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Oxford University Press, Genome Biology and Evolution, 10(7), p. 2896-2912, 2015

DOI: 10.1093/gbe/evv187

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Deciphering Genome Content and Evolutionary Relationships of Isolates from the FungusMagnaporthe oryzaeAttacking Different Host Plants

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

BGPI : équipe 4 et 5 ; Deciphering the genetic bases of pathogen adaptation to its host is a key question in ecology and evolution. To understand how the fungus Magnaporthe oryzae adapts to different plants, we sequenced eight M. oryzae isolates differing in host specificity (rice, foxtail millet, wheat and goosegrass), and one Magnaporthe grisea isolate specific of crabgrass. Analysis of Magnaporthe genomes revealed small variation in genome sizes [39-43 Mb] and gene content [12,283-14,781 genes] between isolates. The whole set of Magnaporthe genes comprised 14,966 shared families, 63% of which included genes present in all the 9 M. oryzae genomes. The evolutionary relationships among Magnaporthe isolates were inferred using 6,878 single-copy orthologs. The resulting genealogy was mostly bifurcating among the different host-specific lineages, but reticulate inside the rice lineage. We detected traces of introgression from a non-rice genome in the rice reference 70-15 genome. Among M. oryzae isolates and host specific lineages, the genome composition in terms of frequencies of genes putatively involved in pathogenicity (effectors, secondary metabolism, cazome) was conserved. However, 529 shared families were found only in non-rice lineages, whereas the rice lineage possessed 86 specific families absent from the non-rice genomes. Our results confirmed that the host specificity of M. oryzae isolates was associated with a divergence between lineages without major gene flow and that, despite the strong conservation of gene families between lineages, adaptation to different hosts, especially to rice, was associated with the presence of a small number of specific gene families. All information was gathered in a public database (http://genome.jouy.inra.fr/gemo).