RT Journal Article
SR Electronic
T1 Detection of a novel mutation G511T in the 530 loop in 16S rRNA in multi drugs resistant Mycobacterium tuberculosis isolated from Sudanese patients
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 497628
DO 10.1101/497628
A1 Yousif Mohammed Alfatih
A1 Abeer Babiker Idris
A1 Hadeel Gassim Hassan
A1 Eman O M. Nour
A1 Nihad M A. Elhaj
A1 Salah-Eldin El-Zaki
A1 Muataz M. Eldirdery
A1 Rahma H. Ali
A1 Nuha Y. Ibrahim
A1 Asrar M Elegail
A1 Mohamed Ahmed Salih
YR 2018
UL http://biorxiv.org/content/early/2018/12/28/497628.abstract
AB Background Tuberculosis (TB) is a bacterial disease considered as a global public health emergency by the World Health Organization (WHO) since 1993. In Sudan, MDR-TB represents a growing threat and one of the most important challenges that faced national tuberculosis program to establish a comprehensive multidrug-resistant tuberculosis management system.Objective To characterize the diversity and frequency of mutations in Sudanese MDR-TB strains isolated from Wad Madani, Al-Gadarif and Khartoum using 16S rRNA and phylogeny approach.Material and Methods A total of 60 MDR-TB isolates from Wad-Madani, Al-Gadarif and Khartoum were tested with molecular LPA (Genotype MTBDR plus) and GeneXpert MTB/RIF assay and Spoligotyping to confirm their resistance to RIF and INH. Sequencing and phylogenetic analysis was carried out using in silico tools.Result This study revealed the circulation of different Sudanese MDR-TB strains isolated from Wad Madani and Al-Gadarif belonging to two distinct common ancestors. Two isolates from Wad Madani (isolate3 and isolate11) found in one main group which characterized by a novel mutation G511T in the 530 loop.Conclusion The recurrence of C217A mutation in Wad Madani (isolate11) indicates the spread of this mutation in Sudanese MDR-TB strains and the diversity of this inheritance leading to generate new G511T novel mutation. So, understanding the molecular characterization of resistance mechanisms in MD-TB can facilitate the early detection of resistance, the choice of appropriate treatment and ultimately the management of MD-TB transmission. Bioinformatics approaches provide helpful tools for analyzing molecular mechanisms of resistance in pathogens.