
Abstract
A high-grain (HG) diet can rapidly lower the rumen pH and thus modify the gastrointestinal microbiome in dairy cattle. Although the prevalence of antibiotic resistance is strongly linked with the gut microbiome, the influences of HG diet on animals' gut resistome remain largely unexplored. Here, we examined the impact and mechanism of an HG diet on the fecal resistome in dairy cattle by metagenomically characterizing the gut microbiome. Eight lactating Holstein cattle were randomly allocated into two groups and fed either a conventional (CON) or HG diet for 3 weeks. The fecal microbiome and resistome were significantly altered in dairy cattle from HG, demonstrating an adaptive response that peaks at day 14 after the dietary transition. Importantly, we determined that feeding an HG diet specifically elevated the prevalence of resistance to aminoglycosides (0.11 vs 0.24 RPKG, P < 0.05). This diet-induced resistance increase is interrelated with the disproportional propagation of microbes in Lachnospiraceae, indicating a potential reservoir of aminoglycosides resistance. We further showed that the prevalence of acquired resistance genes was also modified by introducing a different diet, likely due to the augmented frequency of lateral gene transfer (LGT) in microbes (CON vs HG: 254 vs 287 taxa) such as Lachnospiraceae. Consequently, we present that diet transition is associated with fecal resistome modification in dairy cattle and an HG diet specifically enriched aminoglycosides resistance that is likely by stimulating microbial LGT.IMPORTANCEThe increasing prevalence of antimicrobial resistance is one of the most severe threats to public health, and developing novel mitigation strategies deserves our top priority. High-grain (HG) diet is commonly applied in dairy cattle to enhance animals' performance to produce more high-quality milk. We present that despite such benefits, the application of an HG diet is correlated with an elevated prevalence of resistance to aminoglycosides, and this is a combined effect of the expansion of antibiotic-resistant bacteria and increased frequency of lateral gene transfer in the fecal microbiome of dairy cattle. Our results provided new knowledge in a typically ignored area by showing an unexpected enrichment of antibiotic resistance under an HG diet. Importantly, our findings laid the foundation for designing potential dietary intervention strategies to lower the prevalence of antibiotic resistance in dairy production.
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Affiliation(s)
- Tao Zhang
- Ruminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, National Center for International Research on Animal Gut Nutrition, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Yingyu Mu
- Ruminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, National Center for International Research on Animal Gut Nutrition, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Yunlong Gao
- Ruminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, National Center for International Research on Animal Gut Nutrition, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Yijun Tang
- Ruminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, National Center for International Research on Animal Gut Nutrition, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Shengyong Mao
- Ruminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, National Center for International Research on Animal Gut Nutrition, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Jinxin Liu
- Ruminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, National Center for International Research on Animal Gut Nutrition, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
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Chai J, Zhuang Y, Cui K, Bi Y, Zhang N. Metagenomics reveals the temporal dynamics of the rumen resistome and microbiome in goat kids. MICROBIOME 2024; 12:14. [PMID: 38254181 PMCID: PMC10801991 DOI: 10.1186/s40168-023-01733-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 11/28/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND The gut microbiome of domestic animals carries antibiotic resistance genes (ARGs) which can be transmitted to the environment and humans, resulting in challenges of antibiotic resistance. Although it has been reported that the rumen microbiome of ruminants may be a reservoir of ARGs, the factors affecting the temporal dynamics of the rumen resistome are still unclear. Here, we collected rumen content samples of goats at 1, 7, 14, 28, 42, 56, 70, and 84 days of age, analyzed their microbiome and resistome profiles using metagenomics, and assessed the temporal dynamics of the rumen resistome in goats at the early stage of life under a conventional feeding system. RESULTS In our results, the rumen resistome of goat kids contained ARGs to 41 classes, and the richness of ARGs decreased with age. Four antibiotic compound types of ARGs, including drugs, biocides, metals, and multi-compounds, were found during milk feeding, while only drug types of ARGs were observed after supplementation with starter feed. The specific ARGs for each age and their temporal dynamics were characterized, and the network inference model revealed that the interactions among ARGs were related to age. A strong correlation between the profiles of rumen resistome and microbiome was found using Procrustes analysis. Ruminal Escherichia coli within Proteobacteria phylum was the main carrier of ARGs in goats consuming colostrum, while Prevotella ruminicola and Fibrobacter succinogenes associated with cellulose degradation were the carriers of ARGs after starter supplementation. Milk consumption was likely a source of rumen ARGs, and the changes in the rumen resistome with age were correlated with the microbiome modulation by starter supplementation. CONCLUSIONS Our data revealed that the temporal dynamics of the rumen resistome are associated with the microbiome, and the reservoir of ARGs in the rumen during early life is likely related to age and diet. It may be a feasible strategy to reduce the rumen and its downstream dissemination of ARGs in ruminants through early-life dietary intervention. Video Abstract.
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Affiliation(s)
- Jianmin Chai
- Institute of Feed Research of Chinese Academy of Agricultural Sciences, Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, China
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan, 528225, China
- Department of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR, 72701, USA
| | - Yimin Zhuang
- Institute of Feed Research of Chinese Academy of Agricultural Sciences, Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, China
| | - Kai Cui
- Institute of Feed Research of Chinese Academy of Agricultural Sciences, Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, China
| | - Yanliang Bi
- Institute of Feed Research of Chinese Academy of Agricultural Sciences, Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, China.
| | - Naifeng Zhang
- Institute of Feed Research of Chinese Academy of Agricultural Sciences, Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Beijing, 100081, China.
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Jiang A, Liu Z, Lv X, Zhou C, Ran T, Tan Z. Prospects and Challenges of Bacteriophage Substitution for Antibiotics in Livestock and Poultry Production. BIOLOGY 2024; 13:28. [PMID: 38248459 PMCID: PMC10812986 DOI: 10.3390/biology13010028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/30/2023] [Accepted: 12/31/2023] [Indexed: 01/23/2024]
Abstract
The overuse and misuse of antibiotics in the livestock and poultry industry has led to the development of multi-drug resistance in animal pathogens, and antibiotic resistance genes (ARGs) in bacteria transfer from animals to humans through the consumption of animal products, posing a serious threat to human health. Therefore, the use of antibiotics in livestock production has been strictly controlled. As a result, bacteriophages have attracted increasing research interest as antibiotic alternatives, since they are natural invaders of bacteria. Numerous studies have shown that dietary bacteriophage supplementation could regulate intestinal microbial composition, enhance mucosal immunity and the physical barrier function of the intestinal tract, and play an important role in maintaining intestinal microecological stability and normal body development of animals. The effect of bacteriophages used in animals is influenced by factors such as species, dose, and duration. However, as a category of mobile genetic elements, the high frequency of gene exchange of bacteriophages also poses risks of transmitting ARGs among bacteria. Hence, we summarized the mechanism and efficacy of bacteriophage therapy, and highlighted the feasibility and challenges of bacteriophage utilization in farm animal production, aiming to provide a reference for the safe and effective application of bacteriophages as an antibiotic alternative in livestock and poultry.
