超基因组多态毒素效应因子和免疫特征分析预测了微生物群的发展和与疾病相关的失生症
Hunter W Schroer1, Francesco Beghini2, Juan Antonio Raygoza Garay3,4
1Civil, Architectural & Environmental Engineering, Missouri University of Science and Technology, Rolla, MO.
bioRxiv : the preprint server for biology
|July 17, 2025
概括
肠道微生物群中的多态毒素分泌系统 (TSS) 区分疾病并跟踪婴儿发育. 这种细菌对抗性塑造了人类微生物组,并可能影响非遗传遗传.
科学领域:
- 微生物组研究的研究.
- 细菌遗传学 细菌遗传学
- 生物信息学是一种生物信息学.
背景情况:
- 细菌在人类肠道微生物组中竞争,使用诸如多态毒素分泌系统 (TSS) 等武器.
- 了解TSS对于微生物组分析和疾病关联至关重要.
研究的目的:
- 开发一种生物信息学工具 (PolyProf) 来量化人类元基因组中的TSS.
- 调查TSS在微生物组发育和疾病状态中的作用.
主要方法:
- 开发了PolyProf,一种生物信息标记基因方法,用于量化约200个TSS效应和免疫基因.
- 将PolyProf应用于约15,000个人类元基因组.
- 利用决策树机器学习模型整合细菌分类学和PolyProf数据.
主要成果:
- 通过PolyProf的多样性指标,有效地区分了12种人类疾病状态.
- 机器学习模型使用PolyProf和分类学实现了近乎完美的疾病分类准确性.
- 在婴儿微生物组发育过程中观察到PolyProfα多样性增加和母体微生物组相似性.
- 发现PolyProf与人际细菌菌株共享相关.
结论:
- 通过TSS进行的细菌间对抗作用显著塑造了肠道微生物组的发展和人际菌株共享.
- 聚普罗的区分疾病状态的能力表明TSS动态有助于健康和潜在的非遗传遗传模式.
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