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Single nucleotide polymorphism analysis of Korean native chickens using next generation sequencing data

  • Dong Won Seo
  • , Jae Don Oh
  • , Shil Jin
  • , Ki Duk Song
  • , Hee Bok Park
  • , Kang Nyeong Heo
  • , Younhee Shin
  • , Myunghee Jung
  • , Junhyung Park
  • , Cheorun Jo
  • , Hak Kyo Lee
  • , Jun Heon Lee*
  • *Corresponding author for this work
  • Chungnam National University
  • Hankyong National University
  • Gyeongsang National University
  • United States Food and Drug Administration
  • Codes Division
  • Seoul National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

There are five native chicken lines in Korea, which are mainly classified by plumage colors (black, white, red, yellow, gray). These five lines are very important genetic resources in the Korean poultry industry. Based on a next generation sequencing technology, whole genome sequence and reference assemblies were performed using Gallus_gallus_4.0 (NCBI) with whole genome sequences from these lines to identify common and novel single nucleotide polymorphisms (SNPs). We obtained 36,660,731,136 ± 1,257,159,120 bp of raw sequence and average 26.6-fold of 25–29 billion reference assembly sequences representing 97.288 % coverage. Also, 4,006,068 ± 97,534 SNPs were observed from 29 autosomes and the Z chromosome and, of these, 752,309 SNPs are the common SNPs across lines. Among the identified SNPs, the number of novel- and known-location assigned SNPs was 1,047,951 ± 14,956 and 2,948,648 ± 81,414, respectively. The number of unassigned known SNPs was 1,181 ± 150 and unassigned novel SNPs was 8,238 ± 1,019. Synonymous SNPs, non-synonymous SNPs, and SNPs having character changes were 26,266 ± 1,456, 11,467 ± 604, 8,180 ± 458, respectively. Overall, 443,048 ± 26,389 SNPs in each bird were identified by comparing with dbSNP in NCBI. The presently obtained genome sequence and SNP information in Korean native chickens have wide applications for further genome studies such as genetic diversity studies to detect causative mutations for economic and disease related traits.

Original languageEnglish
Pages (from-to)471-477
Number of pages7
JournalMolecular Biology Reports
Volume42
Issue number2
DOIs
StatePublished - 2015.02

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

Keywords

  • Genome sequence assembly
  • Korean native chicken
  • Next-generation sequencing
  • Single nucleotide polymorphism

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