摘要
以260份花生材料为试材,采用不同的遗传距离构建吉林省花生初级核心种质。在50%的取样比例下,采用数量性状参数均值差异百分率、方差差异百分率、极差符合率、变异系数变化率4个指标评价不同方法构建的初级核心种质的可行性和有效性。最终选出一种合适的方法构建花生初级核心种质,并利用等位变异数、有效等位变异数、Shannon-Weaver指数、Nei期望杂合度等SSR标记相关参数进行验证。研究结果表明:基于欧式距离,采用优先取样法结合最短距离法进行聚类分析,构建包含128个样品的花生核心种质。采用SSR标记参数进行验证,表明128份初级核心种质可以代表原种质80%的遗传信息,较好地代表了原种质的遗传多样性。
Using 260 peanut test materials,the primary peanut core germplasm in Jilin province was constructed by different genetic distances. In 50% sampling ratio,feasibility and validity of constructing primary core germplasm with different methods were evaluated by using quantitative trait parameters including mean difference percentage,variance difference percentage,range coincidence rate and variation ratio of variation coefficient. Finally,the appropriate method was used to construct the primary peanut core germplasm. The related parameters of SSR markers were used to verify the above results,which included allelic variance,effective number of allelic variation,Shannon-Weaver index,Nei expected heterozygosity,etc. The results showed that Euclidean distance,the preferred sampling method and the shortest distance method were applied in cluster analysis,and the peanut core germplasm of 128 accessions was constructed. Via the validation of the related parameters of SSR markers,128 accessions represented 80% genetics information of the primary germplasm and could very well represent the genetic diversity of the original germplasm.
引文
[1]周雪松,赵谋明.我国花生食品产业现状与发展趋势[J].食品与发酵工业,2004,30(6):84-89.
[2]FAO.Statistical Database.Food and Agriculture Organization(FAO)of the United Nations,Rome[EB/OL](2008)[2016-08-04].http:∥www.fao.org.
[3]凤桐,高华援,赵叶明,等.吉林省花生生产现状与发展优势[J].吉林农业科学,2010,35(1):23-25,27.
[4]丁小霞,李培武,白艺珍,等.中国花生黄曲霉毒素风险评估中膳食暴露非参数概率评估方法[J].中国油料作物学报,2011,33(4):402-408.
[5]陈冉,李培武,马飞,等.花生黄曲霉毒素污染臭氧脱毒技术研究[J].中国油料作物学报,2013,35(1):92-96.
[6]白雪,王柏涛.吉林省农科院花生课题研究技术见成效[N].中国食品报(第A5版),2013-05-24.
[7]Wang J,Sun J Z,Liu D C,et al.Analysis of Pina and Pinb alleles in the micro-core collections of Chinese wheat germplasm by Eco-tilling and identification of a novel Pinb allele[J].Journal of Cereal Science,2008,48:836-842.
[8]吴旭江,程凯,臧淑江,等.普通小麦株高的遗传分析[J].吉林农业大学学报,2016,38(3):274-280.
[9]Wang J C,Hu J,Zhang C F,et al.Assessment on evaluating parameters of rice core collections constructed by genotypic values and molecular marker information[J].Rice Science,2007,14(2):101-110.
[10]Liu F,Sun G L,Salomon B,et al.Characterization of genetic diversity in core collection accessions of wild barley,Hordeum vulgare ssp.Spontaneum[J].Hereditas,2002,136:67-73.
[11]Reddy L J,Upadhyaya H D,Gowda C L L,et al.Development of core collection in pigeonpea[Cajanuscajan(L.)Millspaugh]using geographic and qualitative morphological descriptors[J].Genetic Resources and Crop Evolution,2005,52:1049-1056.
[12]Dwivedi S L,Upadhyaya H D,Hegde D M.Development of core collection using geographic information and morphological descriptors in safflower(Carthamus tinctorius L.)germplasm[J].Genetic Resources and Crop Evolution,2005,52:821-830.
[13]Li Y,Shi Y S,Cao Y S,et al.Establishment of a core collection for maize germplasm preserved in Chinese National GenBank using geographic distribution and characterization data[J].Genetic Resources and Crop Evolution,2004,51:845-852.
[14]才源,李凯,姜涛,等.玉米秃尖性状的遗传模型分析及SSR标记[J].吉林农业大学学报,2015,37(1):6-13.
[15]孟强,戴冬青,杨利,等.糯玉米种质SSR标记遗传及品质性状分析[J].吉林农业大学学报,2014,36(3):258-264.
[16]田晓艳,刘强,曲静,等.9个不同耐密性自交系的SSR标记分析[J].吉林农业大学学报,2013,35(5):511-515.
[17]姜涛,李凯,才源,等.玉米自交系SSR标记技术的优化[J].吉林农业大学学报,2014,36(6):653-659.
[18]宗绪晓,关建平,王述民,等.国外栽培豌豆遗传多样性分析及核心种质构建[J].作物学报,2008,34(9):1518-1528.
[19]Ma Y S,Wang W H,Wang L X,et al.Genetic diversity of soybean and the establishment of a core collection focused on resistance to soybean cyst nematode[J].Journal of Integrative Plant Biology,2006,48(6):722-731.
[20]Wang L X,Guan Y,Guan R X,et al.Establishment of Chinese soybean(Glycine max)core collections with agronomic traits and SSR markers[J].Euphytica,2006,151:215-223.
[21]刘遵春,张春雨,张艳敏,等.利用数量性状构建新疆野苹果核心种质的方法[J].中国农业科学,2010,43(2):358-370.
[22]Bars-Hen A,Charcosset A,Bourgoin M,et al.Relationship between genetic markers and morphological traits in maize inbred lines collection[J].Euphytica,1995,84:145-154.
[23]Noirot M,Hamon S,Anthony F.The Principal component scoring:A new method of constituting a core collection using quantitative data[J].Genetic Resources and Crop Evolution,1996,43:1-6.
[24]Islam F M A,Beebe S,Muffoz M,et al.Using molecular markers to assess the effect of introgression on quantitative attributes of common bean in the Andean gene pool[J].Theoretical and Applied Genetic,2004,108:243-252.
[25]Liu Fang,Sun Guo,Salomon B,et al.Characterization of genetic diversity in core collection accessions of wild barley,Hordeum vulgare ssp.spontaneum[J].Hereditas,2002,136:67-73.
[26]Xu Haiming,Hu Jin,Zhu Jun,et al.Sampling a core collection of Island cotton(Gossypium barbadense L.)based on the genotypic values of fiber traits[J].Genetic Resources and Crop Evolution,2006,53:515-521.
[27]Wang Jiancheng,Hu Jin,Xu Haiming.Strategy on constructing core collections by least distance stepwise sampling[J].Theoretical and Applied Genetics,2007,115(1):1-8.
[28]张春雨,陈学森,张艳敏,等.采用分子标记构建新疆野苹果核心种质的方法[J].中国农业科学,2009,42(2):597-604.