Literature DB >> 21360198

Identification of quantitative trait loci associated with rice eating quality traits using a population of recombinant inbred lines derived from a cross between two temperate japonica cultivars.

Soon-Wook Kwon1, Young-Chan Cho, Jeong-Heui Lee, Jung-Pil Suh, Jeong-Ju Kim, Myeong-Ki Kim, Im-Soo Choi, Hung-Goo Hwang, Hee-Jong Koh, Yeon-Gyu Kim.   

Abstract

Improved eating quality is a major breeding target in japonica rice due to market demand. In this study, we performed genetic analysis to identify quantitative trait loci (QTLs) that control rice eating quality traits using 192 recombinant inbred lines (RILs) derived from a cross between two japonica cultivars, 'Suweon365' and 'Chucheongbyeo'. We evaluated the stickiness (ST) and overall evaluation (OE) of cooked rice using a sensory test, the glossiness of cooked rice (GCR) using a Toyo-taste meter, and measured the amylose content (AC), protein content (PC), alkali digestion value (ADV), and days to heading (DH) of the RILs in the years 2006 and 2007. Our analysis revealed 21 QTLs on chromosomes 1, 4, 6, 7, 8, and 11. QTLs on chromosomes 6, 7, and 8 were detected for three traits related to eating quality in both years. QTLs for ST and OE were identified by a sensory test in the same region of the QTLs for AC, PC, ADV, GCR and DH on chromosome 8. QTL effects on the GCR were verified using QTL-NILs (near-isogenic lines) of BC(3)F(4-6) in the Suweon365 background, a low eating quality variety, and some BC(1)F(3) lines. Chucheongbyeo alleles at QTLs on chromosomes 7 and 8 increased the GCR in the NILs and backcrossed lines. The QTLs identified by our analysis will be applicable to future marker-assisted selection (MAS) strategies for improving the eating quality of japonica rice.

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Year:  2011        PMID: 21360198      PMCID: PMC3887606          DOI: 10.1007/s10059-011-0289-y

Source DB:  PubMed          Journal:  Mol Cells        ISSN: 1016-8478            Impact factor:   5.034


  13 in total

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Authors:  K Hayashi; N Hashimoto; M Daigen; I Ashikawa
Journal:  Theor Appl Genet       Date:  2004-01-23       Impact factor: 5.699

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Authors:  Y F Tan; J X Li; S B Yu; Y Z Xing; C G Xu; Q Zhang
Journal:  Theor Appl Genet       Date:  1999-08       Impact factor: 5.699

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Authors:  C C Fan; X Q Yu; Y Z Xing; C G Xu; L J Luo; Qifa Zhang
Journal:  Theor Appl Genet       Date:  2005-04-20       Impact factor: 5.699

4.  Cytokinin oxidase regulates rice grain production.

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Journal:  Science       Date:  2005-06-23       Impact factor: 47.728

5.  Differential regulation of waxy gene expression in rice endosperm.

Authors:  Y Sano
Journal:  Theor Appl Genet       Date:  1984-08       Impact factor: 5.699

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Authors:  Y Harushima; M Yano; A Shomura; M Sato; T Shimano; Y Kuboki; T Yamamoto; S Y Lin; B A Antonio; A Parco; H Kajiya; N Huang; K Yamamoto; Y Nagamura; N Kurata; G S Khush; T Sasaki
Journal:  Genetics       Date:  1998-01       Impact factor: 4.562

7.  Development of near-isogenic Japonica rice lines with enhanced resistance to Magnaporthe grisea.

Authors:  Soon-Wook Kwon; Young-Chan Cho; Yeon-Gyu Kim; Jung-Pil Suh; Ji-Ung Jeung; Jae-Hwan Roh; Sang-Kyu Lee; Jong-Seong Jeon; Sae-Jun Yang; Young-Tae Lee
Journal:  Mol Cells       Date:  2008-04-07       Impact factor: 5.034

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Authors:  T Baba; M Nishihara; K Mizuno; T Kawasaki; H Shimada; E Kobayashi; S Ohnishi; K Tanaka; Y Arai
Journal:  Plant Physiol       Date:  1993-10       Impact factor: 8.340

10.  PCR marker-based evaluation of the eating quality of japonica rice ( Oryza sativa L.).

Authors:  Puji Lestari; Tae-Ho Ham; Ho-Hoon Lee; Mi-Ok Woo; Wenzhu Jiang; Sang-Ho Chu; Soon-Wook Kwon; Kyungho Ma; Jeong-Heui Lee; Young-Chan Cho; Hee-Jong Koh
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2.  Discovery and mapping of genomic regions governing economically important traits of Basmati rice.

Authors:  Lakshminarayana R Vemireddy; Sabahat Noor; V V Satyavathi; A Srividhya; A Kaliappan; Srn Parimala; Prathibha M Bharathi; Dondapati A Deborah; K V Sudhakar Rao; N Shobharani; E A Siddiq; Javaregowda Nagaraju
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4.  Variation in cooking and eating quality traits in Japanese rice germplasm accessions.

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5.  QTL Mapping of Grain Quality Traits Using Introgression Lines Carrying Oryza rufipogon Chromosome Segments in Japonica Rice.

Authors:  Yeo-Tae Yun; Chong-Tae Chung; Young-Ju Lee; Han-Jung Na; Jae-Chul Lee; Sun-Gye Lee; Kwang-Won Lee; Young-Hwan Yoon; Ju-Won Kang; Hyun-Sook Lee; Jong-Yeol Lee; Sang-Nag Ahn
Journal:  Rice (N Y)       Date:  2016-11-24       Impact factor: 4.783

6.  Identification of quantitative trait loci for rice grain quality and yield-related traits in two closely related Oryza sativa L. subsp. japonica cultivars grown near the northernmost limit for rice paddy cultivation.

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7.  Improving the Glossiness of Cooked Rice, an Important Component of Visual Rice Grain Quality.

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8.  Genomic Regions Involved in Differences in Eating and Cooking Quality Other than Wx and Alk Genes between indica and japonica Rice Cultivars.

Authors:  Kiyosumi Hori; Keitaro Suzuki; Haruka Ishikawa; Yasunori Nonoue; Kazufumi Nagata; Shuichi Fukuoka; Junichi Tanaka
Journal:  Rice (N Y)       Date:  2021-01-07       Impact factor: 4.783

9.  Variation in heading date conceals quantitative trait loci for other traits of importance in breeding selection of rice.

Authors:  Kiyosumi Hori; Tomomori Kataoka; Kiyoyuki Miura; Masayuki Yamaguchi; Norikuni Saka; Takahiro Nakahara; Yoshihiro Sunohara; Kaworu Ebana; Masahiro Yano
Journal:  Breed Sci       Date:  2012-11-01       Impact factor: 2.086

Review 10.  Genetic dissection of agronomically important traits in closely related temperate japonica rice cultivars.

Authors:  Kiyosumi Hori; Toshio Yamamoto; Masahiro Yano
Journal:  Breed Sci       Date:  2017-11-15       Impact factor: 2.086

  10 in total

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