Isolation, identification and comparative analysis of 16S rRNA of Multidrug-resistant Bacteria Clinically isolated from Al Qassim Region Hospitals in Saudi Arabia
DOI:
https://doi.org/10.22317/jcms.v9i2.1337Keywords:
Multidrug-resistant, Molecular identification, RNA, Ribosomal, 16S, Polymerase Chain ReactionAbstract
Objective: This study concluded that the antibiotic resistance and gene transfer across bacterial strains in the hospital setting are two possible explanations for the observed sequence changes in the target microorganisms.
Methods: The 16S rDNA genes of all isolates were effectively amplified using PCR, and detailed identification results were derived from GenBank databases. The BLAST search resulted in the classification of 28 isolates into five strains. The GC content of bacterial sequences varies greatly between single species.
Results: 16S rDNA was utilized to identify bacterial species from isolates strains results demonstrated that identification of bacterial strains. Sequences varied between and within strains, also, variation are noticed in genomic nucleotide content of isolated and identified strains. Results of the present study demonstrated that the observed heterogeneity in the sequences of our target bacterial strains may be linked to antibiotic resistance and gene transfer between bacteria that evolved as a result of the hospital environment.
Conclusion: This study concluded that antibiotic-resistant bacteria are capable of transferring copies of their DNA encoding a resistance mechanism to other bacteria, even those that are distantly related to them. the observed heterogeneity in the sequences of our target bacterial strains may be linked to antibiotic resistance and gene transfer between bacteria that evolved as a result of the hospital environment.
References
Poole K. Multidrug efflux pumps and antimicrobial resistance in Pseudomonas aeruginosa and related organisms. J Mol Microbiol Biotechnol. 3:255–264.
Aslam B, Wang W, Arshad MI, et al. Antibiotic resistance: a rundown of a global crisis. Infect Drug Resist. 2018;11:1645-1658.
Andersson DI, Balaban NQ, Baquero F, et al. Antibiotic resistance: turning evolutionary principles into clinical reality. FEMS Microbiol Rev. 2020;44(2):171-188.
Clarridge JE. Impact of 16S rRNA Gene Sequence Analysis for Identification of Bacteria on Clinical Microbiology and Infectious Diseases. Clin Microbiol Rev. 2004;17(4):840-862.
Sabir JS, Salah Said AA, Hussein MM. Rayah Al-Saud, Mutwakil Mohammed N. Isolation, identification and RAPD-PCR analysis of new isolated Bacillus thuringensis. Life Sci J. 2013;10:1352-1361.
Larkin MA, Blackshields G, Brown NP, et al. Clustal W and Clustal X version 2.0. bioinformatics. 2007;23(21):2947-2948.
Wallace BC, Lajeunesse MJ, Dietz G, et al. Open MEE: Intuitive, open‐source software for meta‐analysis in ecology and evolutionary biology. Methods Ecol Evol. 2017;8(8):941-947.
Alsanie WF, Felemban EM, Farid MA, Hassan MM, Sabry A, Gaber A. Molecular identification and phylogenetic analysis of multidrug-resistant bacteria using 16S rDNA sequencing. J Pure Appl Microbiol. 2018;12(2):489-496.
Zhang J, Jiao T, Zhao S. Genetic diversity in the mitochondrial DNA D-loop region of global swine (Sus scrofa) populations. Biochem Biophys Res Commun. 2016;473(4):814-820.
Lynch M, Crease TJ. The analysis of population survey data on DNA sequence variation. Mol Biol Evol. 1990;7(4):377-394.
Hildebrand F, Meyer A, Eyre-Walker A. Evidence of selection upon genomic GC-content in bacteria. PLoS Genet. 2010;6(9):e1001107.
Mann S, Chen Y-PP. Bacterial genomic G+ C composition-eliciting environmental adaptation. Genomics. 2010;95(1):7-15.
Hutter S, Vilella AJ, Rozas J. Genome-wide DNA polymorphism analyses using VariScan. BMC Bioinformatics. 2006;7(1):1-10.
Nei M. Molecular Evolutionary Genetics. Columbia university press; 1987.
Hussain T. Pakistan at the verge of potential epidemics by multi-drug resistant pathogenic bacteria. Adv Life Sci. 2015;2(2):46-47.
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