Toward uncovering an operating system in plant organs. Davis, G. V., de Souza Moraes, T., Khanapurkar, S., Dromiack, H., Ahmad, Z., Bayer, E. M., Bhalerao, R. P., Walker, S. I., & Bassel, G. W. Trends in Plant Science, 29(7):742–753, July, 2024. ![Toward uncovering an operating system in plant organs [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Molecular motifs can explain information processing within single cells, while how assemblies of cells collectively achieve this remains less well understood. Plant fitness and survival depend upon robust and accurate decision-making in their decentralised multicellular organ systems. Mobile agents, including hormones, metabolites, and RNAs, have a central role in coordinating multicellular collective decision-making, yet mechanisms describing how cell–cell communication scales to organ-level transitions is poorly understood. Here, we explore how unified outputs may emerge in plant organs by distributed information processing across different scales and using different modalities. Mathematical and computational representations of these events are also explored toward understanding how these events take place and are leveraged to manipulate plant development in response to the environment.
@article{davis_toward_2024,
title = {Toward uncovering an operating system in plant organs},
volume = {29},
issn = {1360-1385},
url = {https://www.sciencedirect.com/science/article/pii/S1360138523003655},
doi = {10.1016/j.tplants.2023.11.006},
abstract = {Molecular motifs can explain information processing within single cells, while how assemblies of cells collectively achieve this remains less well understood. Plant fitness and survival depend upon robust and accurate decision-making in their decentralised multicellular organ systems. Mobile agents, including hormones, metabolites, and RNAs, have a central role in coordinating multicellular collective decision-making, yet mechanisms describing how cell–cell communication scales to organ-level transitions is poorly understood. Here, we explore how unified outputs may emerge in plant organs by distributed information processing across different scales and using different modalities. Mathematical and computational representations of these events are also explored toward understanding how these events take place and are leveraged to manipulate plant development in response to the environment.},
number = {7},
urldate = {2024-07-17},
journal = {Trends in Plant Science},
author = {Davis, Gwendolyn V. and de Souza Moraes, Tatiana and Khanapurkar, Swanand and Dromiack, Hannah and Ahmad, Zaki and Bayer, Emmanuelle M. and Bhalerao, Rishikesh P. and Walker, Sara I. and Bassel, George W.},
month = jul,
year = {2024},
keywords = {Cellular Automata, collective behaviour, decentralised information processing, decision-making, plant development},
pages = {742--753},
}
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