Arabidopsis research in 2030: Translating the computable plant
Plants are essential for human survival. Over the past three decades, work with the reference plant Arabidopsis thaliana has significantly advanced plant biology research. One key event was the sequencing of its genome 25 years ago, which fostered many subsequent research technologies and datasets....
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2025
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/21868 https://onlinelibrary.wiley.com/doi/10.1111/tpj.70047 https://doi.org/10.1111/tpj.70047 |
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| author | Brady, Siobhan Auge, Gabriela Ayalew, Mentewab Balasubramanian, Sureshkumar Hamann, Thorsten Inze, Dirk Saito, Kazuki Brychkova, Galina Berardini, Tanya Z. Friesner, Joanna Ho, Cheng-Hsun Hauser, Marie-Theres Kobayashi, Masatomo Lepiniec, Loic Mahonen, Ari Pekka Mutwil, Marek May, Sean Parry, Geraint Rigas, Stamatis Stepanova, Anna N. Williams, Mary Provart, Nicholas J. |
| author_browse | Auge, Gabriela Ayalew, Mentewab Balasubramanian, Sureshkumar Berardini, Tanya Z. Brady, Siobhan Brychkova, Galina Friesner, Joanna Hamann, Thorsten Hauser, Marie-Theres Ho, Cheng-Hsun Inze, Dirk Kobayashi, Masatomo Lepiniec, Loic Mahonen, Ari Pekka May, Sean Mutwil, Marek Parry, Geraint Provart, Nicholas J. Rigas, Stamatis Saito, Kazuki Stepanova, Anna N. Williams, Mary |
| author_facet | Brady, Siobhan Auge, Gabriela Ayalew, Mentewab Balasubramanian, Sureshkumar Hamann, Thorsten Inze, Dirk Saito, Kazuki Brychkova, Galina Berardini, Tanya Z. Friesner, Joanna Ho, Cheng-Hsun Hauser, Marie-Theres Kobayashi, Masatomo Lepiniec, Loic Mahonen, Ari Pekka Mutwil, Marek May, Sean Parry, Geraint Rigas, Stamatis Stepanova, Anna N. Williams, Mary Provart, Nicholas J. |
| author_sort | Brady, Siobhan |
| collection | INTA Digital |
| description | Plants are essential for human survival. Over the past three decades, work with the reference plant Arabidopsis thaliana has significantly advanced plant biology research. One key event was the sequencing of its genome 25 years ago, which fostered many subsequent research technologies and datasets. Arabidopsis has been instrumental in elucidating plant-specific aspects of biology, developing research tools, and translating findings to crop improvement. It not only serves as a model for understanding plant biology and but also biology in other fields, with discoveries in Arabidopsis also having led to applications in human health, including insights into immunity, protein degradation, and circadian rhythms. Arabidopsis research has also fostered the development of tools useful for the wider biological research community, such as optogenetic systems and auxin-based degrons. This 4th Multinational Arabidopsis Steering Committee Roadmap outlines future directions, with emphasis on computational approaches, research support, translation to crops, conference accessibility, coordinated research efforts, climate change mitigation, sustainable production, and fundamental research. Arabidopsis will remain a nexus for discovery, innovation, and application, driving advances in both plant and human biology to the year 2030, and beyond. |
| format | Artículo |
| id | INTA21868 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA218682025-04-01T14:36:57Z Arabidopsis research in 2030: Translating the computable plant Brady, Siobhan Auge, Gabriela Ayalew, Mentewab Balasubramanian, Sureshkumar Hamann, Thorsten Inze, Dirk Saito, Kazuki Brychkova, Galina Berardini, Tanya Z. Friesner, Joanna Ho, Cheng-Hsun Hauser, Marie-Theres Kobayashi, Masatomo Lepiniec, Loic Mahonen, Ari Pekka Mutwil, Marek May, Sean Parry, Geraint Rigas, Stamatis Stepanova, Anna N. Williams, Mary Provart, Nicholas J. Arabidopsis thaliana Genómica Red de Regulación Génica Inteligencia Artificial Planta Genomics Gene Regulatory Networks Artificial Intelligence Plants Plants are essential for human survival. Over the past three decades, work with the reference plant Arabidopsis thaliana has significantly advanced plant biology research. One key event was the sequencing of its genome 25 years ago, which fostered many subsequent research technologies and datasets. Arabidopsis has been instrumental in elucidating plant-specific aspects of biology, developing research tools, and translating findings to crop improvement. It not only serves as a model for understanding plant biology and but also biology in other fields, with discoveries in Arabidopsis also having led to applications in human health, including insights into immunity, protein degradation, and circadian rhythms. Arabidopsis research has also fostered the development of tools