Identification of the Trichome Patterning Core Network Using Data from Weak ttg1 Alleles to Constrain the Model Space
Summary: The regular distribution of trichomes on leaves in Arabidopsis is a well-understood model system for two-dimensional pattern formation. It involves more than 10 genes and is governed by two patterning principles, the activator-inhibitor (AI) and the activator-depletion (AD) mechanisms, thou...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-12-01
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| Series: | Cell Reports |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124720314868 |
| _version_ | 1818605812208107520 |
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| author | Rachappa Balkunde Anna Deneer Hanna Bechtel Bipei Zhang Stefanie Herberth Martina Pesch Benjamin Jaegle Christian Fleck Martin Hülskamp |
| author_facet | Rachappa Balkunde Anna Deneer Hanna Bechtel Bipei Zhang Stefanie Herberth Martina Pesch Benjamin Jaegle Christian Fleck Martin Hülskamp |
| author_sort | Rachappa Balkunde |
| collection | DOAJ |
| description | Summary: The regular distribution of trichomes on leaves in Arabidopsis is a well-understood model system for two-dimensional pattern formation. It involves more than 10 genes and is governed by two patterning principles, the activator-inhibitor (AI) and the activator-depletion (AD) mechanisms, though their relative contributions are unknown. The complexity of gene interactions, protein interactions, and intra- and intercellular mobility of proteins makes it very challenging to understand which aspects are relevant for pattern formation. In this study, we use global mathematical methods combined with a constraining of data to identify the structure of the underlying network. To constrain the model, we perform a genetic, cell biological, and biochemical study of weak ttg1 alleles. We find that the core of trichome patterning is a combination of AI and AD mechanisms differentiating between two pathways activating the long-range inhibitor CPC and the short-range inhibitor TRY. |
| first_indexed | 2024-12-16T14:00:54Z |
| format | Article |
| id | doaj.art-7f1907bae1914688b3ccf33669ecddbf |
| institution | Directory Open Access Journal |
| issn | 2211-1247 |
| language | English |
| last_indexed | 2024-12-16T14:00:54Z |
| publishDate | 2020-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cell Reports |
| spelling | doaj.art-7f1907bae1914688b3ccf33669ecddbf2022-12-21T22:29:05ZengElsevierCell Reports2211-12472020-12-013311108497Identification of the Trichome Patterning Core Network Using Data from Weak ttg1 Alleles to Constrain the Model SpaceRachappa Balkunde0Anna Deneer1Hanna Bechtel2Bipei Zhang3Stefanie Herberth4Martina Pesch5Benjamin Jaegle6Christian Fleck7Martin Hülskamp8Botanical Institute, Biocenter, Cologne University, 50674 Cologne, GermanyLab for Systems and Synthetic Biology and Biometrics, Department of Mathematical and Statistical Methods, Wageningen University, 6700 HB, Wageningen, The NetherlandsBotanical Institute, Biocenter, Cologne University, 50674 Cologne, GermanyBotanical Institute, Biocenter, Cologne University, 50674 Cologne, GermanyBotanical Institute, Biocenter, Cologne University, 50674 Cologne, GermanyBotanical Institute, Biocenter, Cologne University, 50674 Cologne, GermanyBotanical Institute, Biocenter, Cologne University, 50674 Cologne, GermanyLab for Systems and Synthetic Biology and Biometrics, Department of Mathematical and Statistical Methods, Wageningen University, 6700 HB, Wageningen, The Netherlands; Corresponding authorBotanical Institute, Biocenter, Cologne University, 50674 Cologne, Germany; Corresponding authorSummary: The regular distribution of trichomes on leaves in Arabidopsis is a well-understood model system for two-dimensional pattern formation. It involves more than 10 genes and is governed by two patterning principles, the activator-inhibitor (AI) and the activator-depletion (AD) mechanisms, though their relative contributions are unknown. The complexity of gene interactions, protein interactions, and intra- and intercellular mobility of proteins makes it very challenging to understand which aspects are relevant for pattern formation. In this study, we use global mathematical methods combined with a constraining of data to identify the structure of the underlying network. To constrain the model, we perform a genetic, cell biological, and biochemical study of weak ttg1 alleles. We find that the core of trichome patterning is a combination of AI and AD mechanisms differentiating between two pathways activating the long-range inhibitor CPC and the short-range inhibitor TRY.http://www.sciencedirect.com/science/article/pii/S2211124720314868mathematical modellingtrichomesgene regulatory networkArabidopsis thalianapatterning |
| spellingShingle | Rachappa Balkunde Anna Deneer Hanna Bechtel Bipei Zhang Stefanie Herberth Martina Pesch Benjamin Jaegle Christian Fleck Martin Hülskamp Identification of the Trichome Patterning Core Network Using Data from Weak ttg1 Alleles to Constrain the Model Space Cell Reports mathematical modelling trichomes gene regulatory network Arabidopsis thaliana patterning |
| title | Identification of the Trichome Patterning Core Network Using Data from Weak ttg1 Alleles to Constrain the Model Space |
| title_full | Identification of the Trichome Patterning Core Network Using Data from Weak ttg1 Alleles to Constrain the Model Space |
| title_fullStr | Identification of the Trichome Patterning Core Network Using Data from Weak ttg1 Alleles to Constrain the Model Space |
| title_full_unstemmed | Identification of the Trichome Patterning Core Network Using Data from Weak ttg1 Alleles to Constrain the Model Space |
| title_short | Identification of the Trichome Patterning Core Network Using Data from Weak ttg1 Alleles to Constrain the Model Space |
| title_sort | identification of the trichome patterning core network using data from weak ttg1 alleles to constrain the model space |
| topic | mathematical modelling trichomes gene regulatory network Arabidopsis thaliana patterning |
| url | http://www.sciencedirect.com/science/article/pii/S2211124720314868 |
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