In the “1KFG: Deep Sequencing of Ecologically-relevant Dikarya” project (CSP1974), we aim to sequence additional sampling of genomic diversity within keystone lineages of plant-interacting fungi and saprophytic fungi that are of special ecological importance for understanding terrestrial ecosystems.
The sequencing of Setophoma terrestris DSE6109 is part of a study aiming at sequencing the genomes of numerous phylogenetically diverse endophytic fungi 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.
Setophoma terrestris (syn. Pyrenochaeta terrestris) belongs to the family Phaeosphaeriaceae (Pleosporales, Dothideomycetes). Setophoma terrestris represents one of most common members of the dark septate endophytes (DSE) in various ecosystems especially in semiarid, arid environments from where the S. terrestris strain DSE6109 also originates. This species colonizes generally herbaceous and woody species of grasslands, however it is also a dominant root colonizer of important gramineous crops such as wheat and maize in agricultural fields. Based on the common occurrence and wide host spectrum of S. terrestris, they are hypothesized to play an important role in various ecosystems. Due to their potential positive effect on plant nutrient uptake, performance, survival and induced resistance of host plants, this DSE might help us gain insights into important mechanisms in these poorly understood plant-fungal symbioses.
Researchers who wish to publish analyses using data from unpublished CSP genomes are respectfully required to contact the PI (Dr. Francis Martin) and JGI to avoid potential conflicts on data use and coordinate other publications with the CSP master paper(s).
