QTL analysis and gwas of agronomic traits in sweetpotato (Ipomoea batatas l.) using genome wide SNPs

Emdadul Haque, Hiroaki Tabuchi, Yuki Monden, Keisuke Suematsu, Kenta Shirasawa, Sachiko Isobe, Masaru Tanaka

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


While sweetpotato (Ipomoea batatas L.) improvement has generally been done by field-based selection, molecular genetic studies on traits of interest, i.e., molecular markers are needed for enhancing the breeding program of this world’s 7th most important crop, as such markers facilitate marker-assisted selection. Here, we performed a combined approach of QTLs analyses and GWAS of storage root β-carotene content (BC), dry-matter (DM) and starch content (SC) using the genetic linkage maps constructed with 5,952 and 5,640 SNPs obtained from F1 progenies between cultivars ‘J-Red’ and ‘Choshu’. BC was negatively correlated with DM (r = –0.45) and SC (r = –0.51), while DM was positively correlated with SC (r = 0.94). In both parental maps, a total of five, two and five QTL regions on linkage groups 7 and 8 were associated with BC, DM and SC, respectively. In GWAS of BC, one strong signal (P = 1.04 × 10–9) was observed on linkage group 8, which co-located with one of the above QTL regions. The SNPs markers found here, particularly for β-carotene, would be useful base resources for future marker-assisted selection program with this trait.

Original languageEnglish
Pages (from-to)283-291
Number of pages9
JournalBreeding Science
Issue number3
Publication statusPublished - 2020


  • DdRAD SNPs
  • GWAS
  • QTL
  • Root dry-matter
  • Starch
  • Sweetpotato
  • β-carotene

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Genetics
  • Plant Science


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