White-nose syndrome without borders: Pseudogymnoascus destructans infection tolerated in Europe and Palearctic Asia but not in North America

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White-nose syndrome without borders: Pseudogymnoascus destructans infection tolerated in Europe and Palearctic Asia but not in North America

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White-nose syndrome without borders: Pseudogymnoascus destructans infection tolerated in Europe and Palearctic Asia but not in North America
Series Title:
Scientific Reports
Zukal, Jan
Bandouchova, Hana
Brichta, Jiri
Cmokova, Adela
Jaron, Kamil S.
Kolarik, Miroslav
Kovacova, Veronika
Kubátová, Alena
Nováková, Alena
Orlov, Oleg
Pikula, Jiri
Presetnik, Primož
Šuba, Jurģis
Zahradníková Jr., Alexandra
Martínková, Natália
Publication Date:


Subjects / Keywords:
White-Nose Syndrome ( local )
Pseudogymnoascus Destructans ( local )
Infection ( local )
Europe ( local )
Palearctic Asia ( local )
serial ( sobekcm )


A striking feature of white-nose syndrome, a fungal infection of hibernating bats, is the difference in infection outcome between North America and Europe. Here we show high WNS prevalence both in Europe and on the West Siberian Plain in Asia. Palearctic bat communities tolerate similar fungal loads of Pseudogymnoascus destructans infection as their Nearctic counterparts and histopathology indicates equal focal skin tissue invasiveness pathognomonic for WNS lesions. Fungal load positively correlates with disease intensity and it reaches highest values at intermediate latitudes. Prevalence and fungal load dynamics in Palearctic bats remained persistent and high between 2012 and 2014. Dominant haplotypes of five genes are widespread in North America, Europe and Asia, expanding the source region of white-nose syndrome to non-European hibernacula. Our data provides evidence for both endemicity and tolerance to this persistent virulent fungus in the Palearctic, suggesting that hostpathogen interaction equilibrium has been established.
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Scientific Reports, Vol. 6, no. 19829 (2016-01-29).

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1 White-nose syndrome without borders: Pseudogymnoascus destructans infection tolerated in Europe and Palearctic Asia but not in North AmericaJan Zukal,,*, Hana Bandouchova,*, Jiri Brichta, Adela Cmokova, Kamil S. Jaron, Miroslav Kolarik, Veronika Kovacova, Alena Kubtov, Alena Novkov, Oleg Orlov,, Jiri Pikula Preset nik uba, Alexandra Zahradn kov Jr. & Natlia Martnkov, in infection outcome between North America and Europe. Here we show high WNS prevalence both in Europe and on the West Siberian Plain in Asia. Palearctic bat communities tolerate similar fungal loads of Pseudogymnoascus destructans infection as their Nearctic counterparts and histopathology indicates equal focal skin tissue invasiveness pathognomonic for WNS lesions. Fungal load positively correlates with disease intensity and it reaches highest values at intermediate latitudes. Prevalence source region of white-nose syndrome to non-European hibernacula. Our data provides evidence for both endemicity and tolerance to this persistent virulent fungus in the Palearctic, suggesting that hostpathogen interaction equilibrium has been established. Emerging wildlife infections are a threat to global biodiversity1, yet the emergence and transmission of such infectious diseases may also be a function of ecosystem quality and biodiversity2. Moreover, anthropogenic disturbance and introductions have been highlighted as contributing considerably to such disease outbreaks3,4. e majority of emerging wildlife pathogens are of viral origin but fungal infections have also been recognised across a diverse range of taxa, including plants and poikilothermic animals5. Relatively few fungal species cause severe diseases in mammals due to their high body temperature and eective immune system6,7. Prevalence of pathogens may be high in bat populations8 ,9. Despite this, bats have been reported to survive infections that are lethal to other taxa10. Bat’s capacity to carry pathogens may result from its ability to toler ate damage caused by the agent or the associated immune response13–15. Understanding the mechanisms that Department of Ecology and Diseases of Game, Fish and Bees, University of Veterinary and Pharmaceutical Sciences Brno, Palackeho Laboratory of Fungal Genetics and Metabolism, Institute of Microbiology, Department of Ural State Ural State Medical University, Repina * R A P OPEN


