291个葡萄品种SSR分子指纹数据集
收稿日期: 2024-03-06
录用日期: 2024-04-02
网络出版日期: 2025-02-05
基金资助
国家重点研发计划(2023YFD1200100);国家农业科技园区专项(2021C-01);山东省重点研发计划(2022TZXD0010);中国农业科学院创新工程项目(CAAS-ASTIP-2021-RIP-02);怀来葡萄与葡萄酒产业科技特派团
SSR Molecular Fingerprint Dataset for 291 Grape Varieties
Received date: 2024-03-06
Accepted date: 2024-04-02
Online published: 2025-02-05
中国在全球葡萄产业中占据重要地位,栽培面积和产量均居世界前列。作为果树产业的关键分支,葡萄产业对于农民的增收和乡村振兴起到了支柱作用。国外品种的引进和自主培育极大地丰富了我国的葡萄品种储备,为产业发展奠定了基础。但品种增多也带来了品种同质化及鉴定困难,传统的形态特征鉴定方法已不再适应当前的需求。本研究对291份鲜食葡萄种质资源提取DNA,利用30对荧光标记的SSR分子标记进行了PCR和荧光毛细管电泳检测,构建品种分子指纹图谱。本研究构建的分子指纹图谱数据库共包含8 730条信息,进一步分析表明,所选用的30个引物位点平均基因型个数为10.7个,杂合度范围为0.21到0.62,平均杂合度为0.38。依据30个引物位点基因型个数,216个品种被推测为二倍体,75个为多倍体,发现二倍体品种间的相似度普遍较低,而多倍体品种的相似度则相对较高。这项研究的成果不仅为葡萄品种鉴定提供了准确依据,而且为种质资源的亲缘关系分析提供了数据支撑,对葡萄产业理论研究和实际应用均具有重要意义。
数据摘要:
| 项目 | 描述 |
|---|---|
| 数据库(集)名称 | 291个葡萄品种SSR分子指纹数据集 |
| 所属学科 | 农学,生物学 |
| 研究主题 | 葡萄品种SSR分子指纹 |
| 数据时间范围 | 2022年—2023年 |
| 时间分辨率 | 1年 |
| 数据地理空间覆盖 | 河北省张家口市怀来县 |
| 数据类型与技术格式 | .XLSX |
| 数据库(集)组成 | 本数据集由6个表格数据组成,主要包括291个葡萄品种30个引物位点的PCR产物分子量信息、30对引物的引物名称和序列信息、品种倍性推断结果、多倍体品种相似度矩阵、二倍体品种相似度矩阵和基因型频率。 |
| 数据量 | 299 kB |
| 数据可用性 | DOI:10.57760/sciencedb.agriculture.00103 CSTR:17058.11.sciencedb.agriculture.00103 |
| 经费支持 | 国家重点研发计划(2023YFD1200100);国家农业科技园区专项(2021C-01);山东省重点研发计划(2022TZXD0010);中国农业科学院创新工程项目(CAAS-ASTIP-2021-RIP-02);怀来葡萄与葡萄酒产业科技特派团 |
武亚敬, 冀晓昊, 于祎飞, 时梦, 王孝娣, 王宝亮, 刘凤之, 李明亮, 王贺, 刘俊, 王海波 . 291个葡萄品种SSR分子指纹数据集[J]. 农业大数据学报, 2025 , 7(1) : 112 -117 . DOI: 10.19788/j.issn.2096-6369.100022
China occupies an important position in the global grape industry, with cultivation area and yield ranking among the top in the world. As a key branch of the fruit tree industry, the grape industry plays a pillar role in increasing farmers' income and rural revitalization. China's grape variety collection has grown, thanks to the introduction of grapes from other countries and new types developed within China. These additions have been a key factor in growing and strengthening the grape industry. However, the increase in variety has also brought about homogenization and identification difficulties, and traditional morphological feature identification methods are no longer suitable for current needs. This investigation entailed the extraction of DNA from 291 table grape germplasm samples. Employing 30 fluorescently-tagged SSR molecular markers, PCR amplification and fluorescent capillary electrophoresis were conducted to establish a molecular fingerprint database for these cultivars. The molecular fingerprint database constructed in this study contains a total of 8730 pieces of information. Further analysis shows that the average number of genotypes for the 30 selected primer loci is 10.7, with a heterozygosity range of 0.21 to 0.62 and an average heterozygosity of 0.38. Based on the number of genotypes at 30 primer loci, 216 varieties were speculated to be diploid, while 75 were polyploid. It was found that the similarity between diploid varieties was generally low, while the similarity between polyploid varieties was relatively high. The results of this study not only provide accurate basis for grape variety identification, but also provide important data for the analysis of genetic relationships of germplasm resources, which is of great significance for theoretical research and practical applications.
