e-journal
Revealing gene regulation and associations through biologicalnetworks
tTraditionally, over the last 10,000 years, agriculture has relied on natural biological evolution and carefulselection of plant varieties by farmers that was used as the founder material by plant breeders in the last150 years for further genetic improvement. Plant breeders played an important role mainly by introgres-sion of a trait of interest, through the transfer of genetic loci, into an elite crop line that exhibits high-yieldperformance across a wide range of conditions. Modern agriculture has relied on the use of biotechnolo-gies and molecular biology to improve marker development and aid in the discovery of candidate loci orgenes associated with desirable traits, thereby reducing the time required for selective breeding.In this review, we briefly describe the evolution of the methods used to identify candidate leads (gene,loci or regulatory regions) for crop improvement, starting by quantitative genetic methods. The develop-ment of co-expression and molecular networks will be described. It will be shown how network analysiscan reinforced the discovery of candidate genes/loci more rapidly and with higher confidence. Theseimprovements will serve to accelerate genetic engineering and molecular breeding as modern agricul-ture confronts the challenging times ahead, with the increase of abiotic stresses for crops as drought,heat, soil high salinity or waterlogging.Without taking in account possible losses due these growing stresses, the increase in crop yields needsto be significantly accelerated to feed the growing world population, following the FAO previsions.
2015Keywords:Inference networksQTLIn-vitro networksCandidate genesGene prioritizationCo-expression
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