Literature DB >> 18274724

Detection of QTLs with additive effects and additive-by-environment interaction effects on panicle number in rice (Oryza sativa L.) with single-segment substitution lines.

Guifu Liu1, Zemin Zhang, Haitao Zhu, Fangming Zhao, Xiaohua Ding, Ruizhen Zeng, Wentao Li, Guiquan Zhang.   

Abstract

A novel population consisting of 35 single-segment substitution lines (SSSLs) originating from crosses between the recipient parent, Hua-jing-xian 74 (HJX74), and 17 donor parents was evaluated in six cropping season environments to reveal the genetic basis of genetic main effect (G) and genotype-by-environment interaction effect (GE) for panicle number (PN) in rice. Subsets of lines were grown in up to six environments. An indirect analysis method was applied, in which the total genetic effect was first partitioned into G and GE by using the mixed linear-model approach, and then QTL (quantitative trait locus) analyses on these effects were conducted separately. At least 18 QTLs for PN in rice were detected and identified on 9 of 12 rice chromosomes. A single QTL effect (a + ae) ranging from -1.5 to 1.2 was divided into two components, additive effect (a) and additive x environment interaction effect (ae). A total number of 9 and 16 QTLs were identified with a ranging from -0.4 to 0.6 and ae ranging from -1.0 to 0.6, respectively, the former being stable but the latter unstable across environments. Three types of QTLs were suggested according to their effects expressed. Two QTLs (Pn-1b and Pn-6d) expressed stably across environments due to the association with only a, nine QTLs (Pn-1a, Pn-3c, Pn-3d, Pn-4, Pn-6a, Pn-6b, Pn-8, Pn-9 and Pn-12) with only ae were unstable, and the remaining seven of QTLs were identified with both a and ae, which also were unstable across environments. This is the first report on the detection of QE (QTL-by-environment interaction effect) of QTLs with SSSLs. Our results illustrate the efficiency of characterizing QTLs and analyzing action of QTLs through SSSLs, and further demonstrate that QE is an important property of many QTLs. Information provided in this paper could be used in the application of marker-assisted selection to manipulate PN in rice.

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Year:  2008        PMID: 18274724     DOI: 10.1007/s00122-008-0724-4

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


  16 in total

1.  Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS.

Authors:  M Yano; Y Katayose; M Ashikari; U Yamanouchi; L Monna; T Fuse; T Baba; K Yamamoto; Y Umehara; Y Nagamura; T Sasaki
Journal:  Plant Cell       Date:  2000-12       Impact factor: 11.277

2.  Hd6, a rice quantitative trait locus involved in photoperiod sensitivity, encodes the alpha subunit of protein kinase CK2.

Authors:  Y Takahashi; A Shomura; T Sasaki; M Yano
Journal:  Proc Natl Acad Sci U S A       Date:  2001-06-19       Impact factor: 11.205

3.  QTL x environment interactions in rice. I. heading date and plant height.

Authors:  Z K Li; S B Yu; H R Lafitte; N Huang; B Courtois; S Hittalmani; C H M Vijayakumar; G F Liu; G C Wang; H E Shashidhar; J Y Zhuang; K L Zheng; V P Singh; J S Sidhu; S Srivantaneeyakul; G S Khush
Journal:  Theor Appl Genet       Date:  2003-09-05       Impact factor: 5.699

4.  Characterization of the genetic basis for yield and its component traits of rice revealed by doubled haploid population.

Authors:  Gong-Hao Jiang; Cai-Guo Xu; Xiang-Hua Li; Yu-Qing He
Journal:  Yi Chuan Xue Bao       Date:  2004-01

5.  Diallel analysis for sex-linked and maternal effects.

Authors:  J Zhu; B S Weir
Journal:  Theor Appl Genet       Date:  1996-01       Impact factor: 5.699

6.  Control of tillering in rice.

Authors:  Xueyong Li; Qian Qian; Zhiming Fu; Yonghong Wang; Guosheng Xiong; Dali Zeng; Xiaoqun Wang; Xinfang Liu; Sheng Teng; Fujimoto Hiroshi; Ming Yuan; Da Luo; Bin Han; Jiayang Li
Journal:  Nature       Date:  2003-04-10       Impact factor: 49.962

7.  Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments.

Authors:  A H Paterson; S Damon; J D Hewitt; D Zamir; H D Rabinowitch; S E Lincoln; E S Lander; S D Tanksley
Journal:  Genetics       Date:  1991-01       Impact factor: 4.562

8.  Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits.

