Whole-Genome Sequencing of Mycobacterium tuberculosis Isolates from Diabetic and Non-Diabetic Patients with Pulmonary Tuberculosis

被引:1
作者
Shankaregowda, Ranjitha [1 ,2 ]
Allegretti, Yuan Hu [3 ]
Sumana, Mahadevaiah Neelambike [2 ]
Rao, Morubagal Raghavendra [2 ]
Raphael, Eva [4 ]
Mahesh, Padukudru Anand [5 ]
Riley, Lee W. [1 ]
机构
[1] Univ Calif Berkeley, Sch Publ Hlth, Div Infect Dis & Vaccinol, Berkeley, CA 94720 USA
[2] JSS AHER, JSS Med Coll & Hosp, Dept Microbiol, Mysore 570015, India
[3] Univ Calif Berkeley, Sch Publ Hlth, Div Epidemiol, Berkeley, CA 94720 USA
[4] Univ Calif San Fransico, Sch Med, Div Epidemiol & Biostat, San Fransico, CA 94143 USA
[5] JSS AHER, JSS Med Coll & Hosp, Dept Resp Med, Mysore 570015, India
关键词
Mycobacterium tuberculosis; whole-genome sequencing; phylogenetic analysis; DRUG-RESISTANCE; STRAINS; DIVERSITY; MUMBAI; TOOL;
D O I
10.3390/microorganisms11081881
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The association of tuberculosis and type 2 diabetes mellitus has been a recognized re-emerging challenge in management of the convergence of the two epidemics. Though much of the literature has studied this association, there is less knowledge in the field of genetic diversities that might occur in strains infecting tuberculosis patients with and without diabetes. Our study focused on determining the extent of diversity of genotypes of Mycobacterium tuberculosis in both these categories of patients. We subjected 55 M. tuberculosis isolates from patients diagnosed with pulmonary TB with and without type 2 diabetes mellitus to whole-genome sequencing on Illumina Hi Seq platform. The most common lineage identified was lineage 1, the Indo-Oceanic lineage (n = 22%), followed by lineage 4, the Euro-American lineage (n = 18, 33%); lineage 3, the East-African Indian lineage (n = 13, 24%); and lineage 2, the East-Asian lineage (n = 1, 2%). There were no significant differences in the distribution of lineages in both diabetics and non-diabetics in the South Indian population, and further studies involving computational analysis and comparative transcriptomics are needed to provide deeper insights.
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页数:16
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