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Affiliation(s)
- Aoyu Jiang
- CAS Key Laboratory for Agri-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Key Laboratory of Animal Nutrition Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (A.J.); (Z.L.); (Z.T.)
- University of Chinese Academy of Sciences, Beijing 101408, China
| | - Zixin Liu
- CAS Key Laboratory for Agri-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Key Laboratory of Animal Nutrition Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (A.J.); (Z.L.); (Z.T.)
- University of Chinese Academy of Sciences, Beijing 101408, China
| | - Xiaokang Lv
- College of Animal Science, Anhui Science and Technology University, Bengbu 233100, China;
| | - Chuanshe Zhou
- CAS Key Laboratory for Agri-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Key Laboratory of Animal Nutrition Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (A.J.); (Z.L.); (Z.T.)
- University of Chinese Academy of Sciences, Beijing 101408, China
| | - Tao Ran
- College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730000, China
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, Ministry of Agriculture and Rural Affairs, Lanzhou University, Lanzhou 730000, China
| | - Zhiliang Tan
- CAS Key Laboratory for Agri-Ecological Processes in Subtropical Region, National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Hunan Provincial Key Laboratory of Animal Nutrition Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; (A.J.); (Z.L.); (Z.T.)
- University of Chinese Academy of Sciences, Beijing 101408, China
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Zhang Y, Kitazumi A, Liao YT, de Los Reyes BG, Wu VCH. Metagenomic investigation reveals bacteriophage-mediated horizontal transfer of antibiotic resistance genes in microbial communities of an organic agricultural ecosystem. Microbiol Spectr 2023; 11:e0022623. [PMID: 37754684 PMCID: PMC10581182 DOI: 10.1128/spectrum.00226-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 07/10/2023] [Indexed: 09/28/2023] Open
Abstract
IMPORTANCE Antibiotic resistance has become a serious health concern worldwide. The potential impact of viruses, bacteriophages in particular, on spreading antibiotic resistance genes is still controversial due to the complexity of bacteriophage-bacterial interactions within diverse environments. In this study, we determined the microbiome profiles and the potential antibiotic resistance gene (ARG) transfer between bacterial and viral populations in different agricultural samples using a high-resolution analysis of the metagenomes. The results of this study provide compelling genetic evidence for ARG transfer through bacteriophage-bacteria interactions, revealing the inherent risks associated with bacteriophage-mediated ARG transfer across the agricultural microbiome.
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Affiliation(s)
- Yujie Zhang
- U.S. Department of Agriculture, Produce Safety and Microbiology Research Unit, Agricultural Research Service, Western Regional Research Center , Albany, California, USA
| | - Ai Kitazumi
- Department of Plant and Soil Science, Texas Tech University , Lubbock, Texas, USA
| | - Yen-Te Liao
- U.S. Department of Agriculture, Produce Safety and Microbiology Research Unit, Agricultural Research Service, Western Regional Research Center , Albany, California, USA
| | | | - Vivian C H Wu
- U.S. Department of Agriculture, Produce Safety and Microbiology Research Unit, Agricultural Research Service, Western Regional Research Center , Albany, California, USA
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Yu S, Li L, Zhao H, Liu M, Jiang L, Zhao Y. Citrus flavonoid extracts alter the profiling of rumen antibiotic resistance genes and virulence factors of dairy cows. Front Microbiol 2023; 14:1201262. [PMID: 37362928 PMCID: PMC10289158 DOI: 10.3389/fmicb.2023.1201262] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 05/22/2023] [Indexed: 06/28/2023] Open
Abstract
Citrus flavonoid extracts (CFE) have the potential to reduce rumen inflammation, improve ruminal function, and enhance production performance in ruminants. Our previous studies have investigated the effects of CFE on the structure and function of rumen microbiota in dairy cows. However, it remains unclear whether CFE affects the prevalence of antibiotic resistance genes (ARG) and virulence factors genes (VFG) in the rumen. Therefore, metagenomics was used to identify the rumen ARG and VFG in lactating dairy cows fed with CFE diets. The results showed that CFE significantly reduced the levels of Multidrug and Antiphagocytosis in the rumen (p < 0.05) and increased the levels of Tetracycline, Iron uptake system, and Magnesium uptake system (p < 0.05). Furthermore, the changes were found to have associations with the phylum Lentisphaerae. It was concluded that CFE could be utilized as a natural plant product to regulate virulence factors and antibiotic resistance of rumen microbiota, thereby improving rumen homeostasis and the health of dairy cows.
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Affiliation(s)
- Shiqiang Yu
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Liuxue Li
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Huiying Zhao
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Ming Liu
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Linshu Jiang
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China
| | - Yuchao Zhao
- Beijing Key Laboratory of Dairy Cow Nutrition, College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China
- Beijing Beinong Enterprise Management Co., Ltd., Beijing, China
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9
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Cluster analysis and geospatial mapping of antibiotic resistant Escherichia coli O157 in southwest Nigerian communities. One Health 2022; 15:100447. [DOI: 10.1016/j.onehlt.2022.100447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 10/13/2022] [Accepted: 10/13/2022] [Indexed: 11/08/2022] Open
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10
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Gut Microbiome Studies in Livestock: Achievements, Challenges, and Perspectives. Animals (Basel) 2022; 12:ani12233375. [PMID: 36496896 PMCID: PMC9736591 DOI: 10.3390/ani12233375] [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: 09/13/2022] [Revised: 11/16/2022] [Accepted: 11/28/2022] [Indexed: 12/03/2022] Open
Abstract
The variety and makeup of the gut microbiome are frequently regarded as the primary determinants of health and production performances in domestic animals. High-throughput DNA/RNA sequencing techniques (NGS) have recently gained popularity and permitted previously unheard-of advancements in the study of gut microbiota, particularly for determining the taxonomic composition of such complex communities. Here, we summarize the existing body of knowledge on livestock gut microbiome, discuss the state-of-the-art in sequencing techniques, and offer predictions for next research. We found that the enormous volumes of available data are biased toward a small number of globally distributed and carefully chosen varieties, while local breeds (or populations) are frequently overlooked despite their demonstrated resistance to harsh environmental circumstances. Furthermore, the bulk of this research has mostly focused on bacteria, whereas other microbial components such as protists, fungi, and viruses have received far less attention. The majority of these data were gathered utilizing traditional metabarcoding techniques that taxonomically identify the gut microbiota by analyzing small portions of their genome (less than 1000 base pairs). However, to extend the coverage of microbial genomes for a more precise and thorough characterization of microbial communities, a variety of increasingly practical and economical shotgun techniques are currently available.
