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17 July 2023 Are Pacific Chorus Frogs (Pseudacris regilla) Resistant to Tetrodotoxin (TTX)? Characterizing Potential TTX Exposure and Resistance in an Ecological Associate of Pacific Newts (Taricha)
Katherine O. Montana, Valeria Ramírez-Castañeda, Rebecca D. Tarvin
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Abstract

Animals that frequently encounter toxins often develop mechanisms of toxin resistance over evolutionary time. Both predators that consume toxic prey and organisms in physical contact with a toxin in their environment may experience natural selection for resistance. Based on observations that Pacific Chorus Frogs (Pseudacris regilla) sometimes eat and mistakenly amplect tetrodotoxin (TTX)-defended Taricha newts, we predicted that P. regilla may possess TTX resistance. We compared amino acid sequences of domain IV of the muscle voltage-gated sodium channel gene SCN4A (NaV1.4) in populations of P. regilla that are sympatric and allopatric with Taricha. We identified a single substitution in NaV1.4 of P. regilla at a conserved site in the pore loop where TTX binds. Although the role of this site in TTX resistance has not been functionally assessed, both allopatric and sympatric P. regilla had this substitution, along with several other reptiles and amphibians, suggesting that it may be unrelated to TTX exposure from Taricha. Thus, there is no conclusive evidence that P. regilla possesses TTX resistance encoded by amino acid substitutions in this domain. California occurrence data from the last 50 yr indicate that Taricha activity peaks in January while the activity of P. regilla peaks in April, with times where the species may come into contact. However, P. regilla may not be exposed to levels of TTX from Taricha high enough to select for mutations in NaV1.4. Other unidentified mechanisms of TTX resistance could be present in P. regilla and other species sympatric with toxic newts.

Los animales que están expuestos frecuentemente a toxinas suelen desarrollar mecanismos de resistencia a las mismas a lo largo de su historia evolutiva. Tanto los depredadores que consumen presas tóxicas como los organismos en contacto físico con una toxina o contaminante en su entorno pueden experimentar presiones de selección natural hacia mecanismos de resistencia. Observaciones de campo han reportado a las ranas coro del Pacífico (Pseudacris regilla) comiendo y amplexando por error a salamandras del género Taricha que secretan tetrodotoxina (TTX). Por lo tanto, surge la hipótesis de que P. regilla podría poseer resistencia al TTX. Probamos esta hipótesis comparando las secuencias de aminoácidos del gen del canal de sodio voltaje dependiente muscular SCN4A (NaV1.4), que es una proteína diana de la TTX, en poblaciones de P. regilla que son simpátricas y alopátricas con Taricha. Identificamos una única sustitución en NaV1.4 de P. regilla en un sitio conservado en el ploop del poro donde se une la TTX. Aunque el papel de este sitio en la resistencia a la TTX no ha sido evaluada funcionalmente, tanto las P. regilla alopátricas como en las poblaciones simpátricas tenían esta sustitución, junto con varios otros reptiles y anfibios, lo que sugiere que esta sustitución no está relacionada con la exposición a la TTX. Por lo tanto, no hay pruebas concluyentes de que P. regilla posee resistencia a la TTX debida a cambios aminoacidícos en el dominio IV. Por otro lado, los datos de ocurrencia en California de los últimos 50 años indican que la actividad de Taricha alcanza su máximo en enero, mientras que la actividad de P. regilla alcanza su máximo en abril, con algunos momentos en los que las especies se superponen en actividad y pueden entrar en contacto. Sin embargo, es posible que P. regilla no esté expuesta a niveles de TTX de Taricha lo suficientemente altos como ejercer una presión de selección que fije mutaciones en el canal de sodio. No obstante, otros mecanismos no identificados para adquirir resistencia al TTX podrían estar presentes en P. regilla y otras especies simpáticas a las salamandras tóxicas.

Newts of the genus Taricha (Taricha torosa, T. granulosa, T. sierrae, and T. rivularis, herein collectively referred to as Taricha) wield tetrodotoxin (TTX) on their skin (Brodie et al., 1974; Mailho-Fontana et al., 2019; Reimche et al., 2020) that likely functions as an antipredator defense (Brodie et al., 2002; Williams et al., 2010; Bucciarelli et al., 2017). TTX is a neurotoxin that blocks voltage-gated sodium channels by binding to highly conserved regions of the channel, fitting in the outer pore of the channel and blocking proper transport of Na+ ions (Hille, 2001). TTX binding prevents action potentials from propagating, resulting in cessation of nerve signals (Hille, 2001). In vertebrate animals lacking TTX resistance, ingested TTX can temporarily paralyze or, in some cases, kill the organism––knowledge that has been held for millennia by Egyptian and Chinese cultures and more recently quantified by Western researchers (Hanifin, 2010). The poison usually becomes fatal when respiratory muscles fail, resulting in suffocation (Brodie, 1968). The San Francisco Bay Area in California is one of two known hotspots of the arms race between Taricha newts and their garter snake predators (Brodie et al., 2002; but see Hanifin et al., 2008). Here we explore the idea that high levels of TTX defenses in newts may select for resistance in other sympatric organisms outside the predator–prey relationship, namely Pacific Chorus Frogs, Pseudacris regilla.

Taricha and their relatives possess amino acid changes in the muscle voltage-gated sodium channel NaV1.4 that help them resist their own TTX defenses (Hanifin and Gilly, 2015; Gendreau et al., 2021b). Amino acid substitutions in voltage-gated sodium channels (VGSCs) alter the shape of the pore loop (p-loop) and prevent TTX from binding; mutations in domain IV (DIV) of NaV1.4 are especially common and well studied in resistant animals (Choudhary et al., 2003; Geffeney et al., 2005; Tikhonov and Zhorov, 2005; Jost et al., 2008; Hanifin and Gilly, 2015). Amino acid substitutions in the p-loop can affect the function of VGSCs by altering sodium ion selectivity, gating properties, or ion conductance; hence, trade-offs may exist between TTX resistance and organismal function (Chiamvimonvat et al., 1996; Lee et al., 2011; Feldman et al., 2012; Hague et al., 2018; but see Moniz et al., 2021). Therefore, amino acid changes are often confined to specific conserved regions that can provide resistance while allowing the organism to maintain sodium channel functionality (Feldman et al., 2012). The presence of amino acid substitutions that alter toxin binding is a mechanism known as target-site insensitivity and is the focus of this study.

Tetrodotoxin has been shown to affect the behavior of organisms present in aquatic systems. Larval T. torosa use TTX as a cue to detect and avoid adult T. torosa that sometimes cannibalize larvae (Zimmer et al., 2006). TTX in water can also slow dragonfly nymph consumption of T. torosa larvae (Bucciarelli and Kats, 2015). New Zealand Mud Snails (Potamopyrgus antipodarum) move out of their stream environment when encountering biologically relevant levels of TTX or chemical cues from T. torosa containing TTX (Ota et al., 2018). Water containing TTX also increases newt trematode parasite mortality (Calhoun et al., 2017). While the concentration of TTX in natural waterways is unknown in our study, TTX produced by T. torosa may affect other organisms in the same aquatic environment, including P. regilla.

Pseudacris regilla may come into contact with TTX in pond water shared with Taricha or via direct contact with Taricha, sometimes in mistaken amplexus behavior or even attempted predation (Fig. 1). Given that P. regilla have permeable skin, we expected that they would be exposed to TTX through physical contact with newts or by occupying pond water that contains newts. We hypothesized that TTX exposure has caused selection for TTX resistance in P. regilla populations that are micro-sympatric with Taricha. We aimed to test whether sympatry of Taricha newts with P. regilla selected for target-site insensitivity in domain IV of the skeletal muscle VGSC (NaV1.4) of P. regilla.

