Raissig2

A hand-held porometer for high-throughput phenotyping of plant-atmosphere gas exchange

A hand-held porometer for high-throughput phenotyping of plant-atmosphere gas exchange in grasses

Land plants must balance water vapour loss through leaves with efficient carbon dioxide (CO2) uptake for photosynthesis. Specialised “breathing pores” on leaves called stomata can open and close to minimise water loss and maximise CO2 uptake. Thus, plants with efficient and fast stomatal pores are likely more resilient to the upcoming, climate-change-induced drought and heat periods.

The ”Stomatal Biology” group at the Institute for Plant Sciences is interested in how different stomatal morphologies affect gas exchange and how we can bioengineer stomatal form to prepare plants for the upcoming climatic challenges. We primarily work with grasses, which form morphologically innovative stomata with very rapid opening and closing dynamics. The rapid stomata of grasses contribute to the high water-use efficiency of grasses and their evolutionary success. Nowadays, grasses dominate many natural and agricultural ecosystems and our most important food crops like maize, rice and wheat are all grasses.

Gas exchange measurements are either very time-consuming and laborious or rather inaccurate. With the help of the UniBern Forschungsstiftung, we were able to acquire the hand-help porometer LI-600N, which allows for rapid and highly accurate measurements of steady-state gas exchange, while simultaneously assessing photosynthetic capacity. Therefore, the LI-600N will enable us to perform high-throughput screens of large populations of different grasses or grass genotypes. This will identify species that show a high photosynthetic efficiency, which is relevant for yield, yet low stomatal conductance, which is relevant for water-stress resilience.

Prof. Dr. Michael T. Raissig
Institute of Plant Sciences (IPS)

https://raissiglab.org/
https://www.ips.unibe.ch/

Raissig1
Figure 1: The measuring head of the porometer LI-600N for narrow leaves (left) and LI-600 for broad leaves (right).
Figure 2. The LI-600N in action measuring steady-state stomatal conductance and photosynthetic efficiency (with the red-light pulse) of the wild grass Brachypodium distachyon.
Leidel1

Using big data for the analysis of cellular translational control

Using big data for the analysis of cellular translational control

Protein synthesis is essential for any living organism. However, how the dynamics of mRNA translation affect the formation of functional proteins is poorly understood. To gain new insights into the relationship between translation dynamics and protein folding, we analyze mutants that show codon-specific translation defects.

We analyze these mutants in detail using a variety of omics techniques such as ribosome profiling or pulse-chase proteomics. As all these methods generate large amounts of data, it is essential to be able to store and handle such large datasets. With the funding we received from the UniBern Forschungsstiftung, we purchased an extension to our redundant NAS storage system and a new analysis server. We have already used it to characterize key enzymes in translation dynamics (Wu et al., bioRxiv 2024; Lin et al., Mol Cell 2024).

 

The next goal is to develop machine learning strategies to analyze and integrate these datasets. However, the extension of our NAS system, combined with the purchase of a new analysis server, has already led to exciting new discoveries and will continue to do so in the future.

Prof. Dr. Sebastian A. LEIDEL

Department of Chemistry, Biochemistry and Pharmaceutical Sciences

Links:

– Wu et al., BioRxiv 2024: DOI: 10.1101/2024.02.27.582385

www.biorxiv.org/content/10.1101/2024.02.27.582385v2

– Lin et al., Molecular Cell 2024: DOI: 10.1016/j.molcel.2024.06.013

https://doi.org/10.1016/j.molcel.2024.06.013