2 underlie any trade-o between tolerance and resistance to infectious agents in reservoir hosts is of utmost impor tance for eective disease control16. Most bats in temperate regions enter seasonal hibernation, at which time they reduce their metabolic rate and decrease body temperature until it approaches the ambient temperature of the hibernaculum, which may alter immune response to pathogens17,18. During hibernation, bats are vulnerable to infection by the psychrophilic fungus Pseudogymnoascus destructans [formerly Geomyces destructans ]19, which emerged as a novel pathogen in eastern North America in 200620. e P. destructans fungus is the causative agent of white-nose syndrome (WNS)20. Considered an epidemic of major conservation concern in North America, WNS is responsible for an unprecedented decline in bat populations24. WNS combines some of the worst possible epidemiological characteristics, including a highly virulent pathogen23,27 with densityand frequency-dependent transmission28, an environmental reservoir19, long-term persistence in hibernacula29,30 and susceptibility of multiple hosts19,20,31. e origin of WNS in North America remains unknown and current research focuses on identifying the infectious agent’s source and identifying whether the agent is an introduced pathogen. Six main lines of evidence support introduction of WNS into North America: 1) Fungal communities associated with bats and their hiber nacula in eastern North America comprise a diverse range of P. destructans allies22,32; phylogenetic evaluation, however, indicates that none of these is closely related to P. destructans22. 2) Previous studies have demonstrated clonal dispersal of a single P. destructans genotype among WNS-infected bats in the United States33,34. 3) Spread of WNS in North America follows a clear invasion front with varying survival rate since rst appearance of the disease24,35. 4) Presence of P. destructans has been conrmed in many European countries38 but with no reports of mass mortality38. 5) European P. destructans isolates are pathogenic for North American bats23. Further, virulent skin infections producing focally severe lesions pathognomonic for WNS have been documented in European bats under natural infection conditions42. 6) While only one heterothallic fungal mating type has been recorded in North American P. destructans populations, two types have been found coexisting in European hiber nacula. Eective recombination during sexual reproduction results in genetic variability and may be linked with virulence43. ese indirect sources of evidence tend to support the introduced pathogen hypothesis, suggesting WNS may have originated outside of North America22,23,43,44. Comparative studies between North America and Europe have been proposed to explain the origin and dierential manifestation of the fungal infection4,40,42,45. Although some authors speculate on a non-European origin4 ,25, Europe is believed to be the likely source of WNS44. Supporting evidence for long exposure to the WNS fungus based on old European photographs, which appear to show a white cutaneous fungal infection38,40, lacks specicity for WNS. Another dermatophyte, Trichophyton redellii , produces a similar gross appearance in hibernating bats46 and the photographs might represent either. On the contrary, presence of WNS in multiple and diverse hosts31 indicates that the WNS fungus could persist across their ranges in the Palearctic. To date, WNS diagnostic skin lesions have only been reported from the Czech Republic, Europe, with almost half of all species being WNS positive and prevalence based on histopathology reaching 55% in bats emerg ing from hibernacula in spring31,42. Occurrence of WNS in distantly related bat species with diverse ecologies, however, suggests the pathogen is a generalist and that all bats hibernating within the distribution range of P. destructans may be at risk of infection31. If we assume that P. destructans range expansion and its concurrent WNS epidemic occurred unnoticed in Europe in the past, we expect that WNS should be found at any site in Europe with conditions favourable for the pathogen and could extend to non-European hibernacula of the Palearctic region. We tested the following four hypotheses. First, P. destructans is present in European and non-European Palearctic hibernacula and, if the fungus is present in a hibernaculum, bats would test positive for WNS under histopathology. Second, an endemic steady-state of P. destructans infection in the Palearctic would be reected in a persistent high prevalence among bats with no associated population declines. ird, given that the dierences in population size changes in WNS-positive regions24,38 are explained as WNS resistance in Europe, Palearctic bats will display a lower pathogen load and smaller size of cupping erosions diagnostic for WNS than Nearctic species. Fourth, in regions with endemic pathogen occurrence, P. destructans load will be inuenced by geographic location, sampling date and bat community structure.ResultsWNS in the Palearctic. We sampled and examined bats from sites in geographically distant regions (the Czech Republic, Slovenia, Latvia and Russia; n 481) to assess occurrence of WNS in the Palearctic (Table1, Supplementary Table S1). We found WNS-positive bats from multiple species at all sites, including the West Siberian Plain in Russia. At each site, all of the following criteria categorised the site as WNS positive: suspected fungal growth (Fig.1), characteristic curved conidia of P. destructans observed on an adhesive tape imprint (Fig.2A), P. destructans conrmed by DNA sequencing and qPCR using a species-specic probe, and denitive diagnosis conrmed through histopathology of biopsy punches from wing membrane lesions targeted by UV trans-illumination (Fig.2B). Histopathological ndings matching WNS diagnostic criteria were present in 100 bats of 13 dierent species (Table1). Two species were newly identied as positive for WNS, Miniopterus schreibersii and Rhinolophus euryale . Species-specic prevalence, using qPCR to detect P. destructans and UV trans-illumination to detect lesions indicative of WNS, ranged from 64 to 100% (overall prevalence 83.1%) and 14 to 100% (overall prevalence 51.9%), respectively (Table1). In order to evaluate P. destructans genetic variability, we sequenced six loci resulting in 254 new sequences. Two alleles were found in TUB2, MAT1-1-1 , MAT1-2-1 and CAM loci, four alleles in TEF1 and three in ITS (Fig.3). e most frequent alleles from all loci were found in both European and Asian P. destructans isolates. In ITS and TEF1 from Asia, we sampled isolates with one substitution dierence from the most frequent allele. e dominant haplotype from the concatenated sequence of four genes (TUB2, CAM, TEF1 , ITS) is widespread in North America, Europe and Asia (Fig.3E). ree divergent concatenated haplotypes were found in the Czech


3 Republic and one local to Asian Russia. e P. destructans mating type proportion was 27 (MAT1-1-1 ) to 19 (MAT1-2-1) ( 2 1.391, P 0.238).Quantitative comparison of WNS on bats. e fungal load on qPCR-positive bats ranged from 0.21 pg to 3.41 g across the surface of the le wing (Supplementary Fig. S1, see Table1 for sample sizes). is range included fungal loads reported from Nearctic bat species (Supplementary Fig. S1). Log-transformed fungal load was not lower on Palearctic bats than on Nearctic bats (Wilcoxon W 68030, P 1, n 413 and 247, respectively), even assuming that fungal load on Nearctic bats could vary up to ten-times due to the dierence in sample collection method between continents (Wilcoxon W 50910, P 0.484). In order to account for body size dierences between Palearctic bat species, we used log-transformed fungal load per cm2 of wing area (henceforth referred to as fungal load, unless specied otherwise). Fungal load diered signicantly between regions (Kruskal-Wallis 2 94.2, P 0.001; Fig.4) and species (Kruskal-Wallis 2 221.2, P 0.001; Fig.5), with highest values recorded in the Czech Republic and two euryvalent bat species, Myotis myo tis and Myotis nattereri, respectively. In frequently captured M. myotis, fungal load did not change between 2012 and 2014 (ANOVA: F2,146 1.209, P 0.301). Prevalence dynamics of nine species captured in multiple years was statistically equal between years ( 2 test: P 0.05; Czech Republic). e sampled regions contained multi ple species with varying fungal loads (Fig.5), and some species were present in multiple regions (Table1). e observed dierence of fungal load can be caused by a dierent set of species or dierent environmental conditions Region Bat species Screened WNS qPCR WNS UV WNS histo n n qPCR (%) s.e. n UV (%) s.e. n histo (%) s.e. Slovenia Miniopterus schreibersii 21 20 100 7.1 21 47.62 10.9 6 16.67 20.05 Myotis emarginatus 3 0 NA NA 3 100 32.22 3 100 32.22 Myotis myotis 11 10 100 13.21 11 63.64 12.16 4 0 26.89 Rhinolophus euryale 14 14 64.29 9.83 14 28.57 9.83 1 100 48.47 Total 49 44 88.1 4.88 49 59.96 7 14 54.17 13.32 Czech Republic Barbastella barbastellus 18 17 64.71 11.59 18 50 11.79 4 75 26.89 Eptesicus nilssonii 3 2 50 39.61 2 0 39.61 1 100 48.47 Myotis alcathoe 7 7 71.43 17.76 7 14.29 17.76 6 0 20.05 Myotis bechsteinii 23 23 86.96 6.23 23 39.13 10.18 9 44.44 14.45 Myotis brandtii 17 16 68.75 8.71 17 23.53 8.24 1 100 48.47 Myotis dasycneme 1 1 100 48.47 1 100 48.47 1 100 48.47 Myotis daubentonii 33 30 86.67 4.85 31 51.61 8.98 14 35.71 12.81 Myotis emarginatus 33 32 96.88 4.56 32 43.75 8.77 5 60 23 Myotis myotis 156 150 99.33 1.01 108 96.3 1.4 61 73.77 5.63 Myotis nattereri 22 21 95.24 6.78 22 54.55 10.62 9 33.33 14.45 Plecotus auritus 23 23 91.3 6.23 22 68.18 9.93 11 54.55 12.16 Plecotus austriacus 3 3 66.67 32.22 3 33.33 32.22 1 0 48.47 Rhinolophus hipposideros 35 29 79.31 7.52 35 34.29 8.02 8 50 15.94 Total 374 354 81.33 2.07 321 46.84 2.79 131 55.91 4.34 Latvia Eptesicus nilssonii 4 4 25 26.89 4 25 26.89 1 0 48.47 Myotis brandtii 4 4 50 26.89 4 50 26.89 0 NA NA Myotis dasycneme 8 8 100 15.94 8 100 15.94 6 50 20.05 Myotis daubentonii 9 9 100 14.45 9 88.89 14.45 6 66.67 20.05 Total 25 25 68.75 9.27 25 65.97 9.48 13 38.89 13.52 Russia Eptesicus nilssonii 5 5 100 23 5 100 23 2 100 39.61 Myotis brandtii 9 9 100 14.45 9 100 14.45 2 0 39.61 Myotis dasycneme 17 17 100 8.24 17 100 8.24 12 75 11.27 Myotis daubentonii 1 1 100 48.47 1 100 48.47 0 NA NA Plecotus auritus 1 1 100 48.47 1 100 48.47 1 100 48.47 Total 33 33 100 4.43 33 100 4.43 17 68.75 11.24 USA Myotis lucifugus 10 0 NA NA 10 100 13.21 10 100 13.21 Total 10 0 NA NA 10 100 13.21 10 100 13.21Table 1. Prevalence of white-nose syndrome and Pseudogymnoascus destructans infection in bat species from the Holarctic region. Screened number of bats captured and examined by PCR (to detect the pathogen), UV light trans-illumination or histopathology (to detect WNS lesions). percentage of positive bats from the number screened by the method. NA not available. Samples subjected for histopathology examination were suspect lesions selected under eld conditions based on UV trans-illumination and thus prevalence on histopathology is not based on a randomized sample. It rather reects qualitative information that WNS was conrmed in the species with histopathology.


