Schwarz, I.; Neumann, M.; Vega, R.; Xu, X.; Cornaro, L.; Colombo, L.; Vernoux, T.; Xu, J.; Marquardt, S.; Kaufmann, K. From Single Cells to Flowers – Biological Complexity Driving Plant Reproductive Development. Preprints2021, 2021110203. https://doi.org/10.20944/preprints202111.0203.v1
Schwarz, I., Neumann, M., Vega, R., Xu, X., Cornaro, L., Colombo, L., Vernoux, T., Xu, J., Marquardt, S., & Kaufmann, K. (2021). From Single Cells to Flowers – Biological Complexity Driving Plant Reproductive Development. Preprints. https://doi.org/10.20944/preprints202111.0203.v1
Schwarz, I., Sebastian Marquardt and Kerstin Kaufmann. 2021 "From Single Cells to Flowers – Biological Complexity Driving Plant Reproductive Development" Preprints. https://doi.org/10.20944/preprints202111.0203.v1
The rise of data science in biology stimulates interdisciplinary collaborations to address fundamental questions. Here, we report the outcome of the first SINFONIA symposium focused on revealing the mechanisms governing plant reproductive development across biological scales. The intricate and dynamic target networks of known regulators of flower development remain poorly understood. To analyze development from the genome to the final floral organ morphology, high-resolution data that capture spatiotemporal regulatory activities are necessary and require advanced computational methods for analysis and modeling. Moreover, frameworks to share data, practices and approaches that facilitate the combination of varied expertise to advance the field are called for. Training young researchers in interdisciplinary approaches and science communication offers the opportunity to establish a collaborative mindset to shape future research.
flower development; epigenetics; RNA biology; Genomics; single cell biology
Biology and Life Sciences, Agricultural Science and Agronomy
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