Genetic evaluation based on information from phenotypes, pedigree and markers can be implemented using a recently developed single-step method. In this paper we compare accuracies of predicted breeding values for daily gain and feed conversion ratio (FCR) in Danish Duroc pigs obtained from different versions of single-step methods, the traditional pedigree-based method and the genomic BLUP (GBLUP) method. In particular, we present a single-step method with an adjustment of the genomic relationship matrix so that it is compatible to the pedigree-based relationship matrix. Comparisons are made for both genotyped and non-genotyped animals and univariate and bivariate models. The results show that the three methods with marker information (two single-step methods and GBLUP) produce more accurate predictions of genotyped animals than the pedigree-based method. In addition, single-step methods provide more accurate predictions for non-genotyped animals. The results also show that the single-step method with adjusted genomic relationship matrix produce more accurate predictions than the original single-step method. Finally, the results for the bivariate analyses show a somewhat improved accuracy and reduced inflation of predictions for FCR for the two single-step methods compared with the univariate analyses. The conclusions are: first, the methods with marker information improve prediction compared with the pedigree-based method; second, a single-step method, contrary to GBLUP, provides improved predictions for all animals compared to the pedigree-based method; and third, a single-step method should be used with an adjustment of the genomic relationship matrix.
This study investigated the accuracy of direct genomic breeding values (DGV) using a genomic BLUP model, genomic enhanced breeding values (GEBV) using a one-step blending approach, and GEBV using a selection index blending approach for 15 traits of Nordic Red Cattle. The data comprised 6,631 bulls of which 4,408 bulls were genotyped using Illumina Bovine SNP50 BeadChip (Illumina, San Diego, CA). To validate reliability of genomic predictions, about 20% of the youngest genotyped bulls were taken as test data set. Deregressed proofs (DRP) were used as response variables for genomic predictions. Reliabilities of genomic predictions in the validation analyses were measured as squared correlations between DRP and genomic predictions corrected for reliability of DRP, based on the bulls in the test data sets. A set of weighting (scaling) factors was used to construct the combined relationship matrix among genotyped and nongenotyped bulls for one-step blending, and to scale DGV and its expected reliability in the selection index blending. Weighting (scaling) factors had a small influence on reliabilities of GEBV, but a large influence on the variation of GEBV. Based on the validation analyses, averaged over the 15 traits, the reliability of DGV for bulls without daughter records was 11.0 percentage points higher than the reliability of conventional pedigree index. Further gain of 0.9 percentage points was achieved by combining information from conventional pedigree index using the selection index blending, and gain of 1.3 percentage points was achieved by combining information of genotyped and nongenotyped bulls simultaneously applying the one-step blending. These results indicate that genomic selection can greatly improve the accuracy of preselection for young bulls in Nordic Red population, and the one-step blending approach is a good alternative to predict GEBV in practical genetic evaluation program.
Sepsis is characterized by systematic inflammation where oxidative damage plays a key role in organ failure. This study was designed to examine the impact of the antioxidant metallothionein (MT) on lipopolysaccharide (LPS)-induced cardiac contractile and intracellular Ca 2+ dysfunction, oxidative stress, endoplasmic reticulum (ER) stress and autophagy. Mechanical and intracellular Ca 2+ properties were examined in hearts from FVB and cardiac-specific MT overexpression mice treated with LPS. Oxidative stress, activation of mitogen-activated protein kinase pathways (ERK, JNK and p38), ER stress, autophagy and inflammatory markers iNOS and TNFα were evaluated. Our data revealed enlarged end systolic diameter, decreased fractional shortening, myocyte peak shortening and maximal velocity of shortening/relengthening as well as prolonged duration of relengthening in LPS-treated FVB mice associated with reduced intracellular Ca 2+ release and decay. LPS treatment promoted oxidative stress (reduced glutathione/glutathione disulfide ratio and ROS generation). Western blot analysis revealed greater iNOS and TNFα, activation of ERK, JNK and p38, upregulation of ER stress markers GRP78, Gadd153, PERK and IRE1α, as well as the autophagy markers Beclin-1, LCB3 and Atg7 in LPS-treated mouse hearts without any change in total ERK, JNK and p38. Interestingly, these LPS-induced changes in echocardiographic, cardiomyocyte mechanical and intracellular Ca 2+ properties, ROS, stress signaling and ER stress (but not autophagy, iNOS and TNFα) were ablated by MT. Antioxidant N-acetylcysteine and the ER stress inhibitor tauroursodeoxycholic acid reversed LPS-elicited depression in cardiomyocyte contractile function. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. LPS activated AMPK and its downstream signaling ACC in conjunction with an elevated AMP/ATP ratio, which was unaffected by MT. Taken together, our data favor a beneficial effect of MT in the management of cardiac dysfunction in sepsis. DISCLOSURES
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