PotatoMASH—A Low Cost, Genome-Scanning Marker System for Use in Potato Genomics and Genetics Applications

Author:

Leyva-Pérez Maria de la O.ORCID,Vexler LeaORCID,Byrne StephenORCID,Clot Corentin R.ORCID,Meade FergusORCID,Griffin DenisORCID,Ruttink TomORCID,Kang JieORCID,Milbourne DanORCID

Abstract

We have developed PotatoMASH (Potato Multi-Allele Scanning Haplotags), a novel low-cost, genome-scanning marker platform. We designed a panel of 339 multi-allelic regions placed at 1 Mb intervals throughout the euchromatic portion of the genome. These regions were assayed using a multiplex amplicon sequencing approach, which allows for genotyping hundreds of plants at a cost of 5 EUR/sample. We applied PotatoMASH to a population of over 700 potato lines. We obtained tetraploid dosage calls for 2012 short multi-allelic haplotypes in 334 loci, which ranged from 2 to 14 different haplotypes per locus. The system was able to diagnose the presence of targeted pest-resistance markers, to detect quantitative trait loci (QTLs) by genome-wide association studies (GWAS) in a tetraploid population, and to track variation in a diploid segregating population. PotatoMASH efficiently surveys genetic variation throughout the potato genome, and can be implemented as a single low-cost genotyping platform that will allow the routine and simultaneous application of marker-assisted selection (MAS) and other genotyping applications in commercial potato breeding programmes.

Funder

European Union's Horizon 2020 research and innovation program. Marie Sklodowska-Curie grant

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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