基于水青树叶表型性状的核心种质资源库构建策略
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摘要
[目的]为了更好地构建水青树核心种质资源库,本文以161个水青树种质为试材,利用叶表型性状的遗传变异数据,对其构建方法进行了探索。[方法]首先,采用欧氏距离和瓦尔德法对所有个体进行逐步聚类;然后,设定10个取样比例(10%、15%、20%、25%、30%、35%、40%、45%、50%、55%),分别用随机取样策略、偏离度取样策略和位点优先取样策略筛选出与之对应的核心种质资源库。将这3种不同取样策略构建的核心种质资源库进行比较,从而筛选出最适种质资源。[结果](1)三种取样策略中,位点优先取样法明显提高了其种质资源库的方差差异百分率(VD)、变异系数变化率(VR)和极差符合率(CR),且45%是最适合构建水青树核心种质资源库的比例;(2)对种质资源核心库不同数量性状进行t检验,其累计贡献率达到82%以上。[结论]在欧氏距离结合瓦尔德法聚类条件下,位点优先取样策略是构建水青树种质资源核心库的最佳方法。
[Objective] To construct the core collection bank of Tetracentron sinense. [Method] Taking 161 germplasm of T. sinense as samples, the genetic variation data of leaf phenotypic characters of T. sinense were studied. First, the methods of Euclidean distance and Wald were used to cluster all individuals step by step. Second, 10 sampling ratios(10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, and 55%) were set, and then their core collection were screened by random sampling strategy, deviation sampling strategy and allele preferred sampling strategy. The germplasm resource banks constructed under different sampling strategies were compared and then the optimum core collection was screened out. [Result](1) Among the three sampling strategies, the allele preferred sampling strategy significantly increased the percentage of variance difference(VD), the variation rate of coefficient of variation(VR) and the coincidence rate of range difference(CR) in core collection. 45% is the most suitable sampling ratio to construct core collection of T. sinense.(2) The t test for different quantitative characters of core collection showed that the cumulative contribution rate of core collection was higher than 82%. [Conclusion] The allele preferred sampling strategy is the most appropriate to construct the core collection of T. sinense with the methods of Euclidean distance and Wald.
[Objective] To construct the core collection bank of Tetracentron sinense. [Method] Taking 161 germplasm of T. sinense as samples, the genetic variation data of leaf phenotypic characters of T. sinense were studied. First, the methods of Euclidean distance and Wald were used to cluster all individuals step by step. Second, 10 sampling ratios(10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, and 55%) were set, and then their core collection were screened by random sampling strategy, deviation sampling strategy and allele preferred sampling strategy. The germplasm resource banks constructed under different sampling strategies were compared and then the optimum core collection was screened out. [Result](1) Among the three sampling strategies, the allele preferred sampling strategy significantly increased the percentage of variance difference(VD), the variation rate of coefficient of variation(VR) and the coincidence rate of range difference(CR) in core collection. 45% is the most suitable sampling ratio to construct core collection of T. sinense.(2) The t test for different quantitative characters of core collection showed that the cumulative contribution rate of core collection was higher than 82%. [Conclusion] The allele preferred sampling strategy is the most appropriate to construct the core collection of T. sinense with the methods of Euclidean distance and Wald.
引文
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[4] 罗靖德,甘小洪,贾晓娟,等.濒危植物水青树种子的生物学特性[J].云南植物研究,2010,32(3):204-210.
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[8] Frankel O H.Genetic perspectives of germplasm conservation[J]In:Arber W,Llimensee K,Peacock W J,et al.Genetic Manipulation:Impact on Man and Society.Cambridge,UK:Cambridge University Press,1984.
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[11] 胡晋,徐海明,朱军.基因型值多次聚类法构建作物种质资源核心库[J].生物数学学报,2000,15(1):103-109.
[12] 胡晋.植物遗传资源核心库及其建立[J].种子,1996(5):22-24.
[13] 刘娟,廖康,曹倩,等.利用表型性状构建新疆野杏种质资源核心种质[J/OL].果树学报,2015,32(5):787-796.
[14] 赵宁,杨孟莉,李继东,等.基于ISSR标记的山茱萸种质资源库构建[J].农业生物技术学报,2017,25(4):579-587.
[15] 胡建斌,马双武,王吉明,等.基于表型性状的甜瓜核心种质构建[J].果树学报,2013,30(3):404-411.
[16] 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.
[17] 张捷,张萍,李勤霞.新疆野核桃核心种质的构建[J].果树学报,2018,35(2):168-176.
[18] 李正宏,邱英雄,徐海明,等.濒危植物种质资源库取样比率的蒙特卡罗模拟研究[J].浙江大学学报:农业与生命科学版,2006,32(4):455-459.
[19] Heather M,Brain C M,Kim J.Determining the shade tolerance of American chestnut using morphological and physiological leaf para-meters[J].Forest Ecology and Management,2009,257:280-286.
