Using gene expression information obtained by quantitative real-time PCR to evaluate Angus bulls divergently selected for feed efficiency
Y. Chen A C E , P. F. Arthur A C , I. M. Barchia A , K. Quinn B , P. F. Parnell B C D and R. M. Herd B C
+ Author Affiliations
- Author Affiliations
A NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute, Menangle, NSW 2568, Australia.
B NSW Department of Primary Industries, Beef Industry Centre, Armidale, NSW 2351, Australia.
C Cooperative Research Centre for Beef Genetic Technologies, University of New England, Armidale, NSW 2351, Australia.
D Angus Society of Australia, Armidale, NSW 2350, Australia.
E Corresponding author. Email: yizhou.chen@dpi.nsw.gov.au
Animal Production Science 52(11) 1058-1067 https://doi.org/10.1071/AN12098
Submitted: 16 March 2012 Accepted: 5 June 2012 Published: 15 August 2012
Abstract
Residual feed intake (RFI) is a measure of feed efficiency in beef cattle. Young Angus bulls from lines of cattle divergently selected for RFI were used in a gene expression profiling study of the liver. Quantitative real-time PCR (qPCR) assay was used to quantify the differentially expressed genes and the information was used to examine the relationships between the genes and RFI and to classify the bulls into their respective RFI group. Gene expression of 21 genes in liver biopsies from 22 low RFI and 22 high RFI bulls were measured by qPCR. Gene expressions of 14 of the 21 genes were significantly correlated with RFI. The expression of the genes was used in a principal component analysis from which five components were extracted. The five principal components explained 70% of the variation in the dependency structure. The first component was highly correlated (correlation coefficient of 0.69) with RFI. The genes of the glutathione S-transferase Mu family (GSTM1, GSTM2, GSTM4), protocadherin 19 (PCDH19), ATP-binding cassette transporter C4 (ABCC4) and superoxide dismutase 3 (SOD3) are in the xenobiotic pathway and were the key factors in the first principal component. This highlights the important relationship between this pathway and variation in RFI. The second and third principal components were also correlated with RFI, with correlation coefficients of –0.28 and –0.20, respectively. Two of the four important genes of the second principal component work coordinately in the signalling pathways that inhibit the insulin-stimulated insulin receptor and regulate energy metabolism. This is consistent with the observation that a positive genetic correlation exists between RFI and fatness. The important genes in the third principal component are related to the extracellular matrix activity, with low RFI bulls showing high extracellular matrix activity.
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