Back to Search Start Over

Complex adaptive architecture underlies adaptation to quantitative host resistance in a fungal plant pathogen

Authors :
Véronique Roussel
Catherine Abadie
Sébastien Ravel
Luis Perez-Vicente
Jaime Aguayo
Jean Carlier
Thomas Dumartinet
Plant Health Institute of Montpellier (UMR PHIM)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Instituto de Investigaciones de Sanidad Vegetal (INISAV)
Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)
European Agricultural Fund for Rural Development, Grant/Award Number: 31409-Cabaré
Agropolis Fondation Grant/Award Number: 1504-004-ESpace
European Regional Development Fund
CIRAD/ANSES
Conseil Regional de Guadeloupe
ANR-10-LABX-0001,AGRO,Agricultural Sciences for sustainable Development(2010)
Source :
Molecular Ecology, Molecular Ecology, Wiley, In press, ⟨10.1111/mec.16297⟩
Publication Year :
2021

Abstract

International audience; Plant pathogens often adapt to plant genetic resistance so characterization of the architecture underlying such an adaptation is required to understand the adaptive potential of pathogen populations. Erosion of banana quantitative resistance to a major leaf disease caused by polygenic adaptation of the causal agent, the fungus Pseudocercospora fijiensis, was recently identified in the northern Caribbean region. Genome scan and quantitative genetics approaches were combined to investigate the adaptive architecture underlying this adaptation. Thirty-two genomic regions showing host selection footprints were identified by pool sequencing of isolates collected from seven plantation pairs of two cultivars with different levels of quantitative resistance. Individual sequencing and phenotyping of isolates from one pair revealed significant and variable levels of correlation between haplotypes in 17 of these regions with a quantitative trait of pathogenicity (the diseased leaf area). The multilocus pattern of haplotypes detected in the 17 regions was found to be highly variable across all the population pairs studied. These results suggest complex adaptive architecture underlying plant pathogen adaptation to quantitative resistance with a polygenic basis, redundancy, and a low level of parallel evolution between pathogen populations. Candidate genes involved in quantitative pathogenicity and host adaptation of P. fijiensis were identified in genomic regions by combining annotation analysis with available biological data.

Details

ISSN :
1365294X and 09621083
Volume :
31
Issue :
4
Database :
OpenAIRE
Journal :
Molecular ecologyREFERENCES
Accession number :
edsair.doi.dedup.....d52f3fed6ea6ccaeb1a64248db0d3b6b
Full Text :
https://doi.org/10.1111/mec.16297⟩