使用数千个基因组的数据,检测Staphylococcus aureus中辅助基因组共进化的模式
Rohan S Mehta1, Robert A Petit2,3, Timothy D Read2,4
1Department of Physics, Emory University, Atlanta, GA, USA. rsmeht4@emory.edu.
BMC bioinformatics
|June 9, 2023
概括
研究人员开发了一种新方法,通过比较密切相关的个体来检测细菌基因组中的共同进化的基因. 这种方法揭示了协调的基因增益/损失事件,突出了Staphylococcus aureus病毒毒性和抗生素耐药性相关的基因网络.
科学领域:
- 基因组学就是基因组学.
- 微生物进化 微生物进化
- 生物信息学是一种生物信息学.
背景情况:
- 由于广泛的水平基因转移,细菌基因组具有高度的动态性.
- 推断基因相互作用是由于可变的基因组内容而具有挑战性.
研究的目的:
- 开发一种新的计算方法,用于检测细菌群中的共同进化的基因.
- 识别以协调的方式获得或丢失的基因网络.
主要方法:
- 使用密切相关的细菌基因组进行双对比方法,类似于真核生物血统研究.
- 应用到Staphylococcus aureus辅助基因组使用一个大数据集超过40,000整个基因组.
- 鉴定表现出协调增益/损失或补偿增益/损失的基因对.
主要成果:
- 发现了许多具有协调增益或损失事件的基因对.
- 鉴定共同进化的基因网络,特别是与毒性,水平基因转移和抗生素耐药性 (例如,SCCmec) 相关的基因网络.
- 证明该方法适用于检测共同替代和基因型-表型共同演变.
结论:
- 开发的方法有效地识别了细菌中共同发展的基因网络.
- 同进化模式在与关键细菌适应相关的基因中突出,例如毒性和抗生素耐药性.
- R包DeCoTUR提供了一个计算工具来应用这种方法.
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