The spring of systems biology-driven breeding Lavarenne, J. Guyomarc'h, S. Sallaud, C. /Gantet, Pascal /Lucas, Mikaël Genetics and molecular biology have contributed to the development of rationalized plant breeding programs. Recent developments in both high-throughput experimental analyses of biological systems and in silico data processing offer the possibility to address the whole gene regulatory network (GRN) controlling a given trait. GRN models can be applied to identify topological features helping to shortlist potential candidate genes for breeding purposes. Time-series data sets can be used to support dynamic modelling of the network. This will enable a deeper comprehension of network behaviour and the identification of the few elements to be genetically rewired to push the system towards a modified phenotype of interest. This paves the way to design more efficient, systems biology-based breeding strategies. 2018 text https://www.documentation.ird.fr/hor/fdi:010073683 fdi:010073683 Lavarenne J., Guyomarc'h S., Sallaud C., Gantet Pascal, Lucas Mikaël. The spring of systems biology-driven breeding. 2018, 23 (8), 706-720 EN