Skip to main content
PLOS Pathogens logoLink to PLOS Pathogens
. 2021 Feb 18;17(2):e1009234. doi: 10.1371/journal.ppat.1009234

Winter is coming–Temperature affects immune defenses and susceptibility to Batrachochytrium salamandrivorans

Edward Davis Carter 1, Molly C Bletz 2, Mitchell Le Sage 3, Brandon LaBumbard 2, Louise A Rollins-Smith 3, Douglas C Woodhams 2, Debra L Miller 1,4, Matthew J Gray 1,*
Editor: Chengshu Wang5
PMCID: PMC7891748  PMID: 33600433

Abstract

Environmental temperature is a key factor driving various biological processes, including immune defenses and host-pathogen interactions. Here, we evaluated the effects of environmental temperature on the pathogenicity of the emerging fungal pathogen, Batrachochytrium salamandrivorans (Bsal), using controlled laboratory experiments, and measured components of host immune defense to identify regulating mechanisms. We found that adult and juvenile Notophthalmus viridescens died faster due to Bsal chytridiomycosis at 14°C than at 6 and 22°C. Pathogen replication rates, total available proteins on the skin, and microbiome composition likely drove these relationships. Temperature-dependent skin microbiome composition in our laboratory experiments matched seasonal trends in wild N. viridescens, adding validity to these results. We also found that hydrophobic peptide production after two months post-exposure to Bsal was reduced in infected animals compared to controls, perhaps due to peptide release earlier in infection or impaired granular gland function in diseased animals. Using our temperature-dependent susceptibility results, we performed a geographic analysis that revealed N. viridescens populations in the northeastern United States and southeastern Canada are at greatest risk for Bsal invasion, which shifted risk north compared to previous assessments. Our results indicate that environmental temperature will play a key role in the epidemiology of Bsal and provide evidence that temperature manipulations may be a viable disease management strategy.

Author summary

In 2010, a new skin-eating fungus, Batrachochytrium salamandrivorans (Bsal), was discovered killing salamanders in the Netherlands. Since then, the pathogen has spread to other European countries. Bsal is believed to be from Asia and is being translocated through the international trade of amphibians. To our knowledge, Bsal has not arrived to North America. As a proactive strategy for disease control, we evaluated how a range of environmental temperatures in North America could affect invasion risk of Bsal into a widely distributed salamander species, the eastern newt (Notophthalmus viridescens). Our results show that northeastern USA, southeastern Canada, and the higher elevations of the Appalachian Mountains have the greatest likelihood of Bsal invasion, when temperature-dependent susceptibility is included in risk analyses. Changes in eastern newt susceptibility to Bsal infection associated with temperature are likely an interaction between pathogen replication rate and host immune defenses, including changes in skin microbiome composition and the host’s ability to produce Bsal-killing proteins on the skin. Our study provides new insights into how latitude, elevation and season can impact the epidemiology of Bsal, and suggests that strategies that manipulate microclimate of newt habitats could be useful in managing Bsal outbreaks and that climate change will impact Bsal invasion probability.

Introduction

The environment and interactions among organisms under local abiotic conditions are key factors underpinning the functional ecology and distribution of organisms [1]. In particular, temperature drives many ecophysiological processes that manifest in organismal vital rates (of both hosts and pathogens), and can influence population persistence and species distributions. Temperature influences organisms through various mechanisms, including metabolic and immunological pathways [2]. It also can drive interactions among organisms and microparasites [3]. Thus, environmental temperature is expected to affect host susceptibility to pathogens and epidemiological processes.

By their nature, the ecophysiology of ectothermic vertebrate species is strongly coupled with environmental temperature [2,4]. For example, environmental temperature affects many physiological processes in amphibians including immune function [5,6]. Temperature also drives the diversity of microbes on amphibian skin, which afford protection against many microparasites [7], and can affect the physiology and growth rate of microparasites [8]. Indeed, temperature is considered a primary factor influencing invasion probability of pathogens in ectothermic vertebrate populations [9,10].

In the last 20 years, two pathogenic skin fungi, Batrachochytrium dendrobatidis (Bd) and B. salamandrivorans (Bsal), have emerged globally in amphibian populations [11,12]. These fungi, which cause the disease chytridiomycosis, have recently been described as causing the greatest known loss of vertebrate biodiversity attributed to disease [13]. Bd has contributed to the decline of hundreds of frog species, while Bsal has caused devastating population impacts in several European salamander species since its initial description in 2013 [12,13,14,15]. New research suggests that Bsal has been in Europe since at least 2004 [16]. Scheele et al. [17] suggested that environmental variables are key to determining invasion risk of chytrid fungi.

Given the strong coupling between environmental temperature and Bd epidemiology [18], it is likely that temperature will influence Bsal disease dynamics. Bsal growth in culture occurs between 5–25°C [12,19]; however, it is expected that successful infection in vivo is more restrictive due to interactions with host immune defenses [20]. Previous studies with the European fire salamander (Salamandra salamandra) suggest temperature can affect the pathogenicity of Bsal [15,19,21], although possible mechanisms have not been identified. Several studies suggest that skin microbial communities play a large role in defending host species from cutaneous fungal pathogens, such as Bd [22,23], and temperature can affect the composition and antifungal function of microbes found on amphibian skin [22,2426]. Antimicrobial peptides, host-derived enzymes such as lysozymes, and antimicrobial products of symbiotic organisms also play an important role in host immune defense against Bd, and their functionality may be driven by temperature [5,27]. Understanding the impact of environmental temperature on the temporal and spatial niche of Bsal [28], and the immunological mechanisms that drive these relationships is fundamental to identifying geographic locations where pathogen invasion is most likely and to conceiving disease management strategies.

We undertook a multi-scale, transdisciplinary disease investigation to quantify the effects of three biologically relevant environmental temperatures (6, 14 and 22°C) on host susceptibility to Bsal infection and the development of chytridiomycosis. Given previous work on in vitro growth of Bsal and heat treatment of infected hosts [12,15,1921], we hypothesized that Bsal would be most pathogenic at 14°C and least pathogenic at 22°C. We expected intermediate results at 6°C, because Bsal replication occurs, albeit at a lower rate than at 14°C. Given the temperature dependent nature of amphibian immune function [5,27], we hypothesized that differences in host susceptibility would be driven in part by reduced innate immune response at colder exposure temperatures. Lastly, we hypothesized that we would observe temperature-dependent patterns in the skin microbiome as observed by others [7], possibly due to microbial thermal optima. We used our estimates of temperature-dependent susceptibility to map the invasion probability of Bsal into North America for a widely distributed host species, the eastern newt (Notophthalmus viridescens). We investigated temperature-dependent trends in susceptibility for adult and juvenile (eft) life stages for this species. Our results broadly inform possible biological feedbacks among environmental temperature, host immune defenses and susceptibility to pathogens, and will help with planning disease mitigation for the emerging fungal pathogen, Bsal.

Results

Survival and infection load

Dose-dependent mortality was observed at 6 and 14°C for both adult and eft N. viridescens, with 100% mortality at the two highest exposure doses (Fig 1 and S1 Table). No mortality was observed for adult N. viridescens exposed at 22°C; however, 67% of efts experienced mortality at this temperature at the highest zoospore dose (5x106). Survival duration for adult N. viridescens differed among temperatures for all zoospore doses, with the shortest survival duration experienced by those exposed to the highest zoospore dose. When holding dose constant, adult N. viridescens exposed at 14°C were approximately 11X (95% CI, 5.96, 20.171; P<0.001) more likely to die each day compared to those at 6°C. Across all doses, adult N. viridescens lived around 20 days longer at 6°C compared to those exposed at 14°C. Survival of efts was also temperature dependent, especially at the two highest zoospore exposure doses. Efts exposed at 14°C were approximately 3X (95% CI, 1.23, 6.78; P = 0.015) and >200X more likely to die each day than those exposed at 6 and 22°C, respectively. Keeping dose and temperature constant, adults were approximately 4X (95%CI, 2.67,6.75, P<0.001) more likely to die than efts (Fig 1 and S1 Table).

Fig 1. Survival curves representing the mortality rate of Notophthalmus viridescens held at 6, 14, and 22°C and exposed to four Batrachochytrium salamandrivorans doses (5x103-6 zoospores per 10 mL).

Fig 1

The survival curves for adult and eft (juvenile) N. viridescens are shown in the lower and upper panels, respectively.

For adult N. viridescens, Bsal zoospore load on their skin at necropsy was greater at 14°C compared to 6°C (Fig 2 and S2 Table). None of the adult N. viridescens exposed at 22°C developed detectable infections; however, infection was detected in 81% of efts. Bsal loads for efts exposed at 6 and 14°C were significantly greater than at 22°C (S2 Table and Fig 2).

Fig 2. Boxplots showing log-transformed Bsal zoospore copies/uL+1 estimated at necropsy from swab samples tested via qPCR.

Fig 2

Boxplots shown represent each zoospore exposure dose (5x103-6 per 10 mL) for each life stage (A) and temperature (B). Boxplots faceted by temperature and exposure dose are colored brown and orange in (A) representing adult and eft life stages, respectively. Boxplots faceted by life stage and exposure dose are colored blue, yellow and red in (B) representing 6, 14 and 22°C exposure temperatures, respectively. Significant Wilcoxon tests between exposure temperatures for each exposure dose are shown in (A) (ns = not significant, * = P<0.05, ** = P<0.01, *** = P<0.001). Significant Kruskal-Wallis tests are indicated in (B) (ns = not significant, * = P<0.05, ** = P<0.01, *** = P<0.001). Temperatures with unlike lowercase letters are significantly different.

