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Lyssa excreta: Defining parameters for fecal samples as a rabies virus surveillance method

  • Faith M. Walker ,

    Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

    Faith.Walker@nau.edu

    Affiliations School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States of America, Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America

  • Jordyn R. Upton,

    Roles Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

    Affiliations School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States of America, Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America

  • Daryn Erickson,

    Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – review & editing

    Affiliation TGen North Pathogen and Microbiome Division, Flagstaff, Arizona, United States of America

  • Zachary A. Barrand,

    Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – review & editing

    Affiliation TGen North Pathogen and Microbiome Division, Flagstaff, Arizona, United States of America

  • Breezy Brock,

    Roles Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

    Affiliation TGen North Pathogen and Microbiome Division, Flagstaff, Arizona, United States of America

  • Michael Valentine,

    Roles Data curation, Formal analysis, Investigation, Writing – review & editing

    Affiliation TGen North Pathogen and Microbiome Division, Flagstaff, Arizona, United States of America

  • Emma L. Federman,

    Roles Data curation, Formal analysis, Investigation, Writing – review & editing

    Affiliations School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States of America, Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America

  • Emma M. Froehlich,

    Roles Formal analysis, Investigation, Writing – review & editing

    Affiliations School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States of America, Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America

  • Lolita Van Pelt,

    Roles Data curation, Resources, Writing – review & editing

    Affiliation USDA APHIS Wildlife Services, Phoenix, Arizona, United States of America

  • Lias Hastings,

    Roles Data curation, Writing – review & editing

    Affiliation USDA APHIS Wildlife Services, Phoenix, Arizona, United States of America

  • Daniel E. Sanchez,

    Roles Formal analysis, Writing – review & editing

    Affiliations School of Forestry, Northern Arizona University, Flagstaff, Arizona, United States of America, Pathogen & Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America

  • David L. Bergman,

    Roles Resources, Writing – review & editing

    Affiliation USDA APHIS Wildlife Services, Phoenix, Arizona, United States of America

  • David M. Engelthaler,

    Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

    Affiliation TGen North Pathogen and Microbiome Division, Flagstaff, Arizona, United States of America

  • Crystal M. Hepp

    Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing

    Affiliation TGen North Pathogen and Microbiome Division, Flagstaff, Arizona, United States of America

Abstract

It is not possible to systematically screen the environment for rabies virus (RABV) using current approaches. We sought to determine under what conditions RABV is detectable from feces and other accessible samples from infected wildlife to broaden the number of biological samples that could be used to test for RABV. We employed a recently-developed quantitative RT-PCR assay called the “LN34 panlyssavirus real-time RT-PCR assay”, which is highly sensitive and specific for all variants of RABV. We harvested and tested brain tissue, fecal, and/or mouth swab samples from 25 confirmed RABV positive bats of six species. To determine if rabies RNA lasts in feces sufficiently long post-defecation to use it as a surveillance tool, we tested fecal samples from 10 bats at the time of sample collection and after 24 hours of exposure to ambient conditions, with an additional test on six bats out to 72 hours. To assess whether we could pool fecal pellets and still detect a positive, we generated dilutions of known positives at 1:1, 1:10, 1:50, and 1:200. For six individuals for which matched brain, mouth swab, and fecal samples were tested, results were positive for 100%, 67%, and 67%, respectively. For the first time test to 24 hours, 63% of feces that were positive at time 0 were still positive after 24 hours, and 50% of samples at 72 hours were positive across all three replicates. Pooling tests revealed that fecal positives were detected at 1:10 dilution, but not at 1:50 or 1:200. Our preliminary results suggest that fecal samples hold promise for a rapid and non-invasive environmental screening system.

Introduction

Rabies is a zoonotic disease of the central nervous system that invariably results in mortality [1]. It is caused by the RNA virus Rabies lyssavirus (RABV) and viruses from the Lyssavirus genus. RABV has the highest fatality rate of infectious diseases, with more than 59,000 human deaths globally each year [1]. Worldwide, dogs are the main RABV reservoir, but in the Americas where vaccination of dogs is widespread, bats generate most of the human rabies cases [2, 3]. In Latin America, the primary species causing infection is Desmodus rotundus (common vampire bat) [4], while in the northwestern and southeastern Perimyotis subflavus (tricolored bat) and Lasionycteris noctivagans (silver-haired bat) have variants of rabies that are responsible for a higher proportion of human and terrestrial mammal deaths [5]. In Arizona, part of the American Southwest, suburban outbreaks of the disease occur regularly in wildlife populations, and interactions between wildlife and residents results in human exposures each year [6]. Arizona is one of the leading U.S. states for rabid wildlife, with bats, skunks, and gray fox the most common reservoir species [7]. Patyk et al. [8] found that among U.S. bat species, those in the Southwest were more likely to be rabid.

