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Project properties |
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| Title | Working with Hirschfeldia incana and relatives |
| Group | Genetics, Laboratory of |
| Project type | thesis |
| Credits | to be discussed |
| Supervisor(s) | Sofia A. Bengoa Luoni |
| Examiner(s) | René Boesten |
| Contact info | sofia.bengoaluoni@gmail.com |
| Begin date | 2024/01/01 |
| End date | 2025/08/30 |
| Description | Recently Hirschfeldia incana was proposed as a model species for the exploration of high maximum CO2 assimilation rates (Garassino, 2022). Hirschfeldia incana exhibits exceptional C3 photosynthetic characteristics with a maximum photosynthetic capacity of 55 µmol m-2 s-1. We are interested in continuing the study of this species and its relatives (B. rapa, B. nigra, A. thaliana) from a physiological and molecular point of view. The subprojects in the context of this research line, include: physiological measurements, measure photosynthesis (Licor, NPEC facilities), RNAseq for gene expression, image analysis, and deep machine learning models for computer vision, microscopy, cloning and transforming plants. The student will be able to discuss and choose a particular subproject according to their learning objectives, interests, and the subproject availability at the time. |
| Used skills | Depending on the subproject: RNAseq analysis and lab methodology, Image analysis, Deep machine learning, Cloning and transforming plants, plant physiology related to photosynthesis, NPEC facilities, and Licor measurements. |
| Requirements | According to the subproject, to be discussed with the Supervisor |