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Genetic Markers in Transcription Factors of Differentially Expressed Genes Associated with Post-partum Anoestrus Predict Pregnancy Outcome in an Independent Population of Beef Cattle

Thursday, August 21, 2014: 11:00 AM
Stanley Park Ballroom (The Westin Bayshore)
Marina RS Fortes , The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, St Lucia, Australia
Laercio R Porto-Neto , CSIRO Food Futures Flagship, Brisbane, Australia
Kasey L DeAtley , California State University, Chico, Chico, CA
Antonio Reverter-Gomez , CSIRO Food Futures Flagship, Brisbane, Australia
Milton G. Thomas , Colorado State University, Department of Animal Sciences, Fort Collins, CO
Stephen S. Moore , The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, St Lucia, Australia
Sigrid A Lehnert , CSIRO Food Futures Flagship, Brisbane, Australia
Warren M. Snelling , USDA, ARS, US MARC, Clay Center, NE
Abstract Text: Length of post-partum anoestrus affects pregnancy rates in cattle. Our objective was to predict pregnancy outcome using a selected panel of markers. To select informative markers several experiments were combined in a meta-analysis: 1) genome-wide association studies for post-partum anoestrous interval using two breeds (Brahman and Tropical Composite), 2) hypothalamic gene expression analysis comparing cycling Brahman cows to cows in post-partum anoestrus, 3) identification of transcription factors linked to selected genes, and 4) whole-genome and RNA-sequencing data. A panel of 140 SNP emerged out of this meta-analysis. Its predictive performance was compared to sets of randomly selected SNP. The 140 SNP panel accounted for 29% of additive variation in rebreeding in an independent, multi-breed cow herd, and accounted for more variation than random sets. Selected marker panels based on functional genomics present an alternative to genomic selection procedures in beef cattle.

Keywords:

Reproductive traits

Functional polymorphisms

Beef cattle