Anna Matuszyńska

The paper investigates KEA3's role in NPQ relaxation across tomato and Arabidopsis, finding species-specific molecular variation without consistent productivity effects.

The paper reports findings from a photosynthesis hackathon that identified key insights into genetic architecture using field photosynthesis data across four crop species.

This study shows chilling nights in Arabidopsis increase sucrose, glucose, and fructose without starch over-accumulation, suggesting a different carbon partitioning strategy than permanent cold.

This paper develops a mathematical framework to analyze microbial strategies in exoenzyme synthesis, showing how cooperation, privatization, and cheating affect population dynamics and coexistence.

GreenSloth provides a curated database and platform for mechanistic photosynthesis models, enabling model discovery, comparison, and reuse through an open-source framework.

This study identifies the sucrose metabolism pathways in Ustilago maydis, revealing alternative strategies for carbon acquisition during different growth stages.

This paper evaluates the OJIP fluorescence method for semi-quantitative estimation of PQ-redox in algae and cyanobacteria, showing its applicability to both dark- and light-acclimated samples.

The paper investigates how siderophore exploitation and spatial structure influence microbial community dynamics in iron competition.

MxlPy is a Python package that combines mechanistic modelling with machine learning to provide explainable, data-informed solutions for biological research.

This paper describes two computational biology summer schools in Kenya that used hackathons to train early-career researchers in interdisciplinary biological skills.

The paper updates modelbase, an open-source Python package for constructing and analysing dynamic models, enhancing its capabilities for model reuse, isotope labelling, and SBML compatibility.

The paper develops a merged theoretical model to analyze how energy and redox supply in photosynthesis matches carbon fixation demand, showing the necessity of a stand-by mode for efficient carbon fixation.

The paper introduces modelbase, a Python package for building and analyzing dynamic mathematical models of biological systems, with features for ODE assembly and isotope-specific modeling.