Scientia Agricultura Sinica ›› 2012, Vol. 45 ›› Issue (2): 311-319.doi: 10.3864/j.issn.0578-1752.2012.02.013

• HORTICULTURE • Previous Articles     Next Articles

Genetic Association of Fruit Weight and Six Phenological Traits in Peach (Prunus persica L.)

 CAO  Ke, WANG  Li-Rong, ZHU  Geng-Rui, FANG  Wei-Chao, CHEN  Chang-Wen, ZHAO  Juan   

  1. 1.中国农业科学院郑州果树研究所,郑州450009
  • Received:2011-07-21 Online:2012-01-15 Published:2011-12-01

Abstract: 【Objective】 Association mapping is an effective approach for identifying quantitative trait loci (QTLs) and may be an alternative to QTL mapping based on crosses between different lines. The study aims to improve the speed and efficiency of fruit quality breeding by investigating the genetic correlation of fruit weight and six phenological traits in peach (Prunus persica) using association mapping approach. 【Method】 In the current study, 104 peach landrace accessions from 6 Chinese geographical regions were evaluated for fruit and phenological period traits. The accessions were genotyped with 53 genome-wide simple sequence repeats (SSR) markers. The population structure and linkage disequilibrium (LD) of peach were analyzed by using STRUCTURE 2.3.3 and TASSEL 2.0.1 software. The genetic correlation was studied based on the results of association mapping of fruit weight and six phenological traits. 【Result】 Based on population structure analysis, the 104 peaches were divided into 5 groups. Of the 1378 SSR pairs composed of 53 SSR primers, 27 were in LD (P<0.01). Although correlation analysis showed that the fruit weight was only related to leaf expansion date trait positively, same QTLs were found associated with fruit weight and the date of full bloom, leaf expansion, harvest maturity, and defoliation based association mapping. Simultaneously, the obviously LD was observed among the interchromosomal loci association with fruit weight and the date of full bloom, defoliation and fruit development period. UDP96-013-206, an allele which possesses a significantly positive effect on fruit weight also acted on the phenological trait to advance the bloom date for 1.46 days, delay the fruit development period and defoliation date for 13.77 and 2.17 days, respectively. 【Conclusion】 Twenty-seven QTLs associated with fruit weight and six phenological traits were obtained using association mapping, and many of them were located in same chromosomes which obtained using linkage analysis previously. Although fruit weight was only related to leaf expansion date through correlation analysis, the real genetic correlation was found between fruit weight and the date of full bloom, leaf expansion, harvest maturity, defoliation, and fruit development period. Pleiotropy or close linkage are the two major reasons for genetic correlation in these correlated traits.

Key words: 桃, 单果重, 关联分析, 遗传相关

[1]Valdomirn A B, Byrne D H, Taylor J F. Heritability, genetic and phenotypic correlations, and predicted selection response of quantitative traits in peach: II. An analysis of several fruit traits. Journal of the American Society for Horticultural Science, 1998, 123(4): 604-611.

[2]王力荣. 桃果实无毛和扁平基因的遗传多效性研究. 山东泰安: 山东农业大学, 2007.

Wang L R. Heretable pleiotropic effects of glabrous and saucer shape gene loci from peach. Taian, Shandong: Shandong Agricultural University, 2007. (in Chinese)

[3]张立彬, 肖  啸, 王晓海, 徐玉法. 晚熟桃实生后代果实生长及其相关分析. 中国园艺学会第六届青年学术讨论会, 2004, 6: 296-300.

Zhang L B, Xiao X, Wang X H, Xu Y F. Fruit growth and correlation in seedling of late-maturing Peach. Symposium of the Sixth Youth Conference for Horticultural Science, 2004, 6: 296-300. (in Chinese)

[4]Dirlewanger E, Moing A, Rothan C, Svanella L, Pronier V, Guye A, Plomion C, Monet R. Mapping QTLs controlling fruit quality in peach [Prunus persica (L.) Batsch]. Theoretical and Applied Genetics, 1999, 98: 18-31.

[5]Yamamoto T, Takehiko S, Tsuyoshi I, Hideaki Y, Takashi H, Nagao M, Masami Y, Tateki H. Characterization of morphological traits based on a genetic linkage map in peach. Breeding Science, 2001, 51: 271-278.

[6]Gardner K M, Latta R G. Shared quantitative trait loci underlying the genetic correlation between continuous traits. Molecular Ecology, 2007, 16: 4195-4209.

[7]Chen Y S, Thomas L. Molecular basis of trait correlations. Trends in Plant Science, 2010, 15: 454-461.

[8]Falconer D S, Mackay T F C. An Introduction to Quantitative Genetics. Oliver & Boyd, 1996.

[9]Mather K, Jinks J L. Biometrical Genetics (2nd edn). Chapman and Hall, 1971.

[10]张  军, 赵团结, 盖钧镒. 大豆育成品种农艺性状QTL与SSR标记的关联分析. 作物学报, 2008, 34(12): 2059-2069.

Zhang J, Zhao T J, Gai J Y. Association analysis of agronomic trait QTLs with SSR markers in released soybean cultivars. Acta Agronomica Sinica, 2008, 34(12): 2059-2069. (in Chinese)

[11]王智权, 刘  喜, 江  玲, 刘世家, 陈亮明, 尹长斌, 翟虎渠, 万建民. 控制水稻穗形相关性状的QTL定位. 江苏农业学报, 2011, 27(1): 5-12.

