Spread Of White-nose Syndrome Research Articles

U.S. National Park visitor perceptions and behavioral intentions towards actions to prevent white-nose syndrome.

In the United States, the discovery and spread of white-nose syndrome (WNS) has drastically changed how bats and caves are managed. The U.S. National Park Service has been instrumental in the national response to WNS, as it manages extensive cave resources and has a close relationship with the public. However, managers lack information on visitor support for disease prevention measures designed to slow the spread of WNS and minimize human disturbance of vulnerable bat populations. This study utilized the Theory of Planned Behavior to determine how visitor attitudes, subjective norms, and perceived behavioral controls influenced their behavior regarding WNS preventive actions, including participation in educational programming on bats, wearing clothes or shoes in caves that have not been contaminated with the fungus that causes WNS, walking over decontamination mats, and complying with cave closures. During summer of 2019, data were collected using an on-site survey of 1365 visitors to eight U.S. national park units: Oregon Caves, Lava Beds, Carlsbad Caverns, El Malpais, Wind Cave, Jewel Cave, Mammoth Cave, and Cumberland Gap. Visitors were willing to participate in all preventative actions addressed in the survey (77.7%-96.7%). Visitors expressed that engaging in these actions was very desirable (36.0%-65.6%), and their decision to engage in these actions was most strongly influenced by park staff (39.2%-68.8%) or signage (35.5%-61.9%). Attitudes and subjective norms were positive predictors of behavioral intentions for all measures. Perceived behavioral control was not a direct predictor for behavioral intent, but its interaction with attitudes and subjective norms had a moderating influence on intention to comply with multiple WNS preventive actions. With the continued spread of WNS and emergence of other threats to bats, understanding visitor behavioral intent and underlying factors will facilitate successful implementation of preventive actions that are publicly supported and promote conservation of bat populations in U.S. national parks.

Roosting Behavior of Northern Long-Eared Bats (Myotis septentrionalis) in an Urban-Adjacent Forest Fragment

Throughout the Midwest United States, agricultural and urban development have fragmented natural areas, with a disproportionate effect on forests and wetlands. The resulting habitat loss, compounded with the spread of white-nose syndrome (WNS), has caused precipitous population declines in several forest-obligate bat species. In 2019, we discovered a remnant northern long-eared bat (Myotis septentrionalis Trouessart) maternity colony in a small forest fragment adjacent to a restored wetland in northeastern Indiana, USA. We investigated roost selection in this colony during the summers between 2019 and 2021 by attaching radio transmitters to northern long-eared bats and tracking them to day roosts. We measured tree, plot, and landscape-level characteristics for each roost and for a randomly selected available tree in the same landscape, then compared characteristics using paired t-tests. Over 70 net nights, we captured and tracked 4 individuals (1 juvenile male, 1 post-lactating female, and 2 lactating females) to 12 different roosts. There were, on average, 3.5 times more standing dead trees (snags) in plots around roosts compared to available trees (t = −4.17, p = 0.02). Bats in this maternity colony selected roosts near a stretch of flooded forest (which contained 83% of roosts) dominated by solar-exposed, flood-killed snags. These roosts likely provide warm microclimates that facilitate energy retention, fetal development, and milk production. By describing roosts within this landscape, we provide insight into the resources that enable an endangered bat species to persist in urbanized forest fragments.

Disease-related population declines in bats demonstrate non-exchangeability in generalist predators.

The extent to which persisting species may fill the functional role of extirpated or declining species has profound implications for the structure of biological communities and ecosystem functioning. In North America, arthropodivorous bats are threatened on a continent‐wide scale by the spread of white‐nose syndrome (WNS), a disease caused by the fungus Pseudogymnoascus destructans. We tested whether bat species that display lower mortality from this disease can partially fill the functional role of other bat species experiencing population declines. Specifically, we performed high‐throughput amplicon sequencing of guano from two generalist predators: the little brown bat (Myotis lucifugus) and big brown bat (Eptesicus fuscus). We then compared changes in prey consumption before versus after population declines related to WNS. Dietary niches contracted for both species after large and abrupt declines in little brown bats and smaller declines in big brown bats, but interspecific dietary overlap did not change. Furthermore, the incidence and taxonomic richness of agricultural pest taxa detected in diet samples decreased following bat population declines. Our results suggest that persisting generalist predators do not necessarily expand their dietary niches following population declines in other predators, providing further evidence that the functional roles of different generalist predators are ecologically distinct.

