Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/49146
DC FieldValueLanguage
dc.contributor.authorFleitas, J. L.en_US
dc.contributor.authorTejedor-Junco, M. T.en_US
dc.contributor.authorSantana, A.en_US
dc.contributor.authorAndrada, M.en_US
dc.contributor.authorRamírez, A. S.en_US
dc.contributor.otherRamirez, Ana-
dc.contributor.otherTejedor-Junco, Maria Teresa-
dc.date.accessioned2018-11-24T04:34:22Z-
dc.date.available2018-11-24T04:34:22Z-
dc.date.issued2015en_US
dc.identifier.issn0921-4488en_US
dc.identifier.urihttp://hdl.handle.net/10553/49146-
dc.description.abstractCoxiella (C.) burnetii is an obligate intracellular microorganism which causes Q fever, an important zoonotic disease. C burnetii can be excreted in birth products, feces, urine and milk. It is known that C. burnetii can be shed in milk during several lactation periods. The PCR based on the transposon-like element IS1111a genes target has been proved to be highly sensitive and specific. In this study we present an adaptation of the primer set designed for conventional PCR targeting the multicopy IS1111 repeat element to be used in real-time PCR (real time trans-PCR) and the design of a mathematical model for calculating the sensitivity of a real-time trans-PCR analysis for C burnetii in goat milk. The adaptation of the trans-PCR into real time was evaluated and positive goat milk samples were analyzed with it. With the aim of estimate the probability of false negative, we fit a probability distribution to the threshold cycle values. Several probability distributions have been considered. In all cases the goodness of fit has been assessed by using Kolmogorov-Smirnov and Anderson-Darling Quadratic tests. Using real time trans-PCR, it was possible to obtain a clear positive reading for 8.01 x 10(3) cells/ml. From the 56 milk samples tested, the real time trans-PCR assay revealed real positivity for C. burnetii in all of them. The logistic fit leads to an estimation of the rate of false negatives of 8.07%, which would have a sensitivity of 91.93% (using 41 cycles in the protocol). The primers for IS111 region described could be used and they are effective to detect C. burnetii in milk samples. (C) 2014 Elsevier B.V. All rights reserved.en_US
dc.languagespaen_US
dc.publisher0921-4488
dc.relation.ispartofSmall Ruminant Researchen_US
dc.sourceSmall Ruminant Research[ISSN 0921-4488],v. 123, p. 149-154en_US
dc.subject.otherPolymerase-Chain-Reactionen_US
dc.subject.otherBulk Tank Milken_US
dc.subject.otherQ-Feveren_US
dc.subject.otherSamplesen_US
dc.subject.otherSeroprevalenceen_US
dc.subject.otherPrevalenceen_US
dc.subject.otherInfectionen_US
dc.subject.otherAgenten_US
dc.subject.otherSpainen_US
dc.subject.otherAssayen_US
dc.titleMathematical method for calculating the sensitivity of a real-time trans-PCR analysis for Coxiella burnetii in goat milken_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.smallrumres.2014.09.011en_US
dc.identifier.scopus84919372027-
dc.identifier.isi000349271400023-
dcterms.isPartOfSmall Ruminant Research
dcterms.sourceSmall Ruminant Research[ISSN 0921-4488],v. 123 (1), p. 149-154
dc.contributor.authorscopusid23967626000-
dc.contributor.authorscopusid6603353402-
dc.contributor.authorscopusid56554207500-
dc.contributor.authorscopusid56176713700-
dc.contributor.authorscopusid6602991535-
dc.contributor.authorscopusid57214574565-
dc.contributor.authorscopusid7401735183-
dc.description.lastpage154en_US
dc.description.firstpage149en_US
dc.relation.volume123en_US
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000349271400023-
dc.contributor.daisngid10824752-
dc.contributor.daisngid2312733-
dc.contributor.daisngid4213964-
dc.contributor.daisngid862879-
dc.contributor.daisngid4403282-
dc.contributor.daisngid1521915-
dc.identifier.investigatorRIDL-5255-2014-
dc.identifier.investigatorRIDNo ID-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Fleitas, JL-
dc.contributor.wosstandardWOS:Tejedor-Junco, MT-
dc.contributor.wosstandardWOS:Santana, A-
dc.contributor.wosstandardWOS:Andrada, M-
dc.contributor.wosstandardWOS:Ramirez, AS-
dc.date.coverdateEnero 2015en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-VETen_US
dc.description.sjr0,603
dc.description.jcr1,083
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUIBS: Trypanosomosis, Resistencia a Antibióticos y Medicina Animal-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Clínicas-
crisitem.author.deptGIR Estadística-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptGIR IUSA-ONEHEALTH 3: Histología y Patología Veterinaria y Forense (Terrestre y Marina)-
crisitem.author.deptIU de Sanidad Animal y Seguridad Alimentaria-
crisitem.author.deptDepartamento de Morfología-
crisitem.author.deptGIR IUSA-ONEHEALTH1: Epidemiología, Medicina Preventiva Veterinaria y Zoonosis-
crisitem.author.deptIU de Sanidad Animal y Seguridad Alimentaria-
crisitem.author.deptDepartamento de Patología Animal, Producción Animal, Bromatología y Tecnología de Los Alimentos-
crisitem.author.orcid0000-0003-2387-1426-
crisitem.author.orcid0000-0002-6513-4814-
crisitem.author.orcid0000-0002-2411-9714-
crisitem.author.orcid0000-0002-8721-775X-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.parentorgDepartamento de Matemáticas-
crisitem.author.parentorgIU de Sanidad Animal y Seguridad Alimentaria-
crisitem.author.parentorgIU de Sanidad Animal y Seguridad Alimentaria-
crisitem.author.fullNameTejedor Junco, María Teresa-
crisitem.author.fullNameSantana Del Pino, Ángelo-
crisitem.author.fullNameAndrada Borzollino, Marisa Ana-
crisitem.author.fullNameRamírez Corbera, Ana Sofía-
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