Home • Dactylonectria macrodidyma MPI-CAGE-AT-0147 v1.0
Dactylonectria macrodidyma MPI-CAGE-AT-0147 growing in the lab.
Dactylonectria macrodidyma MPI-CAGE-AT-0147 growing in the lab.
Image Credit: Stephane Hacquard

This genome was sequenced as part of the 1000 Fungal Genomes Project - Deep Sequencing of Ecologically-relevant Dikarya, and more specifically as part of the Endophyte Genome Sequencing project, which seeks to sequence members of diverse lineages of endophytic species found in Arabidopsis, Populus and other plants to examine the functional diversity of fungi with a shared evolutionary history.

The genus Dactylonectria (Ascomycota phylum, Sordariomycetes class, Hypocreales order) has been recently introduced based on multi-gene DNA data and morphological comparisons. Ten new combinations were introduced, several of which were previously classified as Ilyonectria. Dactylonectria macrodidyma (previously known as Ilyonectria macrodidyma) is a species that associate with black-foot disease, one of the most destructive grapevine trunk diseases in nurseries and young vineyards. Dactylonectria macrodidyma and other Dactylonectria spp. are common soil fungi, opportunistic plant root pathogens, or non-symptomatic root endophytes. Dactylonectria macrodidyma MPI-CAGE-AT-0147 has been isolated from healthy Arabidopsis thaliana plants grown in natural soil after surface sterilization of plant roots. The sequencing of this fungal isolate is part of a larger project aiming at sequencing the genomes of numerous phylogenetically diverse root-associated fungi from Arabidopsis, Populus, and other plant hosts for further comparative genome analysis. Unravelling the genomic signatures reflecting the adaptation of these microbes to the host cell environment represent a promising way to better understand how the endophytic lifestyle evolved in phylogenetically unrelated fungal species. Comparative genome analysis between different plant hosts, and between saprotrophic, mycorrhizal, and pathogenic fungi will provide new insights into the specific adaptations but also the conserved signatures associated with these different lifestyles.

Researchers who wish to publish analyses using data from unpublished CSP genomes are respectfully required to contact the PI and JGI to avoid potential conflicts on data use and coordinate other publications with the CSP master paper(s).