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起始密码子靶向(SCoT)标记评估中国老芒麦种质遗传多样性及亲缘关系的潜力

Potential of Start Codon Targeted (SCoT) markers to estimate genetic diversity and relationships among Chinese Elymus sibiricus accessions.

作者信息

Zhang Junchao, Xie Wengang, Wang Yanrong, Zhao Xuhong

机构信息

The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.

出版信息

Molecules. 2015 Apr 7;20(4):5987-6001. doi: 10.3390/molecules20045987.

Abstract

Elymus sibiricus as an important forage grass and gene pool for improving cereal crops, that is widely distributed in West and North China. Information on its genetic diversity and relationships is limited but necessary for germplasm collection, conservation and future breeding. Start Codon Targeted (SCoT) markers were used for studying the genetic diversity and relationships among 53 E. sibiricus accessions from its primary distribution area in China. A total of 173 bands were generated from 16 SCoT primers, 159 bands of which were polymorphic with the percentage of polymorphic bands (PPB) of 91.91%. Based upon population structure analysis five groups were formed. The cluster analysis separated the accessions into two major clusters and three sub-clusters, similar to results of principal coordinate analysis (PCoA). The molecular variance analysis (AMOVA) showed that genetic variation was greater within geographical regions (50.99%) than between them (49.01%). Furthermore, the study also suggested that collecting and evaluating E. sibiricus germplasm for major geographic regions and special environments broadens the available genetic base and illustrates the range of variation. The results of the present study showed that SCoT markers were efficient in assessing the genetic diversity among E. sibiricus accessions.

摘要

老芒麦是一种重要的饲草,也是改良谷类作物的基因库,在中国西部和北部广泛分布。关于其遗传多样性和亲缘关系的信息有限,但对于种质收集、保存及未来育种而言是必要的。起始密码子靶向(SCoT)标记被用于研究来自中国主要分布区的53份老芒麦材料的遗传多样性和亲缘关系。16条SCoT引物共产生173条带,其中159条带具有多态性,多态性条带百分比(PPB)为91.91%。基于群体结构分析形成了5个组。聚类分析将这些材料分为两个主要类群和三个亚类群,与主坐标分析(PCoA)结果相似。分子方差分析(AMOVA)表明,地理区域内的遗传变异(50.99%)大于地理区域间的遗传变异(49.01%)。此外,该研究还表明,针对主要地理区域和特殊环境收集和评估老芒麦种质可拓宽可用的遗传基础并阐明变异范围。本研究结果表明,SCoT标记在评估老芒麦材料间的遗传多样性方面是有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6715/6272172/d7d598361c07/molecules-20-05987-g001.jpg

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