Leveraging deep sequencing data to move from predictive to mechanistic models of plastid gene expression (D01+)

• Subject Area: Bioinformatics and Theoretical Biology
• Term: from 2016 to 2020
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 270050988

Deep sequencing and other –omics approaches contribute significant data towards our understanding of how acclimation processes play out at different levels of gene regulation. To integrate these data, we will develop a hierarchical model for translation that accounts for different levels of gene expression across time and quantifies the contributions of each level. To better characterize the impact of acclimation at the RNA level, we will furthermore apply long-read single-molecule direct RNA sequencing (Oxford Nanopore) to gain insights on chloroplast RNA processing; RNA modifications; and translation dynamics.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 175: The Green Hub: Central Coordinator of Acclimation in Plants
• Applicant Institution: Ludwig-Maximilians-Universität München
• Project Head: Professor Dr.-Ing. Uwe Ohler