BMC Microbiology · 2019 · 14 citations · 17 references
Life SciencesGeneticsMicrobiologyAntimicrobial ResistanceGenomicsMicrobial GeneticsAntibiotic ResistanceBacterial InfectionsGenome SequencingNext-generation SequencingPathogen GenomicsVirulence GenomicsAntibiotic Resistance GenesDisease VirulenceResistance Gene MechanismsStrain Virulence ProfilingVirulence DeterminantsWhole Genome Sequencing StudiesWhole-genome Sequence AnalysisWhole-genome Sequencing Analysis
BACKGROUND: Methicillin-resistant Staphylococcus aureus (MRSA) is known as a leading cause of morbidity and mortality. Investigation of the MRSA's virulence and resistance mechanisms is a continuing concern toward controlling such burdens through using high throughput whole Genome Sequencing (WGS) and molecular diagnostic assays. The objective of the present study is to perform whole-genome sequencing of MRSA isolated from Sudan using Illumina Next Generation Sequencing (NGS) platform. RESULTS: The genome of MRSA strain SO-1977 consists of 2,827,644 bp with 32.8% G + C, 59 RNAs and 2629 predicted coding sequences (CDSs). The genome has 26 systems, one of which is the major class in the disease virulence and defence. A total of 83 genes were annotated to virulence disease and defence category some of these genes coding as functional proteins. Based on genome analysis, it is speculated that the SO-1977 strain has resistant genes to Teicoplanin, Fluoroquinolones, Quinolone, Cephamycins, Tetracycline, Acriflavin and Carbapenems. The results revealed that the SO-1977, strain isolated from Sudan has a wide range of antibiotic resistance compared to related strains. CONCLUSION: The study reports for the first time the whole genome sequence of Sudan MRSA isolates. The release of the genome sequence of the strain SO-1977 will avail MRSA in public databases for further investigations on the evolution of resistant mechanism and dissemination of the -resistant genes of MRSA.
17
MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0
Koichiro Tamura, Glen Stecher, Daniel S. Peterson et al. · Molecular Biology and Evolution · 2013 · 47.9K citations · Full text
BLAST+: architecture and applications
Christiam Camacho, George Coulouris, Vahram Avagyan et al. · BMC Bioinformatics · 2009 · 23.2K citations · Full text
Prodigal: prokaryotic gene recognition and translation initiation site identification
Doug Hyatt, Gwo-Liang Chen, Philip LoCascio et al. · BMC Bioinformatics · 2010 · 13.1K citations · Full text
The RAST Server: Rapid Annotations using Subsystems Technology
Ramy K. Aziz, Daniela Bartels, Aaron A. Best et al. · BMC Genomics · 2008 · 11.8K citations · Full text