Browse Articles

Article|27 Mar 2026|OPEN
Phylogeny-driven pangenome analysis uncovers the genomic landscape of domesticated and wild Armeniaca species
Ismael Blanchard1 , Quynh Trang Bui1 , Alexis Mergez2 , Sukanya Denni3,4 , Amandine Cornille5,6 , Isabelle Dufau7 , William Marande7 , Alexis Groppi8 , Stéphane Decroocq1 , Johann Confais9 and Ludovic Duvaux3 , Véronique Decroocq1 , , Benjamin Linard,2 ,
1Université de Bordeaux, INRAE, UMR 1332 BFP, Département Biologie et Amélioration des Plantes (BAP), 71 Avenue Edouard Bourlaux, 33882 Villenave d’Ornon, France
2Université de Toulouse, INRAE, MIAT, UR 875, Département Mathématiques et Numérique (MathNum), Centre Occitanie-Toulouse, 24 Chemin de Borde Rouge, 31320 Auzeville-Tolosane, France
3Université de Bordeaux, INRAE, BIOGECO, UMR 1202, Département Biodiversité Gènes et Communautés (BIOGECO), 69 Route d’Arcachon, F-33610 Cestas, France
4Université de Rouen Normandie, UFR Sciences et Techniques, 3 Av. Pasteur, 76000 Rouen, France
5Université Paris Saclay, INRAE, CNRS, AgroParisTech, GQE-IDEEV, 91190 Gif-sur-Yvette, France
6New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
7Université de Toulouse, INRAE, Centre National de Ressources Génomiques Végétales-CNRGV, Département Biologie et Amélioration des Plantes (BAP), Centre Occitanie-Toulouse, 24 Chemin de Borde Rouge, 31320 Auzeville-Tolosane, France
8Université de Bordeaux, Centre de Bioinformatique de Bordeaux (CBiB), 33076 Bordeaux, France
9Université Paris-Saclay, INRAE, URGI, US 1164, Departement Biologie et Amélioration des Plantes (BAP), BioinfOmics, 78026 Versailles, France
*Corresponding author. E-mail: veronique.decroocq@inrae.fr,benjamin.linard@inrae.fr

Horticulture Research 13,
Article number: uhag104 (2026)
doi: https://doi.org/10.1093/hr/uhag104
Views: 62

Received: 29 Jul 2025
Accepted: 12 Mar 2026
Published online: 27 Mar 2026

Abstract

Long-read sequencing and pangenomics are revolutionizing crop research by providing more complete genome information and revealing crucial structural variations (SVs) linked to important agricultural traits. Building on recent advances in intraspecific pangenome construction, this study addresses the challenge of creating broader, cross-taxon pangenomes, using the Armeniaca taxonomic section as a model. Leveraging a diverse panel of genome assemblies as well as completing it with seven more genome assemblies generated for this study, we constructed a pangenome graph and cataloged the associated genetic variation, identifying approximately 25 million single nucleotide polymorphisms and over 537 000 structural variants. We characterized the diversity of these variants and assessed the extent to which different taxa contribute to overall pangenome expansion. Additionally, we evaluated the performance of low-depth sample mapping to the graph-based reference, highlighting key technical limitations that may affect the quality of downstream analyses. We further identified specific subsets of SVs that exhibit associations with particular classes of transposable elements (TEs). We showed that TEs are a major driver of SV, particularly insertions and deletions, with distinct size and distribution patterns (peaking in the 200- to 400-bp indel bin). They are also nonrandomly positioned in the genome, showing a tight concentration near coding genes, which suggests a role in gene regulation. As a case study illustrating the potential functional relevance of graph-derived SVs, we examined the genomic configuration of the Dormancy-Associated MADS box locus within the Armeniaca pangenome. These findings provide a framework to investigate adaptation in perennial fruit trees of the Armeniaca section.