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Xu M, Su S, Zhang Z, Jiang S, Zhang J, Xu Y, Hu X. Two sides of the same coin: Meta-analysis uncovered the potential benefits and risks of traditional fermented foods at a large geographical scale. Front Microbiol 2022; 13:1045096. [PMID: 36406420 PMCID: PMC9668881 DOI: 10.3389/fmicb.2022.1045096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
Traditional fermented foods, which are well-known microbial resources, are also bright national cultural inheritances. Recently, traditional fermented foods have received great attention due to their potential probiotic properties. Based on shotgun metagenomic sequencing data, we analyzed the microbial diversity, taxonomic composition, metabolic pathways, and the potential benefits and risks of fermented foods through a meta-analysis including 179 selected samples, as well as our own sequencing data collected from Hainan Province, China. As expected, raw materials, regions (differentiated by climatic zones), and substrates were the main driving forces for the microbial diversity and taxonomic composition of traditional fermented foods. Interestingly, a higher content of beneficial bacteria but a low biomass of opportunistic pathogens and antibiotic resistance genes were observed in the fermented dairy products, indicating that fermented dairy products are the most beneficial and reliable fermented foods. In contrast, despite the high microbial diversity found in the fermented soy products, their consumption risk was still high due to the enrichment of opportunistic pathogens and transferable antibiotic resistance genes. Overall, we provided the most comprehensive assessment of the microbiome of fermented food to date and generated a new view of its potential benefits and risks related to human health.
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Affiliation(s)
- Meng Xu
- School of Food Science and Engineering, Hainan University, Haikou, China
- School of Public Administration, Hainan University, Haikou, China
| | - Shunyong Su
- School of Food Science and Engineering, Hainan University, Haikou, China
- School of Public Administration, Hainan University, Haikou, China
| | - Zeng Zhang
- School of Food Science and Engineering, Hainan University, Haikou, China
- School of Public Administration, Hainan University, Haikou, China
| | - Shuaiming Jiang
- School of Food Science and Engineering, Hainan University, Haikou, China
- School of Public Administration, Hainan University, Haikou, China
| | - Jiachao Zhang
- School of Food Science and Engineering, Hainan University, Haikou, China
- School of Public Administration, Hainan University, Haikou, China
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Haikou, China
| | - Yanqing Xu
- School of Food Science and Engineering, Hainan University, Haikou, China
- School of Public Administration, Hainan University, Haikou, China
- *Correspondence: Yanqing Xu,
| | - Xiaosong Hu
- School of Food Science and Engineering, Hainan University, Haikou, China
- School of Public Administration, Hainan University, Haikou, China
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
- Xiaosong Hu,
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12
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Koutsoumanis K, Allende A, Álvarez‐Ordóñez A, Bolton D, Bover‐Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Argüello‐Rodríguez H, Dohmen W, Magistrali CF, Padalino B, Tenhagen B, Threlfall J, García‐Fierro R, Guerra B, Liébana E, Stella P, Peixe L. Transmission of antimicrobial resistance (AMR) during animal transport. EFSA J 2022; 20:e07586. [PMID: 36304831 PMCID: PMC9593722 DOI: 10.2903/j.efsa.2022.7586] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
The transmission of antimicrobial resistance (AMR) between food-producing animals (poultry, cattle and pigs) during short journeys (< 8 h) and long journeys (> 8 h) directed to other farms or to the slaughterhouse lairage (directly or with intermediate stops at assembly centres or control posts, mainly transported by road) was assessed. Among the identified risk factors contributing to the probability of transmission of antimicrobial-resistant bacteria (ARB) and antimicrobial resistance genes (ARGs), the ones considered more important are the resistance status (presence of ARB/ARGs) of the animals pre-transport, increased faecal shedding, hygiene of the areas and vehicles, exposure to other animals carrying and/or shedding ARB/ARGs (especially between animals of different AMR loads and/or ARB/ARG types), exposure to contaminated lairage areas and duration of transport. There are nevertheless no data whereby differences between journeys shorter or longer than 8 h can be assessed. Strategies that would reduce the probability of AMR transmission, for all animal categories include minimising the duration of transport, proper cleaning and disinfection, appropriate transport planning, organising the transport in relation to AMR criteria (transport logistics), improving animal health and welfare and/or biosecurity immediately prior to and during transport, ensuring the thermal comfort of the animals and animal segregation. Most of the aforementioned measures have similar validity if applied at lairage, assembly centres and control posts. Data gaps relating to the risk factors and the effectiveness of mitigation measures have been identified, with consequent research needs in both the short and longer term listed. Quantification of the impact of animal transportation compared to the contribution of other stages of the food-production chain, and the interplay of duration with all risk factors on the transmission of ARB/ARGs during transport and journey breaks, were identified as urgent research needs.
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13
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Ma T, Zaheer R, McAllister TA, Guo W, Li F, Tu Y, Diao Q, Guan LL. Expressions of resistome is linked to the key functions and stability of active rumen microbiome. Anim Microbiome 2022; 4:38. [PMID: 35659381 PMCID: PMC9167530 DOI: 10.1186/s42523-022-00189-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 05/23/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The resistome describes the array of antibiotic resistant genes (ARGs) present within a microbial community. Recent research has documented the resistome in the rumen of ruminants and revealed that the type and abundance of ARGs could be affected by diet and/or antibiotic treatment. However, most of these studies only assessed ARGs using metagenomics, and expression of the resistome and its biological function within the microbiome remains largely unexplored. RESULTS We characterized the pools of ARGs (resistome) and their activities in the rumen of 48 beef cattle belonging to three breeds (Angus, Charolais, Kinsella composite hybrid), using shotgun metagenomics and metatranscriptomics. Sixty (including 20 plasmid-associated) ARGs were expressed which accounted for about 30% of the total number of ARGs (187) identified in metagenomic datasets, with tetW and mefA exhibiting the highest level of expression. In addition, the bacterial hosts of 17 expressed ARGs were identified. The active resistome was less diverse in Kinsella composite hybrid than Angus, however, expression of ARGs did not differ among breeds. Although not associated with feed efficiency, the total abundance of expressed ARGs was positively correlated with metabolic pathways and 'attenuation values' (a measurement of stability) of the active rumen microbiome, suggesting that ARGs expression influences the stability and functionality of the rumen microbiome. Moreover, Ruminococcus spp., Prevotella ruminicola, Muribaculaceae spp. and Collinsella aerofaciens were all identified as hosts of expressed ARGs, possibly promoting the dominance of these carbohydrate degraders within the rumen microbiome. CONCLUSIONS Findings from this study provide new insight into the active rumen resistome in vivo, which may inform strategies to limit the spread of ubiquitously found ARGs from the rumen to the broader environment without negatively impacting the key functional outcomes of the rumen microbiome.
