Literature DB >> 19508361

Identification of quantitative trait loci for rice quality in a population of chromosome segment substitution lines.

Wei Hao1, Mei-Zhen Zhu, Ji-Ping Gao, Shi-Yong Sun, Hong-Xuan Lin.   

Abstract

The demand for high quality rice represents a major issue in rice production. The primary components of rice grain quality include appearance, eating, cooking, physico-chemical, milling and nutritional qualities. Most of these traits are complex and controlled by quantitative trait loci (QTLs), so the genetic characterization of these traits is more difficult than that of traits controlled by a single gene. The detection and genetic identification of QTLs can provide insights into the genetic mechanisms underlying quality traits. Chromosome segment substitution lines (CSSLs) are effective tools used in mapping QTLs. In this study, we constructed 154 CSSLs from backcross progeny (BC(3)F(2)) derived from a cross between 'Koshihikari' (an Oryza sativa L. ssp. japonica variety) as the recurrent parent and 'Nona Bokra' (an O. sativa L. ssp. indica variety) as the donor parent. In this process, we carried out marker-assisted selection by using 102 cleaved amplified polymorphic sequence and simple sequence repeat markers covering most of the rice genome. Finally, this set of CSSLs was used to identify QTLs for rice quality traits. Ten QTLs for rice appearance quality traits were detected and eight QTLs concerned physico-chemical traits. These results supply the foundation for further genetic studies and breeding for the improvement of grain quality.

Entities:  

Mesh:

Year:  2009        PMID: 19508361     DOI: 10.1111/j.1744-7909.2009.00822.x

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  16 in total

1.  QTL mapping and correlation analysis for 1000-grain weight and percentage of grains with chalkiness in rice.

Authors:  Jian-Min Bian; Huan Shi; Cui-Juan Li; Chang-Lan Zhu; Qiu-Ying Yu; Xiao-Song Peng; Jun-Ru Fu; Xiao-Peng He; Xiao-Rong Chen; Li-Fang Hu; Lin-Juan Ouyang; Hao-Hua He
Journal:  J Genet       Date:  2013       Impact factor: 1.166

2.  Mapping QTL main and interaction influences on milling quality in elite US rice germplasm.

Authors:  J C Nelson; A M McClung; R G Fjellstrom; K A K Moldenhauer; E Boza; F Jodari; J H Oard; S Linscombe; B E Scheffler; K M Yeater
Journal:  Theor Appl Genet       Date:  2010-09-21       Impact factor: 5.699

3.  Natural alleles of a proteasome α2 subunit gene contribute to thermotolerance and adaptation of African rice.

Authors:  Xin-Min Li; Dai-Yin Chao; Yuan Wu; Xuehui Huang; Ke Chen; Long-Gang Cui; Lei Su; Wang-Wei Ye; Hao Chen; Hua-Chang Chen; Nai-Qian Dong; Tao Guo; Min Shi; Qi Feng; Peng Zhang; Bin Han; Jun-Xiang Shan; Ji-Ping Gao; Hong-Xuan Lin
Journal:  Nat Genet       Date:  2015-05-18       Impact factor: 38.330

Review 4.  Development and use of chromosome segment substitution lines as a genetic resource for crop improvement.

Authors:  Divya Balakrishnan; Malathi Surapaneni; Sukumar Mesapogu; Sarla Neelamraju
Journal:  Theor Appl Genet       Date:  2018-11-27       Impact factor: 5.699

5.  Superior haplotypes towards development of low glycemic index rice with preferred grain and cooking quality.

Authors:  Ramchander Selvaraj; Arun Kumar Singh; Vikas Kumar Singh; Ragavendran Abbai; Sonali Vijay Habde; Uma Maheshwar Singh; Arvind Kumar
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

6.  Deep sequencing reveals the complex and coordinated transcriptional regulation of genes related to grain quality in rice cultivars.

Authors:  Rc Venu; Mv Sreerekha; Kan Nobuta; André Beló; Yuese Ning; Gynheung An; Blake C Meyers; Guo-Liang Wang
Journal:  BMC Genomics       Date:  2011-04-14       Impact factor: 3.969

7.  Identification of genomic regions and the isoamylase gene for reduced grain chalkiness in rice.

Authors:  Wenqian Sun; Qiaoling Zhou; Yue Yao; Xianjin Qiu; Kun Xie; Sibin Yu
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

8.  Mapping Quantitative Trait Loci Associated with Toot Traits Using Sequencing-Based Genotyping Chromosome Segment Substitution Lines Derived from 9311 and Nipponbare in Rice (Oryza sativa L.).

Authors:  Yong Zhou; Guichun Dong; Yajun Tao; Chen Chen; Bin Yang; Yue Wu; Zefeng Yang; Guohua Liang; Baohe Wang; Yulong Wang
Journal:  PLoS One       Date:  2016-03-24       Impact factor: 3.240

9.  Fine mapping of stable QTLs related to eating quality in rice (Oryza sativa L.) by CSSLs harboring small target chromosomal segments.

Authors:  Jingjing Li; Wenwei Zhang; Hongkai Wu; Tao Guo; Xiaolu Liu; Xiangyuan Wan; Jiansheng Jin; Than Thi Thu Hanh; Nguyen Thi Nhu Thoa; Mingjiang Chen; Shijia Liu; Liangming Chen; Xi Liu; Jiankang Wang; Huqu Zhai; Jianmin Wan
Journal:  Breed Sci       Date:  2011-12-15       Impact factor: 2.086

10.  Detection and verification of QTLs associated with heat-induced quality decline of rice (Oryza sativa L.) using recombinant inbred lines and near-isogenic lines.

Authors:  Asako Kobayashi; Junya Sonoda; Kazuhiko Sugimoto; Motohiko Kondo; Norio Iwasawa; Takeshi Hayashi; Katsura Tomita; Masahiro Yano; Toyohiro Shimizu
Journal:  Breed Sci       Date:  2013-09-01       Impact factor: 2.086

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.