4 in sampled regions. erefore, we separated the eect of the two variables on fungal load by correcting for the random eect of species and region. is had no impact on signicance of the comparison between regions or species. e phylogenetic signal of mean species fungal load was signicant (BlombergÂ’s K 0.892, P 0.002), meaning that closely related taxa had more similar mean fungal loads in the Palearctic than expected by chance.Fungal load was signicantly correlated with the number of WNS lesions (SpearmanÂ’s rank correlation: r 0.61, P 0.001). Phylogenetic generalised least-squares, which accounts for intra-specic variability and Figure 1. Fungal growth on hibernating bats from Russia. (a) A hibernating cluster of pond bats Myotis dasycneme in a cave near Yekaterinburg, Russia, in May 2014. Black and white arrows indicate fungal growth on the muzzle and forearm, respectively. (b) A pond bat from the same hibernaculum showing visible fungal growths on the uropatagium, pelvic limb toes, plagioand pro-patagium and the ears and muzzle (white arrows). Photo: Jiri Pikula. Figure 2. White-nose syndrome on a pond bat Myotis dasycneme near Yekaterinburg, Russia, in May 2014. (A) Microscopic identication of the characteristic curved conidia of Pseudogymnoascus destructans (black arrow). (B) Invasive fungal growth penetrating the full-thickness of the wing membrane (black arrows), with several inammatory cells (neutrophils) situated at both margins of the lesion (white arrows). (C) Packed fungal hyphae of cupping erosions (black arrows) sequestered by neutrophils (white arrows). (D) Histopathological nding from a WNS-positive Nearctic Myotis lucifugus, identical to that found in Palearctic Asia. Skin sections stained with periodic acid-Schi stain.


5 species phylogenetic relationships, indicated that the number of WNS lesions increased with increasing fungal load across bat diversity in this study (intercept –0.058, slope 0.177; Fig.6). No signicant phylogenetic signal was detected in the mean number of WNS lesions by species (Blomberg’s K 0.511, P 0.073).Microscopic WNS cupping erosion width ranged between 28.6 and 397.2 m (median 86.34 m, n 105) and depth between 11.3 and 91.8 m (median 31.29 m), this also being the WNS-lesion size range detectable photographically as individual spots using UV trans-illumination. Size of WNS lesion (log-transformed) did not dier signicantly between species (Kruskal-Wallis 2 20.7, P 0.079, n 14 species across the Holarctic; G F DE B C A 1 bp 145185 Figure 3. Median-joining networks for Pseudogymnoascus destructans DNA sequences. Node centroid distances correspond to the number of substitutions between haplotypes and the node size to the number of isolates sharing the haplotype. Isolate origin is signied through dierent colours based on the inset map. e map was modied from http://www.amcharts.com/visited_countries/ (last accessed on 9 October, 2015). (A) TUB2 (n 46), (B) ITS (n 203), (C) CAM (n 47), (D) TEF1 (n 51), (E) sequences concatenated with TUB2, ITS, CAM and TEF1 (n 34); haplotypes pooled according to the available sequence and gaps treated as missing data, (F) MAT1-1-1 (n 27), (G) MAT1-2-1 (n 19). 8 6 4 2Fungal load per cm 2 (log10(µg)) Measured valuesPredicted values SloveniaCzech RepublicLatviaRussia 2.0 1.5 1.0 of WNS lesions per cm 2 (log10) Figure 4. Fungal load and number of WNS lesions in Europe (Czech Republic, Latvia, Slovenia) and in Asia (Russia). Fungal load is quantied as P. destructans-specic DNA per cm2 of wing area (established through quantitative PCR) and number of WNS lesions is counted on the same wing (using UV light trans-illumination).


