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David R. Soll

Researcher at Developmental Studies Hybridoma Bank

Publications -  352
Citations -  23286

David R. Soll is an academic researcher from Developmental Studies Hybridoma Bank. The author has contributed to research in topics: Candida albicans & Dictyostelium discoideum. The author has an hindex of 86, co-authored 352 publications receiving 22547 citations. Previous affiliations of David R. Soll include University of Iowa.

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Evolution of pathogenicity and sexual reproduction in eight Candida genomes.

TL;DR: There are significant expansions of cell wall, secreted and transporter gene families in pathogenic species, suggesting adaptations associated with virulence in Candida albicans species.
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"White-opaque transition": a second high-frequency switching system in Candida albicans.

TL;DR: A second high-frequency switching system was identified in selected pathogenic strains in the dimorphic yeast Candida albicans, referred to as the white-opaque transition as mentioned in this paper.
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High-frequency switching of colony morphology in Candida albicans

TL;DR: The pathogenic yeast Candida albicans switches heritably and at high frequency between at least seven general phenotypes identified by colony morphology on agar, and the genetic basis of this newly discovered process and its possible role in Candida pathogenesis are considered.
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High-frequency switching in Candida albicans.

TL;DR: The most dramatic switching system so far identified is the "white-opaque transition," which dramatizes the extraordinary effects switching can have on the budding cell phenotype, including the synthesis of opaque- specific antigens, the expression of white-specific and opaque-specific genes, and the genesis of unique cell wall structures.
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The Ins and Outs of DNA Fingerprinting the Infectious Fungi

TL;DR: An awareness is generated of the need to verify the efficacy of each DNA fingerprinting method for the level of genetic relatedness necessary to answer the epidemiological question posed, to use quantitative methods to analyze DNA fingerprint data, and to use computer-assisted DNA fingerprint analysis systems to analyze data.