Lavarenne J., Guyomarc'h S., Sallaud C., Gantet Pascal, Lucas Mikaël. (2018). The spring of systems biology-driven breeding. Trends in Plant Science, 23 (8), p. 706-720. ISSN 1360-1385.
Lavarenne J., Guyomarc'h S., Sallaud C., Gantet Pascal, Lucas Mikaël
Source
Trends in Plant Science, 2018,
23 (8), p. 706-720 ISSN 1360-1385
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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Sciences du monde végétal [076]