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Affiliation(s)
- Tao Ma
- Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research of Chinese Academy of Agricultural Sciences, Beijing, 100081, China.,4-16F, Agriculture/Forestry Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Rahat Zaheer
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, T1J 4P4, Canada
| | - Tim A McAllister
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, AB, T1J 4P4, Canada
| | - Wei Guo
- 4-16F, Agriculture/Forestry Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada.,State Key Laboratory of Grassland Agro-Ecosystems, International Centre of Tibetan Plateau Ecosystem Management, School of Life Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Fuyong Li
- 4-16F, Agriculture/Forestry Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Yan Tu
- Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research of Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Qiyu Diao
- Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Institute of Feed Research of Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Le Luo Guan
- 4-16F, Agriculture/Forestry Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada.
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14
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Qin Y, Guo Z, Huang H, Zhu L, Dong S, Zhu YG, Cui L, Huang Q. Widespread of Potential Pathogen-Derived Extracellular Vesicles Carrying Antibiotic Resistance Genes in Indoor Dust. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:5653-5663. [PMID: 35438977 DOI: 10.1021/acs.est.1c08654] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Extracellular vesicles (EVs) are newly recognized as important vectors for carrying and spreading antibiotic resistance genes (ARGs). However, the ARGs harbored by EVs in ambient environments and the transfer potential are still unclear. In this study, the prevalence of ARGs and mobile genetic elements (MGEs) in EVs and their microbial origins were studied in indoor dust from restaurants, kindergarten, dormitories, and vehicles. The amount of EVs ranged from 3.40 × 107 to 1.09 × 1011 particles/g dust. The length of EV-associated DNA fragments was between 21 bp and 9.7 kb. Metagenomic sequencing showed that a total of 241 antibiotic ARG subtypes encoding resistance to 16 common classes were detected in the EVs from all four fields. Multidrug, quinolone, and macrolide resistance genes were the dominant types. 15 ARG subtypes were exclusively carried and even enriched in EVs compared to the indoor microbiome. Moreover, several ARGs showed co-occurrence with MGEs. The EVs showed distinct taxonomic composition with their original dust microbiota. 30.23% of EV-associated DNA was predicted to originate from potential pathogens. Our results indicated the widespread of EVs carrying ARGs and virulence genes in daily life indoor dust, provided new insights into the status of extracellular DNA, and raised risk concerns on their gene transfer potential.
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Affiliation(s)
- Yifei Qin
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zihan Guo
- Institute of Life Science and Green Development, Hebei University, Baoding 071002, China
| | - Haining Huang
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Liting Zhu
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Sijun Dong
- Institute of Life Science and Green Development, Hebei University, Baoding 071002, China
| | - Yong-Guan Zhu
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Li Cui
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Qiansheng Huang
- Xiamen Key Laboratory of Indoor Air and Health, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- National Basic Science Data Center, Beijing 100190, China
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15
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Zhang Z, Han Z, Wu Y, Jiang S, Ma C, Zhang Y, Zhang J. Metagenomics assembled genome scale analysis revealed the microbial diversity and genetic polymorphism of Lactiplantibacillus plantarum in traditional fermented foods of Hainan, China. Food Res Int 2021; 150:110785. [PMID: 34865800 DOI: 10.1016/j.foodres.2021.110785] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/01/2021] [Accepted: 10/24/2021] [Indexed: 11/30/2022]
Abstract
Exploring the microbiome in fermented foods and their effects on food quality and sustainability is beneficial to provide data support for understanding how they affects human physiology. Here, metagenomic sequencing and metagenomic assembled genomes (MAGs) were applied to appraise the microbial diversity of fermented Yucha (FYC) and fermented vegetables (FVE). The antibiotic resistance genes (ARGs) enrichment and genetic polymorphism of Lactiplantibacillus plantarum in fermented foods of different regions were compared. The results showed that Lactiplantibacillus plantarum was the dominant species in FYC, while Lactiplantibacillus fermentum in FVE occupied the dominant position. From 32 high-quality MAGs, the central differential Lactic acid bacteria were higher in FVE. By comparing the Lactiplantibacillus plantarum MAGs in Hainan and Other regions, we found that the total Single Nucleotide Polymorphisms of Lactiplantibacillus plantarum in Hainan were significantly higher than other areas. Six non-synonymous mutations were included in the primary differential mutation, especially TrkA family potassium uptake protein and MerR family transcriptional regulator, which may be related to the hypersaline environment and highest ARGs enrichment in Hainan. This research provides valuable insight into our understanding of the microbiome of fermented food. Meanwhile, the analysis of Lactiplantibacillus plantarum genetic polymorphism based on MAGs helps us understand this strain's evolutionary history.
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Affiliation(s)
- Zeng Zhang
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Zhe Han
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Yuqing Wu
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Shuaiming Jiang
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Chenchen Ma
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Yanjun Zhang
- Chinese Academy of Tropical Agricultural Science, Spice and Beverages Research Institute, Wanning, Hainan 571533, China.
| | - Jiachao Zhang
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China.