Despite its proximity and serious nature, it is not possible to systematically screen the environment for RABV. The gold standard for rabies diagnostics is the direct fluorescent antibody (DFA) test, which requires fresh brainstem tissues held at cold chain temperatures, requirements that prevent surveillance using inexpensive, field-collected samples [9]. Additional testing by the US Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services is conducted through enhanced rabies surveillance using the direct rapid immunohistochemical test (DRIT) [10, 11] or as part of the rabies public health surveillance system. What is needed is a rabies detection approach based on readily available, non-invasive samples that can be applied broadly.

A recently-developed quantitative RT-PCR assay called the “LN34 panlyssavirus real-time RT-PCR assay” is highly sensitive and specific for all variants of rabies virus (RABV) [12, 13]. This assay was developed by a Centers for Disease Control (CDC) research group [13] and was found to be as or more sensitive than the DFA test [12]. It consists of a dual assay: the LN34 assay as well as a host species control β-actin real-time RT-PCR assay that signals presence of RNA in a sample and indicates PCR inhibition, extraction failure, or RNA degradation. Because the assay is highly sensitive, having succeeded with low quality and formalin-fixed samples, there is promise for non-traditional sample types such as feces, which contain intact and degraded nucleic acids [14]. Further, presence of RABV and other lyssaviruses in feces and saliva [15, 16] presents a surveillance opportunity with the LN34 assay, which has been shown to successfully detect RABV down to single digit copies of RNA [13].

Our overarching goal was to define and illustrate an effective and inexpensive surveillance system for rabies detection that can form the foundation of future statewide efforts to better understand public health risks. To address the goal, an environmental screening system for detection of RABV from feces first required evaluation of the strengths and limitations of feces as a potential sample type. We tested 1) RABV quantity in brain stem, mouth swab, and fecal material from infected individual bats; 2) evaluated RABV positivity of feces at ambient temperatures over 72 hours to better understand how long RABV may be detectable post defecation; and, 3) calculated RABV positivity of pooled fecal samples to determine how many fecal samples can be collected together to still return a positive result. We hypothesized that bat fecal samples could be reliably employed to detect RABV using the LN34 assay.

Materials and methods

Sample acquisition

This study was approved by the Institutional Animal Care and Use Committee (IACUC) at Northern Arizona University (Protocol 18–012). Carcasses and swabs of brain stems from bats found to be RABV positive via DRIT were provided by USDA Wildlife Services. Arizona bats evaluated included Lasiurus xanthinus (western yellow bat), Eptesicus fuscus (big brown bat), Nyctinomops femorosaccus (pocketed free-tailed bat), Tadarida brasiliensis (Mexican free-tailed bat), Parastrellus hesperus (canyon bat), Lasiurus ega (southern yellow bat), and Antrozous pallidus (pallid bat). We stored bats at -80°C for up to 2 years prior to processing. Necropsies were performed in a BSL3 facility by staff with pre-exposure rabies vaccinations. We harvested feces from the intestines of bats using sterile spatulas, scalpels, medical scissors, and tweezers, and used sterile cotton-tipped swabs to collect saliva. To collect feces, we used a spatula to apply pressure from the abdomen to the rectum using a downward rotating motion. If unsuccessful, we used medical scissors to cut into the lower abdomen and to the large intestine, followed by placing pressure on the intestine so that the feces were freed from the rectal side. We minimized risk of RABV cross-contamination of fecal samples from other infected tissues by keeping feces physically isolated from the carcasses, using sterile instruments, and immediately depositing feces into DNA/RNA Shield (Zymo Research, Irvine, CA, USA). The lack of heads of many of our carcasses (all except the brain, saliva, and fecal test) also reduced chances of cross-contamination of feces. Samples were frozen at -80°C until RNA extraction and were freeze-thawed 1–2 times.