Data summary:
| Items | Description |
|---|---|
| Dataset name | SSR Molecular Fingerprint Dataset for 291 Grape Varieties |
| Specific subject area | Agronomy, biology |
| Research topic | SSR molecular fingerprint of grape varieties |
| Time range | 2022—2023 |
| Temporal resolution | one year |
| Geographical scope | Huailai County, Zhangjiakou City, Hebei Province |
| Data types and technical formats | .XLSX |
| Dataset structure | This dataset consists of 6 table data, mainly including PCR product molecular weight information of 291 grape varieties and 30 primer sites, primer names and sequence information of 30 pairs of primers, variety ploidy inference results, polyploid variety similarity matrix, diploid variety similarity matrix, and genotype frequency. |
| Volume of dataset | 299 kB |
| Data accessibility |
DOI:10.57760/sciencedb.agriculture.00103 CSTR:17058.11.sciencedb.agriculture.00103 |
| Financial support | National Key R&D Program(2023YFD1200100); National Agricultural Science and Technology Park Special Project (2021C-01); Key R&D Plan of Shandong Province (2022TZXD0010); The Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences (CAAS-ASTIP-2021-RIP-02); Huailai Grape and Wine Industry Technology Mission |
Key words: grape; variety identification; ssr molecular markers; genetic diversity
| [1] | 亓桂梅, 李旋, 赵艳侠, 等. 2017年世界葡萄及葡萄酒生产及流通概况. 中外葡萄与葡萄酒, 2018(1):68-74. |
| [2] | 刘凤之. 中国葡萄栽培现状与发展趋势. 落叶果树, 2017, 49(1):1-4. |
| [3] | 郭大龙, 刘崇怀, 张君玉, 等. 葡萄核心种质的构建. 中国农业科学, 2012, 45(6):1135-1143. |
| [4] | 杨亚蒙, 姜建福, 樊秀彩, 等. 2000年以来我国葡萄国外引种概况. 中外葡萄与葡萄酒, 2018(2):54-59. |
| [5] | 孟聚星, 姜建福, 张国海, 等. 我国育成的葡萄新品种系谱分析. 果树学报, 2017, 34(4):393-409. |
| [6] | 李绍华, 梁振昌. 中国科学院植物研究所葡萄科研六十载. 生命世界, 2018(4):28-35. |
| [7] | 李贝贝, 姜建福, 张颖, 等. 葡萄品种DNA指纹数据库的构建及遗传多样性分析. 植物遗传资源学报, 2018, 19(2):338-350. |
| [8] | 王姣, 刘崇怀, 樊秀彩, 等. 葡萄种类和品种鉴定技术研究进展. 植物遗传资源学报, 2008(3):401-405. |
| [9] | 刘崇怀, 帖锋, 潘兴, 等. 无核葡萄品种资源性状的聚类分析. 果树学报, 2006(4):531-533. |
| [10] | 陆昱颖, 万然, 樊秀彩, 等. 中国和UPOV、日本葡萄品种DUS测试指南比较分析. 果树学报, 2023, 40(02):363-375. |
| [11] | 赵旗峰, 黄丽萍, 王敏, 等. 基于SSR标记的100份葡萄资源亲缘关系和群体遗传结构分析. 果树学报, 2021, 38(8):1217-1230. |
| [12] | 王衍莉, 杨义明, 范书田, 等. 基于SSR分子标记的73份山葡萄及杂交后代的遗传多样性分析. 生物技术通报, 2021, 37(1):189-197. |
| [13] | 王富强, 李贝贝, 樊秀彩, 等. 葡萄品种SSR分子鉴定体系的建立及应用. 果树学报, 2020, 37(9):1281-1293. |
| [14] | 谭伟, 赵旗峰, 李庆亮. 基于果皮SSR分子标记的二十九个红色酿酒葡萄资源的亲缘关系分析. 北方园艺, 2019(17):41-49. |
| [15] | GODOY J A, JORDANO P. Seed dispersal by animals: Exact identification of source trees with endocarp DNA microsatellites. Molecular Ecology, 2001, 10(9):2275-2283. https://doi.org/10.1046/j.0962-1083.2001.01342.x. |
| [16] | ASUKA Y, TOMARU N, NISIMURA N, et al. Heterogeneous genetic structure in a Faguscrenata population in an old-growth beech forest revealed by microsatellite markers. Molecular Ecology, 2004, 13(5): 1241-1250.https://doi.org/10.1111/j.1365-294X.2004.02118.x. |
| [17] | 郝晨阳, 王兰芬, 贾继增, 等. SSR荧光标记和银染技术的比较分析. 作物学报, 2005(2):144-149. |
| [18] | 高源, 王大江, 王昆, 等. 基于荧光SSR分析中国原产苹果属植物17个种的遗传多样性和遗传结构. 果树学报, 2020, 37(11):1611-1622. |
| [19] | NY/T 3640-2020, 葡萄品种鉴定 SSR分子标记法. |
/
| 〈 |
|
〉 |