Literature DB >> 16432737

Mapping quantitative trait loci for yield components and morphological traits in an advanced backcross population between Oryza grandiglumis and the O. sativa japonica cultivar Hwaseongbyeo.

D-B Yoon1, K-H Kang, H-J Kim, H-G Ju, S-J Kwon, J-P Suh, O-Y Jeong, S-N Ahn.   

Abstract

Introgression has been achieved from wild species Oryza grandiglumis (2n = 48, CCDD, Acc. No. 101154) into O. sativa subsp. japonica cv. Hwaseongbyeo as a recurrent parent. An advanced introgression (backcross) line, HG101, produced from a single plant from BC5F3 families resembled Hwaseongbyeo, but it showed differences from Hwaseongbyeo in several traits, including days to heading and culm length. To detect the introgressions, 450 microsatellite markers of known chromosomal position were used for the parental survey. Of the 450 markers, 51 (11.3%) detected O. grandiglumis segments in HG101. To characterize the effects of alien genes introgressed into HG101, an F(2:3) population (150 families) from the cross Hwaseongbyeo/HG101 was developed and evaluated for 13 agronomic traits. Several lines outperformed Hwaseongbyeo in several traits, including days to heading. Genotypes were determined for 150 F2 plants using simple sequence repeat markers. Qualitative trait locus (QTL) analysis was carried out to determine the relationship between marker genotype and the traits evaluated. A total of 39 QTL and 1 gene conferring resistance to blast isolate were identified using single-point analysis. Phenotypic variation associated with each QTL ranged from 4.2 to 30.5%. For 18 (46.2%) of the QTL identified in this study, the O. grandiglumis-derived alleles contributed a desirable agronomic effect despite the overall undesirable characteristics of the wild phenotype. Favorable wild alleles were detected for days to heading, spikelets per panicle, and grain shape traits. Grain shape QTL for grain weight, thickness, and width identified in the F(2:3) lines were further confirmed based on the F4 progeny test. The confirmed locus, tgw2 for grain weight is of particular interest because of its independence from undesirable height and maturity. Several QTL controlling amylose content and grain traits have not been detected in the previous QTL studies between Oryza cultivars, indicating potentially novel alleles from O. grandiglumis. The QTL detected in this study could be a rich source of natural genetic variation underlying the evolution and breeding of rice.

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Year:  2006        PMID: 16432737     DOI: 10.1007/s00122-006-0207-4

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


  35 in total

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Journal:  Plant Cell       Date:  2000-12       Impact factor: 11.277

2.  Green revolution: a mutant gibberellin-synthesis gene in rice.

Authors:  A Sasaki; M Ashikari; M Ueguchi-Tanaka; H Itoh; A Nishimura; D Swapan; K Ishiyama; T Saito; M Kobayashi; G S Khush; H Kitano; M Matsuoka
Journal:  Nature       Date:  2002-04-18       Impact factor: 49.962

3.  RFLP analysis of rice (Oryza sativa L.) introgression lines.

Authors:  K K Jena; G Kochert; G S Khush
Journal:  Theor Appl Genet       Date:  1992-08       Impact factor: 5.699

Review 4.  QTL mapping in rice.

Authors:  S R McCouch; R W Doerge
Journal:  Trends Genet       Date:  1995-12       Impact factor: 11.639

5.  Identification and mapping of the QTL for aluminum tolerance introgressed from the new source, Oryza Rufipogon Griff., into indica rice (Oryza sativa L.).

Authors:  Bay D Nguyen; Darshan S Brar; Buu C Bui; Tao V Nguyen; Luong N Pham; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2002-10-25       Impact factor: 5.699

6.  Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon.

Authors:  E M Septiningsih; J Prasetiyono; E Lubis; T H Tai; T Tjubaryat; S Moeljopawiro; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-09-26       Impact factor: 5.699

7.  Saturated molecular map of the rice genome based on an interspecific backcross population.

Authors:  M A Causse; T M Fulton; Y G Cho; S N Ahn; J Chunwongse; K Wu; J Xiao; Z Yu; P C Ronald; S E Harrington
Journal:  Genetics       Date:  1994-12       Impact factor: 4.562

8.  Molecular marker dissection of rice (Oryza sativa L.) plant architecture under temperate and tropical climates.

Authors:  S Kobayashi; Y Fukuta; T Sato; M Osaki; G S Khush
Journal:  Theor Appl Genet       Date:  2003-08-13       Impact factor: 5.699

9.  Identification of QTLs affecting traits of agronomic importance in a recombinant inbred population derived from a subspecific rice cross.