useful for the wider biological research community, such as optogenetic systems and auxin-based degrons. This 4th Multinational Arabidopsis Steering Committee Roadmap outlines future directions, with emphasis on computational approaches, research support, translation to crops, conference accessibility, coordinated research efforts, climate change mitigation, sustainable production, and fundamental research. Arabidopsis will remain a nexus for discovery, innovation, and application, driving advances in both plant and human biology to the year 2030, and beyond. Instituto de Biotecnología Fil: Brady, Siobhan. University of California Davis. Howard Hughes Medical Institute; Estados Unidos Fil: Auge, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular (IABIMO); Argentina Fil: Auge, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Instituto de Agrobiotecnología y Biología Molecular (IABIMO); Argentina Fil: Ayalew, Mentewab. Spelman College; Estados Unidos Fil: Balasubramanian, Sureshkumar. Monash University. School of Biological Sciences; Australia Fil: Hamann, Thorsten. Norwegian University of Science and Technology. Faculty of Natural Sciences. Department of Biology; Noruega Fil: Inze, Dirk. University of Gent Center for Plant Systems Biology; Bélgica Fil: Saito, Kazuki. RIKEN Center for Sustainable Resource Science; Japón Fil: Brychkova, Galina. University of Galway. Ryan Institute. School of Biological & Chemical Sciences; Irlanda Fil: Berardini, Tanya Z. Phoenix Bioinformatics. The Arabidopsis Information Resource; Estados Unidos Fil: Friesner, Joanna. North American Arabidopsis Steering Committee; Estados Unidos Fil: Ho, Cheng-Hsun. Academia Sinica. Agricultural Biotechnology Research Centre; Taiwan Fil: Hauser, Marie-Theres. BOKU University; Austria Fil: Kobayashi, Masatomo. RIKEN BioResource Research Centre; Japón Fil: Lepiniec, Loic. Institut National de Recherche pour l'agriculture, l'alimentation et l'environnement (INRAE). Institut Jean-Pierre Bourgin for Plant Sciences; Francia Fil: Lepiniec, Loic. Universite Paris-Saclay. Institut Jean-Pierre Bourgin for Plant Sciences; Francia Fil: Lepiniec, Loic. AgroParisTech. Institut Jean-Pierre Bourgin for Plant Sciences; Francia Fil: Mahonen, Ari Pekka. University of Helsinki. Faculty of Biological and Environmental Sciences; Finlandia Fil: Mutwil, Marek. Nanyang Technological University; Singapur Fil: May, Sean. University of Nottingham; Reino Unido Fil: Parry, Geraint. Association of Applied Biologists; Reino Unido Fil: Rigas, Stamatis. Agricultural University of Athens; Grecia Fil: Stepanova, Anna N. North Carolina State University. Genetics and Genomics Academy. Department of Plant and Microbial Biology; Estados Unidos Fil: Williams, Mary. American Society of Plant Biology; Estados Unidos Fil: Provart, Nicholas J. University of Toronto. Centre for the Analysis of Genome Evolution and Function. Department of Cell & Systems Biology; Canadá 2025-04-01T14:20:38Z 2025-04-01T14:20:38Z 2025-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/21868 https://onlinelibrary.wiley.com/doi/10.1111/tpj.70047 1365-313X https://doi.org/10.1111/tpj.70047 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Wiley The Plant Journal 121 (5) : e70047 (Marzo 2025) |
| spellingShingle | Arabidopsis thaliana Genómica Red de Regulación Génica Inteligencia Artificial Planta Genomics Gene Regulatory Networks Artificial Intelligence Plants Brady, Siobhan Auge, Gabriela Ayalew, Mentewab Balasubramanian, Sureshkumar Hamann, Thorsten Inze, Dirk Saito, Kazuki Brychkova, Galina Berardini, Tanya Z. Friesner, Joanna Ho, Cheng-Hsun Hauser, Marie-Theres Kobayashi, Masatomo Lepiniec, Loic Mahonen, Ari Pekka Mutwil, Marek May, Sean Parry, Geraint Rigas, Stamatis Stepanova, Anna N. Williams, Mary Provart, Nicholas J. Arabidopsis research in 2030: Translating the computable plant |
| title | Arabidopsis research in 2030: Translating the computable plant |
| title_full | Arabidopsis research in 2030: Translating the computable plant |
| title_fullStr | Arabidopsis research in 2030: Translating the computable plant |
| title_full_unstemmed | Arabidopsis research in 2030: Translating the computable plant |
| title_short | Arabidopsis research in 2030: Translating the computable plant |
| title_sort | arabidopsis research in 2030 translating the computable plant |
| topic | Arabidopsis thaliana Genómica Red de Regulación Génica Inteligencia Artificial Planta Genomics Gene Regulatory Networks Artificial Intelligence Plants |
| url | http://hdl.handle.net/20.500.12123/21868 https://onlinelibrary.wiley.com/doi/10.1111/tpj.70047 https://doi.org/10.1111/tpj.70047 |
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