Skip to main content

First insights into molecular basis identification of 16 s ribosomal RNA gene of Staphylococcus aureus isolated from Sudan



In this study, we analyzed the molecular evolution of Staphylococcus aureus isolates using 16S rRNA gene and phylogenetic analysis to detect the prevalence of S. aureus infections in Sudan.


Molecular detection of S. aureus has shown that 20 (43.47%) of patients were positive for S. aureus. The phylogenetic tree of 16S rRNA sequences was divided into three lineages of S. aureus isolates detected from wound infections in Sudan. Nucleotides base-pair substitution was appeared at position 249. This mutation do not linked with Macrolides, Lincosamides and Streptogramines b resistant phenotype. Further studies should investigate the effect of that mutation on resistance to other antibiotics.


The increasing number of multidrug-resistant (MDR) staphylococcal infections has created the need to investigating basic questions about how genetic variations that cause antibiotic resistance evolved within the population of bacteria [1,2,3]. Consequently, in recent years, sequence analysis of the 16S rRNA gene is becoming more common as a genetic marker to confirm our understanding of Staphylococcus aureus phylogeny and taxonomy and increasingly prevalent in the clinical environment [4, 5].

In fact, the geographic linkage within S. aureus is likely a result of interfamilial transmission incorporated with rearrangement within local communities [6, 7]. Few studies have been published in Sudan on 16S rRNA gene sequencing. As described by Hassan et al. [8], who showed the significance of microbial identification and phylogenetic markers for Staphylococci species from Sudanese isolates used for taxonomy. Prior research also been explored in Sudan by Merghani et al., suggested that PCR assay with primers targeted to the 16S rRNA gene sequence offered a useful method for the identification of bacteria to the species level and differentiated one species from others [9, 10]. However, these studies cannot be considered as conclusive because the results did not correspond to the results of polyphasic taxonomy, and they found the related species cannot always be distinguished from each other [11].

Therefore, another promising line of research would be to detect the presence of mutations in 16S rRNA and investigate the conservation of S. aureus sequences. These points have never previously been addressed in Sudan and the information regarding the African population is limited. This paper addresses to understand more completely the key tenets about molecular analysis of the 16 rRNA gene and phylogeny approach of staphylococcus aureus strains isolated from Sudanese patients with wound infections [12].

Main text

Materials and methods

Clinical isolates

The study was carried out at Tow hospitals in Khartoum state: Soba University Hospital which started working in 1975 and affiliated to the University of Khartoum as the main training center for the medical students. It is affording different medical specialties and gives high grade diagnostic services through specialized units. The hospital receives patients from all states of Sudan with 500 beds capacity and the surgery departments have two general surgical units. The other is Military Hospital which present in Omdurman city and established at 1958. It represented in a complex of seven specialized hospitals totalizing 722 beds and 8 ICUs which treated patients from different regions of Sudan.

The process was accomplished in Medical Laboratory College at Khartoum University, Department of Microbiology and Molecular Biology. The study population includes patients who attended to hospitals for wound infections or post-operative surgical site infections. A questionnaire was used to collect personal and demographic data, the clinicobiologic data was collected from patient’s medical record in the selected hospitals which included age, gender, hospital unit, in/ out patient and the site of infection. Forty-six wound swabs which collected was anonymized and de-identified prior to analysis.

Bacterial identification

After the samples were received to the laboratory, they inoculated on Mannitol salt agar (Oxoid CM0085B), each isolated strains of Gram positive cocci were sub cultured on nutrient agar (Oxoid CM0 003B) and incubated at 37 ºC over night for biochemical reactions [13]. S. aureus were identified by fermentation of mannitol, colonial morphology, Gram stain, Catalase test and coagulase test using conventional methods [14].