Authors:  J Xiao; J Li; L Yuan; S D Tanksley
Journal:  Theor Appl Genet       Date:  1996-02       Impact factor: 5.699

10.  Identification of trait-improving quantitative trait loci alleles from a wild rice relative, Oryza rufipogon.

Authors:  J Xiao; J Li; S Grandillo; S N Ahn; L Yuan; S D Tanksley; S R McCouch
Journal:  Genetics       Date:  1998-10       Impact factor: 4.562

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  26 in total

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Authors:  Joost J B Keurentjes; Leónie Bentsink; Carlos Alonso-Blanco; Corrie J Hanhart; Hetty Blankestijn-De Vries; Sigi Effgen; Dick Vreugdenhil; Maarten Koornneef
Journal:  Genetics       Date:  2006-12-18       Impact factor: 4.562

2.  Evaluation of seven function-known candidate genes for their effects on improving drought resistance of transgenic rice under field conditions.

Authors:  Ben-Ze Xiao; Xi Chen; Cheng-Bin Xiang; Ning Tang; Qi-Fa Zhang; Li-Zhong Xiong
Journal:  Mol Plant       Date:  2008-11-02       Impact factor: 13.164

3.  A gene controlling the number of primary rachis branches also controls the vascular bundle formation and hence is responsible to increase the harvest index and grain yield in rice.

Authors:  Tomio Terao; Kenji Nagata; Kazuko Morino; Tatsuro Hirose
Journal:  Theor Appl Genet       Date:  2009-11-22       Impact factor: 5.699

4.  Fine mapping a major QTL for flag leaf size and yield-related traits in rice.

Authors:  Peng Wang; Guilin Zhou; Huihui Yu; Sibin Yu
Journal:  Theor Appl Genet       Date:  2011-08-10       Impact factor: 5.699

5.  Comparison of quantitative trait loci for rice yield, panicle length and spikelet density across three connected populations.

Authors:  Touming Liu; Lianzhi Li; Yushan Zhang; Caiguo Xu; Xianghua Li; Yongzhong Xing
Journal:  J Genet       Date:  2011-08       Impact factor: 1.166

6.  Novel cis-acting regulatory elements in wild Oryza species impart improved rice bran quality by lowering the expression of phospholipase D alpha1 enzyme (OsPLDα1).

Authors:  Amandeep Kaur; Kumari Neelam; Ai Kitazumi; Karminderbir Kaur; Priti Sharma; Gurjit Singh Mangat; Benildo G de Los Reyes; Darshan Singh Brar; Kuldeep Singh
Journal:  Mol Biol Rep       Date:  2019-10-22       Impact factor: 2.316

7.  Genetic dissection of rice grain shape using a recombinant inbred line population derived from two contrasting parents and fine mapping a pleiotropic quantitative trait locus qGL7.

Authors:  Xufeng Bai; Lijun Luo; Wenhao Yan; Mallikarjuna Rao Kovi; Wei Zhan; Yongzhong Xing
Journal:  BMC Genet       Date:  2010-02-26       Impact factor: 2.797

8.  The first SSR-based genetic linkage map for cultivated groundnut (Arachis hypogaea L.).

Authors:  R K Varshney; D J Bertioli; M C Moretzsohn; V Vadez; L Krishnamurthy; R Aruna; S N Nigam; B J Moss; K Seetha; K Ravi; G He; S J Knapp; D A Hoisington
Journal:  Theor Appl Genet       Date:  2008-12-02       Impact factor: 5.699

9.  Identification and linkage mapping of complementary recessive genes causing hybrid breakdown in an intraspecific rice cross.

Authors:  K Matsubara; T Ando; T Mizubayashi; S Ito; M Yano
Journal:  Theor Appl Genet       Date:  2007-05-08       Impact factor: 5.699

10.  Quantitative trait loci (QTL) analysis for rice grain width and fine mapping of an identified QTL allele gw-5 in a recombination hotspot region on chromosome 5.

Authors:  Xiangyuan Wan; Jianfeng Weng; Huqu Zhai; Jiankang Wang; Cailin Lei; Xiaolu Liu; Tao Guo; Ling Jiang; Ning Su; Jianmin Wan
Journal:  Genetics       Date:  2008-08-09       Impact factor: 4.562

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