Author:
Aguilar-Pontes M.V.,Brandl J.,McDonnell E.,Strasser K.,Nguyen T.T.M.,Riley R.,Mondo S.,Salamov A.,Nybo J.L.,Vesth T.C.,Grigoriev I.V.,Andersen M.R.,Tsang A.,de Vries R.P.
Abstract
The fungal kingdom is too large to be discovered exclusively by classical genetics. The access to omics data opens a new opportunity to study the diversity within the fungal kingdom and how adaptation to new environments shapes fungal metabolism. Genomes are the foundation of modern
science but their quality is crucial when analysing omics data. In this study, we demonstrate how one gold-standard genome can improve functional prediction across closely related species to be able to identify key enzymes, reactions and pathways with the focus on primary carbon metabolism.
Based on this approach we identified alternative genes encoding various steps of the different sugar catabolic pathways, and as such provided leads for functional studies into this topic. We also revealed significant diversity with respect to genome content, although this did not always correlate
to the ability of the species to use the corresponding sugar as a carbon source.
Funder
SURF Cooperative Grant
Genome Canada
Génome Québec
Dutch Technology Foundation STW
Applied Science division of NWO;
Technology Program of the Dutch Ministry of Economic Affairs
Publisher
Westerdijk Fungal Biodiversity Institute
Subject
Agricultural and Biological Sciences (miscellaneous)