LN34 panlyssavirus real-time RT-PCR assay

Because the real-time PCR system and reagents differed from previous work [12, 13], we determined the calibration curve and limit of detection (LOD) for the LN34 RT-qPCR assay in our lab. We estimated LOD (95% detection in a single qPCR replicate) using probit modeling [17]. This method allowed us to predict an effective LOD up to eight technical replicates per sample to inform experimental design. We used an 8-level, 10-fold standard curve of the RABV synthetic sequence (gBlocksTM), ranging from 20,000,000 to 2 copies per reaction, run with three replicates per level. We also used these standard curves to estimate limit of quantification (LOQ), regression coefficients, and PCR efficiency.

We extracted RNA using the Zymo Direct-Zol RNA Miniprep Kit protocol. We performed the LN34 and β-actin RT-qPCRs on a QuantStudio 7 Flex (ThermoFisher Scientific, Waltham, MA, USA) as described previously [12, 13]. To summarize, for each sample, the LN34 assay targets the lyssavirus RNA genome and the β-actin assay targets host β-actin mRNA. Each 10 μL reaction contained Luna Probe One-Step RT-qPCR 4X Mix (New England Biolabs, Ipswich, MA, USA), primers (10 μM), probe (5 μM), and 2 μL RNA template. Samples were run as three replicates for the LN34 assay and a singleplex for the β-actin assay, and each run contained synthetic positive control RNA provided by the Center for Disease Control (Atlanta, GA, USA) and no template control reactions in triplicate. We used the LN34 assay diagnostic algorithm for post-mortem brainstem samples to determine the positive/inconclusive/negative thresholds [12].

Tissue types, fecal time tests, and pooling

For individuals of five bat species (Lasiurus xanthinus, n = 1; Lasiurus ega, n = 1; Nyctinomops femorosaccus, n = 1, Tadarida brasiliensis, n = 1; Parastrellus hesperus, n = 2), we tested three tissue types (brainstem, saliva/mouth cells via mouth swab, and guano) with the LN34 assay. We also performed two time tests to determine how long feces remained positive at ambient conditions (mean temperature 22.5°C and mean relative humidity 19.5%). We used feces of 1) ten RABV positive Parastrellus hesperus to 24 hours (0 and 24 hours), and, 2) six RABV positive bats (Eptesicus fuscus, n = 1; Antrozous pallidus, n = 1; Lasiurus xanthinus, n = 1;, Tadarida brasiliensis, n = 3) to 72 hours (0, 24, 48, and 72 hours). Each fecal sample was divided into two (for the 24 hour test) or four (for the 72 hour test) portions. When each time point was reached, we added 1 mL of DNA/RNA Shield to the fecal matter and stored the samples at -80°C until RNA extraction. To determine the extent to which fecal samples could be pooled in a field scenario (assuming the most dilute case of only one fecal sample from a RABV positive bat), we tested two known positive fecal samples (Eptesicus fuscus and Tadarida brasiliensis). We used 10 μL from 20 known RABV negative bat fecal extractions to make a negative pool. This was used to dilute the positive samples to 1:1, 1:10, 1:50, and 1:200.

Results

At 99% efficiency (i.e., how well PCR amplification doubles according to mathematical expectations), the assay can detect from as few as 8 starting copies per reaction, assuming three qPCR replicates per sample (Table 1). For the six individuals for which we tested matched brain, mouth swab, and fecal samples, results were RABV positive for 100%, 67%, and 67% (Table 2), respectively. For the 24 hour time test, 63% of feces that were positive at time 0 were still positive after 24 hours (Table 3). For the 72 hour time test, all three replicates were positive for 50% of samples at 72 hours (Table 4). Pooling tests revealed that fecal RABV positives were detected at 1:10, but not at 1:50 or 1:200 (Table 5). Data are available in S1 Table.

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Table 1. Standard curve regression coefficients, quantification reliability [PCR efficiency and limit of quantification (LOQ)], and sensitivity estimates [limit of detection (LOD) via probit modeling].

Estimates of LOD are predicted assuming n replicates per sample (i.e., effective LOD), with 95% confidence intervals in brackets. The bolded row highlights the effective LOD reflecting the proposed number of qPCR replicates to run for regular screening.

https://doi.org/10.1371/journal.pone.0294122.t001

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Table 2. Using the LN34 assay, rabies virus was detected in the brainstem, mouth swab, and feces of rabid bat carcasses.

Values are Ct means of three replicates, with standard deviations in parentheses. BA = β-actin.

https://doi.org/10.1371/journal.pone.0294122.t002

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Table 3. Positivity of fecal samples harvested from ten rabid Parastrellus hesperus carcasses and tested at time 0 and after 24 hours at ambient conditions.

https://doi.org/10.1371/journal.pone.0294122.t003

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Table 4. Positivity of fecal samples harvested from rabid bat carcasses and tested at 24, 48, and 72 hours at ambient conditions.

