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园艺学报 ›› 2025, Vol. 52 ›› Issue (5): 1285-1300.doi: 10.16420/j.issn.0513-353x.2025-0204

• 遗传育种·种质资源·分子生物学 • 上一篇    下一篇

芸薹属蔬菜分子标记数据库VEGMarkerDB的开发与应用

杨宝菊1,2, 贺小宁3, 陈海旭2, 蔡旭2, 侯佳伟2, 李玉芳2, 王辉1, 王晓武2,*(), 武剑2,*()   

  1. 1 青岛农业大学园艺学院,山东青岛 266000
    2 中国农业科学院蔬菜花卉研究所,蔬菜生物育种全国重点实验室,北京 100081
    3 法国巴黎萨克雷大学植物科学研究所,法国奥赛 91405
  • 收稿日期:2025-03-06 修回日期:2025-05-06 出版日期:2025-05-23 发布日期:2025-05-21
  • 通讯作者:
    *E-mail:
  • 基金资助:
    现代农业产业技术体系建设专项资助(CARS-10-P19); 中国农业科学院基本科研业务费专项(Y2023PT16); 国家重点研发计划项目(2022YFF1003003); 北京市乡村振兴农业科技项目(NY2401140124)

Development and Application of VEGMarkerDB:a Molecular Marker Database for Brassica Vegetable Crops

YANG Baoju1,2, HE Xiaoning3, CHEN Haixu2, CAI Xu2, HOU Jiawei2, LI Yufang2, WANG Hui1, WANG Xiaowu2,*(), WU Jian2,*()   

  1. 1 College of Horticulture,Qingdao Agricultural University,Qingdao,Shandong 266000,China
    2 State Key Laboratory of Vegetable Biobreeding,Institute of Vegetables and Flowers,Chinese Academy of Agricultural Sciences,Beijing 100081,China
    3 Institute of Plant Sciences Paris-Saclay (IPS2),Orsay 91405,France
  • Received:2025-03-06 Revised:2025-05-06 Published:2025-05-23 Online:2025-05-21

摘要:

分子标记作为DNA水平遗传多态性的直接表征,在蔬菜遗传研究中具有重要应用价值。针对现有分子标记分析工具存在操作复杂、引物设计效率低下的问题,本研究基于SNP和InDel分子标记开发了整合数据存储与高通量引物设计的芸薹属蔬菜分子标记数据库VEGMarkerDB。系统采用B/S架构,基于Django框架构建后端服务,结合MySQL数据库管理系统,整合了白菜(Brassica rapa)、甘蓝(B. oleracea)、甘蓝型油菜(B. napus)和芥菜(B. juncea)四大类作物的重测序数据及VCF变异文件。数据库提供变异位点检索服务,可以根据染色体位置查询,实现分子标记信息的快速定位。创新性地开发了在线批量引物设计模块,采用并行计算技术处理用户提交的批量设计任务,通过可视化界面实时反馈候选引物参数(包括退火温度、GC含量、产物长度等),并生成标准化实验报告。利用实验室现有材料对本数据库设计的KASP引物进行验证,设计成功率高达95%以上。VEGMarkerDB实现了芸薹属蔬菜多物种分子标记资源的整合管理;实现了基于Web的批量化引物设计解决方案;建立了实验验证与算法优化的闭环反馈机制。VEGMarkerDB(vegmarker.top)为芸薹属蔬菜分子育种研究提供了高效的技术平台,其基于通用关系型数据库架构的模块化设计可扩展应用于其他作物体系。

关键词: 芸薹属, 分子标记, 数据库, 在线批量引物设计, KASP

Abstract:

As a direct characterization of genetic polymorphisms at DNA level,molecular markers have important application value in vegetable genetic research. Aiming at the problems of complex operation and low efficiency of primer design in existing molecular marker analysis tools,in this study,VEGMarkerDB,a molecular marker database for Brassica vegetables,was developed based on SNP and InDel markers with integrated data storage and high-throughput primers design. The system adopts B/S architecture,builds back-end services based on Django framework,and combines MySQL database management system. Resequencing data and VCF variation files of cabbage(Brassica rapa),cabbage(B. oleracea),rapeseed(B. napus)and mustard(B. juncea)were integrated. The database provides mutation site retrieval services,which can be queried according to the location of chromosomes to realize the rapid location of molecular marker information. This system provides real-time feedback on candidate primer parameters(e.g.,Tm value,GC content,amplicon length)via an interactive visual interface,while automatically generating standardized experimental reports. Experimental validation using laboratory materials demonstrated a KASP primer design success rate exceeding 95%. The system’s technical innovations include:(1) Establishment of an integrated management platform for multispecies molecular marker resources in Brassica vegetables;(2) Implementation of web-based parallel primer design architecture;(3) Development of a closed-loop optimization mechanism integrating experimental validation with algorithmic refinement. As a modular technical platform accessible at VEGMarkerDB(vegmarker.top/),this system not only advances molecular breeding research in vegetable crops but also demonstrates extensibility to other agricultural systems through its adaptable framework.

Key words: Brassica, molecular marker, database, high-throughput on-line primer design, KASP