Literature DB >> 18219477

Fine mapping of a major quantitative trait loci, qSSP7, controlling the number of spikelets per panicle as a single Mendelian factor in rice.

Y Z Xing1, W J Tang, W Y Xue, C G Xu, Qifa Zhang.   

Abstract

In our previous studies, one putative QTL affecting number of spikelets per panicle (SPP) was identified in the pericentromeric region of rice chromosome 7 using a recombinant inbred population. In order to define the QTL (qSPP7), RI50, a recombinant inbred line with 70% of genetic background same as the female parent of Zhenshan 97, was selected to produce near-isogenic lines for the target region in the present study. In a BC(2)F(2) population consisting of 190 plants, the frequency distribution of SPP was shown to be discontinuous and followed the expected Mendelian ratios (1:2:1 by progeny test) for single locus segregation. qSPP7 was mapped to a 0.4 cM region between SSR marker RM3859 and RFLP marker C39 based on tests of the BC(2)F(2) population and its progeny. Its additive and dominant effects on SPP were 51.1 and 24.9 spikelets, respectively. Of great interest, the QTL region also had effects on grain yield per plant (YD), 1,000 grain weight (GW), tillers per plant (TPP) and seed setting ratio (SR). Significant correlations were observed between SPP and YD (r = 0.66) and between SPP and SR (r = -0.29) in the progeny test. 1082 extremely small panicle plants of a BC(3)F(2) population containing 8,400 individuals were further used to fine map the QTL. It turns out that qSPP7 co-segregated with two markers, RM5436 and RM5499 spanning a physical distance of 912.4 kb. Overall results suggested that recombination suppression occurred in the region and positional cloning strategy is infeasible for qSPP7 isolation. The higher grain yield of Minghui 63 homozygote as compared to the heterozygote suggested that Minghui 63 homozygote at qSPP7 in hybrid rice could further improve its yield.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18219477     DOI: 10.1007/s00122-008-0711-9

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


  26 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.  Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance.

Authors:  J P Hua; Y Z Xing; C G Xu; X L Sun; S B Yu; Qifa Zhang
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

3.  High density molecular linkage maps of the tomato and potato genomes.

Authors:  S D Tanksley; M W Ganal; J P Prince; M C de Vicente; M W Bonierbale; P Broun; T M Fulton; J J Giovannoni; S Grandillo; G B Martin
Journal:  Genetics       Date:  1992-12       Impact factor: 4.562

4.  Comparison of quantitative trait loci controlling seedling characteristics at two seedling stages using rice recombinant inbred lines.

Authors:  C G Xu; X Q Li; Y Xue; Y W Huang; J Gao; Y Z Xing
Journal:  Theor Appl Genet       Date:  2004-04-21       Impact factor: 5.699

5.  Cytokinin oxidase regulates rice grain production.

Authors:  Motoyuki Ashikari; Hitoshi Sakakibara; Shaoyang Lin; Toshio Yamamoto; Tomonori Takashi; Asuka Nishimura; Enrique R Angeles; Qian Qian; Hidemi Kitano; Makoto Matsuoka
Journal:  Science       Date:  2005-06-23       Impact factor: 47.728

6.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

7.  Using bulked extremes and recessive class to map genes for photoperiod-sensitive genic male sterility in rice.

Authors:  Q Zhang; B Z Shen; X K Dai; M H Mei; M A Saghai Maroof; Z B Li
Journal:  Proc Natl Acad Sci U S A       Date:  1994-08-30       Impact factor: 11.205

8.  Rapid isolation of high molecular weight plant DNA.

Authors:  M G Murray; W F Thompson
Journal:  Nucleic Acids Res       Date:  1980-10-10       Impact factor: 16.971

9.  The centromere1 (CEN1) region of Arabidopsis thaliana: architecture and functional impact of chromatin.

Authors:  W Haupt; T C Fischer; S Winderl; P Fransz; R A Torres-Ruiz
Journal:  Plant J       Date:  2001-08       Impact factor: 6.417