Fig. 1.

Examples of Pseudacris regilla and Taricha torosa interactions: (A) Amplexus in Briones Regional Park, Martinez, California, 1 March 2019, photo credit K. Montana, user kmontana on iNaturalist (CC BY-NC 4.0; observation 100725148); (B) Another instance of amplexus in Briones Regional Park, Martinez, California, 21 February 2009, photo credit user ap2il on iNaturalist (CC BY-NC 4.0; observation 550227); (C) Attempted predation on T. torosa by P. regilla in Mark West Springs, California, 1 March 2014, photo credit user tiwane on iNaturalist (CC BY-NC 4.0; observation 2312). The frogs did not appear to be harmed in any of these scenarios, though the tongue posture in C suggests some numbing effects from newt exposure.

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Our study centered on California populations, examining Taricha and P. regilla that are currently sympatric and allopatric. We conducted demographic surveys of T. granulosa, T. torosa, and P. regilla at three San Francisco Bay Area ponds where the species co-occur to estimate the extent to which P. regilla may encounter TTX. We supplemented our surveys with occurrence data available through the Global Biodiversity Information Facility (GBIF) to better estimate overlap of annual activity patterns and to determine the degree of sympatry between Taricha and P. regilla. To determine whether P. regilla has structural modifications in the muscle VGSC NaV1.4 that may provide TTX resistance, we sequenced and reviewed amino acid residues encoded by domain IV of the SCN4A gene. Some amino acid substitutions in domain IV of SCN4A are known to confer resistance to TTX and have been found in many organisms that either have TTX defense or consume TTX-defended prey (Geffeney et al., 2005; Venkatesh et al., 2005; Jost et al., 2008; Feldman et al., 2012; Hanifin and Gilly, 2015; Gendreau et al., 2021b). We hypothesized that, if the presence of Taricha selects for TTX resistance in P. regilla, populations sympatric with Taricha would have substitutions in the domain IV p-loop of NaV1.4 while populations that are allopatric would not. Our work provides insight into the potential cascading ecological consequences of chemical defenses that evolved in the context of predator–prey dynamics.

Materials and Methods

Field Work.—We studied Taricha and P. regilla at four San Francisco Bay Area ponds and conducted surveys at three sites where T. granulosa, T. torosa, and P. regilla co-occur: two sites in Briones Regional Park in Martinez, Contra Costa County, California (Old Briones Road Trail 1 [OBRT 1] at 37.94571°N, 122.13395°W, and OBRT 2 at 37.94352°N, 122.14102°W, named after the trail closest to the sites) (datum WGS84 for all coordinates) and one site at the Japanese Pool (37.87440°N, 122.23760°W) of the University of California Botanical Garden (UCBG) in Berkeley, Alameda County, California ( Fig. S1 (hpet-57-02-08_s01.docx)). OBRT 1 and OBRT 2 are in an unshaded area of grazed open grassland that lies within an oak woodland habitat, and they connect to each other when water levels are high. The UCBG Japanese Pool is a human-constructed pool with a concrete floor and sides, located under tree cover within the visitor area of UCBG ( Fig. S1 (hpet-57-02-08_s01.docx)). We selected these three ponds because we knew them to contain populations of P. regilla as well as T. torosa and T. granulosa. Prior ecological work shows that P. regilla and T. torosa are sympatric in the San Francisco Bay Area (Preston and Johnson, 2012). We also collected specimens from a fourth pond (Mountain Lake) located in the Presidio of San Francisco (37.788496°N, 122.468605°W) that has historically contained P. regilla but no Taricha (records show absence of Taricha since at least 1966; J. Young, pers. comm.). Mountain Lake is a natural lake surrounded by grass that receives run-off from the nearby Presidio Golf Course ( Fig. S1 (hpet-57-02-08_s01.docx)). From October 2019 to February 2020, we conducted six surveys at the two Briones ponds and five surveys at UCBG, with surveys at each site occurring 3–4 wk apart from one another. We were unable to gather abundance data after this period because the parks were closed from February until October 2020 during the early months of the COVID-19 pandemic.

Two researchers (usually KOM and VRC) conducted surveys in the morning or early afternoon (between 0800 and 1330 h). During each survey, surveyors split the pond perimeter into 7.62-m sections, and circled the pond on foot, counting how many individuals of each species were visible in the water from the shore within each transect. We note that surveyors were only able to count the number of visible newts. OBRT 1 and OBRT 2 were murky with plants and algae in which newts tended to hide. Although the surface of the Japanese Pool at UCBG was glassy, the pool was filled with plants that likely obscured observations. Surveyors also counted the numbers of visible, individual adult P. regilla; P. regilla that were calling but not visible were not counted because surveyors could not ascertain if multiple calls were coming from a single or a few individuals. For the purposes of this study, we did not differentiate between T. torosa and T. granulosa when we recorded their occurrences because they both wield TTX that may affect organisms in the pond water, and we could not easily identify individuals to species from the pond shores. We counted large (∼5 cm or longer) Taricha larvae, adult Taricha, and T. torosa egg masses, which are conspicuous groups of eggs; in the sister taxon T. granulosa, eggs are known to possess TTX via vertical transfer from the parent (Gall et al., 2012). The much smaller T. granulosa eggs are typically hidden in the substrate and are more difficult to see, so we did not include them in our survey. To simplify our survey protocol, we counted larval Taricha, which also have some amount of TTX (Gall et al., 2011), together with adults. We plotted survey results using R version 4.1.1 and the packages ggplot2 v.3.3.5 and ggpubr v.0.4.0 (Wickham, 2016; Kassambara, 2020; R Core Team, 2021) ( Fig. S2 (hpet-57-02-08_s01.docx)).

After COVID-19 conditions permitted field work to continue in October 2020, we collected one P. regilla from the dry bed of OBRT 2 and eight P. regilla from the east arm of Mountain Lake in the Presidio of San Francisco for sequencing. We surveyed OBRT 1 and UCBG at the same time but did not find any P. regilla at either location; OBRT 1 was dry.

GBIF Occurrences and Sympatry.—We estimated seasonal patterns of P. regilla and Taricha activity across the state of California and within the San Francisco Bay Area (north boundary: 38.66226°N, south boundary 37.09298°N, east boundary: 121.12701°W, west boundary 123.23579°W) by reviewing annual patterns of GBIF occurrence data of P. regilla and Taricha from 1 January 1971 to 23 November 2021 (GBIF) using the following R packages: RColorBrewer v.1.1.2, ggplot2 v.3.3.5, chron v.2.3.56, cowplot v.1.1.1, and dplyr v.1.0.7 (Neuwirth, 2014; James and Hornik, 2020; Wilke, 2020; Wickham et al., 2021). In our search terms for GBIF, we took into account that the taxonomy of Pseudacris regilla has changed several times over the last few decades (Recuero et al., 2006a,b; Fouquette and Dubois, 2014; Duellman et al., 2016). iNaturalist categorizes some Pseudacris regilla (e.g., in the San Francisco Bay Area) as Pseudacris sierra. However, these distinctions are not universally accepted by the herpetology community (Barrow et al., 2014; Crother et al., 2017). Here we consider P. sierra, P. hypochondriaca, and Hyla regilla synonyms of Pseudacris regilla. We downloaded occurrence data from GBIF for the P. regilla synonyms listed here and for all currently recognized species of Taricha (T. granulosa, T. rivularis, T. sierrae, T. torosa), as well as those no longer recognized (T. lindoei, T. miocenica, and Palaeotaricha oligocenica) and individuals identified only to the genus Taricha. GBIF data include Research Grade iNaturalist observations in addition to museum and specimen records.

