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Metagenomic analysis reveals a dynamic rumen microbiome with diversified adaptive functions in response to dietary protein restriction and re-alimentation.
Wang, Jiaqi; Shen, Chun; Sun, Jian; Cheng, Long; Zhao, Guangyong; Li, Meng M.
Affiliation
  • Wang J; State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China.
  • Shen C; State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China.
  • Sun J; State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China.
  • Cheng L; State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China.
  • Zhao G; State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China.
  • Li MM; State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China. Electronic address: limeng2021@cau.edu.cn.
Sci Total Environ ; : 174618, 2024 Jul 08.
Article de En | MEDLINE | ID: mdl-38986687
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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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Total Environ Année: 2024 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Total Environ Année: 2024 Type de document: Article