Statistical power of mobile acoustic monitoring to detect population change in southeastern U.S. bat species, a case study

Bat populations in eastern North America have experienced precipitous declines following the spread of white-nose syndrome (WNS) and other population stressors. It is imperative to understand changes in bat populations as WNS spreads to provide appropriate guidance for species management. We developed generalized linear mixed-models of population trend and habitat associations for five indicator bat species on U.S. Fish and Wildlife Service Mobile Acoustic Bat Monitoring program routes across 86 sites in the southeastern United States from 2012 to 2017. We estimated substantial declining annual trends in relative abundance of tricolored bat (Perimyotis subflavus; −15.1% [−20.6 to −9.1% 95% CI]) and little brown bat (Myotis lucifugus; −13.9% [−22.9 to −3.8% 95% CI]). Relative abundance of bat species increased throughout the summer, and associated positively with the amount of woody cover along survey routes in all but P. subflavus. Fewer evening bats (Nycticeius humeralis) and eastern red bats (Lasiurus borealis) were detected along more developed routes. Using these models, we conducted a prospective power analysis to examine sampling effort necessary to detect moderate to catastrophic population changes in bat populations. We estimated that it would require 10–20 years of surveys on 50–100 routes to detect 5% annual declines in all species at 80% power and α = 0.1. Detecting a 2.73% annual decline may require >200 surveys over >20 years; whereas a 1.14% annual decline was nearly impossible to detect via our program. We demonstrate and caution that underpowered monitoring programs may misrepresent the magnitude and/or sign of population trajectories. We recommend project-specific power analysis continue to be emphasized as an important study design component for effective long-term monitoring programs.

Broad-scale geographic and temporal assessment of northern long-eared bat (Myotis septentrionalis) maternity colony-landscape association

As the federally threatened northern long-eared bat Myotis septentrionalis continues to decline due to white-nose syndrome (WNS) impacts, the application of effective conservation measures is needed but often hindered by the lack of ecological data. To date, recommended management practices have been adopted in part from other federally listed sympatric species such as the endangered Indiana bat M. sodalis. During the maternity season, these measures have largely focused on conservation of known day-roost habitat, often with little consideration for foraging habitat, particularly riparian areas. We examined acoustic activity of northern long-eared bats relative to day-roost and capture data at coastal and interior sites in the District of Columbia, New York, Pennsylvania, Virginia, and West Virginia, USA, over the course of 6 summers (2015-�2020), where maternity activity was still documented after the initial arrival and spread of WNS. Acoustic activity of northern long-eared bats relative to forest cover decreased at the acoustic site level (fine scale) but increased at the sampling region level (coarse scale). We observed a positive association of northern long-eared bat acoustic activity with riparian areas. Additionally, we observed higher levels of activity during pregnancy through early lactation period of the reproductive cycle prior to juvenile volancy. Our findings suggest the need for more explicit inclusion of forested riparian habitats in northern long-eared bat conservation planning. Acoustic sampling in spring and early summer rather than mid- to late summer and in forested riparian areas is the most effective strategy for identifying potential active northern long-eared bat maternity colonies on the local landscape.

Species specific effects of prescribed burns on bat occupancy in northwest Arkansas

Due to the recent spread of white nose syndrome, it is imperative that managers understand the effects their management techniques have on bat species. Our research aims to determine the spatial and temporal variation in occupancy of bat species native to the Ozark Highlands and Boston Mountains of northwest Arkansas. Although prescribed burn units in this region are burned on a three-year rotation, it is not currently known how this treatment schedule affects bats. To determine the effects of prescribed burns on bat species including Myotis grisescens, Nycticeius humeralis, and Perimyotis subflavus, acoustic monitors and insect traps were deployed at 20 burned and 20 unburned sites that were visited twice, between April and November of 2017. Bat calls were analyzed for presence/absence data. Single season occupancy modeling was used to determine the effects of environmental covariates on probabilities of detection and occupancy. In total, 132,528 acoustic files were collected. The probability of detection for each bat species was affected by temperature or moon phase. Occupancy models indicated that probability of occupancy for all species was affected by seasonal changes and basal area (m2/Ha), and all but one were affected by prey biomass. These data indicate that although prescribed burns may have not directly affected bats, potential indirect effects of fire, basal area and insect biomass, appear to have significant impacts.

