Filamentous plant pathogens, such as fungi and oomycetes, cause devastating diseases of crop plants resulting in serious threats to agriculture and natural ecosystems worldwide. Diseases caused by fungal pathogens, such as rice blast (Magnaporthe oryzae), wheat stem rust (Puccinia graminis), and grey mould (Botrytis cinerea), are of immediate concern for global food security. The oomycete Phytophthora infestans, the causal agent of the Great Irish Famine in the nineteenth century, remains a recurring threat to potato and tomato production today. P. sojae causes soybean root and stem rot while P. capsici infects a large number of agriculturally important vegetables, resulting in serious yield losses. In order to control these plant diseases, the broad spectrum of the infection process and pathogenic mechanisms that filamentous pathogens apply to colonize plants needs to be elucidated. However, there are still many gaps in our current understanding.
High-throughput technologies have revolutionized plant pathology research. Omics technologies, such as genomics, transcriptomics, proteomics, metabolomics, epigenomics, and microbiomics, have become celebrated important resources in the plant-pathogen interaction research. Pathogen genomics focuses on the structure, function, and evolution of genomes, while transcriptomics and proteomics provide insights into gene and protein expression. Compared to the study of a single omics type, integration of multiple types of omics data can provide researchers with an increased understanding of various aspects related to plant-pathogen biology and plant-pathogen interactions.
The scope of this Research Topic includes studies on the evolution and pathogenic mechanisms of filamentous plant pathogens using current omics approaches combined with experimental analysis. We welcome the submissions of Original Research Articles, Reviews, and Methods related to, but not limited to, the following topics:
• Single or multiple types of omics data analysis related to filamentous plant pathogens.
• Investigation of pathogen diversity, population, or evolution using multi-omics approaches.
• Functional study of pathogenesis-related genes or effectors.
• Discovery of mechanisms in plant-pathogen interactions.
• Application of omics approaches for diagnosis and control of plant diseases.
• Development of related database platforms or bioinformatics tools.
Filamentous plant pathogens, such as fungi and oomycetes, cause devastating diseases of crop plants resulting in serious threats to agriculture and natural ecosystems worldwide. Diseases caused by fungal pathogens, such as rice blast (Magnaporthe oryzae), wheat stem rust (Puccinia graminis), and grey mould (Botrytis cinerea), are of immediate concern for global food security. The oomycete Phytophthora infestans, the causal agent of the Great Irish Famine in the nineteenth century, remains a recurring threat to potato and tomato production today. P. sojae causes soybean root and stem rot while P. capsici infects a large number of agriculturally important vegetables, resulting in serious yield losses. In order to control these plant diseases, the broad spectrum of the infection process and pathogenic mechanisms that filamentous pathogens apply to colonize plants needs to be elucidated. However, there are still many gaps in our current understanding.
High-throughput technologies have revolutionized plant pathology research. Omics technologies, such as genomics, transcriptomics, proteomics, metabolomics, epigenomics, and microbiomics, have become celebrated important resources in the plant-pathogen interaction research. Pathogen genomics focuses on the structure, function, and evolution of genomes, while transcriptomics and proteomics provide insights into gene and protein expression. Compared to the study of a single omics type, integration of multiple types of omics data can provide researchers with an increased understanding of various aspects related to plant-pathogen biology and plant-pathogen interactions.
The scope of this Research Topic includes studies on the evolution and pathogenic mechanisms of filamentous plant pathogens using current omics approaches combined with experimental analysis. We welcome the submissions of Original Research Articles, Reviews, and Methods related to, but not limited to, the following topics:
• Single or multiple types of omics data analysis related to filamentous plant pathogens.
• Investigation of pathogen diversity, population, or evolution using multi-omics approaches.
• Functional study of pathogenesis-related genes or effectors.
• Discovery of mechanisms in plant-pathogen interactions.
• Application of omics approaches for diagnosis and control of plant diseases.
• Development of related database platforms or bioinformatics tools.