Molecular characterization

PCR Amplification of 16S rRNA Gene

The genomic DNA of S. aureus isolates were extracted from nutrient agar plates by guanidine chloride method as described previously by Alsadig et al. [15]. Then, PCR was carried out using universal oligonucleotide primers: 27F (5′-AGAGTTTGATCCTGGCTCAG-3′) And 1492R (5′ TACGGTTACCTTGTTACGACTT-3′) [16]. The reaction mixture was included 1 μl of bacterial DNA, 22 μl of δdH2O, and l μl each primer in a final reaction volume of 25 μl. This mixture was added to the PCR master mix (GoTaq, Promega, USA) following the manufacturing guide. Then, run with a thermal cycler (SensoQuest, Germany) as follows: 30 cycles were performed in a thermocycler, each cycle has three steps of denaturation (95 °C for 1 min), annealing (54 °C for 1 min), extension (72° C for 3 min) and final extension time of 72 °C for 5 min [8]. Amplified products were analyzed by conventional electrophoresis, Bands were determined using an Imagemaster VDS image analysis system (SCIE-PIAS VISION U.K) [17]. The Sizes of the amplified products using universal primer were 1500 bp which suggesting that bands is 16S rRNA gene.

Sequencing of 16S rRNA gene

DNA purification and Standard Sanger sequencing was conducted for ten isolates which were packaged according to the National Health Research Ethics Committee authorization and following the instructions of the sequencing company (Macrogen Inc. Seoul, Korea). The sequences was submitted in NCBI:, with the accession numbers: from MT154222 to MT154231.

Bioinformatic analysis

Nucleotide sequence isolates were visualized using Finch TV program (version 1.4.0) [18]. In order to search for nucleotide sequences similarity, Genbank databases were used by online program nucleotide BLAST ( [19]. Closely related sequences were explored from NCBI and subjected to multiple sequence alignment by BioEdit program (version 7.2) [20, 21]. Gblocks was used to estimate the quality of each sequence, edit and eliminate poor quality sequences [22]. The Neighbor-Joining phylogenetic tree was carried out by MEGA software using default parameters ( [23,24,25].


Analysis of 16S rRNA sequences

10 sequences of 16S rRNA of S. aureus from Sudanese patients were characterized by PCR to investigate the mutations and their conservative nature; Products band had a clear chromatogram. Sequence analysis by BLASTn revealed similarity with few differences with S. aureus from Japan (LC508802), China (MN923027), Pakistan (MN611106), Nigeria (MN606199), Bangladesh (MN611246), Egypt (MN556575), Iraq (MN555444) and China (MN652637) as shown in Additional file 1: Table S1. Regarding mutations, the alignment of our isolated sequences showed that tow isolates (21 and 38) exhibited base-pair substitution was appeared at position 249 from A to G, Additional file 1: Figure S1(A). Multiple sequence alignment of the isolates with S. aureus Genbank strains confirmed the presence of that variation from isolates and from selected published nucleotide sequences compared with the reference strain, Additional file 1: Figure: S1(B).

Structuring of the Phylogenetic tree (maximum likelihood tree)

The cladogram graphic of a phylogenetic tree diverged into three lineages. All the Sudanese S. aureus strains clustered with strains from different countries. The 16S rRNA sequence of strains 7 and 38, although clustered with other global strains in one clade, had a novel A→G substitution at nucleotide position 249 as a kind of strain evolution. However, mutant strains 7 and 38 shared a common ancestor with strains from Japan (LC508802), Nigeria (MN606199), Germany (MF664194) and Italy (MN811085); and represented with them a separated clade with a bootstrap value of 99% as shown in Additional file 1: Figure S2.


The report found a novel strain of the 16S rRNA gene in tow isolates had not been previously reported. They shared a single nucleotide change from A to G distinguished them from the consensus sequence as a type of strain evolution. The Situation of mutant isolatesin separated branches makes it a most recent common ancestor of those groups. And revealed that the possible source of our mutant isolate is Ethiopia; this may be due that Ethiopia is the nearest country to Sudan among these countries. This agrees with similar outcomes found 16S rRNA sequencing can used to identify genetically atypical bacterial isolates from different sources [17, 26, 27].

The phylogenetic tree also exhibited different lineages of S. aureus strains detected from several hospitals in Sudan which indicated differential evolution. The isolates distributed in the three branches with those from Japan (LC508802), Nigeria (MN606199), Germany (MF664194), Italy (MN811085), Ethiopia (MK217496), Iraq (MN555444), Pakistan (MN611106), Bangladesh (MN611246), Egypt (MN556575), China (MN652637), India (MK165143) and USA (MF385261). The current results agree with previously reported study in Sudan by Mohamed et al. [28] that found genetic similarity in genomic sequence analyses of different S. aureus strains in the world in relation with isolated strains. Similar to the current study results, Raed et al. [29] indicated that genetic dimension between Iraq and the isolates of the world is extremely relative, and 16S rRNA analysis is considered a good discrimination approach for distinguishing unrelated isolates.

