ReviewCold Spring Harbor perspectives in biology2022
Computational Models of Auxin-Driven Patterning in Shoots.
Review in Cold Spring Harbor perspectives in biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- Reticulate leaf venation in Pilea peperomioides is a Voronoi diagram.Nature communications · 2026Article
- A BRC1-modulated switch in auxin efflux accounts for the competition between Arabidopsis axillary buds.PLoS biology · 2025Article
- The role of auxin transport through plasmodesmata in leaf vein canalization and patterning.Frontiers in plant science · 2025Article
- Regulation of tissue growth in plants - A mathematical modeling study on shade avoidance response inFrontiers in plant science · 2024Article
- Scaling relations for auxin waves.Journal of mathematical biology · 2022Article
- Leaf vein patterning is regulated by the aperture of plasmodesmata intercellular channels.PLoS biology · 2022Article
- Chemical inhibition of the auxin inactivation pathway uncovers the roles of metabolic turnover in auxin homeostasis.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Fourteen Stations of Auxin.Cold Spring Harbor perspectives in biology · 2022Review
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Auxin regulates many aspects of plant development and behavior, including the initiation of new outgrowth, patterning of vascular systems, control of branching, and responses to the environment. Computational models have complemented experimental studies of these processes. We review these models from two perspectives. First, we consider cellular and tissue-level models of interaction between auxin and its transporters in shoots. These models form a coherent body of results exploring different hypotheses pertinent to the patterning of new outgrowth and vascular strands. Second, we consider models operating at the level of plant organs and entire plants. We highlight techniques used to reduce the complexity of these models, which provide a path to capturing the essence of studied phenomena while running simulations efficiently.
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