Heritability Estimates of Antler and Body Traits in White-Tailed Deer (Odocoileus virginianus) From Genomic-Relatedness Matrices

Author:

Jamieson Aidan1,Anderson Spencer J2,Fuller Jérémie3,Côté Steeve D3,Northrup Joseph M24,Shafer Aaron B A25

Affiliation:

1. Department of Biology, Trent University, Peterborough, ON, Canada

2. Environmental and Life Sciences Graduate Program, Trent University, Peterborough, ON, Canada

3. Département de biologie, Centre d’études nordiques and NSERC Industrial Research Chair in Integrated Resource Management of Anticosti Island, Université Laval, Québec City, QC, Canada

4. Wildlife Research and Monitoring Section, Ontario Ministry of Natural Resources and Forestry, Trent University, Peterborough, ON, Canada

5. Forensics Program Trent University, Peterborough, ON, Canada

Abstract

Abstract Estimating heritability (h2) is required to predict the response to selection and is useful in species that are managed or farmed using trait information. Estimating h2 in free-ranging populations is challenging due to the need for pedigrees; genomic-relatedness matrices (GRMs) circumvent this need and can be implemented in nearly any system where phenotypic and genome-wide single-nucleotide polymorphism (SNP) data are available. We estimated the heritability of 5 body and 3 antler traits in a free-ranging population of white-tailed deer (Odocoileus virginianus) on Anticosti Island, Quebec, Canada. We generated classic and robust GRMs from >10,000 SNPs: hind foot length, dressed body mass, and peroneus muscle mass had high h2 values of 0.62, 0.44, and 0.55, respectively. Heritability in male-only antler features ranged from 0.07 to 0.33. We explored the influence of filtering by minor allele frequency and data completion on h2: GRMs derived from fewer SNPs had reduced h2 estimates and the relatedness coefficients significantly deviated from those generated with more SNPs. As a corollary, we discussed limitations to the application of GRMs in the wild, notably how skewed GRMs, specifically many unrelated individuals, can increase variance around h2 estimates. This is the first study to estimate h2 on a free-ranging population of white-tailed deer and should be informative for breeding designs and management as these traits could respond to selection.

Funder

Natural Sciences and Engineering Research Council of Canada

ComputeCanada Resources for Research Groups

Canadian Foundation for Innovation

John R. Evans Leaders Fund

Industrial Chairs and Collaborative Research and Development

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,Biotechnology

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