Artificial intelligence provides insight in plant life
Scheres and Van der Putten state that further research on the amazing flexibility in plants responding to their environment may be used for exploring novel approaches targeted at effectively enhancing the sustainability of future world food production.
This is a graphic representation of the connectivity in plant growth-regulatory networks as presented by Scheres & Van der Putten. The intrinsic developmental program in plants sets up spatially restricted domains of growth-factor signalling and their response systems (upper layer of the network). Polar auxin transport (PAT) is shown as an example. Cross-talk between growth factors (brassinosteroids (BR), gibberellic acid (GA), auxin (AUX), cytokinins (CK) and ethylene(ET)) occurs through signal-transduction pathways, which form ‘hidden’ layers that integrate information by changing their activity in response to inputs.
Ultimately, the hidden layers control transcription in the output layer (bottom row). Nodes in the output layer represent genes with promoters that integrate weighted inputs from the previous layer. A single output node in the drawing may represent several genes, the encoded proteins of which control a developmental process.
By connecting this network to external signal such as light, nutrients and signals from the plant immune system, the plant can respond very specifically to the external world.
Feedback between different information-processing nodes is indicated by red lines.
Source: Wageningen University & Research