Mahdis Ghavidel1,2, Keyvan Tadayon3, Nader Mosavari4, Kimiya Nourian5, Hamid Reza BahramiTaghanaki6, Gholam Reza Mohammadi7, Mohammad Rashtibaf8, Kiarash Ghazvini1,2. 1. Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. 2. Department of Microbiology and Virology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. 3. Department of Microbiology, Razi Vaccine and Serum Research Institute (RVSRI), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran. 4. PPD Tuberculin Department, Razi Vaccine and Serum Research Institute, (RVSRI), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran. 5. Doctor of Veterinary Medicine, Graduate Student of School of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad, Iran. 6. School of Persian Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. 7. Department of Clinical Sciences, School of Veterinary Medicine, Ferdowsi University of Mashhad, Mashhad - Iran. 8. Deputy of Veterinary administration of Khorasan Razavi Province, Mashhad,Iran.
Abstract
BACKGROUND: Tuberculosis (TB) still remains endemic worldwide making epidemiological studies essential to mitigating efforts implicated in identifying its source, controlling, and preventing the spread of dangerous strains amongst humans such as Mycobacterium tuberculosis (Mtb). METHODS: In this study, we sought to determine the 6 Mycobacterial Interspersed Repetitive Unit-Variable-Number Tandem Repeat (MIRU-VNTR) loci with high discriminatory powers for Mtb genotyping as well as the loci with the highest and the lowest discriminatory powers for MIRU-VNTR. To conduct our search, we used several databases such as science direct, Embase (Elsevier), Web of Science, Scopus and Medline via PubMed. Searches were performed using key words including: Mycobacterium tuberculosis, MIRU-VNTR, Allele diversity, Genetic diversity and human patient. Finally, 56 articles were selected after filtering out titles, abstracts and full texts. RESULTS: Loci with high discriminatory powers included MIRU10 and MIRU26, while MIRU2, MIRU20, MIRU24 and ETRD had poor discriminatory powers. According to previous data in the literature, the loci MIRU10, MIRU26, MIRU40, QUB 26, QUB 11b and Mtub21 have high discriminatory powers. CONCLUSION: Therefore, these loci recommended for genotyping Mtb to save time and cost and to ensure the production of reliable results.
BACKGROUND: Tuberculosis (TB) still remains endemic worldwide making epidemiological studies essential to mitigating efforts implicated in identifying its source, controlling, and preventing the spread of dangerous strains amongst humans such as Mycobacterium tuberculosis (Mtb). METHODS: In this study, we sought to determine the 6 Mycobacterial Interspersed Repetitive Unit-Variable-Number Tandem Repeat (MIRU-VNTR) loci with high discriminatory powers for Mtb genotyping as well as the loci with the highest and the lowest discriminatory powers for MIRU-VNTR. To conduct our search, we used several databases such as science direct, Embase (Elsevier), Web of Science, Scopus and Medline via PubMed. Searches were performed using key words including: Mycobacterium tuberculosis, MIRU-VNTR, Allele diversity, Genetic diversity and human patient. Finally, 56 articles were selected after filtering out titles, abstracts and full texts. RESULTS: Loci with high discriminatory powers included MIRU10 and MIRU26, while MIRU2, MIRU20, MIRU24 and ETRD had poor discriminatory powers. According to previous data in the literature, the loci MIRU10, MIRU26, MIRU40, QUB 26, QUB 11b and Mtub21 have high discriminatory powers. CONCLUSION: Therefore, these loci recommended for genotyping Mtb to save time and cost and to ensure the production of reliable results.
Authors: Mailis Maes; Kristin Kremer; Dick van Soolingen; Howard Takiff; Jacobus H de Waard Journal: Tuberculosis (Edinb) Date: 2008-06-02 Impact factor: 3.131
Authors: Yang Li; Yi Hu; Mikael Mansjö; Qi Zhao; Weili Jiang; Solomon Ghebremichael; Sven Hoffner; Biao Xu Journal: Int J Environ Res Public Health Date: 2018-04-17 Impact factor: 3.390
Authors: Emilyn Costa Conceição; Richard Steiner Salvato; Karen Machado Gomes; Arthur Emil Dos Santos Guimarães; Marília Lima da Conceição; Ricardo José de Paula Souza E Guimarães; Abhinav Sharma; Ismari Perini Furlaneto; Regina Bones Barcellos; Valdes Roberto Bollela; Lívia Maria Pala Anselmo; Maria Carolina Sisco; Cristina Viana Niero; Lucilaine Ferrazoli; Guislaine Refrégier; Maria Cristina da Silva Lourenço; Harrison Magdinier Gomes; Artemir Coelho de Brito; Marcos Catanho; Rafael Silva Duarte; Philip Noel Suffys; Karla Valéria Batista Lima Journal: Mem Inst Oswaldo Cruz Date: 2021-03-15 Impact factor: 2.743