Today, some S. aureus strains are able to resist any known antibiotic and can cause serious infections in hospitals and the community [30]. Macrolides, Lincosamides and Streptogramines b antibiotics grouped into a single family because they share a similar binding site in subunit (23 s rRNA) of the bacterial ribosome [31,32,33]. Treatment of different infections with macrolide–lincosamide–streptogramin (MLS) antibiotics has led to resistance to these antibiotics via various mechanisms [30]. The mechanisms of resistance are mainly related to the inhibition of protein synthesis, this can be mediated by ribosomal binding site modification, active efflux mediated by msrA/B gene and enzymatic modification of antibiotics [32, 34]. Phenotypic expression of MLSB resistance in staphylococci can either inducible or constitutive which detected by D test [33].

From the short review above, we showed that the 12 (75%) iMLSB phenotype isolates prevailed over the 4 (25%) cMLSB phenotype which is slightly vary from other study performed in Sudan by Mahmoud et al. [35] which found (25.4%) of S. aureus isolates yielded inducible resistance. different results performed in Sudan by Makarem et al. [36] found all S. aureus isolates were sensitive to erythromycin antibiotic. It appears that there was no association between the occurrence of the resistant in MLSb S. aureus and 16S rRNA gene mutations. Overall this findings was in accordance with pervious findings found the amount of Methylated adenine in 16S rRNA is not affected by erythromycin [37].

Introduction of novel antimicrobials becoming a challenge to the microbiologist because of the emergence of new bacterial defense mechanisms like MLS b resistant and MRSA [38]. Using of essential oils like Atalantia sessiflora Guillaumin and galenic compound which has antibacterial and anti-inflammatory activity against multidrug-resistant strains of S. aureus were gave good results in many studies [39, 40] and its cytotoxicity effect was investigated on different cellular lines against both growing and stationary phase of S. aureus [41, 42]. Another studies discovered efflux inhibitory molecules and found the antibiotic action against resistant-S. aureus strains can inhibited by many compounds like NorA and P13CP which worked as efflux pump inhibitors [43, 44].


The phylogenetic analysis of 16S rRNA sequences identified several lineages of S. aureus isolates detected from wound infections in Sudan. The mutation which discovered in 16S rRNA region do not associated with Macrolides, Lincosamides and Streptogramines b resistant phenotype. The application future direction of this paper is using DNA sequencing and insilico analysis depending on 16S rRNA and phylogeny approach to differentiate between closely related strains and study taxonomy relationships between bacteria. Future research should consider the potential effects of that mutation on resistance to other antibiotics.


However, the approach utilized suffers from the limitations that based on small sample size, an extra search is needed to highlight the variation which may occur and cover prevalent strains in different geographic regions in Sudan to obtain more complicated evolutionary events. Additionally, using (16S rRNA) as individual indication is regarding difficult to evaluate the bacterial diversity and identifying bacterial species [45], subsequently, the resolution of 16S rRNA that is extremely restricted with relative species but not quite characteristic to distinguish correlated staphylococcal spp. Finally, the highly conserved genomes may not have enough DNA polymorphisms in these restricted sequence proposed to display alleles [46].

Availability of data and materials

The datasets used and analysed during the current study available from the corresponding author on reasonable request.


  1. 1.

    Gajdács MJA. The continuing threat of methicillin-resistant Staphylococcus aureus. Antibiotics. 2019;8(2):52.

    Article  Google Scholar 

  2. 2.

    Schaechter M. Desk encyclopedia of microbiology.

  3. 3.

    Petit RA, Read TDJP. Staphylococcus aureus viewed from the perspective of 40,000+ genomes, vol. 6. Cambridge: Academic Press; 2018. p. e5261.

    Google Scholar 

  4. 4.

