https://www.science.org/content/article/landmark-gene-edited-rice-crop-destroyed-italy #agriculture #genetics #gene—edited #rice #destroyed #italy #CRISPR #Arborio #RiceBlast
Genome editing used to create disease-resistant rice
Researchers from the University of California, Davis, and an international team of scientists have used the genome-editing tool CRISPR-Cas to create disease-resistant rice plants, according to a new study published in the journal Nature June 14.
#CRISPR #rice #RiceBlast #fungus
https://phys.org/news/2023-06-genome-disease-resistant-rice.html
Researchers from the University of California, Davis, and an international team of scientists have used the genome-editing tool CRISPR-Cas to create disease-resistant rice plants, according to a new study published in the journal Nature June 14.
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"the five most important calorie crops — #rice, #wheat, #maize (corn), #soya beans and #potatoes — can be affected by #RiceBlast fungus, wheat stem rust, corn smut, soybean rust and potato late blight disease [...], respectively.
And losses from these fungi equate to enough food to provide some 600 million to 4,000 million #people with 2,000 #calories every day for one year.
Such losses are likely to increase in a warming world" [5]
Studies focused solely on single organisms can fail to identify the networks underlying host–pathogen gene-for-gene interactions. Integrating genetic analyses of the pathogen rice blast fungus and its host plant helps to disentangle the complex interactions that determine the outcome of plant-pathogen interactions and reveals a previously overlooked pathogen effector.
Studies focused solely on single organisms can fail to identify the networks underlying host–pathogen gene-for-gene interactions. Integrating genetic analyses of the pathogen rice blast fungus and its host plant helps to disentangle the complex interactions that determine the outcome of plant-pathogen interactions and reveals a previously overlooked pathogen effector.
Studies focused solely on single organisms can fail to identify the networks underlying host–pathogen gene-for-gene interactions. Integrating genetic analyses of the pathogen rice blast fungus and its host plant helps to disentangle the complex interactions that determine the outcome of plant-pathogen interactions and reveals a previously overlooked pathogen effector.