Genetic Analysis Method for Staphylococcus chromogenes Associated with Goat Mastitis
| Autor: | ROCÍO A. RUIZ-ROMERO, ROBERTO A. CERVANTES-OLIVARES, ANDRÉS E. DUCOING-WATTY, DANIEL MARTÍNEZ-GÓMEZ, EFRÉN DÍAZ-APARICIO, ESTELA T. MÉNDEZ-OLVERA |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Polish Journal of Microbiology, Vol 67, Iss 2 (2018) |
| Druh dokumentu: | article |
| ISSN: | 1733-1331 2544-4646 |
| DOI: | 10.21307/pjm-2018-019 |
| Popis: | Mastitis in goats is mainly caused by coagulase-negative Staphylococcus (CNS). The identification methods for this group are based on evaluating the expression of phenotypic characteristics such as the ability to metabolize various substrates; however, this is disadvantageous as these methods are dependent on gene expression. In recent years, genotyping methods such as the Multiple Locus Variable-Number Tandem Repeat Analysis (MLVA) and gene identification have been useful for epidemiological study of several bacterial species. To develop a genotyping method, the genome sequence of Staphylococcus chromogenes MU970 was analysed. The analysis showed nine virulence genes described in Staphylococcus aureus. The MLVA was developed using four loci identified in the genome of S. chromogenes MU970. This genotyping method was examined in 23 strains of CNS isolated from goat mastitis. The rate of discrimination for MLVA was 0.8893, and the highest rates of discrimination per the index of Simpson and Hunter-Gaston were 0.926 and 0.968 for the locus 346_06, respectively. The virulence genes were present in all strains of S. chromogenes but not in other CNS. The genotyping method presented in this paper is a viable and easy method for typifying CNS isolates from mastitis cases in different regions and is an ideal mean of tracking this disease. |
| Databáze: | Directory of Open Access Journals |
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