6 Fig.7, see Table1 for sample sizes). Phylogenetic signal for mean species-specic WNS lesion size was also not signicant (Blomberg’s K 0.448, P 0.177) and there was no signicant dierence observed between Palearctic and Nearctic bats (phylogenetic ANOVA: F 0.43, P 0.292). e number of WNS lesions in animals positive over UV ranged from 1 to 805 (median 13) and diered signicantly between Palearctic regions (log-transformed per cm2; Kruskal-Wallis 2 33.6, P 0.001; Fig.4) and species (Kruskal-Wallis 2 76.7, P 0.001; Fig.5; correction did not inuence signicance). e fungal load from UV-negative individuals (median 3.78 10 5 g) overlapped that from UV-positive individuals (median 7.46 104 g; Fig.8). Comparison of AIC values indicated that the best tting model for fungal load across regions included geographic coordinates (95% condence interval of parameter estimates: longitude: .07–(.03), latitude: 0.16– 0.36), sampling date (0.002–0.02) and structure of common bat species community found in the respective region (.86 (2.24)) (Supplementary Table S2). On the other hand, disease intensity, quantied as number of WNS lesions, was best modelled using fungal load (0.18.28) and sampling date (.007.0003), though addition or removal of other variables did not change the relationship between WNS-lesion number and fungal load signicantly (0.18.27). In both cases, species was treated as a random eect. Values predicted from the optimal model for both fungal load and number of WNS lesions were highest in the Czech Republic (Fig.4). Lowest values were predicted in Slovenia and intermediate values in Latvia and Russia.DiscussionHere we show WNS infection in Palearctic bat communities within and beyond the borders of Europe, greatly extending the distribution range of P. destructans and conrming its generalist nature. Furthermore, we conrm WNS skin lesions in two more bat species, belonging to families Miniopteridae and Rhinolophidae. Histopathology of skin sections is presently considered the ‘gold standard’ for diagnosing WNS47. e microscopically identied WNS in bat species sampled in Russia was consistent with WNS histopathological criteria42,47. ese included characteristic cup-shaped epidermal erosions, P. destructans -infected hair follicles, associated sebaceous glands and regional connective tissues, and invasive fungal growth throughout the wing-membrane thickness (Fig.2). Our results demonstrate that P. destructans is virulent for Palearctic bats under natural infectious conditions, as previously shown in the Czech Republic31,42. Local invasiveness and WNS-lesion severity in wing membranes of bats collected in the Palearctic was comparable with that of Nearctic bats (Figs2 and 8), with 8 6 4 2P. destructans load per cm 2 (log10(g) ) Barbastella barbastellus Eptesicus nilssonii Miniopterus schreibersii Myotis alcathoe Myotis bechsteinii Myotis b r andtii Myotis dasycneme Myotis daubentonii Myotis emarginatus Myotis my otis Myotis natterer i Plecotus aur itus Plecotus austri acus Rhinolophus eu ry ale Rhinolophus hipposidero s 2.0 1.5 1.0 0.5 0.0 0.5 1.0Number of WNS lesions per cm 2 (log10) Figure 5. Fungal load and number of WNS lesions on bats from Europe (Czech Republic, Latvia, Slovenia) and Asia (Russia). Fungal load is quantied as P. destructans -specic DNA per cm2 of wing area (established through quantitative PCR) and number of WNS lesions is counted on the same wing (using UV light transillumination).


7 diagnostic features ranging from cupping erosions to full-thickness fungal invasion found on all continents. In our experience, detection of WNS-positive bats was greatly enhanced by the use of a UV lamp combined with non-lethal punch biopsies of suspected skin lesions48. e eectiveness of this method enabled us to identify seven species as WNS-positive in multiple regions, i.e. Myotis brandtii , Myotis dasycneme, Myotis daubentonii , Myotis emarginatus , M. myotis, Eptesicus nilssonii and Plecotus auritus (Table1). As predicted31, M. schreibersii and R. euryale were conrmed positive for skin lesions. ese are thermophilic species that only hibernate in -8 -6 -4 -2 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 Barbastella barbastellus Eptesicus nilssonii Miniopte ru s schreibersii My otis alcathoe My otis bechsteinii My otis brandtii My otis dasycneme My otis daubentonii My otis emarginatus My otis myo tis My otis nattereri Plecotus aur itus Plecotus austr iacus Rhinolophus eu ry ale Rhinolophus hipposideros Barbastella barbastellus Eptesicus nilssonii Miniopte ru s schreibersii My otis alcathoe My otis bechsteinii My otis brandti i My otis dasycneme My otis daubentonii My otis emarginatus My otis my otis My otis nattereri Plecotus au ri tus Plecotus austr iacus Rhinolophus eu ry ale Rhinolophus hipposideros av erage per species P. destructans load per cm 2 (log10( g)) Number of WNS lesions per cm 2 (log10) Figure 6. Phylogenetic generalised least-squares for number of WNS lesions, dependent on fungal load and accounting for within-species variation and relatedness. e dotted line represents the linear regression without phylogenetic correction. Barbastella barbastellus Eptesicus nilssonii Miniopte r us schreibersii My otis lucifugus My otis bechsteinii My otis brandti i My otis dasycneme My otis daubentonii My otis emarginatus My otis my otis M yo tis natterer i Plecotus au ri tus Rhinolophus eu r y ale Rhinolophus hipposideros 3.0 3.5 4.0 4.5Cupping erosion si ze (log10( m 2 )) Palearctic bat species Nearctic Figure 7. Variation in focal tissue invasiveness among hibernating bat species infected by Pseudogymnoascus destructans . A series of 80 periodic acid–Schi stained sections from each bat’s wing membrane biopsy were used to determine mean maximum size of WNS-diagnostic cupping erosions (log10( m2)). See Table1 for sample sizes.