We confirmed Bsal infection and chytridiomycosis in all N. viridescens that died using histopathology (Fig 3). We also confirmed the absence and presence of infection in N. viridescens that survived and tested qPCR negative and positive, respectively, for Bsal DNA.

Fig 3. Hematoxylin and Eosin stained sections of skin from Notophthalmus viridescens exposed to Batrachochytrium salamandrivorans (Bsal) zoospores (doses = 5x103-6 per 10 mL).

Fig 3

Fungal organisms (arrows) were observed invading the epidermis of juveniles (efts) at all temperatures, 6, 14, and 22°C (A, B and C, respectively), but only at 6 and 14°C for adults (D and E, respectively). No invasion was observed in adult skin exposed at 22°C, even at the highest dose of 5x106 Bsal zoospores (F).

Skin microbiome

Newt bacterial communities were composed predominantly of taxa from the phyla Proteobacteria and Bacteroidetes, and fungal communities were composed of taxa from the phyla Ascomycota, Basidiomycota, Blastocladiomycota, and Basidiobolomycota. Relative abundance of bacterial and fungal orders within these groups varied among temperatures (Fig 4A and 4D). For example, Flavobacterales (bacteria) and Blastocladiales (fungi) were more abundant on adult N. viridescens at 22°C compared to individuals at 6°C and 14°C.

Fig 4. Skin microbiomes of adult Notophthalmus viridescens housed at three experimental temperatures.

Fig 4

(A) Taxonomic composition of bacterial communities at the order level varied across temperatures; (B) sOTU richness of skin bacterial communities differed among temperatures; (C) Principal coordinates analysis (PCoA) of unweighted Unifrac distances showed differences in bacterial community composition between temperatures. Points are scaled by predicted Bsal-inhibitory function. Inset plot shows the same scaling factor (predicted Bsal-inhibitory function) across temperatures, with the horizontal lines denoting the median values. (D) Taxonomic composition of fungal communities at the order level varied across temperatures; (E) sOTU Richness of fungal communities differed among temperatures; (F) Principle coordinates analysis of binary Jaccard distances showed differences in fungal community composition between temperatures.

Bacterial community richness and phylogenetic diversity of adult N. viridescens skin bacterial communities differed among temperatures (Richness: LR χ2 = 120.3, P < 0.001, PD: LR χ2 = 94.8, P < 0.001), with individuals at 14°C having greater richness and diversity compared to those at 6 and 22°C (Fig 4B). Fungal richness also varied among temperatures (Richness: LR χ2 = 7.275, P = 0.026), with N. viridescens at 22°C having greater fungal richness compared to those at 14°C (z-ratio = 2.69, P = 0.02; Fig 4E). Skin bacterial and fungal community structure differed among temperatures (16S weighted Unifrac—R2 = 0.17, Pseudo-F = 12.8, P < 0.001, 16S unweighted Unifrac—R2 = 0.33, Pseudo-F = 31.7, P < 0.001, Fig 4C and ITS Jaccard: R2 = 0.085, Pseudo-F = 4.031, P < 0.001, Fig 4F). N. viridescens at 22°C exhibited more distinct communities compared to individuals at both 6 and 14°C. Similarly, the magnitude of difference in fungal community composition was greatest for N. viridescens at 22°C. Group dispersion also differed significantly among temperatures for bacterial (unweighted Unifrac, F124,2 = 21.54, P < 0.001) and fungal communities (F86,2 = 12.46, P < 0.001). For bacterial communities, dispersion at 14°C was significantly greater than at 22 and 6°C (P < 0.001). For fungal communities, dispersion was greater in both 14 and 6°C compared to those at 22°C (P <0.01). Predicted Bsal-inhibitory function differed significantly among temperatures, with N. viridescens at 22°C having the highest predicted function, followed by 6 and 14°C (LR χ2 = 13449.4, P < 0.001, Fig 4B).

The skin bacterial community structure of wild caught N. viridescens differed with Bd infection status (weighted Unifrac: R2 = 0.03, Pseudo-F = 3.13, P = 0.014; unweighted Unifrac: R2 = 0.03, Pseudo-F = 2.78, P = 0.001, Fig 5A), among seasons (R2 = 0.12, Pseudo-F = 6.78, P = 0.001, R2 = 0.09, Pseudo-F = 4.13, P = 0.001, Fig 5B), and in Bd-inhibitory predicted function (R2 = 0.06, Pseudo-F = 7.02, P = 0.001, R2 = 0.02, Pseudo-F = 2.39, P = 0.001). In the wild, Bd-infected N. viridescens and uninfected N. viridescens had significantly different microbiome structure (R2 = 0.07, Pseudo-F = 6.41, P = 0.001), spring was significantly different than summer (R2 = 0.13, Pseudo-F = 12.03, P = 0.003), and uninfected N. viridescens had higher Bd-inhibitory predicted function than infected individuals (LR χ2 = 9.51, P = 0.002).

Fig 5.

Fig 5

Skin microbiome community structure from wild adult Notophthalmus viridescens (n = 89) was plotted by PCoA of weighted Unifrac distances and examined for patterns with (A) Bd infection load (Uninfected = white to 3*106 = red), and (B) seasonal shifts in the microbiome. Each point represents an individual newt microbiome and is size-scaled based on the relative abundance of predicted Batrachochytrium-inhibitory function. Predicted inhibitory function was greatest in the summer and for uninfected N. viridescens.

Skin proteins and peptides

Total skin secretion protein recovery at 6°C, measured as μg collected corrected by newt body weight in grams (ug/gbw), was greater than at 22°C for adult control N. viridescens (Fig 6A–6C and S3 Table). No differences were detected among temperatures in hydrophobic molecule recovery, percent inhibition, or effectiveness for control N. viridescens (S1 Fig). At 6°C, recovered hydrophobic molecules were greater (ug/gbw) in control N. viridescens compared to exposed N. viridescens, but no differences were detected in recovered total proteins (Fig 7).

Fig 6. Skin proteins recovered and inhibition of Bsal zoospore viability by total skin secretions from adult Notophthalmus viridescens not exposed to Bsal.

Fig 6

(A) Total proteins recovered by temperature corrected for body mass (ANOVA; F2,24 = 4.08, P = 0.03; see S1 Table for post-hoc analysis), (B) Percent inhibition of Bsal zoospore viability by concentrated skin secretions (500 μg/mL) by temperature when challenged in a CellTiter-Glo assay (ANOVA; F2,21 = 0.04, P = 0.96), (C) Protein effectiveness (total recovered proteins x percent inhibition of Bsal) for three temperatures (Kruskal-Wallis rank-sum test; χ22 = 4.57, P = 0.10). Numbers in brackets indicate sample size.

Fig 7.

Fig 7

Concentrations of (A) recovered proteins and (B) recovered hydrophobic molecules from adult Notophthalmus viridescens skin secretions corrected for body mass (μg/gbw), with increasing Bsal zoospore (zsp) exposure doses in comparison with controls (no exposure). All N. viridescens were held at 6°C. There was no effect of Bsal exposure dose on the amount of total proteins recovered (A: ANOVA; F2,22 = 0.72, P = 0.50). Bsal exposure dose had a significant effect on the amount of putative hydrophobic peptides recovered from skin secretions (B: ANOVA; F2,21 = 5.11, P = 0.02). Tukey Multiple Comparison test indicated that unexposed (control) N. viridescens had significantly more peptides recovered than those exposed to Bsal. Numbers in brackets indicate sample size.

Temperature adjusted Bsal habitat suitability modeling

Invasion risk of Bsal into N. viridescens populations in North America, adjusting for temperature-dependent susceptibility, indicated that the greatest risk is in the northeastern United States and southeastern Canada, and along the higher elevations of the Appalachian Mountains (Fig 8). These results also suggest there could be seasonal fluctuations in outbreaks, where geographic locations that exceed 22°C, could be at lower risk (e.g., southeastern United States).

Fig 8. Invasion risk of Bsal into Notophthalmus viridescens populations in North America, adjusting for temperature-dependent susceptibility.

Fig 8

Red indicates increasing risk, while light-colored areas indicate low invasion risk. Regions shaded white are outside of the N. viridescens range.

Discussion

Similar to research with European S. salamandra [15,19,21], our results suggest environmental temperature plays a critical role in the epidemiology of Bsal, which could manifest into geographic variation in outbreaks [19]. Bsal invasion into N. viridescens populations in North America is expected to be greatest in the northeastern United States and southeastern Canada, and at the higher elevations of the Appalachian Mountains where the species is present. Previous risk analyses suggested that the southeastern United States was at greatest risk of Bsal invasion [29,30]; however, these analyses did not consider the impacts of temperature on species susceptibility. Our results suggest that climate change could impact Bsal invasion risk and geographic spread [31]. They also suggest that habitat manipulations that increase water temperature (e.g., tree canopy reduction) might be a viable Bsal management strategy [32], although the influence of fine-scale temperature manipulations on likelihood of Bsal invasion needs to be explored.

Temperature-dependent susceptibility to Bsal also could manifest into seasonal fluctuations in outbreaks [19]. Although seasonal trends Bsal chytridiomycosis have not been reported yet in Europe, silent declines could be occurring in autumn and winter without detection because many salamander species reduce activity, become fossorial, or use deeper locations of water bodies when temperatures become colder [33]. Indeed, Beukema et al. [19] reported that Bsal growth on salamanders in Europe followed temperature-dependent trends. If seasonality plays a role in Bsal epidemiology, it is possible that outbreaks in N. viridescens populations could decrease during summer months and increase as winter approaches. Further, N. viridescens at 6 and 14°C experienced >90% mortality but died 1.4X slower at the lower temperature. Thus, infected individuals could remain on the landscape for longer duration, increasing opportunity for disease spread and death during winter, analogous to a “White Walker Effect” (sensu HBO Game of Thrones). In contrast, we observed limited infection and mortality at 22°C, suggesting that monitoring for Bsal infection and outbreaks should be concentrated in geographic regions where and during months when average ambient temperature is <22°C.

