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Genetic Analysis Method for Staphylococcus chromogenes Associated with Goat Mastitis

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 de...

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Autores principales: RUIZ-ROMERO, ROCÍO A., CERVANTES-OLIVARES, ROBERTO A., DUCOING-WATTY, ANDRÉS E., MARTÍNEZ-GÓMEZ, DANIEL, DÍAZ-APARICIO, EFRÉN, MÉNDEZ-OLVERA, ESTELA T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Exeley Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256767/
https://www.ncbi.nlm.nih.gov/pubmed/30015455
http://dx.doi.org/10.21307/pjm-2018-019
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author RUIZ-ROMERO, ROCÍO A.
CERVANTES-OLIVARES, ROBERTO A.
DUCOING-WATTY, ANDRÉS E.
MARTÍNEZ-GÓMEZ, DANIEL
DÍAZ-APARICIO, EFRÉN
MÉNDEZ-OLVERA, ESTELA T.
author_facet RUIZ-ROMERO, ROCÍO A.
CERVANTES-OLIVARES, ROBERTO A.
DUCOING-WATTY, ANDRÉS E.
MARTÍNEZ-GÓMEZ, DANIEL
DÍAZ-APARICIO, EFRÉN
MÉNDEZ-OLVERA, ESTELA T.
author_sort RUIZ-ROMERO, ROCÍO A.
collection PubMed
description 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.
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spelling pubmed-72567672020-06-03 Genetic Analysis Method for Staphylococcus chromogenes Associated with Goat Mastitis RUIZ-ROMERO, ROCÍO A. CERVANTES-OLIVARES, ROBERTO A. DUCOING-WATTY, ANDRÉS E. MARTÍNEZ-GÓMEZ, DANIEL DÍAZ-APARICIO, EFRÉN MÉNDEZ-OLVERA, ESTELA T. Pol J Microbiol Microbiology 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. Exeley Inc. 2018-06 2018-06-30 /pmc/articles/PMC7256767/ /pubmed/30015455 http://dx.doi.org/10.21307/pjm-2018-019 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Microbiology
RUIZ-ROMERO, ROCÍO A.
CERVANTES-OLIVARES, ROBERTO A.
DUCOING-WATTY, ANDRÉS E.
MARTÍNEZ-GÓMEZ, DANIEL
DÍAZ-APARICIO, EFRÉN
MÉNDEZ-OLVERA, ESTELA T.
Genetic Analysis Method for Staphylococcus chromogenes Associated with Goat Mastitis
title Genetic Analysis Method for Staphylococcus chromogenes Associated with Goat Mastitis
title_full Genetic Analysis Method for Staphylococcus chromogenes Associated with Goat Mastitis
title_fullStr Genetic Analysis Method for Staphylococcus chromogenes Associated with Goat Mastitis
title_full_unstemmed Genetic Analysis Method for Staphylococcus chromogenes Associated with Goat Mastitis
title_short Genetic Analysis Method for Staphylococcus chromogenes Associated with Goat Mastitis
title_sort genetic analysis method for staphylococcus chromogenes associated with goat mastitis
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256767/
https://www.ncbi.nlm.nih.gov/pubmed/30015455
http://dx.doi.org/10.21307/pjm-2018-019
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