System OMICs analysis of Mycobacterium tuberculosis Beijing B0/W148 cluster

被引:8
作者
Bespyatykh, Julia [1 ]
Shitikov, Egor [1 ]
Guliaev, Andrei [1 ]
Smolyakov, Alexander [1 ,3 ]
Klimina, Ksenia [1 ]
Veselovsky, Vladimir [1 ]
Malakhova, Maya [1 ]
Arapidi, Georgij [1 ,2 ,3 ]
Dogonadze, Marine [4 ]
Manicheva, Olga [4 ]
Bespiatykh, Dmitry [1 ]
Mokrousovs, Igor [5 ]
Zhuravlev, Viacheslav [4 ]
Ilina, Elena [1 ]
Govorun, Vadim [1 ]
机构
[1] Fed Res & Clin Ctr Phys Chem Med, Moscow, Russia
[2] Russian Acad Sci, Shemyakin Ovchinnikov Inst Bioorgan Chem, Moscow, Russia
[3] Moscow Inst Phys & Technol, Dolgoprudnyi, Russia
[4] Res Inst Phtisiopulmonol, St Petersburg, Russia
[5] St Petersburg Pasteur Inst, St Petersburg, Russia
基金
俄罗斯科学基金会;
关键词
DRUG-RESISTANT TUBERCULOSIS; RIFAMPICIN TOLERANCE; ETHIONAMIDE; GENOTYPE; FAMILY; ACTIVATION; COMPLEX; LINEAGE; ORIGIN; SPREAD;
D O I
10.1038/s41598-019-55896-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Mycobacterium tuberculosis Beijing B0/W148 is one of the most widely distributed clusters in the Russian Federation and in some countries of the former Soviet Union. Recent studies have improved our understanding of the reasons for the "success" of the cluster but this area remains incompletely studied. Here, we focused on the system omics analysis of the RUS_B0 strain belonging to the Beijing B0/W148 cluster. Completed genome sequence of RUS_B0 (CP020093.1) and a collection ofWGS for 394 cluster strains were used to describe the main genetic features of the population. In turn, proteome and transcriptome studies allowed to confirm the genomic data and to identify a number of finds that have not previously been described. Our results demonstrated that expression of the whiB6 which contains cluster-specific polymorphism (a151c) increased almost 40 times in RUS_B0. Additionally, the level of ethA transcripts in RUS_B0 was increased by more than 7 times compared to the H37Rv. Start sites for 10 genes were corrected based on the combination of proteomic and transcriptomic data. Additionally, based on the omics approach, we identified 5 new genes. In summary, our analysis allowed us to summarize the available results and also to obtain fundamentally new data.
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页数:11
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