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USGS · 70282741

Bat skin microbiome and the association of ecoregion and bat species that impacted isolation of members with bioactivity against Pseudogymnoascus destructans

Abstract

Background Microbiome constituents can serve as a primary defense against vertebrate pathogens. This may be crucial to the protection of North American bats who have been devastated over the last two decades by the fungal pathogen, Pseudogymnoascus destructans (Pd) , which causes white-nose syndrome (WNS). The objectives of this study were to isolate members of the external microbiome of bats post-hibernation in Arizona and New Mexico before the arrival of WNS, to identify those bacteria with bioactivity against Pd , and to determine the variables associated with antifungal strains. Results In this study we isolated 2,936 bacteria from the fur and skin of 314 bats across 12 bat species at 6 sites across New Mexico and Arizona from 2013 to 2016. Selective media were used to promote the isolation of Actinomycetota (2,594 isolates, 88.4%), particularly species of Streptomyces (2,045 isolates, 69.7%) known for their bioactivity. Although Actinomycetota isolation was targeted, this collection includes representatives from Pseudomonadota (Alpha-, Beta -, and Gamma-Proteobacteria ), Bacillota , and Bacteroidota phyla also common to the bat microbiome. A bi-layer challenge assay performed on 1,089 isolates identified 61 bat-associated bacteria with activity against Pd. These results were pooled with efforts by Hamm et al. [ 1 ] to determine what metrics impacted isolation of bacteria that inhibit Pd ( n = 97). Ecoregion and bat species were determinant variables associated with Pd inhibition. Conclusions This study represents, to our best knowledge, the largest culture collection of bacteria from bats’ skin and fur before the impact of WNS. We identified bacteria with antifungal activity against Pd and found significant associations of bioactive strains with bat species and ecoregions.

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90° N90° S · 180° W ← longitude → 180° E
Source-reported bounding extent: 31.2955286° to 37.0203558° latitude; -114.8586767° to -103.003746° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

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BibTeXRIS

Paris S. Salazar-Hamm, Maria-Jose Romero-Jimenez, Nicole A. Caimi, Kevin R. Amses, Jennifer J. Marshall Hathaway, Debbie C. Buecher, Ernest W. Valdez, Lindsay K. Caesar, Andrea Porras-Alfaro, Diana E. Northup. 2026-06-25. Bat skin microbiome and the association of ecoregion and bat species that impacted isolation of members with bioactivity against Pseudogymnoascus destructans. https://doi.org/10.1186/s42523-026-00591-4

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Cotton farming affects ileal virome in a sedentary wild passerine

Although a few studies have focused on avian gut virome variation in response to environmental stressors, none have assessed virome in relation to the production of chemically intensive crop-based agriculture that alters food resources and detrimentally affects various aspects of avian health and fitness. In this study, we used shotgun metatranscriptomics to assess whether exposure to cotton ( Gossypium spp.) production had a deleterious effect on the ileal virome of sedentary northern mockingbirds ( Mimus polyglottos ) sampled from two cotton-producing areas (16 birds in total) and one uncultivated area (7 birds) in Texas, USA. We recovered 43 viruses representing 13 virus families, which included two viruses that appear to be potential vertebrate pathogens. Individual sample richness varied from 25 to 33 viruses. Both virome richness (Adj. r 2 = 0.247, F (2, 20) = 4.615, P = 0.022) and composition (r 2 = 0.370, F (2, 20) = 5.883, P = 0.001) differed among three sampling regions. Cotton production was associated with the increase of virome richness (Adj. r 2 = 0.283, df = 22, P = 0.005). Pesticide occurrence data collected using silicone bands at the three sites suggest that virome compositional changes are not only associated with total pesticide exposure but are also particularly sensitive to the pesticide combinations detected at each location.

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