在基因内评估基因中介尺度的选择,可以在M中进行积极选择的基因的强有力的识别. 结核病的临床分离物
Thomas R Ioerger1, Anthony Shatby1
1Department of Computer Science and Engineering, Texas A&M University.
bioRxiv : the preprint server for biology
|June 4, 2025
概括
分析Mycobacterium tuberculosis (Mtb) 基因组演变揭示了正在选择中的基因,特别是耐药性和免疫反应基因. 在子层面评估选择为Mtb适应提供了最可靠的见解.
科学领域:
- 进化生物学是进化的生物学.
- 基因组学就是基因组学.
- 微生物学 微生物学
背景情况:
- 研究在多样化选择下确定了Mycobacterium tuberculosis (Mtb) 中的基因,这可能反映了对结核病 (TB) 治疗的适应性.
- 大多数研究都集中在基因层面的选择上,忽视了更细微的尺度,如基因中的密码子或局部区域.
研究的目的:
- 用贝叶斯方法评估基因,码头和局部区域层面上对Mtb基因组的选择压力.
- 为了确定结构和功能解释的选择中特定的蛋白质区域.
主要方法:
- 采用贝叶斯的方法GenomegaMap,分析了基因,代码和局部区域 (代码的窗口) 的三种尺度的选择.
- 检查了两种不同的Mtb临床分离物 (摩尔多瓦和全球) 收集.
- 由于潜在的测序错误影响了可靠性,排除了PPE和PE_PGRS基因.
主要成果:
- 中间分析 (codon窗口) 提供了最可靠的候选基因在选择的候选列表.
- 在两个mtb分离集合中确定了53个和173个重要的基因,其中36%的基因重叠.
- 观察药物耐药性基因,先前识别的基因 (resR,phoR) 和ESX-1相关基因的选择,表明适应药物和免疫压力.
结论:
- 在编码子窗口层面评估选择对于在选择性压力下识别Mtb基因和蛋白质区域是优越的.
- 这些发现突出了Mtb适应现代结核病治疗和宿主免疫反应.
- 在选择过程中识别的特定蛋白质区域与已知的耐药性机制和免疫逃避策略相关.
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