Abstract

Where microbes colonizing skin surface may help maintain organism homeostasis, those that invade living skin layers cause disease. In bats, white-nose syndrome is a fungal skin infection that affects animals during hibernation and may lead to mortality in severe cases. Here, we inferred the amount of fungus that had invaded skin tissue of diseased animals. We used simulations to estimate the unobserved disease severity in a non-lethal wing punch biopsy and to relate the simulated pathology to the measured fungal load in paired biopsies. We found that a single white-nose syndrome skin lesion packed with spores and hyphae of the causative agent, Pseudogymnoascus destructans, contains 48.93 pg of the pathogen DNA, which amounts to about 1560 P destructans genomes in one skin lesion. Relating the information to the known UV fluorescence in Nearctic and Palearctic bats shows that Nearctic bats carry about 1.7 µg of fungal DNA per cm2, whereas Palearctic bats have 0.04 µg cm−2 of P. destructans DNA. With the information on the fungal load that had invaded the host skin, the researchers can now calculate disease severity as a function of invasive fungal growth using non-destructive UV light transillumination of each batʼs wing membranes. Our results will enable and promote thorough disease severity assessment in protected bat species without the need for extensive animal and laboratory labor sacrifices.

Highlights

  • Association of pathogen load with infections transmission stands at the forefront of epidemiological dynamics models, where high pathogen load increases chances of transmission (Wilson et al, 2008)

  • For with multiple UV fluorescent lesions theoretical fungal load in a UV lesion / # 10.075,0.0972 ng, 127 simulations failed to find any feasible combination of samples with multiple cupping erosions despite attempting one thousand permutations for each / (Fig. 3), indicating that the range might represent an upper limit of fungal load in one white-nose syndrome (WNS) lesion in M. myotis

  • The utility in modelling pathogen load from data originating from non-lethal sampling provides unquestionable advantages and insight into disease dynamics

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Summary

Introduction

Association of pathogen load with infections transmission stands at the forefront of epidemiological dynamics models, where high pathogen load increases chances of transmission (Wilson et al, 2008). The amount of the pathogen that can infect a new host represents an infectious dose. The infectious dose needs to be transmitted through pathogen shedding via aerosol, direct or vector-mediated oral or bodily fluids exchange. The pathogen is often quantified in sputum, feces, urine or blood, but such measures do not directly reflect the systemic infection or disease severity. Clinical data support that the overall pathogen load positively correlates with disease severity (Franz et al, 2010; van der Poll and Opal, 2008). Technical and ethical hurdles hinder estimation of the overall load of the pathogen, where the pathogen may occur in different tissues in differing quantities during disease progression (Cunnington, 2015). Thorough sampling can be possible during autopsy with pathogen quantification in multiple tissue samples, which is sadly late for the patient

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