Epidemiology characteristics of the clonal complexes of Mycobacterium tuberculosis Lineage 4 in China
文献类型:期刊论文
作者 | Ni, Xumin3; Zhu, Chendi2,4; Li, Qing5; Jiang, Hui2,4; Liu, Jingyi6; Chen, Zhi7; He, Li8; Jia, Junnan2,4; Zhang, Zongde4; Ma, Liang1 |
刊名 | INFECTION GENETICS AND EVOLUTION
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出版日期 | 2020-10-01 |
卷号 | 84页码:7 |
关键词 | Mycobacterium tuberculosis Lineage 4 Clonal complexes Geographical distribution Epidemiology characteristics |
ISSN号 | 1567-1348 |
DOI | 10.1016/j.meegid.2020.104363 |
英文摘要 | Mycobacterium tuberculosis (M. tuberculosis) Lineage 4 (L4) is frequently prevailing in Western regions of China, where the tuberculosis incidence rate is high. However, the epidemiology characteristics of M. tuberculosis L4 in China remain poorly understood. Here, the 15-loci Variable number of tandem repeats (VNTR) patterns of 975 L4 isolates from a National Survey of Tuberculosis in China were used to construct a Minimum Spanning Tree (MST), which divided the 975 isolates into 5 major clonal complexes (CC; named CC1 to CC5). We found that the CCs of M. tuberculosis L4 were nationally distributed, geographically restricted, and different in epidemiology characteristics. For example, CC1 was mainly concentrated in East and Central China and significantly related to the farmer occupation and income of an individual (4200 yuan) (p < .05); CC5 was mainly distributed in Southwest China and was associated with ethnic minorities. Notably, using whole genome sequencing (WGS) data of 141 strains that matched our samples, we found that both CC1 and CC5 were mapped to the sublineage L4.5. Nevertheless, due to the difference of geographical distribution, the epidemiology characteristics of these CCs were largely different. We found that income and occupation significantly contributed to the odds of infection by CC1 to CC5. Consequently, our findings revealed the epidemiology characteristics of the CCs of M. tuberculosis L4, and will help in the formulation of more effective intervention measures in line with regional specifications and patient characteristics in China. |
资助项目 | Fundamental Research Funds for the Central Universities[2020RC001] ; Fundamental Research Funds for the Central Universities[2017YJS197] ; Fundamental Research Funds for the Central Universities[2018JBM320] ; National Science and Technology Major Project of China[2018ZX10302302001004] ; National Natural Science Foundation of China[U1903118] ; National Natural Science Foundation of China[11801027] ; National Key Research and Development Program[2018YFC2000300] |
WOS研究方向 | Infectious Diseases |
语种 | 英语 |
WOS记录号 | WOS:000572874800013 |
出版者 | ELSEVIER |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/52241] ![]() |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Ma, Liang; Li, Weimin |
作者单位 | 1.Chinese Acad Sci, Inst Zool, Key Lab Zool Systemat & Evolut, Beijing 100101, Peoples R China 2.Capital Med Univ, Beijing Chest Hosp, Beijing TB & Thorac Tumor Res Inst, Natl TB Clin Lab China, Beijing 101149, Peoples R China 3.Beijing Jiaotong Univ, Sch Sci, Dept Math, Beijing 100044, Peoples R China 4.Capital Med Univ, Beijing Chest Hosp, Beijing Key Lab Drug Resistance TB Res, Beijing 101149, Peoples R China 5.Capital Med Univ, Resp Med, Miyun Teaching Hosp, Beijing 101500, Peoples R China 6.Wenzhou Med Univ, Sch Lab Med & Life Sci, Zhejiang Prov Key Lab Technol & Applicat Model Or, Wenzhou 325035, Peoples R China 7.Capital Normal Univ, Sch Math Sci, Beijing 100048, Peoples R China 8.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Ni, Xumin,Zhu, Chendi,Li, Qing,et al. Epidemiology characteristics of the clonal complexes of Mycobacterium tuberculosis Lineage 4 in China[J]. INFECTION GENETICS AND EVOLUTION,2020,84:7. |
APA | Ni, Xumin.,Zhu, Chendi.,Li, Qing.,Jiang, Hui.,Liu, Jingyi.,...&Li, Weimin.(2020).Epidemiology characteristics of the clonal complexes of Mycobacterium tuberculosis Lineage 4 in China.INFECTION GENETICS AND EVOLUTION,84,7. |
MLA | Ni, Xumin,et al."Epidemiology characteristics of the clonal complexes of Mycobacterium tuberculosis Lineage 4 in China".INFECTION GENETICS AND EVOLUTION 84(2020):7. |
入库方式: OAI收割
来源:数学与系统科学研究院
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