    Kawasaki S, Fratamico PM, Wesley IV, Kawamoto S. Species-specific identification of campylobacters by PCR-restriction fragment length polymorphism and PCR targeting of the gyrase B gene. Appl Environ Microbiol. 2008;74(8):2529–33.

    CAS  Article  Google Scholar 

  5. 5.

    Janda JM, Abbott SL. 16S rRNA gene sequencing for bacterial identification in the diagnostic laboratory: pluses, perils, and pitfalls. J Clin Microbiol. 2007;45(9):2761–4.

    CAS  Article  Google Scholar 

  6. 6.

    Mamoun M, Enan EK, Abdo AE, Hassan MA. Molecular identification of 16s ribosomal RNA gene of Helicobacter pylori isolated from gastric biopsies in Sudan. Am J Microbiol Res. 2015;3(2):50–4.

    Google Scholar 

  7. 7.

    Szymanek-Majchrzak K, Mlynarczyk A, Bilinska M, Rownicki M, Majchrzak K, Chmura A, Kwiatkowski A, Durlik M, Deborska-Materkowska D, Paczek L, Mlynarczyk G. Effect of selective antibiotic pressure on the MLS-B phenotype in methicillin-resistant Staphylococcus aureus strains originating from patients from transplantation wards: 24 years of observations. In: Transplantation proceedings. Elsevier. 2018, vol. 50, No. 7, pp. 2164–9.

  8. 8.

    Alfatih YM, Idris AB, Hassan HG, Nour EO, Elhaj NM, El-Zaki SE, Eldirdery MM, Ali RH, Ibrahim NY, Elegail AM, Salih MA. Detection of a novel mutation G511T in the 530 loop in 16S rRNA in multi drugs resistant Mycobacterium tuberculosis isolated from Sudanese patients. BioRxiv. 2018;1:497628.

    Google Scholar 

  9. 9.

    Merghani EAE, et al. Identification of bacterial pathogens isolated from haemodialysis patients using VITEK 2 compact system and their antibiotic susceptibility; 2016.

  10. 10.

    Coutinho VD, Paiva RM, Reiter KC, de-Paris F, Barth AL, Machado AB. Distribution of erm genes and low prevalence of inducible resistance to clindamycin among staphylococci isolates. Braz J Infect Dis 2010;14(6):564–8.

  11. 11.

    Mamoun MJAJ. Molecular identification of 16s ribosomal RNA gene of Helicobacter pylori isolated from gastric biopsies in Sudan. Am J Microbiol Res. 2015;3(2):50–4.

    Google Scholar 

  12. 12.

    Ayeni FA, Odumosu BT. False identification of other microorganisms as Staphylococcus aureus in Southern Nigeria. Trop J Pharm Res. 2016;15(9):1941–5.

    Article  Google Scholar 

  13. 13.

    Gajdács M, Zsoldiné UE. Epidemiology and resistance trends of Staphylococcus aureus isolated from vaginal samples: a 10-year retrospective study in Hungary. Acta Dermatovenerologica Alpina, Pannonica et Adriatica. 2019;28(4):143–7.

    Article  Google Scholar 

  14. 14.

    MacFaddin JF. Pruebas bioquímicas para la identificación de bacterias de importancia clínica. Ed. Médica Panamericana; 2003.

  15. 15.

    Gassoum A, Arbab MA, Aldeaf SA, Elhassan LA, Elshibli E, Elhassan AM. Allele frequency of P53 gene Arg72Pro in Sudanese meningioma patients and controls. Int J Sci Technol Res. 2014;3(6):243–8.

    Google Scholar 

  16. 16.

    Liu W, Sun Z, Zhang J, Gao W, Wang W, Wu L, Sun T, Chen W, Liu X, Zhang H. Analysis of microbial composition in acid whey for dairy fan making in Yunnan by conventional method and 16S rRNA sequencing. Curr Microbiol. 2009;59(2):199–205.

    CAS  Article  Google Scholar 

  17. 17.

    Idris AB, Hassan HG, Ali MA, Eltaher SM, Idris LB, Altayb HN, Abass AM, Ibrahim MM, Ibrahim EA, Hassan MA. Molecular phylogenetic analysis of 16S rRNA sequences identified two lineages of H. pylori strains detected from different regions in Sudan suggestive of differential evolution. BioRxiv; 2019.

