Efficient Fingerprinting of the Tetraploid Salix psammophila Using SSR Markers

Author:

Hao Lei,Zhai Yongguang,Zhang Guosheng,Lu Dongye,Huang Haiguang

Abstract

Salix psammophila C. Wang et Ch. Y. Yang is an important desert shrub that is mainly distributed in northwest China, including the Mu Us sandland and Kubuqi desert. It plays a crucial role in vegetation rehabilitation and as a forestation plant. The traditional identification of its accessions based on phenotypic traits is usually unreliable. SSR (Simple Sequence Repeat) has the advantages of repeatability and codominant inheritance, and most species have had specific SSR primers developed for them already. Currently, there is no simple and rapid method used for identifying the tetraploid Salix psammophila with SSR markers. In this study, we construct fingerprints among 261 accessions of S. psammophila by screening of marker combinations. We identified a nine-marker combination which could completely distinguish each of the 261 accessions to their unique fingerprinting profiles. For this marker combination (G+I+J+N+O+Q+S+T+U), identification rate of combined markers (MC2) and total Polymorphism Information Content (PIC) were the highest, at 100% and 6.05, respectively. We used fingerprinting profiles with the nine-marker combination to produce two-dimensional barcodes, which could be screened rapidly and conveniently using a barcode scanned by a computer. The results of this study can provide an efficient genetic toolkit for identification, traceability management and protection of intellectual property rights of particular accessions of tetraploid S. psammophila.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Forestry

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