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16
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Ma T, McAllister TA, Guan LL. A review of the resistome within the digestive tract of livestock. J Anim Sci Biotechnol 2021; 12:121. [PMID: 34763729 PMCID: PMC8588621 DOI: 10.1186/s40104-021-00643-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/07/2021] [Indexed: 12/25/2022] Open
Abstract
Antimicrobials have been widely used to prevent and treat infectious diseases and promote growth in food-production animals. However, the occurrence of antimicrobial resistance poses a huge threat to public and animal health, especially in less developed countries where food-producing animals often intermingle with humans. To limit the spread of antimicrobial resistance from food-production animals to humans and the environment, it is essential to have a comprehensive knowledge of the role of the resistome in antimicrobial resistance (AMR), The resistome refers to the collection of all antimicrobial resistance genes associated with microbiota in a given environment. The dense microbiota in the digestive tract is known to harbour one of the most diverse resistomes in nature. Studies of the resistome in the digestive tract of humans and animals are increasing exponentially as a result of advancements in next-generation sequencing and the expansion of bioinformatic resources/tools to identify and describe the resistome. In this review, we outline the various tools/bioinformatic pipelines currently available to characterize and understand the nature of the intestinal resistome of swine, poultry, and ruminants. We then propose future research directions including analysis of resistome using long-read sequencing, investigation in the role of mobile genetic elements in the expression, function and transmission of AMR. This review outlines the current knowledge and approaches to studying the resistome in food-producing animals and sheds light on future strategies to reduce antimicrobial usage and control the spread of AMR both within and from livestock production systems.
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Affiliation(s)
- Tao Ma
- Key laboratory of Feed Biotechnology of the Ministry of Agriculture, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.,Department of Agricultural, Food and Nutritional Science, University of Alberta, T6G2P5, Edmonton, AB, Canada
| | - Tim A McAllister
- Lethbridge Research and Development Centre, Lethbridge, AB, T1J 4P4, Canada
| | - Le Luo Guan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, T6G2P5, Edmonton, AB, Canada.
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17
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Ma JE, Xiong XW, Xu JG, Gong JS, Li J, Xu Q, Li YF, Yang YB, Zhou M, Zhu XN, Tan YW, Sheng WT, Wang ZF, Tu XT, Zeng CY, Zhang XQ, Rao YS. Metagenomic Analysis Identifies Sex-Related Cecal Microbial Gene Functions and Bacterial Taxa in the Quail. Front Vet Sci 2021; 8:693755. [PMID: 34660751 PMCID: PMC8517240 DOI: 10.3389/fvets.2021.693755] [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: 04/13/2021] [Accepted: 09/06/2021] [Indexed: 12/15/2022] Open
Abstract
Background: Japanese quail (Coturnix japonica) are important and widely distributed poultry in China. Researchers continue to pursue genetic selection for heavier quail. The intestinal microbiota plays a substantial role in growth promotion; however, the mechanisms involved in growth promotion remain unclear. Results: We generated 107.3 Gb of cecal microbiome data from ten Japanese quail, providing a series of quail gut microbial gene catalogs (1.25 million genes). We identified a total of 606 main microbial species from 1,033,311 annotated genes distributed among the ten quail. Seventeen microbial species from the genera Anaerobiospirillum, Alistipes, Barnesiella, and Butyricimonas differed significantly in their abundances between the female and male gut microbiotas. Most of the functional gut microbial genes were involved in metabolism, primarily in carbohydrate transport and metabolism, as well as some active carbohydrate-degrading enzymes. We also identified 308 antibiotic-resistance genes (ARGs) from the phyla Bacteroidetes, Firmicutes and Euryarchaeota. Studies of the differential gene functions between sexes indicated that abundances of the gut microbes that produce carbohydrate-active enzymes varied between female and male quail. Bacteroidetes was the predominant ARG-containing phylum in female quail; Euryarchaeota was the predominant ARG-containing phylum in male quail. Conclusion: This article provides the first description of the gene catalog of the cecal bacteria in Japanese quail as well as insights into the bacterial taxa and predictive metagenomic functions between male and female quail to provide a better understanding of the microbial genes in the quail ceca.
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Affiliation(s)
- Jing-E Ma
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Xin-Wei Xiong
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Ji-Guo Xu
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Ji-Shang Gong
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Jin Li
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China
| | - Qiao Xu
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Yuan-Fei Li
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Yang-Bei Yang
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Min Zhou
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Xue-Nong Zhu
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Yu-Wen Tan
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Wen-Tao Sheng
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Zhang-Feng Wang
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Xu-Tang Tu
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Cheng-Yao Zeng
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Xi-Quan Zhang
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangzhou, China.,Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - You-Sheng Rao
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
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18
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Zhang K, He C, Xu Y, Zhang C, Li C, Jing X, Wang M, Yang Y, Suo L, Kalds P, Song J, Wang X, Brugger D, Wu Y, Chen Y. Taxonomic and functional adaption of the gastrointestinal microbiome of goats kept at high altitude (4800 m) under intensive or extensive rearing conditions. FEMS Microbiol Ecol 2021; 97:6104461. [PMID: 33469669 DOI: 10.1093/femsec/fiab009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 01/14/2021] [Indexed: 11/14/2022] Open
Abstract
The gut microbiota composition is influenced by the diet as well as the environment in both wild and domestic animals. We studied the effects of two feeding systems on the rumen and hindgut microbiome of semi-feral Tibetan goats kept at high altitude (∼4800 m) using 16S rRNA gene and metagenomic sequencing. Intensive drylot feeding resulted in significantly higher zootechnical performance, narrower ruminal acetate: propionate ratios and a drop in the average rumen pH at slaughter to ∼5.04. Hindgut microbial adaption appeared to be more diverse in the drylot group suggesting a higher influx of undegraded complex non-starch polysaccharides from the rumen. Despite their higher fiber levels in the diet, grazing goats exhibited lower counts of Methanobrevibacter and genes associated with the hydrogenotrophic methanogenesis pathway, presumably reflecting the scarce dietary conditions (low energy density) when rearing goats on pasture from extreme alpine environments. These conditions appeared to promote a relevant abundance of bacitracin genes. In parallel, we recognized a significant increase in the abundance of antibiotic resistance genes in the digestive tracts of drylot animals. In summary, this study provides a deeper insight into the metataxonomic and functional adaption of the gastrointestinal microbiome of goats subject to intensive drylot and extensive pasture rearing conditions at high altitude.
