| Title: | First insight into the genetic population structure of Mycobacterium tuberculosis isolated from pulmonary tuberculosis patients in Egypt |
| Authors: | Diab, Hassan Mahmoud Browse this author |
| Nakajima, Chie Browse this author →KAKEN DB |
| Kotb, Saber A. Browse this author |
| Mokhtar, Alaa Browse this author |
| Khder, Nagwa F.M. Browse this author |
| Abdelaal, Ahmed S.A. Browse this author |
| Hegazy, Azza Browse this author |
| Poudel, Ajay Browse this author |
| Shah, Yogendra Browse this author |
| Suzuki, Yasuhiko Browse this author →KAKEN DB |
| Keywords: | Genotyping |
| MTB lineages |
| Egypt |
| Issue Date: | Jan-2016 |
| Publisher: | Elsevier |
| Journal Title: | Tuberculosis |
| Volume: | 96 |
| Start Page: | 13 |
| End Page: | 20 |
| Publisher DOI: | 10.1016/j.tube.2015.11.002 |
| PMID: | 26786649 |
| Abstract: | The present study aimed to assess the population structure of Mycobacterium tuberculosis (MTB) isolates from Egypt. A total of 230 MTB isolates were analysed using spoligotyping, large sequence polymorphism (LSPs), mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing and multi-locus sequence typing (MLST). The majority of isolates (93.0%) belonged to lineage 4, including 44.3, 13.4 and 10.8% of the ill-defined T clade, LAM and Haarlem families, respectively, and lineage 3 was identified in 7.0% of the isolates. MIRU-VNTRs typing allowed efficient discrimination of the spoligotype-defined clusters, including spoligo-international types (SIT) 53, 34, and 4, into 56 patterns, including 13 clusters and 43 unique patterns. A new SNP at position 311614 was identified in all six isolates to form the biggest MIRU-VNTR cluster, which suggested a recent clonal expansion. This SNP could possibly be used as a genetic marker for robust discriminations of Egyptian MTB isolates belonging to SIT53. The combination of spoligotyping, 12 MIRU-VNTRs loci and MLST provided insight into the genetic diversity and transmission dynamics of the Egyptian MTB genotypes and could be a key to implementation of effective control measures by public health authorities. |
| Rights: | ©2015, Elsevier. This manuscript version is made available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/68587 |
| Appears in Collections: | 国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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