Several mechanisms may have been responsible for the temperature-dependent trends we observed in N. viridescens susceptibility to Bsal. Although we did not measure in vitro growth, others have demonstrated maximum growth of Bsal at 15°C, and growth decreased by 70% at 22°C and 50% at 5°C. Therefore, Bsal replication rate could have played a role in both the near lack of disease at 22°C and reduced mortality rate at 6°C compared to 14°C. At 22°C, Martel et al. [12] also reported that motile zoospores in culture were not observed; reduced zoospore motility is associated with reduced pathogenicity of Bd [34]. Indeed, heat treatment of S. salamandra for 10 days at 25°C has been shown to clear Bsal infections [20]. Beukema et al. [19] also showed that salamanders exposed to Bsal in thermal gradient enclosures and regulated their temperatures between 17.5 and 21.6°C did not become infected, which they attributed in part to inhibition of Bsal growth.

While clearly pathogen replication rates can impact survival of infected hosts [35], temperature-dependent trends in susceptibility also could be related to host immune defenses. We found that microbial community composition on the skin of N. viridescens differed among temperatures. Most notably, the relative abundance of bacteria inhibitory to Bsal at 22°C was greater compared to the lower temperatures in both our laboratory experiments and field surveys, suggesting that temperature-mediated shifts in skin microbiome may contribute to host protection. Previous studies have shown the bacterial community on amphibian skin can influence host survival when exposed to fungal pathogens [3638]. Increased fungal diversity at 22°C could also contribute to host protection, as many fungi produce inhibitory compounds [39]. Interestingly, we found that total proteins recovered on the skin of N. viridescens were lowest at 22°C and no differences were detected in hydrophobic peptides production among temperatures. Thus, reduced host susceptibility to Bsal at higher temperatures is likely an interaction between shifts in microbiome composition and pathogen replication rates rather than antimicrobial skin secretions produced by the host [12,19].

In contrast to our hypothesis, N. viridescens were able to produce substantial antimicrobial secretions even at the coldest temperature. Total recovered proteins on N. viridescens skin at 6°C were greater than at 14 and 22°C, which may have resulted in greater inhibition of Bsal zoospores and slowed the rate of disease progression at 6°C. Proteins produced by amphibians or in the metabolites of resident skin microbes can have inhibitory effects on Bd [40,41]. The skin microbiome was similar between 6°C and 14°C, hence it was likely not a mechanism influencing differences in mortality rate at these temperatures.

A component of defensive skin secretions in many frog species includes low mass hydrophobic peptides [41]. Much less is known about defensive peptides or proteins in the secretions of salamanders [4244]. At 6°C, the amount of defensive hydrophobic molecules produced after two months exposure to Bsal was approximately 5X less than in control N. viridescens, suggesting that available defensive molecules were released from granular glands during early stages of infection, and supporting the hypothesis of reduced growth of Bsal at 6°C. It also is possible that defensive peptide production became impaired later in infection, because Bsal can invade the granular glands and possibly disrupt function [45]. Collectively, these results suggest that the putative hydrophobic peptide component of skin defenses may be most effective during initial phases of Bsal infection, but that chronic infections, such as those occurring at 6°C, can eventually overwhelm salamander host defenses.

Although adult N. viridescens died slower at 6°C than at the other temperatures, they also died at lower pathogen burdens suggesting lower infection tolerance [46]. On average, N. viridescens at 6°C had 4X lower Bsal loads on their skin at necropsy compared to those exposed at 14°C, which is a similar trend with S. salamandra [15]. Amphibians subjected to cold temperatures may experience immunosuppression leading to decreased infection tolerance [4749]. Several Bd challenge experiments have demonstrated temperatures below the optimal in vitro growth temperature for Bd (17–23°C) can cause high host mortality at lower infection intensities [3,5052]. These studies suggested that reduced mortality and higher Bd infection intensity at higher exposure temperatures were in part due to temperature-dependent infection tolerance of hosts. Thus, even though Bsal growth is slower and inhibitory proteins on newt skin are greater at temperatures below 14°C, their ability to tolerate skin damage may be less as ambient temperature drops, contributing to the White Walker Effect. It is also possible that cooler temperatures create more ideal conditions for secondary bacterial infections through the necrotic ulcerations that Bsal creates [53].

Efts followed similar temperature-dependent infection and survival trends, although they on average died approximately 1.4X slower than adults, suggesting that life stages may play a role in Bsal epidemiology, as also seen with Bd and ranaviruses [18,54]. The mechanisms driving the difference in susceptibility between life stages are unknown (i.e., we did not measure immune defenses in efts), but may be influenced by habitat conditions, tetrodotoxin (TTX) in their skin, or skin microbial composition and function. Adult and eft N. viridescens were housed in containers with water and moist paper towel, respectively, similar to their natural aquatic and terrestrial habitats. It is possible that aquatic environments facilitated reinfection and disease progression due to release of flagellated zoospores that transmit efficiently through water [12]. N. viridescens efts also have approximately 10X the concentration of TTX in their skin as adults [55]. While TTX does not appear to have direct effects on Bsal growth (DCW, unpubl. data), it might interact with the skin microbiome to create more Bsal-inhibitory effects [56,57]. Lastly, efts and adults were collected in different U.S. states (Pennsylvania and Tennessee, respectively) due to availability, hence it is possible that immunological co-factors associated with geography played a role in affecting Bsal susceptibility.

Collectively, our results demonstrate environmental temperature will be a critical determinant of Bsal disease dynamics for N. viridescens and possibly other amphibians. Given that N. viridescens are distributed across most of eastern North America, invasion risk will likely vary among seasons, latitudes, and elevations similar predictions in Europe [19]. Our results possibly provide support for the chytrid thermal optimum hypothesis [58]; however, more research is needed. Although the temperatures used in our experiments are environmentally relevant for eastern North America, they do not reflect the expected variation that N. viridescens could experience in a day or among months. Indeed, future experiments should explore the role of temperature variation on susceptibility to Bsal and impacts on host immune response. Further, support for the thermal mismatch hypothesis should be explored [3,59].

Materials and methods

Ethics statement

All husbandry and euthanasia procedures followed recommendations provided by the American Veterinary Medical Association and the Association of Zoos and Aquariums. All animal procedures were approved by the University of Tennessee Institutional Animal Care and Use Committee under protocol #2623. N. viridescens that reached euthanasia endpoints were humanely euthanized via water bath exposure to benzocaine hydrochloride.

Animal challenge experiments and analyses

The model species we used was Notophthalmus viridescens (eastern newts), which is one of the most widely distributed amphibian species in North America [60], and is susceptible to Bsal chytridiomycosis [61,62]. This species has two distinct post-metamorphic life stages: terrestrial juvenile (called an eft) and aquatic adult [63]. Efts can remain terrestrial for up to seven years before returning to aquatic sites to breed as adults [63]. Given this complex life cycle and the significant role both could play in Bsal epidemiology, we decided to tested the susceptibility of both life stages. Based on availability, we collected adult and eft N. viridescens from aquatic and terrestrial habitats in Tennessee and Pennsylvania, respectively (TN Scientific Collection Permit #1504 and PA Scientific Collection Permit 2019-01-0082). Upon arrival to the laboratory, we heat-treated all N. viridescens for 10 days at 30°C to clear any potential preexisting Bd infections [64,65], because chytrid coinfections could influence Bsal disease outcomes [62]. Prior infection with Bd and subsequent clearing, however, does not seem to influence susceptibility to Bsal infection in N. viridescens [62]. We confirmed that all N. viridescens were Bd negative by testing pre-trial skin swabs using quantitative polymerase chain reaction (qPCR) methods similar to those described in Boyle et al [66] and following the same genomic DNA extraction methods described below. The pre-trial skin swabs and all swabs collected following Bsal exposure consisted of 10 firm ventral passes along the salamander’s abdomen followed by 10 swipes on the bottom of each foot. After heat treatment, N. viridescens were acclimated for one week to one of three temperatures (6, 14 and 22°C), which corresponded to average ambient temperatures during winter, spring/autumn, and summer, respectively, in mid-latitudinal North America [67].

We followed a standard protocol for host-pathogen challenges using a multidose-response experiment to evaluate how N. viridescens susceptibility and Bsal pathogenicity were influenced by temperature [68,69]. For the adult experiments, we randomly assigned 10 animals to one of four exposure doses (5x103, 5x104, 5x105 and 5x106 Bsal zoospores per 10 mL) and assigned five animals as controls (n = 45 for each temperature trial; S1 Table). We performed each temperature experiment within a Conviron environmental growth chamber (Winnipeg, Canada) set to the target temperature and light/dark cycles reflecting the corresponding season (winter = 8 hours light; spring/autumn = 10 hours; summer = 12 hours light). We housed adult N. viridescens individually in sterilized circular 2000-cm3 containers that had 300 mL of water and a semicircular PVC cover object. The container and water were changed every three days, and we fed the salamanders bloodworms (Chironomus plumosus) at 2% of their body mass 24 hours prior to each water change.

Efts were randomly assigned to the same exposure doses used for the adults, but sample sizes were smaller (n = 5–6 animals per dose, S1 Table) due to availability. Unlike the aquatic adults, efts live in terrestrial habitats, hence they were housed in sterilized 710-cm3 containers that included a moist paper towel and PVC cover object. We changed each eft’s container, paper towel, and PVC cover object every 3 days. All animals were fed 2% of their body mass in fruit flies (Drosophila melanogaster) every 3 days.

