结核分枝杆菌分子遗传工具的开发进展。

Advances in the development of molecular genetic tools for Mycobacterium tuberculosis.

作者信息

Chhotaray Chiranjibi, Tan Yaoju, Mugweru Julius, Islam Md Mahmudul, Adnan Hameed H M, Wang Shuai, Lu Zhili, Wang Changwei, Li Xinjie, Tan Shouyong, Liu Jianxiong, Zhang Tianyu

机构信息

State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China; University of Chinese Academy of Sciences, Beijing 100049, China.

State Key Laboratory of Respiratory Disease, Department of Clinical Laboratory, Guangzhou Chest Hospital, Guangzhou 510095, China.

出版信息

J Genet Genomics. 2018 Jun 18. doi: 10.1016/j.jgg.2018.06.003.

DOI:10.1016/j.jgg.2018.06.003

PMID:29941353

Abstract

Mycobacterium tuberculosis, a clinically relevant Gram-positive bacterium of great clinical relevance, is a lethal pathogen owing to its complex physiological characteristics and development of drug resistance. Several molecular genetic tools have been developed in the past few decades to study this microorganism. These tools have been instrumental in understanding how M. tuberculosis became a successful pathogen. Advanced molecular genetic tools have played a significant role in exploring the complex pathways involved in M. tuberculosis pathogenesis. Here, we review various molecular genetic tools used in the study of M. tuberculosis. Further, we discuss the applications of clustered regularly interspaced short palindromic repeat interference (CRISPRi), a novel technology recently applied in M. tuberculosis research to study target gene functions. Finally, prospective outcomes of the applications of molecular techniques in the field of M. tuberculosis genetic research are also discussed.

摘要

结核分枝杆菌是一种具有重大临床意义的革兰氏阳性菌，因其复杂的生理特性和耐药性的产生而成为致命病原体。在过去几十年里，已经开发了几种分子遗传学工具来研究这种微生物。这些工具对于理解结核分枝杆菌如何成为一种成功的病原体起到了重要作用。先进的分子遗传学工具在探索结核分枝杆菌致病过程中涉及的复杂途径方面发挥了重要作用。在此，我们综述了用于研究结核分枝杆菌的各种分子遗传学工具。此外，我们还讨论了成簇规律间隔短回文重复序列干扰（CRISPRi）的应用，这是一种最近应用于结核分枝杆菌研究以研究靶基因功能的新技术。最后，还讨论了分子技术在结核分枝杆菌基因研究领域应用的预期成果。