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.
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References
Asins MJ, Mestre P, García JE, Dicenta F, Carbonell EA (1994) Genotype X environment interaction in QTL analysis of an intervarietal almond cross by means of genetic markers. Theor Appl Genet 89:358–364
Breto MP, Asins MJ, Carbonell EA (1994) Salt tolerance in Lycopersicon species. 3. Detection of quantitative trait loci by means of molecular markers. Theor Appl Genet 88:395–401
Causse MA, Fulton TM, Cho YG, Ahn SN, Chunwongse J, Wu KS, Xiao JH, Yu ZH, Ronald PC, Harrington SE, Second G, McCouch SR, Tanksley SD (1994) Saturated molecular map of the rice genome based on an interspecific backcross population. Genetics 138:1251–1274
Champoux M, Wang G, Sarkarung S, Huang N, Mackill DJ, O'Toole JC, McCouch SR (1995) Locating genes associated with root morphology on the molecular linkage map of rice. Theor Appl Genet 90:969–981
Chang TT, Bardenas EA (1965) The morphology and varietal characteristics of the rice plant. Tech Bull 4, International Rice Research Institute, Los Baños, Philippines
Chapman AL, Peterson ML (1962) The seedling establishment of rice under water in relation to temperature and dissolved oxygen. Crop Sci 2:391–395
Darvasi A, Soller M (1994) Optimum spacing of genetic markers for determining linkage between marker loci and quantitative trait loci. Theor Appl Genet 89:351–357
Darvasi A, Weinreb A, Minke V, Weller JI, Soller M (1993) Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map. Genetics 134:943–951
de Vicente MC, Tanksley SD (1993) QTL analysis of transgressive segregation in an interspecific tomato cross. Genetics 134:585–596
Dilday RH, Mgonja MA, Amonsilpa SA, Collins FC, Wells BR (1990) Plant height vs. mesocotyl and coleoptile elongation in rice: linkage or pleiotropism? Crop Sci 30:815–818
Dingkuhn M, De Datta SK, Pamplona R, Javellana C, Schnier HF (1992) Effect of late-season N-fertilization on photosynthesis and yield of transplanted and direct-seeded tropical flooded rice. 2. A canopy stratification study. Field Crop Res 28:235–249
Haldane JBS (1919) The combination of linkage values, and the calculation of distance between the loci of linked factors. J Genet 8:299–309
Hayes PM, Liu BH, Knapp SJ, Chen F, Jones B, Blake T, Franckowiak J, Rasmusson D, Sorrells M, Ullrich SE, Wesenberg D, Kleinhofs A (1993) Quantitative trait locus effects and environmental interaction in a sample of North American barley germ plasm. Theor Appl Genet 87:392–401
Herdt RW (1991) Research priorities for rice biotechnology. In: Khush GS, Toenniessen GH (eds) Rice biotechnology. CAB Int., Oxon, UK pp 19–54
Heydecker W (1960) Can we measure seedling vigor? Proc Int Seed Test Assoc 25:498–512
Jones DB, Peterson ML (1976) Rice seedling vigor at sub-optimal temperatures. Crop Sci 16:102–105
Kosambi DD (1944) The estimation of map distances from recombination values. Ann Eugenet 12:172–175
Kurata N, Nagamura Y, Yamamoto K, Harushima Y, Sue N, Wu J, Antonio BA, Shomura A, Shimizu T, Lin SY, Inoue T, Fukuda A, Shimano T, Kuboki Y, Toyama T, Miyamoto Y, Kirihara T, Hayasaka K, Miyao A, Monna L, Zhong HS, Tamura Y, Wang ZX, Momma T, Umehara Y, Yano M, Sasaki T, Minobe Y (1994) A 300 kilobase interval genetic map of rice including 883 expressed sequences. Nat Genet 8:365–372
Lander ES, Botstein D (1989) Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199
Lander ES, Green P, Abrahamson J, Barlow A, Daly M, Lincoln SE, Newburg L (1987) MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations. Genomics 1:174–181
Li CC, Rutger JN (1980) Inheritance of cool temperature seedling vigor in rice and its relationship with other agronomic characters. Crop Sci 20:295–298
Mackill DJ (1995) Classifying japonica rice cultivars with RAPD markers. Crop Sci 35:889–894