The Bsal we used was isolated (isolate AMFP13/1, [12]) from a morbid S. salamandra in the Netherlands. We maintained Bsal cultures at the University of Tennessee and enumerated zoospores following methods described in Carter et al.[68]. All animals were exposed for 24 hrs to their randomly assigned zoospore dose, and controls were inoculated with autoclaved dechlorinated water [68].

The experiments lasted between 45 and 90 days, which has been shown to be a sufficient duration for Bsal chytridiomycosis to develop [19,62,68]. We humanely euthanized animals after the loss of righting reflex, which is a terminal endpoint to Bsal chytridiomycosis. As such, we recorded individuals that were euthanized prior to the end of an experiment as mortality events for data analyses.

To detect infection and estimate pathogen loads, we swabbed each individual every six days and at necropsy. Quantitative PCR was run on each swab following methods described in Carter et al.[68]. We stained cross-sections of the skin with hematoxylin and eosin stain to confirm Bsal infection and chytridiomycosis [70].

We used Kaplan-Meier survival analysis to test for differences in mortality rates among Bsal doses for each temperature and between temperatures for each dose. Kaplan-Meier survival analyses were also used to test for differences between the life stages (adults vs. efts) exposed to the same dose at the same temperature. We used Cox-proportional hazard models to robustly estimate the magnitude of difference between life stages, temperatures, and doses that were significantly different. All analyses were performed using the “survival” package in R (version 3.5.3, [71]), and significant differences declared at α = 0.05.

To understand the relationship between temperature and pathogen burden on infected hosts, we estimated Bsal loads (DNA copies/uL) at necropsy and compared among doses and temperatures using Kruskal-Wallis tests, because the data did not follow a normal distribution [72]. Wilcoxon signed-rank tests that were Bonferroni corrected were used for pairwise comparisons of treatments if the Kruskal-Wallis test was significant [72].

Microbiome analyses

We quantified differences in skin bacterial and fungal communities among temperatures for adult N. viridescens by sequencing extracted gDNA from swabs taken after one-week acclimation to temperatures but prior to Bsal exposure. We also sampled 89 adult N. viridescens in the wild at Camp Johnson (Colchester, Vermont, USA) and Ethan Allen (Underhill, Vermont) across seasons and evaluated the microbiome in relation to Bd-infection (VT Scientific Collection Permit #SR-2016-17; see S1 Text for details). We PCR-amplified the V4 region of the 16S rRNA gene for bacterial communities and the ITS1 region for fungal communities with single index barcoded primers (bacterial: 515f–806r, fungal: ITS1f-ITS2r) as described in the Earth Microbiome Protocol (EMP, 2018) with a few modifications to increase PCR efficiency. The PCR cycle conditions followed Bletz et al. [73] for bacterial community amplification and the EMP for fungal communtiy amplification. PCR products were purified and equalized using the Omega Biotek MagBead Normalization Kit (Omega biotek, Norcross, GA USA). We pooled equal-molar PCR products and these were sequenced on an Illumina MiSeq (Illumina, San Diego, CA USA) at University of Massachusetts Boston using 2x250 paired-end v2 chemistry kit.

We processed sequence data in Quantitative Insights into Microbial Ecology 2 (QIIME2, Bolyen et al. [74]). Briefly, we demultiplexed, quality filtered (minimum q-score of 10), and clustered raw sequence data into sub-Operational Taxonomic Units (sOTU) using deblur for bacterial communities [75] and DADA2 for fungal communities [76]. For ITS data, we trimmed the conserved flanking regions from sequences using ITSxpress as recommended for amplicon sequencing [77,78]. After filtering, 1,242,115 bacterial 16S sequence reads remained (average: 9,269.5 reads/sample) representing 1,142 sOTUs and 895,217 fungal ITS reads (average 6,781.9 reads/sample) and 1,901 ASVs. We subsequently rarefied all samples at 5,000 reads per sample for bacteria and 1,000 reads for fungal communities to adequately capture sample diversity and retain the majority of sequenced samples. We assigned taxonomy with classify-sklearn [79], built a phylogenetic tree using mafft and fasttree2 [80], and calculated alpha and beta diversity metrics (sOTU richness and Faith’s phylogenetic diversity), weighted and unweighted UniFrac metrics (16S only), and Bray-Curtis and binary Jaccard metrics in QIIME2.

Statistical analysis and visualizations were performed in R [81]. We used generalized linear mixed models (GLMMs) to compare alpha diversity across temperatures (including collection site as a random effect; [82]), and completed pairwise post-hoc tests using the “emmeans” package. To compare beta diversity among temperatures, we performed permutational multivariate analysis of variance (PERMANOVA), and performed pairwise post-hoc tests using the pairwiseAdonis() function [83]. We tested for multivariate homogeneity of variance (i.e., group dispersion) using the betadisper() function [84].

We predicted Bsal-inhibitory function using a custom-made database containing 16S rRNA sequences from amphibian skin bacteria (including eastern N. viridescens) that have been tested for functional activity against Bsal [40,53]. We determined which sOTUs in the dataset potentially had Bsal-inhibitory function by clustering sOTU data from the Illumina amplicon sequencing at a 99% similarity threshold to the sequences of the strictly inhibitory cultures in the database. Subsequently, we calculated the relative abundance of this function (i.e., proportion of "inhibitory" reads with respect to the full, rarefied community) and richness of Bsal-inhibitory sOTUs, and compared these values among temperatures using GLMMS. Similarly, field sampled N. viridescens microbiomes were examined for anti-Bd function by matching reads to sequences from approximately 7000 cultures tested against Bd [40]. Importantly, we acknowledge that the function of microbial secondary metabolites can differ among Bd isolates [85], and 16S rRNA sequences do not faithfully indicate secondary metabolite production, though function may be a phylogenetically conserved trait [86]. Thus, ascribing function of microbial communities comes with uncertainty, but may be useful for between-group comparisons [87].

Defensive proteins and peptide analyses

We quantified and compared total proteins in lyophilized skin secretions and hydrophobic molecules enriched by C18 Sep-Pak passage from the skin of adult N. viridescens among the three target temperatures for control and exposed animals that survived to the end of the experiment. These N. viridescens were a subset of those described above; however, they were collected from the same site, treated identically (except they were not swabbed), and tested at the same time. To induce the release of skin secretions, we injected acetylcholine (ACh) at 25 nmol per gram body mass using a 1 mL tuberculin syringe with a 25-gauge needle. After injections, we transferred the N. viridescens to a sterile sample bag containing 15 mL of HPLC-grade water and immersed them for 15 minutes to collect secretions. We split the water into two fractions: one which was immediately frozen at -20°C after taking a small sample for protein quantification, and another that was acidified with concentrated trifluoroacetic acid (TFA, 1% by volume) to inhibit proteases. Protein content of the frozen sample was quantified using the Thermo Scientific microBCA protein-assay kit with Bovine Serum Albumin (BSA) as a protein standard (66.5 kDa). The frozen samples were lyophilized and rehydrated to a concentration of 1 mg/mL protein content in HPLC-grade water. The acidified samples were enriched for hydrophobic molecules using Waters Sep-Pak C18 cartridges (Waters Corporation, Milford, MA, USA), and a small volume of enriched product was removed for quantification. We then dehydrated the samples by vacuum centrifugation. The samples containing possible hydrophobic peptides were quantified by microBCA using bradykinin as a standard (~1kDa) as previously described [41,88]. All hydrophobic samples were reconstituted to 1 mg/mL in HPLC water. All protein and putative peptide samples were stored at -20°C until tested in zoospore inhibition assays.

To determine the effect of the lyophilized total skin secretions on the viability of Bsal zoospores, we used the Promega CellTiter-Glo Luminescent Cell Viability Assay (Promega Corporation, Madison, WI, USA). For each assay, 25 μL of zoospores (1x106 zoospores/mL) was added to 25 μL of the skin secretions (500 μg/ml final concentration) in triplicate for one hour, and the reactions were treated with the CellTiter-Glo reagent. After 15 minutes of incubation, luminescence was determined using a BioTek Synergy 2 plate reader (Biotek Instruments, Winooski, VT, USA). Percent inhibition of Bsal was determined by comparing the luminescence of samples in which Bsal zoospores were challenged with skin secretions to the luminescence in an unchallenged live Bsal zoospore control.

To determine the effect of the hydrophobic fraction of newt skin secretions on the viability of Bsal zoospores, we conducted growth inhibition assays as previously described for Bd zoospores with minor changes [89]. Briefly, three replicates of 5 x104 zoospores in 50 μL of TGhL broth (16 g tryptone, 4 g gelatin hydrolysate, 2 g lactose per liter of distilled water) were incubated with 50 μL of enriched hydrophobic skin fraction in TGhL broth at final concentrations of 500, 250, 125, 62.5, 31.25, 15.6, and 7.8 μg/mL for seven days. The assay plates were read for absorbance at 490 nm on a BioTek Synergy 2 plate reader. Percent inhibition of Bsal by hydrophobic fraction was determined by comparing the absorbance of samples in which zoospores were challenged with skin secretions to the absorbance in a Bsal control growing in broth only.

For control N. viridescens, we used analysis-of-variance (ANOVA) to test for differences among temperatures in lyophilized skin secretions and hydrophobic molecules recovered, and in percent inhibition of Bsal zoospores. To test for differences in effectiveness of the lyophilized proteins or enriched hydrophobic fractions of skin secretions (i.e., the product of recovery and percent inhibition) among temperatures, we used either ANOVA or a Kruskal-Wallis rank-sum test. For 6°C N. viridescens, we were also able to use ANOVA to test if total lyophilized skin secretions and putative hydrophobic peptides that were recovered differed between control and exposed N. viridescens for the two lowest zoospore doses, which was the only temperature and doses that N. viridescens became infected and survived for sufficient duration to allow comparison with control animals. Tukey’s multiple comparison method were used for ANOVA post-hoc comparisons.

