Guaranteeing food security in an era of rising world population,global climate change, and pressure to use land situated in harshenvironments for agriculture, is an increasing challenge. In the drivefor improved crop performance, efforts have focused on identifyinggenes controlling many traits including greater tolerance to bioticand abiotic stresses. However, several problems in identifying newcandidate genes can be distinguished. Classic forward and reversegenetic screens of plant mutants require the screening of up to hundredsof thousands of plants, yet the return is very low – typically <1%–3%of the mutant population display a desired phenotype [1-8]. Althoughcomputational methods have shown potential in identifying sets ofcandidate genes, very few studies have actually tested their predictionson mutant populations. Moreover, most of those studies that havescreened mutants defective in candidate genes, have only screened afew mutants, making it difficult to robustly assess gene discovery rate
การแปล กรุณารอสักครู่..