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Affiliation(s)
- Ke Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Chong He
- College of Information Engineering, Northwest A&F University, Yangling, 712100, China
| | - Yangbin Xu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Chenguang Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Chao Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Xu Jing
- College of Information Engineering, Northwest A&F University, Yangling, 712100, China
| | - Meili Wang
- College of Information Engineering, Northwest A&F University, Yangling, 712100, China
| | - Yuxin Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Langda Suo
- Institute of Animal Sciences, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850009, China
| | - Peter Kalds
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Jiuzhou Song
- Department of Animal and Avian Sciences, University of Maryland, College Park, Maryland, 20742, USA
| | - Xiaolong Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Daniel Brugger
- Institute of Animal Nutrition, Vetsuisse-Faculty, University of Zurich, 8057 Zurich, Switzerland
| | - Yujiang Wu
- Institute of Animal Sciences, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850009, China
| | - Yulin Chen
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
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19
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Xue MY, Xie YY, Zhong YF, Liu JX, Guan LL, Sun HZ. Ruminal resistome of dairy cattle is individualized and the resistotypes are associated with milking traits. Anim Microbiome 2021; 3:18. [PMID: 33568223 PMCID: PMC7877042 DOI: 10.1186/s42523-021-00081-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 01/27/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Antimicrobial resistance is one of the most urgent threat to global public health, as it can lead to high morbidity, mortality, and medical costs for humans and livestock animals. In ruminants, the rumen microbiome carries a large number of antimicrobial resistance genes (ARGs), which could disseminate to the environment through saliva, or through the flow of rumen microbial biomass to the hindgut and released through feces. The occurrence and distribution of ARGs in rumen microbes has been reported, revealing the effects of external stimuli (e.g., antimicrobial administrations and diet ingredients) on the antimicrobial resistance in the rumen. However, the host effect on the ruminal resistome and their interactions remain largely unknown. Here, we investigated the ruminal resistome and its relationship with host feed intake and milk protein yield using metagenomic sequencing. RESULTS The ruminal resistome conferred resistance to 26 classes of antimicrobials, with genes encoding resistance to tetracycline being the most predominant. The ARG-containing contigs were assigned to bacterial taxonomy, and the majority of highly abundant bacterial genera were resistant to at least one antimicrobial, while the abundances of ARG-containing bacterial genera showed distinct variations. Although the ruminal resistome is not co-varied with host feed intake, it could be potentially linked to milk protein yield in dairy cows. Results showed that host feed intake did not affect the alpha or beta diversity of the ruminal resistome or the abundances of ARGs, while the Shannon index (R2 = 0.63, P < 0.01) and richness (R2 = 0.67, P < 0.01) of the ruminal resistome were highly correlated with milk protein yield. A total of 128 significantly different ARGs (FDR < 0.05) were identified in the high- and low-milk protein yield dairy cows. We found four ruminal resistotypes that are driven by specific ARGs and associated with milk protein yield. Particularly, cows with low milk protein yield are classified into the same ruminal resistotype and featured by high-abundance ARGs, including mfd and sav1866. CONCLUSIONS The current study uncovered the prevalence of ARGs in the rumen of a cohort of lactating dairy cows. The ruminal resistome is not co-varied with host feed intake, while it could be potentially linked to milk protein yield in dairy cows. Our results provide fundamental knowledge on the prevalence, mechanisms and impact factors of antimicrobial resistance in dairy cattle and are important for both the dairy industry and other food animal antimicrobial resistance control strategies.
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Affiliation(s)
- Ming-Yuan Xue
- Institute of Dairy Science, Ministry of Education Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Yun-Yi Xie
- Institute of Dairy Science, Ministry of Education Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Yi-Fan Zhong
- Institute of Dairy Science, Ministry of Education Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jian-Xin Liu
- Institute of Dairy Science, Ministry of Education Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Le Luo Guan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Hui-Zeng Sun
- Institute of Dairy Science, Ministry of Education Key Laboratory of Molecular Animal Nutrition, College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China.
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20
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Jing R, Yan Y. Metagenomic analysis reveals antibiotic resistance genes in the bovine rumen. Microb Pathog 2020; 149:104350. [PMID: 32561419 DOI: 10.1016/j.micpath.2020.104350] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 05/22/2020] [Accepted: 05/30/2020] [Indexed: 12/21/2022]
Abstract
Metagenomics and network analysis were used to profile antibiotic resistance genes (ARGs) and their cooccurrence patterns in bovine rumen microbes. A total of 4941 ruminal microbial genomes and 20 metagenome samples were used in this study. In general, 103 ARG subtypes belonging to 20 ARG types in 79 candidate genomes were identified, showing the broad-spectrum profiles of ARGs in the bovine rumen environment. A wide distribution of genes encoding bacitracin resistance was found among the candidate genomes, suggesting the possibility that bovines might be one of the sources of bacitracin resistance genes. Cooccurrence patterns were found within or between the ARG types, and a positive correlation was found between some ARGs and bacteria, which revealed potential dominant hosts of ARGs. The investigation showed that bovine rumen systems are important ARG reservoirs, and our research might provide a theoretical basis for the evaluation of the harmfulness of ARGs and antibiotic-resistant bacteria (ARB) to food safety and human health.
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Affiliation(s)
- Ruoxi Jing
- College of Animal Engineering, Yangling Vocational & Technical College, Yang Ling, 712100, China.
| | - Yueyang Yan
- College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
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21
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Chen F, Cheng G, Xu Y, Wang Y, Xia Q, Hu S. Rumen Microbiota Distribution Analyzed by High-Throughput Sequencing After Oral Doxycycline Administration in Beef Cattle. Front Vet Sci 2020; 7:251. [PMID: 32582771 PMCID: PMC7280444 DOI: 10.3389/fvets.2020.00251] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 04/16/2020] [Indexed: 12/12/2022] Open
Abstract
The beef cattle rumen is a heterogenous microbial ecosystem that is necessary for the host to digest food and support growth. The importance of the rumen microbiota (RM) is also widely recognized for its critical roles in metabolism and immunity. The level of health is indicated by a dynamic RM distribution. We performed high-throughput sequencing of the bacterial 16S rRNA gene to compare microbial populations between rumens in beef cattle with or without doxycycline treatment to assess dynamic microbiotic shifts following antibiotic administration. The results of the operational taxonomic unit analysis and alpha and beta diversity calculations showed that doxycycline-treated beef cattle had lower species richness and bacterial diversity than those without doxycycline. Bacteroidetes was the predominant phylum in rumen samples without doxycycline, while Proteobacteria was the governing phylum in the presence of doxycycline. On the family level, the top three predominant populations in group qlqlwy (not treated with doxycycline) were Prevotellaceae, Lachnospiraceae, and Ruminococcaceae, compared to Xanthomonadaceae, Prevotellaceae, and Rikenellaceae in group qlhlwy (treated with doxycycline). At the genus level, the top predominant population in group qlqlwy was unidentified_Prevotellaceae. However, in group qlhlwy, the top predominant population was Stenotrophomonas. The results revealed significant RM differences in beef cattle with or without doxycycline. Oral doxycycline may induce RM composition differences, and bacterial richness may also influence corresponding changes that could guide antibiotic use in adult ruminants. This study is the first to assess microbiota distribution in beef cattle rumen after doxycycline administration.
