The Almond Expression Atlas: A comprehensive multi-tissue transcriptomic resource for almond gene expression
Background: Improving crop adaptation and enhancing agronomic and quality traits requires a deeper understanding of gene expression regulation, for which expression atlases are valuable tools. Almond ( Prunus dulcis (Mill.) D.A. Webb) is one of the most economically important tree nut crops worldwide. However, an integrated transcriptomic resource for this species is still lacking. Available data remain fragmented across independent studies, limiting their comparability and reuse. Results: Here, we present the first almond gene expression atlas: a comprehensive multi-tissue transcriptomic resource integrating publicly available RNA sequencing data. A total of 142 high-quality untreated and control samples from 17 independent projects were curated through a metadata standardization process and analyzed using a unified bioinformatics pipeline. Standardized expression profiles were generated for 25,225 annotated genes in the Prunus dulcis Texas v2.0 reference genome. The atlas integrates two complementary expression approaches: a median TPM approach capturing quantitative expression levels and a rank-based strategy implemented using the Bgee expression calling method, designed to improve comparability across heterogeneous datasets. This design enables the identification of tissue-specific candidate genes and the exploration of expression patterns across tissues and developmental stages. Its applicability is demonstrated through two use cases, highlighting its ability to identify biologically meaningful gene sets associated with bud dormancy transitions and to prioritize candidate reference genes for RT-qPCR normalization in almond. Conclusions: The Almond Expression Atlas v1.0 is publicly available through FruitDBase (fruitdbase.csic.es), providing an interactive platform for gene expression exploration and visualization. This resource supports functional genomics studies and facilitates candidate gene discovery in almond, while ensuring data traceability and promoting data reusability.
Authors
- Juan Antonio Botía (ORCID: https://orcid.org/0000-0002-6992-598X)
- Pedro Martínez-Gómez (ORCID: https://orcid.org/0000-0003-1054-8814)
- A. Tixier
- Eva M. Lopez-Fernandez (ORCID: https://orcid.org/0009-0006-7539-6398)
- MA Zwieniecki
Institutions
- Université Clermont Auvergne (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Centro de Edafología y Biología Aplicada del Segura (ES)
- Physique et Physiologie Intégratives de l'Arbre en Environnement Fluctuant (FR)
- Universidad de Murcia (ES)
- University of California, Davis (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-11-02
- DOI
- https://doi.org/10.64898/2026.10.30.763019
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- preprint
Funders
- Agencia Estatal de Investigación