Morphometric analysis and sequence related amplified polymorphism determine genetic diversity in Salvia species

Author:

SHAKOOR Abdul,ZHAO Fang,ZAIB Gul,LI Wuyang,LAN Xincan,ESFANDANI-BOZCHALOYI Somayeh

Abstract

Salvia species is a member of the Lamiaceae family, and it also possesses medicinal and horticulture values. The genetic diversity was assessed through sequence-related amplified polymorphism. To uncover genetic diversity and species characteristics in Salvia species were studied through a combination of morphological and molecular data. One hundred forty-five individuals related to 30 Salvia were collected in 18 provinces. A total of 157 (Number of total loci) (NTL) DNA bands were produced through polymerase chain reaction (PCR) from 30 Salvia species. These bands were produced with the combinations of 10 selective primers. The total number of amplified fragments ranged from 10 to 20. The predicted unbiased heterozygosity (H) varied between 0.11 (Salvia urmiensis) and 0.31 (Salvia limbata). High Shannon’s information index was detected in Salvia limbata. The genetic similarities between 30 species are estimated from 0.46 to 0.91. Clustering results showed two major clusters. According to the SRAP (Sequence-related amplified polymorphism) markers analysis, Salvia hydrangea and Salvia sharifii had the lowest similarity. Salvia bracteata and Salvia suffruticosa were genetically dissimilar to each other. This study also detected a significant signature of isolation by distance. Present results showed that sequence-related amplified polymorphism has the potential to decipher genetic affinity between Salvia species. Current results have implications in biodiversity and conservation programs. Besides this, present results could pave the way for selecting suitable ecotypes for forage and pasture purposes in Iran.

Publisher

University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca

Subject

Horticulture,Plant Science,Agronomy and Crop Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3