Jian Zhang , Jun Ren , Jingjing Yang , Shenzao Fu , XiaoFei Zhang , Changxuan Xia , Hong Zhao , Kun Yang , Changlong Wen
{"title":"Evaluation of SNP fingerprinting for variety identification of tomato by DUS testing","authors":"Jian Zhang , Jun Ren , Jingjing Yang , Shenzao Fu , XiaoFei Zhang , Changxuan Xia , Hong Zhao , Kun Yang , Changlong Wen","doi":"10.1016/j.agrcom.2023.100006","DOIUrl":null,"url":null,"abstract":"<div><p>Variety identification is crucial for PBR (plant breeders’ rights) protection and PVR (plant variety registration). DUS (Distinctness, Uniformity and Stability) testing, utilizing field-based morphological inspection and DNA fingerprinting with molecular markers in the laboratory are commonly employed methods for variety identification. However, the limited number of molecular markers used in DNA fingerprinting often lacks close linkage to DUS traits. In this study, 116 tomato varieties were well identified both by SNP fingerprinting and DUS testing. PCA (Principal Component Analysis) and population classification demonstrated a highly consistent outcome between SNP fingerprinting and DUS testing, resulting in the division of 116 varieties into three groups: big fruit, cherry, and processing tomatoes. Furthermore, we selected a new set of 16 core SNPs and 18 core DUS traits, which exhibited higher efficiency in variety identification due to their convenient and easy processing. Moreover, the observed variations in SNP markers among each pair of tomato varieties were linearly correlated with those comparison of all different DUS traits (R<sup>2</sup> = 0.85), and the linear correlation was also obtained based on the comparison of different core SNP fingerprints with those of the core DUS traits (R<sup>2</sup> = 0.86). In conclusion, we evaluated SNP fingerprinting for variety identification in comparison to DUS testing, and found these two methods had consistent result. This study also highlights the potential of limited core DUS traits and core SNP fingerprints for effective identification and discrimination of tomato varieties.</p></div>","PeriodicalId":100065,"journal":{"name":"Agriculture Communications","volume":"1 1","pages":"Article 100006"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agriculture Communications","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949798123000066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Variety identification is crucial for PBR (plant breeders’ rights) protection and PVR (plant variety registration). DUS (Distinctness, Uniformity and Stability) testing, utilizing field-based morphological inspection and DNA fingerprinting with molecular markers in the laboratory are commonly employed methods for variety identification. However, the limited number of molecular markers used in DNA fingerprinting often lacks close linkage to DUS traits. In this study, 116 tomato varieties were well identified both by SNP fingerprinting and DUS testing. PCA (Principal Component Analysis) and population classification demonstrated a highly consistent outcome between SNP fingerprinting and DUS testing, resulting in the division of 116 varieties into three groups: big fruit, cherry, and processing tomatoes. Furthermore, we selected a new set of 16 core SNPs and 18 core DUS traits, which exhibited higher efficiency in variety identification due to their convenient and easy processing. Moreover, the observed variations in SNP markers among each pair of tomato varieties were linearly correlated with those comparison of all different DUS traits (R2 = 0.85), and the linear correlation was also obtained based on the comparison of different core SNP fingerprints with those of the core DUS traits (R2 = 0.86). In conclusion, we evaluated SNP fingerprinting for variety identification in comparison to DUS testing, and found these two methods had consistent result. This study also highlights the potential of limited core DUS traits and core SNP fingerprints for effective identification and discrimination of tomato varieties.
品种鉴定是保护植物育种者权利和植物品种登记的关键。DUS(Distincity,Uniformity and Stability)检测、利用田间形态学检查和实验室中分子标记的DNA指纹是品种鉴定的常用方法。然而,DNA指纹图谱中使用的分子标记数量有限,往往与DUS性状缺乏紧密联系。在本研究中,通过SNP指纹图谱和DUS测试,116个番茄品种得到了很好的鉴定。PCA(主成分分析)和群体分类表明,SNP指纹图谱和DUS测试之间的结果高度一致,将116个品种分为三组:大果、樱桃和加工番茄。此外,我们选择了一组新的16个核心SNPs和18个核心DUS性状,它们由于加工方便而在品种鉴定中表现出更高的效率。此外,在每对番茄品种中观察到的SNP标记的变化与所有不同DUS性状的比较呈线性相关(R2=0.85),并且基于不同核心SNP指纹与核心DUS性状指纹的比较也获得了线性相关性(R2=0.86)。总之,与DUS测试相比,我们评估了用于品种鉴定的SNP指纹图谱,并发现这两种方法具有一致的结果。本研究还强调了有限的核心DUS性状和核心SNP指纹在番茄品种有效鉴定和鉴别方面的潜力。