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Genome-wide expression QTL mapping reveals the highly dynamic regulatory landscape of a major wheat pathogen

Auteur(s)
Abraham, Leen Nanchira 
Institut de biologie 
Croll, Daniel 
Institut de biologie 
Date de parution
2023-11-20T00:00:00Z
In
BMC biology
Vol.
21
No
1
Mots-clés
  • Expression quantitative trait mapping
  • GWAS
  • Plant pathogens
  • Population genetics
  • Zymoseptoria tritici
  • Expression quantitati...

  • GWAS

  • Plant pathogens

  • Population genetics

  • Zymoseptoria tritici

Résumé
In agricultural ecosystems, outbreaks of diseases are frequent and pose a significant threat to food security. A successful pathogen undergoes a complex and well-timed sequence of regulatory changes to avoid detection by the host immune system; hence, well-tuned gene regulation is essential for survival. However, the extent to which the regulatory polymorphisms in a pathogen population provide an adaptive advantage is poorly understood.
We used Zymoseptoria tritici, one of the most important pathogens of wheat, to generate a genome-wide map of regulatory polymorphism governing gene expression. We investigated genome-wide transcription levels of 146 strains grown under nutrient starvation and performed expression quantitative trait loci (eQTL) mapping. We identified cis-eQTLs for 65.3% of all genes and the majority of all eQTL loci are within 2kb upstream and downstream of the transcription start site (TSS). We also show that polymorphism in different gene elements contributes disproportionally to gene expression variation. Investigating regulatory polymorphism in gene categories, we found an enrichment of regulatory variants for genes predicted to be important for fungal pathogenesis but with comparatively low effect size, suggesting a separate layer of gene regulation involving epigenetics. We also show that previously reported trait-associated SNPs in pathogen populations are frequently cis-regulatory variants of neighboring genes with implications for the trait architecture.
Overall, our study provides extensive evidence that single populations segregate large-scale regulatory variation and are likely to fuel rapid adaptation to resistant hosts and environmental change.
Identifiants
https://libra.unine.ch/handle/123456789/33363
_
10.1186/s12915-023-01763-3
_
37981685
Type de publication
journal article
Dossier(s) à télécharger
 main article: s12915-023-01763-3.pdf (5.35 MB)
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