Predicting landscape-scale summer resource selection for the northern long-eared bat (Myotis septentrionalis) in Iowa

AbstractThe northern long-eared bat (Myotis septentrionalis) is currently listed as threatened under the U.S. Endangered Species Act largely due to population declines resulting from the spread of white-nose syndrome in North America. White-nose syndrome was confirmed in Iowa in 2015, emphasizing a need to closely monitor populations of M. septentrionalis statewide. We applied presence-only models to predict landscape-scale resource selection by M. septentrionalis using roost tree observations and mist net captures from various research and environmental assessment projects in Iowa (2003–2015). We used a simultaneous autoregressive (SAR) model to account for residual spatial autocorrelation in our compiled data set and estimate the proportional probability of use of summer habitats for M. septentrionalis. We estimated SAR models using four environmental predictor variables measured at two landscape scales (0.5- and 2.4-km) representative of M. septentrionalis home range sizes in North America. The SAR models resulted in high predictive fit with withheld test observations and an independent data set of acoustic detections of M. septentrionalis from recent surveys (2016–2018), indicating a significant positive relationship existed between habitat quality (as an index of selection) and distribution of M. septentrionalis at landscape scales. At both spatial scales, M. septentrionalis showed positive selection of closed canopy interior forest, bottomland hardwood forest, and total perennial stream length, whereas at the 0.5-km scale, M. septentrionalis also showed a positive association with open canopy forest. Our models indicated that up to 7.0% and 8.5% of the state was comprised of potentially suitable forested summer habitats for M. septentrionalis for 0.5- and 2.4-km scales, respectively. Our models also indicated the distribution of highly selected habitats at landscape scales in Iowa and accurately predicted independent observations of M. septentrionalis in areas of the state where no capture efforts have occurred. This study provides methods to predict landscape-scale resource selection and distribution for bats where multiple fine-scale data sources exist across broad geographic regions.

Landscape structure and ecology influence the spread of a bat fungal disease

Abstract White‐nose syndrome (WNS), affecting multiple North American bat species during the hibernation period, is a highly pathogenic disease caused by the psychrophilic fungus Pseudogymnoascus destructans (Pd). Because the fungal pathogen persists in the hibernation site environment independently of the hosts, previous theory on spatial disease dynamics cannot predict WNS epidemics. However, the ability to understand factors contributing to the spread of white‐nose syndrome (WNS) in North America is crucial to the management of infected and susceptible bat populations as well as the conservation of threatened and endangered bat species. Utilizing recent theory on environmental opportunistic pathogens, we modelled the effect of (a) landscape clustering, (b) environmental conditions in hibernacula and (c) microbial competition on the spread of WNS. We used available, already published data to construct and parameterize our model, which takes into account the spatial distribution of hibernation sites, temperature conditions in both the outside ambient and hibernation site environment, bat population dynamics, dispersal and infection by the pathogen, which also has its host‐independent dynamics with the environment. We also consider the effect of outside‐host competition between the pathogen and other micro‐organisms on spatial disease dynamics. Our model suggests that pathogen loads accumulate in poorly connected hibernacula at short host dispersal, which can help found the epidemic. In contrast, invasion of the landscape is most successful at long host dispersal distances, with homogenous hibernation site distribution and heterogeneous between‐hibernation site temperatures. Also, increasing the mean temperature across hibernacula increases fungal growth rate, leading to higher disease prevalence and faster invasion rate. Increasing spatial heterogeneity in hibernaculum temperatures results in the formation of disease hotspots in warmer hibernacula, facilitating more effective spread of the disease in the landscape. Cold‐adapted competing microbes can prevent invasion, and therefore, overwintering in cold hibernacula increases probability of host survival. Sites that were suboptimal for overwintering prior to WNS may have importance in preventing local extirpations. Although the model is tailored for WNS, due to pressing need for results that can assist in planning conservation measures, these novel results can be broadly applied to other environmentally transmitted diseases. A plain language summary is available for this article.