8 the northern part of their ranges. Miniopterus schreibersii, a long-distance migrant, forms large mixed colonies with other cave-dwelling bat species49 and such characteristics make the species another eective candidate for pathogen dispersal. eoretically, WNS spread is limited by conditions prevalent in underground hibernacula being favourable to P. destructans and presence of susceptible hibernating bats50. Pseudogymnoascus destructans, being a generalist pathogen, could infect any bat species hibernating under the right microclimatic conditions and ecological and evolutionary dierences in the hibernating bats would not pose a barrier31. Distribution ranges of multiple WNS-positive bat species (E. nilssonii , M. dasycneme, M. daubentonii, M. brandtii, P. auritus ) extend across Palearctic Asia and overlap with their sister species or ecological counterparts (e.g. Myotis petax , Myotis sibiricus ). As bats can form multi-species clusters at hibernation sites, there is a good chance that P. destructans could switch host species to presently WNS-negative taxa (e.g. Myotis ikonnikovi , M. petax, M. sibiricus). is suggests that WNS may be present throughout the Palearctic where suitable environmental conditions occur and in all bat species that utilise such sites. In fact, a paper published ahead of print during review of this article corroborates our conclusions with one M. petax found positive for WNS in North China51. Given the tragic impact of WNS on bat biodiversity in North America24, it is important to identify the source of possible introduction4. However, P. destructans exhibits notoriously low genetic diversity in both the clonal North American populations33,34,43 and the sexually reproducing populations of Europe44, eectively thwarting eorts to pinpoint the source region. Our study further exacerbates the enigma of where the North American P. destructans strain originates as the North American haplotype was found in all non-mating gene types in Palearctic Asia, thereby expanding the putative source region (Fig.3). Additionally, the search for a source region should shi to markers with a faster mutation rate and better resolution for P. destructans phylogeography, as the low genetic variability in markers routinely used in fungal population studies indicates a relatively recent origin or expansion of the Palearctic population. eory suggests that if a disease is detectable at high prevalence it is probably mild and unlikely to be a major problem52. Two methods were used to establish prevalence in this study: qPCR, used to quantify the patho gen on wing skin53, and UV trans-illumination of the wing membrane, which enables detection of uorescing lesions associated with WNS skin infection48. Both methods provided comparable results of high prevalence, and, together with stable or increasing host population sizes54, our data strongly suggest endemicity of P. destructans within Palearctic bat populations. Persistent high prevalence and pathogen load with absence of population declines in the Palearctic are in sharp contrast to the situation in the Nearctic. In Midwestern United States, high prevalence of P. destructans infection was followed by a decrease in number of hibernating bats55. Some form of host-pathogen equilibrium, analogous to the amphibian chytrid fungus observed in post-decline frog communities56, may already have occurred in the Palearctic but not in the Nearctic. Pathogen load indicates both exposure to the infectious agent and suitability of the host for pathogen replication57. Pseudogymnoascus destructans fungal load can be evaluated using swab samples from wing membranes53. Although swabs do not sample fungus invasion deep in the wing tissue, our results show that fungal load sampled in this way is positively correlated with the number of WNS lesions (Fig.6). Hence, fungal load from swabs may be assumed to approximate the total load associated with the skin infection. Fungal loads determined across the Palearctic were similar to those observed in Nearctic species (Supplementary Fig. S1). e swabbing technique used in the North American studies19,58,59, however, does not allow standardisation of P. destructans load per cm2 Fungal load per cm (log (g))Density 8 6 4 20 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 UV positive , n = 255 UV negati ve , n = 151 Figure 8. Frequency of Pseudogymnoascus destructans fungal load per cm2 of wing area. Bats were identied as positive (grey; n 255) and negative (orange; n 151) using UV trans-illumination.


9 and thus detailed statistical comparisons cannot be made. Nevertheless, fungal loads in Nearctic bats are similar to the observed fungal load of Palearctic bats (Supplementary Fig. S1), even if the former were underestimated ten-fold with the dierent swabbing technique. In the Palearctic study area, fungal load diered regionally (Fig.4) and between species (Fig.5) with no reported mass decline in bat populations attributable to WNS38,54. Fungal load increased with increasing northing and westing, sampling day (load increasing later in the year) and in regions where phylogenetically closely-related hibernating bats predominated (Fig.4). The driving factor that best modelled the number of WNS lesions observed using UV trans-illumination in the Palearctic was the fungal load. Increasing fungal load positively correlated with disease intensity across species diversity indicates that hyphae are more likely to invade deep tissues and cause WNS lesions with heavy fungal growth on bat wings (Fig.5). However, with overlap of fungal loads in UV-negative and UV-positive bats, no clear fungal load threshold denes the pathogen pressure where development of WNS lesions starts. With persistent and similar fungal load (Supplementary Fig. S1) and cupping erosion size (Fig.7) on bats from the Palearctic and the Nearctic, the dierence in population size response is striking. While population sizes dropped dramatically under the WNS epidemic in the Nearctic24, population size changes remained within normal inter-annual uctuation levels in the Palearctic38,54,60. Our data suggest that, once the hibernacula are contaminated by the fungus, Palearctic bats are exposed to high pathogen pressure and the infection is continuously present to a high level, i.e. the so-called hyperendemic condition. e dierence in infection outcome is therefore a function of adaptation to pathogen pressure. While reduction of pathogen load is a function of host resistance, the ability to limit the harm caused by a given load is a result of tolerance61,62. ese two alternative and complementary forms of defence may have pro found eects on the epidemiology of infectious diseases and on host-pathogen coevolution62. Resistance protects the host at the expense of the pathogen and tolerance saves the host from harm without direct negative eects on the infectious agent. Evolution of resistance, therefore, should also reduce the prevalence of the pathogen in host populations. On the other hand, tolerance is expected to have a neutral, or even positive, eect on prevalence of the pathogen. Lack of resistance to WNS infection in hibernating European bats has been demonstrated in 13 species31,42 that exhibit stable or increasing population sizes54. Yet, prevalence of P. destructans -positive bats reached 100% in the Palearctic. In light of the above arguments, it would appear that mechanisms promoting tolerance to P. destructans infection are in operation in the area studied. Palearctic bat species tolerate comparable fungal loads and WNS-lesion size to their Nearctic counterparts suering population declines. We hypothesise that the balance between tolerance and resistance mechanisms changes with transition of bats from hibernation to euthermia. Our results provide evidence of P. destructans and pathognomonic WNS skin lesions in hibernating bats sampled from the West Siberian Plain of Russian Asia and indicate endemicity of this virulent fungus in the Palearctic region. Data suggesting bat tolerance imply lowered risk following establishment of equilibrium in the host-pathogen interaction. e extensive spatial distribution of the agent may pose a threat, however, representing a continued source of introduction to other regions with nave bats not yet exposed to the pathogen. Classical models employing the disease triangle concept suggest that the epidemiological outcome of an infection depends on determinants of the pathogen, host(s) and the environment. Alterations in any of these determinants may trigger shis in the complex host-pathogen system, as seen here by infection tolerance in hibernating Palearctic bats.MethodsMaterial collection. Between 2012 and 2014, we sampled 481 bats (15 species) at 20 sites in Slovenia, the Czech Republic, Latvia and Russia (West Siberian Plain, Asia; Table1, Fig.3). Samples were taken as late in the hibernation or as early in the post-hibernation season as possible (February-May) to minimise the impact of disturbance to specic bat species. Following capture, the wings, ears and muzzle were swabbed with a nylon (FLOQ Swabs, Copan Flock Technologies srl, Brescia, Italy) or cotton swab (Plain swab sterile plastic applicator, Copan) in a standardised manner in order to collect fungal biomass from the whole skin area for fungal detection (dorsal side of le wing only for qPCR). e bats were photographed over a 368 nm wavelength UV lamp and wing punch biopsies of suspect tissue collected in 10% formalin for histopathological examination. All bats were then released at the site. WNS was diagnosed according to current standards47, i.e. P. destructans presence was conrmed with qPCR53 and selected orange-yellow spots observed over UV were sampled. A series of 80 periodic acid-Schi stained sections embedded in paran were obtained from each wing membrane biopsy. ese were then observed under an Olympus BX51 light microscope (Olympus Corporation, Tokyo, Japan). Fungal cell walls were stained magenta under the periodic acid-Schi stain, which allowed measurement of cupping erosions packed with hyphae. Using cellSense Soware tools (Olympus So Imaging, GmbH, Mnster, Germany), we measured total area (size) of cupping erosions. Trans-illuminated photographs of the le wing membrane stretched over a UV lamp were used to manually enumerate yellow-orange uorescing pinpoints indicative of WNS lesions48, using the individual object counting tool of ImageJ63. Bats were considered WNS-positive if qPCR conrmed P. destructans infection, wings exhibited characteristic UV uorescence48 and cupping erosions packed with fungal hyphae or a full thickness fungal invasion of the wing membrane were observed under histopathology47. Additional swabs taken from the wings and muzzle aer sampling for qPCR were used for cultivation on Sabouraud dextrose agar plates and isolation of the fungus in pure cultures38. Representative isolates were deposited at the Culture Collection of Fungi, Charles University in Prague, Czech Republic. Field work and sampling in the Czech Republic was performed in accordance with Czech Law No. 114/1992 on Nature and Landscape Protection, based on permits 01662/MK/2012S/00775/MK/2012, 866/JS/2012 and 00356/KK/2008/AOPK issued by the Agency for Nature Conservation and Landscape Protection of the Czech


