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Towards modelling emergence in plant systems
Plants are complex systems made up of many interacting components, ranging from architectural elements such as branches and roots, to entities comprising cellular processes such as metabolic pathways and gene regulatory networks. The collective behaviour of these components, along with the plant’s r...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cambridge University Press
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345286/ https://www.ncbi.nlm.nih.gov/pubmed/37457895 http://dx.doi.org/10.1017/qpb.2023.6 |
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author | Tomkins, Melissa |
author_facet | Tomkins, Melissa |
author_sort | Tomkins, Melissa |
collection | PubMed |
description | Plants are complex systems made up of many interacting components, ranging from architectural elements such as branches and roots, to entities comprising cellular processes such as metabolic pathways and gene regulatory networks. The collective behaviour of these components, along with the plant’s response to the environment, give rise to the plant as a whole. Properties that result from these interactions and cannot be attributed to individual parts alone are called emergent properties, occurring at different time and spatial scales. Deepening our understanding of plant growth and development requires computational tools capable of handling a large number of interactions and a multiscale approach connecting properties across scales. There currently exist few methods able to integrate models across scales, or models capable of predicting new emergent plant properties. This perspective explores current approaches to modelling emergent behaviour in plants, with a focus on how current and future tools can handle multiscale plant systems. |
format | Online Article Text |
id | pubmed-10345286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-103452862023-07-15 Towards modelling emergence in plant systems Tomkins, Melissa Quant Plant Biol Perspective Plants are complex systems made up of many interacting components, ranging from architectural elements such as branches and roots, to entities comprising cellular processes such as metabolic pathways and gene regulatory networks. The collective behaviour of these components, along with the plant’s response to the environment, give rise to the plant as a whole. Properties that result from these interactions and cannot be attributed to individual parts alone are called emergent properties, occurring at different time and spatial scales. Deepening our understanding of plant growth and development requires computational tools capable of handling a large number of interactions and a multiscale approach connecting properties across scales. There currently exist few methods able to integrate models across scales, or models capable of predicting new emergent plant properties. This perspective explores current approaches to modelling emergent behaviour in plants, with a focus on how current and future tools can handle multiscale plant systems. Cambridge University Press 2023-07-10 /pmc/articles/PMC10345286/ /pubmed/37457895 http://dx.doi.org/10.1017/qpb.2023.6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Perspective Tomkins, Melissa Towards modelling emergence in plant systems |
title | Towards modelling emergence in plant systems |
title_full | Towards modelling emergence in plant systems |
title_fullStr | Towards modelling emergence in plant systems |
title_full_unstemmed | Towards modelling emergence in plant systems |
title_short | Towards modelling emergence in plant systems |
title_sort | towards modelling emergence in plant systems |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345286/ https://www.ncbi.nlm.nih.gov/pubmed/37457895 http://dx.doi.org/10.1017/qpb.2023.6 |
work_keys_str_mv | AT tomkinsmelissa towardsmodellingemergenceinplantsystems |