Endometrial gene expression profile of pregnant sows with extreme phenotypes for reproductive efficiency

Autor: Córdoba, Sarai, Balcells Ortega, Ingrid, Castelló Farré, Anna, Ovilo, Cristina, Noguera Jiménez, José Luis, Timoneda i Heredia, Oriol, Sánchez Bonastre, Armando, Universitat Autònoma de Barcelona. Departament de Genètica Animal
Přispěvatelé: Ministerio de Economía y Competitividad (España), Ministerio de Ciencia e Innovación (España)
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Repositorio de Resultados de Investigación del INIA
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria INIA
Scientific Reports
Digital.CSIC. Repositorio Institucional del CSIC
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Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
INIA: Repositorio de Resultados de Investigación del INIA
Popis: Prolificacy can directly impact porcine profitability, but large genetic variation and low heritability have been found regarding litter size among porcine breeds. To identify key differences in gene expression associated to swine reproductive efficiency, we performed a transcriptome analysis of sows’ endometrium from an Iberian x Meishan F2 population at day 30–32 of gestation, classified according to their estimated breeding value (EBV) as high (H, EBV > 0) and low (L, EBV
This research was funded by the projects AGL2004–08368-C03, AGL2010-22358-C02-01 and by the Consolider-Ingenio 2010 Programme (CSD2007-00036) all from the Spanish Ministry of Economy and Competitiveness. The authors are also indebted to INRA (France) and the CIA El Dehesón del Encinar (Spain) for providing the purebred Meishan sows and Iberian boars, respectively. Funding: This research was funded by the Science and Innovation Ministry of the Spanish Government (projects AGL2010-22358-C02-01 and AGL2004–08368-C03) and also by the Consolider-Ingenio 2010 Programme (CSD2007-00036). SC is a recipient of an FPI PhD fellowship from the Science and Innovation Ministry of the Spanish Government.
Databáze: OpenAIRE