title: The use of coancestry based on shared segments for maintaining genetic diversity.
abstract: We have evaluated the use of genomic coancestry coefficients based on shared segments for the maintenance of genetic diversity through optimal contributions methodology for populations of three different Austrian cattle breeds. This coancestry measure has been compared with the genomic coancestry coefficient calculated on a SNP-by-SNP basis and with pedigree-based coancestry. The regressions of the shared segments coancestry on the other two coefficients suggest that the former mainly reflect Identity By Descent but with the advantage over pedigree-based coancestry of providing the realized Identity By Descent rather than an expectation. The effective population size estimated from the rate of coancestry based on shared segments was very similar to those obtained with the other coefficients and of small magnitude (from 26.24 to 111.90). This result highlights the importance of implementing active management strategies to control the increase of inbreeding and the loss of genetic diversity in livestock breeds, even when the population size is reasonably large. One problem for the implementation of coancestry based on shared segments is the need of estimating the gametic phases of the SNPs which, given the techniques used to obtain the genotypes, are a priori unknown. This study shows, through computer simulations, that using estimates of gametic phases for computing coancestry based on shared segments does not lead to a significant loss in the diversity maintained. This has been shown to be true even when the size of the population is very small as it is usually the case in populations subjected to conservation programmes.
authors.affiliation: Departamento de Mejora Genética Animal, INIA, Madrid, Spain.
authors.forename: F
authors.initials: F
authors.lastname: Gómez-Romano
authors.affiliation: Departamento de Mejora Genética Animal, INIA, Madrid, Spain.
authors.forename: B
authors.initials: B
authors.lastname: Villanueva
authors.affiliation: University of Natural Resources and Life Sciences, Vienna, Austria.
authors.forename: J
authors.initials: J
authors.lastname: Sölkner
authors.affiliation: Laboratoire d'Eco-anthropologie et Ethnobiologie, Museum National d'Histoire Naturelle, Paris, France.
authors.forename: M A R
authors.initials: MA
authors.lastname: de Cara
authors.affiliation: University of Natural Resources and Life Sciences, Vienna, Austria.
authors.forename: G
authors.initials: G
authors.lastname: Mészáros
authors.affiliation: University of Natural Resources and Life Sciences, Vienna, Austria.
authors.forename: A M
authors.initials: AM
authors.lastname: Pérez O'Brien
authors.affiliation: Departamento de Mejora Genética Animal, INIA, Madrid, Spain. jmj@inia.es.
authors.forename: J
authors.initials: J
authors.lastname: Fernández
mesh_terms: D000818:Animals; D002417:Cattle / Q000235:genetics*; D003198:Computer Simulation; D005260:Female; D014644:Genetic Variation; D005828:Genetics, Population; D008297:Male; D020641:Polymorphism, Single Nucleotide
keywords: Genetic diversity; genomic coancestry; identity by descent; shared segments