Mark G. M. Aarts

This study performs multi-environment GWAS on photosynthetic light use efficiency in Arabidopsis thaliana, identifying robust and conditional quantitative trait loci.

The Lettuce Expression Browser provides a high-resolution gene expression atlas for cultivated and wild lettuce, enabling exploration of gene activity across development and stress conditions.

This study identifies genetic changes in Noccaea caerulescens that correlate with nickel hyperaccumulation, showing that NcIRT1 mutations can cause loss of the trait.

This study examines how four tomato genotypes respond to irradiance fluctuations and cold stress, showing variation in photosynthetic efficiency and recovery.

The paper identifies organellar genetic variation in Arabidopsis thaliana and shows its impact on photosynthesis through cybrid analysis and high-throughput phenotyping.

This paper presents an improved genome assembly of Hirschfeldia incana, revealing insights into chromosomal evolution, phylogenomics, and genes related to high photosynthesis traits.

This study identifies allelic variants in Arabidopsis thaliana that confer adaptation to mild environmental clines in the Netherlands.

The paper compares genetic variation across different geographic scales in Arabidopsis thaliana, finding that local populations contain a significant proportion of continental variation and a logarithmic relationship between genetic and geographic distance.

The paper compares transcriptomic responses to high light in Hirschfeldia incana and three Brassicaceae species to identify differences in photosynthetic pathways.

This study identifies a quantitative trait locus for photosystem II efficiency in Arabidopsis caused by functional copy number variation in SQE-like genes.

The paper presents a reference genome assembly of Hirschfeldia incana, showing its high photosynthetic efficiency compared to related Brassicaceae species and identifying genomic features potentially contributing to this trait.

This study uses cybrids to show that plasmotype variation affects plant phenotypes through additive and epistatic interactions, with epistasis explaining more variance than additivity.