Daniyarov Asset, Molkenov Askhat, Rakhimova Saule, Akhmetova Ainur, Yerezhepov Dauren, Chingissova Lyailya, Bismilda Venera, Toksanbayeva Bekzat, Rakisheva Anar, Akilzhanova Ainur, Kozhamkulov Ulan, Kairov Ulykbek
Laboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Laboratory of Genomic and Personalized Medicine, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan.
Front Genet. 2021 Nov 9;12:683515. doi: 10.3389/fgene.2021.683515. eCollection 2021.
Tuberculosis (TB) is an infectious disease that remains an essential public health problem in many countries. Despite decreasing numbers of new cases worldwide, the incidence of antibiotic-resistant forms (multidrug resistant and extensively drug-resistant) of TB is increasing. Next-generation sequencing technologies provide a high-throughput approach to identify known and novel potential genetic variants that are associated with drug resistance in (). There are limited reports and data related to whole-genome characteristics of drug-resistant strains circulating in Kazakhstan. Here, we report whole-genome sequencing and analysis results of eight multidrug-resistant strains collected from TB patients in Kazakhstan. Genotyping and validation of all strains by MIRU-VNTR and spoligotyping methodologies revealed that these strains belong to the Beijing family. The spectrum of specific and potentially novel genomic variants (single-nucleotide polymorphisms, insertions, and deletions) related to drug resistance was identified and annotated. ResFinder, CARD, and CASTB antibiotic resistance databases were used for the characterization of genetic variants in genes associated with drug resistance. Our results provide reference data and genomic profiles of multidrug-resistant isolates for further comparative studies and investigations of genetic patterns in drug-resistant strains.
结核病（TB）是一种传染病，在许多国家仍然是一个重要的公共卫生问题。尽管全球新发病例数量在减少，但耐抗生素形式（耐多药和广泛耐药）的结核病发病率正在上升。下一代测序技术提供了一种高通量方法，用于识别与（）中的耐药性相关的已知和新的潜在基因变异。关于哈萨克斯坦流行的耐药菌株全基因组特征的报告和数据有限。在此，我们报告了从哈萨克斯坦结核病患者中收集的8株耐多药菌株的全基因组测序和分析结果。通过MIRU-VNTR和spoligotyping方法对所有菌株进行基因分型和验证，结果显示这些菌株属于北京家族。确定并注释了与耐药性相关的特定和潜在新基因组变异（单核苷酸多态性、插入和缺失）谱。使用ResFinder、CARD和CASTB抗生素耐药性数据库对与耐药性相关基因中的遗传变异进行表征。我们的结果为进一步的比较研究和耐药菌株遗传模式调查提供了耐多药分离株的参考数据和基因组图谱。
