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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2023.1112982</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ecology and Evolution</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>An integrated physiological perspective on anthropogenic stressors in the Gulf coast toad (<italic>Incilius nebulifer</italic>)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Monroe</surname>
<given-names>Dillon J.</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2121882/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Barny</surname>
<given-names>Lea A.</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2145471/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Alice</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2162542/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Minbiole</surname>
<given-names>Kevin P. C.</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/170745/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gabor</surname>
<given-names>Caitlin R.</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/466460/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Biology, Texas State University</institution>, <addr-line>San Marcos, TX</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Chemistry, Villanova University</institution>, <addr-line>Villanova, PA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Melissa Lin Grunst, Universit&#x00E9; de la Rochelle, France</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Fernando Ribeiro Gomes, University of S&#x00E3;o Paulo, Brazil; L&#x00E9;a Lorrain-Soligon, UMR7372 Centre d'&#x00E9;tudes biologiques de Chiz&#x00E9; (CEBC), France</p></fn>
<corresp id="c001">&#x002A;Correspondence: Caitlin R. Gabor, &#x02709; <email>gabor@txstate.edu</email></corresp>
<fn id="fn0003" fn-type="other"><p>This article was submitted to Behavioral and Evolutionary Ecology, a section of the journal Frontiers in Ecology and Evolution</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1112982</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Monroe, Barny, Wu, Minbiole and Gabor.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Monroe, Barny, Wu, Minbiole and Gabor</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Anthropogenic environmental change, including climate change and urbanization, results in warmer temperatures in both terrestrial and aquatic habitats and changes in community assemblages including invasive species introductions, among many other alterations. Anurans are particularly susceptible to these changes because generally they have a biphasic lifecycle and rely on aquatic and terrestrial habitats for survival. Changes such as warmer water temperature can result in direct and carryover effects, after metamorphosis that decrease fitness. However, Gulf Coast toads (<italic>Incilius (Bufo) nebulifer</italic>) are expanding their range, including into anthropogenically disturbed areas. We hypothesize that <italic>I. nebulifer</italic> copes with warmer water, reduced water levels, and invasive species by altering their physiology and/or behavior. Corticosterone is the primary glucocorticoid in amphibians, and it modulates many aspects of physiology and behavior, potentially including lipid storage and hop performance, during unpredictable (stressful) events. As a true toad, <italic>I. nebulifer</italic> also produces bufadienolide toxins that aid in its antipredator defense and may have tradeoffs with corticosterone. In a fully factorial design, we measured baseline corticosterone levels in tadpoles in response to two treatments: decreased water levels and increased water temperatures. After metamorphosis, we measured the corticosterone profile and other associated responses to exposure to the predatory red imported fire ant (<italic>Solenopsis invicta; RIFA</italic>). We found that tadpoles had elevated baseline corticosterone release rates when reared in warmer water and reduced water levels. Toadlets also had elevated baseline corticosterone release rates when exposed to any combination of two of the three treatments but when exposed to all three treatments toadlets instead showed elevated magnitude of their stress response. Predator avoidance (as measured by hop performance) was reduced after exposure to RIFA. Tadpoles from warmer water developed more quickly and were smaller in mass after metamorphosis. Toadlets had reduced production of two of the three detected bufadienolides and increased energy storage (lipids) after exposure to warmer water and reduced growth after exposure to reduced water levels. We found direct and carryover effects of common anthropogenic changes in <italic>I. nebulifer</italic> that may aid in their ability to persist despite these changes.</p>
