Biology subjects

Durbin, H. J.

Publications and source records attributed to Durbin, H. J..

4 recordsLinked to original sources

bioRxiv2022

Genomic loci involved in sensing environmental cues and metabolism affect seasonal coat shedding in Bos taurus and Bos indicus cattle

Seasonal shedding of winter hair at the start of summer is well studied in wild and domesticated populations. However, the genetic influences on this trait and their interactions are poorly understood. We use data from 13,364 cattle with 36,899 repeated phenotypes to investigate the relationship between hair shedding and environmental variables, single nucleotide polymorphisms, and their interactions to understand quantitative differences in seasonal shedding. Using deregressed estimated breeding values from a repeated records model in a genome-wide association analysis (GWAA) and meta-analysis of year-specific GWAA gave remarkably similar results. These GWAA identified hundreds of variants associated with seasonal hair shedding. There were especially strong associations on chromosomes 5 and 23. Genotype-by- environment interaction GWAA identified 1,040 day length-by-genotype interaction associations and 17 apparent temperature-by-genotype interaction associations with hair shedding, highlighting the importance of day length on hair shedding. Accurate genomic predictions of hair shedding were created for the entire dataset, Angus, Hereford, Brangus, and multi-breed datasets. Loci related to metabolism and light- sensing have a large influence on seasonal hair shedding. This is one of the largest genetic analyses of a phenological trait and provides insight for both agriculture production and basic science.

genomics↗

bioRxiv2020

Evaluation of Zoetis GeneMax Advantage genomic predictions in commercial Bos taurus Angus cattle

The GeneMax (GMX) Advantage test, developed by Zoetis, uses approximately 50,000 single nucleotide polymorphisms (SNP) to predict the genomic potential of a commercial Angus heifer. Genetic predictions are provided for Calving Ease Maternal, Weaning Weight, Heifer Pregnancy, Milk, Mature Weight, Dry Matter Intake, Carcass Weight, Marbling, Yield, and three economic selection indices. Test results can inform selection and culling decisions made by commercial beef cattle producers. To measure the accuracy of the trait predictions, data from commercial Angus females and their progeny at the University of Missouri Thompson Research Center were utilized to analyze weaning weight, milk, marbling, fat, ribeye area, and carcass weight. Progeny phenotypic data were matched to the respective dam, then the cows genomic predictions were compared to the calfs age-adjusted phenotypes using correlation and linear model effect sizes. All tested GeneMax scores of the dam were significantly correlated with and predicted calf performance. Our predicted effect sizes, except for fat thickness, were similar to those reported by Zoetis. In conclusion, the GeneMax Advantage test accurately ranks animals based on their genetic merit and is an effective selection tool in commercial cowherds.

genomics↗

bioRxiv2020

Development of a genetic evaluation for hair shedding in American Angus cattle to improve thermotolerance

BackgroundHeat stress and fescue toxicosis caused by ingesting tall fescue infected with the endophytic fungus Epichloe coenophiala represent two of the most prevalent stressors to beef cattle in the United States, costing the beef industry millions of dollars each year. The rate at which a beef cow sheds her winter coat early in the summer is an indicator of adaptation to heat and an economically relevant trait in many parts of the U.S. Further, research suggests that early-summer hair shedding may be reflective of tolerance to fescue toxicosis, as vasoconstriction induced by fescue toxicosis limits the ability of an animal to shed its winter coat. Here, we developed parameters for routine genetic evaluation of hair shedding score in American Angus cattle and identified genomic loci associated with variation in hair shedding score via genome-wide association analysis (GWAA). ResultsHair shedding score was found to be moderately heritable (h2 = 0.34 to 0.40), with differing repeatability estimates between cattle grazing versus not grazing endophyte-infected tall fescue. Our results suggest modestly negative genetic and phenotypic correlations between a dams hair shedding score (lower score is earlier shedding) and the weaning weight of her calf, one metric of performance. Together, these results indicate that economic gains can be made via the use of hair shedding score breeding values to select for heat tolerant cattle. GWAA identified 176 variants significant at FDR < 0.05. Functional enrichment analyses using genes within 50 Kb of these variants identified pathways involved in keratin formation, prolactin signaling, host-virus interaction, and other biological processes. ConclusionsThis work contributes to a continuing trend in the development of genetic evaluations for environmental adaptation. The results of this work will aid beef cattle producers in selecting more sustainable and climate-adapted cattle, as well as enable the development of similar routine genetic evaluations in other breeds.

genomics↗

bioRxiv2020

Powerful detection of polygenic selection and environmental adaptation in US beef cattle populations

Selection on complex traits can rapidly drive evolution, especially in stressful environments. This polygenic selection does not leave intense sweep signatures on the genome, rather many loci experience small allele frequency shifts, resulting in large cumulative phenotypic changes. Directional selection and local adaptation are actively changing populations; but, identifying loci underlying polygenic or environmental selection has been difficult. We use genomic data on tens of thousands of cattle from three populations, distributed over time and landscapes, in linear mixed models with novel dependent variables to map signatures of selection on complex traits and local adaptation. We identify 207 genomic loci associated with an animals birth date, representing ongoing selection for monogenic and polygenic traits. Additionally, hundreds of additional loci are associated with continuous and discrete environments, providing evidence for local adaptation. These candidate loci highlight the nervous systems possible role in local adaptation. While advanced technologies have increased the rate of directional selection in cattle, it has likely been at the expense of historically generated local adaptation, which is especially problematic in changing climates. When applied to large, diverse cattle datasets, these selection mapping methods provide an insight into how selection on complex traits continually shapes the genome. Further, by understanding the genomic loci implicated in adaptation, may help us breed more adapted and efficient cattle and begin understanding the basis for mammalian adaptation, especially in changing climates. These selection mapping approaches help clarify selective forces and loci in evolutionary, model, and agricultural contexts. Author SummaryInterest in mapping the impacts of selection and local adaptation on the genome is increasing due to the novel stressors presented by climate change. Until now, approaches have largely focused on mapping "sweeps" on large-effect loci. Highly powered datasets that are both temporally and geographically distributed have not existed. Recently, large numbers of beef cattle have been genotyped across the United States, including influential individuals with cryopreserved semen. This has created multiple powerful datasets distributed over time and landscapes. Here, we map the recent effects of selection and local adaptation in three cattle populations. The results provide insight into the biology of mammalian adaptation and generate useful tools for selecting and breeding better-adapted cattle for a changing environment.

genomics↗