@phdthesis{Boehm2020,
  author    = {B{\"o}hm, Lena},
  title     = {Dissecting Mechanisms of Host Colonization by C. albicans},
  doi       = {10.25972/OPUS-19230},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-192303},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {The human body is laden with trillions of microorganisms that belong to all three domains of life. Some species of this microbiota subsist as harmless commensals in healthy adults, but under certain circumstances, they can cause mucosal disease or even systemic, life-threatening infections. While the bacterial members of our microbiota are heavily studied today, much less attention is afforded to eukaryotic species that colonize different mucocutaneous surfaces of the human body. This dissertation focuses on identifying regulatory circuits that enable a prominent member of these eukaryotes, C. albicans, to, on the one hand, live on a specific mammalian mucosal surface as a harmless commensal and, on the other hand, proliferate as a pathogen. Since the ultimate source of many fatal Candida infections is the gastrointestinal (GI) tract of the infected individual, this organism is particularly suited to distinguishing traits essential for the gut colonization of commensal fungi and their ability to cause disease. Sequence-specific DNA-binding proteins that regulate transcription are important to most biological processes; I thus used these proteins as starting points to gain insights into 1) how a specific transcription regulator promotes virulence in C. albicans; 2) which traits C. albicans requires to inhabit the GI tract of a specific, well-defined mouse model as a harmless commensal; and 3) how three previously undescribed transcriptional regulators contribute to the commensal colonization of the digestive tract of this mouse model. Altogether, this work advances the knowledge concerning the biology of commensal fungi in the mammalian gut and genetic determinants of fungal commensalism, as well as pathogenicity.},
  subject      = {Candida albicans},
  language  = {en}
}
@article{WheelerBarquistKingsleyetal.2016,
  author    = {Wheeler, Nicole E. and Barquist, Lars and Kingsley, Robert A. and Gardner, Paul P.},
  title     = {A profile-based method for identifying functional divergence of orthologous genes in bacterial genomes},
  series = {Bioinformatics},
  volume    = {32},
  journal   = {Bioinformatics},
  number    = {23},
  doi       = {10.1093/bioinformatics/btw518},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-186502},
  pages     = {3566-3574},
  year      = {2016},
  abstract  = {Motivation: Next generation sequencing technologies have provided us with a wealth of information on genetic variation, but predi cting the functional significance of this variation is a difficult task. While many comparative genomics studies have focused on gene flux and large scale changes, relatively little attention has been paid to quantifying the effects of single nucleotide polymorphisms and indels on protein function, particularly in bacterial genomics. Results: We present a hidden Markov model based approach we call delta-bitscore (DBS) for identifying orthologous proteins that have diverged at the amino acid sequence level in a way that is likely to impact biological function. We benchmark this approach with several widely used datasets and apply it to a proof-of-concept study of orthologous proteomes in an investigation of host adaptation in Salmonella enterica. We highlight the value of the method in identifying functional divergence of genes, and suggest that this tool may be a better approach than the commonly used dN/dS metric for identifying functionally significant genetic changes occurring in recently diverged organisms.},
  language  = {en}
}