| |
|
|
|
Registro completo
|
|
Biblioteca (s) : |
INIA Treinta y Tres. |
|
Fecha : |
22/01/2021 |
|
Actualizado : |
14/04/2021 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Autor : |
DELPIAZZO, R.; BARCELLOS, M.; BARROS, S.; BENTANCOR, L.; FRAGA, M.; GIL, J.; IRAOLA, G.; MORSELLA, C.; PAOLICCHI, F.; PÉREZ, R.; RIET-CORREA, F.; SANGUINETTI, M.; SILVA, A.; SILVEIRA, C.S.; CALLEROS, L. |
|
Afiliación : |
RAFAEL DELPIAZZO, Universidad de la República Oriental del Uruguay. Facultad de Veterinaria. Estación Experimental "Dr. Mario A. Cassinoni". Departamento de Salud de los Sistemas Pecuarios. Paysandú, Uruguay.; MAILA BARCELLOS, Universidad de la República Oriental del Uruguay. Facultad de Ciencias. Sección Genética Evolutiva. Montevideo, Uruguay.; SOFÍA BARROS, Universidad de la República Oriental del Uruguay. Facultad de Ciencias. Sección Genética Evolutiva. Montevideo, Uruguay.; LAURA BENTANCOR, Universidad de la República Oriental del Uruguay. Facultad de Medicina. Instituto de Higiene. Departamento de Bacteriología y Virología. Montevideo, Uruguay.; MARTIN FRAGA COTELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JORGE GIL, Universidad de la República Oriental del Uruguay. Facultad de Veterinaria. Estación Experimental "Dr. Mario A. Cassinoni". Departamento de Salud de los Sistemas Pecuarios. Paysandú, Uruguay.; GREGORIO IRAOLA, Institut Pasteur de Montevideo. Laboratorio de Genómica Microbiana, Montevideo, Uruguay. / Universidad Mayor. Facultad de Ciencias. Centro de Biología Integrativa. Santiago de Chile, Chile.; CLAUDIA MORSELLA, Estación Experimental INTA Balcarce. Laboratorio de Bacteriología. Balcarce, Buenos Aires, Argentina.; FERNANDO PAOLICCHI, Estación Experimental INTA Balcarce. Laboratorio de Bacteriología. Balcarce, Buenos Aires, Argentina.; RUBEN PEREZ, Universidad de la República Oriental del Uruguay. Facultad de Ciencias. Sección Genética Evolutiva. Montevideo, Uruguay.; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Universidad de la República Oriental del Uruguay. Facultad de Ciencias. Sección Genética Evolutiva. Montevideo, Uruguay.; ALFONSO SILVA, Universidad de la República Oriental del Uruguay. Facultad de Ciencias. Sección Genética Evolutiva. Montevideo, Uruguay.; CAROLINE DA SILVA SILVEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCÍA CALLEROS, Universidad de la República Oriental del Uruguay. Facultad de Ciencias. Sección Genética Evolutiva. Montevideo, Uruguay. |
|
Título : |
Accurate and fast identification of Campylobacter fetus in bulls by real-time PCR targeting a 16S rRNA gene sequence. |
|
Fecha de publicación : |
2021 |
|
Fuente / Imprenta : |
Veterinary and Animal Science, January 2021, vol.11 no. 100165, 5 p. OPEN ACCESS. Doi: https://doi.org/10.1016/j.vas.2020.100163 |
|
DOI : |
10.1016/j.vas.2020.100163 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received 21 October 2020 / Received in revised form 20 December 2020 / Accepted 22 December 2020 / available online 24 December 2020.