We aimed to sequence NaV1.4 from P. regilla that were sympatric and allopatric with Taricha. We originally classified P. regilla tissue samples as sympatric if they were collected within 35 km or 500 m of elevation from the nearest Taricha occurrence documented on GBIF as of 23 November 2021; this included 11 individuals from collections and the single P. regilla collected at OBRT 2. We classified allopatric P. regilla samples as those individuals collected at least 35 km or 500 m in elevation away from the nearest Taricha observation; this included 18 individuals from collections and the eight P. regilla from the Mountain Lake field site in the Presidio ( Table S1 (hpet-57-02-08_s01.docx)).

To review general patterns in geographic range overlap between species, we plotted P. regilla and Taricha GBIF occurrence data from the western United States, as well as localities of museum samples we sequenced using ggplot2 v.3.3.5 and tidyverse v.1.3.1 (Wickham et al., 2019; GBIF, 2022). We plotted occurrence data of these species to confirm that museum tissues were from locations where P. regilla and Taricha are allopatric or sympatric. Specimens that were collected from localities within overlapping hexagons were considered to be sympatric; none of our categorizations changed. The binwidth of each hexagon was 0.05 in the vertical and horizontal directions. We note that this visualization, though qualitatively useful, is limited in several ways. For example, our designations of sympatry versus allopatry are not indicative of species distributions prior to 1971. Additionally, iNaturalist data included in the GBIF data can be biased; for instance, individuals are unlikely to post multiple images of a single species at a site and observations can be more highly concentrated in regions where iNaturalist is well known (Hochmair et al., 2020). Future studies may consider estimating more accurate species distribution models.

DNA Sequencing and Analysis.—We selected 29 liver tissues of P. regilla from the Museum of Vertebrate Zoology at the University of California, Berkeley to broaden our geographic sampling beyond the San Francisco Bay Area ( Table S1 (hpet-57-02-08_s01.docx)). In total, we sequenced NaV1.4 from 12 P. regilla that were sympatric with Taricha and 26 that were allopatric, including museum samples and samples that we collected from our field sites in the Bay Area. We predicted that NaV1.4 sequences from sympatric, but not allopatric, P. regilla would show amino acid substitutions potentially conferring TTX resistance. We also sequenced NaV1.4 from two close relatives of P. regilla, Pseudacris cadaverina, and Acris crepitansTable S1 (hpet-57-02-08_s01.docx)). The individuals of P. cadaverina and A. crepitans are from locations far from Taricha and, thus, were likely not exposed to TTX from Taricha. However, the range of A. crepitans overlaps with another TTX-bearing newt species, Notophthalmus viridescens (Powell et al., 2016), so they may be exposed to TTX as well. Additionally, while P. cadaverina can be sympatric with Taricha (Stebbins and McGinnis, 2018), we chose a specimen from the midwestern United States that was far from any known Taricha localities.

If TTX from newts selects for mutations in NaV1.4 in sympatric frog species, we would expect to find amino acid substitutions in NaV1.4 of A. crepitans as well as in NaV1.4 of P. regilla sympatric with Taricha. In contrast, we expected to find no resistance-conferring amino acid substitutions in allopatric P. regilla or in P. cadaverina.

We extracted DNA from tissues according to the Miller et al. (1988) salt-extraction protocols, with modifications (see   Supplementary Data (hpet-57-02-08_s01.docx) for details). The primers used for P. regilla samples targeted exon 24 (DIV segment 6 and p-loop) of the gene SCN4A: 2268F_SCN4A 5′-TCTCCCGGCCCTCTTCAATA-3′ and 2681R_SCN4A 5′-TCGTCCTCGCATAAAGGCTC-3′ (Tarvin et al., 2016). We added 0.5 µL of MgCl2 to each PCR sample. PCR protocols were as follows: an initial denaturation for 2 min at 94°C; 35 cycles of 94°C at 30 sec for denaturation, an annealing temperature of 54°C for 30 sec, and an elongation temperature of 72°C for 45 sec; and a final extension time of 7 min at 72°C. PCR products were run on an agarose gel, purified with ExoSAP-IT PCR Product Cleanup Reagent (ThermoFisher Scientific, 78201.1.ML) and sequenced using the reverse primer 2681R_SCN4A at the University of California, Berkeley DNA Sequencing Facility. For PCR and sequencing samples of P. cadaverina and A. crepitans, we used the same protocol and forward primer, but the reverse primer was redesigned based on the DIV SCN4A P. regilla sequences we produced: P.regilla_SCN4AD4_R 5′-ACTGCTTTCTTCTGTGGCCAC-3′.

Using BLAST (Altschul et al., 1990) with the P. regilla NaV1.4 sequence as a query, we obtained 180 previously published representative sequences of SCN4A from other herpetofauna including salamandrids, dendrobatids, snakes, and lizards with available data on GenBank and DataDryad ( Table S2 (hpet-57-02-08_s01.docx); Gendreau et al., 2021a). We compare these SCN4A sequences, as well as those of P. cadaverina and A. crepitans, with SCN4A of our P. regilla samples. Of the additional 180 sequences added, Erythrolamprus epinephelus (=Liophis epinephelus), Rhabdophis tigrinus, Thamnophis sirtalis, Thamnophis atratus, T. torosa, T. granulosa, S. salamandra, Tylototriton shanjing, and other salamandrids are either confirmed or hypothesized to possess target-site insensitivity to TTX via mutations in DIV of NaV1.4 (Feldman et al., 2009, 2012; Hanifin and Gilly, 2015; Ramírez-Castañeda, 2017; Gendreau et al., 2021b; Vaelli et al., 2020). We used Rattus norvegicus as a reference (UniProt number P15390) species that has not been documented to be resistant to TTX.

We identified the location of the DIV p-loop in NaV1.4 based on protein domains inferred by Tikhonov and Zhorov (2005), and we numbered the residues according to SCN4A of R. norvegicus (UniProt number P15390). We aligned sequences using Clustal Omega in Geneious Prime 2020.1.1 (Sievers et al., 2011) and reviewed the alignment by eye for amino acid differences between sequences, focusing on residues that have been shown to provide TTX resistance. To visualize the evolutionary history and variety of substitutions in the DIV ploop in NaV1.4 in our samples and other amphibians and reptiles, we estimated a phylogeny of the NaV1.4 DIV sequences using maximum likelihood on the IQ-Tree web server, with two partitions (one for codon positions 1 and 2, another for codon position 3), the GTR + G substitution model, and support assessed using 1000 ultrafast bootstraps and the SH-aLRT test (Nguyen et al., 2015; Chernomor et al., 2016; Trifinopoulos et al., 2016; Hoang et al., 2018; IQ-Tree web server  http://iqtree.cibiv.univie.ac.at/). We edited and visualized the phylogeny using the Interactive Tree of Life (Letunic and Bork, 2021).