Wang Z Q, Liu X, Jiang L, Liu S J, Chen L M, Yin C B, Zhai H Q, Wan J M. Detection of QTLs for related traits of panicle in rice (Oryza sativa L.). Jiangsu Journal of Agricultural Science, 2011, 27(1): 5-12. (in Chinese)

[12]姚明哲, 乔婷婷, 马春雷, 金基强, 陈  亮. EST-SSR 标记与茶树表型性状关联的初步分析. 茶叶科学, 2010, 30(1): 45-51.

Yao M Z, Qiao T T, Ma C L, Jin J Q, Chen L. The association analysis of phenotypic traits with EST-SSR markers in tea plants. Journal of Tea Science, 2010, 30(1): 45-51. (in Chinese)

[13]文自翔, 赵团结, 郑永战, 刘顺湖, 王春娥, 王  芳, 盖钧镒. 中国栽培和野生大豆农艺品质性状与SSR标记的关联分析I. 群体结构及关联标记. 作物学报, 2008, 34(7): 1169-1178.

Wen Z X, Zhao T J, Zheng Y Z, Liu S H, Wang C E, Wang F, Gai J Y. Association analysis of agronomic and quality traits with SSR markers in Glycine max and Glycine soja in China: I. Population structure and associated markers. Acta Agronomica Sinica, 2008, 34(7): 1169-1178. (in Chinese)

[14]赵  波, 叶  剑, 金文林, 曾潮武, 吴宝美, 濮绍京, 潘金豹, 万  平. 不同类型小豆种质SSR标记遗传多样性及性状关联分析. 中国农业科学, 2011, 44(4): 673-682.

Zhao B, Ye J, Jin W L, Zeng C W, Wu B M, Pu S J, Pan J B, Wan P. Analysis on genetic diversity and trait association of different types of azuki bean (Vigna angularisi) by SSR markers. Scientia Agricultura Sinica, 2011, 44(4): 673-682. (in Chinese)

[15]Aranzana M J, Abbassi E K, Howad W, Arus P. Genetic variation, population structure and linkage disequilibrium in peach commercial varieties. BMC Genetics, 2010, 11: 69.

[16]Barnaud A, Lacombe T, Doligez A. Linkage disequilibrium in cultivated grapevine, Vitis vinifera L. Theoretical and Applied Genetics, 2006, 112: 708-716.

[17]王力荣, 朱更瑞. 桃种质资源描述规范和数据标准. 北京:中国农业出版社, 2005: 54-76.

Wang L R, Zhu G R. Descriptors and Data Standard for Peach (Prunus persica L.). Beijing: China Agriculture Press, 2005: 54-76. (in Chinese)

[18]Dirlewanger E, Graziano E, Joobeur T, Garriga-Caldere F, Cosson P, Howard W, Arus P. Comparative mapping and marker assisted selection in Rosaceae fruit crops. Proceedings of the National Academy of Sciences, 2004, 101: 9891-9896.

[19]曹  珂, 王力荣, 朱更瑞, 方伟超, 陈昌文. 桃遗传图谱的构建及两个花性状的分子标记. 园艺学报, 2009, 36(2): 179-186.

Cao K, Wang L R, Zhu G R, Fang W C, Chen C W. Genetic linkage maps constructing and markers linked with pistil development and double petal gene in peach. Acta Horticulturae Sinica, 2009, 36(2): 179-186. (in Chinese)

[20]Evanno G, Regaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology, 2005,14: 2611-2620.

[21]文自翔, 赵团结, 郑永战, 刘顺湖, 王春娥, 王  芳, 盖钧镒. 中国栽培和野生大豆农艺及品质性状与SSR标记的关联分析II. 优异等位变异的发掘. 作物学报, 2008, 34(8): 1339-1349.

Wen Z X, Zhao T J, Zheng Y Z, Liu S H, Wang C E, Wang F, Gai J Y. Association analysis of agronomic and quality traits with SSR markers in Glycine max and Glycine soja in China: II. Exploration of elite alleles. Acta Agronomica Sinica, 2008, 34(8): 1339-1349. (in Chinese)

[22]Aranzana M J, Garcia-Mas J, Carbo J, Arus P. Development and variability anslysis of microsatellite markers in peach. Plant Breeding, 2002, 121: 87-92.

[23]Rafalski A, Morgante M. Corn and humans: recombination and linkage disequilibrium in two genomes of similar size. Trends Genetics, 2004, 20(2): 103-111.

[24]钱  能. 陆地棉遗传多样性与育种目标性状基因(QTL)的关联分析. 南京: 南京农业大学, 2009.

Qian N. Genetic diversity and association analysis of gene (QTL) of breeding target traits of upland cotton. Nanjing: Nanjing Agricultural University, 2009. (in Chinese)

[25]Przeworski M. The signature of positive selection at randomly chosen loci. BMC Genetics, 2002, 160: 1179-1189.

[26]Tommasini L, Schnurbusch T, Fossati D, Mascher F, Keller B. Association mapping of Stagonospora nodorum blotch resistance in modern European winter wheat varieties. Theoretical and Applied Genetics, 2007, 115(5): 697-708.

[27]王荣焕, 王天宇, 黎  裕. 关联分析在作物种质资源分子评价中的应用. 植物遗传资源学报, 2007, 8(3): 366-372.

Wang R H, Wang T Y, Li Y. Application of association analysis in molecular evaluation of crop germplasm resources. Journal of Plant Genetic Resources, 2007, 8(3): 366-372. (in Chinese)
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