Department of Plants, Soils, and Climate, College of Agriculture and Applied Sciences, Utah State University, Logan, UT 84322, USA.
Bioinformatics Facility, Center for Integrated BioSystems, College of Agriculture and Applied Sciences, Utah State University, Logan, UT 84322, USA.
Int J Mol Sci. 2021 Aug 3;22(15):8342. doi: 10.3390/ijms22158342.
Alfalfa has emerged as one of the most important forage crops, owing to its wide adaptation and high biomass production worldwide. In the last decade, the emergence of bacterial stem blight (caused by pv. ALF3) in alfalfa has caused around 50% yield losses in the United States. Studies are being conducted to decipher the roles of the key genes and pathways regulating the disease, but due to the sparse knowledge about the infection mechanisms of , the development of resistant cultivars is hampered. The database alfaNET is an attempt to assist researchers by providing comprehensive proteome annotations, as well as a host-pathogen interactome tool, which predicts the interactions between host and pathogen based on orthology. alfaNET is a user-friendly and efficient tool and includes other features such as subcellular localization annotations of pathogen proteins, gene ontology (GO) annotations, network visualization, and effector protein prediction. Users can also browse and search the database using particular keywords or proteins with a specific length. Additionally, the BLAST search tool enables the user to perform a homology sequence search against the alfalfa and proteomes. With the successful implementation of these attributes, alfaNET will be a beneficial resource to the research community engaged in implementing molecular strategies to mitigate the disease. alfaNET is freely available for public use at http://bioinfo.usu.edu/alfanet/.
紫花苜蓿已成为最重要的饲料作物之一,这归因于其在全球范围内的广泛适应性和高生物量生产。在过去的十年中,苜蓿细菌性茎疫病(由 pv. ALF3 引起)的出现导致美国约 50%的产量损失。目前正在进行研究以破译调节该疾病的关键基因和途径的作用,但由于对感染机制的了解甚少,抗性品种的开发受到阻碍。alfaNET 数据库是一种尝试,通过提供全面的蛋白质组注释以及宿主-病原体互作工具,来帮助研究人员,该工具基于同源性预测宿主与病原体之间的相互作用。alfaNET 是一个用户友好且高效的工具,包括其他功能,如病原体蛋白的亚细胞定位注释、基因本体 (GO) 注释、网络可视化和效应蛋白预测。用户还可以使用特定的关键字或特定长度的蛋白质浏览和搜索数据库。此外,BLAST 搜索工具允许用户对紫花苜蓿和 蛋白质组进行同源序列搜索。随着这些属性的成功实现,alfaNET 将成为参与实施减轻疾病的分子策略的研究社区的有益资源。alfaNET 可在 http://bioinfo.usu.edu/alfanet/ 上免费供公众使用。