Use of robust multivariate linear mixed models for estimation of genetic parameters for carcass traits in beef cattle

Assumptions of normality of residuals for carcass evaluation may make inferences vulnerable to the presence of outliers, but heavy-tail densities are viable alternatives to normal distributions and provide robustness against unusual or outlying observations when used to model the densities of residual effects. We compare estimates of genetic parameters by fitting multivariate Normal (MN) or heavy-tail distributions (multivariate Student’s t and multivariate Slash, MSt and MS) for residuals in data of hot carcass weight (HCW), longissimus muscle area (REA) and 12th to 13th rib fat (FAT) traits in beef cattle using 2475 records from 2007 to 2008 from a large commercial operation in Nebraska. Model comparisons using deviance information criteria (DIC) favoured MSt over MS and MN models, respectively. The posterior means (and 95% posterior probability intervals, PPI) of v for the MSt and MS models were 5.89±0.90 (4.35, 7.86) and 2.04±0.18 (1.70, 2.41), respectively. Smaller values of posterior densities of v for MSt and MS models confirm that the assumption of normally distributed residuals is not adequate for the analysis of the data set. Posterior mean (PM) and posterior median (PD) estimates of direct genetic variances were variable with MSt having the highest mean value followed by MS and MN, respectively. Posterior inferences on genetic variance were, however, comparable among the models for FAT. Posterior inference on additive heritabilities for HCW, REA and FAT using MN, MSt and MS models indicated similar and moderate heritability comparable with the literature. Posterior means of genetic correlations for carcass traits were variable but positive except for between REA and FAT, which showed an antagonistic relationship. We have demonstrated that genetic evaluation and selection strategies will be sensitive to the assumed model for residuals

Use of robust multivariate linear mixed models for estimation of genetic parameters for carcass traits in beef cattle

Assumptions of normality of residuals for carcass evaluation may make inferences vulnerable to the presence of outliers, but heavy-tail densities are viable alternatives to normal distributions and provide robustness against unusual or outlying observations when used to model the densities of residual effects. We compare estimates of genetic parameters by fitting multivariate Normal (MN) or heavy-tail distributions (multivariate Student’s t and multivariate Slash, MSt and MS) for residuals in data of hot carcass weight (HCW), longissimus muscle area (REA) and 12th to 13th rib fat (FAT) traits in beef cattle using 2475 records from 2007 to 2008 from a large commercial operation in Nebraska. Model comparisons using deviance information criteria (DIC) favoured MSt over MS and MN models, respectively. The posterior means (and 95% posterior probability intervals, PPI) of v for the MSt and MS models were 5.89±0.90 (4.35, 7.86) and 2.04±0.18 (1.70, 2.41), respectively. Smaller values of posterior densities of v for MSt and MS models confirm that the assumption of normally distributed residuals is not adequate for the analysis of the data set. Posterior mean (PM) and posterior median (PD) estimates of direct genetic variances were variable with MSt having the highest mean value followed by MS and MN, respectively. Posterior inferences on genetic variance were, however, comparable among the models for FAT. Posterior inference on additive heritabilities for HCW, REA and FAT using MN, MSt and MS models indicated similar and moderate heritability comparable with the literature. Posterior means of genetic correlations for carcass traits were variable but positive except for between REA and FAT, which showed an antagonistic relationship. We have demonstrated that genetic evaluation and selection strategies will be sensitive to the assumed model for residuals

Molecular cloning, sequence analysis and tissue expression of bovine imprinted ASCL2 gene

Achaete-scute like-2 (ASCL2) gene is a maternally expressed gene that encodes a lineage-specific transcription factor that is essential for neurectoderm and trophectoderm development and is implicated in pre-natal and post-natal development in mammals. Using comparative genomics, various in silico sequence analyses were performed to characterize the putative imprinted ASCL2 gene. Additionally, tissue expression analysis between Angus, White Fulani, and N’Dama cattle breeds was conducted, as well as a molecular cloning of the gene transcript from bovine placenta. Four site-specific motifs were identified in the basic helix-loop-helix (bHLH) domain that are highly conserved in cattle, humans and mice. Pairwise comparisons of the coding sequence of cattle, human and mice revealed a dN/dS rate ratio that was significantly less than 1 (Z test). Two synonymous single nucleotide polymorphisms (SNPs) were found within 1 kb of the cloned complementary DNA (cDNA) in cattle. Bovine ASCL2 messenger RNA (mRNA) was relatively expressed in eight adult tissues with the ASCL2 gene differentially expressed in the muscle and skin tissues of the three cattle breeds. The conservation of these site-specific motifs for phosphorylation across the three species suggests a post-translational modification of the gene function and activity of the mammalian ASCL2 gene. Keywords: Cattle, imprinting, motifs, phosphorylatio

Nucleotide sequence variability analysis of Major Histocompatibility Complex Class II DQA1 gene in Nigerian goats

Major Histocompatibility Complex (MHC) molecules loaded with peptides derived from invading pathogens are recognised by the immune system to produce a highly effective and specific response against foreign pathogens. A 310-bp fragment of exon 2 of the MHC Class II DQA1 gene was amplified in 27 animals made up of three major Nigerian goat breeds [West African Dwarf (WAD), Red Sokoto (RS) and Sahel (SH)]. Twenty amino acid polymorphic sites were found in Nigerian goats. Comparison of predicted amino acid residues of DQA1 exon 2 alleles of Nigerian goats with similar alleles from other caprine species revealed considerable congruence in amino acid substitution pattern. A significant positive selection signature was detected at the DQA1 locus of Nigerian goats in that non-synonymous substitutions occurred at a faster rate compared to synonymous substitutions (dN:dS ratio = 1.28 ; Z-Statistics= 1.634; P<0.05). The evolutionary tree constructed using UPGMA, revealed that the southern WAD goat appeared to be more related to the northern RS than SH goat at the DQA1 locus. It will be interesting therefore, for future studies to investigate the association of the genetic variants in DQA1 gene of Nigerian goats with resistance/susceptiblity to diseases in order to conserve these precious animal genetic resources