</abstract>
<kwd-group>
<kwd>amphibian</kwd>
<kwd>behavior</kwd>
<kwd>bufadienolide</kwd>
<kwd>Bufonidae</kwd>
<kwd>corticosterone</kwd>
<kwd>physiology</kwd>
</kwd-group>
<contract-num rid="cn2">CHE-2018399</contract-num>
<contract-sponsor id="cn1">Texas State University<named-content content-type="fundref-id">10.13039/100008882</named-content></contract-sponsor>
<contract-sponsor id="cn2">National Science Foundation<named-content content-type="fundref-id">10.13039/501100008982</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="7"/>
<equation-count count="4"/>
<ref-count count="79"/>
<page-count count="14"/>
<word-count count="10958"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Worldwide an estimated 60% of all land changes from 1982 to 2016 were directly associated with human activities (<xref ref-type="bibr" rid="ref68">Song et al., 2018</xref>; <xref ref-type="bibr" rid="ref37">Homer et al., 2020</xref>). Climate change and urbanization are leading causes of anthropogenic habitat alterations. Among other effects, climate change increases air and water temperature and alters frequency of precipitation, and urbanization results in urban heat islands with reduced surface permeability which in turn elevates water temperatures and changes surface water dynamics (<xref ref-type="bibr" rid="ref003">Nelson and Palmer, 2007</xref>; <xref ref-type="bibr" rid="ref002">Kaushal et al., 2010</xref>; <xref ref-type="bibr" rid="ref001">Brans et al., 2018</xref>). While the effects of anthropogenic change on biodiversity are varied, in general, they result in a decrease in native species richness and abundance, an increase in invasive species richness and abundance, and shifts in species evenness (<xref ref-type="bibr" rid="ref65">Shochat et al., 2010</xref>; <xref ref-type="bibr" rid="ref1">Alberti et al., 2020</xref>; <xref ref-type="bibr" rid="ref71">Von Der Lippe et al., 2020</xref>). Together these changes present a new set of perturbations that species must adapt to or face extirpation (<xref ref-type="bibr" rid="ref22">Cordier et al., 2021</xref>).</p>
<p>Amphibians are particularly susceptible to the effects of anthropogenic environmental change. Amphibians are reliant on more environmental factors than most vertebrates because they are ectotherms that often have a biphasic lifecycle, having terrestrial and aquatic stages. Beyond the direct effects, aquatic developmental environments of amphibians can also have carryover effects after metamorphosis (<xref ref-type="bibr" rid="ref57">Relyea, 2001</xref>; <xref ref-type="bibr" rid="ref23">Crespi et al., 2013</xref>; <xref ref-type="bibr" rid="ref18">Charbonnier et al., 2018</xref>; <xref ref-type="bibr" rid="ref75">Yagi and Green, 2018</xref>; <xref ref-type="bibr" rid="ref66">Sinsch et al., 2020</xref>). These carryover effects can change the way amphibians respond to terrestrial stressors (<xref ref-type="bibr" rid="ref66">Sinsch et al., 2020</xref>). For example, in amphibians that breed in ephemeral pools, early pool drying leads to early metamorphosis and reduced body fat (<xref ref-type="bibr" rid="ref49">Morey, 1998</xref>). Reduced body fat at metamorphosis is correlated with reduced survival as an adult (<xref ref-type="bibr" rid="ref64">Scott et al., 2007</xref>). While the effects of anthropogenic environmental change on amphibians are relatively understudied compared to the diversity of the clade (<xref ref-type="bibr" rid="ref13">Bonnet et al., 2002</xref>; <xref ref-type="bibr" rid="ref22">Cordier et al., 2021</xref>), one metanalysis found that in the United States most native amphibians showed a negative response to changes like urbanization at the population level (<xref ref-type="bibr" rid="ref62">Scheffers and Paszkowski, 2012</xref>). Despite most amphibian populations declining (<xref ref-type="bibr" rid="ref2">Allen et al., 2017</xref>), populations of the Gulf Coast toad (<italic>Incilius (Bufo) nebulifer</italic>) are increasing. <italic>I. nebulifer</italic> is native to central and eastern Texas and northeast Mexico but are documented in many new areas, with noteworthy range expansions to the north and east in the United States (<xref ref-type="bibr" rid="ref45">Mendelson et al., 2015</xref>). These range expansions are strongly associated with disturbed habitats such as urban areas but could also be due to warmer temperatures. Studies in Louisiana on the effects of <italic>I. nebulifer</italic> range expansion on amphibian communities show the presence of <italic>I. nebulifer</italic> tadpoles decrease the fitness of native amphibian tadpoles (<xref ref-type="bibr" rid="ref70">Vogel and Pechmann, 2010</xref>). This makes <italic>I. nebulifer</italic> not only an interesting species to study as it relates to the consequences of anthropogenic environmental change, but also as a conservation concern.</p>
<p>Glucocorticoid levels are frequently employed to study a vertebrate&#x2019;s ability to physiologically cope with anthropogenic environmental change (<xref ref-type="bibr" rid="ref38">Hopkins et al., 1997</xref>; <xref ref-type="bibr" rid="ref5">Angelier and Wingfield, 2013</xref>; <xref ref-type="bibr" rid="ref15">Burraco and Gomez-Mestre, 2016</xref>; <xref ref-type="bibr" rid="ref31">Gabor et al., 2019</xref>; <xref ref-type="bibr" rid="ref11">B&#x00F3;kony et al., 2021</xref>). In amphibians, the primary glucocorticoid is corticosterone. In general, corticosterone is a mediator for many physiological processes including development and energy allocation while helping amphibians maintain homeostasis (<xref ref-type="bibr" rid="ref61">Sapolsky et al., 2000</xref>). Corticosterone also plays a role in the stress response. Exposure to stressors activates the hypothalamic&#x2013;pituitary&#x2013;interrenal (HPI) axis, which concludes in the release of corticosterone. When an amphibian encounters an unpredictable perturbation (stressor) such as a predator or an irregular weather event (e.g., storms) most often corticosterone levels increase, inducing physiological and behavioral responses that help cope with that stressor (<xref ref-type="bibr" rid="ref16">Carr and Norris, 1990</xref>; <xref ref-type="bibr" rid="ref73">Wingfield, 2013</xref>; <xref ref-type="bibr" rid="ref35">Hau et al., 2016</xref>). Corticosterone responses can vary in absolute concentrations and in stress response or negative feedback rates (<xref ref-type="bibr" rid="ref25">Eikenaar et al., 2012</xref>; <xref ref-type="bibr" rid="ref20">Cockrem, 2013</xref>; <xref ref-type="bibr" rid="ref35">Hau et al., 2016</xref>; <xref ref-type="bibr" rid="ref11">B&#x00F3;kony et al., 2021</xref>). The corticosterone profile illustrates how corticosterone varies in response to stressors. Comprehensive studies of the complete corticosterone profile can aid in understanding how species cope with anthropogenic environmental change (<xref ref-type="bibr" rid="ref73">Wingfield, 2013</xref>; <xref ref-type="bibr" rid="ref66">Sinsch et al., 2020</xref>; <xref ref-type="bibr" rid="ref11">B&#x00F3;kony et al., 2021</xref>; <xref ref-type="bibr" rid="ref39">Kolonin et al., 2022</xref>).</p>
<p>Corticosterone has both direct and indirect effects on organisms. For example, tadpoles exposed to a predator cue have elevated corticosterone levels and move less when compared to a control group (<xref ref-type="bibr" rid="ref46">Middlemis et al., 2013</xref>). After metamorphosis, hop performance provides a measure of predator avoidance. Similar to activity, hop performance decreases with chronic exposure to predators (<xref ref-type="bibr" rid="ref59">Relyea and Hoverman, 2003</xref>; <xref ref-type="bibr" rid="ref76">Zamora-Camacho and Arag&#x00F3;n, 2019</xref>), but the potential interaction between hop performance and corticosterone levels is still inconclusive (<xref ref-type="bibr" rid="ref58">Relyea and Edwards, 2010</xref>; <xref ref-type="bibr" rid="ref60">Ricciardella et al., 2010</xref>; <xref ref-type="bibr" rid="ref74">Woodley and Lacy, 2010</xref>; <xref ref-type="bibr" rid="ref9">Bliley and Woodley, 2012</xref>; <xref ref-type="bibr" rid="ref72">Wack et al., 2013</xref>; <xref ref-type="bibr" rid="ref27">Fonner and Woodley, 2015</xref>; <xref ref-type="bibr" rid="ref17">Cha et al., 2021</xref>). Changes in activity and corticosterone levels may be an outcome of and/or alter changes in lipid levels. Lipids are a more accurate measure of body condition and when combined with growth rates can indicate changes in energy allocation (<xref ref-type="bibr" rid="ref26">Fitzpatrick, 1976</xref>; <xref ref-type="bibr" rid="ref24">Crump, 1981</xref>; <xref ref-type="bibr" rid="ref64">Scott et al., 2007</xref>; <xref ref-type="bibr" rid="ref43">MacCracken and Stebbings, 2012</xref>). In sum, corticosterone has the potential to mediate changes in behavior and energy allocation and needs to be further explored in amphibians.</p>
