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Quantitative trait loci associated with seed set under high temperature stress at the flowering stage in rice (Oryza sativa L.)

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Abstract

High temperature stress (HTS), an increasingly important problem in rice production, significantly reduces rice yield by reducing seed set percentage (SSP). Breeding rice varieties with tolerance to HTS at the flowering stage is therefore essential for maintaining rice production as the climate continues to warm. In this study, two quantitative trait loci (QTL) underlying tolerance to HTS were identified using the recombinant inbred lines (RILs) derived from a cross between the HTS-tolerant rice cultivar 996 and the sensitive cultivar 4628. SSP was used as the heat-tolerance indicator for the lines, which were subjected to HTS at the flowering stage in both field and growth chamber experiments. Two major QTL that affected SSP in both conditions were detected in the interval between RM5687 and RM471 on chromosome 4, and between RM6132 and RM6100 on chromosome 10. The QTL located on chromosome 4 explained 21.3% in field and 25.8% in growth chamber of the total phenotypic variation in SSP, and increased the SSP of plants subjected to HTS by 9.1% in field and by 9.3% in growth chamber. The second QTL located on chromosome 10 explained 11.5% in field and 11.6% in growth chamber of the total phenotypic variation in SSP, and increased the SSP of plants subjected to HTS by 7.2% in field and 7.0% in growth chamber. The positive additive effects of the two QTL were derived from the 996 alleles. The two major QTL identified in this study could be useful for further fine mapping and cloning of these genes and for molecular marker-aided breeding of heat-tolerant rice cultivars.

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References

  • Cao LY, Zhu J, Zhao ST, He LB, Yan QC (2002) Mapping QTLs for heat tolerance in a DH population from indica-japonoca cross of rice (Oryza sativa). J Agric Biotechnol 10(3):210–214

    Google Scholar 

  • Cao LY, Zhao JG, Zhan XD, Li DL, He LB, Cheng SH (2003) Mapping QTLs for heat tolerance and correlation between heat tolerance and photosynthetic rate in rice. Chin J Rice Sci 17(3):223–227

    CAS  Google Scholar 

  • Chen X, Temnykh S, Xu Y, Cho YG, McCouch SR (1997) Development of a microsatellite framework map providing genome-wide coverage in rice (Oryza sativa L.). Theor Appl Genet 95:553–567

    Article  CAS  Google Scholar 

  • Chen QQ, Yu SB, Li CH, Mou TM (2008) Identification of QTLs for heat tolerance at flowering stage in rice. Sci Agric Sin 41(2):315–321

    CAS  Google Scholar 

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

    PubMed  CAS  Google Scholar 

  • Intergovernmental Panel on Climate Change (2007) Summary for policy makers. In: Climate change 2007: the physical science basis. IPCC, Geneva, p 9.

  • International Rice Genome Sequencing Project (2005) The map-based of the rice genome. Nature 436:793–800

    Article  Google Scholar 

  • International Rice Research Institute (2007) Coping with climate change. Rice Today 6(3):10–15. http://www.riceworld.org/publications/today/pdfs/6-3/10-15.pdf

    Google Scholar 

  • Jagadish SVK, Craufurd PQ, Wheeler TR (2007) High temperature stress and spikelet fertility in rice. J Exp Bot 58:1627–1635

    Article  PubMed  CAS  Google Scholar 

  • Jeremy DE, Jaroslav J, Megan TS, Ambika BG, Liu B, Hei L, David WG (2008) Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice. Plant Methods 4:13

    Article  Google Scholar 

  • Khush G (2005) What it will take to feed 5.0 billion rice consumers in 2030. Plant Mol Biol 59:1–6

    Article  PubMed  CAS  Google Scholar 

  • Lincoln S, Daley M, Lander E (1992) Constructing genetic maps with MAPMAKER/EXP 3.0, 3rd edn. Whitehead Institute Technical Report, Cambridge

    Google Scholar 

  • Luo LH, Liu GH, Xiao YH, Tang WB, Chen LY (2005) Influences of high-temperature stress on the fertility of pollen, spikelet and grain-weight in rice. J Hunan Agric Univ (Nat Sci) 31(6):593–596

    Google Scholar 

  • Matsui T, Kagata H (2003) Characteristics of floral organs related to reliable self pollination in rice (Oryza sativa L.). Ann Bot 91:473–477

    Article  PubMed  Google Scholar 

  • Matsui T, Omasa K (2002) Rice (Oryza sativa L.) cultivars tolerant to high temperature at flowering: anther characteristics. Ann Bot 89:683–687

    Article  PubMed  Google Scholar 

  • Matsui T, Omasa K, Horie T (1997) High temperature-induced spikelet sterility of japonica rice at flowering in relation to air temperature, humidity and wind velocity conditions. Jpn J Crop Sci 66(3):449–455

    Google Scholar 

  • Matsui T, Omasa K, Horie T (1999) Mechanism of anther dehiscence in rice (Oryza sativa L.). Ann Bot 84:501–506

    Article  Google Scholar 

  • Matsui T, Omasa K, Horie T (2000) High temperature at flowering inhibit swelling of pollen grains, a driving force for thecae dehiscence in rice (Oryza sativa L.). Plant Prod Sci 3:430–434

    Article  Google Scholar 

  • Matsui T, Omasa K, Horie T (2001) The difference in sterility due to high temperatures during the flowering period among japonica rice varieties. Plant Prod Sci 4:90–93

