Chernyaeva Ekaterina N, Shulgina Marina V, Rotkevich Mikhail S, Dobrynin Pavel V, Simonov Serguei A, Shitikov Egor A, Ischenko Dmitry S, Karpova Irina Y, Kostryukova Elena S, Ilina Elena N, Govorun Vadim M, Zhuravlev Vyacheslav Y, Manicheva Olga A, Yablonsky Peter K, Isaeva Yulia D, Nosova Elena Y, Mokrousov Igor V, Vyazovaya Anna A, Narvskaya Olga V, Lapidus Alla L, O'Brien Stephen J
St, Petersburg State University, Theodosius Dobzhansky Center for Genome Bioinformatics, 41 Sredniy prospect, St, Petersburg, Russia.
BMC Genomics. 2014 Apr 25;15:308. doi: 10.1186/1471-2164-15-308.
Tuberculosis (TB) poses a worldwide threat due to advancing multidrug-resistant strains and deadly co-infections with Human immunodeficiency virus. Today large amounts of Mycobacterium tuberculosis whole genome sequencing data are being assessed broadly and yet there exists no comprehensive online resource that connects M. tuberculosis genome variants with geographic origin, with drug resistance or with clinical outcome.
Here we describe a broadly inclusive unifying Genome-wide Mycobacterium tuberculosis Variation (GMTV) database, (http://mtb.dobzhanskycenter.org) that catalogues genome variations of M. tuberculosis strains collected across Russia. GMTV contains a broad spectrum of data derived from different sources and related to M. tuberculosis molecular biology, epidemiology, TB clinical outcome, year and place of isolation, drug resistance profiles and displays the variants across the genome using a dedicated genome browser. GMTV database, which includes 1084 genomes and over 69,000 SNP or Indel variants, can be queried about M. tuberculosis genome variation and putative associations with drug resistance, geographical origin, and clinical stages and outcomes.
Implementation of GMTV tracks the pattern of changes of M. tuberculosis strains in different geographical areas, facilitates disease gene discoveries associated with drug resistance or different clinical sequelae, and automates comparative genomic analyses among M. tuberculosis strains.
由于多重耐药菌株的出现以及与人类免疫缺陷病毒的致命合并感染,结核病在全球构成威胁。如今,大量结核分枝杆菌全基因组测序数据正在被广泛评估,但尚无一个综合在线资源将结核分枝杆菌基因组变异与地理起源、耐药性或临床结果联系起来。
在此,我们描述了一个广泛包容的统一的全基因组结核分枝杆菌变异(GMTV)数据库(http://mtb.dobzhanskycenter.org),该数据库编目了在俄罗斯各地收集的结核分枝杆菌菌株的基因组变异。GMTV包含来自不同来源的广泛数据,这些数据与结核分枝杆菌分子生物学、流行病学、结核病临床结果、分离年份和地点、耐药性谱相关,并使用专用的基因组浏览器展示全基因组的变异。GMTV数据库包含1084个基因组和超过69000个单核苷酸多态性(SNP)或插入缺失(Indel)变异,可以查询结核分枝杆菌基因组变异以及与耐药性、地理起源、临床阶段和结果的假定关联。
GMTV的实施追踪了不同地理区域结核分枝杆菌菌株的变化模式,促进了与耐药性或不同临床后遗症相关的疾病基因发现,并使结核分枝杆菌菌株之间的比较基因组分析自动化。