Diurnal oscillations of amino acids dynamically associate with microbiota and resistome in the colon of pigs.

IF 4.9 Q1 MICROBIOLOGY
Hongyu Wang, Yue Li, Jinwei You, Ni Feng, Dongfang Wang, Yong Su, Xiaobo Feng
{"title":"Diurnal oscillations of amino acids dynamically associate with microbiota and resistome in the colon of pigs.","authors":"Hongyu Wang, Yue Li, Jinwei You, Ni Feng, Dongfang Wang, Yong Su, Xiaobo Feng","doi":"10.1186/s42523-025-00393-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Results: </strong>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<sub>Adj</sub> = 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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":72201,"journal":{"name":"Animal microbiome","volume":"7 1","pages":"26"},"PeriodicalIF":4.9000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11908058/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Animal microbiome","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s42523-025-00393-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: 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.

Results: 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 (PAdj = 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.

Conclusions: 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.

氨基酸的昼夜振荡与猪结肠中的微生物群和抗性组动态相关。
背景:营养物质是肠道菌群变异的关键决定因素之一。然而,氨基酸(AA)谱与肠道微生物群和抵抗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24小时内猪结肠中AA谱和肠道微生物群的时间动态,并利用宏基因组学和代谢组学方法进一步探讨了AA谱、微生物群和抵抗组之间的动态相互关系。结果:JTK_circle分析显示AA谱和肠道菌群均表现出节律性波动。相对于采食量,除l -同型丝氨酸(PAdj = 0.553)外,其余氨基酸均有显著波动。超过50%的乳酸菌科、瘤胃球菌科、梭菌科和真杆菌科物种在T15 ~ T21达到顶峰,而50%的毛螺科物种则经历低谷。eLSA结果表明,大部分AAs与Prevotellaceae物种呈正相关,与Lactobacillaceae和Lachnospiraceae物种呈负相关。大部分AAs与移动遗传元件Tn916和istA组呈负相关,而与质粒呈正相关。进一步的偏最小二乘结构方程模型分析表明,AAs通过移动遗传元件和肠道菌群影响抗生素耐药基因动力学。结论:总的来说,AA谱和肠道微生物群在一天内表现出强劲的波动。AA谱可以直接或间接地影响肠道微生物群和抵抗组。这些发现可能为操纵肠道微生物群和抵抗组的潜在策略提供新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
7.20
自引率
0.00%
发文量
0
审稿时长
13 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信