    Article  Google Scholar 

  • Matsushima S, Ikewada H, Maeda A, Honda S, Niki H (1982) Studies on rice cultivation in the tropics. 1. Yielding and ripening responses of the rice plant to the extremely hot and dry climate in Sudan. Jpn J Trop Agric 26:19–25

    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 2240 new SSR markers for rice (Oryza sativa L.). DNA Res 9:199–207

    Article  PubMed  CAS  Google Scholar 

  • Mohammeda AR, Tarpley L (2009) High nighttime temperatures affect rice productivity through altered pollen germination and spikelet fertility. Agric For Meteorol 149(6–7):999–1008

    Article  Google Scholar 

  • Peng S, Huang J, Sheehy JE, Laza RC, Visperas RM, Zhong X, Centeno GS, Khush GS, Cassman KG (2004) Rice yields decline with higher night temperature from global warming. Proc Natl Acad Sci USA 101:9971–9975

    Article  PubMed  CAS  Google Scholar 

  • Prasad PVV, Boote KJ, Allen LH Jr, Sheehy JE, Thomas JMG (2006) Species, ecotype and cultivar differences in spikelet fertility and harvest index of rice in response to high temperature stress. Field Crops Res 95:398–411

    Article  Google Scholar 

  • Saghai Maroof MA, Biyashev RM, Yang GP, Zhang Q, Allard RW (1994) Extraordinarily polymorphic microsatellite DNA in barley: species diversity, chromosomal locations, and population dynamics. Proc Natl Acad Sci USA 91(12):5466–5470

    Article  PubMed  CAS  Google Scholar 

  • Satake T, Yoshida S (1978) High temperature induced sterility in indica rices at flowering. Jpn J Crop Sci 47:6–17

    Google Scholar 

  • Temnykh S, Park WD, Ayres N, Cartinhour S, Hauck N, Lipovich L, Cho YG, Ishii T, McCouch SR (2000) Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.). Theor Appl Genet 100:697–712

    Article  CAS  Google Scholar 

  • Wang SC, Basten CJ, Gaffney P, Zeng ZB (2007) Windows QTL Cartographer 2.0 User Manual. Bioinformatics Research Center, North Carolina State University, Raleigh

    Google Scholar 

  • Wu KS, Tanksley SD (1993) Abundance, polymorphism and genetic mapping of microsatellites in rice. Mol Gen Genet 241:225–235

    Article  PubMed  CAS  Google Scholar 

  • Xia MY, Qi HX (2004) Effects of high temperature on the seed setting percent of hybrid rice breed with four male sterile lines. Hubei Agric Sci (2):21–22

  • Yang HC, Huang ZQ, Jiang ZY, Wang XW (2004) High temperature damage and its protective technologies of early and middle season rice in Anhui province. J Anhui Agric Sci 32(1):3–4

    Google Scholar 

  • Zeng ZB (1994) Precision mapping of quantitative trait loci. Genetics 136:1457–1468

    PubMed  CAS  Google Scholar 

  • Zhang T, Yang L, Jang KF, Huang M, Sun Q, Chen WF, Zheng JK (2008) QTL mapping for teat tolerance of the tassel period of rice. Mol Plant Breed 6(5):867–873

    CAS  Google Scholar 

  • Zhao ZG, Jiang L, Xiao YH, Zhang WW, Zhai HQ, Wan JM (2006) Identification of QTLs for heat tolerance at the booting stage in rice (Oryza sativa L.). Acta Agron Sin 32(5):540–644

    Google Scholar 

  • Zhu CL, Xiao YH, Wang CM, Jiang L, Zhai HQ, Wan JM (2005) Mapping QTL for heat-tolerance at grain filling stage in rice. Rice Sci 12(1):33–38

    Google Scholar 

  • Ziska LH, Manalo PA (1996) Increasing night temperature can reduce seed set and potential yield of tropical rice. Aust J Plant Physiol 23:791–794

    Article  Google Scholar 

  • Zou J, Liu AL, Chen XB, Zhou XY, Gao GF, Wang WF, Zhang XW (2009) Expression analysis of nine rice heat shock protein genes under abiotic stresses and ABA treatment. J Plant Physiol 166(8):851–861

    Article  PubMed  CAS  Google Scholar 

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant no. 30971745, 30900874), the Natural Science Foundation of Hunan Province, China (Grant no. 08JJ1003), the Ph.D. Programs Foundation of Ministry of Education of China (Grant no. 20070537006) and the Research Foundation of Education Bureau of Hunan Province, China (Grant no. 06B042).

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Authors and Affiliations

  1. Hunan Agricultural University, Changsha, 410128, China

    Yinghui Xiao, Yi Pan, Lihua Luo, Guilian Zhang, Huabing Deng, Liangying Dai, Xionglun Liu, Wenbang Tang, Liyun Chen & Guo-Liang Wang

  2. Department of Plant Pathology, The Ohio State University, Columbus, OH, 43210, USA

    Guo-Liang Wang

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  1. Yinghui Xiao
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  2. Yi Pan
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  3. Lihua Luo
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  4. Guilian Zhang
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  5. Huabing Deng
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  6. Liangying Dai
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  7. Xionglun Liu
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  8. Wenbang Tang
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  9. Liyun Chen
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  10. Guo-Liang Wang
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Correspondence to Liyun Chen or Guo-Liang Wang.

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Xiao, Y., Pan, Y., Luo, L. et al. Quantitative trait loci associated with seed set under high temperature stress at the flowering stage in rice (Oryza sativa L.). Euphytica 178, 331–338 (2011). https://doi.org/10.1007/s10681-010-0300-2

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  • DOI: https://doi.org/10.1007/s10681-010-0300-2

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