10 Republic. Experimental procedures were approved by the Ethical Committee of the Academy of Sciences of the Czech Republic (No. 169/2011). Sampling in Latvia was approved by the Nature Conservation Agency (No. 3.15/146/2014-N), in Slovenia by the Ministry of Environment and Spatial Planning of the Slovenian Republic, Slovenian Environment Agency (No. 35601-35/2010-6) and in Russia by the Institute of Plant and Animal Ecology, Ural Division of the Russian Academy of Sciences (No. 16353/325). e authors were authorised to handle free-living bats according to the Czech Certicate of Competency (No. CZ01341; , Act No. 246/1992 Coll.) and a permit approved by the Latvian Nature Conservation Agency (No. 05/2014).DNA isolation. Total DNA was isolated from swabs using the QIAamp DNA Mini Kit (Qiagen, Halden, Germany). Swabs were placed in tissue lysis buer with proteinase K and incubated at 56 C for two hours. Lysis buer was added and the samples incubated for a further 10 min. Aer this step, we followed the Qiagen Buccal Swab Spin Protocol according to the manufacturer’s recommendations.Quantitative PCR. We performed quantitative PCR53 (qPCR) using TaqMan Universal Master Mix II with UNG (Life Technologies, Foster City, CA, USA). To optimise the PCR reaction, we added bovine serum albumin and Platinum Taq DNA Polymerase (Life Technologies) in nal concentrations of 0.05 mg/ l and 0.025 U/ l, respectively. We used both forward and reverse primers (0.3 M each) and species-specic and genus-specic uorescently-labelled custom probes were used for quantication of the PCR product. e reaction mix was prepared on ice and three replicates were prepared for each DNA sample. We performed real-time PCR reaction on a LightCycler 480 PCR platform (Life Technologies) with initial inactivation at 50 C for 2 min and a hot start at 96 C for 10 min. Nine cycles with a denaturation step at 95 C for 15 sec and annealing at 62 C for 1 min were followed by 43 identical cycles with quantication detection. qPCR was nalised by dissociation at 95-60-95 C for 15 sec each and cooling to 40 C for 10 min. DNA isolated from CCF3937 culture38 and water were used as positive and negative controls and as concentration references for each run.Fungal load on Palearctic bats. We calculated a DNA concentration calibration curve using a CCF3937 dilution series. Exact DNA concentrations (ng l1) in the dilution series were determined using Qubit HS uorometry via the manufacturer’s protocol. Eectivity of qPCR was 1.96. We used this dilution series to estimate the relationship between fungal load and qPCR cycle, calculating P. destructans DNA concentration in the sample using custom scripts in R64 with the equation log(qPdDNA) 3.194 – 0.287 Cp ( R2 0.9719), where q is the DNA concentration and Cp the cycle. Each result was converted to fungal load based on the positive control and overall elution of DNA.Fungal load on Nearctic bats. We downloaded previously published P. destructans loads from natural infections19 ,58 or recalculated loads from mean Cp values according to the authors’ equation59. In one case, we plotted means as individual data points as the authors19 included species means per site (plus standard error) but fungal loads per individual were not published. e sample sizes for Nearctic bat species sampled within the dates used in this study were: Corynorhinus ranesquii ( n 2), Eptesicus fuscus ( n 6), Lasiurus borealis ( n 2), Myotis grisescens ( n 11), M. leibii ( n 1), M. lucifugus ( n 36), M. septentrionalis ( n 4), M. sodalis ( n 13) and Perimyotis fuscus ( n 172). None of the North American studies specied sampled area on the bat with sucient precision to enable standardisation to cm2 or universal statistical comparison.Molecular genetic variability of P. destructans. To assess genetic variability, we used a set of isolates collected between 2009 and 2014 in the Czech Republic38,65 and isolates from this study. e isolates were character ised using ITS and ve other nuclear gene sequences using previously published primers (Supplementary Table S3). Chromatograms were assembled to DNA sequences in Geneious 6 (Biomatters, Auckland, New Zealand) and submitted to the European Nucleotide Archive (LN871244-LN871428). ese were checked with blast and P. destructans was conrmed at all sites with a sequence identity to previously sequenced strains 99% in all markers. We then downloaded previously published P. destructans sequences of the respective genes from GenBank. Sequence haplotypes were identied based on available nucleotide residues, with gaps and unresolved bases treated as missing data. We estimated relationships between haplotypes using median-joining networks66.Individual-based linear mixed models. We modelled intensity of WNS infection using fungal load on the dorsal side of the le wing and the number of WNS lesions on the same wing visualised over UV in R64. UV-detectable lesions correspond with cupping erosions diagnostic for WNS in Europe and North America, thereby reecting disease intensity47,48. Our previous experience in the Czech Republic has shown that wing damage tends to be localised and that lesions do not usually merge31, allowing them to be counted. e yellow-orange uorescent spots were counted by a researcher with no knowledge of the qPCR and histopathology results for the samples. We scaled variables to 1 cm2 of wing area67 and log-transformed them in order to account for body-size dierences between species. We included latitude and longitude, sampling day (from the beginning of the calendar year) and scores for the rst two principal components (characterising dominant hibernating bat community in each region; Supplementary Fig. S2) as xed-eect variables and species as a random eect. Microclimate at a specic bat roost might inuence fungal load and disease intensity on an individual through a compound eect of optimizing growth conditions for the pathogen and hibernation conditions for the host. We used geographic coordinates as a proxy for possible general site microclimate (mean annual temperature, elevation, humidity) under the assumption that fungal load and number of WNS lesions would increase at higher latitudes and with longitudinal shi from oceanic to more continental climate. Similarly, we expected day of sampling to be reected in the dependent variables as increased time for fungus propagation might increase its loading. As such,