[20] 王英姿.灵石山不同海拔米槠林优势种叶片δ13C值与叶属性因子的相关性[J].生态学报,2013,33(10):3129-3137.
[21] 刘小芬,刘剑秋,杨成梓.福建省不同居群轮叶蒲桃叶形态与表皮特征比较[J].亚热带植物科学,2009,38(2):33-40.
[22] 陆畅,王芳,张小平.不同地区青檀叶片的解剖及表皮特征的比较研究[J].植物科学学报,2012,30(4):337-351.
[23] 倪书邦,毛常丽,吴裕,等.云南保存橡胶树部分种质资源叶表型变异分析[J].东北林业大学学报,2012,40(3):32-35.
[24] 招礼军,朱栗琼,黄寿先,等.不同种源鹅掌楸苗木叶解剖性状的遗传多样性[J].广西植物,2014,34(3):308-314.
[25] 韦艳梅,王凌晖,曹福亮,等.何首乌不同种源的叶性状变异及聚类分析[J].安徽农业科学,2010,38(32):18136-18139.
[26] 戚继忠.川榛分类等级的研究[J].南京林业大学学报,1996,20(2):72-75.
[27] 田青,曹致中,张睿.基于数码相机和Auto CAD软件测定园林植物叶面积的简便方法[J].草原与草坪,2008(3):25-28.
[28] Han H,Li S,Gan X,et al.Phenotypic diversity in natural populations of an endangered plant Tetracentron sinense[J].Botanical Sciences,2017,95(2):283.
[29] 徐海明,邱英雄,胡晋,等.不同遗传距离聚类和抽样方法构建作物种质资源库的比较[J].作物学报,2004,30(9):932-936.
[30] 李小胜,陈珍珍.如何正确应用SPSS软件做主成分分析[J].统计研究,2010,27(8):105-108.
[31] 李自超,张洪亮,曹永生,等.中国地方稻种资源初级种质资源库取样策略研究[J].作物学报,2003,29(1):20-24.
[32] 詹世雄,曾宪威.植物核心种质构建方法的研究进展[J].中国农学通报,2010,26(3):279-282.
[33] 刘子记,牛玉,朱婕,等.苦瓜核心种质资源构建方法的比较[J].华南农业大学学报,2017,38(1):31-37.
[34] Brown A H D.Collection:A practical approach to genetic resources management[J].Genome,1989,31:818-824.
[35] Hu J,Zhu J,Xu H M.Methods of constructing core collection by stepwise cluster with three sampling strategies based on genotypic values of crops[J].Theoretical and Applied Genetics,2000,101:264-268.
[36] 谢春平,方彦,方炎明.乌冈栎天然居群叶表型变异[J].四川农业大学学报,2011,29(2):191-198.
[37] Yonezawa K,Nomura T,Morishima H.Sampling strategies for use in straitified germplasm collections [A].Core collections of plant genetic resources[C].UK:John Wiley & Son,1995:35-54.
[38] 曾杰,郑海水,甘四明,等.广西西南桦天然居群的表型变异[J].林业科学,2005,41(2):59-65.
[39] 刘莹,宁祖林,王静,等.板栗和锥栗天然同域居群的叶表型变异研究[J].武汉植物学研究,2009,27(5):480-488.
[40] 李珊,甘小洪,憨宏艳,等.濒危植物水青树叶的表型性状变异[J].林业科学研究,2016,29(5):687-697.
[2] Wang Y F,Lai G F,Efferth T,et al.New glycosides from Tetracentron sinense and their cytotoxic activity[J].Chemical Biodiversity,2006,3(9):1023-1030.
[3] 吴征镒.中国植物志(第一卷)[M].北京:科学出版社,2004:125-126.
[4] 罗靖德,甘小洪,贾晓娟,等.濒危植物水青树种子的生物学特性[J].云南植物研究,2010,32(3):204-210.
[5] Fu D Z,Bartholomew B.Tetracentron in Wu Z Y and Raven P H.Flora of China [M].Beijing:Science Press,1992,590-591.
[6] 吴小巧,黄宝龙,丁雨龙.中国珍稀濒危植物保护研究现状与进展[J].南京林业大学学报:自然科学版,2004,28(2):72-76.
[7] 沈金雄,郭庆元,张秀荣,等.中国芝麻种质资源的聚类分析[J].华中农业大学学报,1995,14(6):532-536.
[8] Frankel O H.Genetic perspectives of germplasm conservation[J]In:Arber W,Llimensee K,Peacock W J,et al.Genetic Manipulation:Impact on Man and Society.Cambridge,UK:Cambridge University Press,1984.
[9] Frankel O H,Brown A H D.Current plant genetic resources—a critical appraisal[C].In:Genetics:New Frontiers (vol.IV).New Delhi,India:Oxford and IBH Publishing,1984.
