Zining Wang, Xiangjia Wu, Zhi Pi, Zedong Wu, Shengnan Li
{"title":"利用 CEAP 分子标记分析红甜菜种质资源的遗传多样性","authors":"Zining Wang, Xiangjia Wu, Zhi Pi, Zedong Wu, Shengnan Li","doi":"10.1007/s12355-024-01473-2","DOIUrl":null,"url":null,"abstract":"<div><p>Red beet is a significant crop, particularly in sugar production. This study aimed to develop a molecular identification system and <i>cis-element</i> amplified polymorphism (CEAP) fingerprints for red beet to address the issues related to the proliferation of counterfeit seeds and to enhance the understanding of the genetic relationships among red beet germplasm resources. By developing these tools, this study aimed to facilitate the identification of distinct red beet germplasm resources, ensure product integrity, and safeguard the intellectual property rights of new varieties. This study amplified 32 red beet varieties (lines) using polymerase chain reaction with 17 CEAP primers. The amplified products were then analyzed using 2% agarose gel electrophoresis. The electrophoretic test results indicated that the mean values of genetic diversity indices such as Na, Ne, I, He, Nm, and polymorphism information content for each primer were 6.5882, 3.8766, 1.4836, 0.7088, 0.2532, and 0.6649, respectively. The genetic distances among the varieties (lines) ranged between 0.129 and 0.404. The UPGMA cluster analysis revealed that the 32 red beet varieties (lines) could be divided into six groups. The fingerprints of the red beet varieties (lines) were generated using three key primers: GATAA6, TGAC28, and AAAG25. The findings of this study provided a theoretical basis for identifying, protecting, and tracing different red beet varieties, as well as advancing innovation in germplasm and associated intellectual property rights.</p></div>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"26 5","pages":"1477 - 1486"},"PeriodicalIF":1.8000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic Diversity Analysis of Red Beet Germplasm Resources Using CEAP Molecular Markers\",\"authors\":\"Zining Wang, Xiangjia Wu, Zhi Pi, Zedong Wu, Shengnan Li\",\"doi\":\"10.1007/s12355-024-01473-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Red beet is a significant crop, particularly in sugar production. This study aimed to develop a molecular identification system and <i>cis-element</i> amplified polymorphism (CEAP) fingerprints for red beet to address the issues related to the proliferation of counterfeit seeds and to enhance the understanding of the genetic relationships among red beet germplasm resources. By developing these tools, this study aimed to facilitate the identification of distinct red beet germplasm resources, ensure product integrity, and safeguard the intellectual property rights of new varieties. This study amplified 32 red beet varieties (lines) using polymerase chain reaction with 17 CEAP primers. The amplified products were then analyzed using 2% agarose gel electrophoresis. The electrophoretic test results indicated that the mean values of genetic diversity indices such as Na, Ne, I, He, Nm, and polymorphism information content for each primer were 6.5882, 3.8766, 1.4836, 0.7088, 0.2532, and 0.6649, respectively. The genetic distances among the varieties (lines) ranged between 0.129 and 0.404. The UPGMA cluster analysis revealed that the 32 red beet varieties (lines) could be divided into six groups. The fingerprints of the red beet varieties (lines) were generated using three key primers: GATAA6, TGAC28, and AAAG25. The findings of this study provided a theoretical basis for identifying, protecting, and tracing different red beet varieties, as well as advancing innovation in germplasm and associated intellectual property rights.</p></div>\",\"PeriodicalId\":781,\"journal\":{\"name\":\"Sugar Tech\",\"volume\":\"26 5\",\"pages\":\"1477 - 1486\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sugar Tech\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12355-024-01473-2\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sugar Tech","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s12355-024-01473-2","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
Genetic Diversity Analysis of Red Beet Germplasm Resources Using CEAP Molecular Markers
Red beet is a significant crop, particularly in sugar production. This study aimed to develop a molecular identification system and cis-element amplified polymorphism (CEAP) fingerprints for red beet to address the issues related to the proliferation of counterfeit seeds and to enhance the understanding of the genetic relationships among red beet germplasm resources. By developing these tools, this study aimed to facilitate the identification of distinct red beet germplasm resources, ensure product integrity, and safeguard the intellectual property rights of new varieties. This study amplified 32 red beet varieties (lines) using polymerase chain reaction with 17 CEAP primers. The amplified products were then analyzed using 2% agarose gel electrophoresis. The electrophoretic test results indicated that the mean values of genetic diversity indices such as Na, Ne, I, He, Nm, and polymorphism information content for each primer were 6.5882, 3.8766, 1.4836, 0.7088, 0.2532, and 0.6649, respectively. The genetic distances among the varieties (lines) ranged between 0.129 and 0.404. The UPGMA cluster analysis revealed that the 32 red beet varieties (lines) could be divided into six groups. The fingerprints of the red beet varieties (lines) were generated using three key primers: GATAA6, TGAC28, and AAAG25. The findings of this study provided a theoretical basis for identifying, protecting, and tracing different red beet varieties, as well as advancing innovation in germplasm and associated intellectual property rights.
期刊介绍:
The journal Sugar Tech is planned with every aim and objectives to provide a high-profile and updated research publications, comments and reviews on the most innovative, original and rigorous development in agriculture technologies for better crop improvement and production of sugar crops (sugarcane, sugar beet, sweet sorghum, Stevia, palm sugar, etc), sugar processing, bioethanol production, bioenergy, value addition and by-products. Inter-disciplinary studies of fundamental problems on the subjects are also given high priority. Thus, in addition to its full length and short papers on original research, the journal also covers regular feature articles, reviews, comments, scientific correspondence, etc.