Repository logo
Research Data
Publications
Projects
Persons
Organizations
English
Français
Log In(current)
  1. Home
  2. Publications
  3. Article de recherche (journal article)
  4. Quantitative pathogenicity and host adaptation in a fungal plant pathogen revealed by whole-genome sequencing

Quantitative pathogenicity and host adaptation in a fungal plant pathogen revealed by whole-genome sequencing

Author(s)
Amezrou, Reda
Ducasse, Aurélie
Compain, Jérôme
Lapalu, Nicolas
Pitarch, Anais
Dupont, Laetitia
Confais, Johann
Goyeau, Henriette
Kema, Gert H J
Croll, Daniel  
Laboratoire de génétique évolutive  
Amselem, Joëlle
Sanchez-Vallet, Andrea
Marcel, Thierry C
Date issued
March 2, 2024
In
Nature communications
Vol
15
No
1
Abstract
Knowledge of genetic determinism and evolutionary dynamics mediating host-pathogen interactions is essential to manage fungal plant diseases. Studies on the genetic architecture of fungal pathogenicity often focus on large-effect effector genes triggering strong, qualitative resistance. It is not clear how this translates to predominately quantitative interactions. Here, we use the Zymoseptoria tritici-wheat model to elucidate the genetic architecture of quantitative pathogenicity and mechanisms mediating host adaptation. With a multi-host genome-wide association study, we identify 19 high-confidence candidate genes associated with quantitative pathogenicity. Analysis of genetic diversity reveals that sequence polymorphism is the main evolutionary process mediating differences in quantitative pathogenicity, a process that is likely facilitated by genetic recombination and transposable element dynamics. Finally, we use functional approaches to confirm the role of an effector-like gene and a methyltransferase in phenotypic variation. This study highlights the complex genetic architecture of quantitative pathogenicity, extensive diversifying selection and plausible mechanisms facilitating pathogen adaptation.
Publication type
journal article
Identifiers
https://libra.unine.ch/handle/20.500.14713/64983
DOI
10.1038/s41467-024-46191-1
-
38431601
File(s)
Loading...
Thumbnail Image
Download
Name

s41467-024-46191-1.pdf

Type

Main Article

Size

2.3 MB

Format

Adobe PDF

Université de Neuchâtel logo

Service information scientifique & bibliothèques

Rue Emile-Argand 11

2000 Neuchâtel

contact.libra@unine.ch

Service informatique et télématique

Rue Emile-Argand 11

Bâtiment B, rez-de-chaussée

Powered by DSpace-CRIS

libra v2.2.0

© 2026 Université de Neuchâtel

Portal overviewUser guideOpen Access strategyOpen Access directive Research at UniNE Open Access ORCIDWhat's new