Development of 12 sets of chromosome segment substitution lines that enhance allele mining in Asian cultivated rice

Kazufumi Nagata, Yasunori Nonoue, Kazuki Matsubara, Ritsuko Mizobuchi, Nozomi Ono, Taeko Shibaya, Kaworu Ebana, Eri Ogiso-Tanaka, Takanari Tanabata, Kazuhiko Sugimoto, Fumio Taguchi-Shiobara, Jun Ichi Yonemaru, Yusaku Uga, Atsunori Fukuda, Tadamasa Ueda, Shin Ichi Yamamoto, Utako Yamanouchi, Toshiyuki Takai, Takashi Ikka, Katsuhiko KondoTomoki Hoshino, Eiji Yamamoto, Shunsuke Adachi, Jian Sun, Noriyuki Kuya, Yuka Kitomi, Ken Iijima, Hideki Nagasaki, Ayahiko Shomura, Tatsumi Mizubayashi, Noriyuki Kitazawa, Kiyosumi Hori, Tsuyu Ando, Toshio Yamamoto, Shuichi Fukuoka, Masahiro Yano

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Many agronomic traits that are important in rice breeding are controlled by multiple genes. The extensive time and effort devoted so far to identifying and selecting such genes are still not enough to target multiple agronomic traits in practical breeding in Japan because of a lack of suitable plant materials in which to effi-ciently detect and validate beneficial alleles from diverse genetic resources. To facilitate the comprehensive analysis of genetic variation in agronomic traits among Asian cultivated rice, we developed 12 sets of chromosome segment substitution lines (CSSLs) with the japonica background, 11 of them in the same genetic background, using donors representing the genetic diversity of Asian cultivated rice. Using these materials, we overviewed the chromosomal locations of 1079 putative QTLs for seven agronomic traits and their allelic distribution in Asian cultivated rice through multiple linear regression analysis. The CSSLs will allow the effects of putative QTLs in the highly homogeneous japonica background to be validated.

Original languageEnglish
Pages (from-to)332-342
Number of pages11
JournalBreeding Science
Volume73
Issue number3
DOIs
Publication statusPublished - 2023
Externally publishedYes

Keywords

  • CSSLs
  • Oryza sativa L
  • advanced mapping population
  • allele mining

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Genetics
  • Plant Science

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