Skip to main content
. 2021 Jul 21;9(1):10.1128/spectrum.00254-21. doi: 10.1128/spectrum.00254-21

TABLE 2.

Model predictions of which bat species in western North America will be resistant to white-nose syndrome based on different mycobiome characteristics

Bat species (n) and parameter Susceptibility or resistance based ona:
Yeast abundance Cutaneotrichosporon moniliiforme Debaryomyces sp. 3 Debaryomyces sp. 1 Debaryomyces hansenii
Matthews correlation coefficient 0.80 0.48 0.05 0.31 0.85
Antrozous pallidus (39) Susceptible Susceptible Susceptible Susceptible Susceptible
Corynorhinus townsendii (83) Susceptible Susceptible Susceptible Susceptible Susceptible
Eptesicus fuscus (9) Susceptible Susceptible Susceptible Susceptible Susceptible
Euderma maculatum (8) Susceptible Susceptible Susceptible Susceptible Susceptible
Myotis californicus (34) Susceptible Susceptible Susceptible Susceptible Susceptible
Myotis ciliolabrum (36) Susceptible Susceptible Susceptible Susceptible Susceptible
Myotis evotis (47) Susceptible Susceptible Susceptible Susceptible Susceptible
Myotis lucifugus (13) Susceptible Susceptible Susceptible Susceptible Susceptible
Myotis thysanodes (32) Susceptible Susceptible Susceptible Susceptible Susceptible
Myotis velifer (31) Susceptible Susceptible Resistant Resistant Resistant
Myotis volans (43) Susceptible Susceptible Susceptible Susceptible Susceptible
Myotis yumanensis (55) Susceptible Susceptible Susceptible Susceptible Susceptible
Parastrellus hesperus (17) Susceptible Susceptible Susceptible Susceptible Susceptible
a

Shown are the results of our model predictions of which bat species in western North America will be resistant to white-nose syndrome (WNS) based on different mycobiome characteristics, including yeast abundance cultured from skin swabs (counts of CFU) and the presence of four yeast taxa that were differentially abundant on WNS-resistant bat species in eastern North America (as determined by Vanderwolf et al. [11]). A Matthews correlation coefficient of +1 represents perfect prediction, 0 no better than random prediction, and −1 indicates total disagreement between prediction and observation for each model. “n” indicates sample size.