Literature DB >> 28887658

Genetic dissection of grain traits in Yamadanishiki, an excellent sake-brewing rice cultivar.

Satoshi Okada1, Miki Suehiro1, Kaworu Ebana2, Kiyosumi Hori3, Akio Onogi4, Hiroyoshi Iwata4, Masanori Yamasaki5.   

Abstract

KEY MESSAGE: The grain traits of Yamadanishiki, an excellent sake-brewing rice cultivar in Japan, are governed by multiple QTLs, namely, a total of 42 QTLs including six major QTLs. Japanese rice wine (sake) is produced using brewing rice (Oryza sativa L.) that carries traits desirable for sake-brewing, such as a larger grain size and higher white-core expression rate (WCE) compared to cooking rice cultivars. However, the genetic basis for these traits in brewing rice cultivars is still unclear. We performed analyses of quantitative trait locus (QTL) of grain and days to heading over 3 years on populations derived from crosses between Koshihikari, a cooking rice, and Yamadanishiki, an excellent sake-brewing rice. A total of 42 QTLs were detected for the grain traits, and the Yamadanishiki alleles at 16 QTLs contributed to larger grain size. Two major QTLs essential for regulating both 100-grain weight (GWt) and grain width (GWh) were harbored in the same regions on chromosomes 5 and 10. An interaction was noted between the environment and the QTL associated with WCE on chromosome 6, which was detected in two of 3 years. In addition, two QTLs for WCE on chromosomes 3 and 10 overlapped with the QTLs for GWt and GWh, suggesting that QTLs associated with grain size also play an important role in the formation of white-core. Despite differences in the rate of grain growth in both Koshihikari and Yamadanishiki across 2 years, the WCE in Yamadanishiki remained consistent, thus demonstrating that the formation of white-core does not depend on grain filling speed. These data can be informative for programs involved in breeding better cooking and brewing rice cultivars.

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Year:  2017        PMID: 28887658     DOI: 10.1007/s00122-017-2977-2

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  40 in total

1.  A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase.

Authors:  Xian-Jun Song; Wei Huang; Min Shi; Mei-Zhen Zhu; Hong-Xuan Lin
Journal:  Nat Genet       Date:  2007-04-08       Impact factor: 38.330

2.  QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations.

Authors:  Jian Yang; Chengcheng Hu; Han Hu; Rongdong Yu; Zhen Xia; Xiuzi Ye; Jun Zhu
Journal:  Bioinformatics       Date:  2008-01-17       Impact factor: 6.937

3.  Deletion in a gene associated with grain size increased yields during rice domestication.

Authors:  Ayahiko Shomura; Takeshi Izawa; Kaworu Ebana; Takeshi Ebitani; Hiromi Kanegae; Saeko Konishi; Masahiro Yano
Journal:  Nat Genet       Date:  2008-07-06       Impact factor: 38.330

4.  Control of rice grain-filling and yield by a gene with a potential signature of domestication.

Authors:  Ertao Wang; Jianjun Wang; Xudong Zhu; Wei Hao; Linyou Wang; Qun Li; Lixia Zhang; Wei He; Baorong Lu; Hongxuan Lin; Hong Ma; Guiquan Zhang; Zuhua He
Journal:  Nat Genet       Date:  2008-09-28       Impact factor: 38.330

5.  Biochemical and genetic analysis of the effects of amylose-extender mutation in rice endosperm.

Authors:  A Nishi; Y Nakamura; N Tanaka; H Satoh
Journal:  Plant Physiol       Date:  2001-10       Impact factor: 8.340

6.  Comparative mapping of chalkiness components in rice using five populations across two environments.

Authors:  Bo Peng; Lingqiang Wang; Chuchuan Fan; Gonghao Jiang; Lijun Luo; Yibo Li; Yuqing He
Journal:  BMC Genet       Date:  2014-04-26       Impact factor: 2.797

7.  Detection of QTLs for white-back and basal-white grains caused by high temperature during ripening period in japonica rice.

Authors:  Takuya Wada; Katsunori Miyahara; Jun-Ya Sonoda; Tadashi Tsukaguchi; Masayuki Miyazaki; Masao Tsubone; Tsuyu Ando; Kaworu Ebana; Toshio Yamamoto; Norio Iwasawa; Takayuki Umemoto; Motohiko Kondo; Masahiro Yano
Journal:  Breed Sci       Date:  2015-06-01       Impact factor: 2.086

8.  Examining two sets of introgression lines reveals background-independent and stably expressed QTL that improve grain appearance quality in rice (Oryza sativa L.).

Authors:  Xianjin Qiu; Kai Chen; Wenkai Lv; Xiaoxue Ou; Yajun Zhu; Danying Xing; Longwei Yang; Fangjun Fan; Jie Yang; Jianlong Xu; Tianqing Zheng; Zhikang Li
Journal:  Theor Appl Genet       Date:  2017-03-15       Impact factor: 5.699

9.  Advanced backcross QTL analysis reveals complicated genetic control of rice grain shape in a japonica × indica cross.

Authors:  Kazufumi Nagata; Tsuyu Ando; Yasunori Nonoue; Tatsumi Mizubayashi; Noriyuki Kitazawa; Ayahiko Shomura; Kazuki Matsubara; Nozomi Ono; Ritsuko Mizobuchi; Taeko Shibaya; Eri Ogiso-Tanaka; Kiyosumi Hori; Masahiro Yano; Shuichi Fukuoka
Journal:  Breed Sci       Date:  2015-09-01       Impact factor: 2.086

10.  Hd16, a gene for casein kinase I, is involved in the control of rice flowering time by modulating the day-length response.

Authors:  Kiyosumi Hori; Eri Ogiso-Tanaka; Kazuki Matsubara; Utako Yamanouchi; Kaworu Ebana; Masahiro Yano
Journal:  Plant J       Date:  2013-07-25       Impact factor: 6.417

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  4 in total

1.  Identification of QTLs for rice grain size using a novel set of chromosomal segment substitution lines derived from Yamadanishiki in the genetic background of Koshihikari.

Authors:  Satoshi Okada; Akio Onogi; Ken Iijima; Kiyosumi Hori; Hiroyoshi Iwata; Wakana Yokoyama; Miki Suehiro; Masanori Yamasaki
Journal:  Breed Sci       Date:  2017-09-06       Impact factor: 2.086

Review 2.  Research advances on sake rice, koji, and sake yeast: A review.

Authors:  Kaizheng Zhang; Wenchi Wu; Qin Yan
Journal:  Food Sci Nutr       Date:  2020-05-19       Impact factor: 2.863

3.  Validation of a quantitative trait locus for the white-core expression rate of grain on chromosome 6 in a brewing rice cultivar and development of DNA markers for marker-assisted selection.

Authors:  Satoshi Okada; Masanori Yamasaki
Journal:  Breed Sci       Date:  2019-07-06       Impact factor: 2.086

4.  A novel Rice QTL qOPW11 Associated with Panicle Weight Affects Panicle and Plant Architecture.

Authors:  Satoshi Okada; Megumi Sasaki; Masanori Yamasaki
Journal:  Rice (N Y)       Date:  2018-09-17       Impact factor: 4.783

  4 in total

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