  18. 18.

    Ozdilek A, Cengel B, Kandemir G, Tayanc Y, Velioglu E, Kaya Z. Molecular phylogeny of relict-endemic Liquidambar orientalis Mill based on sequence diversity of the chloroplast-encoded mat K gene. Plant Syst Evol. 2012;298(2):337–49.

    Article  Google Scholar 

  19. 19.

    Donkor ES, Dayie NT, Adiku TK. Bioinformatics with basic local alignment search tool (BLAST) and fast alignment (FASTA). J Bioinformatics Sequence Anal. 2014;6(1):1–6.

    Article  Google Scholar 

  20. 20.

    Hall T, Biosciences I, Carlsbad C. BioEdit: an important software for molecular biology. GERF Bull Biosci. 2011;2(1):60–1.

    Google Scholar 

  21. 21.

    McWilliam H, Li W, Uludag M, Squizzato S, Park YM, Buso N, Cowley AP, Lopez R. Analysis tool web services from the EMBL-EBI. Nucleic Acids Res. 2013;41(W1):W597-600.

    Article  Google Scholar 

  22. 22.

    Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000;17(4):540–52.

    CAS  Article  Google Scholar 

  23. 23.

    Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33(7):1870–4.

    CAS  Article  Google Scholar 

  24. 24.

    Osman NA, Alrayah IE, Mohamed YM, El-Eragi A, Eldirdery M, Salih M. Molecular study of Panton-Valentine Leukocidin genes among Staphylococcus aureus clinical isolates in Khartoum State, Sudan. Am J Microbiol Res. 2015;3(3):107–11.

    Google Scholar 

  25. 25.

    Stecher G, Tamura K, Kumar S. Molecular evolutionary genetics analysis (MEGA) for macOS. Mol Biol Evol. 2020;37(4):1237–9.

    CAS  Article  Google Scholar 

  26. 26.

    Zakerbostanabad S. Molecular characterization of Staphylococcus aureus isolated from clinical samples based on 16srRNA, rpoB and hsp70 genes by MLSA. J Infect Public Health. 2019;5:27–38.

    Google Scholar 

  27. 27.

    Matuszewska M, et al. The evolutionary genomics of host specificity in Staphylococcus aureus. Trends Microbiol. 2020;28(6):465–77.

    CAS  Article  Google Scholar 

  28. 28.

    Ali MS, Isa NM, Abedelrhman FM, Alyas TB, Mohammed SE, Ahmed AE, Ahmed ZS, Lau NS, Garbi MI, Amirul AA, Seed AO. Genomic analysis of methicillin-resistant Staphylococcus aureus strain SO-1977 from Sudan. BMC Microbiol. 2019;19(1):126.

    Article  Google Scholar 

  29. 29.

    Al-Obaidi MM, Suhaili Z, Desa MN. Genotyping approaches for identification and characterization of Staphylococcus aureus. IntechOpen: London. 2018, p. 85.

  30. 30.

    Gupta SK, Sharma P, Barrett JB, Hiott LM, Woodley TA, Frye JG, Jackson CR. Draft genome sequence of a human-associated streptogramin-resistant Staphylococcus aureus. J Glob Antimicrob Resist. 2019;16:72–3.

    Article  Google Scholar 

  31. 31.

    Bailey AM, Ivens A, Kingsley R, Cottell JL, Wain J, Piddock LJ. RamA, a member of the AraC/XylS family, influences both virulence and efflux in Salmonella enterica serovar Typhimurium. J Bacteriol. 2010;192(6):1607–16.

    CAS  Article  Google Scholar 

  32. 32.

    Igrejas G, Capelo JL, Gonçalves A, Poeta P, editors. Surveying antimicrobial resistance: approaches, issues, and challenges to overcome. Frontiers Media SA; 2017

  33. 33.

    Mayers DL et al. Antimicrobial drug resistance: mechanisms of drug resistance, vol. 1. 2017; Berlin: Springer.

  34. 34.

    Hetem DJ. Transmission dynamics and resistance in staphylococci (Doctoral dissertation, Utrecht University). 2015.

  35. 35.

