Wang Hongyu, Li Yue, You Jinwei, Feng Ni, Wang Dongfang, Su Yong, Feng Xiaobo
Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
College of Animal Science, Anhui Science and Technology University, Chuzhou, China.
Anim Microbiome. 2025 Mar 13;7(1):26. doi: 10.1186/s42523-025-00393-0.
Nutrients are one of the key determinants of gut microbiota variation. However, the intricate associations between the amino acid (AA) profile and the dynamic fluctuations in the gut microbiota and resistome remain incompletely elucidated. Herein, we investigated the temporal dynamics of AA profile and gut microbiota in the colon of pigs over a 24-hour period, and further explored the dynamic interrelationships among AA profile, microbiota, and resistome using metagenomics and metabolomics approaches.
JTK_circle analysis revealed that both the AA profile and the gut microbiota exhibited rhythmic fluctuations. With respect to the feed intake, all AAs except L-homoserine (P = 0.553) demonstrated significant fluctuations. Over 50% of Lactobacillaceae, Ruminococcaceae, Clostridiaceae, and Eubacteriaceae species reached their peaks during T15 ∼ T21 when 50% of Lachnospiraceae species experienced a trough. The eLSA results showed that most AAs positively correlated with Prevotellaceae species but negatively correlated with Lactobacillaceae and Lachnospiraceae species. Moreover, most of the AAs negatively correlated with the mobile genetic elements Tn916 and istA group but positively correlated with plasmids. Further partial least squares structural equation model analysis indicated that AAs affected the antibiotic resistance gene dynamics through mobile genetic elements and the gut microbiota.
Taken together, the AA profile and the gut microbiota exhibit robust fluctuations over a day. The AA profile can affect the gut microbiota and resistome in a direct or indirect manner. These findings may provide new insights into a potential strategy for manipulating the gut microbiota and resistome.
营养素是肠道微生物群变化的关键决定因素之一。然而,氨基酸(AA)谱与肠道微生物群和耐药基因组动态波动之间的复杂关联仍未完全阐明。在此,我们研究了猪结肠中AA谱和肠道微生物群在24小时内的时间动态,并使用宏基因组学和代谢组学方法进一步探索了AA谱、微生物群和耐药基因组之间的动态相互关系。
JTK_circle分析表明,AA谱和肠道微生物群均呈现节律性波动。就采食量而言,除L-高丝氨酸外(P = 0.553),所有氨基酸均表现出显著波动。超过50%的乳杆菌科、瘤胃球菌科、梭菌科和真杆菌科物种在T15至T21期间达到峰值,而50%的毛螺菌科物种在此期间处于低谷。eLSA结果显示,大多数氨基酸与普雷沃氏菌科物种呈正相关,但与乳杆菌科和毛螺菌科物种呈负相关。此外,大多数氨基酸与移动遗传元件Tn916和istA组呈负相关,但与质粒呈正相关。进一步的偏最小二乘结构方程模型分析表明,氨基酸通过移动遗传元件和肠道微生物群影响抗生素抗性基因动态。
综上所述,AA谱和肠道微生物群在一天内呈现强烈波动。AA谱可直接或间接影响肠道微生物群和耐药基因组。这些发现可能为调控肠道微生物群和耐药基因组的潜在策略提供新的见解。