Geraldine Butler

The paper examines centromere structure and location across nine yeast species, finding conserved chromosomal positions but diverse structures, suggesting in situ structural changes.

The paper uses machine learning to identify valeric acid as a bacterial metabolite that inhibits Candida parapsilosis growth through intracellular acidification, reducing fungal colonization in mice.

The paper defines the pangenome of 372 Candida parapsilosis isolates, revealing low genetic diversity and identifying gene content variations associated with nitrogen metabolism.

The paper identifies copy number variations in fluconazole resistance genes in Candida parapsilosis isolates using whole-genome sequencing and GWAS.

This study identifies that resistance to miltefosine in Candida parapsilosis arises from RTA3 gene amplification or flippase inactivation, altering plasma membrane lipid asymmetry.

The paper identifies a new C. metapsilosis isolate resulting from a separate hybridization event, showing distinct genomic features compared to previously known isolates.

This study uses whole genome sequencing and phenotyping to analyze 77 C. tropicalis isolates, identifying hybrid lineages and a genomic variant affecting nitrogen utilization.

The paper investigates how spatial inter-centromeric interactions facilitated the emergence of new centromeres in Candida species by analyzing genome structure and evolutionary transitions.

The paper reports polymorphic centromere locations in Candida parapsilosis, showing natural movement between sites without significant DNA sequence changes.

This paper develops CRISPR-Cas9 gene editing systems for multiple Candida species using plasmids, enabling markerless editing and molecular barcode introduction.

The paper introduces Coverage-versus-Length plots to assess de novo yeast genome assemblies, identifying contaminants and atypical scaffolds through coverage and length analysis.