首页> 外文期刊>Indian Journal of Sericulture >ASSESSMENT OF GENETIC DIVERSITY AND INTER-RELATIONSHIPS AMONG A FEW WILD MULBERRY (MORUS LAEVIGATA ANDM. SERRATA) COLLECTIONS OF INDIA THROUGH DNA MARKER ANALYSIS
【24h】

ASSESSMENT OF GENETIC DIVERSITY AND INTER-RELATIONSHIPS AMONG A FEW WILD MULBERRY (MORUS LAEVIGATA ANDM. SERRATA) COLLECTIONS OF INDIA THROUGH DNA MARKER ANALYSIS

机译:通过DNA标记分析法评估印度几个野生桑树(桑树和桑树)的遗传多样性和相互关系

获取原文
获取原文并翻译 | 示例
       

摘要

An attempt was carried out to reliably assess the genetic diversity existing in the wild mulberry populations for appropriate conservation measures. Nine collections each of the two wild mulberry species (Morus laevigata and M. serrata) from differentgeographical locations were assembled. RAPD analysis using ten informative arbitrary sequence decamcr primers generated 143 discrete markers ranging from 300-3400 bp. Among them, 135 were polymorphic (94.4 %) with an average of 14.3 markers per primer.The ISSR screening carried out with four anchored primers generated a total of 60 markers of which 51 were polymorphic (85.0 %). The combined genetic analysis of RAPD and ISSR markers based on Dice similarity coefficient shows the wide genetic variability between the two wild species collections ranging from 0.951 to 0.422. The population of M. laevigata namely, Jowai and Badodhi were the closest with maximum similarity of 0.951 and Jowai (M. laevigata) and Bowali Farm (M. serrata) were the most distantwith the least similarity of 0.422. UPGMA clustering analysis based on combined DNA marker analysis separated these 18 collections into two distinct groups in accordance with their taxonomic status.
机译:试图可靠地评估野生桑树种群中存在的遗传多样性,以采取适当的保护措施。组装了来自不同地理位置的两种野生桑树种(桑(Morus laevigata)和锯齿山(M. serrata))的九种植物。 RAPD分析使用十种信息丰富的任意序列成反序列引物产生了143个介于300-3400 bp之间的离散标记。其中135个为多态性(94.4%),平均每个引物14.3个标记。用4个锚定引物进行的ISSR筛选共产生60个标记,其中51个为多态性的(85.0%)。基于Dice相似系数的RAPD和ISSR标记的组合遗传分析表明,两个野生物种集合之间的遗传变异性很大,范围从0.951到0.422。 M. laevigata的种群最接近,即Jowai和Badodhi,最大相似度为0.951,而Jowai(M. laevigata)和Bowali Farm(Serrata)的种群最远,相似度最小,为0.422。基于组合DNA标记分析的UPGMA聚类分析根据其分类状况将这18个集合分为两个不同的组。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号