Optimal Treatment Allocations in Space and Time for On-Line Control of an Emerging Infectious Disease

A key component in controlling the spread of an epidemic is deciding where, when and to whom to apply an intervention. We develop a framework for using data to inform these decisions in realtime. We formalize a treatment allocation strategy as a sequence of functions, one per treatment period, that map up-to-date information on the spread of an infectious disease to a subset of locations where treatment should be allocated. An optimal allocation strategy optimizes some cumulative outcome, e.g. the number of uninfected locations, the geographic footprint of the disease or the cost of the epidemic. Estimation of an optimal allocation strategy for an emerging infectious disease is challenging because spatial proximity induces interference between locations, the number of possible allocations is exponential in the number of locations, and because disease dynamics and intervention effectiveness are unknown at out-break. We derive a Bayesian on-line estimator of the optimal allocation strategy that combines simulation-optimization with Thompson sampling. The estimator proposed performs favourably in simulation experiments. This work is motivated by and illustrated using data on the spread of white nose syndrome, which is a highly fatal infectious disease devastating bat populations in North America.

Multifaceted DNA metabarcoding: Validation of a noninvasive, next-generation approach to studying bat populations.

As multiple species of bats are currently experiencing dramatic declines in populations due to white‐nose syndrome (WNS) and other factors, conservation managers have an urgent need for data on the ecology and overall status of populations of once‐common bat species. Standard approaches to obtain data on bat populations often involve capture and handling, requiring extensive expertise and unavoidably resulting in stress to the bats. New methods to rapidly obtain critical data are needed that minimize both the stress on bats and the spread of WNS. Guano provides a noninvasive source of DNA that includes information from the bat, but also dietary items, parasites, and pathogens. DNA metabarcoding is a high‐throughput, DNA‐based identification technique to assess the biodiversity of environmental or fecal samples. We investigated the use of multifaceted DNA metabarcoding (MDM), a technique combining next‐generation DNA sequencing (NGS), DNA barcodes, and bioinformatic analysis, to simultaneously collect data on multiple parameters of interest (bat species composition, individual genotype, sex ratios, diet, parasites, and presence of WNS) from fecal samples using a single NGS run. We tested the accuracy of each MDM assay using samples in which these parameters were previously determined using conventional approaches. We found that assays for bat species identification, insect diet, parasite diversity, and genotype were both sensitive and accurate, the assay to detect WNS was highly sensitive but requires careful sample processing steps to ensure the reliability of results, while assays for nectivorous diet and sex showed lower sensitivity. MDM was able to quantify multiple data classes from fecal samples simultaneously, and results were consistent whether we included assays for a single data class or multiple data classes. Overall, MDM is a useful approach that employs noninvasive sampling and a customizable suite of assays to gain important and largely accurate information on bat ecology and population dynamics.

First Detection of Bat White-Nose Syndrome in Western North America.

White-nose syndrome (WNS) is an emerging fungal disease of bats caused by Pseudogymnoascus destructans. Since it was first detected near Albany, NY, in 2006, the fungus has spread across eastern North America, killing unprecedented numbers of hibernating bats. The devastating impacts of WNS on Nearctic bat species are attributed to the likely introduction of P.destructans from Eurasia to naive host populations in eastern North America. Since 2006, the disease has spread in a gradual wavelike pattern consistent with introduction of the pathogen at a single location. Here, we describe the first detection of P.destructans in western North America in a little brown bat (Myotis lucifugus) from near Seattle, WA, far from the previously recognized geographic distribution of the fungus. Whole-genome sequencing and phylogenetic analyses indicated that the isolate of P.destructans from Washington grouped with other isolates of a presumed clonal lineage from the eastern United States. Thus, the occurrence of P.destructans in Washington does not likely represent a novel introduction of the fungus from Eurasia, and the lack of intensive surveillance in the western United States makes it difficult to interpret whether the occurrence of P.destructans in the Pacific Northwest is disjunct from that in eastern North America. Although there is uncertainty surrounding the impacts of WNS in the Pacific Northwest, the presence of the pathogen in western North America could have major consequences for bat conservation. IMPORTANCE White-nose syndrome (WNS) represents one of the most consequential wildlife diseases of modern times. Since it was first documented in New York in 2006, the disease has killed millions of bats and threatens several formerly abundant species with extirpation or extinction. The spread of WNS in eastern North America has been relatively gradual, inducing optimism that disease mitigation strategies could be established in time to conserve bats susceptible to WNS in western North America. The recent detection of the fungus that causes WNS in the Pacific Northwest, far from its previous known distribution, increases the urgency for understanding the long-term impacts of this disease and for developing strategies to conserve imperiled bat species.