McCouch SR, Tanksley SD (1991) Development and use of restriction fragment length polymorphism in rice breeding and genetics. In: Khush GS, Toenniessen GH (ed.) Rice biotechnology. CAB Int, Oxon, UK, pp 109–133
McCouch SR, Kochert G, Yu ZH, Wang ZY, Khush GS, Coffman WR, Tanksley SD (1988) Molecular mapping of rice chromosomes. Theor Appl Genet 76:815–829
McKenzie KS, Rutger JN, Peterson ML (1980) Relation of seedling vigor to semidwarfism, early maturity, and pubescence in closely related rice lines. Crop Sci 20:169–172
McKenzie KS, Johnson CW, Tseng ST, Oster JJ, Brandon DM (1994) Breeding improved rice cultivars for temperate regions — a case study. Aust J Exp Agric 34:897–905
Mgonja MA, Ladeinde TAO, Akenova ME (1993) Genetic analysis of mesocotyl length and its relationship with other agronomic characters in rice (Oryza saliva L). Euphytica 72:189–195
Nodari RO, Tsai SM, Guzman P, Gilbertson RL, Gepts P (1993) Toward an integrated linkage map of common bean. III. Mapping genetic factors controlling host-bacteria interactions. Genetics 134:341–350
Paterson AH, Lander ES, Hewitt JD, Peterson S, Lincoln SE, Tanksley SD (1988) Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms. Nature 335:721–726
Paterson AH, Damon S, Hewitt JD, Zamir D, Rabinowitch HD, Lincoln SE, Lander ES, Tanksley SD (1991) Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments. Genetics 127:181–97
Peterson ML, Jones DB, Rutger JN (1978) Cool temperature screening of rice lines for seedling vigor. Il Riso 27:269–274
Raney F (1963) Rice water temperature. Calif Agric 17:6–7
Ranjhan S, Litts JC, Foolad MR, Rodriguez RL (1991) Chromosomal localization and genomic organization of α-amylase genes in rice (Oryza sativa L.). Theor Appl Genet 82:481–488
Redoña ED, Mackill DJ (1996) Genetic variation for seedling vigor traits in rice. Crop Sci (in press)
Saito A, Yano M, Kishimoto N, Nakagahra M, Yoshimura A, Saito K, Kuhara S, Ukai Y, Kawase M, Nagamine T, Yoshimura S, Ideta O, Ohsawa R, Hayano Y, Iwata N, Sugiura M (1991) Linkage map of restriction fragment length polymorphism loci in rice. Jpn J Breed 41:665–670
SAS Institute Inc (1989) SAS/STAT user's guide, Version 6, 4th edn., vol 1. SAS Institute Inc, Cary, N.C
Schön CC, Lee M, Melchinger AE, Guthrie WD, Woodman WL (1993) Mapping and characterization of quantitative trait loci affecting resistance against second-generation European corn borer in maize with the aid of RFLPs. Heredity 70:648–659
Stuber CW, Edwards MD, Wendel JF (1987) Molecular markerfacilitated investigations of quantitative trait loci in maize. II. Factors influencing yield and its component traits. Crop Sci 27:639–648
Stuber CW, Lincoln SE, Wolff DW, Helentjaris T, Lander ES (1992) Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers. Genetics 132:823–839
Thomas BR, Rodriguez RL (1994) Metabolite signals regulate gene expression and source/sink relations in cereal seedlings. Plant Physiol 106:1235–1239
Turner FT, Chen CC, Bollich CN (1982) Coleoptile and mesocotyl length in semi-dwarf rice seedlings. Crop Sci 22:43–46
Wang GL, Mackill DJ, Bonman JM, McCouch SR, Champoux MC, Nelson RJ (1994) RFLP mapping of genes conferring complete and partial resistance to blast in a durably resistant rice cultivar. Genetics 136:1421–1434
Williams JF, Peterson ML (1973) Relations between alpha-amylase activity and growth of rice seedlings. Crop Sci 13:612–615
Xiao JH, Li JM, Yuan LP, Tanksley SD (1995) Dominance is the major genetic basis of heterosis in rice as revealed by QTL analysis using molecular markers. Genetics 140:745–754
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Communicated by G. E. Hart
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Redoña, E.D., Mackill, D.J. Mapping quantitative trait loci for seedling vigor in rice using RFLPs. Theoret. Appl. Genetics 92, 395–402 (1996). https://doi.org/10.1007/BF00223685
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DOI: https://doi.org/10.1007/BF00223685