Pathogens are imminent threats to crop production. Among the management tools available to protect crops from diseases, the use of host-plant resistance had been hindered by a lack of tools and resources to identify r...Pathogens are imminent threats to crop production. Among the management tools available to protect crops from diseases, the use of host-plant resistance had been hindered by a lack of tools and resources to identify resistance genes (R-genes). Genomic technologies have empowered acquisition of a new level and quality of information on plant-pathogen interactions. Next generation sequencing, differential transcriptome analysis, gene editing, and use of bioinformatics have greatly expanded the numbers of R-genes identified, enriched understanding of R-avirulence gene interactions, and disease diagnosis. In this review, we highlight the application of genomic technologies to identification of pathogen machinery for future improvement of host plant resistance.展开更多
The US cotton production system exemplifies the complex challenges that must be met in order to reduce the genetic vulnerability of a major crop. Genetic vulnerability results from a combination of a crop's ev... The US cotton production system exemplifies the complex challenges that must be met in order to reduce the genetic vulnerability of a major crop. Genetic vulnerability results from a combination of a crop's evolutionary history,trends in breeding and biotechnology practices,and grower Decisions based on inadequate information being available, all in response to the inevitable pressures imposed by processor and consumer requirements.
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文摘Pathogens are imminent threats to crop production. Among the management tools available to protect crops from diseases, the use of host-plant resistance had been hindered by a lack of tools and resources to identify resistance genes (R-genes). Genomic technologies have empowered acquisition of a new level and quality of information on plant-pathogen interactions. Next generation sequencing, differential transcriptome analysis, gene editing, and use of bioinformatics have greatly expanded the numbers of R-genes identified, enriched understanding of R-avirulence gene interactions, and disease diagnosis. In this review, we highlight the application of genomic technologies to identification of pathogen machinery for future improvement of host plant resistance.
文摘 The US cotton production system exemplifies the complex challenges that must be met in order to reduce the genetic vulnerability of a major crop. Genetic vulnerability results from a combination of a crop's evolutionary history,trends in breeding and biotechnology practices,and grower Decisions based on inadequate information being available, all in response to the inevitable pressures imposed by processor and consumer requirements.
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