Skip to main content
Log in

Mapping of quantitative trait loci controlling low-temperature germinability in rice (Oryza sativa L.)

  • Original Paper
  • Published:
Theoretical and Applied Genetics Aims and scope Submit manuscript

Abstract

Low-temperature germination is one of the major determinants for stable stand establishment in the direct seeding method in temperate regions, and at high altitudes of tropical regions. Quantitative trait loci (QTLs) controlling low-temperature germinability in rice were identified using 122 backcross inbred lines (BILs) derived from a cross between temperate japonica varieties, Italica Livorno and Hayamasari. The germination rate at 15°C was measured to represent low-temperature germination and used for QTL analysis. The germination rate at 15°C for 7 days of Italica Livorno and Hayamasari was 98.7 and 26.8%, respectively, and that of BILs ranged from 0 to 83.3%. Using restriction fragment length polymorphism (RFLP) and simple sequence repeat (SSR) markers, we constructed a linkage map which corresponded to about 90% of the rice genome. Three putative QTLs associated with low-temperature germination were detected. The most effective QTL, qLTG-3-1 on chromosome 3, accounted for 35.0% of the total phenotypic variation for low-temperature germinability. Two additional QTLs, qLTG-3-2 on chromosome 3 and qLTG-4 on chromosome 4, were detected and accounted for 17.4 and 5.5% of the total phenotypic variation, respectively. The Italica Livorno alleles in all detected QTLs increased the low-temperature germination rate.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Akagi H, Yokozeki Y, Inagaki A, Fujimura T (1997) Highly polymorphic microsatellites of rice consist of AT repeats, and a classification of closely related cultivars with these microsatellite loci. Theor Appl Genet 94:61–67

    CAS  Google Scholar 

  • Basten CJ Weir BS, Zeng Z-B (1998) QTL CARTOGRAPHER: a reference manual and tutorial for QTL mapping. Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA

    Google Scholar 

  • Churchill GA, Doerge RW (1994) Empirical threshold values for quantitative trait mapping. Genetics 138:963–971

    CAS  PubMed  Google Scholar 

  • Dingkuhn M, De Datta SK, Pamplona R, Javellana C, Schnier HF (1992) Effect of late-season N-fertilization on photosynthesis and the yield of transplanted and direct-seeded tropical flooded rice. 2. A canopy stratification study. Field Crop Res 28:235–249

    Article  Google Scholar 

  • Harushima Y, Yano M, Shomura A, Sato M, Shimano T, Kuboki Y, Yamamoto T, Lin SY, Antonio BA, Parco A, Kajiya H, Huang N, Yamamoto K, Nagamura Y, Kurata N, Khush GS, Sasaki T (1998) A high-density rice genetic linkage map with 2,275 markers using a single F2 population. Genetics 148:479–494

    CAS  PubMed  Google Scholar 

  • Kojima S, Takahashi Y, Kobayashi Y,Monna L, Sasaki T,Araki T, Yano M (2002) Hd3a, a rice ortholog of the Arabidopsis FT gene, promotes transition to the flowering downstream of Hd1 under a short-day condition. Plant Cell Physiol 43:1096–1105

    Google Scholar 

  • Kono I, Takeuchi Y, Shimano T, Sasaki T, Yano M (2000) Comparison of efficiency of detecting polymorphism among japonica varieties in rice using RFLP, RAPD, AFLP and SSR markers. Breed Res 2:197–203

    Google Scholar 

  • Kosambi DD (1944) The estimation of map distances from recombination value. Ann Eugen 12:172–175

    Google Scholar 

  • Kotaka S, Abe N (1988) The varietal difference of germinability at low-temperature in rice varieties and the testing method for the percentage establishment of seedlings. J Agri Sci Tokyo 43:165–168

    Google Scholar 

  • 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 ZW, Momma T, Umehara Y, Yano M, Sasaki T, Minobe Y (1994) A 300 kilobase-interval genetic map of rice including 883 expressed sequences. Nature Genet 8:365–372

    CAS  PubMed  Google Scholar 

  • Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, 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

    CAS  PubMed  Google Scholar 

  • Lin HX, Yamamoto T, Sasaki T, Yano M (2000) Characterization and detection of epistatic interactions of three QTLs, Hd1, Hd2 and Hd3, controlling heading date in rice using nearly isogenic lines. Theor Appl Genet 101:1021–1028