Genetic structure of winter populations of the endangered Indiana bat (Myotis sodalis) prior to the white nose syndrome epidemic: implications for the risk of disease spread

The spread of white nose syndrome raises serious concerns about the long-term viability of affected bat species. Here we examine the geographic distribution of genetic variation, levels of population connectivity that may influence the spatial spread of WNS, and the likelihood that recent population declines in regions affected by WNS have led to the loss of unique genetic variation for the endangered Indiana bat (Myotis sodalis). We amplified a fragment of the mitochondrial control region for 375 individuals and genotyped 445 individuals at 10 microsatellite loci from 18 sampling sites distributed across the majority of the species' range. Analysis of mitochondrial DNA indicated the presence of at least five distinct matrilineal clusters, with the most pronounced differences between northeastern sites and those in the rest of the range. The majority of individuals in the Ozark- Central, Midwest, and Appalachian recovery units fell into a single cluster. Significant differentiation also was observed between one Appalachian and one Midwestern site and the majority of other sites. However, using nuclear microsatellites we observed the absence of differentiation and widespread gene flow among all hibernacula, suggesting the occurrence of extensive gene flow through dispersal and mating. The absence of genetically distinct populations within the range of Indiana bats indicates a lack of barriers to WNS transmission, and it is unlikely that significant portions of the hibernating population of Indiana bats will remain disease free into the future. Further, while matrilineal gene flow was restricted among some sites and regions, we found no genetic evidence to support the division of Indiana bats into separate recovery units.

One Health: People, Animals, and the Environment

The One Health concept recognizes that the health of humans is connected to the health of animals and the environment. An interdisciplinary One Health approach involving human, animal, and environmental health partners worldwide is critical to address current public health issues, which include emerging infectious and zoonotic diseases. The book One Health: People, Animals, and the Environment reviews core concepts of One Health and highlights key One Health issues of public health importance. The book comprises 5 sections. The first section covers the need for a One Health approach and reasons such an approach is important. Topics include the human–animal interface, ecologic approaches to studying zoonoses, and the role of wildlife in emerging infectious diseases. The second section covers zoonotic and environmental drivers of emerging infectious diseases. This section includes an overview of the interconnectedness of human and animal pathogens for several timely One Health events and describes the emergence of influenza viruses across the species barrier; rabies control; foodborne diseases and transmission among humans, animals, and plants; environmental reservoirs of cholera; and the role of human activity on the spread of white-nose syndrome in bats. The rest of the book is devoted to causes behind the emergence of antimicrobial drug resistance and the need for disease surveillance that can identify pathogens crossing animal–human interfaces to provide early warning of new public health challenges and describes new technologies and approaches for public health surveillance, and the challenge of making One Health a reality. The editors share several examples of successful applications of the One Health approach to highlight the impact of collaboration between human, animal, and environmental health partners. Remaining challenges of implementing a One Health approach are also presented in the context of thwarting the threat of emerging infectious diseases. Throughout the book, the editors provide case histories of notable recent zoonotic infections, which provide real-world examples of implementing a One Health approach for diseases such as West Nile virus disease, hantavirus, Lyme disease, and severe acute respiratory syndrome. The availability of texts describing the One Health approach is important, and this book provides a concise overview of One Health from the infectious disease perspective. Although this book focuses on the role of One Health specifically for emerging infectious and zoonotic diseases, it is a valuable introduction to the field of One Health. The book applies to a wide audience—physicians, veterinarians, environmental scientists, public health officials, policy makers, and students. It is a useful resource for those who want a better understanding of One Health and their role in the One Health movement. The One Health concept continues to gain recognition as a critical tool to address public health issues at the animal–human-ecosystem interface to have the biggest impact on improving health for all. In the words of the editors, “the One Health approach is simply too important to ignore.”

