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Pangenome-wide association study reveals the selective absence of CRISPR genes (Rv2816c-19c) in drug-resistant Mycobacterium tuberculosis
被引:1
|作者:
Bhalla, Nikhil
[1
]
Nanda, Ranjan Kumar
[1
]
机构:
[1] Int Ctr Genet Engn & Biotechnol, Translat Hlth Grp, New Delhi, India
来源:
MICROBIOLOGY SPECTRUM
|
2024年
/
12卷
/
08期
关键词:
pangenome;
multidrug resistance;
antimicrobial resistant evolution;
tuberculosis;
GWAS;
DR-determinants;
gene repertoires;
EVOLUTION;
LINEAGE;
FAMILY;
CAS2;
TOOL;
D O I:
10.1128/spectrum.00527-24
中图分类号:
Q93 [微生物学];
学科分类号:
071005 ;
100705 ;
摘要:
The presence of intermittently dispersed insertion sequences and transposases in the Mycobacterium tuberculosis (Mtb) genome makes intra-genome recombination events inevitable. Understanding their effect on the gene repertoires (GR), which may contribute to the development of drug-resistant Mtb, is critical. In this study, publicly available WGS data of clinical Mtb isolates (endemic region n = 2,601; non-endemic region n = 1,130) were de novo assembled, filtered, scaffolded into assemblies, and functionally annotated. Out of 2,601 Mtb WGS data sets from endemic regions, 2,184 (drug resistant/sensitive: 1,386/798) qualified as high quality. We identified 3,784 core genes, 123 softcore genes, 224 shell genes, and 762 cloud genes in the pangenome of Mtb clinical isolates from endemic regions. Sets of 33 and 39 genes showed positive and negative associations (P < 0.01) with drug resistance status, respectively. Gene ontology clustering showed compromised immunity to phages and impaired DNA repair in drug-resistant Mtb clinical isolates compared to the sensitive ones. Multidrug efflux pump repressor genes (Rv3830c and Rv3855c) and CRISPR genes (Rv2816c-19c) were absent in the drug-resistant Mtb. A separate WGS data analysis of drug-resistant Mtb clinical isolates from the Netherlands (n = 1130) also showed the absence of CRISPR genes (Rv2816c-17c). This study highlights the role of CRISPR genes in drug resistance development in Mtb clinical isolates and helps in understanding its evolutionary trajectory and as useful targets for diagnostics development.
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