Genomewide association study (GWAS) on five panicle traits of 315 rice accessions introduced from international rice microcore germplasm bank was conducted. The panicle length (PL) and the primary rachis branch number (PBN) exhibited significant difference between the two plant locations, while grain length (GL), grain width (GW) and grain length to width ratio (GLWR) were not, indicating that PL and PBN are sensitive to environments. Totally 7, 5, 10, 8 and 6 chromosome regions or SNP (single nucleotide polymorphism) marker loci were significantly associated with PL, PBN, GL, GW and GLWR, respectively. Among them, eleven regions associated with grain shape and one region controlling PBN were consistence in two environments. Significant linear correlation was found between the average trait value and the number of favorable alleles carried by the cultivars in all associational loci. Among all associational loci, the cultivars in Aromatic (ARO) and tropical japonica (TRJ) subpopulations owned most favorable alleles, but those in temperate japonica (TEJ) subpopulation contained the least. The domestic varieties mainly harbored unfavorable alleles in 6 of associational loci detected. Totally 15 varieties from 11 different countries harbored more than 30 favorable alleles, which were fallen in TRJ subpopulation, demonstrating that the cultivars in TRJ subpopulation have high potential in rice breeding for high and stable yield. Based on these results, we discussed the approach to improve domestic rice panicle traits by using TRJ varieties.
ZUO Shimin1,2, KANG Houxiang2, LI Qianqian1, CHEN Zongxiang1, ZHANG Yafang1, LIU Wende2, WANG Guoliang2, CHEN Hongqi3, *, PAN Xuebiao1,*
. Genomewide Association Analysis on Genes Controlling Panicle Traits of Varieties from International Rice Core Collection Bank and Its Breeding Utilization[J]. Chinese Journal OF Rice Science, 2014
, 28(6)
: 649
-658
.
DOI: 10.3969/j.issn.1001-7216.2014.06.011
\[1\]朱立宏. 关于我国水稻高产育种的我见. 南京农业大学学报, 2007, 30(1): 129135.
\[2\]张宏根, 朱国永, 封智蔷, 等. 近30年江苏迟熟中粳品种产量与品质分析. 中国水稻科学, 2014, 28(3): 327334.
\[3\]周少川, 王家生, 李宏, 等. 我国水稻育种的回顾与思考. 中国稻米, 2001(2): 56.
\[4\]王才林. 江苏水稻育种与生产现状及发展趋势. 江苏农业科学, 2005, 33(2): 16.
\[5\]魏兴华, 袁筱萍, 余汉勇, 等. 我国常规稻主栽品种的遗传变异分析. 中国水稻科学, 2009, 23(3): 237244.
\[6\]玄英实, 姜文洙, 刘宪虎, 等. 中国东北地区水稻主要栽培品种的遗传多样性分析. 植物遗传资源学报, 2010, 11(2): 206212.
\[7\]周有炎, 沙安勤, 樊宝贵, 等. 杂交粳稻甬优8号超高产形成规律与配套栽培技术. 江苏农业科学, 2012, 40(2): 4547.
\[8\]潘学彪, 梁国华, 陈宗祥, 等. 江苏抗水稻条纹叶枯病育种策略. 江苏农业科学, 2005(5): 2223.
\[9\]郑文静, 刘欣. 水稻条纹叶枯病的研究现状及展望. 中国植保导刊, 2009(5): 1215.
\[10\] 魏兴华, 汤圣祥, 余汉勇, 等. 中国水稻国外引种概况及效益分析. 中国水稻科学, 2010, 24(1): 511.
\[11\] Huang R Y, Jiang L R, Zheng J S, et al. Genetic bases of rice grain shape: So many genes, so little known. Trends Plant Sci, 2013, 18(4): 218226.
\[12\] Ikeda M, Miura K,Aya K, et al. Genes offering the potential for designing yieldrelated traits in rice. Curr Opin Plant Biol, 2013, 16: 213220.
\[13\]Sreedhar S, Reddy T D, Ramesha M S. Genotype×environment interaction and stability for yield and its components in hybrid rice cultivars (Oryza sativa L.). Int J Plant Breeding Genet, 2011, 5: 194208.
\[14\] Liu G F, Yang J, Zhu J. Mapping QTL for biomass yield and its components in rice (Oryza sativa L.). Acta Genet Sin, 2006, 33(7):607616.
\[15\] Zhang Q, Yao G X, Hu G L, et al. Fine mapping of qTGW31, a QTL for 1000grain weight on chromosome 3 in rice. J Integr Agric, 2012, 11(6): 879887.
\[16\]Shomura A, Izawa T, Ebana K, et al. Deletion in a gene associated with grain size increased yields during rice domestication. Nat Genet, 2008, 40: 10231028.
\[17\] Mao H, Sun S, Yao J, et al. Linking differential domain functions of the GS3 protein to natural variation of grain size in rice. Proc Natl Acad Sci, 2010, 107: 1957919584.
\[18\]Singh R, Singh A K, Sharma T R, et al. Fine mapping of grain length QTLs on chromosomes 1 and 7 in Basmati rice (Oryza sativa L.). J Plant Biochem Biotechnol, 2012, 21: 157166.
\[19\]Xie X, Song M H, Jin F, et al. Fine mapping of a grain weight quantitative trait locus on rice chromosome 8 using nearisogenic lines derived from a cross between Oryza sativa and Oryza rufipogon. Theor Appl Genet. 2006, 113: 885894.
\[20\] Asano K,Miyao A, Hirochika H, et al. SSD1, which encodes a plantspecific novel protein, controls plant elongation by regulating cell division in rice. Proc Jpn Acad: Ser B Phys Biol Sci, 2010, 86(3): 265273.
\[21\] Shao G N, Wei X J, Chen M L, et al. Allelic variation for a candidate gene for GS7, responsible for grain shape in rice. Theor Appl Genet, 2012, 125: 13031312.
\[22\] Han B, Huang X H. Sequencingbased genomewide association study in rice. Curr Opin Plant Biol, 2013, 16: 16.
\[23\] Huang X H, Wei X H, Sang T, et al. Genomewide association studies of 14 agronomic traits in rice landraces. Nat Genet, 2010, 42: 961967.
\[24\] Zhao K Y, Tung C W, Eizenga G C, et al. Genomewide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. Nat Commun, 2011, DOI: 10.1038/ncomms1467.
\[25\]Dang X J, Thi T G T, Dong G S, et al. Genetic diversity and association mapping of seed vigor in rice (Oryza sativa L.). Planta, 2014, 239:13091319.
\[26\] de OliveiraBorba T C, Brondani R P, Breseghello F, et al. Association mapping for yield and grain quality traits in rice (Oryza sativa L.). Genet Mol Biol, 2010, 33:515524.
\[27\]Jin L, Lu Y, Xiao P, et al. Genetic diversity and population structure of a diverse set of rice germplasm for association mapping. Theor Appl Genet, 2010, 121:475487.
\[28\]陈氏秋江, 党小景, 刘强明, 等. 水稻籽粒性状的SSR关联分析. 中国水稻科学, 2014, 28(3): 243247.
\[29\] Bradbury P J, Zhang Z, Kroon D E, et al. TASSEL: Software for association mapping of complex traits in diverse samples. Bioinformatics, 2007, 23: 26332635.