Temperature adjusted Bsal habitat suitability modeling

We downloaded the N. viridescens species distribution polygon from the IUCN website (IUCN, 2020), and used the polygon to raster function from ArcMap 10.7 to create a raster layer representing the N. viridescens range across the United States and Canada. We combined the N. viridescens distribution raster with average and maximum temperature raster data downloaded from Worldclim.org representing historical climate data (1970–2010). The resulting raster table was exported to R. Following methods described in [29], we created a Bsal habitat suitability score for each raster cell within the N. viridescens range. Our analyses differed from Richgels et al. [29] in that we scored the temperature component of Bsal habitat suitability using the survival data from the 6, 14 and 22°C adult exposure experiments, such that greater mortality of N. viridescens corresponded with higher Bsal suitability. Additional details on these analyses are provided in S1 Text.

Supporting information

S1 Table. Percentage mortality, median days survival and results of Kaplan-Meier survival analysis performed on each experiment (Days Survival ~ Dose), between temperature at the same dose (Days Survival ~ Temperature), and between life-stages at the same dose and temperature (Days Survival~Life-stage) for Notophthalmus viridescens exposed to Batrachochytrium salamandrivorans.

(DOCX)

S2 Table. Batrachochytrium salamandrivorans (Bsal) copies/uL by life-stage, exposure temperature, and exposure dose (per 10 mL) showing percentage of Notophthalmus viridescens infected at necropsy, Bsal copies/uL means (x¯), medians (x˜) and standard deviations (SD).

(DOCX)

S3 Table. Tukey multiple comparison of means performed on total proteins recovered from adult Notophthalmus viridescens skin between temperatures corrected by body mass (from Fig 6A).

(DOCX)

S1 Fig. Putative hydrophobic peptides recovered and inhibition of Batrachochytrium salamandrivorans (Bsal) zoospore viability by skin secretions from adult Notophthalmus viridescens not exposed to Bsal (i.e., controls).

(A) Hydrophobic peptides recovered among temperature treatments corrected for body mass (ANOVA; F2,23 = 0.48, P = 0.62). (B) Percent inhibition of Bsal zoospore viability by concentrated hydrophobic peptides (250 μg/mL) among temperatures when challenged in a growth inhibition assay (F2,14 = 0.99, P = 0.40). (C) Peptide effectiveness (total recovered peptides x percent inhibition of Bsal) among three temperatures (ANOVA; F2,14 = 0.55, P = 0.59). Numbers in brackets indicate the number of N. viridescens sampled.

(DOCX)

S1 Text. Additional methods on microbiome and Batrachochytrium salamandrivorans suitability analyses.

(DOCX)

Acknowledgments

We thank Dr. Bobby Simpson and Alex Anderson of the University of Tennessee East Tennessee Research and Education Center for providing laboratory faculties and support. We also thank M. Bohanon, B. Bajo, K. Ash, A. Tompros, D. Malagon, R. Kumar, B. Augustino, P. Cusaac, A. Peterson, and C. Sheets for assistance with animal care and data collection, and W. Siniard and C. Yarber for assisting with histology slide preparation.

Data Availability

All data not provided in the manuscript is available https://doi.org/10.7290/t7SaLlfxxe.