Results

Field Surveys.—While we did not observe P. regilla at OBRT 2 or UCBG, their abundance at OBRT 1 peaked early in the observation period at 32 individuals on the first survey date (20 October 2019). For OBRT sites, Taricha abundance peaked at the beginning of February; for the UCBG, abundance was low, and we may not have observed the seasonal peak (surveys were suspended at the end of February 2020 because of the COVID-19 pandemic). Taricha torosa egg masses were most abundant at the beginning of February 2020 at OBRT 1 and OBRT 2, while they were most abundant at UCBG at the end of February (though we cannot be certain these are true peaks because our surveys ended before March 2020) ( Fig. S2 (hpet-57-02-08_s01.docx)).

GBIF.—California-wide GBIF observations for P. regilla and Taricha from 1 January 1971 to 23 November 2021 indicate two seasonal peaks of P. regilla abundance in April and August, while Taricha peaks in January ( Fig. S3 (hpet-57-02-08_s01.docx)). Though the abundance peaks do not occur at precisely the same time, P. regilla and Taricha do overlap with one another and, thus, the species have opportunities to interact such that Taricha could expose P. regilla to TTX. These data are summarized across California and thus represent average activity across a range of habitat types. Nevertheless, when the data are constrained to a square roughly representing the San Francisco Bay Area (north boundary 38.66226°N, south boundary 37.09298°N, east boundary 121.12701°W, west boundary 123.23579°W), the results are similar, indicating a peak for Taricha in January and a peak for P. regilla in March ( Fig. S4 (hpet-57-02-08_s01.docx)). Along the west coast of the United States, patterns of geographic sympatry estimated from GBIF occurrence data vary substantially (Fig. 2). Hot spots of sympatry were found in Humboldt County, the San Francisco Bay Area, the Los Angeles area, and northern Oregon, although much of each taxon's range does not overlap with that of the other.

Fig. 2.

Map showing overlap of Pseudacris regilla and Taricha occurrences on the west coast of the United States. Data are from GBIF, collected through 23 May 2022 for Taricha and through 6 June 2022 for P. regilla. P. regilla museum specimens that are sympatric with Taricha are indicated by pink triangles; P. regilla museum specimens allopatric with Taricha are indicated by blue triangles; field sites are indicated by black diamonds. Geographic regions with only Taricha occurrences are indicated by blue hexagons; those with only P. regilla are indicated by orange hexagons; regions where Taricha and P. regilla overlap are indicated by brown hexagons.

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Amino Acid Changes.—We found one amino acid change (I1519M, numbered according to R. norvegicus, UniProt number P15390) within the DIV p-loop of the sodium channel protein NaV1.4 in P. regilla compared with a sequence of R. norvegicus (a common species used in comparative TTX studies [e.g., Tikhonov and Zhorov, 2005; Tarvin et al., 2016] as it represents the mammalian TTX-sensitive NaV1.4 [Chahine et al., 1994]) (Figs. 3, S5). Importantly, there were no observed differences in amino acid sequences between P. regilla specimens that were sympatric and allopatric with Taricha. Close relatives of P. regilla (P. cadaverina or A. crepitans) did not possess the I1519M substitution, suggesting that the mutation arose within P. regilla or its ancestor.

Fig. 3.

Amino acid sequence variation in the domain IV p-loop of the voltage-gated sodium channel NaV1.4 in Pseudacris, Acris, and outgroup sequences retrieved from GenBank, mapped onto a gene tree inferred from 381 bp of NaV1.4 domain IV. Amino acid positions are numbered according to Rattus norvegicus, UniProt number P15390, and the p-loop position is drawn according to Tikhonov and Zhorov (2005). The amino acid substitution I1519M is found in Pseudacris regilla as well as Nanorana parkeri, Bufo gargarizans, Bufo bufo, Pogona vitticeps, Charina bottae, and Rhabdophis tigrinus. Taxa that are TTX-defended and have a TTX-resistant NaV1.4 are shown in yellow (Hanifin et al., 2015; Gendreau et al., 2021b). Groups that are not TTX-defended but have TTX resistance via target-site insensitivity in NaV1.4 or another mechanism are shown in dark blue (Feldman et al., 2012; Feldman et al., 2016). See  Fig. S5 (hpet-57-02-08_s01.docx) for branch support values and additional sequence data.

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Discussion

The Taricha–Thamnophis system is a well-studied example of predator–prey interactions involving a toxin (Brodie, 1968; Brodie et al., 2002; Feldman et al., 2009, 2016). Here, we extend the system to include an ecological associate, P. regilla. We document ecologically relevant interactions between Taricha and P. regilla with new field observations (Fig. 1) and an assessment of GBIF data (Figs. 2, S2–S4). We show the absence of any obvious TTX-resistance-conferring amino acid mutations in the NaV1.4 DIV p-loop of P. regilla (Figs. 3, S5). It remains unknown how P. regilla survive living in close proximity with toxic Taricha newts and whether they encounter high enough levels of TTX to necessitate some mechanism of resistance. Our data have added to the complex story involving newt toxicity and its effects on members of the surrounding community.

Abundance data indicate that P. regilla and Taricha annual activity patterns overlap but that peak breeding times are not synchronized ( Figs. S2–S4 (hpet-57-02-08_s01.docx)). When we surveyed the field sites in Briones Regional Park and the UCBG from October 2019 to March 2020, California was experiencing drought. The area of the ponds fluctuated due to changes in precipitation and, in the case of the Japanese Pool, some drainage for maintenance (UCBG personnel, pers. comm.). Thus, weather and pond conditions may have influenced our survey observations.

Observations of mistaken amplexus and predation of newts by P. regilla indicate that the species do come into direct contact (Fig. 1), though the frequency of these events is unclear. Predation of P. regilla on Taricha in their various life stages has not been reported previously but it could contribute to P. regilla exposure to TTX. Months of overlapping activity patterns of frog tadpoles and newt larvae ( Figs. S2–S4 (hpet-57-02-08_s01.docx)) could further expose tadpoles to TTX, potentially while tadpoles scavenge for food (i.e., they may eat newt eggs). Still, TTX exposure may not be frequent or potent enough for P. regilla to experience strong selection for resistance to TTX, especially when TTX levels can vary at different life stages in T. granulosa (Gall et al., 2022). In cases where environmental selective regimes are not predictable, more plastic responses like upregulation of detoxifying enzymes may be the primary way animals deal with toxin exposure (Zanger and Schwab, 2013). Nevertheless, even occasional exposure to TTX can result in maintenance of target-site insensitivity (Durso et al., 2021). In the case of the Thamnophis–Taricha arms race, Thamnophis activity peaks in April (according to iNaturalist records), not matching that of TarichaFigs. S2–S4 (hpet-57-02-08_s01.docx)), yet TTX resistance has evolved in Thamnophis.

We hypothesized that we would find TTX-resistance-conferring amino acid substitutions in NaV1.4 in P. regilla that are sympatric with Taricha and no substitutions in P. regilla that are allopatric with Taricha, with a greater number of substitutions indicating a higher level of resistance as has been shown in various NaV channels in salamanders and snakes (Geffeney et al., 2005; Feldman et al., 2010; Hanifin and Gilly, 2015; McGlothlin et al., 2016). Compared with the TTX-sensitive R. norvegicus NaV1.4 DIV, we found one amino acid change, I1519M, at a conserved hydrophobic residue located in proximity to TTX-binding residues in the p-loop (Geffeney et al., 2005; Tikhonov and Zhorov, 2005, 2011; Feldman et al., 2012; Gendreau et al., 2021b). This substitution was present in P. regilla that were sympatric and allopatric with Taricha. Amino acid changes in important regions of the NaV1.4 protein do not always translate to a resistant phenotype or vice versa (e.g., see Abderemane-Ali et al., 2021; Reimche et al., 2022). Furthermore, the presence of this substitution in all P. regilla samples does not support our hypothesis that substitutions would only be found where P. regilla is exposed to TTX from sympatric Taricha (at least based on occurrence data from the last 50 yr). We recognize that our hypothesis made a simplifying assumption that the designation of P. regilla populations as sympatric or allopatric with Taricha is relevant and valid during the time in which selection may have occurred for TTX resistance and that gene flow does not occur between sympatric and allopatric P. regilla populations. Nonetheless, our study suggests that the I1519M substitution evolved in the ancestor of P. regilla, which likely rules out contemporary selection from Taricha. Our survey of SCN4A sequences indicates that this site is somewhat variable in reptiles and amphibians (Figs. 3, S5), further suggesting that the substitution may not be directly related to TTX resistance.