10.  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

View more
  33 in total

1.  Characterization and precise mapping of a QTL increasing spike number with pleiotropic effects in wheat.

Authors:  Shimin Deng; Xinru Wu; Yuye Wu; Ronghua Zhou; Honggang Wang; Jizeng Jia; Shubing Liu
Journal:  Theor Appl Genet       Date:  2010-09-26       Impact factor: 5.699

2.  Characterization and fine mapping of NGP4c(t), a novel gene controlling the number of grains per panicle in rice.

Authors:  Fantao Zhang; Jie Tang; Yi Zhou; Xiangdong Luo; Jiankun Xie
Journal:  J Genet       Date:  2015-09       Impact factor: 1.166

3.  Unraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus.

Authors:  Jiaqin Shi; Ruiyuan Li; Dan Qiu; Congcong Jiang; Yan Long; Colin Morgan; Ian Bancroft; Jianyi Zhao; Jinling Meng
Journal:  Genetics       Date:  2009-05-04       Impact factor: 4.562

4.  Four rice QTL controlling number of spikelets per panicle expressed the characteristics of single Mendelian gene in near isogenic backgrounds.

Authors:  Yushan Zhang; Lijun Luo; Touming Liu; Caiguo Xu; Yongzhong Xing
Journal:  Theor Appl Genet       Date:  2009-01-20       Impact factor: 5.699

5.  Evaluation of near-isogenic lines for drought resistance QTL and fine mapping of a locus affecting flag leaf width, spikelet number, and root volume in rice.

Authors:  Xipeng Ding; Xiaokai Li; Lizhong Xiong
Journal:  Theor Appl Genet       Date:  2011-06-17       Impact factor: 5.699

6.  Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress.

Authors:  Junfei Gu; Xinyou Yin; Chengwei Zhang; Huaqi Wang; Paul C Struik
Journal:  Ann Bot       Date:  2014-07-01       Impact factor: 4.357

7.  Characterization of the quantitative trait locus OilA1 for oil content in Brassica napus.

Authors:  Yubo Chen; Lu Qi; Xiaoyu Zhang; Jixiang Huang; Jibian Wang; Hongcheng Chen; Xiyuan Ni; Fei Xu; Yanjun Dong; Haiming Xu; Jianyi Zhao
Journal:  Theor Appl Genet       Date:  2013-07-09       Impact factor: 5.699

8.  Mapping and validation of quantitative trait loci for spikelets per panicle and 1,000-grain weight in rice (Oryza sativa L.).

Authors:  Touming Liu; Di Shao; Mallikarjuna Rao Kovi; Yongzhong Xing
Journal:  Theor Appl Genet       Date:  2009-12-01       Impact factor: 5.699

9.  Discovery of genomic regions and candidate genes for grain weight employing next generation sequencing based QTL-seq approach in rice (Oryza sativa L.).

Authors:  Reddyyamini Bommisetty; Navajeet Chakravartty; Reddaiah Bodanapu; Jeevula B Naik; Sanjib K Panda; Sivarama P Lekkala; Krishna Lalam; George Thomas; S J Mallikarjuna; G R Eswar; Gopalakrishna M Kadambari; Swarajyalakshmi N Bollineni; Keerthi Issa; Srividhya Akkareddy; C Srilakshmi; K Hariprasadreddy; P Rameshbabu; P Sudhakar; Saurabh Gupta; V B R Lachagari; Lakshminarayana R Vemireddy
Journal:  Mol Biol Rep       Date:  2020-10-24       Impact factor: 2.316

10.  Fine mapping SPP1, a QTL controlling the number of spikelets per panicle, to a BAC clone in rice (Oryza sativa).

Authors:  Touming Liu; Donghai Mao; Shengpeng Zhang; Caiguo Xu; Yongzhong Xing
Journal:  Theor Appl Genet       Date:  2009-03-06       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.