Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, 46010, Spain.
CIBER en Epidemiología y Salud Pública, Valencia, Spain.
Proc Natl Acad Sci U S A. 2022 Apr 26;119(17):e2113600119. doi: 10.1073/pnas.2113600119. Epub 2022 Apr 22.
Genetic differences between different Mycobacterium tuberculosis complex (MTBC) strains determine their ability to transmit within different host populations, their latency times, and their drug resistance profiles. Said differences usually emerge through de novo mutations and are maintained or discarded by the balance of evolutionary forces. Using a dataset of ∼5,000 strains representing global MTBC diversity, we determined the past and present selective forces that have shaped the current variability observed in the pathogen population. We identified regions that have evolved under changing types of selection since the time of the MTBC common ancestor. Our approach highlighted striking differences in the genome regions relevant for host–pathogen interaction and, in particular, suggested an adaptive role for the sensor protein of two-component systems. In addition, we applied our approach to successfully identify potential determinants of resistance to drugs administered as second-line tuberculosis treatments.
不同结核分枝杆菌复合群(MTBC)菌株之间的遗传差异决定了它们在不同宿主群体中的传播能力、潜伏期和耐药谱。这些差异通常通过从头突变产生,并通过进化力量的平衡得以维持或淘汰。利用一个代表全球 MTBC 多样性的约 5000 株菌株数据集,我们确定了过去和现在塑造病原体种群中当前可变性的选择压力。我们鉴定出了在 MTBC 共同祖先时期之后,随着选择类型的变化而进化的区域。我们的方法突出了与宿主-病原体相互作用相关的基因组区域的显著差异,特别是表明了两种成分系统传感器蛋白的适应性作用。此外,我们应用我们的方法成功地鉴定了作为二线结核病治疗药物的潜在耐药性决定因素。