QTL map meets population genomics: An application to rice

Jeffrey A. Fawcett, Tomoyuki Kado, Eriko Sasaki, Shohei Takuno, Kentaro Yoshida, Ryuichi P. Sugino, Shunichi Kosugi, Satoshi Natsume, Chikako Mitsuoka, Aiko Uemura, Hiroki Takagi, Akira Abe, Takashige Ishii, Ryohei Terauchi, Hideki Innan

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Genes involved in the transition from wild to cultivated crop species should be of great agronomic importance. Population genomic approaches utilizing genome resequencing data have been recently applied for this purpose, although it only reports a large list of candidate genes with no biological information. Here, by resequencing more than 30 genomes altogether of wild rice Oryza rufipogon and cultivated rice O. sativa, we identified a number of regions with clear footprints of selection during the domestication process. We then focused on identifying candidate domestication genes in these regions by utilizing the wealth of QTL information in rice. We were able to identify a number of interesting candidates such as transcription factors that should control key domestication traits such as shattering, awn length, and seed dormancy. Other candidates include those that might have been related to the improvement of grain quality and those that might have been involved in the local adaptation to dry conditions and colder environments. Our study shows that population genomic approaches and QTL mapping information can be used together to identify genes that might be of agronomic importance.

Original languageEnglish
Article numbere83720
JournalPloS one
Volume8
Issue number12
DOIs
Publication statusPublished - Dec 23 2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

Fingerprint

Dive into the research topics of 'QTL map meets population genomics: An application to rice'. Together they form a unique fingerprint.

Cite this