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Infectious disease dynamics. Mathematical models need to integrate the increasing volume of data being generated on host - pathogen interactions. Many theoretical studies of the population dynamics, structure and evolution of infectious diseases of plants and animals, including humans, are concerned with this problem.
Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control. Often the systems ask the grower a series of questions about the susceptibility of the host crop, and ...
The AMRFinderPlus tool from the National Center for Biotechnology Information (NCBI) is a bioinformatic tool that allows users to identify antimicrobial resistance determinants, stress response, and virulence genes in bacterial genomes. [2] This tool's development began in 2018 (as AMRFinder) and is still underway.
Manual Curation. The Pathogen-Host Interactions database ( PHI-base) [1] is a biological database that contains manually curated information on genes experimentally proven to affect the outcome of pathogen-host interactions. The database has been maintained by researchers at Rothamsted Research and external collaborators since 2005.
PLOS Pathogens is a peer-reviewed open-access medical journal. All content in PLOS Pathogens is published under the Creative Commons "by-attribution" license. PLOS Pathogens began operation in September 2005. It was the fifth journal of the Public Library of Science (PLOS), a non-profit open-access publisher.
The Emerging Pathogens Institute (EPI) is an interdisciplinary research institution associated with the University of Florida. The institute focuses on fusing key disciplines to develop outreach, education, and research capabilities designed to preserve the region's health and economy, as well as to prevent or contain new and re-emerging ...
PhytoPath was a joint scientific project between the European Bioinformatics Institute and Rothamsted Research, running from January 2012 [1] to May 30, 2017. [2] The project aimed to enable the exploitation of the growing body of “-omics” data being generated for phytopathogens, their plant hosts and related model species.
A diagram showing the infecting structures and effector delivery strategies of a model hemibiotrophic pathogen, Phytophthora infestans. Fungal effectors are proteins or non-proteinaceous molecules (such as RNAs or small molecules) secreted by pathogenic fungi into a host organism in order to modulate the host's immune response.