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|Title:||Using gene expression information obtained by quantitative real-time PCR to evaluate Angus bulls divergently selected for feed efficiency||Contributor(s):||Chen, Y (author); Arthur, P F (author); Barchia, I M (author); Quinn, K (author); Parnell, P F (author); Herd, Robert M (author)||Publication Date:||2012||DOI:||10.1071/AN12098||Handle Link:||https://hdl.handle.net/1959.11/14253||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.||Publication Type:||Journal Article||Source of Publication:||Animal Production Science, 52(11), p. 1058-1067||Publisher:||CSIRO Publishing||Place of Publication:||Australia||ISSN:||1836-5787
|Field of Research (FOR):||070201 Animal Breeding||Socio-Economic Outcome Codes:||830301 Beef Cattle||Peer Reviewed:||Yes||HERDC Category Description:||C1 Refereed Article in a Scholarly Journal||Statistics to Oct 2018:||Visitors: 329
|Appears in Collections:||Journal Article|
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