Funding Statement

MJG, DLM, DCW, and LAR-S received funds from the National Science Foundation Division of Environmental Biology (Ecology and Evolution of Infectious Diseases Program, https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5269) Grant #1814520. DCW and LAR-S were partially supported by the U.S. Department of Defense Strategic Environmental Research and Development Program (https://www.serdp-estcp.org/) Grant #W912HQ-16-C-0033). MJG and DLM were supported by U.S. Department of Agriculture National Institute of Food and Agriculture (https://nifa.usda.gov/program/hatch-act-1887-multistate-research-fund), Hatch Project #1012932. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Kraft NJB, Adler PB, Godoy O, James EC, Fuller S, Levine JM. Community assembly, coexistence and the environmental filtering metaphor. Functional Ecology. 2015;29(5):592–529. [Google Scholar]
  • 2.Wells DK. The Ecology and Behavior of Amphibians: World Scientific; 2007. [Google Scholar]
  • 3.Cohen JM, Venesky MD, Sauer EL, Civitello DJ, McMahon TA, Roznik EA, et al. The thermal mismatch hypothesis explains host susceptibility to an emerging infectious disease. Ecology Letters. 2017;20(2):184–193. 10.1111/ele.12720 [DOI] [PubMed] [Google Scholar]
  • 4.Feder ME, Burggren WW. Environmental physiology of the amphibians: University of chicago Press; 1992. [Google Scholar]
  • 5.Rollins-Smith LA. Global amphibian declines, disease, and the ongoing battle between Batrachochytrium fungi and the immune system. Herpetologica. 2020; 76(2):178–188. [Google Scholar]
  • 6.Rollins-Smith LA, Woodhams DC. Amphibian immunity: Oxford University Press; New York; 2012. [Google Scholar]
  • 7.Kueneman JG, Bletz MC, McKenzie VJ, Becker CG, Joseph MB, Abarca JG, et al. Community richness of amphibian skin bacteria correlates with bioclimate at the global scale. Nature Ecology & Evolution. 2019;3(3):381–389. 10.1038/s41559-019-0798-1 [DOI] [PubMed] [Google Scholar]
  • 8.Woodhams DC, Alford RA, Briggs CJ, Johnson M, Rollins-Smith LA. Life-history trade-offs influence disease in changing climates: strategies of an amphibian pathogen. Ecology. 2008;89(6):1627–1639. 10.1890/06-1842.1 [DOI] [PubMed] [Google Scholar]
  • 9.Kriger KM, Hero JM. Large-scale seasonal variation in the prevalence and severity of chytridiomycosis. Journal of Zoology. 2007;271(3):352–359. [Google Scholar]
  • 10.Murray KA, Retallick RWR, Puschendorf R, Skerratt LF, Rosauer D, McCallum HI, et al. Assessing spatial patterns of disease risk to biodiversity: implications for the management of the amphibian pathogen, Batrachochytrium dendrobatidis. Journal of Applied Ecology. 2011;48(1):163–173. [Google Scholar]
  • 11.Longcore J, Pessier A, Nichols D. Batrachochytrium dendrobatidis gen. et sp. nov., a chytrid pathogenic to amphibians. Mycologia. 1999;91(2):219–227. [Google Scholar]
  • 12.Martel A, Spitzen-van der Sluijs A, Blooi M, Bert W, Ducatelle R, Fisher MC, et al. Batrachochytrium salamandrivorans sp nov causes lethal chytridiomycosis in amphibians. Proceedings of the National Academy of Sciences of the United States of America. 2013;110(38):15325–15329. 10.1073/pnas.1307356110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Scheele BC, Pasmans F, Skerratt LF, Berger L, Martel A, Beukema W, et al. Amphibian fungal panzootic causes catastrophic and ongoing loss of biodiversity. Science. 2019;363(6434):1459–1463. 10.1126/science.aav0379 [DOI] [PubMed] [Google Scholar]
  • 14.Martel A, Vila-Escale M, Fernández-Giberteau D, Martinez-Silvestre A, Canessa S, Van Praet S, et al. Integral chain management of wildlife diseases. Conservation Letters. 2020:e12707. [Google Scholar]
  • 15.Stegen G, Pasmans F, Schmidt BR, Rouffaer LO, Van Praet S, Schaub M, et al. Drivers of salamander extirpation mediated by Batrachochytrium salamandrivorans. Nature. 2017;544(7650):353–356. 10.1038/nature22059 [DOI] [PubMed] [Google Scholar]
  • 16.Lötters S, Veith M, Wagner N, Martel A, Pasmans F. Bsal-driven salamander mortality pre-dates the European index outbreak. Salamandra. 2020;56:239–242. [Google Scholar]
  • 17.Scheele BC, Foster CN, Hunter DA, Lindenmayer DB, Schmidt BR, Heard GW. Living with the enemy: Facilitating amphibian coexistence with disease. Biological Conservation. 2019;236:52–59. [Google Scholar]
  • 18.Sauer EL, Cohen JM, Lajeunesse MJ, McMahon TA, Civitello DJ, Knutie SA, et al. A meta-analysis reveals temperature, dose, life stage, and taxonomy influence host susceptibility to a fungal parasite. Ecology. 2020; 101(4):e02979 10.1002/ecy.2979 [DOI] [PubMed] [Google Scholar]
  • 19.Beukema W, Pasmans F, Van Praet S, Ferri-Yáñez F, Kelly M, Laking AE, et al. Microclimate limits thermal behaviour favourable to disease control in a nocturnal amphibian. Ecology Letters. 2020. [DOI] [PubMed] [Google Scholar]
  • 20.Ribas L, Li MS, Doddington BJ, Robert J, Seidel JA, Kroll JS, et al. Expression profiling the temperature-dependent amphibian response to infection by Batrachochytrium dendrobatidis. PLOS ONE. 2009;4(12):e8408 10.1371/journal.pone.0008408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Blooi M, Martel A, Haesebrouck F, Vercammen F, Bonte D, Pasmans F. Treatment of urodelans based on temperature dependent infection dynamics of Batrachochytrium salamandrivorans. Scientific Reports. 2015;5:8037 10.1038/srep08037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Bernardo-Cravo AP, Schmeller DS, Chatzinotas A, Vredenburg VT, Loyau A. Environmental factors and host microbiomes shape host–pathogen dynamics. Trends in Parasitology. 2020. 10.1016/j.pt.2020.04.010 [DOI] [PubMed] [Google Scholar]
  • 23.Walke JB, Belden LK. Harnessing the microbiome to prevent fungal infections: lessons from amphibians. PLoS pathogens. 2016;12(9):e1005796–e. 10.1371/journal.ppat.1005796 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Daskin JH, Bell SC, Schwarzkopf L, Alford RA. Cool temperatures reduce antifungal activity of symbiotic bacteria of threatened amphibians–implications for disease management and patterns of decline. PLOS ONE. 2014;9(6). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Muletz-Wolz CR, Almario JG, Barnett SE, DiRenzo GV, Martel A, Pasmans F, et al. Inhibition of fungal pathogens across genotypes and temperatures by amphibian skin bacteria. Frontiers in Microbiology. 2017;8:1551 10.3389/fmicb.2017.01551 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Bletz MC, Perl RGB, Bobowski BTC, Japke LM, Tebbe CC, Dohrmann AB, et al. Amphibian skin microbiota exhibits temporal variation in community structure but stability of predicted Bd-inhibitory function. The ISME Journal. 2017;11(7):1521–1534. 10.1038/ismej.2017.41 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rollins-Smith LA, Ramsey JP, Pask JD, Reinert LK, Woodhams DC. Amphibian immune defenses against chytridiomycosis: impacts of changing environments. Integrative Comparative Biology. 2011;51(4):552–562. 10.1093/icb/icr095 [DOI] [PubMed] [Google Scholar]
  • 28.Martinez-Bakker M, Helm B. The influence of biological rhythms on host–parasite interactions. Trends in ecology & evolution. 2015;30(6):314–326. 10.1016/j.tree.2015.03.012 [DOI] [PubMed] [Google Scholar]
  • 29.Richgels KLD, Russell RE, Adams MJ, White CL, Grant EHC. Spatial variation in risk and consequence of Batrachochytrium salamandrivorans introduction in the USA. Royal Society Open Science. 2016;3(2). 10.1098/rsos.150616 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Yap TA, Koo MS, Ambrose RF, Wake DB, Vredenburg VT. Averting a North American biodiversity crisis. Science. 2015;349(6247):481–482. 10.1126/science.aab1052 [DOI] [PubMed] [Google Scholar]
  • 31.Cohen JM, Civitello DJ, Venesky MD, McMahon TA, Rohr JR. An interaction between climate change and infectious disease drove widespread amphibian declines. Global Change Biology. 2019;25(3):927–937. 10.1111/gcb.14489 [DOI] [PubMed] [Google Scholar]
  • 32.Daskin JH, Alford RA, Puschendorf R. Short-term exposure to warm microhabitats could explain amphibian persistence with Batrachochytrium dendrobatidis. PLOS ONE. 2011;6(10). 10.1371/journal.pone.0026215 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Wells KD. Temperature Relations The Ecology and Behavior of Amphibians. Chicago, Illinois: The University of Chicago Press; 2007. p. 148–156. [Google Scholar]
  • 34.Stockwell MP, Clulow J, Mahony MJ. Sodium chloride inhibits the growth and infective capacity of the amphibian chytrid fungus and increases host survival rates. PLOS ONE. 2012;7(5):e36942 10.1371/journal.pone.0036942 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Porco TC, Lloyd-Smith JO, Gross KL, Galvani AP. The effect of treatment on pathogen virulence. Journal of Theoretical Biology. 2005;233(1):91–102. 10.1016/j.jtbi.2004.09.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Becker MH, Harris RN, Minbiole KPC, Schwantes CR, Rollins-Smith LA, Reinert LK, et al. Towards a better understanding of the use of probiotics for preventing chytridiomycosis in Panamanian golden frogs. Ecohealth. 2011;8(4):501–506. 10.1007/s10393-012-0743-0 [DOI] [PubMed] [Google Scholar]
  • 37.Robak MJ, Richards-Zawacki CL. Temperature-dependent effects of cutaneous bacteria on a frog’s tolerance of fungal infection. Frontiers in Microbiology. 2018;9:410 10.3389/fmicb.2018.00410 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Woodhams DC, Vredenburg VT, Simon M-A, Billheimer D, Shakhtour B, Shyr Y, et al. Symbiotic bacteria contribute to innate immune defenses of the threatened mountain yellow-legged frog, Rana muscosa. Biological Conservation. 2007;138(3–4):390–398. [Google Scholar]
  • 39.Kearns PJ, Fischer S, Fernández-Beaskoetxea S, Gabor CR, Bosch J, Bowen JL, et al. Fight Fungi with Fungi: Antifungal Properties of the Amphibian Mycobiome. Frontiers in Microbiology. 2017;8:2494 10.3389/fmicb.2017.02494 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Woodhams DC, Alford RA, Antwis RE, Archer H, Becker MH, Belden LK, et al. Antifungal isolates database of amphibian skin-associated bacteria and function against emerging fungal pathogens. Ecology. 2015;96(2):595. [Google Scholar]
  • 41.Rollins-Smith LA, Reinert LK, O’Leary CJ, Houston LE, Woodhams DC. Antimicrobial peptide defenses in amphibian skin. Integrative and Comparative Biology. 2005;45(1):137–142. 10.1093/icb/45.1.137 [DOI] [PubMed] [Google Scholar]
  • 42.Sheafor B, Davidson E, Parr L, Rollins-Smith L. Antimicrobial peptide defenses in the salamander, Ambystoma tigrinum, against emerging amphibian pathogens. Journal of Wildlife Diseases. 2008;44:226–236. 10.7589/0090-3558-44.2.226 [DOI] [PubMed] [Google Scholar]
  • 43.Meng P, Yang S, Shen C, Jiang K, Rong M, Lai R. The first salamander defensin antimicrobial peptide. PLOS ONE. 2014;8(12):e83044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Pereira KE, Crother BI, Sever DM, Fontenot CL Jr., Pojman JA Sr., Wilburn DB, et al. Skin glands of an aquatic salamander vary in size and distribution and release antimicrobial secretions effective against chytrid fungal pathogens. Journal of Experimental Biology. 2018;221(14). 10.1242/jeb.183707 [DOI] [PubMed] [Google Scholar]
  • 45.Ossiboff RJ, Towe AE, Brown MA, Longo AV, Lips KR, Miller DL, et al. Differentiating Batrachochytrium dendrobatidis and B. salamandrivorans in amphibian chytridiomycosis using RNAScope®in situ hybridization. Frontiers in Veterinary Science. 2019;6:304 10.3389/fvets.2019.00304 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Medzhitov R, Schneider DS, Soares MP. Disease tolerance as a defense strategy. Science. 2012;335(6071):936–941. 10.1126/science.1214935 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Cooper EL, Wright RK, Klempau AE, Smith CT. Hibernation alters the frog’s immune system. Cryobiology. 1992;29(5):616–631. 10.1016/0011-2240(92)90066-b [DOI] [PubMed] [Google Scholar]
  • 48.Green N, Cohen N. Effect of temperature on serum complement levels in the leopard frog, Rana pipiens. Developmental & Comparative Immunology. 1977;1(1):59–64. 10.1016/s0145-305x(77)80051-7 [DOI] [PubMed] [Google Scholar]
  • 49.Raffel TR, Rohr JR, Kiesecker JM, Hudson PJ. Negative effects of changing temperature on amphibian immunity under field conditions. Functional Ecology. 2006;20(5):819–828. [Google Scholar]
  • 50.Andre SE, Parker J, Briggs CJ. Effect of temperature on host response to Batrachochytrium dendrobatidis infection in the mountain yellow-legged frog (Rana muscosa). Journal of Wildlife Disease. 2008;44(3):716–720. [DOI] [PubMed] [Google Scholar]
  • 51.Bustamante HM, Livo LJ, Carey C. Effects of temperature and hydric environment on survival of the Panamanian Golden Frog infected with a pathogenic chytrid fungus. Integrative Zoolology. 2010;5(2):143–153. [DOI] [PubMed] [Google Scholar]
  • 52.Murphy PJ, St-Hilaire S, Corn PS. Temperature, hydric environment, and prior pathogen exposure alter the experimental severity of chytridiomycosis in boreal toads. Diseases of Aquatic Organisms. 2011;95(1):31–42. 10.3354/dao02336 [DOI] [PubMed] [Google Scholar]
  • 53.Bletz MC, Kelly M, Sabino-Pinto J, Bales E, Van Praet S, Bert W, et al. Disruption of skin microbiota contributes to salamander disease. Proceedings of the Royal Society B: Biological Sciences. 2018;285(1885):20180758 10.1098/rspb.2018.0758 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Haislip NA, Gray MJ, Hoverman JT, Miller DL. Development and disease: How susceptibility to an emerging pathogen changes through anuran development. PLOS ONE. 2011;6(7). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Brodie ED. Investigations on the skin toxin of the red-spotted newt, Notophthalmus viridescens viridescens. The American Midland Naturalist. 1968;80(1):276–280. [Google Scholar]
  • 56.Johnson PTJ, Calhoun DM, Stokes AN, Susbilla CB, McDevitt-Galles T, Briggs CJ, et al. Of poisons and parasites-the defensive role of tetrodotoxin against infections in N. viridescens. Journal of Animal Ecology. 2018;87(4):1192–1204. [DOI] [PubMed] [Google Scholar]
  • 57.Vaelli PM, Theis KR, Williams JE, O’Connell LA, Foster JA, Eisthen HL. The skin microbiome facilitates adaptive tetrodotoxin production in poisonous N. viridescens. Elife. 2020;9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Pounds JA, Bustamante MR, Coloma LA, Consuegra JA, Fogden MPL, Foster PN, et al. Widespread amphibian extinctions from epidemic disease driven by global warming. Nature. 2006;439(7073):161–167. 10.1038/nature04246 [DOI] [PubMed] [Google Scholar]
  • 59.Rohr JR, Raffel TR, Romansic JM, McCallum H, Hudson PJ. Evaluating the links between climate, disease spread, and amphibian declines. Proceedings of the National Academy of Sciences of the United States of America. 2008;105(45):17436–17441. 10.1073/pnas.0806368105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.IUCN. The IUCN Red List of Threatened Species. 2020.
  • 61.Martel A, Blooi M, Adriaensen C, Van Rooij P, Beukema W, Fisher MC, et al. Recent introduction of a chytrid fungus endangers Western Palearctic salamanders. Science. 2014;346(6209):630–631. 10.1126/science.1258268 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Longo A, Fleischer RC, Lips K. Double trouble: co-infections of chytrid fungi will severely impact widely distributed N. viridescens. Biological Invasions. 2019;21. [Google Scholar]
  • 63.Lannoo M. Amphibian Declines: The Conservation Status of United States Species. 1 ed, University of California Press; 2005. [Google Scholar]
  • 64.Chatfield MW, Richards-Zawacki CL. Elevated temperature as a treatment for Batrachochytrium dendrobatidis infection in captive frogs. Dis Aquat Organ. 2011;94(3):235–238. 10.3354/dao02337 [DOI] [PubMed] [Google Scholar]
  • 65.Bletz M. Probiotic bioaugmentation of an anti-Bd bacteria, Janthinobacterium lividum, on the amphibian, Notophthalmus viridescens: Transmission efficacy and persistence of the probiotic on the host and non-target effects of probiotic addition on ecosystem components: James Madison University; 2013. [Google Scholar]
  • 66.Boyle DG, Boyle DB, Olsen V, Morgan JAT, Hyatt AD. Rapid quantitative detection of chytridiomycosis (Batrachochytrium dendrobatidis) in amphibian samples using real-time Taqman PCR assay. Diseases of Aquatic Organisms. 2004;60(2):141–148. 10.3354/dao060141 [DOI] [PubMed] [Google Scholar]
  • 67.Fick SE, Hijmans RJ. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology. 2017;37(12):4302–4315. [Google Scholar]
  • 68.Carter ED, Miller DL, Peterson AC, Sutton WB, Cusaac JPW, Spatz JA, et al. Conservation risk of Batrachochytrium salamandrivorans to endemic lungless salamanders. Conservation Letters. 2019;0(0):e12675. [Google Scholar]
  • 69.Gray MJ, Duffus AL, Haman KH, Reid NH, Allender MC, Thompson TA, et al. Pathogen surveillance in herpetofaunal populations: Guidance on study design, sample collection, biosecurity, and intervention strategies. Herpetological Review: Society for the Study of Amphibians and Reptiles; 2017. p. 334–351. [Google Scholar]
  • 70.Thomas V, Blooi M, Van Rooij P, Van Praet S, Verbrugghe E, Grasselli E, et al. Recommendations on diagnostic tools for Batrachochytrium salamandrivorans. Transboundary in Emerging Diseases. 2018;65(2):e478–e88. 10.1111/tbed.12787 [DOI] [PubMed] [Google Scholar]
  • 71.Therneau TM, Lumley T. Package ‘survival’. R Top Doc. 2015;128. [Google Scholar]
  • 72.Conover WJ. Practical nonparametric statistics: Wiley; 1999. [Google Scholar]
  • 73.Bletz MC, Goedbloed DJ, Sanchez E, Reinhardt T, Tebbe CC, Bhuju S, et al. Amphibian gut microbiota shifts differentially in community structure but converges on habitat-specific predicted functions. Nature Communications. 2016;7:13699 10.1038/ncomms13699 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nature Biotechnology. 2019;37(8):852–857. 10.1038/s41587-019-0209-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Amir A, McDonald D, Navas-Molina JA, Kopylova E, Morton JT, Zech Xu Z, et al. Deblur rapidly resolves single-nucleotide community sequence patterns. mSystems. 2017;2(2):e00191–16. 10.1128/mSystems.00191-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: High-resolution sample inference from Illumina amplicon data. Nature Methods. 2016;13(7):581–583. 10.1038/nmeth.3869 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Bengtsson-Palme J, Ryberg M, Hartmann M, Branco S, Wang Z, Godhe A, et al. Improved software detection and extraction of ITS1 and ITS2 from ribosomal ITS sequences of fungi and other eukaryotes for analysis of environmental sequencing data. Methods in Ecology and Evolution. 2013;4(10):914–919. [Google Scholar]
  • 78.Rivers AR, Weber KC, Gardner TG, Liu S, Armstrong SD. ITSxpress: Software to rapidly trim internally transcribed spacer sequences with quality scores for marker gene analysis. F1000Research. 2018;7:1418 10.12688/f1000research.15704.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Bokulich NA, Kaehler BD, Rideout JR, Dillon M, Bolyen E, Knight R, et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome. 2018;6(1):90 10.1186/s40168-018-0470-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Price MN, Dehal PS, Arkin AP. FastTree 2 –Approximately maximum-likelihood trees for large alignments. PLOS ONE. 2010;5(3):e9490 10.1371/journal.pone.0009490 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Team RC. R: A Language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2020. [Google Scholar]
  • 82.Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. Journal of Statistical Software; Vol 1, Issue 1 (2015). 2015. [Google Scholar]
  • 83.Martinez AP. pairwiseAdonis: Pairwise multilevel comparison using adonis. R package version 0.4. 2020.
  • 84.Oksanen J, Blanchetm FG, Friendly M, Kindt R, Legendre P, McGlinn D, et al. vegan: Community Ecology Package 2019. [Google Scholar]
  • 85.Antwis RE, Harrison XA. Probiotic consortia are not uniformly effective against different amphibian chytrid pathogen isolates. Molecular Ecology. 2018;27(2):577–589. 10.1111/mec.14456 [DOI] [PubMed] [Google Scholar]
  • 86.Goelen T, Sobhy IS, Vanderaa C, Wäckers F, Rediers H, Wenseleers T, et al. Bacterial phylogeny predicts volatile organic compound composition and olfactory response of an aphid parasitoid. Oikos. 2020;129(9):1415–1428. [Google Scholar]
  • 87.Langille MGI, Zaneveld J, Caporaso JG, McDonald D, Knights D, Reyes JA, et al. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nature Biotechnology. 2013;31(9):814–821. 10.1038/nbt.2676 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Rollins-Smith LA, Reinert LK, Miera V, Conlon JM. Antimicrobial peptide defenses of the Tarahumara frog, Rana tarahumarae. Biochemical and Biophysical Research Communications. 2002;297(2):361–367. 10.1016/s0006-291x(02)02217-9 [DOI] [PubMed] [Google Scholar]
  • 89.Rollins-Smith LA, Woodhams DC, Reinert LK, Vredenburg VT, Briggs CJ, Nielsen PF, et al. Antimicrobial peptide defenses of the mountain yellow-legged frog (Rana muscosa). Developmental and Comparitive Immunology. 2006;30(9):831–842. [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Xiaorong Lin, Chengshu Wang

