Future livestock breeding: Precision breeding based on multi-omics information and population personalization

With the rapid development of molecular biology and related disciplines, animal breeding has moved from conventional breeding to molecular breeding. Marker-assisted selection and genomic selection have become mainstream practices in molecular breeding of livestock. However, these techniques only use...

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Main Authors: Ya-lan YANG, Rong ZHOU, Kui LI
Format: Article
Language:English
Published: Elsevier 2017-12-01
Series:Journal of Integrative Agriculture
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095311917617805
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author Ya-lan YANG
Rong ZHOU
Kui LI
author_facet Ya-lan YANG
Rong ZHOU
Kui LI
author_sort Ya-lan YANG
collection DOAJ
description With the rapid development of molecular biology and related disciplines, animal breeding has moved from conventional breeding to molecular breeding. Marker-assisted selection and genomic selection have become mainstream practices in molecular breeding of livestock. However, these techniques only use information from genomic variation but not multi-omics information, thus do not fully explain the molecular basis of phenotypic variations in complex traits. In addition, the accuracy of breeding value estimation based on these techniques is occasionally controversial in different populations or varieties. Given the rapid development of high-throughput sequencing techniques and functional genome and dramatic reductions in the overall cost of sequencing, it is possible to clarify the interactions between genes and formation of phenotypes using massive sets of omic-level data from studies of the transcriptome, proteome, epigenome, and metabolome. During livestock breeding, multi-omics information regarding breeding populations and individuals should be taken into account. The interactive regulatory networks governing gene regulation and phenotype formation in diverse livestock population, varieties and species should be analyzed. In addition, a multi-omics regulatory breeding model should be constructed. Precision, population-personalized breeding is expected to become a crucial practice in future livestock breeding. Precision breeding of individuals can be achieved by combining population genomic information at multi-omics levels together with genomic selection and genome editing techniques.
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spelling doaj.art-a3cf7e3a0ca4467c85c7b25de39802662022-12-21T22:53:15ZengElsevierJournal of Integrative Agriculture2095-31192017-12-01161227842791Future livestock breeding: Precision breeding based on multi-omics information and population personalizationYa-lan YANG0Rong ZHOU1Kui LI2Correspondence LI Kui; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.ChinaInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.ChinaCorrespondence LI Kui; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R.ChinaWith the rapid development of molecular biology and related disciplines, animal breeding has moved from conventional breeding to molecular breeding. Marker-assisted selection and genomic selection have become mainstream practices in molecular breeding of livestock. However, these techniques only use information from genomic variation but not multi-omics information, thus do not fully explain the molecular basis of phenotypic variations in complex traits. In addition, the accuracy of breeding value estimation based on these techniques is occasionally controversial in different populations or varieties. Given the rapid development of high-throughput sequencing techniques and functional genome and dramatic reductions in the overall cost of sequencing, it is possible to clarify the interactions between genes and formation of phenotypes using massive sets of omic-level data from studies of the transcriptome, proteome, epigenome, and metabolome. During livestock breeding, multi-omics information regarding breeding populations and individuals should be taken into account. The interactive regulatory networks governing gene regulation and phenotype formation in diverse livestock population, varieties and species should be analyzed. In addition, a multi-omics regulatory breeding model should be constructed. Precision, population-personalized breeding is expected to become a crucial practice in future livestock breeding. Precision breeding of individuals can be achieved by combining population genomic information at multi-omics levels together with genomic selection and genome editing techniques.http://www.sciencedirect.com/science/article/pii/S2095311917617805livestock breedingmulti-omicspopulation personalization
spellingShingle Ya-lan YANG
Rong ZHOU
Kui LI
Future livestock breeding: Precision breeding based on multi-omics information and population personalization
Journal of Integrative Agriculture
livestock breeding
multi-omics
population personalization
title Future livestock breeding: Precision breeding based on multi-omics information and population personalization
title_full Future livestock breeding: Precision breeding based on multi-omics information and population personalization
title_fullStr Future livestock breeding: Precision breeding based on multi-omics information and population personalization
title_full_unstemmed Future livestock breeding: Precision breeding based on multi-omics information and population personalization
title_short Future livestock breeding: Precision breeding based on multi-omics information and population personalization
title_sort future livestock breeding precision breeding based on multi omics information and population personalization
topic livestock breeding
multi-omics
population personalization
url http://www.sciencedirect.com/science/article/pii/S2095311917617805
work_keys_str_mv AT yalanyang futurelivestockbreedingprecisionbreedingbasedonmultiomicsinformationandpopulationpersonalization
AT rongzhou futurelivestockbreedingprecisionbreedingbasedonmultiomicsinformationandpopulationpersonalization
AT kuili futurelivestockbreedingprecisionbreedingbasedonmultiomicsinformationandpopulationpersonalization