[10] Brown A H D.The case for core collections[M].In:Brown A H D,Frankel O H,Marshall R D,et al.The Use of Plant Genetic Resources.Cambridge,England:Cambridge Univ Press,1989:136-156.
[11] 胡晋,徐海明,朱军.基因型值多次聚类法构建作物种质资源核心库[J].生物数学学报,2000,15(1):103-109.
[12] 胡晋.植物遗传资源核心库及其建立[J].种子,1996(5):22-24.
[13] 刘娟,廖康,曹倩,等.利用表型性状构建新疆野杏种质资源核心种质[J/OL].果树学报,2015,32(5):787-796.
[14] 赵宁,杨孟莉,李继东,等.基于ISSR标记的山茱萸种质资源库构建[J].农业生物技术学报,2017,25(4):579-587.
[15] 胡建斌,马双武,王吉明,等.基于表型性状的甜瓜核心种质构建[J].果树学报,2013,30(3):404-411.
[16] 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.
[17] 张捷,张萍,李勤霞.新疆野核桃核心种质的构建[J].果树学报,2018,35(2):168-176.
[18] 李正宏,邱英雄,徐海明,等.濒危植物种质资源库取样比率的蒙特卡罗模拟研究[J].浙江大学学报:农业与生命科学版,2006,32(4):455-459.
[19] Heather M,Brain C M,Kim J.Determining the shade tolerance of American chestnut using morphological and physiological leaf para-meters[J].Forest Ecology and Management,2009,257:280-286.
[20] 王英姿.灵石山不同海拔米槠林优势种叶片δ13C值与叶属性因子的相关性[J].生态学报,2013,33(10):3129-3137.
[21] 刘小芬,刘剑秋,杨成梓.福建省不同居群轮叶蒲桃叶形态与表皮特征比较[J].亚热带植物科学,2009,38(2):33-40.
[22] 陆畅,王芳,张小平.不同地区青檀叶片的解剖及表皮特征的比较研究[J].植物科学学报,2012,30(4):337-351.
[23] 倪书邦,毛常丽,吴裕,等.云南保存橡胶树部分种质资源叶表型变异分析[J].东北林业大学学报,2012,40(3):32-35.
[24] 招礼军,朱栗琼,黄寿先,等.不同种源鹅掌楸苗木叶解剖性状的遗传多样性[J].广西植物,2014,34(3):308-314.
[25] 韦艳梅,王凌晖,曹福亮,等.何首乌不同种源的叶性状变异及聚类分析[J].安徽农业科学,2010,38(32):18136-18139.
[26] 戚继忠.川榛分类等级的研究[J].南京林业大学学报,1996,20(2):72-75.
[27] 田青,曹致中,张睿.基于数码相机和Auto CAD软件测定园林植物叶面积的简便方法[J].草原与草坪,2008(3):25-28.
[28] Han H,Li S,Gan X,et al.Phenotypic diversity in natural populations of an endangered plant Tetracentron sinense[J].Botanical Sciences,2017,95(2):283.
[29] 徐海明,邱英雄,胡晋,等.不同遗传距离聚类和抽样方法构建作物种质资源库的比较[J].作物学报,2004,30(9):932-936.
[30] 李小胜,陈珍珍.如何正确应用SPSS软件做主成分分析[J].统计研究,2010,27(8):105-108.
[31] 李自超,张洪亮,曹永生,等.中国地方稻种资源初级种质资源库取样策略研究[J].作物学报,2003,29(1):20-24.
[32] 詹世雄,曾宪威.植物核心种质构建方法的研究进展[J].中国农学通报,2010,26(3):279-282.
[33] 刘子记,牛玉,朱婕,等.苦瓜核心种质资源构建方法的比较[J].华南农业大学学报,2017,38(1):31-37.
[34] Brown A H D.Collection:A practical approach to genetic resources management[J].Genome,1989,31:818-824.
[35] Hu J,Zhu J,Xu H M.Methods of constructing core collection by stepwise cluster with three sampling strategies based on genotypic values of crops[J].Theoretical and Applied Genetics,2000,101:264-268.
[36] 谢春平,方彦,方炎明.乌冈栎天然居群叶表型变异[J].四川农业大学学报,2011,29(2):191-198.
[37] Yonezawa K,Nomura T,Morishima H.Sampling strategies for use in straitified germplasm collections [A].Core collections of plant genetic resources[C].UK:John Wiley & Son,1995:35-54.
[38] 曾杰,郑海水,甘四明,等.广西西南桦天然居群的表型变异[J].林业科学,2005,41(2):59-65.
[39] 刘莹,宁祖林,王静,等.板栗和锥栗天然同域居群的叶表型变异研究[J].武汉植物学研究,2009,27(5):480-488.
[40] 李珊,甘小洪,憨宏艳,等.濒危植物水青树叶的表型性状变异[J].林业科学研究,2016,29(5):687-697.
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