26 Oct 2020

Dear Dr Gray,

Thank you very much for submitting your manuscript "Winter is Coming – Temperature Affects Immune Defenses and Susceptibility to Batrachochytrium salamandrivorans" for consideration at PLOS Pathogens. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. The reviewers appreciated the attention to an important topic. Based on the reviews, we are likely to accept this manuscript for publication, providing that you modify the manuscript according to the review recommendations.

So we are returning your manuscript with three reviews that came to rather similar agreements. After careful consideration of the reviews and the manuscript, we have decided that the further experiments requested by reviewer 2 are not necessary for this manuscript to meet the criteria for publication at PLoS Pathogens. There are, however, a few remaining minor revisions that need to be addressed.

Please prepare and submit your revised manuscript within 30 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. 

When you are ready to resubmit, please upload the following:

[1] A letter containing a detailed list of your responses to all review comments, and a description of the changes you have made in the manuscript. 

Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Important additional instructions are given below your reviewer comments.

Thank you again for your submission to our journal. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Chengshu Wang

Guest Editor

PLOS Pathogens

Xiaorong Lin

Section Editor

PLOS Pathogens

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

***********************

Reviewer Comments (if any, and for reference):

Reviewer's Responses to Questions

Part I - Summary

Please use this section to discuss strengths/weaknesses of study, novelty/significance, general execution and scholarship.

Reviewer #1: This manuscript reports the results of a rigorous experimental study on an emerging fungal pathogen that constitutes a dramatic threat to salamanders in the Nearctic and Palearctic, threatening to wipe out entire species communities within the next few decades. The results of this study therefore are of high importance as they contribute to our understanding how different salamander and newt species are affected by the pathogen under different environmental conditions, and how the immune system / pathogen interactions are affected by these conditions, in particular temperature.

The study has been thoroughlyplanned and executed, with a few very minor shortcomings as they are almost unavoidable in such a study with wild-caught animals – e.g., the sampling of different life history stages of the target newt species from different geographic regions. This however does not affect the validity of the results and is openly and adequately discussed in the manuscript.

The author team consists of renowned experts in their field, with a lot of expertise in the study of fungal diseases, microbiomes and protein secretions of amphibians, and I therefore fully trust them to have carried out correctly all the experimental and statistical procedures.

The manuscript is well written and illustrated. I found it a bit annoying that the manuscript does not contain line numbers, this does not help making the work of reviewers easy. I would ask the authors to keep this in mind for their next manuscripts.

Reviewer #2: Strengths of this paper are that they conducted a carefully designed experiment and collected relevant response variable data at multiple scales, including cellular histopathology, immune system proteins, microbial communities, pathogen loads, and morbidity/mortality. It is a large, complex and valuable dataset. The topic of this emerging fungal pathogen threat to salamanders in North America is important and urgent.

