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Comparison of Treponema pallidum genomes for the prediction of resistance genes

  • Ronaldo Omizolo De Souza
  • Kesia Esther da Silva
  • Rodrigo Matheus Pereira
  • Simone SimionattoEmail author
Brief communication
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Abstract

Syphilis is a sexually transmitted infection caused by Treponema pallidum, which is highly prevalent in several countries, including Brazil. The use of bioinformatics’ tools for the identification of resistance genes is an important practice for the study of microorganisms, such as T. pallidum. In this study, the complete genomes of 43 strains of T. pallidum, isolated from different countries, were analyzed. A total of 41,514 sequences were obtained, and compared against prokaryote resistance gene databases using BLASTn, BLASTx and RGI for gene alignment and prediction. From the alignments, it was possible to identify antibiotic resistance genes for each strain. The genes identified in each comparison were grouped according to the antibiotic category in which they show resistance to. The antibiotic-resistant genes related to drugs used to treat syphilis were grouped separately. The in silico tools used have shown to be effective in identifying resistance genes in genomes of T. pallidum strains. Due to the lack of research and accurate information regarding the antibiotic resistance genes in T. pallidum, this study serves as a basis for studies in molecular biology whose aim is the identification of these genes, besides being a reference to help in the control and treatment of this infection.

Keywords

Bioinformatics genomes molecular biology resistance genes syphilis 

Notes

Acknowledgements

This work was partially supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq grant 440245/2018-4), Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul (FUNDECT grants 092/2015 and 041/2017), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, grant 001) and Universidade Federal da Grande Dourados (UFGD). KES received a scholarship from CAPES.

Supplementary material

12038_2019_9855_MOESM1_ESM.docx (25 kb)
Supplementary material 1 (DOCX 25 kb)

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Copyright information

© Indian Academy of Sciences 2019

Authors and Affiliations

  • Ronaldo Omizolo De Souza
    • 1
  • Kesia Esther da Silva
    • 1
  • Rodrigo Matheus Pereira
    • 2
  • Simone Simionatto
    • 1
    Email author
  1. 1.Laboratório de Pesquisa em Ciências da Saúde, Universidade Federal da Grande Dourados - UFGDDouradosBrazil
  2. 2.Faculdade de Ciências Biológicas e Ambientais, Universidade Federal da Grande Dourados - UFGDDouradosBrazil

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