<p>As a true toad (part of the family Bufonidae), <italic>I. nebulifer</italic> produces bufadienolides (<xref ref-type="bibr" rid="ref53">Porto and Gros, 1971</xref>; <xref ref-type="bibr" rid="ref52">Porto et al., 1972</xref>; <xref ref-type="bibr" rid="ref21">Coloma et al., 1984</xref>; <xref ref-type="bibr" rid="ref32">Garraffo and Gros, 1986</xref>). Bufadienolides are endogenously produced toxic compounds that cause cardiac arrhythmia or in some cases cardiac arrest when ingested (<xref ref-type="bibr" rid="ref19">Clarke, 1997</xref>). They are produced in granular glands in the skin and are often concentrated in two conspicuous parotoid glands on the dorsal side of the head. Bufadienolides and corticosterone both can represent responses to environmental cues such as herbicide exposure, habitat quality, urbanization, and conspecific chemical cues by either increasing or decreasing in concentration (Bufadienolides: <xref ref-type="bibr" rid="ref34">Hagman et al., 2009</xref>; <xref ref-type="bibr" rid="ref10">B&#x00F3;kony et al., 2017</xref>, <xref ref-type="bibr" rid="ref12">2019</xref>; Corticosterone: <xref ref-type="bibr" rid="ref38">Hopkins et al., 1997</xref>; <xref ref-type="bibr" rid="ref33">Goff et al., 2020</xref>; <xref ref-type="bibr" rid="ref11">B&#x00F3;kony et al., 2021</xref>). Thus, it is useful to determine whether one or both phenotypes change in response to chronic environmental change.</p>
<p>To evaluate the effects of the larval developmental environment, we exposed <italic>I. nebulifer</italic> tadpoles to low water levels and elevated water temperature in a fully factorial design. To determine if there are any carryover effects after metamorphosis, toadlets from each larval treatment were exposed to an invasive predator, the red imported fire ant (<italic>Solenopsis invicta</italic>; RIFA). RIFA is an invasive species in many parts of the world, and like most other invasive species, it is particularly effective at colonizing anthropogenically disturbed habitats. RIFA is implicated as a cause of many species&#x2019; declines including amphibians (<xref ref-type="bibr" rid="ref3">Allen et al., 2004</xref>, <xref ref-type="bibr" rid="ref2">2017</xref>). In the United States, it is more aggressive and more toxic than the native ants including the native tropical fire ant (<italic>Solenopsis geminata</italic>). Native ants are an important food source for many recently metamorphosed amphibians (<xref ref-type="bibr" rid="ref67">Smith et al., 2004</xref>), but RIFA has turned the tables and will prey on amphibians as they leave ephemeral pools (<xref ref-type="bibr" rid="ref69">Todd et al., 2008</xref>).</p>
<p>We used an integrative approach to explore the effects of the larval developmental environment and post-metamorphic predator exposure on the corticosterone profile, hop performance, total lipid concentration, and measures of bufadienolide production in <italic>I. nebulifer</italic>. Previous studies have found that low water levels and elevated water temperature results in accelerated development and smaller sizes at metamorphosis in other species of tadpoles (<xref ref-type="bibr" rid="ref44">Maciel and Junc&#x00E1;, 2009</xref>) and elevated baseline corticosterone levels (<xref ref-type="bibr" rid="ref50">Narayan et al., 2012</xref>; <xref ref-type="bibr" rid="ref51">Narayan and Hero, 2014</xref>; <xref ref-type="bibr" rid="ref29">Gabor et al., 2018</xref>). Smaller toadlets with an altered corticosterone profile could have altered behaviors, energy allocations, and predator defenses when exposed to a predator.</p>