Authors:  Feng Tian; De Jun Li; Qiang Fu; Zuo Feng Zhu; Yong Cai Fu; Xiang Kun Wang; Chuan Qing Sun
Journal:  Theor Appl Genet       Date:  2005-12-06       Impact factor: 5.699

9.  Epistasis for three grain yield components in rice (Oryza sativa L.).

Authors:  Z Li; S R Pinson; W D Park; A H Paterson; J W Stansel
Journal:  Genetics       Date:  1997-02       Impact factor: 4.562

10.  An introgression line population of Lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL.

Authors:  Y Eshed; D Zamir
Journal:  Genetics       Date:  1995-11       Impact factor: 4.562

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  17 in total

1.  Dissection and fine mapping of a major QTL for preharvest sprouting resistance in white wheat Rio Blanco.

Authors:  Shubing Liu; Guihua Bai
Journal:  Theor Appl Genet       Date:  2010-07-04       Impact factor: 5.699

2.  Dynamic expression of nine QTLs for tiller number detected with single segment substitution lines in rice.

Authors:  Guifu Liu; Ruizhen Zeng; Haitao Zhu; Zemin Zhang; Xiaohua Ding; Fangming Zhao; Wentao Li; Guiquan Zhang
Journal:  Theor Appl Genet       Date:  2008-10-24       Impact factor: 5.699

3.  Unconditional and conditional QTL mapping for the developmental behavior of tiller number in rice (Oryza sativa L.).

Authors:  Guifu Liu; Haitao Zhu; Shuwen Liu; Ruizhen Zeng; Zemin Zhang; Wentao Li; Xiaohua Ding; Fangming Zhao; Guiquan Zhang
Journal:  Genetica       Date:  2010-07-11       Impact factor: 1.082

4.  Dynamic analysis of QTLs on tiller number in rice (Oryza sativa L.) with single segment substitution lines.

Authors:  Guifu Liu; Haitao Zhu; Guiquan Zhang; Lanhai Li; Guoyou Ye
Journal:  Theor Appl Genet       Date:  2012-02-21       Impact factor: 5.699

5.  Substitution mapping of QTLs controlling seed dormancy using single segment substitution lines derived from multiple cultivated rice donors in seven cropping seasons.

Authors:  Yuliang Zhou; Yuehua Xie; Jinling Cai; Chunbao Liu; Haitao Zhu; Ru Jiang; Yueying Zhong; Guoliang Zhang; Bin Tan; Guifu Liu; Xuelin Fu; Ziqiang Liu; Shaokui Wang; Guiquan Zhang; Ruizhen Zeng
Journal:  Theor Appl Genet       Date:  2017-03-10       Impact factor: 5.699

6.  Detection and characterization of epistasis between QTLs on plant height in rice using single segment substitution lines.

Authors:  Haitao Zhu; Ziqiang Liu; Xuelin Fu; Ziju Dai; Shaokui Wang; Guiquan Zhang; Ruizhen Zeng; Guifu Liu
Journal:  Breed Sci       Date:  2015-06-01       Impact factor: 2.086

7.  Development and GBS-genotyping of introgression lines (ILs) using two wild species of rice, O. meridionalis and O. rufipogon, in a common recurrent parent, O. sativa cv. Curinga.

Authors:  Juan D Arbelaez; Laura T Moreno; Namrata Singh; Chih-Wei Tung; Lyza G Maron; Yolima Ospina; César P Martinez; Cécile Grenier; Mathias Lorieux; Susan McCouch
Journal:  Mol Breed       Date:  2015-02-14       Impact factor: 2.589

8.  Identification of a Rice stripe necrosis virus resistance locus and yield component QTLs using Oryza sativa x O. glaberrima introgression lines.

Authors:  Andrés Gonzalo Gutiérrez; Silvio James Carabalí; Olga Ximena Giraldo; César Pompilio Martínez; Fernando Correa; Gustavo Prado; Joe Tohme; Mathias Lorieux
Journal:  BMC Plant Biol       Date:  2010-01-08       Impact factor: 4.215

9.  Identification, pyramid and candidate genes of QTLs for associated traits based on a dense erect panicle rice CSSL-Z749 and five SSSLs, three DSSLs and one TSSL.

Authors:  Dachuan Wang; Kai Zhou; Siqian Xiang; Qiuli Zhang; Ruxiang Li; Miaomiao Li; Peixuan Liang; Naz Farkhanda; Guanghua He; Yinghua Ling; Fangming Zhao
Journal:  Rice (N Y)       Date:  2021-06-16       Impact factor: 4.783

Review 10.  Towards the understanding of complex traits in rice: substantially or superficially?

Authors:  Toshio Yamamoto; Junichi Yonemaru; Masahiro Yano
Journal:  DNA Res       Date:  2009-04-09       Impact factor: 4.458

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