In addition to P. regilla, the I1519M substitution is present in Nanorana parkeri, Bufo bufo, Bufo gargarizans, Pogona vitticeps, Charina bottae, and R. tigrinus (Figs. 3, S5). None of these species are known for having a strong association with TTX; though, R. tigrinus has been observed consuming TTX-defended treefrogs (Feldman et al., 2012), and N. parkeri occurs within the range of the toxic and relatively TTX-resistant newt species Tylototriton verrucosus (though its toxin is yet to be identified; Brodie et al., 1984; Hanifin and Gilly, 2015). In contrast, A. crepitans co-occurs with the TTX-defended newt N. viridescens (Mebs et al., 2010), but this species does not possess the I1519M substitution. Thus, the presence or absence of I1915M does not appear to closely track history of TTX exposure.

Although the I1519M substitution has previously been hypothesized to provide TTX resistance in R. tigrinus (Feldman et al., 2012), this conjecture has been challenged because the same substitution is found in other VGSC paralogs known to be TTX-sensitive (McGlothlin et al., 2016; noted as I1555M in their study). Another hydrophobic change in the same position (I1519L) is found in several TTX-resistant newts (Figs. 3, S5: Triturus dobrogicus, Cynops pyrrhogaster, Pachytriton labiatus, N. viridescens); however, it is hypothesized that this change is not directly related to TTX resistance either (Hanifin and Gilly, 2015). Mutagenesis studies suggest that substituting methionine for isoleucine has limited effects on a protein (Ohmura et al., 2001), but in some cases minor changes can have substantial effects on toxin binding (e.g., see the isoleucine to valine substitution in Geffeney et al. [2005]). In any case, because there is no direct evidence that the I1519M substitution (or the site itself) is involved in resistance, we cannot say with certainty whether it provides TTX resistance in P. regilla without further experimental evidence.

While there is no direct evidence that P. regilla possesses target-site insensitivity in the p-loop of DIV in NaV1.4, it is plausible that P. regilla may have other ways of avoiding the effects of TTX. Other regions of NaV1.4, such as domain III, and other VGSCs, such as NaV1.7, also harbor amino acid substitutions implicated in TTX resistance (Feldman et al., 2012; McGlothlin et al., 2016). Pseudacris regilla could possess the ability to smell TTX, such as larval in Taricha, enabling avoidance (Zimmer et al., 2006). Alternatively, they could possess a diffusion barrier in the skin or the gut that would prevent high levels of TTX exposure, as occurs in mantids (Mebs et al., 2016). It is also possible that P. regilla possess a binding protein that can scavenge TTX. Other frogs have saxiphilin, a protein that binds saxitoxin, which is structurally similar to TTX. However, saxiphilin is incapable of binding TTX, at least in the animals that have been tested (Mahar et al., 1991; Llewellyn et al., 1997; Abderemane-Ali et al., 2021). Similarly, little is known about the potential interactions between A. crepitans and N. viridescens, or between N. parkeri and T. verrucosus, which could also select for toxin resistance in the frogs. To date, none of these alternative resistance mechanisms have been studied in Pseudacris, Acris, Nanorana, or salamandrids.

A number of reasons could explain why P. regilla would lack target-site insensitivity in NaV1.4. Evolving TTX resistance could be costly to P. regilla due to possible alterations in the outer pore of sodium channels that frequently occur when amino acid substitutions are present (Chiamvimonvat et al., 1996; Lee et al., 2011; Feldman et al., 2012; Hague et al., 2018; but see Moniz et al., 2021). Evolving costly substitutions may require a stronger selective pressure than is currently occurring. Given the relative quantities of TTX on newt skin (up to 28 mg/newt [Stokes, 2015]) compared with TTX levels in newt-containing water (∼1 × 10-7 mol/L [Zimmer et al., 2006]), the environmental toxicity of TTX is likely to cause weaker selection for TTX resistance than exposure via chemical defenses from prey. The cost of exhibiting TTX resistance combined with the low potential for P. regilla to interact with high concentrations of TTX in its environment may explain why we did not unequivocally identify target-site insensitivity in P. regilla DIV NaV1.4. Future work exploring the effects of TTX as an environmental toxin could include measuring TTX concentrations in newt-containing ponds, performing whole organism or in vitro assays of P. regilla to determine TTX sensitivity, and testing for other modes of TTX resistance.

Conclusions.—We did not find direct evidence for target-site insensitivity in the DIV p-loop of the skeletal muscle voltage-gated sodium channel NaV1.4 of P. regilla. Although it is possible that the I1519M substitution in the DIV p-loop of NaV1.4 may be related to TTX resistance, experimental evidence is necessary to determine the impact of this substitution on TTX binding. Abundance data indicate that P. regilla may not encounter Taricha with high enough frequency or magnitude to cause selection for TTX resistance. Future seasonal measurements of pond-water concentrations will help evaluate this hypothesis. If P. regilla are indeed exposed to significant levels of TTX, they may have mechanisms to survive TTX exposure other than target-site insensitivity in NaV1.4 DIV, such as resistance-conferring mutations in other domains or sodium channels, diffusion barriers, avoidance mechanisms, or scavenging proteins. Investigating the environmental toxicity of TTX in the relationship between P. regilla and Taricha is an opportunity to explore the nexus of ecological interactions, neurotoxins, and resistance mechanisms. The hypothesized absence of target-site insensitivity in P. regilla suggests that exposure to tetrodotoxin outside of trophic interactions may not strongly select for fixed mechanisms of toxin resistance.

Acknowledgments.

We affirm the sovereignty of the Karkin, Me-Wuk (Bay Miwok), Muwekma, Chochenyo, Ramaytush, and Ohlone people and the Confederated Villages of Lisjan; we thank them for stewarding the land where we worked and, thus, serving an integral role in the production of this study. We thank L. Smith in the Evolutionary Genetics Lab, as well as C. Spencer and the collections support staff of the Museum of Vertebrate Zoology. We also thank those who supported our work at field sites: University of Californina Botanical Garden (UCBG) staff, including H. Forbes, J. Fong, E. Hupperts, and C. Loughran; East Bay Regional Parks District staff, including T. Lin and J. Miller; and J. Young with the Presidio Trust. We thank the other members of the Tarvin Lab for their editing prowess and general support. We thank A. Shabel for his advice in the early stages of this project, and K. Sanko, J. Toman, and L. Galindo who helped as field assistants. K. Montana thanks her family and ancestors for their guidance. R. Tarvin was supported by University of California Berkeley start-up funds. The East Bay Regional Parks District authorized the surveys at Briones under permit number 19-1044, and staff at the UCBG gave written consent for surveys conducted on the premises. All animals were collected under approved collection permits and protocols: for the National Parks Service Scientific Research and Collecting Permit 2 number PRSF-2020-SCI-0002 within study PRSF-00035, with a written extension after expiration of the original permit; University of California IACUC AUP-2019-08-12457; and California Department of Fish and Wildlife Scientific Collection Permit S-190980001-19111-001.

