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bioRxiv · 10.64898/2026.05.08.723814

Unlocking Open-Access Genomic and Transcriptomic Data: The First Bioinformatic Exploitation of Tunisian Durum Wheat Landraces Chili and Mahmoudi, Pioneering Data-Driven Research in North Africa

Abstract

Durum wheat (Triticum turgidum subsp. durum) is a Mediterranean dietary staple threatened by accelerating climate change, yet the genomic basis of adaptation in North African landraces remains poorly characterised. We present the first integrated whole-genome sequencing (WGS) and RNA-seq study of two contrasting Tunisian landraces: humid-adapted Chili and arid-adapted Mahmoudi. From 27,777 high-confidence SNPs, permutation-based F[~]ST[~] outlier analysis (1,000 shuffles) identified 46 selection hotspots across six chromosomes, with a peak signal on chromosome 6B (F[~]ST[~] = 0.833; p = 0.013). Constitutive transcriptome profiling (38,159 expressed genes) revealed 406 expression-divergent observations (|log{square}FC|{square}>{square}1) between landraces. Physical co-localisation analysis confirmed that 99.5% of expression-divergent observations are independent of selection hotspots, implicating trans-regulatory rewiring as the dominant adaptive mechanism. Trans-regulated genes are significantly enriched for disease-resistance (NBS-LRR, RLK, PR; FDR = 1.4 x 10{square}{square}) and ubiquitin-proteasome components (FDR = 0.049). Mahmoudi constitutively upregulates ROS-scavenging and dehydrin networks ("store-and-protect"), while Chili elevates aquaporins and transcription factors ("acquire-and-distribute"). These findings identify six chromosomal breeding targets, establish chromosome 6B as a priority fine-mapping locus, and demonstrate that arid-zone adaptation is orchestrated primarily through trans-regulatory stress-network rewiring.

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BibTeXRIS

Gdoura-Ben Amor, M., MATHLOUTHI, N. E. H., BELGUITH, I., DEROUICH, R.. 2026-05-12. Unlocking Open-Access Genomic and Transcriptomic Data: The First Bioinformatic Exploitation of Tunisian Durum Wheat Landraces Chili and Mahmoudi, Pioneering Data-Driven Research in North Africa. https://doi.org/10.64898/2026.05.08.723814

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