Models such as arabidopsis (Arabidopsis thaliana) have underpinned genomic and physiological research in plant science. Advances in genome sequencing, pangenomics, and genome editing have prompted cla...

Models such as arabidopsis (Arabidopsis thaliana) have underpinned genomic and physiological research in plant science. Advances in genome sequencing, pangenomics, and genome editing have prompted cla...

Models such as arabidopsis (Arabidopsis thaliana) have underpinned genomic and physiological research in plant science. Advances in genome sequencing, pangenomics, and genome editing have prompted claims of a ‘post-model’ era, with model–crops and crops such as rice and bread wheat combining agricultural relevance with experimental tractability. We argue that the ‘simplicity-to-complexity’ approach remains valid, although model systems have evolved. Arabidopsis remains indispensable for interpreting multi-omics data, testing developmental hypotheses, and generating mechanistic insights difficult to obtain in crops. Linking these strengths to model–crops adds translational value by bridging discovery and breeding, while niche models such as Brachypodium distachyon and legumes address grass cell wall biology and nitrogen fixation. Future progress depends on diverse species with complementary strengths across fundamental and applied plant biology.

Croll lab at University of Neuchatel. The lab of Daniel Croll wants to understand how pathogens evolve to cause disease. For this, we mainly focus on major crop pathogens to unravel mechanisms of rapi...

Incipient reproductive isolation in the presence of gene flow has traditionally been attributed to a small number of major-effect loci under strong selection. Here, using the Heliconius erato adaptive...

The Swedish University of Agricultural Sciences (SLU) is offering a 24-month Postdoctoral Position in Plant Evolutionary Genomics and Pangenomics in Uppsala, Sweden. The Formas-funded project focuses on European ash conservation, developing a Swedish-focused ash pangenome and investigating disease resistance and local adaptation using population genomics, long-read sequencing, graph-based pangenomics, structural variant analysis, and GWAS. The application deadline is 31 August 2026.

Compactly representing a variation graph is a core problem in computational pangenomics that is usually attacked with techniques that have been originated on texts and adapted to graphs. In this paper we propose a new framework that takes a topology-centric perspective instead. A variation graph is…

SLU - Science and Education for Sustainable Life

Structural variants (SVs) are abundant in plant genomes and influence agronomic traits, yet their regulatory interpretation remains challenging. Here, we combine pangenome-wide profiling of DNA methyl...

Pangenomics is transforming the way genomics is done. By using assemblies of multiple complete genomes for the same species, it is possible to depart from a biased, reference-centric, point of view. Represented as graphs, these pangenomes open new paths for genome understanding and improvement of species of agricultural interest. However, transitioning to a graph-based approach is not straightforward, and many tools are still needed for this shift. While numerous papers present both methodological and applied approaches on pangenomics, and many reviews present advantages of these methods, very few resources outline what remains to be done. In this paper, we would like to list methods that are still required to fully exploit pangenomes, and favor the widespread adoption of this approach.

Pangenomics is transforming the way genomics is done. By using assemblies of multiple complete genomes for the same species, it is possible to depart from a biased, reference-centric, point of view. Represented as graphs, these pangenomes open new paths for genome understanding and improvement of species of agricultural interest. However, transitioning to a graph-based approach is not straightforward, and many tools are still needed for this shift. While numerous papers present both methodological and applied approaches on pangenomics, and many reviews present advantages of these methods, very few resources outline what remains to be done. In this paper, we would like to list methods that are still required to fully exploit pangenomes, and favor the widespread adoption of this approach.

Pangenomics is transforming the way genomics is done. By using assemblies of multiple complete genomes for the same species, it is possible to depart from a biased, reference-centric, point of view. Represented as graphs, these pangenomes open new paths for genome understanding and improvement of species of agricultural interest. However, transitioning to a graph-based approach is not straightforward, and many tools are still needed for this shift. While numerous papers present both methodological and applied approaches on pangenomics, and many reviews present advantages of these methods, very few resources outline what remains to be done. In this paper, we would like to list methods that are still required to fully exploit pangenomes, and favor the widespread adoption of this approach.