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作 者:于杰[1] 闫化学[1] 鲁振华[2] 周志钦[1,3]
机构地区:[1]南方山地园艺学教育部重点实验室,重庆400715 [2]中国农业科学院郑州果树研究所,郑州450009 [3]西南大学园艺园林学院,重庆400716
出 处:《园艺学报》2011年第9期1733-1740,共8页Acta Horticulturae Sinica
基 金:国家自然科学基金项目(31171930);重庆市自然科学基金项目(CSTC2009BB1119);中央高校基本科研业务费专项(XDJK2011C001);西南大学科技创新基因项目(SZ201102)
摘 要:对柑橘及其近缘属植物59份样品进行叶绿体matK和rbcL的序列测定,序列比对与人工校正,计算属间、种间以及种内的遗传距离,比较序列间的差异,构建系统发育树。结果表明,matK、rbcL及其组合(matK+rbcL)可以对柑橘及其近缘属属间进行鉴定,在种间水平上三者的鉴定率分别为55.9%、37.3%和83.0%。由此可见,与单一片段相比,matK+rbcL序列组合鉴定率更高,可用于对柑橘及其近缘属植物进行物种鉴定。The classification of Citrus is still a scientific problem unresolved because of apomixes,asexual variation,and interspecific hybridization in the genus Citrus.To use matK,rbcL,and them together to identify Citrus and its closely related genera,the chloroplast matK and rbcL sequences of 59 accessions were analyzed,the inter-and intraspecific genetic distances were calculated,and the phylogenetic trees of all the accessions tested were constructed based on the obtained distance data.The results indicated that matK and matK + rbcL could be successfully used to identify Citrus and its related genera.However,at the species level,matK,rbcL and their combination(matK + rbcL)only have correct identification frequency of 55.9%,37.3%,83.0% respectively.Compared with the single fragment,matK + rbcL was shown to be more powerful,implying that it can be used to identify the species of Citrus and its related genera.
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