Literature DB >> 28601448

Invited review: Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability.

Jeremy T Howard1, Jennie E Pryce2, Christine Baes3, Christian Maltecca4.   

Abstract

Traditionally, pedigree-based relationship coefficients have been used to manage the inbreeding and degree of inbreeding depression that exists within a population. The widespread incorporation of genomic information in dairy cattle genetic evaluations allows for the opportunity to develop and implement methods to manage populations at the genomic level. As a result, the realized proportion of the genome that 2 individuals share can be more accurately estimated instead of using pedigree information to estimate the expected proportion of shared alleles. Furthermore, genomic information allows genome-wide relationship or inbreeding estimates to be augmented to characterize relationships for specific regions of the genome. Region-specific stretches can be used to more effectively manage areas of low genetic diversity or areas that, when homozygous, result in reduced performance across economically important traits. The use of region-specific metrics should allow breeders to more precisely manage the trade-off between the genetic value of the progeny and undesirable side effects associated with inbreeding. Methods tailored toward more effectively identifying regions affected by inbreeding and their associated use to manage the genome at the herd level, however, still need to be developed. We have reviewed topics related to inbreeding, measures of relatedness, genetic diversity and methods to manage populations at the genomic level, and we discuss future challenges related to managing populations through implementing genomic methods at the herd and population levels.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  genomics; inbreeding

Mesh:

Year:  2017        PMID: 28601448     DOI: 10.3168/jds.2017-12787

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  28 in total

1.  Genome-Wide Association Study Using Whole-Genome Sequence Data for Fertility, Health Indicator, and Endoparasite Infection Traits in German Black Pied Cattle.

Authors:  Manuel J Wolf; Tong Yin; Guilherme B Neumann; Paula Korkuć; Gudrun A Brockmann; Sven König; Katharina May
Journal:  Genes (Basel)       Date:  2021-07-28       Impact factor: 4.096

2.  Genomic dissection of repeatability considering additive and nonadditive genetic effects for semen production traits in beef and dairy bulls.

Authors:  Rintaro Nagai; Masashi Kinukawa; Toshio Watanabe; Atsushi Ogino; Kazuhito Kurogi; Kazunori Adachi; Masahiro Satoh; Yoshinobu Uemoto
Journal:  J Anim Sci       Date:  2022-09-01       Impact factor: 3.338

3.  Genomic Prediction of Complex Traits in Perennial Plants: A Case for Forest Trees.

Authors:  Fikret Isik
Journal:  Methods Mol Biol       Date:  2022

4.  Genomic Tools for the Conservation and Genetic Improvement of a Highly Fragmented Breed-The Ramo Grande Cattle from the Azores.

Authors:  Andreia J Amaral; Ana L Pavão; Luis T Gama
Journal:  Animals (Basel)       Date:  2020-06-24       Impact factor: 2.752

5.  Relationships between estimated autozygosity and complex traits in the UK Biobank.

Authors:  Emma C Johnson; Luke M Evans; Matthew C Keller
Journal:  PLoS Genet       Date:  2018-07-27       Impact factor: 5.917

6.  Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms.

Authors:  Christian Maltecca; Duc Lu; Constantino Schillebeeckx; Nathan P McNulty; Clint Schwab; Caleb Shull; Francesco Tiezzi
Journal:  Sci Rep       Date:  2019-04-25       Impact factor: 4.379

7.  Whole-genome homozygosity mapping reveals candidate regions affecting bull fertility in US Holstein cattle.

Authors:  Juan Pablo Nani; Francisco Peñagaricano
Journal:  BMC Genomics       Date:  2020-05-04       Impact factor: 3.969

8.  Estimates of Autozygosity Through Runs of Homozygosity in Farmed Coho Salmon.

Authors:  Grazyella M Yoshida; Pablo Cáceres; Rodrigo Marín-Nahuelpi; Ben F Koop; José M Yáñez
Journal:  Genes (Basel)       Date:  2020-04-30       Impact factor: 4.096

9.  SNP genotypes reveal breed substructure, selection signatures and highly inbred regions in Piétrain pigs.

Authors:  W Gorssen; R Meyermans; N Buys; S Janssens
Journal:  Anim Genet       Date:  2019-12-06       Impact factor: 3.169

10.  Trends in genome-wide and region-specific genetic diversity in the Dutch-Flemish Holstein-Friesian breeding program from 1986 to 2015.

Authors:  Harmen P Doekes; Roel F Veerkamp; Piter Bijma; Sipke J Hiemstra; Jack J Windig
Journal:  Genet Sel Evol       Date:  2018-04-11       Impact factor: 4.297

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