%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Lavarenne, J.
%A Guyomarc'h, S.
%A Sallaud, C.
%A Gantet, Pascal
%A Lucas, Mikaël
%T The spring of systems biology-driven breeding
%D 2018
%L fdi:010073683
%G ENG
%J Trends in Plant Science
%@ 1360-1385
%M ISI:000439725600009
%N 8
%P 706-720
%R 10.1016/j.tplants.2018.04.005
%U https://www.documentation.ird.fr/hor/fdi:010073683
%> https://www.documentation.ird.fr/intranet/publi/2018/08/010073683.pdf
%V 23
%W Horizon (IRD)
%X 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.
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