An illustrated key to the mandibles of small mammals of eastern Canada

Skulls are often used to identify small mammals, and most identification keys to small mammals have been developed on the assumption that whole skulls will be available. However, the skulls of small mammals are seldom found intact in predator pellets or nests, and the bones of several individuals are often scattered and mixed, making counting impossible without the use of a specific cranial part. In addition, only a few keys include all the species found in the eastern provinces of Canada.Mandibles readily resist degradation by the gastric acids of both avian and mammalian predators and are often found intact in food caches of mustelids and in bat hibernacula. We therefore designed an illustrated dichotomous key to small mammals (mean mass <5 kg) of eastern Canada based on diagnostic mandible characters (including the teeth and one dentary bone). We identified and confirmed diagnostic characters to distinguish 55 species from the orders Lagomorpha, Rodentia, Soricomorpha, Carnivora, and Chiroptera. These diagnostic characters are based on a review of the literature and were confirmed by measurements performed on both museum and trapped specimens. In order to facilitate identification, photographic illustrations are provided for each couplet of the key.The ability to identify small mammals using their mandibles will reduce the number of skull components needed and has proven to be a useful tool in the study of the diet of predators. This key may also be helpful in identifying bats in the genera Myotis, Perimyotis, and Eptesicus, which are presently affected by the spread of white-nose syndrome (caused by Pseudogymnoascus destructans) throughout the eastern part of Canada.

Genetic Structure of Little Brown Bats (Myotis lucifugus) Corresponds with Spread of White-Nose Syndrome among Hibernacula

Until recently, the little brown bat (Myotis lucifugus) was one of the most common bat species in North America. However, this species currently faces a significant threat from the emerging fungal disease white-nose syndrome (WNS). The aims of this study were to examine the population genetic structure of M. lucifugus hibernating colonies in Pennsylvania (PA) and West Virginia (WV), and to determine whether that population structure may have influenced the pattern of spread of WNS. Samples were obtained from 198 individuals from both uninfected and recently infected colonies located at the crest of the disease front. Both mitochondrial (636bp of cytochrome oxidase I) and nuclear (8 microsatellites) loci were examined. Although no substructure was evident from nuclear DNA, female-mediated gene flow was restricted between hibernacula in western PA and the remaining colonies in eastern and central PA and WV. This mitochondrial genetic structure mirrors topographic variation across the region: 3 hibernating colonies located on the western Appalachian plateau were significantly differentiated from colonies located in the central mountainous and eastern lowland regions, suggesting reduced gene flow between these clusters of colonies. Consistent with the hypothesis that WNS is transmitted primarily through bat-to-bat contact, these same 3 hibernating colonies in westernmost PA remained WNS-free for 1-2 years after the disease had swept through the rest of the state, suggesting that female migration patterns may influence the spread of WNS across the landscape.

English

Concomitant with the emergence and spread of white-nose syndrome (WNS) and precipitous decline of many bat species in North America, natural resource managers need modified and/or new techniques for bat inventory and monitoring that provide robust occupancy estimates. We used Anabat acoustic detectors to determine the most efficient passive acoustic sampling design for optimizing detection probabilities of multiple bat species in a WNS-impacted environment in New York, USA. Our sampling protocol included: six acoustic stations deployed for the entire duration of monitoring as well as a 4 x 4 grid and five transects of 5-10 acoustic units that were deployed for 6-8 night sample durations surveyed during the summers of 2011-2012. We used Program PRESENCE to determine detection probability and site occupancy estimates. Overall, the grid produced the highest detection probabilities for most species because it contained the most detectors and intercepted the greatest spatial area. However, big brown bats (Eptesicus fuscus) and species not impacted by WNS were detected easily regardless of sampling array. Endangered Indiana (Myotis sodalis) and little brown (Myotis lucifugus) and tri-colored bats (Perimyotis subflavus) showed declines in detection probabilities over our study, potentially indicative of continued WNS-associated declines. Identification of species presence through efficient methodologies is vital for future conservation efforts as bat populations decline further due to WNS and other factors.      Key words: White-nose syndrome, detection probability, Indiana bat, little brown bat.