    Mahmoud AM, Albadawy HS, Bolis SM, Bilal NE, Ahmed AO, Ibrahim ME. Inducible clindamycin resistance and nasal carriage rates of Staphylococcus aureus among healthcare workers and community members. Afr Health Sci. 2015;15(3):861–7.

    Article  Google Scholar 

  36. 36.

    Salih MA, Abdalla AM, Masri MAR. Detection of erythromycin resistance genes erm (A), erm (B), erm (C) and msr (A) in staphylococcus nasal carriers in Khartoum State.

  37. 37.

    Lai C, Weisblum BJP. Altered methylation of ribosomal RNA in an erythromycin-resistant strain of Staphylococcus aureus. Proc Natl Acad Sci. 1971;68(4):856–60.

    CAS  Article  Google Scholar 

  38. 38.

    Gajdács M, Albericio F. Antibiotic resistance: from the bench to patients. Antibiotics. 2019;8:129.

    Article  Google Scholar 

  39. 39.

    Weaver JR, Pattee PJJ. Inducible resistance to erythromycin in Staphylococcus aureus. J Bacteriol. 1964;88(3):574–80.

    CAS  Article  Google Scholar 

  40. 40.

    Mazzarello V, et al. Clinical assessment of new topical cream containing two essential oils combined with tretinoin in the treatment of acne. Clin Cosmet Investig Dermatol. 2020;13:233.

    CAS  Article  Google Scholar 

  41. 41.

    Xiao S, et al. Identification of essential oils with activity against stationary phase Staphylococcus aureus. BMC Compl Med Ther. 2020;20(1):1–10.

    Article  Google Scholar 

  42. 42.

    Bua A, et al. Antimicrobial activity of Austroeupatorium inulaefolium (HBK) against intracellular and extracellular organisms. Nat Prod Res. 2018;32(23):2869–71.

    CAS  Article  Google Scholar 

  43. 43.

    Monteiro KL, de Aquino TM, Mendonça Junior FJ. An update on Staphylococcus aureus NorA efflux pump inhibitors. Curr Top Med Chem. 2020;20(24):2168–85.

    Article  Google Scholar 

  44. 44.

    Usai D, et al. Enhancement of antimicrobial activity of pump inhibitors associating drugs. J Infect Dev Count. 2019;13(02):162–4.

    CAS  Article  Google Scholar 

  45. 45.

    Konstantinidis KT, Ramette A, Tiedje JMJ. The bacterial species definition in the genomic era. Biol Sci. 2006;361(1475):1929–40.

    Article  Google Scholar 

  46. 46.

    Al-Obaidi MM, Suhaili Z, Desa MN. Genotyping approaches for identification and characterization of Staphylococcus aureus. IntechOpen: London; 2018.

    Book  Google Scholar 

Download references


The authors kindly thank the patients who participated in the study and the staff of Soba teaching hospital and Military hospital for their support in sample collection. And also we acknowledge Dr. Muzamil Abdel Hamid from institute of endemic diseases for his support.


The authors received no specific funding for this work.

Author information




The authors confirm contribution to the paper as follows: analysis and interpretation of results: MG; verified the analytical methods: AB; study conception and design: NB; supervised the findings of this work: MH. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Manal A. Gumaa.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the National Health Research Ethics Committee authorization and University of Khartoum.

Consent for publication

Not applicable.

Competing interests

The authors declare that there are no conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

BLAST result of 16S rRNA gene: Sequencing ID in a gene bank, and compatibility of DNA sequences obtained from National Center Biotechnology Information (NCBI). Figure: S1. (A) Base pair substitution at position 249 from A to G which illustrated by arrows. Chromatograms edited using Finch TV software (B): Sequence alignment of 16S rRNA gene. Figure S2. Neighbour-joining and Maximum Parsimony trees based on the concatenated sequences of the 16S rRNA gene among S. aureus clinical isolates

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Gumaa, M.A., Idris, A.B., Bilal, N.E. et al. First insights into molecular basis identification of 16 s ribosomal RNA gene of Staphylococcus aureus isolated from Sudan. BMC Res Notes 14, 240 (2021).

Download citation


  • Staphylococcus aureus
  • 16S rRNA gene
  • Phylogenetic tree