• Publications
  • Influence
Distribution and Environmental Persistence of the Causative Agent of White-Nose Syndrome, Geomyces destructans, in Bat Hibernacula of the Eastern United States
TLDR
Analysis of sediment samples collected from 55 bat hibernacula both within and outside the known range of WNS indicates that the distribution of G. destructans is correlated with disease in hibernating bats and supports the hypothesis that the fungus is likely an exotic species in North America.
A phylogenetic overview of the antrodia clade (Basidiomycota, Polyporales)
TLDR
A phylogenetic overview of the five main groups recovered: the fibroporia, laetiporus, postia, laricifomes and core antrodia groups is presented, able to identify a number of well supported clades within the main groups.
Intragenomic variation in the ITS rDNA region obscures phylogenetic relationships and inflates estimates of operational taxonomic units in genus Laetiporus
TLDR
The use of cloned rDNA sequences might be problematic in fungal phylogenetic analyses, as well as infungal bar-coding initiatives and efforts to detect fungal pathogens in environmental samples.
Bat white-nose syndrome: a real-time TaqMan polymerase chain reaction test targeting the intergenic spacer region of Geomyces destructans
TLDR
A real-time TaqMan PCR test that detects DNA from G. destructans by targeting a portion of the multicopy intergenic spacer region of the rRNA gene complex, which is highly sensitive and provides a valuable tool for WNS diagnostics and research.
Context‐dependent conservation responses to emerging wildlife diseases
TLDR
Stage-specific goals and management actions that minimize disease impacts on wildlife, and the research required to implement them are described, including limiting pathogen spread and preventing establishment.
Non-biological synthetic spike-in controls and the AMPtk software pipeline improve mycobiome data
TLDR
AMPtk, a versatile software solution equipped to deal with variable length amplicons and quality filter HTAS data based on spike-in controls, is developed and can be widely applied to any HTAS dataset to improve data quality.
...
...