<p>We hypothesized that <italic>I. nebulifer</italic> will alter their corticosterone profile in response to factors associated with anthropogenic environmental change and, either associated with or in addition to their altered corticosterone profile, will have altered behaviors and/or physiological pathways. If <italic>I. nebulifer</italic> tadpoles perceive warmer water and decreased water level as a stressful habitat, we predicted that tadpoles from treatments with warmer water and decreased water levels will have elevated baseline corticosterone release rates. If toadlets have carryover effects from the potentially more stressful larval environments, we predict they will also have elevated baseline corticosterone release rates and an altered corticosterone profile, decreased hop performance, reduced lipid levels, and a reduction in bufadienolide production when compared to the control treatment. If toadlets exposed to potentially more stressful larval environments have altered physiology and behavior but still have a functioning HPI axis, when exposed to RIFA, their physiology and behavior will change compared to the no-predator exposure treatment.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="sec3">
<title>Egg collection and tadpole husbandry</title>
<p>We collected about 200 eggs from four <italic>I. nebulifer</italic> egg strands (800 eggs total) in San Marcos, TX (long: &#x2212;97.94285, lat: 29.90115) on 26 March 2020 (one strand) and 7 April 2020 (three strands). All eggs were at the same stage of development when collected and the site was a natural area and considered to have little anthropogenic alterations. After collection, we transported the eggs to our lab at Texas State University and we divided each egg strand among three 5.7&#x2009;L polypropylene containers filled with 3&#x2009;L aged tap water (12 containers total). Eggs hatched 1&#x2013;2&#x2009;days after collection and were free-swimming after 1&#x2009;week. Once the tadpoles were free swimming, they were fed a food pellet consisting of a mixture of spirulina powder and Tetramin fish flakes in an agar base <italic>ad libitum</italic>. After the first feeding, we took 30 tadpoles from each container that were seen feeding (360 total) and mixed them in a single tank to be used for the experiment.</p>
</sec>
<sec id="sec4">
<title>Heating and water level exposure: Tadpoles</title>
<p>We randomly divided tadpoles among 56 containers (six tadpoles per container) and each container was exposed to one of four treatments: (1) 3&#x2009;L of 23&#x00B0;C water (i.e., low urbanization alterations), (2) 1.5&#x2009;L of 23&#x00B0;C water (i.e., moderate urbanization alterations), (3) 3&#x2009;L of 32&#x00B0;C water (i.e., moderate urbanization alterations), and (4) 1.5&#x2009;L of 32&#x00B0;C water (i.e., high urbanization alterations). We used four strands to increase the genetic diversity of our sample but differences among egg strands were not the focus of this study so strand ID was not maintained. Temperatures were selected to be ecologically relevant and close to developmental thermal tolerances. The 23&#x00B0;C water temperature was based on the average water temperature measured at the site of collection during the time of collection (March 25, 26, 27, and April 7, 2020) which was 21.7&#x00B0;C. The 32&#x00B0;C water temperature was based on the average water temperature measurements taken toward the end of the rainy season when surface water is present but water levels are low (June 28, 29, July 5, and 6) which was 34.2&#x00B0;C. Developmental thermal tolerances for <italic>I. nebulifer</italic> are between a low of 18&#x2013;22&#x00B0;C and a high of 34&#x2013;38&#x00B0;C (<xref ref-type="bibr" rid="ref6">Ballinger and McKinney, 1966</xref>). We chose to have two fixed water levels rather than a fixed and a reducing water level to focus on the environmental stimulus of water level rather than the stimulus of drying. We heated 32&#x00B0;C water treatments with 100&#x2009;W submersible All-Aquarium heaters and supplied all containers with a foam float for toadlets to climb out on after metamorphosis. We maintained all containers on a 12:12 light/dark cycle and performed partial water changes bi-weekly. Containers were randomly shuffled among spaces weekly to prevent any shelf effects.</p>
</sec>
<sec id="sec5">
<title>RIFA exposure: Metamorphs</title>