Copyright 2023 Society for the Study of Amphibians and Reptiles

Literature Cited

1.

Abderemane-Ali, F., N. D. Rossen, M. E. Kobiela, R. A. Craig II , C. E. Garrison, Z. Chen, C. M. Colleran, L. A. O'connell, J. Du Bois, J. P. Dumbacher, et al. 2021. Evidence that toxin resistance in poison birds and frogs is not rooted in sodium channel mutations and may rely on ‘toxin sponge’ proteins. Journal of General Physiology 153: e202112872. Google Scholar

2.

Altschul, S. F., W. Gish, W. Miller, E. W. Myers, and D. J. Lipman. 1990. Basic local alignment search tool. Journal of Molecular Biology 215: 403–410. Google Scholar

3.

Barrow, L. N., H. F. Ralicki, S. A. Emme, and E. M. Lemmon. 2014. Species tree estimation of North American chorus frogs (Hylidae: Pseudacris) with parallel tagged amplicon sequencing. Molecular Phylogenetics and Evolution 75:78–90. Google Scholar

4.

Brodie, E. D., Jr . 1968. Investigations on the skin toxin of the adult rough-skinned newt, Taricha granulosa. Copeia 1968:307–313. Google Scholar

5.

Brodie, E. D., Jr ., J. L. Hensel, and J. A. Johnson. 1974. Toxicity of the urodele amphibians Taricha, Notophthalmus, Cynops and Paramesotriton (Salamandridae). Copeia 1974:506–511. Google Scholar

6.

Brodie, E. D., Jr ., R. A. Nussbaum, and M. Digiovanni. 1984. Antipredator adaptations of Asian salamanders (Salamandridae). Herpetologica 40:56–68. Google Scholar

7.

Brodie, E. D., Jr ., B. J. Ridenhour, and E. D. Brodie III . 2002. The evolutionary response of predators to dangerous prey: hotspots and coldspots in the geographic mosaic of coevolution between garter snakes and newts. Evolution 56:2067–2082. Google Scholar

8.

Bucciarelli, G. M., and L. B. Kats. 2015. Effects of newt chemical cues on the distribution and foraging behavior of stream macroinvertebrates. Hydrobiologia 749:69–81. Google Scholar

9.

Bucciarelli, G. M., H. B. Shaffer, D. B. Green, and L. B. Kats. 2017. An amphibian chemical defense phenotype is inducible across life history stages. Scientific Reports 7:8185. Google Scholar

10.

Calhoun, D. M., G. M. Bucciarelli, L. B. Kats, R. K. Zimmer, and P. T. J. Johnson. 2017. Noxious newts and their natural enemies: experimental effects of tetrodotoxin exposure on trematode parasites and aquatic macroinvertebrates. Toxicon 137:120–127. Google Scholar

11.

Chahine, M., P. B. Bennett, A. L. George, and R. Horn. 1994. Functional expression and properties of the human skeletal muscle sodium channel. European Journal of Physiology 427:136–142. Google Scholar

12.

Chernomor, O., A. Von Haeseler, and B. Q. Minh. 2016. Terrace aware data structure for phylogenomic inference from supermatrices. Systematic Biology 65:997–1008. Google Scholar

13.

Chiamvimonvat, N., M. T. Pérez-García, G. F. Tomaselli, and E. Marban. 1996. Control of ion flux and selectivity by negatively charged residues in the outer mouth of rat sodium channels. Journal of Physiology 491:51–59. Google Scholar

14.

Choudhary, G., M. Yotsu-Yamashita, L. Shang, T. Yasumoto, and S. C. Dudley. 2003. Interactions of the C-11 hydroxyl of tetrodotoxin with the sodium channel outer vestibule. Biophysical Journal 84:287–294. Google Scholar

15.

Crother, B. I., Chair: Society for the Study of Amphibians and Reptiles, Committee on Standard English and Scientific Names, American Society of Ichthyologists and Herpetologists, Canadian Association of Herpetologists, Partners in Amphibian and Reptile Conservation, Society for the Study of Amphibians and Reptiles, and Herpetologists' League. 2017. Scientific and Standard English Names of Amphibians and Reptiles of North America North of Mexico, with Comments Regarding Confidence in Our Understanding. 8th ed. Society for the Study of Amphibians and Reptiles, USA. Google Scholar

16.

Duellman, W. E., A. B. Marion, and S. B. Hedges. 2016. Phylogenetics, classification, and biogeography of the treefrogs (Amphibia: Anura: Arboranae). Zootaxa 4104:1–109. Google Scholar

17.

Durso, A. M., L. A. Neuman-Lee, G. R. Hopkins, and E. D. Brodie, Jr . 2021. Stable isotope analysis suggests that tetrodotoxin-resistant Common Gartersnakes (Thamnophis sirtalis) rarely feed on newts in the wild. Canadian Journal of Zoology 99:331–338. Google Scholar

18.

Feldman, C. R., E. D. Brodie, Jr ., E. D. Brodie III , and M. E. Pfrender. 2009. The evolutionary origins of beneficial alleles during the repeated adaptation of garter snakes to deadly prey. Proceedings of the National Academy of Sciences USA 106:13415–13420. Google Scholar

19.

Feldman, C. R., E. D. Brodie, Jr ., E. D. Brodie III , and M. E. Pfrender. 2010. Genetic architecture of a feeding adaptation: garter snake (Thamnophis) resistance to tetrodotoxin bearing prey. Proceedings of the Royal Society Biological Sciences 277:3317–3325. Google Scholar

20.

Feldman, C. R., E. D. Brodie, Jr ., E. D. Brodie III , and M. E. Pfrender. 2012. Constraint shapes convergence in tetrodotoxin-resistant sodium channels of snakes. Proceedings of the National Academy of Sciences USA 109:4556–4561. Google Scholar

21.

Feldman, C. R., A. M. Durso, C. T. Hanifin, M. E. Pfrender, P. K. Ducey, A. N. Stokes, K. E. Barnett, E. D. Brodie III , and E. D. Brodie Jr . 2016. Is there more than one way to skin a newt? Convergent toxin resistance in snakes is not due to a common genetic mechanism. Heredity 116:84–91. Google Scholar

22.

Fouquette Jr., M. J., and A. Dubois. 2014. A Checklist of North American Amphibians and Reptiles: The United States and Canada. Xlibris, USA. Google Scholar

23.

Gall, B. G., A. N. Stokes, S. S. French, E. A. Schlepphorst, E. D. Brodie III , and E. D. Brodie, Jr . 2011. Tetrodotoxin levels in larval and metamorphosed newts (Taricha granulosa) and palatability to predatory dragonflies. Toxicon 57:978–983. Google Scholar

24.

Gall, B. G., A. N. Stokes, S. S. French, E. D. Brodie III , and E. D. Brodie, Jr . 2012. Predatory caddisfly larvae sequester tetrodotoxin from their prey, eggs of the rough-skinned newt (Taricha granulosa). Journal of Chemical Ecology 38:1351–1357. Google Scholar

25.

Gall, B. G., A. N. Stokes, E. D. Brodie III , and E. D. Brodie, Jr . 2022. Tetrodotoxin levels in lab-reared rough-skinned newts (Taricha granulosa) after 3 years and comparison to wild-caught juveniles. Toxicon 213:7–12. Google Scholar

26.