11 geographic location, combined with sampling date, can be understood as a proxy for cave microclimate, which would inuence growth of the WNS fungus50,68. Both relatedness and species assemblage dierences at hibernacula in a given region could skew regional fungal load and disease intensity in favour of those areas where severely infested species co-occur. We estimated bat communities present at hibernacula from local surveys. Relatedness of species recorded was assessed using mean phylogenetic distance and mean nearest taxon distance (both with weighted abundance) and UniFrac metric measuring the percentage of phylogeny shared by a given community. We used these metrics for principal components analysis. We used backward stepwise variable selection to develop the model, which was assessed using the Akaike Information Criterion (AIC).Species-level phylogenetically-informed model. Previously published phylogenetic trees for European bats31 based on multilocus sequence data were rescaled as an ultrametric tree using penalised likelihood69,70 with and root height 1. We used R70,71 to calculate phylogenetic signal in species means and phylogenetic ANOVA71,72. We used the phylogenetic generalised least-squares method72,73 to explain the number of visible WNS lesions on a UV trans-illuminated wing based on P. destructans fungal load.References1. Dasza, P., Cunningham, A. A. & Hyatt, A. D. Emerging infectious diseases of wildlife reats to biodiversity and human health. Science 287, 443 (2000). 2. eesing, F. et al. Impacts of biodiversity on the emergence and transmission of infectious diseases. Nature 468, 647 (2010). 3. Dobson, A. & Foufopoulos, J. Emerging infectious pathogens of wildlife. Philos. Trans. . Soc. Lond. B Biol. Sci. 356, 1001 (2001). 4. Puechmaille, S. J. et al. White-nose syndrome: is this emerging disease a threat to European bats? Trends Ecol. 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12 36. Maher, S. P. et al. Spread of white-nose syndrome on a networ regulated by geography and climate. Nat. Commun. 3, 1306 (2012). 37. Maslo, B. & Feerman, N. H. A case study of bats and white-nose syndrome demonstrating how to model population viability with evolutionary eects. Conserv. Biol. 29, 1176 (2015). 38. Martnov, N. et al. Increasing incidence of Geomyces destructans fungus in bats from the Czech epublic and Slovaia. PLoS ONE 5, e13853 (2010). 39. Puechmaille, S. J. et al. Pan-European distribution of white-nose syndrome fungus (Geomyces destructans ) not associated with mass mortality. PLoS ONE 6, e19167 (2011). 40. Wibbelt, G. et al. White-nose syndrome fungus (Geomyces destructans ) in bats, Europe. Emerg. Infect. Dis. 16, 1237 (2010). 41. Pavlini, I., aovi, M. & Loji, I. Pseudogymnoascus destructans in Croatia conrmed. Eur. J. Wildl. es. 61, 325 (2015). 42. Bandouchova, H. et al. Pseudogymnoascus destructans: evidence of virulent sin invasion for bats under natural conditions, Europe. Transbound. Emerg. Dis. 62, 1 (2015). 43. Palmer, J. M. et al. Molecular characterization of a heterothallic mating system in Pseudogymnoascus destructans, the fungus causing white-nose syndrome of bats. G3 (Bethesda) 4, 1755 (2014). 44. Leopardi, S., Blae, D. & Puechmaille, S. J. White-nose syndrome fungus introduced from Europe to North America. Curr. Biol. 25, (2015). 45. Blehert, D. S. Fungal disease and the developing story of bat white-nose syndrome. PLoS Pathog. 8, e1002779 (2012). 46. Lorch, J. M. et al. e fungus Trichophyton redellii sp. nov. causes sin infections that resemble white-nose syndrome of hibernating bats. J. Wildl. Dis. 51, 36 (2015). 47. Meteyer, C. U. et al. Histopathologic criteria to conrm white-nose syndrome in bats. J. Vet. Diagn. Invest. 21, 411 (2009). 48. Turner, G. G. et al. Nonlethal screening of bat-wing sin with the use of ultraviolet uorescence to detect lesions indicative of whitenose syndrome. J. Wildl. Dis. 50, 566 (2014). 49. Hutterer, ., Ivanova, T., Meyer-Cords, C. & odrigues, L. Bat Migrations in Europe: A eview of Banding Data and Literature. (Federal Agency for Nature Conservation, 2005). 50. Perry, . W. A review of factors aecting cave climates for hibernating bats in temperate North America. Environ. ev. 21, 28 (2013). 51. Hoyt, J. . et al. Widespread bat white-nose syndrome fungus, Northeastern China. Emerg. Infect. Dis. 22, doi: 10.3201/ eid2201.151314 (2016). 52. McCallum, H. & Dobson, A. Detecting disease and parasite threats to endangered species and ecosystems. Trends Ecol. Evol. 10, 190 (1995). 53. Shuey, M. M., Drees, . P., Lindner, D. L., eim, P. & Foster, J. T. Highly sensitive quantitative PC for the detection and dierentiation of Pseudogymnoascus destructans and other Pseudogymnoascus species. Appl. Environ. Microbiol. 80, 1726 (2014). 54. Van der Meij, T. et al. eturn of the bats? A prototype indicator of trends in European bat populations in underground hibernacula. Mammalian Biology Zeitschri fr Sugetierunde 80, 170 (2015). 55. Langwig, . E. et al. Invasion dynamics of white-nose syndrome fungus, Midwestern United States, 2012. Emerg. Infect. Dis. 21, doi: 10.3201/eid2106.150123 (2015). 56. etallic, . W., McCallum, H. & Speare, . Endemic infection of the amphibian chytrid fungus in a frog community post-decline. PLoS Biol. 2, e351 (2004). 57. Horrocs, N. P., Matson, . D. & Tieleman, B. I. Pathogen pressure puts immune defense into perspective. Integr. Comp. Biol. 51, 563 (2011). 58. Bernard, . F., Foster, J. T., Willcox, E. V., Parise, . L. & McCracen, G. F. Molecular detection of the causative agent of white-nose syndrome on anesque’s big-eared bats (Corynorhinus ranesquii ) and two species of migratory bats in the southeastern USA. J. Wildl. Dis. 51, 519 (2015). 59. Janici, A. F. et al. Ecacy of visual surveys for White-nose syndrome at bat hibernacula. PLoS ONE 10, e0133390, doi: 10.1371/ journal.pone.0133390 (2015). 60. Fric, W. F. et al. Disease alters macroecological patterns of North American bats. Glob. Ecol. Biogeogr. 24, 741, doi: 10.1111/ geb.12290 (2015). 61. Medzhitov, ., Schneider, D. S. & Soares, M. P. Disease tolerance as a defense strategy. Science 335, 936 (2012). 62. berg, L., Graham, A. L. & ead, A. F. Decomposing health: tolerance and resistance to parasites in animals. Philos. Trans. . Soc. Lond. B Biol. Sci. 364, 37 (2009). 63. Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Meth . 9, 676 (2012). 64. ., Core Team. : A language and environment for statistical computing, http://www.-project.org/ (2013). 65. ubtov, A., ouol, O. & Novov, A. Geomyces destructans , phenotypic features of some Czech isolates. Czech Mycol. 63, 65 (2011). 66. Bandelt, H. J., Forster, P. & hl, A. Median-joining networs for inferring intraspecic phylogenies. Mol. Biol. Evol. 16, 37 (1999). 67. Norberg, U. M. & ayner, J. M. V. Ecological morphology and ight in bats (Mammalia, Chiroptera): Wing adaptations, ight performance, foraging strategy and echolocation. Philos. Trans. . Soc. Lond. B Biol. Sci. 316, 335 (1987). 68. Hallam, T. G. & Federico, P. e panzootic white-nose syndrome: an environmentally constrained disease? Transbound. Emerg. Dis. 59, 269 (2012). 69. Paradis, E., Claude, J. & Strimmer, . APE: Analyses of phylogenetics and evolution in language. Bioinformatics 20, 289 (2004). 70. Sanderson, M. J. Estimating absolute rates of molecular evolution and divergence times: a penalized lielihood approach. Mol. Biol. Evol. 19, 101 (2002). 71. Harmon, L. J., Weir, J. T., Broc, C. D., Glor, . E. & Challenger, W. GEIGE: Investigating evolutionary radiations. Bioinformatics 24, 129 (2008). 72. evell, L. J. phytools: An pacage for phylogenetic comparative biology (and other things). Methods Ecol. Evol. 3, 217 (2012). 73. Ives, A. ., Midford, P. E. & Garland Jr., T. Within-species measurement error in phylogenetic comparative methods. Syst. Biol. 56, 252 (2007).Acknowledgementsis study was supported through a grant from the Czech Science Foundation (Grant No. P506-12-1064). We are grateful to Tom Bartonika, Hana Berkov and Masha Orlova for invaluable eld assistance, to Matej Dolinay, Ji C. Moravec, Patrcia Penerov and Aneta Reichov for laboratory assistance and to Gregory G. Turner for biopsy samples from Nearctic bats.


