Dataset supporting Figure 6: Power of y1000+

Organisms exhibit extensive variation in ecological niche breadth, from very narrow (specialists) to very broad (generalists). Paradigms proposed to explain this variation either invoke trade-offs between performance efficiency and breadth or underlying intrinsic or extrinsic factors. We assembled genomic (1,154 yeast strains from 1,090 species), metabolic (quantitative measures of growth of 843 species in 24 conditions), and ecological (environmental ontology of 1,088 species) data from nearly all known species of the ancient fungal subphylum Saccharomycotina to examine niche breadth evolution. We found large interspecific differences in carbon breadth stem from intrinsic differences in genes encoding specific metabolic pathways but no evidence of trade-offs and a limited role of extrinsic ecological factors. These comprehensive data argue that intrinsic factors driving microbial niche breadth variation.

This item includes raw and underlying data associated with Figure 5 in the manuscript. 

These items were used to assess differences in pathogenicity between generalist and specialist yeasts. 

Each item (when appropriate) includes a README.txt file that includes specific information about the analysis, file structure, and folder structure. 

•  y1000p_growth_at_37.xlsx - Excel file that categorizes each of the species as being able to grow at 37C or not. Column names are: assembly_fullID_updated, at_37_C, and Temp_Source. 

         - assembly_fullID_updated - the assemblyID of each species analyzed

         - at_37_C - growth at 37 including Y (yes), N (no), W (weak), V (variable), S (slow)

         - Temp_Source - the resource that was used to identify growth or no growth including the Yeast Book     (Kurtzman CP, Fell JW, Boekhout T, editors. The yeasts: a taxonomic study. Elsevier; 2011 May 9.) and the CBS database (https://wi.knaw.nl/fungal_table)

•  y1000p_HSP_seqs.zip - HSP annotation information used in Figure 6