Numerous crop diseases are major factors responsible for substantial yield losses worldwide, which affects global food security. With global warming and structural changes in agricultural production, crop disease outbreaks and epidemics have become more frequent, and new types or variants of phytopathogens are expected to emerge and evolve. Hence, crop health and crop production face more challenges. New methods of pathogen identification and characterization, and a more thorough understanding of the mechanisms governing plant-microbe interaction are critical for designing tailored crop health management strategies to minimize crop losses to pathogens.
Tremendous progress has been made in deciphering the molecular mechanisms of plant immunity using model pathosystems in the past two decades. However, mechanisms of disease resistance in many crops remain poorly characterized owing to the genetic/genomic complexity of many crop species and/or poor understanding of their pathogens. However, the next-generation DNA sequencing technologies have enabled genome sequencing and characterization for many crop species and their pathogens, greatly facilitating research on mechanisms underlying crop-pathogen interaction in recent years.
The goal of this research topic is to create an opportunity for researchers studying plant-microbe interaction to present their most recent findings with a focus on mechanisms of crop resistance against various pathogens. Such new knowledge should help improve crop health and/or reduce the use of pesticides, thereby contributing to sustainable agriculture.
We welcome submissions of different types of manuscripts ranging from original research, methodology development to reviews, including but not limited to:
? Pattern identification of crop disease prevalence using novel intelligent techniques
? Identification of resistance genes in crops
? Molecular characterization of crop resistance genes
? Other mechanisms impacting crop-pathogen interaction
? Novel breeding strategies for improving disease resistance in crops
? Novel and/or efficient utilization of crop resistance genes
Disclaimer: Articles may include both studies based on experimentation as well as simulation modeling. Descriptive studies based solely on data integration will not be considered unless further experiments have also been conducted to verify the mechanisms governing crop-pathogen interactions.
Numerous crop diseases are major factors responsible for substantial yield losses worldwide, which affects global food security. With global warming and structural changes in agricultural production, crop disease outbreaks and epidemics have become more frequent, and new types or variants of phytopathogens are expected to emerge and evolve. Hence, crop health and crop production face more challenges. New methods of pathogen identification and characterization, and a more thorough understanding of the mechanisms governing plant-microbe interaction are critical for designing tailored crop health management strategies to minimize crop losses to pathogens.
Tremendous progress has been made in deciphering the molecular mechanisms of plant immunity using model pathosystems in the past two decades. However, mechanisms of disease resistance in many crops remain poorly characterized owing to the genetic/genomic complexity of many crop species and/or poor understanding of their pathogens. However, the next-generation DNA sequencing technologies have enabled genome sequencing and characterization for many crop species and their pathogens, greatly facilitating research on mechanisms underlying crop-pathogen interaction in recent years.
The goal of this research topic is to create an opportunity for researchers studying plant-microbe interaction to present their most recent findings with a focus on mechanisms of crop resistance against various pathogens. Such new knowledge should help improve crop health and/or reduce the use of pesticides, thereby contributing to sustainable agriculture.
We welcome submissions of different types of manuscripts ranging from original research, methodology development to reviews, including but not limited to:
? Pattern identification of crop disease prevalence using novel intelligent techniques
? Identification of resistance genes in crops
? Molecular characterization of crop resistance genes
? Other mechanisms impacting crop-pathogen interaction
? Novel breeding strategies for improving disease resistance in crops
? Novel and/or efficient utilization of crop resistance genes
Disclaimer: Articles may include both studies based on experimentation as well as simulation modeling. Descriptive studies based solely on data integration will not be considered unless further experiments have also been conducted to verify the mechanisms governing crop-pathogen interactions.
