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Genetic diversity assessment using simple sequence repeats (SSR) and sequence-related amplified polymorphism (SRAP) markers in ramie

机译:使用简单sequence麻重复序列(SSR)和sequence麻相关序列扩增多态性(SRAP)标记进行遗传多样性评估

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Simple sequence repeats (SSRs) and sequence-related amplified polymorphism (SRAP) were employed to assess the genetic diversity and relationship among 108 ramie cultivars, which were collected from China, Japan, Indonesia and Myanmar. A total of 183 polymorphic bands were produced by using 21 SSR and 20 SRAP primer pairs. The genetic similarity matrix was obtained by using the similarity for qualitative data (SIMQUAL) subroutine of the Numerical Taxonomy and Multivariate Analysis System (NTSYS-pc) software statistical package, based on Jaccard's algorithms. The results showed that the similarity coefficient among the 108 ramie germplasms ranged from 0.22 to 0.89. By using principal components analysis (PCA) and unweighted pair-group method with arithmetic means (UPGMA), the 108 ramie germplasms were clustered into two categories. Shanon diversity index (SDI) was 1.1 and Nei's gene diversity index (NGDI) was 0.58 in the present study. When comparing their indexes, the genetic diversity in the different provinces was as follows: Guizhou (SDI 1.14, NGDI 0.61) > Jiangxi (SDI 1.11, NGDI 0.60) > Guangxi (SDI 1.05, NGDI 0.59) > Hunan (SDI 1.04, NGDI 0.58) > Hubei (SDI 1.02, NGDI 0.58) > Chongqing (SDI 0.96, NGDI 0.54). There was an abundant genetic diversity in ramie accessions growing in the China's Changsha field GenBank of ramie. Guizhou province had the highest genetic diversity and thus may be the origin centre of ramie's genetic diversity. The relationship between germplasms and geographic distribution was poor.
机译:应用简单序列重复(SSRs)和序列相关的扩增多态性(SRAP)评估了108个麻品种的遗传多样性和相关性,这些品种分别来自中国,日本,印度尼西亚和缅甸。通过使用21对SSR和20对SRAP引物对,共产生了183个多态性条带。遗传相似性矩阵是基于Jaccard的算法,使用数字分类学和多元分析系统(NTSYS-pc)软件统计软件包的定性数据相似性(SIMQUAL)子例程获得的。结果表明:108个麻种质之间的相似系数在0.22至0.89之间。通过主成分分析(PCA)和不加权成对配对算法(UPGMA),将108个麻种质分为两类。本研究中Shanon多样性指数(SDI)为1.1,Nei的基因多样性指数(NGDI)为0.58。比较它们的指标时,不同省份的遗传多样性如下:贵州(SDI 1.14,NGDI 0.61)>江西(SDI 1.11,NGDI 0.60)>广西(SDI 1.05,NGDI 0.59)>湖南(SDI 1.04,NGDI 0.58) )>湖北(SDI 1.02,NGDI 0.58)>重庆(SDI 0.96,NGDI 0.54)。中国长沙田Gen麻基因库中生长的麻种质具有丰富的遗传多样性。贵州省的遗传多样性最高,因此可能是麻遗传多样性的起源中心。种质与地理分布之间的关系差。

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