Corresponding author: laurabet@higiene.edu.uy |
|
Contenido : |
Campylobacter fetus is an important animal pathogen that causes infectious infertility, embryonic mortality and abortions in cattle and sheep flocks. There are two recognized subspecies related with reproductive disorders in livestock: Campylobacter fetus subsp. fetus (Cff) and Campylobacter fetus subsp. venerealis (Cfv). Rapid and reliable detection of this pathogenic species in bulls is of upmost importance for disease control in dairy and beef herds as they are asymptomatic carriers. The aim of the present work was to assess the performance a real-time PCR (qPCR) method for the diagnosis of Campylobacter fetus in samples from bulls, comparing it with culture and isolation methods. 520 preputial samples were both cultured in Skirrow?s medium and analyzed by qPCR. The estimated sensitivity of qPCR was 90.9% (95% CI, 69.4%?100%), and the specificity was 99.4% (95% CI, 98.6% - 100%). The proportion of C. fetus positive individuals was 2.1% by isolation and 2.5% by qPCR. Isolates were identified by biochemical tests as Cfv (n = 9) and Cff (n = 2). Our findings support the use of qPCR for fast and accurate detection of C. fetus directly from field samples of preputial smegma of bulls. The qPCR method showed to be suitable for massive screenings because it can be performed in pooled samples without losing accuracy and sensitivity. |
|
Palabras claves : |
BOVINE GENITAL CAMPYLOBACTERIOSIS; CAMPYLOBACTER FETUS; MOLECULAR DIAGNOSIS; MOLECULAR DIAGNOSTICS; QPCR. |
|
Asunto categoría : |
L73 Enfermedades de los animales |
|
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14934/1/Veterinary-Animal-Science-2021-100163.pdf
|
|
Marc : |
LEADER 02681naa a2200373 a 4500
001 1061678
005 2021-04-14
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1016/j.vas.2020.100163$2DOI
100 1 $aDELPIAZZO, R.
245 $aAccurate and fast identification of Campylobacter fetus in bulls by real-time PCR targeting a 16S rRNA gene sequence.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 21 October 2020 / Received in revised form 20 December 2020 / Accepted 22 December 2020 / available online 24 December 2020. Corresponding author: laurabet@higiene.edu.uy
520 $aCampylobacter fetus is an important animal pathogen that causes infectious infertility, embryonic mortality and abortions in cattle and sheep flocks. There are two recognized subspecies related with reproductive disorders in livestock: Campylobacter fetus subsp. fetus (Cff) and Campylobacter fetus subsp. venerealis (Cfv). Rapid and reliable detection of this pathogenic species in bulls is of upmost importance for disease control in dairy and beef herds as they are asymptomatic carriers. The aim of the present work was to assess the performance a real-time PCR (qPCR) method for the diagnosis of Campylobacter fetus in samples from bulls, comparing it with culture and isolation methods. 520 preputial samples were both cultured in Skirrow?s medium and analyzed by qPCR. The estimated sensitivity of qPCR was 90.9% (95% CI, 69.4%?100%), and the specificity was 99.4% (95% CI, 98.6% - 100%). The proportion of C. fetus positive individuals was 2.1% by isolation and 2.5% by qPCR. Isolates were identified by biochemical tests as Cfv (n = 9) and Cff (n = 2). Our findings support the use of qPCR for fast and accurate detection of C. fetus directly from field samples of preputial smegma of bulls. The qPCR method showed to be suitable for massive screenings because it can be performed in pooled samples without losing accuracy and sensitivity.
653 $aBOVINE GENITAL CAMPYLOBACTERIOSIS
653 $aCAMPYLOBACTER FETUS
653 $aMOLECULAR DIAGNOSIS
653 $aMOLECULAR DIAGNOSTICS
653 $aQPCR
700 1 $aBARCELLOS, M.
700 1 $aBARROS, S.
700 1 $aBENTANCOR, L.
700 1 $aFRAGA, M.
700 1 $aGIL, J.
700 1 $aIRAOLA, G.
700 1 $aMORSELLA, C.
700 1 $aPAOLICCHI, F.
700 1 $aPÉREZ, R.
700 1 $aRIET-CORREA, F.
700 1 $aSANGUINETTI, M.
700 1 $aSILVA, A.
700 1 $aSILVEIRA, C.S.
