Literature DB >> 24166263

Mapping quantitative trait loci for seedling vigor in rice using RFLPs.

E D Redoña1, D J Mackill.   

Abstract

Improving seedling vigor is an important objective of modern rice (Oryza saliva L.) breeding programs. The purpose of this study was to identify and map quantitative trait loci (QTL) underlying seedling vigor-related traits using restriction fragment length polymorphisms (RFLPs). An F2 population of 204 plants was developed from a cross between a low-vigor japonica cultivar 'Labelle' (LBL) and a high-vigor indica cultivar 'Black Gora' (BG). A linkage map was constructed of 117 markers spanning 1496 Haldane cM and encompassing the 12 rice chromosomes with an average marker spacing of 14 cM. The length of the shoots, roots, coleoptile and mesocotyl were measured on F3 families in slantboard tests conducted at two temperatures (18° and 25°C). By means of interval analysis, 13 QTLs, each accounting for 7% to 38% of the phenotypic variance, were identified and mapped in the two temperature regimes at a log-likelihood (LOD) threshold of 2.5. Four QTLs controlled shoot length, 2 each controlled root and coleoptile lengths and 5 influenced mesocotyl length. Single-point analysis confirmed the presence of these QTLs and detected additional loci for shoot, root and coleoptile lengths, these latter usually accounting for less than 5% of the phenotypic variation. Only 3 QTLs detected both by interval and singlepoint analyses were expressed under both temperature regimes. Additive, dominant and overdominant modes of gene action were observed. Contrary to what was predicted from parental phenotype, the low-vigor LBL contributed 46% of the positive alleles for shoot, root and coleoptile lengths. Positive alleles from the high-vigor parent BG were identified for increased root, coleoptile and mesocotyl lengths. However, BG contributed alleles with only minor effects for shoot length, the most important determinant of seedling vigor in water-seeded rice, suggesting that it would not be an ideal donor parent for introducing faster shoot growth alleles into temperate japonica cultivars.

Entities:  

Year:  1996        PMID: 24166263     DOI: 10.1007/BF00223685

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


  20 in total

1.  Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers.

Authors:  C W Stuber; S E Lincoln; D W Wolff; T Helentjaris; E S Lander
Journal:  Genetics       Date:  1992-11       Impact factor: 4.562

2.  Locating genes associated with root morphology and drought avoidance in rice via linkage to molecular markers.

Authors:  M C Champoux; G Wang; S Sarkarung; D J Mackill; J C O'Toole; N Huang; S R McCouch
Journal:  Theor Appl Genet       Date:  1995-06       Impact factor: 5.699

3.  Genotype x environment interaction in QTL analysis of an intervarietal almond cross by means of genetic markers.

Authors:  M J Asíns; P Mestre; J E García; F Dicenta; E A Carbonell
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

4.  Optimum spacing of genetic markers for determining linkage between marker loci and quantitative trait loci.

Authors:  A Darvasi; M Soller
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

5.  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

6.  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

7.  A 300 kilobase interval genetic map of rice including 883 expressed sequences.

Authors:  N Kurata; Y Nagamura; K Yamamoto; Y Harushima; N Sue; J Wu; B A Antonio; A Shomura; T Shimizu; S Y Lin
Journal:  Nat Genet       Date:  1994-12       Impact factor: 38.330

8.  RFLP mapping of genes conferring complete and partial resistance to blast in a durably resistant rice cultivar.

Authors:  G L Wang; D J Mackill; J M Bonman; S R McCouch; M C Champoux; R J Nelson
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

9.  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

10.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

View more
  28 in total

1.  Genetic and physical mapping of Pi5(t), a locus associated with broad-spectrum resistance to rice blast.

Authors:  J-S Jeon; D Chen; G-H Yi; G L Wang; P C Ronald
Journal:  Mol Genet Genomics       Date:  2003-03-19       Impact factor: 3.291

2.  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

Review 3.  Genetic and molecular dissection of quantitative traits in rice.

Authors:  M Yano; T Sasaki
Journal:  Plant Mol Biol       Date:  1997-09       Impact factor: 4.076

Review 4.  Early seedling vigour, an imperative trait for direct-seeded rice: an overview on physio-morphological parameters and molecular markers.

Authors:  A Mahender; A Anandan; S K Pradhan
Journal:  Planta       Date:  2015-03-25       Impact factor: 4.116

Review 5.  Mesocotyl elongation, an essential trait for dry-seeded rice (Oryza sativa L.): a review of physiological and genetic basis.

Authors:  Junhui Zhan; Xiang Lu; Hongyan Liu; Quanzhi Zhao; Guoyou Ye
Journal:  Planta       Date:  2019-12-04       Impact factor: 4.116

6.  Mapping QTLs for plant phenology and production traits using indica rice (Oryza sativa L.) lines adapted to rainfed environment.

Authors:  K K Suji; K R Biji; R Poornima; K Silvas Jebakumar Prince; K Amudha; S Kavitha; Sumeet Mankar; R Chandra Babu
Journal:  Mol Biotechnol       Date:  2012-10       Impact factor: 2.695

7.  OsGA20ox1, a candidate gene for a major QTL controlling seedling vigor in rice.

Authors:  Akira Abe; Hiroki Takagi; Takahiro Fujibe; Koichiro Aya; Mikiko Kojima; Hitoshi Sakakibara; Aiko Uemura; Makoto Matsuoka; Ryohei Terauchi
Journal:  Theor Appl Genet       Date:  2012-04-06       Impact factor: 5.699

8.  Comparison of QTL controlling seedling vigour under different temperature conditions using recombinant inbred lines in rice (Oryza sativa).

Authors:  Zhi-Hong Zhang; Xin-Shun Qu; Shan Wan; Li-Hua Chen; Ying-Guo Zhu
Journal:  Ann Bot       Date:  2004-12-01       Impact factor: 4.357

9.  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

10.  Genetic diversity and association mapping of seed vigor in rice (Oryza sativa L.).

Authors:  Xiaojing Dang; Thu Giang Tran Thi; Guanshan Dong; Hui Wang; Wisdom Mawuli Edzesi; Delin Hong
Journal:  Planta       Date:  2014-03-26       Impact factor: 4.116

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.