The Intercontinental ‘Omics’ mining of Antibiotic Resistant Genes in Mycobacterium tuberculosis
Aderibigbe, T., Micheal, A. (2022). The Intercontinental ‘Omics’ mining of Antibiotic Resistant Genes in Mycobacterium tuberculosis. EKB Journal Management System, 3(2), 428-433. doi: 10.21608/mid.2021.73675.1145
Taiwo Aderibigbe; Adeoti Micheal. "The Intercontinental ‘Omics’ mining of Antibiotic Resistant Genes in Mycobacterium tuberculosis". EKB Journal Management System, 3, 2, 2022, 428-433. doi: 10.21608/mid.2021.73675.1145
Aderibigbe, T., Micheal, A. (2022). 'The Intercontinental ‘Omics’ mining of Antibiotic Resistant Genes in Mycobacterium tuberculosis', EKB Journal Management System, 3(2), pp. 428-433. doi: 10.21608/mid.2021.73675.1145
Aderibigbe, T., Micheal, A. The Intercontinental ‘Omics’ mining of Antibiotic Resistant Genes in Mycobacterium tuberculosis. EKB Journal Management System, 2022; 3(2): 428-433. doi: 10.21608/mid.2021.73675.1145

The Intercontinental ‘Omics’ mining of Antibiotic Resistant Genes in Mycobacterium tuberculosis

Microbes and Infectious Diseases
Article 22, Volume 3, Issue 2, May 2022, Page 428-433  XML PDF (350.1 K)
Document Type: Original Article
DOI: 10.21608/mid.2021.73675.1145
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Authors
Taiwo Aderibigbe1; Adeoti Micheal email 2
1Department of Science Laboratory Technology, Microbiology Unit, The Oke Ogun Polytechnic, Saki Oyo State Nigeria
2Science Laboratory Technology, Faculty of Science, Biological Sciences Unit, The Oke Ogun Polytechnic, Saki. Department of Zoology, Cellular Parasitology Programme, University of Ibadan, Nigeria
Abstract
Background: By the year 2030, it will be seven more times difficult and seven times more of 14,600 pills to treat one person with drug resistant tuberculosis (TB) if we fail in the use of ‘Omics therapy’. A curated database of the National Centre for Biotechnology Institute (NCBI): Comprehensive Antibiotic Resistance Database (CARD) provides high-through-put referenced information on antibiotics resistance.Methods:This study employed a less expensive but high accuracy software-based approach; Comprehensive Antibiotics Resistance Database to identify the resistance genes within the genomes of Mycobacterium tuberculosis across the five continents. Thirty complete genomes of Mycobacterium tuberculosis were retrieved and their respective accession numbers and locations were categorized into Perfect and Strict genes. Results: The least number of Mycobacterium tuberculosis complete genome sequences were retrieved from the America followed by Antarctica and Africa with 10%, 10%, 25% prevalence respectively. The continents with the highest number of sequences were Asia and Europe which account for 25% and 33.3% respectively. The prevalence of genes categorized under the strict category from CARD database with mdsB, mdsA, AAC(6')-Iaa, sdiA, golS TEM-1, tetW , ANT(4')-Ib, had 100% prevalence each (present in all the 30 complete genome sequences retrieved), arlR, arlS, mepR, mgrA had the prevalence rates of 25%, each, mepA, Lmrs, FosB had the prevalence rates of 33.3% each.
Keywords
Omics; CARD; Mycobacterium tuberculosis; Multi-Drugs Resistant; Whole Genome Sequence
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