结合网络分析和可解释的机器学习,揭示了超过10,000个反动物微生物基因组的环境适应性
Yueyang Yan1, Tao Shi2, Xin Bao3
1Key Laboratory for Zoonoses Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, China.
Frontiers in microbiology
|October 6, 2023
概括
食性胃肠道微生物组是由环境因素塑造的. 了解这些微生物适应是改善农业可持续性和动物健康的关键.
科学领域:
- 微生物生态学 微生物生态学
- 类动物营养 类动物营养
- 生物信息学是一种生物信息学.
背景情况:
- 食性胃肠道微生物对宿主健康和生产力至关重要.
- 环境,饮食和宿主因素影响胃肠道微生物的适应.
- 了解这些影响对于可持续的反动物生产至关重要.
研究的目的:
- 阐明在反动物胃肠道系统中的微生物拓和强度.
- 通过抗生素耐药性基因 (ARG) 评估高风险的元基因组组合基因组 (MAG) 传播的风险.
- 用机器学习分析微生物对环境因素的适应,包括高度.
主要方法:
- 微生物网络拓和强度的图形分析.
- 对抗生素耐药性基因 (ARG) 分布的大规模调查.
- 为高维微生物基因组数据开发可解释的机器学习框架.
- 对微生物转录修复和适应不同高度的分析.
主要成果:
- 食性胃肠道微生物网络表现出对随机干扰的强度.
- 通过ARG分发识别了高风险MAG的传播风险.
- 对反动物微生物组的功能特征和微生物适应不同高度的环境影响.
结论:
- 环境因素显著影响反动物微生物组的功能特征.
- 研究结果为开发微生物资源为可持续农业提供了新的见解.
- 这项研究支持通过了解微生物群来增强动物健康和农业可持续性.
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