700 1 $aCALLEROS, L.
773 $tVeterinary and Animal Science, January 2021, vol.11 no. 100165, 5 p. OPEN ACCESS. Doi: https://doi.org/10.1016/j.vas.2020.100163
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Treinta y Tres (TT) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha actual : |
04/10/2014 |
|
Actualizado : |
10/02/2020 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Circulación / Nivel : |
A - 2 |
|
Autor : |
AGUILAR, I.; MISZTAL, I.; LEGARRA, A.; TSURUTA, S. |
|
Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
|
Título : |
Efficient computation of the genomic relationship matrix and other matrices used in single-step evaluation. |
|
Fecha de publicación : |
2011 |
|
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2011, v.128, no.6, p.422-428. |
|
ISSN : |
0931-2668 |
|
DOI : |
10.1111/j.1439-0388.2010.00912.x |
|
Idioma : |
Inglés |
|
Contenido : |
ABSTRACT.
Genomic evaluations can be calculated using a unified procedure that combines phenotypic, pedigree and genomic information. Implementation of such a procedure requires the inverse of the relationship matrix based on pedigree and genomic relationships. The objective of this study was to investigate efficient computing options to create relationship matrices based on genomic markers and pedigree information as well as their inverses. SNP maker information was simulated for a panel of 40K SNPs, with the number of genotyped animals up to 30000. Matrix multiplication in the computation of the genomic relationship was by a simple 'do' loop, by two optimized versions of the loop, and by a specific matrix multiplication subroutine. Inversion was by a generalized inverse algorithm and by a LAPACK subroutine. With the most efficient choices and parallel processing, creation of matrices for 30000 animals would take a few hours. Matrices required to implement a unified approach can be computed efficiently. Optimizations can be either by modifications of existing code or by the use of efficient automatic optimizations provided by open source or third-party libraries.
© 2011 Blackwell Verlag GmbH. |
|
Thesagro : |
MEJORAMIENTO GENÉTICO ANIMAL; MODELOS MATEMÁTICOS; SELECCIÓN GENÓMICA. |
|
Asunto categoría : |
L10 Genética y mejoramiento animal |
|
Marc : |
LEADER 01921naa a2200217 a 4500
001 1050907
005 2020-02-10
008 2011 bl uuuu u00u1 u #d
022 $a0931-2668
024 7 $a10.1111/j.1439-0388.2010.00912.x$2DOI
100 1 $aAGUILAR, I.
245 $aEfficient computation of the genomic relationship matrix and other matrices used in single-step evaluation.$h[electronic resource]
260 $c2011
520 $aABSTRACT. Genomic evaluations can be calculated using a unified procedure that combines phenotypic, pedigree and genomic information. Implementation of such a procedure requires the inverse of the relationship matrix based on pedigree and genomic relationships. The objective of this study was to investigate efficient computing options to create relationship matrices based on genomic markers and pedigree information as well as their inverses. SNP maker information was simulated for a panel of 40K SNPs, with the number of genotyped animals up to 30000. Matrix multiplication in the computation of the genomic relationship was by a simple 'do' loop, by two optimized versions of the loop, and by a specific matrix multiplication subroutine. Inversion was by a generalized inverse algorithm and by a LAPACK subroutine. With the most efficient choices and parallel processing, creation of matrices for 30000 animals would take a few hours. Matrices required to implement a unified approach can be computed efficiently. Optimizations can be either by modifications of existing code or by the use of efficient automatic optimizations provided by open source or third-party libraries. © 2011 Blackwell Verlag GmbH.
650 $aMEJORAMIENTO GENÉTICO ANIMAL
650 $aMODELOS MATEMÁTICOS
650 $aSELECCIÓN GENÓMICA
700 1 $aMISZTAL, I.
700 1 $aLEGARRA, A.
700 1 $aTSURUTA, S.
773 $tJournal of Animal Breeding and Genetics, 2011$gv.128, no.6, p.422-428.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