[GBIF] Global Biodiversity Information Facility. 2021. GBIF occurrence download [Internet]. Available from: https://doi.org/10.15468/dl.qzrq4k. Downloaded 23 November 2021. Google Scholar

27.

[GBIF] Global Biodiversity Information Facility. 2021. GBIF occurrence download [Internet]. Available from: https://doi.org/10.15468/dl.z9tw6r. Downloaded 23 November 2021. Google Scholar

28.

[GBIF] Global Biodiversity Information Facility. 2021. GBIF occurrence download [Internet]. Available from: https://doi.org/10.15468/dl.dwz9yn. Downloaded 30 November 2021. Google Scholar

29.

[GBIF] Global Biodiversity Information Facility. 2021. GBIF occurrence download [Internet]. Available from: https://doi.org/10.15468/dl.ed2uqn. Downloaded 30 November 2021. Google Scholar

30.

[GBIF] Global Biodiversity Information Facility. 2021. GBIF occurrence download [Internet]. Available from: https://doi.org/10.15468/dl.wzbmv6. Downloaded 23 May 2022. Google Scholar

31.

[GBIF] Global Biodiversity Information Facility. 2021. GBIF occurrence download [Internet]. Available from: https://doi.org/10.15468/dl.fy2m4g. Downloaded 6 June 2022. Google Scholar

32.

Geffeney, S. L., E. Fujimoto, E. D. Brodie III , E. D. Brodie, Jr ., and P. C. Ruben. 2005. Evolutionary diversification of TTX-resistant sodium channels in a predator–prey interaction. Nature 434:759–763. Google Scholar

33.

Gendreau, K. L., J. W. Mcglothlin, A. D. Hornsby, and M. T. J. Hague. 2021a. Gene conversion facilitates the adaptive evolution of self-resistance in highly toxic newts. Dryad, Dataset,  doi:10.5061/DRYAD.KPRR4XH4VGoogle Scholar

34.

Gendreau, K. L., A. D. Hornsby, M. T. J. Hague, and J. W. Mcglothlin. 2021b. Gene conversion facilitates the adaptive evolution of self-resistance in highly toxic newts. Molecular Biology and Evolution 38: 4077–4094. Google Scholar

35.

Hague, M. T. J., G. Toledo, S. L. Geffeney, C. T. Hanifin, E. D. Brodie, Jr ., and E. D. Brodie, III . 2018. Large-effect mutations generate trade-off between predatory and locomotor ability during arms race coevolution with deadly prey. Evolution Letters 2:406–416. Google Scholar

36.

Hanifin, C. T. 2010. The chemical and evolutionary ecology of tetrodotoxin (TTX) toxicity in terrestrial vertebrates. Marine Drugs 8:577–593. Google Scholar

37.

Hanifin, C. T., E. D. Brodie Jr ., and E. D. Brodie III . 2008. Phenotypic mismatches reveal escape from arms-race coevolution. PLoS Biology 6:e60. Google Scholar

38.

Hanifin, C. T., and W. F. Gilly. 2015. Evolutionary history of a complex adaptation: tetrodotoxin resistance in salamanders. Evolution 69: 232–244. Google Scholar

39.

Hille, B. 2001. Ion Channels of Excitable Membranes. 3rd ed. Sinauer, USA. Google Scholar

40.

Hoang, D. T., O. Chernomor, A. Von Haeseler, B. Q. Minh, and L. S. Vinh. 2018. UFBoot2: improving the ultrafast bootstrap approximation. Molecular Biology and Evolution 35:518–522. Google Scholar

41.

Hochmair, H. H., R. H. Scheffrahn, M. Basille, and M. Boone. 2020. Evaluating the data quality of iNaturalist termite records. PLoS ONE 15: e0226534. Google Scholar

42.

James, D., and K. Hornik. 2020. Chron: chronological objects which can handle dates and times. R package version 2.3.56.  https://cran.rproject.org/web/packages/chron/index.htmlGoogle Scholar

43.

Jost, M. C., D. M. Hillis, Y. Lu, J. W. Kyle, H. A. Fozzard, and H. H. Zakon. 2008. Toxin-resistant sodium channels: parallel adaptive evolution across a complete gene family. Molecular Biology and Evolution 25:1016–1024. Google Scholar

44.

Kassambara, A. 2020. Ggpubr: ‘ggplot2′ based publication ready plots. R package version 0.4.0.  https://CRAN.R-project.org/package=ggpubrGoogle Scholar

45.

Lee, C. H., D. K. Jones, C. Ahern, M. F. Sarhan, and P. C. Ruben. 2011. Biophysical costs associated with tetrodotoxin resistance in the sodium channel pore of the garter snake, Thamnophis sirtalis. Journal of Comparative Physiology A 197:33–43. Google Scholar

46.

Letunic, I., and P. Bork. 2021. Interactive tree of life (ITOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Research 49:W293–W296. Google Scholar

47.

Llewellyn, L. E., P. M. Bell, and E. G. Moczydlowski. 1997. Phylogenetic survey of soluble saxitoxin-binding activity in pursuit of the function and molecular evolution of saxiphilin, a relative of transferrin. Proceedings of the Royal Society Biological Sciences 264:891–902. Google Scholar

48.

Mahar, J., G. L. Lukács, L. Li, S. Hall, and E. Moczydlowski. 1991. Pharmacological and biochemical properties of saxiphilin, a soluble saxitoxin-binding protein from the bullfrog (Rana catesbeiana). Toxicon 29:53–71. Google Scholar

49.

Mailho-Fontana, P. L., C. Jared, M. M. J. Mozer Sciani, Antoniazzi, D. Carvalho Pimenta, A. N. Stokes, T. Grant, E. D. Brodie III , and E. D. Brodie, Jr . 2019. Variations in tetrodotoxin levels in populations of Taricha granulosa are expressed in the morphology of their cutaneous glands. Scientific Reports 9:18490. Google Scholar

50.

Mcglothlin, J. W., M. E. Kobiela, C. R. Feldman, T. A. Castoe, S. L. Geffeney, C. T. Hanifin, G. Toledo, F. J. Vonk, M. K. Richardson, E. D. Brodie, Jr ., et al. 2016. Historical contingency in a multigene family facilitates adaptive evolution of toxin resistance. Current Biology 26: 1616–1621. Google Scholar

51.

Mebs, D., O. Arakawa, and M. Yotsu-Yamashita. 2010. Tissue distribution of tetrodotoxin in the red-spotted newt Notophthalmus viridescens. Toxicon 55:1353–1357. Google Scholar

52.

Mebs, D., M. Yotsu-Yamashita, and O. Arakawa. 2016. The praying mantis (Mantodea) as predator of the poisonous red-spotted newt Notophthalmus viridescens (Amphibia: Urodela: Salamandridae). Chemoecology 26:121–126. Google Scholar

53.

Miller, S. A., D. D. Dykes, and H. F. Polesky. 1988. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Research 16:1215. Google Scholar

54.

Moniz, H. A., M. A. Richard, C. M. Gienger, and C. R. Feldman. 2021. Every breath you take: assessing metabolic costs of toxin resistance in garter snakes (Thamnophis). Integrative Zoology 17:567–580. Google Scholar

55.

Neuwirth, E. 2014. RcolorBrewer: ColorBrewer palettes. R package version 1.1.2.  https://CRAN.R-project.org/package=RColorBrewerGoogle Scholar

56.

Nguyen, L., H. A. Schmidt, A. Von Haeseler, and B. Q. Minh. 2015. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum likelihood phylogenies. Molecular Biology and Evolution 32:268–274. Google Scholar

57.

