1. Fine-Scale Recombination Maps of Fungal Plant Pathogens Reveal Dynamic Recombination Landscapes and Intragenic Hotspots
- Author
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Eva H. Stukenbrock, Julien Y. Dutheil, Max Planck Institute for Evolutionary Biology, Max-Planck-Gesellschaft, Christian-Albrechts University of Kiel, Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS)
- Subjects
0106 biological sciences ,0301 basic medicine ,Recombination hotspot ,01 natural sciences ,Genome ,Linkage Disequilibrium ,Nucleotide diversity ,Population genomics ,MESH: Plant Diseases ,Zymoseptoria ,Crossing Over, Genetic ,Population and Evolutionary Genetics ,MESH: Evolution, Molecular ,Genetics ,Recombination, Genetic ,recombination analyses ,Base Composition ,MESH: Polymorphism, Single Nucleotide ,MESH: Genomics ,[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE] ,food and beverages ,Chromosome Mapping ,Genomics ,MESH: Chromosomes, Fungal ,MESH: Linkage Disequilibrium ,MESH: Genome, Fungal ,recombination hotspots ,MESH: Recombination, Genetic ,MESH: Centromere ,Chromosomes, Fungal ,Genome, Fungal ,Recombination ,effectors ,Genome evolution ,Centromere ,fungal plant pathogens ,MESH: Ascomycota ,Biology ,Investigations ,genome evolution ,Polymorphism, Single Nucleotide ,Evolution, Molecular ,03 medical and health sciences ,MESH: Base Composition ,Ascomycota ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,MESH: Crossing Over, Genetic ,Plant Diseases ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,030104 developmental biology ,Homologous recombination ,MESH: Chromosome Mapping ,010606 plant biology & botany - Abstract
Meiotic recombination is an important driver of evolution. Variability in the intensity of recombination across chromosomes can affect sequence composition, nucleotide variation, and rates of adaptation. In many organisms, recombination events are concentrated within short segments termed recombination hotspots. The variation in recombination rate and positions of recombination hotspot can be studied using population genomics data and statistical methods. In this study, we conducted population genomics analyses to address the evolution of recombination in two closely related fungal plant pathogens: the prominent wheat pathogen Zymoseptoria tritici and a sister species infecting wild grasses Z. ardabiliae. We specifically addressed whether recombination landscapes, including hotspot positions, are conserved in the two recently diverged species and if recombination contributes to rapid evolution of pathogenicity traits. We conducted a detailed simulation analysis to assess the performance of methods of recombination rate estimation based on patterns of linkage disequilibrium, in particular in the context of high nucleotide diversity. Our analyses reveal overall high recombination rates, a lack of suppressed recombination in centromeres, and significantly lower recombination rates on chromosomes that are known to be accessory. The comparison of the recombination landscapes of the two species reveals a strong correlation of recombination rate at the megabase scale, but little correlation at smaller scales. The recombination landscapes in both pathogen species are dominated by frequent recombination hotspots across the genome including coding regions, suggesting a strong impact of recombination on gene evolution. A significant but small fraction of these hotspots colocalize between the two species, suggesting that hotspot dynamics contribute to the overall pattern of fast evolving recombination in these species.
- Published
- 2017
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