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用于快速有效鉴定韩国生菜(L.)品种的全基因组单核苷酸多态性(SNP)标记核心集及Fluidigm分析方法

Genome-wide core sets of SNP markers and Fluidigm assays for rapid and effective genotypic identification of Korean cultivars of lettuce ( L.).

作者信息

Park Jee-Soo, Kang Min-Young, Shim Eun-Jo, Oh JongHee, Seo Kyoung-In, Kim Kyung Seok, Sim Sung-Chur, Chung Sang-Min, Park Younghoon, Lee Gung Pyo, Lee Won-Sik, Kim Minkyung, Jung Jin-Kee

机构信息

Seed Testing and Research Center, Korea Seed & Variety Service, Gimcheon 39660, Republic of Korea.

Department of Natural Resource Ecology and Management, Iowa State University, Ames IA 50011, USA.

出版信息

Hortic Res. 2022 May 26;9:uhac119. doi: 10.1093/hr/uhac119. eCollection 2022.

Abstract

Lettuce is one of the economically important leaf vegetables and is cultivated mainly in temperate climate areas. Cultivar identification based on the distinctness, uniformity, and stability (DUS) test is a prerequisite for new cultivar registration. However, DUS testing based on morphological features is time-consuming, labor-intensive, and costly, and can also be influenced by environmental factors. Thus, molecular markers have also been used for the identification of genetic diversity as an effective, accurate, and stable method. Currently, genome-wide single nucleotide polymorphisms (SNPs) using next-generation sequencing technology are commonly applied in genetic research on diverse plant species. This study aimed to establish an effective and high-throughput cultivar identification system for lettuce using core sets of SNP markers developed by genotyping by sequencing (GBS). GBS identified 17 877 high-quality SNPs for 90 commercial lettuce cultivars. Genetic differentiation analyses based on the selected SNPs classified the lettuce cultivars into three main groups. Core sets of 192, 96, 48, and 24 markers were further selected and validated using the Fluidigm platform. Phylogenetic analyses based on all core sets of SNPs successfully discriminated individual cultivars that have been currently recognized. These core sets of SNP markers will support the construction of a DNA database of lettuce that can be useful for cultivar identification and purity testing, as well as DUS testing in the plant variety protection system. Additionally, this work will facilitate genetic research to improve breeding in lettuce.

摘要

生菜是经济上重要的叶菜类蔬菜之一,主要种植在温带气候地区。基于特异性、一致性和稳定性(DUS)测试的品种鉴定是新品种登记的先决条件。然而,基于形态特征的DUS测试耗时、费力且成本高,还可能受环境因素影响。因此,分子标记也作为一种有效、准确且稳定的方法被用于遗传多样性鉴定。目前,利用下一代测序技术的全基因组单核苷酸多态性(SNP)在多种植物物种的遗传研究中普遍应用。本研究旨在利用通过简化基因组测序(GBS)开发的SNP标记核心集建立一种有效且高通量的生菜品种鉴定系统。GBS为90个商业生菜品种鉴定出17877个高质量SNP。基于所选SNP的遗传分化分析将生菜品种分为三个主要组。进一步选择了192、96、48和24个标记的核心集,并使用Fluidigm平台进行了验证。基于所有SNP核心集的系统发育分析成功区分了目前已被认可的各个品种。这些SNP标记核心集将支持生菜DNA数据库的构建,该数据库可用于品种鉴定和纯度测试,以及植物品种保护系统中的DUS测试。此外,这项工作将促进生菜育种的遗传研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c66/9343917/7ba8d79aa73e/uhac119f1.jpg

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