Kumari Neha, Khan Nikhat, Das Aparup
Department of Genomic Epidemiology, ICMR-National Institute of Research in Tribal Health, Jabalpur, Madhya Pradesh, India.
Int J Mycobacteriol. 2025 Apr 1;14(2):132-139. doi: 10.4103/ijmy.ijmy_30_25. Epub 2025 Jun 20.
This study aims to identify the signatures of natural selection in the pyrazinamidase (pncA) gene to see if genetic adaptations by Darwinian natural selection have shaped genetic composition of Mycobacterium tuberculosis (Mtb).
The present analyses were based on 209 DNA sequences (561 bp) of the pncA gene of the bacterial pathogen, Mtb from seven different counties (Peru, Pakistan, South Africa, Mexico, India, China, and Kuwait) endemic to tuberculosis (TB). Before conducting tests for Darwinian natural selection in the pncA gene, we conducted several tests for neutrality in all the available DNA sequences after retrieval from public domains. Several statistical analyses under different algorithms were conducted and biological/evolutionary inferences were drawn.
The 209 sequences of the pncA gene in Mtb belonging to seven different countries were found to be perfectly aligned with the reference sequence. Data analyses under different population genetic models revealed the highest genetic diversity in India, followed by Peru; the lowest was in China. Interestingly, four populations; Peru, Pakistan, India, and Kuwait were found to be deviated from neutral model of evolution based on Tajima'D (TD) values; two populations (India and Peru) based on Fu and Li's D and F (FLD and FLF) test values and five populations (India, Peru, Pakistan, South Africa, and Kuwait) based on Fay and Wu's H (FWH) test. Moreover, based on the statistically significant results of neutrality tests, evidence for positive selection in three populations (Peru [P < 0.02945], Pakistan [P < 0.01767], and Kuwait [P < 0.00301]) at P < 0.05 level of significance] was found.
The present evolutionary genetic analysis of the pncA gene indicates different levels of genetic diversity in seven different country populations. As almost all the global populations showed deviation from neutral model and three populations showed signatures of natural selection, with no specific hotspot region identified for PZA resistance, this gene needs to be studied with larger population size covering countries with TB incidences to study the evolution of drug resistance in Mtb. This will help in the management of drug resistance and TB elimination plan.
本研究旨在确定吡嗪酰胺酶(pncA)基因中的自然选择特征,以了解达尔文自然选择导致的基因适应性是否塑造了结核分枝杆菌(Mtb)的基因组成。
本分析基于来自七个不同结核病(TB)流行县(秘鲁、巴基斯坦、南非、墨西哥、印度、中国和科威特)的细菌病原体Mtb的pncA基因的209个DNA序列(561 bp)。在对pncA基因进行达尔文自然选择测试之前,我们从公共数据库检索所有可用DNA序列后进行了多项中性测试。采用不同算法进行了多项统计分析,并得出生物学/进化推断。
发现来自七个不同国家的Mtb的pncA基因的209个序列与参考序列完全对齐。不同群体遗传模型下的数据分析显示,印度的遗传多样性最高,其次是秘鲁;中国的遗传多样性最低。有趣的是,基于 Tajima'D(TD)值,四个群体(秘鲁、巴基斯坦、印度和科威特)偏离了中性进化模型;基于 Fu 和 Li 的 D 和 F(FLD 和 FLF)测试值,两个群体(印度和秘鲁)偏离;基于 Fay 和 Wu 的 H(FWH)测试,五个群体(印度、秘鲁、巴基斯坦、南非和科威特)偏离。此外,基于中性测试的统计学显著结果,发现三个群体(秘鲁[P < 0.02945]、巴基斯坦[P < 0.01767]和科威特[P < 0.00301])在 P < 0.05 显著性水平下存在正选择证据。
目前对pncA基因的进化遗传分析表明,七个不同国家群体的遗传多样性水平不同。由于几乎所有全球群体都偏离了中性模型,三个群体显示出自然选择特征,且未确定与吡嗪酰胺耐药性相关的特定热点区域,因此需要在更大规模人群中对该基因进行研究,涵盖结核病发病率较高的国家,以研究Mtb耐药性的演变。这将有助于耐药性管理和结核病消除计划。