Bat Species Diversity in the Boreal Forest of Northeastern Ontario, Canada

In southern Ontario, Canada, the range and distribution of bats is well known, but their activity in the northeastern part of the province (north of 47°N, east of 85°W) is poorly documented. Using acoustic sampling, we documented the occurrence of six species of bats in the boreal forest of northeastern Ontario: Eptesicus fuscus (Big Brown Bat), Lasiurus borealis (Eastern Red Bat), L. cinereus (Hoary Bat), Myotis lucifugus (Little Brown Bat), M. septentrionalis (Northern Long-eared Bat), and Lasionycteris noctivagans (Silver-haired Bat). Hoary Bats were recorded more frequently than all other species. Little Brown Bats were second-most frequently recorded, and the remaining four species were encountered (mean number passes/hour) significantly less often. Our records are the most northerly for Big Brown Bats in this part of Ontario. Although the other species were expected in this area, this is the first study to identify and confirm the bats present in the boreal forest of northeastern Ontario. This new information will contribute to efforts to conserve biodiversity in the province and may inform future studies or monitoring programs associated with the spread of white-nose syndrome in Ontario.

Characterization of 11 tetranucleotide microsatellite loci for the little brown bat (Myotis lucifugus) based on in silico genome sequences

Using an in silico approach, we identified tetranucleotide microsatellite loci from an existing whole genome shotgun DNA sequence of the little brown bat (Myotis lucifugus). Eleven loci were polymorphic, and exhibited a range from 4 to 25 alleles per locus (mean = 11). Observed heterozygosities ranged from 46 to 94%. Primers for the 11 loci were also tested for cross-species amplification in Myotis septentrionalis. These microsatellites will be useful for genetics-based studies of M. lucifugus, which are of increasing importance due to their conservation concern regarding the spread of white-nose syndrome.

Spread of white-nose syndrome on a network regulated by geography and climate

Wildlife and plant diseases can reduce biodiversity, disrupt ecosystem services and threaten human health. Emerging pathogens have displayed a variety of spatial spread patterns due to differences in host ecology, including diffusive spread from an epicentre (West Nile virus), jump dispersal on a network (foot-and-mouth disease), or a combination of these (Sudden oak death). White-nose syndrome is a highly pathogenic infectious disease of bats currently spreading across North America. Understanding how bat ecology influences this spread is crucial to management of infected and vulnerable populations. Here we show that white-nose syndrome spread is not diffusive but rather mediated by patchily distributed habitat and large-scale gradients in winter climate. Simulations predict rapid expansion and infection of most counties with caves in the contiguous United States by winter 2105-2106. Our findings show the unique pattern of white-nose syndrome spread corresponds to ecological traits of the host and suggest hypotheses for transmission mechanisms acting at the local scale.

Post‐Pleistocene range expansion of the recently imperiled eastern little brown bat (Myotis lucifugus lucifugus) from a single southern refugium

Myotis lucifugus, once among the most widespread and common bats in North America, has been forecast to be extirpated east of the Rockies in as few as 16 years by the spread of white-nose syndrome. Recent genetic research has demonstrated that this species is paraphyletic and part of a broader species complex; however, only one lineage (Myotis lucifugus lucifugus [M. l. lucifugus]) is present in eastern North America. I used molecular tools and niche modeling to validate this and investigate the role that historical biogeography has played in the phylogenetic and population genetic structure of this species to determine if the eastern subspecies represents an evolutionarily distinct population.To establish the genetic structure within M. l. lucifugus, I densely sampled maternity colonies in Minnesota and sequenced 182 individuals for a portion of cytochrome b. Phylogenetic reconstruction and a haplotype network were used to infer the relationships among mitochondrial haplotypes. Population growth statistics were calculated to determine if there was evidence of significant expansion, and an environmental niche model (ENM) was constructed based on conditions during the last glacial maximum (LGM) to illustrate potential glacial refugia. All individuals derived from a single mitochondrial lineage. Genetic evidence points to population growth starting approximately 18 kya. ENM results show that there was likely a single large southern refugium extending across the southeastern United States and possibly several isolated refugia in western North America. Myotis lucifugus lucifugus likely maintained both a large range and a large population during the peaks of the glacial cycles, and its population appears to have expanded following the retreat of the Laurentide ice sheet. This imperiled lineage likely diverged in isolation from other members of the M. lucifugus/western long-eared Myotis during the Pleistocene.