    CAS  Google Scholar 

  • Lin HX, Ashikari M, Yamanouchi U, Sasaki T. Yano M (2002) Identification and characterization of a quantitative trait locus, Hd9, controlling heading date in rice. Breed Sci 52:35–41

    Article  CAS  Google Scholar 

  • LinHX, LiangZW, SasakiT, Yano M (2003) Fine mapping and characterization of quantitative trait loci Hd4 and Hd5 controlling heading date in rice. Breed Sci 53:51–59

    Article  Google Scholar 

  • Mackill DJ (1995) Classifying japonica rice cultivars with RAPD markers. Crop Sci 35:889–894

    Google Scholar 

  • Mackill DJ, Zhang Z, Redona ED, Colowit PM (1996) Level of polymorphism and genetic mapping of AFLP markers in rice. Genome 39:969–977

    CAS  PubMed  Google Scholar 

  • McCouch SR, Teytelman L, Xu Y, Lobos KB, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y, Zhang Q, Kono I, Yano M, Fjellstrom R, DeClerck G, Schneider D, Cartinhour S, Ware D, Stein L (2002) Development and mapping of 2,240 new SSR markers for rice (Oryza sativa L.). DNA Res 9:199–207

    CAS  PubMed  Google Scholar 

  • 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

    Google Scholar 

  • Miura K, Lin SY, Yano M, Nagamine T (2001) Mapping quantitative trait loci controlling low-temperature germinability in rice (Oryza sativa L.). Breed Sci 51:293–299

    Article  CAS  Google Scholar 

  • Murray MG, Thompson WF (1980) Rapid isolation of high-molecular-weight plant DNA. Nucleic Acids Res 8:4321–4325

    CAS  PubMed  Google Scholar 

  • Peterson ML, Jones DB, Rutger JN (1978) Cool temperature screening of rice lines for seedling vigor. Il Riso, Vol. 27 Ente Nazionale Risi, Milan, Italy, pp 269–274

  • Sasaki T, Kinoshita T, Takahashi M (1973) Estimation of the number of genes in the germination ability at low temperature in rice. J Fac Agric Hokkaido Univ 57:301–312

    Google Scholar 

  • Takahashi Y, Shomura A, Sasaki T, Yano M (2001) Hd6, a rice quantitative trait locus involved in photoperiod sensitivity, encodes the α subunit of protein kinase CK2. Proc Natl Acad Sci USA 98:7922–7927

    Article  CAS  PubMed  Google Scholar 

  • Takeuchi Y, Hayasaka H, Chiba B, Tanaka I, Shimano T, Yamagishi M, Nagano K, Sasaki T, Yano M (2001) Mapping quantitative trait loci controlling cool-temperature tolerance at the booting stage in temperate japonica rice. Breed Sci 51:191–197

    CAS  Google Scholar 

  • Yano M, Katayose Y, Ashikari M, Yamanouchi U, Monna L, Fuse T, Baba T, Yamamoto K, Umehara Y, Nagamura Y, Sasaki T (2000) Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANCE. Plant Cell 12:2473–2484

    CAS  PubMed  Google Scholar 

  • Zeng Z-B (1993) Theoretical basis for the separation of multiple linked gene effects in mapping quantitative trait loci. Proc Natl Acad Sci USA 90:10972–10976

    CAS  PubMed  Google Scholar 

  • Zeng Z-B, Weir BS (1996) Statistical methods for mapping quantitative trait loci. Acta Agron Sin 22:535–550

    Google Scholar 

  • Zhang QF, Maroof MAS, Lu TY, Shen BZ (1992) Genetic diversity and differentiation of indica and japonica rice detected by RFLP analysis. Theor Appl Genet 83:495–499

    Google Scholar 

Download references

Acknowledgments

This work was supported in part by a grant from the Ministry of Agriculture, Forestry and Fisheries of Japan (Rice Genome Project DM-1102).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Fujino.

Additional information

Communicated by F. Salamini

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fujino, K., Sekiguchi, H., Sato, T. et al. Mapping of quantitative trait loci controlling low-temperature germinability in rice (Oryza sativa L.). Theor Appl Genet 108, 794–799 (2004). https://doi.org/10.1007/s00122-003-1509-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00122-003-1509-4

Keywords

Navigation