13 Author ContributionsJ.Z., J.P. and N.M. designed the study and participated in eld research, with help from H.B., J.B., V.K., O.O., P.P. and J.S. H.B., A.C., A.K., A.N., J.P. and A.Z. performed the laboratory analyses. K.S.J., M.K., J.P. and N.M. analysed the data. J.Z., J.P. and N.M. wrote the manuscript, with contributions from all authors.Additional InformationSupplementary information accompanies this paper at http://www.nature.com/srep Competing nancial interests: e authors declare no competing nancial interests. How to cite this article: Zukal, J. et al. White-nose syndrome without borders: Pseudogymnoascus destructans infection tolerated in Europe and Palearctic Asia but not in North America. Sci. Rep. 6, 19829; doi: 10.1038/ srep19829 (2016). is work is licensed under a Creative Commons Attribution 4.0 International License. e images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/


1 Corrigendum: White-nose syndrome without borders: Pseudogymnoascus destructans infection tolerated in Europe and Palearctic Asia but not in North AmericaJan Zukal, Hana Bandouch ova, Jiri Brichta , Adela Cmokova, Kamil S. Jaron , Miroslav Kolarik , Veronika Kovaco va, Alena Kubtov , Alena Novkov, Oleg Orlov , Jiri Pikula , Preset nik uba, Alexandra Zahradnkov Jr. & Natlia MartnkovScientic Reports 6:19829; doi: 10.1038/srep19829; published online 29 January 2016; updated on 20 May 2016 is Article contains typographical errors. In the Results section under subheading ‘Quantitative comparison of WNS on bats’, “The fungal load on qPCR-positive bats ranged from 0.21 pg to 3.41 g across the surface of the left wing (Supplementary Fig. S1, see Table 1 for sample sizes)”. should read: “The fungal load on qPCR-positive bats ranged from 0.21 fg to 3.41 ng across the surface of the left wing (Supplementary Fig. S1, see Table 1 for sample sizes)”. “e fungal load from UV-negative individuals (median 3.78 10 5 g) overlapped that from UV-positive individuals (median 7.46 104 g; Fig. 8)”. should read: “e fungal load from UV-negative individuals (median 3.78 10 5 ng) overlapped that from UV-positive individuals (median 7.46 104 ng; Fig. 8)”. In the upper panel of Figure 4, the y-axis ‘Fungal load per cm2 (log10(ng))’ was incorrectly given as ‘Fungal load per cm2 (log10( g))’ In the upper panel of Figure 5, the y-axis ‘ P. destructans load per cm2 (log10(ng))’ was incorrectly given as ‘ P. destructans load per cm2 (log10( g))’ In Figure 6, the x-axis ‘P. destructans load per cm2 (log10(ng))’ was incorrectly given as ‘P. destructans load per cm2 (log10( g))’ In Figure 8, the x-axis ‘Fungal load per cm2 (log10(ng))’ was incorrectly given as ‘Fungal load per cm2 (log10( g))’OPEN


2 In the legend of Figure 8, “Bats were identied as positive (grey; n 255) and negative (orange; n 151) using UV trans-illumination”. should read: “Bats were identied as positive (orange; n 255) and negative (grey; n 151) using UV trans-illumination”. e correct Figures 4, 5, 6 and 8 appear below as Figures1, 2, 3 and 4 respectively.


3 Figure 1. Figure 2.


4 Figure 4. Figure 3. is work is licensed under a Creative Commons Attribution 4.0 International License. e images or other third party material in this article are included in the articleÂ’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/


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Nunc fringilla dolor ut dictum placerat. Proin ac neque rutrum, consectetur ligula id, laoreet ligula. Nulla lorem massa, consectetur vitae consequat in, lobortis at dolor. Nunc sed leo odio.