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Affiliation(s)
- Fengmei Chen
- Shandong Research Center for Technology of Reduction of Antibiotics Administered to Animal and Poultry, Shandong Vocational Animal Science and Veterinary College, Weifang, China
| | - Guangmin Cheng
- Shandong Research Center for Technology of Reduction of Antibiotics Administered to Animal and Poultry, Shandong Vocational Animal Science and Veterinary College, Weifang, China
| | - Yulin Xu
- Comparative Medicine Research Institute, Yangzhou University, Yangzhou, China.,College Veterinary Medicine, Yangzhou University, Yangzhou, China.,Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, China.,Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou, China
| | - Yunzhou Wang
- Shandong Research Center for Technology of Reduction of Antibiotics Administered to Animal and Poultry, Shandong Vocational Animal Science and Veterinary College, Weifang, China
| | - Qingxiang Xia
- Shandong Research Center for Technology of Reduction of Antibiotics Administered to Animal and Poultry, Shandong Vocational Animal Science and Veterinary College, Weifang, China
| | - Shilin Hu
- Shandong Research Center for Technology of Reduction of Antibiotics Administered to Animal and Poultry, Shandong Vocational Animal Science and Veterinary College, Weifang, China
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22
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Li J, Zhong H, Ramayo-Caldas Y, Terrapon N, Lombard V, Potocki-Veronese G, Estellé J, Popova M, Yang Z, Zhang H, Li F, Tang S, Yang F, Chen W, Chen B, Li J, Guo J, Martin C, Maguin E, Xu X, Yang H, Wang J, Madsen L, Kristiansen K, Henrissat B, Ehrlich SD, Morgavi DP. A catalog of microbial genes from the bovine rumen unveils a specialized and diverse biomass-degrading environment. Gigascience 2020; 9:5849033. [PMID: 32473013 PMCID: PMC7260996 DOI: 10.1093/gigascience/giaa057] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 11/07/2019] [Accepted: 05/06/2020] [Indexed: 01/10/2023] Open
Abstract
Background The rumen microbiota provides essential services to its host and, through its role in ruminant production, contributes to human nutrition and food security. A thorough knowledge of the genetic potential of rumen microbes will provide opportunities for improving the sustainability of ruminant production systems. The availability of gene reference catalogs from gut microbiomes has advanced the understanding of the role of the microbiota in health and disease in humans and other mammals. In this work, we established a catalog of reference prokaryote genes from the bovine rumen. Results Using deep metagenome sequencing we identified 13,825,880 non-redundant prokaryote genes from the bovine rumen. Compared to human, pig, and mouse gut metagenome catalogs, the rumen is larger and richer in functions and microbial species associated with the degradation of plant cell wall material and production of methane. Genes encoding enzymes catalyzing the breakdown of plant polysaccharides showed a particularly high richness that is otherwise impossible to infer from available genomes or shallow metagenomics sequencing. The catalog expands the dataset of carbohydrate-degrading enzymes described in the rumen. Using an independent dataset from a group of 77 cattle fed 4 common dietary regimes, we found that only <0.1% of genes were shared by all animals, which contrast with a large overlap for functions, i.e., 63% for KEGG functions. Different diets induced differences in the relative abundance rather than the presence or absence of genes, which explains the great adaptability of cattle to rapidly adjust to dietary changes. Conclusions These data bring new insights into functions, carbohydrate-degrading enzymes, and microbes of the rumen to complement the available information on microbial genomes. The catalog is a significant biological resource enabling deeper understanding of phenotypes and biological processes and will be expanded as new data are made available.
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Affiliation(s)
- Junhua Li
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China.,School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China
| | - Huanzi Zhong
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China.,Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen Ø, Denmark
| | - Yuliaxis Ramayo-Caldas
- INRAE, Génétique Animale et Biologie Intégrative, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France.,Animal Breeding and Genetics Program, Institute for Research and Technology in Food and Agriculture (IRTA), Torre Marimon, Caldes de Montbui 08140, Spain
| | - Nicolas Terrapon
- CNRS UMR 7257, Aix-Marseille University, 13288 Marseille, France.,INRAE, USC 1408 AFMB, 13288 Marseille, France
| | - Vincent Lombard
- CNRS UMR 7257, Aix-Marseille University, 13288 Marseille, France.,INRAE, USC 1408 AFMB, 13288 Marseille, France
| | | | - Jordi Estellé
- INRAE, Génétique Animale et Biologie Intégrative, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Milka Popova
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès Champanelle, France
| | - Ziyi Yang
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Hui Zhang
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Fang Li
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Shanmei Tang
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Fangming Yang
- BGI-Shenzhen, Shenzhen 518083, China.,School of Future Technology, University of Chinese Academy of Sciences, Beijing 101408, China
| | | | - Bing Chen
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Jiyang Li
- BGI-Shenzhen, Shenzhen 518083, China
| | - Jing Guo
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Cécile Martin
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès Champanelle, France
| | - Emmanuelle Maguin
- INRAE, Micalis Institute, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Xun Xu
- BGI-Shenzhen, Shenzhen 518083, China.,China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou 310058, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen 518083, China.,James D. Watson Institute of Genome Sciences, Hangzhou 310058, China
| | - Lise Madsen
- BGI-Shenzhen, Shenzhen 518083, China.,Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen Ø, Denmark.,Institute of Marine Research (IMR), Postboks 1870 Nordnes, 5817 Bergen, Norway
| | - Karsten Kristiansen
- BGI-Shenzhen, Shenzhen 518083, China.,Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100 Copenhagen Ø, Denmark
| | - Bernard Henrissat
- CNRS UMR 7257, Aix-Marseille University, 13288 Marseille, France.,INRAE, USC 1408 AFMB, 13288 Marseille, France.,Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Stanislav D Ehrlich
- BGI-Shenzhen, Shenzhen 518083, China.,MGP MetaGenoPolis, INRAE, Université Paris-Saclay, 78350 Jouy en Josas, France.,Centre for Host Microbiome Interactions, Dental Institute, King's College London, London, UK
| | - Diego P Morgavi
- BGI-Shenzhen, Shenzhen 518083, China.,Université Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, F-63122 Saint-Genès Champanelle, France
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23
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Characterization of antibiotic resistance genes in the species of the rumen microbiota. Nat Commun 2019; 10:5252. [PMID: 31748524 PMCID: PMC6868206 DOI: 10.1038/s41467-019-13118-0] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Accepted: 10/21/2019] [Indexed: 12/25/2022] Open
Abstract
Infections caused by multidrug resistant bacteria represent a therapeutic challenge both in clinical settings and in livestock production, but the prevalence of antibiotic resistance genes among the species of bacteria that colonize the gastrointestinal tract of ruminants is not well characterized. Here, we investigate the resistome of 435 ruminal microbial genomes in silico and confirm representative phenotypes in vitro. We find a high abundance of genes encoding tetracycline resistance and evidence that the tet(W) gene is under positive selective pressure. Our findings reveal that tet(W) is located in a novel integrative and conjugative element in several ruminal bacterial genomes. Analyses of rumen microbial metatranscriptomes confirm the expression of the most abundant antibiotic resistance genes. Our data provide insight into antibiotic resistange gene profiles of the main species of ruminal bacteria and reveal the potential role of mobile genetic elements in shaping the resistome of the rumen microbiome, with implications for human and animal health.