Ohmura, T., T. Ueda, Y. Hashimoto, and T. Imoto. 2001. Tolerance of point substitution of methionine for isoleucine in hen egg white lysozyme. Protein Engineering, Design and Selection 14:421–425. Google Scholar

58.

Ota, W. M., B. Olsen, G. M. Bucciarelli, and L. B. Kats. 2018. The effect of newt toxin on an invasive snail. Hydrobiologia 817:341–348. Google Scholar

59.

Powell, R., R. Conant, and J. T. Collins. 2016. Peterson Field Guide to Reptiles and Amphibians of Eastern and Central North America. 4th ed. Houghton Mifflin Harcourt, USA. Google Scholar

60.

Preston, D. L., and P. T. J. Johnson. 2012. Importance of native amphibians in the diet and distribution of the aquatic gartersnake (Thamnophis atratus) in the San Francisco Bay Area of California. Journal of Herpetology 46:221–227. Google Scholar

61.

R Core Team. 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.  https://www.R-project.orgGoogle Scholar

62.

Ramírez-Castañeda, V. 2017. Origin of Mutations in the NaV Gene Family Associated with Resistance to Neurotoxins in Snake (Erythrolamprus sp.) Predators of Dart Poison Frogs (Dendrobatidae). M.S. thesis, University of the andes, Colombia. Google Scholar

63.

Recuero, E., Í. Martínez-Solano, G. Parra-Olea, and M. García-París. 2006a. Phylogeography of Pseudacris regilla (Anura: Hylidae) in western North America, with a proposal for a new taxonomic rearrangement. Molecular Phylogenetics and Evolution 39:293–304. Google Scholar

64.

Recuero, E., Í. Martínez-Solano, G. Parra-Olea, and M. García-París. 2006b. Corrigendum to ‘Phylogeography of Pseudacris regilla (Anura: Hylidae) in western North America, with a proposal for a new taxonomic rearrangement’ [Mol. Phylogenet. Evol. 39 (2006) 293–304]. Molecular Phylogenetics and Evolution 41:511. Google Scholar

65.

Reimche, J. S., E. D. Brodie Jr ., A. N. Stokes, E. J. Ely, H. A. Moniz, V. L. Thill, J. M. Hallas, M. E. Pfrender, E. D. Brodie III , and C. R. Feldman. 2020. The geographic mosaic in parallel: matching patterns of newt tetrodotoxin levels and snake resistance in multiple predator–prey pairs. Journal of Animal Ecology 89:1645–1657. Google Scholar

66.

Reimche, J. S., R. E. Del Carlo, E. D. Brodie Jr , J. W. Mcglothlin, K. Schlauch, M. E. Pfrender, E. D. Brodie III , N. Leblanc, and C. R. Feldman. 2022. The road not taken: evolution of tetrodotoxin resistance in the Sierra Garter Snake (Thamnophis couchii) by a path less travelled. Molecular Ecology 31:3827–3843. Google Scholar

67.

Sievers, F., A. Wilm, D. G. Dineen, T. J. Gibson, K. Karplus, W. Li, R. Lopez, H. Mcwilliam, M. Remmert, J. Söding, J. D. Thompson, and D. G. Higgins. 2011. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Molecular Systems Biology 7:539. Google Scholar

68.

Stebbins, R. C., and S. M. Mcginnis. 2018. Peterson Field Guide to Western Reptiles and Amphibians. 4th ed. Houghton Mifflin Harcourt, USA. Google Scholar

69.

Stokes, A. N. 2015. Otter predation on Taricha granulosa and variation in tetrodotoxin levels with elevation. Northwestern Naturalist 96:13–21. Google Scholar

70.

Tarvin, R. D., J. C. Santos, L. A. O'connell, H. H. Zakon, and D. C. Cannatella. 2016. Convergent substitutions in a sodium channel suggest multiple origins of toxin resistance in poison frogs. Molecular Biology and Evolution 37:607. Google Scholar

71.

Tikhonov, D. B., and B. S. Zhorov. 2005. Modeling p-loops domain of sodium channel: homology with potassium channels and interaction with ligands. Biophysical Journal 88:184–197. Google Scholar

72.

Tikhonov, D. B., and B. S. Zhorov. 2011. Possible roles of exceptionally conserved residues around the selectivity filters of sodium and calcium channels. Journal of Biological Chemistry 286:2998–3006. Google Scholar

73.

Trifinopoulos, J., L. T. Nguyen, A. Von Haeseler, and B. Q. Minh. 2016. W-IQ-TREE: a fast online phylogenetic tool for maximum likelihood analysis. Nucleic Acids Research 44:W232–W235. Google Scholar

74.

Vaelli, P. M., K. R. Theis, J. E. Williams, L. A. O'connell, J. A. Foster, and H. L. Eisthen. 2020. The skin microbiome facilitates adaptive tetrodotoxin production in poisonous newts. Elife 9:e53898. Google Scholar

75.

Venkatesh, B., S. Q. Lu, N. Dandona, S. L. See, S. Brenner, and T. W. Soong. 2005. Genetic basis of tetrodotoxin resistance in pufferfishes. Current Biology 15:2069–2072. Google Scholar

76.

Wickham, H. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, USA. Google Scholar

77.

Wickham, H., M. Averick, J. Bryan, W. Chang, L. D. Mcgowan, R. François, G. Grolemund, A. Hayes, L. Henry, J. Hester, M. Kuhn, et al. 2019. Welcome to the tidyverse. Journal of Open Source Software 4:1686. Google Scholar

78.

Wickham, H., R. François, L. Henry, and K. Müller. 2021. Dplyr: a grammar of data manipulation. R package version 1.0.7.  https://CRAN.R-project.org/package=dplyrGoogle Scholar

79.

Wilke, C.O. 2020. Cowplot: streamlined plot theme and plot annotations for ‘ggplot2.’ R package version 1.1.1.  https://CRAN.R-project.org/package=cowplotGoogle Scholar

80.

Williams, B. L., C. T. Hanifin, E. D. Brodie, and E. D. Brodie III . 2010. Tetrodotoxin affects survival probability of rough-skinned newts (Taricha granulosa) faced with TTX-resistant garter snake predators (Thamnophis sirtalis). Chemoecology 20:285–290. Google Scholar

81.

Zanger, U. M., and M. Schwab. 2013. Cytochrome P450 enzymes in drug metabolism: regulation of gene expression, enzyme activities, and impact of genetic variation. Pharmacology and Therapeutics 138: 103–41. Google Scholar

82.

Zimmer, R. K., D. W. Schar, R. P. Ferrer, P. J. Krug, L. B. Kats, and W. C. Michel. 2006. The scent of danger: tetrodotoxin (TTX) as an olfactory cue of predation risk. Ecological Monographs 76:585–600. Google Scholar

Appendices

Supplementary Data

 Supplementary data (hpet-57-02-08_s01.docx) associated with this article can be found online at  http://dx.doi.org/10.1670/22-002.s1.

Katherine O. Montana, Valeria Ramírez-Castañeda, and Rebecca D. Tarvin "Are Pacific Chorus Frogs (Pseudacris regilla) Resistant to Tetrodotoxin (TTX)? Characterizing Potential TTX Exposure and Resistance in an Ecological Associate of Pacific Newts (Taricha)," Journal of Herpetology 57(2), 220-228, (17 July 2023). https://doi.org/10.1670/22-002
Accepted: 23 January 2023; Published: 17 July 2023
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