Home • Chaetomium sp. MPI-CAGE-AT-0009 v1.0
Chaetomium megalocarpum MPI-CAGE-AT-0009 growing in the lab.
Chaetomium megalocarpum MPI-CAGE-AT-0009 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.

Chaetomium (Ascomycota, Sordariomycetes, Sordariales) is a genus of common soil fungi that comprises up to 100 species. Species belonging to this genus have a worldwide distribution and are commonly found in soil and on decaying plant materials. Chaetomium are also found indoors on a variety of substrates containing cellulose, including document archives, wallpaper, textiles and construction materials. The sequenced Chaetomium megalocarpum MPI-CAGE-AT-0009 isolate 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Researchers who wish to publish analyses using data from unpublished CSP genomes are respectfully required to contact the PI and JGI to avoid potential conflicts on data use and coordinate other publications with the CSP master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).

Genome Reference(s)