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24
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Reddy B, Dubey SK. River Ganges water as reservoir of microbes with antibiotic and metal ion resistance genes: High throughput metagenomic approach. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 246:443-451. [PMID: 30579213 DOI: 10.1016/j.envpol.2018.12.022] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 12/07/2018] [Accepted: 12/08/2018] [Indexed: 06/09/2023]
Abstract
The large scale usage of antibiotics and trace elements leads to their progressive release in the environment, and ultimately the spread of antibiotic resistance genes (ARGs) and metal ion resistance genes (MRGs) in bacteria. A high-throughput metagenomic sequencing of the microbial community in water and sediments in the river Ganges harboring resistance genes was performed. The results revealed that the river harbors a broad spectrum of resistance genes with high abundance in sediments. The highly dominant ARGs type was beta-lactam, multidrug/efflux and elfamycin. The ARGs such as (tuf, parY, ileS, mfd) were highly abundant in water and sediments. The MRGs subtype acn was the most abundant metal resistance gene in water and sediments. Majority of ARGs types showed significant (p ≤ 0.05) positive correlation with the MRGs types in the river environment suggesting their distribution and transfer to be possibly linked. Taxonomic classification revealed that Proteobacteria and Actinobacteria were the two most abundant phyla in water and sediments. Arcobacter, Terrimicrobium, Acidibacter and Pseudomonas were the most abundant genera. This study suggests that antibiotics and metals are the driving force for the emergence of resistance genes, and their subsequent propagation and accumulation in the environmental bacteria. The present metagenomic investigation highlights significance of such study, and attracts attention for the mitigation of pollutants associated with the propagation of ARGs and MRGs in the river environment.
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Affiliation(s)
- Bhaskar Reddy
- Molecular Ecology Laboratory, Centre of Advanced Study in Botany, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
| | - Suresh Kumar Dubey
- Molecular Ecology Laboratory, Centre of Advanced Study in Botany, Institute of Science, Banaras Hindu University, Varanasi, 221005, India.
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25
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Collis RM, Burgess SA, Biggs PJ, Midwinter AC, French NP, Toombs-Ruane L, Cookson AL. Extended-Spectrum Beta-Lactamase-Producing Enterobacteriaceae in Dairy Farm Environments: A New Zealand Perspective. Foodborne Pathog Dis 2018; 16:5-22. [PMID: 30418042 DOI: 10.1089/fpd.2018.2524] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Antimicrobial resistance (AMR) is a global issue for both human and animal health. Infections caused by antimicrobial-resistant bacteria present treatment option challenges and are often associated with heightened severity of infection. Antimicrobial use (AMU) in human and animal health is a main driver for the development of antimicrobial-resistant bacteria. Increasing levels of AMU and the development and spread of AMR in food-producing animals, especially in poultry and swine production, has been identified as a food safety risk, but dairy production systems have been less studied. A number of farm management practices may impact on animal disease and as a result can influence the use of antimicrobials and subsequently AMR prevalence. However, this relationship is multifactorial and complex. Several AMR transmission pathways between dairy cattle, the environment, and humans have been proposed, including contact with manure-contaminated pastures, direct contact, or through the food chain from contaminated animal-derived products. The World Health Organization has defined a priority list for selected bacterial pathogens of concern to human health according to 10 criteria relating to health and AMR. This list includes human pathogens such as the extended-spectrum beta-lactamase-producing Enterobacteriaceae (ESBL-E), which can be associated with dairy cattle, their environment, as well as animal-derived food products. ESBL-E represent a potential risk to human and animal health and an emerging food safety concern. This review addresses two areas; first, the current understanding of the role of dairy farming in the prevalence and spread of AMR is considered, highlighting research gaps using ESBL-E as an exemplar; and second, a New Zealand perspective is taken to examine how farm management practices may contribute to on-farm AMU and AMR in dairy cattle.
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Affiliation(s)
- Rose M Collis
- 1 AgResearch Ltd, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand.,2 Molecular Epidemiology and Veterinary Public Health Laboratory (mEpiLab), Infectious Disease Research Centre, School of Veterinary Science, Massey University, Palmerston North, New Zealand
| | - Sara A Burgess
- 2 Molecular Epidemiology and Veterinary Public Health Laboratory (mEpiLab), Infectious Disease Research Centre, School of Veterinary Science, Massey University, Palmerston North, New Zealand
| | - Patrick J Biggs
- 2 Molecular Epidemiology and Veterinary Public Health Laboratory (mEpiLab), Infectious Disease Research Centre, School of Veterinary Science, Massey University, Palmerston North, New Zealand.,3 Institute of Fundamental Sciences, Massey University, Palmerston North, New Zealand. Massey University, Palmerston North, New Zealand.,4 New Zealand Food Safety Science and Research Centre, Massey University, Palmerston North, New Zealand
| | - Anne C Midwinter
- 2 Molecular Epidemiology and Veterinary Public Health Laboratory (mEpiLab), Infectious Disease Research Centre, School of Veterinary Science, Massey University, Palmerston North, New Zealand
| | - Nigel P French
- 2 Molecular Epidemiology and Veterinary Public Health Laboratory (mEpiLab), Infectious Disease Research Centre, School of Veterinary Science, Massey University, Palmerston North, New Zealand.,4 New Zealand Food Safety Science and Research Centre, Massey University, Palmerston North, New Zealand
| | - Leah Toombs-Ruane
- 2 Molecular Epidemiology and Veterinary Public Health Laboratory (mEpiLab), Infectious Disease Research Centre, School of Veterinary Science, Massey University, Palmerston North, New Zealand
| | - Adrian L Cookson
- 1 AgResearch Ltd, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand.,2 Molecular Epidemiology and Veterinary Public Health Laboratory (mEpiLab), Infectious Disease Research Centre, School of Veterinary Science, Massey University, Palmerston North, New Zealand
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