Weaknesses of this study are that there is not a clear question or hypothesis being put forth, rather the current manuscript aims to see how temperature affects all these things simultaneously. The complex data pieces are not woven together into a coherent narrative. The 'White Walker' bit is funny and catchy, however it is not well explained. What does this really mean for infection dynamics? What do the temperatures that were selected for the experiment actually signify in terms of geography and seasonality? There is an allusion to seasonality and winter, but this is not really explored. Why are both adults and efts being studied separately? These things should all be very clear in the introduction and then fully discussed.

Reviewer #3: This study presents a large body of careful work on temperature dependent relationships between Bsal pathogenicity, microbiome and antimicrobial protein production. The study hinges on careful newt - infection experiments and these appear to be well done, with adequate sample sizes and attention to dose dependence (often neglected in fungal-infection experiments). The survival analyses appear remarkably coherent in their effect.

Overall, it is hard to fault the experimental basis of the work. The authors could do a better job of contextualise the previous work on temperature and chytrid – the main hypothesis was articulated by Rohr et al and is known as the ‘chytrid-thermal-optimum’ hypothesis: that could be woven in better to set the scene.

Dysbiosis was argued by Bates et al in a recent frontier paper – I think it would be interesting to see whether the taxa noted there are mirrored in this study.

‘The White Walker Effect’ is genius- I’m looking forward to using that metaphor!

**********

Part II – Major Issues: Key Experiments Required for Acceptance

Please use this section to detail the key new experiments or modifications of existing experiments that should be absolutely required to validate study conclusions.

Generally, there should be no more than 3 such required experiments or major modifications for a "Major Revision" recommendation. If more than 3 experiments are necessary to validate the study conclusions, then you are encouraged to recommend "Reject".

Reviewer #1: (No Response)

Reviewer #2: 1) Re-write the paper to focus on specific questions and hypotheses

2) Conduct an analysis that detangles whether the temperature effects on microbes or immune function is larger/ more important. This may also inform one way to re-structure the intro and frame questions.

3) who are the microbial players and what are they doing?

Reviewer #3: None identified

**********

Part III – Minor Issues: Editorial and Data Presentation Modifications

Please use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity.

Reviewer #1: Overall, I have only very few suggestions for revision and improvement.

In the Discussion, I think it would be worth mentioning that the experimental temperature regime (constant 6, 14 and 25 °C) only reflects partially the true conditions in the wild, and it would be interesting to carry out experiments with natural temperature regimes, i.e., changes between diurnal and nocturnal temperatures as these newts certainly experience them in the wild. Interestingly, the 6°C temperature regime may quite well reflect the situation during hibernation where amphibians shelter under ground in burrows of usually quite constant temperature.

To my knowledge, the known cases of salamander dieoffs in the wild in Europe have so far not been related quantitatively to seasons, and in the present study (given its title "Winter is coming" it would be worth providing such a summary. For some time I was convinced most dieoffs of fire salamanders were indeed taking place in the winter, but by now it seems they have been detected in almost all seasons in the year. One interesting point to discuss is also that winter mortality in the wild is very hard to detect as the animals may die within their shelter, thus driving "silent declines" where salamanders could slowly disappear from a region without and detection of mass mortality events.

It is awkward that the geographical models are presented only in the Discussion. Especially in the PLOS format in which methods are given after Results/Discussion, this makes it hard for the reader to understand what these models are about. Two sentences in the Results, briefly describing what was done and what the Results were, fererring to Fig. 8, would be helpful.

Other than that, I have only a number of quite minor revisions to suggest, mostly typos and sentences that are difficult to understand and should be rephrased.

Please across the entire manuscript, including Figure captions, make sure to consistently italicize (or not italicize) "Bsal". This is currently very inconsistent and there are many instances of non-italicized occurrences of Bsal.

Abstract: "emerging fungus" sounds weird, maybe better something like "emerging fungal pathogen"?

Abstract: Please explain at first mention that Nothophthalmus is a newt.

Results: explain "eft" at first mention.

Figure 2 legend, first line: italicize Bsal and make sure this is consistent throughout the manuscript.

Page 6, 1st line: z.ratio or z-ratio?

Page 6, 4th line, a space seems to be missing after period.

Page 6, line 15, maybe write "In nature" or "Under natural conditions" rather than "Naturally" which is confusing.

Figure 4 caption, lower case in "microbiome"

Page 8, Skin proteins and peptides, the first sentences are confusing due to the use of the term "greater". I suppose the first use of this term refers to more total protein recovered (= greater recovery = higher concentration, higher amount, more molecules???) and the second use refers to the size of the molecules (greater = larger molecules found)? Please try to rephrase these sentences to make them less prone to misunderstanding.

Page 10, " However, total recovered proteins on amphibian skin at 6ºC were greater than 14 and 22ºC," --- please rephrase, probably something like "greater than at 14 ..." would be appropriate.

In the methods, please specify at first mention of swabs that these were skin swabs, and provide details of how these were taken. This methodology is obvious for all chytrid researchers, but maybe not for other readers.

There are many (!!) issues with the references. In brief, scientific names are often not italicized, in several references all words start with upper case which is incorrect (e.g., refs. 22, 24, 57...). Journal names are sometimes abbreviated and sometimes not, and sometimes with words not in upper case (e.g., Biological conservation in ref. 30 should be Biological Conservation, ref. 27 should be Trends in Ecology & Evolution, and so on). These issues are too numerous to be listed here, the authors really should check them one by one and make sure to have them corrected in the reference management system.

Is it really PLOS format to abbreviate page ranges (e.g., 1627-39 rather than 1627-1639)? – I have not seen this in multiple PLOS papers I checked.

Reviewer #2: Overall, the writing quality is fine.

Reviewer #3: The authors are commended for including fungal ITS into the 'microbiome' however don't discuss what appears to be quite divergent patterns. Perhaps that could be explored a little more.

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

Figure Files:

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

Data Requirements:

Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example see here: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5.

Reproducibility:

To enhance the reproducibility of your results, PLOS recommends that you deposit laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see http://journals.plos.org/plospathogens/s/submission-guidelines#loc-materials-and-methods

Decision Letter 1

Xiaorong Lin, Chengshu Wang

8 Dec 2020

Dear Dr Gray,

We are pleased to inform you that your manuscript 'Winter is Coming – Temperature Affects Immune Defenses and Susceptibility to Batrachochytrium salamandrivorans' has been provisionally accepted for publication in PLOS Pathogens.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us now if you or your institution is planning to press release the article. All press must be co-ordinated with PLOS.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Pathogens.

Best regards,

Chengshu Wang

Guest Editor

PLOS Pathogens

Xiaorong Lin

Section Editor

PLOS Pathogens

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

***********************************************************

After discussions with other Editors, an acceptance of this revised version without further re-reviews is suggested. Please consider reformating your figure formats, especially for Figure 4, as per journal requirements.

Reviewer Comments (if any, and for reference):

Acceptance letter

Xiaorong Lin, Chengshu Wang

29 Jan 2021

Dear Dr Gray,

We are delighted to inform you that your manuscript, "Winter is Coming – Temperature Affects Immune Defenses and Susceptibility to Batrachochytrium salamandrivorans," has been formally accepted for publication in PLOS Pathogens.

We have now passed your article onto the PLOS Production Department who will complete the rest of the pre-publication process. All authors will receive a confirmation email upon publication.

The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any scientific or type-setting errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript. Note: Proofs for Front Matter articles (Pearls, Reviews, Opinions, etc...) are generated on a different schedule and may not be made available as quickly.

Soon after your final files are uploaded, the early version of your manuscript, if you opted to have an early version of your article, will be published online. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers.

Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Pathogens.

Best regards,

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Percentage mortality, median days survival and results of Kaplan-Meier survival analysis performed on each experiment (Days Survival ~ Dose), between temperature at the same dose (Days Survival ~ Temperature), and between life-stages at the same dose and temperature (Days Survival~Life-stage) for Notophthalmus viridescens exposed to Batrachochytrium salamandrivorans.

    (DOCX)

    S2 Table. Batrachochytrium salamandrivorans (Bsal) copies/uL by life-stage, exposure temperature, and exposure dose (per 10 mL) showing percentage of Notophthalmus viridescens infected at necropsy, Bsal copies/uL means (x¯), medians (x˜) and standard deviations (SD).

    (DOCX)

    S3 Table. Tukey multiple comparison of means performed on total proteins recovered from adult Notophthalmus viridescens skin between temperatures corrected by body mass (from Fig 6A).

    (DOCX)

    S1 Fig. Putative hydrophobic peptides recovered and inhibition of Batrachochytrium salamandrivorans (Bsal) zoospore viability by skin secretions from adult Notophthalmus viridescens not exposed to Bsal (i.e., controls).

    (A) Hydrophobic peptides recovered among temperature treatments corrected for body mass (ANOVA; F2,23 = 0.48, P = 0.62). (B) Percent inhibition of Bsal zoospore viability by concentrated hydrophobic peptides (250 μg/mL) among temperatures when challenged in a growth inhibition assay (F2,14 = 0.99, P = 0.40). (C) Peptide effectiveness (total recovered peptides x percent inhibition of Bsal) among three temperatures (ANOVA; F2,14 = 0.55, P = 0.59). Numbers in brackets indicate the number of N. viridescens sampled.

    (DOCX)

    S1 Text. Additional methods on microbiome and Batrachochytrium salamandrivorans suitability analyses.

    (DOCX)

    Attachment

    Submitted filename: Responses to Reviewer Comments 11-26-20.docx

    Data Availability Statement

    All data not provided in the manuscript is available https://doi.org/10.7290/t7SaLlfxxe.


    Articles from PLoS Pathogens are provided here courtesy of PLOS

    RESOURCES