水稻开花期高温胁迫下的花粉育性QTL定位

doi:10.3969/j.issn.1001-7216.2011.01.01

摘要/Abstract

摘要： 以耐热水稻品系996和热敏感品系4628为亲本构建的重组自交系为材料，采用水稻开花期高温胁迫下的花粉育性为指标，对水稻耐热性进行了QTL分析。采用复合区间作图法检测到2个花粉育性耐热性QTL，暂命名为qPF4和qPF6。qPF4位于第4染色体上的RM5687―RM471区间，LOD值为7.54，对高温胁迫下花粉育性的表型解释率为15.1%，来自耐热亲本996的等位基因使高温下花粉可育率提高7.15%。qPF6位于第6染色体上的RM190―RM225标记区间，LOD值为4.43，对高温胁迫下花粉育性的表型解释率为9.31%，能使高温下花粉可育率提高5.25%，加性效应亦来自耐热亲本996的等位基因。定位到的2个耐热QTL为进一步精细定位以及通过分子标记辅助选择培育耐热水稻新品种奠定了基础。

关键词: 水稻, 数量性状基因座, 花粉育性, 高温胁迫

Abstract: The quantitative trait loci (QTLs) underlying tolerance to high temperature stress(HTS) were identified using the recombinant inbred lines (RILs) derived from a cross between the heat tolerant rice line 996 and the sensitive line 4628. Pollen fertility was used as the heattolerance indicator for the lines, which was determined when the lines was subjected to HTS at the flowering stage in field experiments. Two QTLs that affected pollen fertility were detected in the interval between RM5687 and RM471 on chromosome 4, and between RM190 and RM225 on chromosome 6 by using composite interval mapping (CIM) analysis. The QTL qPF4 on chromosome 4 explained 15.1% of the total variation in pollen fertility, and increased the pollen fertility of HTSsubjected plants by 7.15%. The second QTL qPF6 on chromosome 6 explained 9.31% of the total variation in pollen fertility, and increased the pollen fertility of plants subjected to HTS by 5.25%. The positive additive effects of the two QTLs were derived from the line 996 alleles. The two major QTLs identified should be useful for further fine mapping and cloning of these genes and for molecular markerassisted selection of heattolerant rice cultivars.

Key words: rice, quantitative trait locus, pollen fertility, high temperature stress

盘毅,罗丽华,邓化冰,张桂莲,唐文邦,陈立云,肖应辉 . 水稻开花期高温胁迫下的花粉育性QTL定位[J]. 中国水稻科学 2011,25(1): 99-102 . , DOI: 10.3969/j.issn.1001-7216.2011.01.01 .

PAN Yi,LUO Li-hua,DENG Hua-bing,ZHANG Gui-lian,TANG Wen-bang,CHEN Li-yun,XIAO Ying-hui*. Quantitative Trait Loci Associated with Pollen Fertility Under High Temperature Stress at Flowering Stage in Rice
[J]. Chinese Journal of Rice Science 2011,25(1): 99-102 ., DOI: 10.3969/j.issn.1001-7216.2011.01.01 .

参考文献

[1]夏明元, 戚华雄. 高温热害对四个不育系配制的杂交组合结实率的影响. 湖北农业科学, 2004(2): 210-224.

[2]杨惠成, 黄仲青, 蒋之埙, 等. 2003年安徽早中稻花期热害及防御技术. 安徽农业科学, 2004, 32(1): 3-4.

[3]Zou J, Liu A L, Chen X B, et al. Expression analysis of nine rice heat shock protein genes under abiotic stresses and ABA treatment. J Plant Physiol， 2009, 166(8): 851-861.

[4]Intergovernmental Panel on Climate Change. Summary for policy makers//Climate Change 2007: The Physical Science Basis. Geneva, Switzerland: IPCC, 2007.

[5]Satake T, Yoshida S. High temperature induced sterility in indica rices at flowering. Jpn J Crop Sci， 1978, 47: 6-17.

[6]徐云碧, 石春海, 申宗坦. 热害对早稻结实率的影响. 浙江农业大学学报, 1989(2): 51-54.

[7]曹立勇, 朱军, 赵松涛, 等. 水稻籼粳交DH群体耐热性的QTLs定位. 农业生物技术学报， 2002, 10(3): 210-214.

[8]曹立勇, 赵建根, 占小登, 等. 水稻耐热性的QTL定位及耐热性与光合速率的相关性. 中国水稻科学， 2003, 17(3): 223-227.

[9]朱昌兰, 肖应辉, 王春明, 等. 水稻灌浆期耐热害的数量性状基因位点分析. 中国水稻科学, 2005, 9(2): 117-121.

[10]赵志刚, 江玲, 肖应辉, 等. 水稻孕穗期耐热性QTLs分析. 作物学报, 2006, 32(5): 640-644.

[11]陈庆全, 余四斌, 李春海, 等. 水稻抽穗开花期耐热性 QTL 的定位分析. 中国农业科学, 2008, 42(2): 315-321.

[12]张涛, 杨莉, 蒋开锋, 等. 水稻抽穗扬花期耐热性的QTL 分析. 分子植物育种, 2008, 6(5): 867-873.

[13]Matsui T, Omasa K. Rice (Oryza sativa L.) cultivars tolerant to high temperature at flowering: Anther characteristics. Ann Bot， 2002, 89: 683-687.

[14]Matsushima S, Ikewada H, Maeda A, et al. 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， 1982, 26: 19-25.

[15]Prasad P V V, Boote K J, Allen L H Jr, et al. Species, ecotype and cultivar differences in spikelet fertility and harvest index of rice in response to high temperature stress. Field Crops Res， 2006, 95: 398-411.

[16]陈立云, 唐文邦, 刘国华, 等. 高产两系杂交早稻新组合陆两优996的选育. 杂交水稻, 2006, 21(2): 24-26.

[17]罗丽华, 刘国华, 肖应辉, 等. 高温胁迫对水稻花粉和小穗育性及稻谷粒重的影响. 湖南农业大学学报: 自然科学版, 2005, 31(6): 593-596.

[18]Saghai Maroof M A, Biyashev R M, Yang G P, et al. Extraordinarily polymorphic microsatellite DNA in barley: Species diversity, chromosomal locations, and population dynamics. Proc Natl Acad Sci USA, 1994, 91(12): 5466-5470.

[19]Chen X, Temnykh S, Xu Y, et al. Development of a microsatellite framework map providing genome-wide coverage in rice (Oryza sativa L.). Theor Appl Genet, 1997, 95: 553-567.

[20]Temnykh S, Park W D, Ayres N, et al. Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.). Theor Appl Genet, 2000, 100: 697-712.

[21]McCouch S R, Teytelman L, Xu Y, et al. Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Res, 2002, 9: 199-207.

[22]International Rice Genome Sequencing Project. The map-based of the rice genome. Nature, 2005, 436: 793-800.

[23]Jeremy D E, Jaroslav J, Megan T S, et al. Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice. Plant Meth, 2008, 4: 13.

[24]Lincoln S, Daley M, Lander E. Constructing genetic maps with MAPMAKER/EXP 3.0//Whitehead Institute Technical Report. 3rd ed. Cambridge: Whitehead Institute, 1992.

[25]Zeng Z B. Precision mapping of quantitative trait loci. Genetics, 1994, 136: 1457-1468.

[26]Churchill G A, Doerge R W. Empirical threshold values for quantitative trait mapping. Genetics, 1994, 138: 963-971.