<p>Once metamorphosed, we kept toadlets individually in 500&#x2009;mL deli cups with perforated lids, enough water to cover part of the bottom of the cup, and a shelter made from a cardboard egg crate. Five days post metamorphosis we fed toadlets seven wingless fruit flies (<italic>Drosophila melanogaster</italic>; determined by preliminary feeding experiments). Toadlets that ate were weighed and photographed for total length measurements and then randomly divided into two treatments: (1) RIFA exposure and (2) control groups. Two toadlets from each tank were used in the RIFA and control treatments. However, mortality reduced some tanks to one or zero toadlets (final <italic>n</italic>&#x2009;=&#x2009;150). Toadlets were fed seven wingless fruit flies every other day for the duration of the experiment. We refreshed the water and recorded the number of flies eaten every other day. Cardboard hides were replaced bi-weekly or as needed. RIFA exposure consisted of removing the water and hide from the deli cup and introducing three fire ants for 10&#x2009;min. After the 10&#x2009;min exposure, we removed RIFA with a gloved hand and forceps, added clean water, replaced the hide, and fed the toadlets. RIFA were not prevented from attacking toadlets but the number of fire ants presented could not subdue the toadlets and no mortality as a direct result of the RIFA exposure was observed. The control group had the same treatment but without the introduction of RIFA (water and hide removed for 10&#x2009;min and gloved hand and forceps placed in the deli cup as was done to remove RIFA). Wingless fruit flies and RIFA were sedated using CO<sub>2</sub> for easy handling but were allowed time to recover before use. Toadlet treatments lasted 30&#x2009;days from treatment assignment.</p>
</sec>
<sec id="sec6">
<title>Water-borne corticosterone</title>
<p>After 30&#x2009;days of treatment exposure, we measured water-borne corticosterone profiles: baseline, agitation, and recovery release rates following an established protocol (<xref ref-type="bibr" rid="ref30">Gabor et al., 2013</xref>; <xref ref-type="bibr" rid="ref28">Forsburg et al., 2019</xref>) with a minor modification for toadlets. Briefly, we placed toadlets in glass petri dishes with lids and 15&#x2009;mL spring water (enough to cover the bottom 1/3 of each toadlet) for water-borne hormone collection. Separate petri dishes were used for baseline, agitation, and recovery and toadlets were transferred with a gloved hand. Toadlets were agitated by placing petri dishes on a supply cart and gently swirling and rocking the supply cart for 1&#x2009;min every 3&#x2009;min for 60&#x2009;min. Water was collected from petri dishes into sterile falcon tubes and stored at &#x2212;20&#x00B0;C until processing. Hormone collection was done in the same room the treatments were performed where the temperature was being maintained at 23&#x00B0;C.</p>
<p>Hormones were extracted from the water using C18 solid-phase extraction columns (SepPak Vac3 cc/500&#x2009;mg; Waters, Inc., Milford, MA, United States) under vacuum pressure (following <xref ref-type="bibr" rid="ref28">Forsburg et al., 2019</xref>). We primed the columns with 4&#x2009;mL methanol and 4&#x2009;mL distilled water. After extraction, we eluted columns with 4&#x2009;mL methanol into borosilicate vials. The methanol was evaporated under a gentle stream of nitrogen gas while in a 37&#x00B0;C water bath. We re-suspended the residue in 500&#x2009;&#x03BC;L of 5% ethanol diluted with enzyme-immunoassay (EIA) buffer (provided by Cayman Chemicals Inc., Ann Arbor, MI, United States). After resuspension, we shook samples for 2&#x2009;h to fully resuspend the residue. The resuspension volume ensured that sample values were within the assay range of the EIA kits. Corticosterone release rates were measured in duplicate for all samples with an EIA kit (Cayman Chemicals Inc.) on a microplate absorbance reader (BioTek ELX800) set to 405&#x2009;nm. Inter-plate coefficient of variation was 12.50% (11 plates; range: 1.01&#x2013;12.03%).</p>
</sec>
<sec id="sec7">
<title>Hop performance</title>
