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PIDS:一个用户友好的植物 DNA 指纹图谱数据库管理系统。

PIDS: A User-Friendly Plant DNA Fingerprint Database Management System.

机构信息

Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.

出版信息

Genes (Basel). 2020 Mar 30;11(4):373. doi: 10.3390/genes11040373.

DOI:10.3390/genes11040373
PMID:32235513
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7230844/
Abstract

The high variability and somatic stability of DNA fingerprints can be used to identify individuals, which is of great value in plant breeding. DNA fingerprint databases are essential and important tools for plant molecular research because they provide powerful technical and information support for crop breeding, variety quality control, variety right protection, and molecular marker-assisted breeding. Building a DNA fingerprint database involves the production of large amounts of heterogeneous data for which storage, analysis, and retrieval are time and resource consuming. To process the large amounts of data generated by laboratories and conduct quality control, a database management system is urgently needed to track samples and analyze data. We developed the plant international DNA-fingerprinting system (PIDS) using an open source web server and free software that has automatic collection, storage, and efficient management functions based on merging and comparison algorithms to handle massive microsatellite DNA fingerprint data. PIDS also can perform genetic analyses. This system can match a corresponding capillary electrophoresis image on each primer locus as fingerprint data to upload to the server. PIDS provides free customization and extension of back-end functions to meet the requirements of different laboratories. This system can be a significant tool for plant breeders and can be applied in forensic science for human fingerprint identification, as well as in virus and microorganism research.

摘要

DNA 指纹图谱的高度变异性和体细胞稳定性可用于个体鉴定,这在植物育种中具有重要价值。DNA 指纹图谱数据库是植物分子研究的重要工具,因为它们为作物育种、品种质量控制、品种权保护和分子标记辅助育种提供了强大的技术和信息支持。建立 DNA 指纹图谱数据库涉及大量异质数据的生成,这些数据的存储、分析和检索既耗时又耗资源。为了处理实验室产生的大量数据并进行质量控制,迫切需要一个数据库管理系统来跟踪样品并分析数据。我们使用开源 Web 服务器和免费软件开发了植物国际 DNA 指纹图谱系统(PIDS),该系统具有自动采集、存储和高效管理功能,基于合并和比较算法来处理大量微卫星 DNA 指纹图谱数据。PIDS 还可以进行遗传分析。该系统可以将每个引物位点的相应毛细管电泳图像作为指纹数据进行匹配,然后上传到服务器。PIDS 提供免费定制和扩展后端功能,以满足不同实验室的需求。该系统可以成为植物育种者的重要工具,并可应用于法医科学中的人类指纹识别以及病毒和微生物研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b09/7230844/8999812bb7b0/genes-11-00373-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b09/7230844/51f8f3bba846/genes-11-00373-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b09/7230844/5924be76c862/genes-11-00373-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b09/7230844/87ddc6877ea1/genes-11-00373-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b09/7230844/8999812bb7b0/genes-11-00373-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b09/7230844/51f8f3bba846/genes-11-00373-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b09/7230844/5924be76c862/genes-11-00373-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b09/7230844/87ddc6877ea1/genes-11-00373-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b09/7230844/8999812bb7b0/genes-11-00373-g004.jpg

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