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植原体病害与症状数据库:PhyDSDB

PhyDSDB: Phytoplasma Disease and Symptom Database.

作者信息

Wei Wei, Shao Jonathan, Zhao Yan, Inaba Junichi, Ivanauskas Algirdas, Bottner-Parker Kristi D, Costanzo Stefano, Kim Bo Min, Flowers Kailin, Escobar Jazmin

机构信息

Molecular Plant Pathology Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA.

Statistics and Bioinformatics Group-Northeast Area, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA.

出版信息

Biology (Basel). 2024 Aug 24;13(9):657. doi: 10.3390/biology13090657.

Abstract

Phytoplasmas are small, intracellular bacteria that infect a vast range of plant species, causing significant economic losses and impacting agriculture and farmers' livelihoods. Early and rapid diagnosis of phytoplasma infections is crucial for preventing the spread of these diseases, particularly through early symptom recognition in the field by farmers and growers. A symptom database for phytoplasma infections can assist in recognizing the symptoms and enhance early detection and management. In this study, nearly 35,000 phytoplasma sequence entries were retrieved from the NCBI nucleotide database using the keyword "phytoplasma" and information on phytoplasma disease-associated plant hosts and symptoms was gathered. A total of 945 plant species were identified to be associated with phytoplasma infections. Subsequently, links to symptomatic images of these known susceptible plant species were manually curated, and the Phytoplasma Disease Symptom Database (PhyDSDB) was established and implemented on a web-based interface using the MySQL Server and PHP programming language. One of the key features of PhyDSDB is the curated collection of links to symptomatic images representing various phytoplasma-infected plant species, allowing users to easily access the original source of the collected images and detailed disease information. Furthermore, images and descriptive definitions of typical symptoms induced by phytoplasmas were included in PhyDSDB. The newly developed database and web interface, equipped with advanced search functionality, will help farmers, growers, researchers, and educators to efficiently query the database based on specific categories such as plant host and symptom type. This resource will aid the users in comparing, identifying, and diagnosing phytoplasma-related diseases, enhancing the understanding and management of these infections.

摘要

植原体是一类小型的细胞内细菌,可感染多种植物物种,造成重大经济损失,影响农业和农民生计。植原体感染的早期快速诊断对于预防这些疾病的传播至关重要,特别是通过农民和种植者在田间早期识别症状来实现。植原体感染症状数据库有助于识别症状,加强早期检测和管理。在本研究中,使用关键词“植原体”从NCBI核苷酸数据库中检索了近35000条植原体序列条目,并收集了与植原体疾病相关的植物宿主和症状信息。共确定945种植物物种与植原体感染有关。随后,人工整理了这些已知易感植物物种的症状图像链接,并使用MySQL服务器和PHP编程语言在基于网络的界面上建立并实施了植原体疾病症状数据库(PhyDSDB)。PhyDSDB的一个关键特性是精心整理了代表各种受植原体感染植物物种的症状图像链接,允许用户轻松访问所收集图像的原始来源和详细的疾病信息。此外,PhyDSDB还包括植原体诱导的典型症状的图像和描述性定义。新开发的数据库和网络界面具备先进的搜索功能,将帮助农民、种植者、研究人员和教育工作者根据植物宿主和症状类型等特定类别高效查询数据库。这一资源将帮助用户比较、识别和诊断与植原体相关的疾病,加强对这些感染的理解和管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecaf/11429218/ca652125c7e3/biology-13-00657-g002.jpg

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