Genomics in animal breeding from the perspectives of matrices and molecules

Abstract Background This paper describes genomics from two perspectives that are in use in animal breeding and genetics: a statistical perspective concentrating on models for estimating breeding values, and a sequence perspective concentrating on the function of DNA molecules. Main body This paper r...

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Main Author: Martin Johnsson
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Hereditas
Subjects:
Online Access:https://doi.org/10.1186/s41065-023-00285-w
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author Martin Johnsson
author_facet Martin Johnsson
author_sort Martin Johnsson
collection DOAJ
description Abstract Background This paper describes genomics from two perspectives that are in use in animal breeding and genetics: a statistical perspective concentrating on models for estimating breeding values, and a sequence perspective concentrating on the function of DNA molecules. Main body This paper reviews the development of genomics in animal breeding and speculates on its future from these two perspectives. From the statistical perspective, genomic data are large sets of markers of ancestry; animal breeding makes use of them while remaining agnostic about their function. From the sequence perspective, genomic data are a source of causative variants; what animal breeding needs is to identify and make use of them. Conclusion The statistical perspective, in the form of genomic selection, is the more applicable in contemporary breeding. Animal genomics researchers using from the sequence perspective are still working towards this the isolation of causative variants, equipped with new technologies but continuing a decades-long line of research.
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spelling doaj.art-40e0a5fcbb5a4ef2900c6f9005696dfa2023-05-21T11:18:08ZengBMCHereditas1601-52232023-05-01160111110.1186/s41065-023-00285-wGenomics in animal breeding from the perspectives of matrices and moleculesMartin Johnsson0Department of Animal Breeding and Genetics, Swedish University of Agricultural SciencesAbstract Background This paper describes genomics from two perspectives that are in use in animal breeding and genetics: a statistical perspective concentrating on models for estimating breeding values, and a sequence perspective concentrating on the function of DNA molecules. Main body This paper reviews the development of genomics in animal breeding and speculates on its future from these two perspectives. From the statistical perspective, genomic data are large sets of markers of ancestry; animal breeding makes use of them while remaining agnostic about their function. From the sequence perspective, genomic data are a source of causative variants; what animal breeding needs is to identify and make use of them. Conclusion The statistical perspective, in the form of genomic selection, is the more applicable in contemporary breeding. Animal genomics researchers using from the sequence perspective are still working towards this the isolation of causative variants, equipped with new technologies but continuing a decades-long line of research.https://doi.org/10.1186/s41065-023-00285-wGenomicsAnimal breedingGenomic selectionGene editing
spellingShingle Martin Johnsson
Genomics in animal breeding from the perspectives of matrices and molecules
Hereditas
Genomics
Animal breeding
Genomic selection
Gene editing
title Genomics in animal breeding from the perspectives of matrices and molecules
title_full Genomics in animal breeding from the perspectives of matrices and molecules
title_fullStr Genomics in animal breeding from the perspectives of matrices and molecules
title_full_unstemmed Genomics in animal breeding from the perspectives of matrices and molecules
title_short Genomics in animal breeding from the perspectives of matrices and molecules
title_sort genomics in animal breeding from the perspectives of matrices and molecules
topic Genomics
Animal breeding
Genomic selection
Gene editing
url https://doi.org/10.1186/s41065-023-00285-w
work_keys_str_mv AT martinjohnsson genomicsinanimalbreedingfromtheperspectivesofmatricesandmolecules