钝裂银莲花居群遗传多样性及其与生态因子相关性
发布时间：2018-10-19 13:52
【摘要】：采用RAPD技术分析了4个地区(合作、碌曲、玛曲、阿孜)不同花色(黄、浅、白)11个钝裂银莲花居群的遗传结构。结果表明:钝裂银莲花居群遗传多样性较高,Shannon多样性指数(I)为0.6025,Nei’s基因多样性指数(H)为0.4166,Nei’s基因分化系数(Gst)和AMOVA分析表明钝裂银莲花居群间分化程度较低,大部分变异存在于居群内(67%),居群间占一小部分(33%)。对不同居群进行UPGMA聚类分析,结果显示11个亚居群可以归为3大支。相关性分析表明遗传多样性与地理分布和土壤营养状况有相关性。
[Abstract]:RAPD technique was used to analyze the genetic structure of 11 blunt-lobed lotus populations in 4 regions (cooperation, Luqu, Maqu, Azi) with different colors (yellow, light and white). The results showed that the genetic diversity of anemone nucifera population was higher, the Shannon diversity index (I) was 0.6025 Neis gene diversity index (H) was 0.4166Neis gene differentiation coefficient (Gst) and AMOVA analysis showed that the differentiation degree between populations was lower. Most of the variations were found in populations (67%) and a small part (33%) among populations. The results of UPGMA cluster analysis showed that 11 subpopulations could be divided into 3 branches. Correlation analysis showed that genetic diversity was correlated with geographical distribution and soil nutritional status.
【作者单位】： 兰州理工大学生命科学与工程学院;
【基金】：国家自然科学基金(30960066)
【分类号】：S812.6
，
本文编号：2281320
[Abstract]:RAPD technique was used to analyze the genetic structure of 11 blunt-lobed lotus populations in 4 regions (cooperation, Luqu, Maqu, Azi) with different colors (yellow, light and white). The results showed that the genetic diversity of anemone nucifera population was higher, the Shannon diversity index (I) was 0.6025 Neis gene diversity index (H) was 0.4166Neis gene differentiation coefficient (Gst) and AMOVA analysis showed that the differentiation degree between populations was lower. Most of the variations were found in populations (67%) and a small part (33%) among populations. The results of UPGMA cluster analysis showed that 11 subpopulations could be divided into 3 branches. Correlation analysis showed that genetic diversity was correlated with geographical distribution and soil nutritional status.
【作者单位】： 兰州理工大学生命科学与工程学院;
【基金】：国家自然科学基金(30960066)
【分类号】：S812.6
，
本文编号：2281320
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