At 72 hours, at least one replicate was positive for 4 of 6 samples (a) and all three replicates were positive for 3 of 6 samples (b). Bat species tested included Eptesicus fuscus (n = 1), Tadarida brasiliensis (n = 3), Antrozous pallidus (n = 1), and Lasiurus xanthinus (n = 1).

https://doi.org/10.1371/journal.pone.0294122.t004

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Table 5. Positivity and amplification success of two RABV fecal samples declined at dilutions exceeding 1:10.

Dilutions positive for rabies virus are in bold; LN34 is mean Ct over three replicates for the LN34 assay, with standard deviation in parentheses; BA is Ct for the β-actin assay; # Amp is the number of successful amplifications; and, the positive control was a synthetic sequence provided by the Center for Disease Control. RABV fecal 1 was from a Tadarida brasiliensis and RABV fecal 2 was from an Eptesicus fuscus.

https://doi.org/10.1371/journal.pone.0294122.t005

Discussion

Bat fecal samples hold promise as a surveillance method for rabies virus. The successful testing of feces, for which nucleic acids are naturally degraded and in a matrix containing multiple inhibitors [14], was likely aided by a short amplicon; the LN34 assay amplifies a 165 bp region. We found that fecal samples of postmortem rabid bats yielded PCR Ct values that were higher than that of brain tissue (i.e., lower quantity), but the majority remained positive. It may be that a lag time between animal death and deposition in a freezer plus two years of storage led to higher Ct values, and this may have had more of an impact on fecal than brain stem positivity. That said, half of the fecal samples were positive to at least 72 hours at ambient temperatures, which suggests that there is time post-defecation to collect feces and for rabies to still be detectable. Feces could still be detected when pooled at a ratio of 1:10 (one fecal pellet with rabies virus collected together with nine without rabies virus), which provides guidance for pooling of feces in the field, if that is desirable. Notably, we used the established thresholds for brain tissue, but it may be that new, higher thresholds to assign positivity could be set for this sample type [12]. Gigante et al. [12] suggested that future studies determine whether the Ct threshold of 35 is appropriate for samples such as feces. Indeed, the CDC now uses an LN34 Ct threshold of 40 for saliva, skin, and formalin-fixed tissues (C. Gigante, pers. comm.). It is important to note that a cutoff value of 40 would have rendered most of the feces in this study RABV positive.

A limitation of this study was a relatively small sample size with a broad range of taxa, but its findings were supported by Allendorf et al. [15] who found that about 40% of feces of rabid bats from Brazil were positive using a different RT-PCR assay, and by Conrardy et al. [16] who found three families of viruses in fecal swabs of bats from Kenya. Further, Bergner et al. [18] detected RABV in Desmodus rotundus (common vampire bat) feces, and suggested that non-invasive samples such as feces may be useful for surveillance since local levels have been known to intermittently increase. We suggest that next steps involve testing a larger number of individuals from each species to determine whether there are consistent species differences in Ct values, testing fecal RABV positivity and positivity of pooled samples in a more controlled environment (i.e., captive bats), and testing a large number of samples in a field scenario.

Fecal samples will allow determination of rabies presence at a site or region, and will do so at a scale that is not currently possible with postmortem tissues. It will be possible, for example, to non-destructively sample bat roosts to determine the enzootic prevalence and seasonality of RABV. The assay is inexpensive, and thus it is possible to sample broadly, and to do so in any locale that has RT-PCR capability. Further, it is likely that feces from mammals other than bats can be targeted. For instance, surveillance programs using canine feces would benefit vaccination campaigns and the effort to eliminate dog-mediated human rabies deaths by 2030 [19]. Finally, it will be possible to explore pairing positive fecal samples with sequencing methods to determine the phylogeographic dynamics of species-specific variants and better understand the evolving risk of zoonotic expansion.

Supporting information

S1 Table. qPCR results for sample type comparison, time tests, and pooling experiment.

https://doi.org/10.1371/journal.pone.0294122.s001

(XLSX)

Acknowledgments

We thank C. Gigante and Y. Li of the Poxvirus and Rabies Branch, Center for Disease Control and Prevention, for assay advice and for providing the positive control. We also thank two anonymous reviewers for helpful comments on the manuscript.

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