Fungi and fungi-like oomycetes represent the largest group of pathogens causing plant diseases. With more intense climate change and increased global trade of plant materials, it is foreseeable that more adaptive pathogens could frequently emerge, and the established pathogens could spread to new geographical and host inches. To prevent potential epidemics, understanding the population biology of these emerged and re-emerged pathogens and the disease epidemiology are needed. In the last few decades, population genetics benefited from multi-locus sequence genotyping and analyses, and advanced the diverse aspects of plant fungal pathogens, such as population stratification, origin of pathogens, migration patterns, etc. More recently, the decreasing cost of whole (and partial) genome sequencing provided opportunities to simultaneously genotype tens of thousands of loci over large populations. Moreover, this couples with rapid theoretical and methodological advances, and therefor enabling us to explorer more questions in population genomics era for fungi and oomycete plant pathogens.
The goal of this topic is to highlight the application of population genomics on understanding population biology and epidemiology of plant pathogens. We also hope to translate the theories of population genomics to applied research in plant pathology, e.g., to rapid detect the emergence of potential epidemics, to monitor the spread of pathogens, to guide the integrative disease management, etc.
Scope of this topic includes, but not limited to:
? population genomics of plant pathogenic fungi and oomycetes;
? the five evolutionary forces shaping a population: natural selection, mutation, genetic drift, migration, and recombination, for specific pathogens;
? genome evolution and adaptation;
? detection of genome-wide structure variations, and benchmarking of analytic tools.
For authors:
We welcome article types of “original research”, “systematic review”, “protocols”, “review”, “mini review”, “perspective”, “data report”, and “Brief Research Report” that are within the scope of this topic.
Fungi and fungi-like oomycetes represent the largest group of pathogens causing plant diseases. With more intense climate change and increased global trade of plant materials, it is foreseeable that more adaptive pathogens could frequently emerge, and the established pathogens could spread to new geographical and host inches. To prevent potential epidemics, understanding the population biology of these emerged and re-emerged pathogens and the disease epidemiology are needed. In the last few decades, population genetics benefited from multi-locus sequence genotyping and analyses, and advanced the diverse aspects of plant fungal pathogens, such as population stratification, origin of pathogens, migration patterns, etc. More recently, the decreasing cost of whole (and partial) genome sequencing provided opportunities to simultaneously genotype tens of thousands of loci over large populations. Moreover, this couples with rapid theoretical and methodological advances, and therefor enabling us to explorer more questions in population genomics era for fungi and oomycete plant pathogens.
The goal of this topic is to highlight the application of population genomics on understanding population biology and epidemiology of plant pathogens. We also hope to translate the theories of population genomics to applied research in plant pathology, e.g., to rapid detect the emergence of potential epidemics, to monitor the spread of pathogens, to guide the integrative disease management, etc.
Scope of this topic includes, but not limited to:
? population genomics of plant pathogenic fungi and oomycetes;
? the five evolutionary forces shaping a population: natural selection, mutation, genetic drift, migration, and recombination, for specific pathogens;
? genome evolution and adaptation;
? detection of genome-wide structure variations, and benchmarking of analytic tools.
For authors:
We welcome article types of “original research”, “systematic review”, “protocols”, “review”, “mini review”, “perspective”, “data report”, and “Brief Research Report” that are within the scope of this topic.