M. Groenewald

The paper shows that the fungal gene ENB1, acquired from a bacterial operon, enables iron uptake in W/S clade yeasts and evolved through horizontal transfer and gene loss.

This study identifies convergent evolution in cacti-associated yeasts using genomic and phenotypic data, finding thermotolerance and horizontal gene transfer as key adaptive traits.

This study uses machine learning to model global yeast species distributions and finds they defy traditional macroecological patterns.

This study uses machine learning to analyze yeast genomes and growth data to uncover how diet influences the evolution of galactose metabolism.

The paper analyzes genomic, metabolic, and ecological data from nearly all Saccharomycotina yeast species to show that intrinsic genetic factors, not trade-offs or extrinsic factors, drive variation in niche breadth.

The paper describes a new yeast species, Candida khanbhai, within the Candida haemulonii complex and corrects the invalid descriptions of several related species.

The paper constructs a genome-scale fungal phylogeny using 1,644 species and multiple data matrices, finding robust relationships and identifying taxonomic discrepancies.

This study constructs a genome-scale phylogeny of Ascomycota fungi, revealing contrasting modes of genome evolution across subphyla.