Molecular identification of Nocardia species using the sod A gene: Identificación molecular de especies de Nocardia utilizando el gen sodA
- PMID: 28794885
- PMCID: PMC5547243
- DOI: 10.1016/j.nmni.2017.03.008
Molecular identification of Nocardia species using the sod A gene: Identificación molecular de especies de Nocardia utilizando el gen sodA
Abstract
Currently for bacterial identification and classification the rrs gene encoding 16S rRNA is used as a reference method for the analysis of strains of the genus Nocardia. However, it does not have enough polymorphism to differentiate them at the species level. This fact makes it necessary to search for molecular targets that can provide better identification. The sodA gene (encoding the enzyme superoxide dismutase) has had good results in identifying species of other Actinomycetes. In this study the sodA gene is proposed for the identification and differentiation at the species level of the genus Nocardia. We used 41 type species of various collections; a 386 bp fragment of the sodA gene was amplified and sequenced, and a phylogenetic analysis was performed comparing the genes rrs (1171 bp), hsp65 (401 bp), secA1 (494 bp), gyrB (1195 bp) and rpoB (401 bp). The sequences were aligned using the Clustal X program. Evolutionary trees according to the neighbour-joining method were created with the programs Phylo_win and MEGA 6. The specific variability of the sodA genus of the genus Nocardia was analysed. A high phylogenetic resolution, significant genetic variability, and specificity and reliability were observed for the differentiation of the isolates at the species level. The polymorphism observed in the sodA gene sequence contains variable regions that allow the discrimination of closely related Nocardia species. The clear specificity, despite its small size, proves to be of great advantage for use in taxonomic studies and clinical diagnosis of the genus Nocardia.
Actualmente, para la identificación y clasificación bacteriana se utiliza como método de referencia la secuenciación el gen rrs que codifica al rRNA16S, en el caso del análisis de cepas del género Nocardia, sin embargo, no tiene el suficiente polimorfismo para diferenciarlas a nivel de especie lo que hace necesaria la búsqueda de blancos moleculares que puedan proporcionar una mejor identificación. El gen sodA (que codifica la enzima superóxido dismutasa) ha tenido buenos resultados en la identificación de especies de otros Actinomicetos. En este estudio se propone para la identificación y diferenciación a nivel de especie del género Nocardia. Se utilizaron 41 especies Tipo de diversas colecciones, se amplificó y secuenció un fragmento de 386 pb del gen sodA y se realizó un análisis filogenético comparando los genes rrs (1171 pb) hsp65(401pb) secA1 (494pb), gyrB (1195pb) y rpoB (401pb), las secuencias fueron alineadas utilizando el programa Clustal X, los árboles evolutivos de acuerdo con el método de “Neighbor-Joining”se hicieron con el programa Phylo_win y Mega 6. Se analizó la variabilidad específica del gen sodA del género Nocardia presentando una alta resolución filogenética, una variabilidad genética importante, especificidad y confiabilidad para la diferenciación de los aislados a nivel de especie. El polimorfismo observado en la secuencia del gen sodA contiene regiones variables que posibilitan la discriminación de especies de Nocardia estrechamente relacionadas, y una clara especificidad, a pesar de su pequeño tamaño, demostrando ser de gran ventaja para utilizarse en estudios taxonómicos y en el diagnóstico clínico del género Nocardia.
Keywords: Nocardia; hsp65; polymorphism; rrs; sodA.
Figures












Similar articles
-
Dissection of phylogenetic relationships among 19 rapidly growing Mycobacterium species by 16S rRNA, hsp65, sodA, recA and rpoB gene sequencing.Int J Syst Evol Microbiol. 2004 Nov;54(Pt 6):2095-2105. doi: 10.1099/ijs.0.63094-0. Int J Syst Evol Microbiol. 2004. PMID: 15545441
-
Analysis of secA1 gene sequences for identification of Nocardia species.J Clin Microbiol. 2006 Aug;44(8):2760-6. doi: 10.1128/JCM.00155-06. J Clin Microbiol. 2006. PMID: 16891489 Free PMC article.
-
Molecular identification and phylogenetic relationships of clinical Nocardia isolates.Antonie Van Leeuwenhoek. 2019 Dec;112(12):1755-1766. doi: 10.1007/s10482-019-01296-2. Epub 2019 Jul 26. Antonie Van Leeuwenhoek. 2019. PMID: 31350617
-
Comparison of restriction enzyme pattern analysis and full gene sequencing of 16S rRNA gene for Nocardia species identification, the first report of Nocardia transvalensis isolated of sputum from Iran, and review of the literature.Antonie Van Leeuwenhoek. 2016 Oct;109(10):1285-98. doi: 10.1007/s10482-016-0746-x. Epub 2016 Sep 9. Antonie Van Leeuwenhoek. 2016. PMID: 27613736 Review.
-
[Recent progress in taxonomic studies on pathogenic nocardia and usefulness of the bacteria for the studies on secondary metabolites and antibiotic resistant mechanisms].Nihon Ishinkin Gakkai Zasshi. 2010;51(4):179-92. doi: 10.3314/jjmm.51.179. Nihon Ishinkin Gakkai Zasshi. 2010. PMID: 21060211 Review. Japanese.
Cited by
-
Microbial risk assessment of Nocardia cyriacigeorgica in polluted environments, case of urban rainfall water.Comput Struct Biotechnol J. 2020 Dec 29;19:384-400. doi: 10.1016/j.csbj.2020.12.017. eCollection 2021. Comput Struct Biotechnol J. 2020. PMID: 33489008 Free PMC article.
-
Population-based microbiological characterization of Nocardia strains causing invasive infections during a multiyear period in a large Canadian healthcare region.Microbiol Spectr. 2025 Aug 5;13(8):e0091425. doi: 10.1128/spectrum.00914-25. Epub 2025 Jul 7. Microbiol Spectr. 2025. PMID: 40621909 Free PMC article.
-
Nocardia neocaledoniensis as Rare Cause of Spondylodiscitis.Emerg Infect Dis. 2023 Feb;29(2):444-446. doi: 10.3201/eid2902.221389. Emerg Infect Dis. 2023. PMID: 36692867 Free PMC article.
-
Rapid, Easy, and Reliable Identification of Nocardia sp. by MALDI-TOF Mass Spectrometry, VITEK®-MS IVD V3.2 Database, Using Direct Deposit.Int J Mol Sci. 2023 Mar 13;24(6):5469. doi: 10.3390/ijms24065469. Int J Mol Sci. 2023. PMID: 36982540 Free PMC article.
-
Pseudomonas aeruginosa Detection Using Conventional PCR and Quantitative Real-Time PCR Based on Species-Specific Novel Gene Targets Identified by Pangenome Analysis.Front Microbiol. 2022 May 4;13:820431. doi: 10.3389/fmicb.2022.820431. eCollection 2022. Front Microbiol. 2022. PMID: 35602063 Free PMC article.
References
-
- Deshpande L.M., Fritsche R.N., Jones R.N. Molecular epidemiology of selected multidrug-resistant bacteria: a global report from the SENTRY Antimicrobial Surveillance Program. Diagn Microbiol Infect Dis. 2004;4:231–236. - PubMed
-
- Yassin F.A., Rainey A.F., Burghardt J., Brzezinka H., Mauch M., Schaal P.K. Nocardia paucivorans sp. nov. Int J Syst Evol Microbiol. 2000;50:803–809. - PubMed
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials
Miscellaneous