Aditi Sharma1, Jong-Eun Park1, Han-Ha Chai1, Gul-Won Jang1, Seung-Hwan Lee2 and Dajeong Lim1*
1Animal Genomics & Bioinformatics Division, National Institute of Animal science, RDA, Jeollabuk-do, Republic of Korea
2Division of animal and dairy science, Chungnam National University, Daejeon 34134, Republic of Korea
Correspondence to Dajeong Lim, E-mail: lim.dj@korea.kr
Volume 1, Number 1, Pages 23-30, September 2017.
Journal of Animal Breeding and Genomics 2017, 1(1), 23-30. https://doi.org/10.12972/jabng.20170003
Received on 3 July, 2017, Revised on 20 August, 2017, Accepted on 25 August, 2017, Published on September 30, 2017.
Copyright © 2017 Korean Society of Animal Breeding and Genetics.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0).
Technological advances in molecular biology during the last decade have opened up possibilities to rapidly and accurately generate large-scale sequencing data from non-model organisms at an affordable cost. Next generation sequencing (NGS) had led us to a better understanding of genome organization, structure, function and evolution in livestock animals. NGS provides a high resolution view of the DNA/RNA sequence which is a distinct advantage over other methods. NGS is a first step toward understanding the genetic mechanisms of an animal’s functions and its interaction with the environment. It has been utilized widely now to study complex traits in different species. NGS is expected to bring down the overall cost of the animal production, increase the yield, improve the quality of meat and milk, provide better disease resistance and improve reproductive health of livestock. In this paper we review the applications of NGS in livestock animals.
Next generation sequencing, livestock, genomics, transcriptomics
This work was supported by project number PJ01098901. Funders had no role in design of the study or in writing of the manuscript.