<p>To quantify hop performance, toadlets were placed on a flat surface covered with damp white paper towels to help maintain body moisture, provide a textured surface, and give a contrasting background for video recording. A video camera was secured to a tripod to provide an overhead view of hop performance trials. Toadlets were placed under a 118&#x2009;mL cup for a 5&#x2009;min acclimation period. After the acclimation period, the cup was lifted and recording of the trial started. If the toadlet did not hop, a gentle touch of the hind legs was used to encourage hopping. The first three sequential hops that were uninterrupted and in the forward direction (toadlet was not hopping sideways) were analyzed. To quantify hop performance, we measured the three hops using Kinovea<xref rid="fn0004" ref-type="fn"><sup>1</sup></xref> (<xref ref-type="bibr" rid="ref54">Puig-Div&#x00ED; et al., 2019</xref>). Hop distance was determined by marking the location of the urostyle at the start and end of the hop and then measuring the distance between the two locations. The longest of the three hops was used as our maximum hop performance and the average of the three hops was used for average hop performance (<xref ref-type="bibr" rid="ref48">Moreno-Rueda et al., 2020</xref>). Both measures were interpreted as measures of predator avoidance response. Hop performance trials were performed in the same room the toadlets were housed where the temperature was maintained at 23&#x00B0;C. After the hop performance trials, toadlets were euthanized in an ice bath to prevent contamination of bufadienolides. After euthanasia, we weighed toadlets and photographed their dorsal side to measure snout-urostyle length (SUL) using imageJ (version 1.51w). Maximum and average hop performance were SUL corrected before analysis. Euthanized toadlets were placed in 2&#x2009;mL microcentrifuge tubes with 1&#x2009;mL HPLC-grade methanol and stored at room temperature for preservation and bufadienolide extraction until analysis.</p>
</sec>
<sec id="sec8">
<title>Bufadienolide analysis: Liquid chromatography-mass spectrometry</title>
<p>After preservation in HPLC-grade methanol (utilized throughout the bufadienolide analysis), we removed toadlets and evaporated the methanol under a gentle stream of nitrogen gas while in a 37&#x00B0;C water bath for shipping. Samples were then reconstituted in 0.7&#x2009;mL of methanol and vortexed for 45&#x2009;s to solubilize the rinse. Solubilized rinses were subsequently filtered through 13&#x2009;mm syringe filters (0.2&#x2009;&#x03BC;m PTFE membrane) into clean, labeled centrifuge tubes. Another 0.7&#x2009;mL of methanol was added to the syringe and filtered to remove any residual extract adhered to the membrane. We then evaporated the filtered extracts <italic>in vacuo</italic> (without heat) on a DNA SpeedVac. After drying, the extracts were resuspended in 50&#x2009;&#x03BC;L of methanol and centrifuged. The supernatants were placed into vials for LC&#x2013;MS/MS analysis.</p>
<p>We purchased eight bufadienolide standards (telocinobufagin, arenobufagin, cinobufotalin, cinobufagin, bufalin, marinobufagenin, resibufogenin, and gamabufotalin) from Cayman Chemicals Inc. and suspended them in methanol. Bufadienolide standards and reconstituted toadlet filtrates were then analyzed on an Exion HPLC equipped with a PDA detector and Sciex TripleTOF 5,600+ mass spectrometer in ESI positive mode with a calibrant delivery system. All samples were analyzed <italic>via</italic> reverse-phase HPLC utilizing an Agilent C18 column (4.6&#x2009;&#x00D7;&#x2009;150&#x2009;mm; 3.5&#x2009;&#x03BC;m particle size). The mobile phase consisted of two solvents: acidified water (0.1% formic acid, <italic>v/v</italic>; Solvent A) and acidified methanol (0.1% formic acid, <italic>v/v</italic>; Solvent B). We separated the extracts using the following gradient developed for the separation of the eight bufadienolides: 10% solvent B held for 2&#x2009;min then stepped to 55% solvent B. The gradient was then increased from 55&#x2013;65% solvent B in 5&#x2009;min. Next, the gradient was increased from 65&#x2013;74% solvent B over 9&#x2009;min then stepped to 100% solvent B for 7&#x2009;min. Finally, solvent B was stepped to initial conditions for 6&#x2009;min to re-equilibrate the column. The separation was performed at a flow rate of 1.00&#x2009;mL/min with the LC column oven set to 40&#x00B0;C. A 30&#x2009;&#x03BC;L sample of each reconstituted toadlet rinse was injected on-column.</p>
<p>Within the TOFMS method developed for bufadienolide relative quantification, the curtain gas was set to 30 PSI with source gases 1 &#x0026; 2 set to 60 PSI. Additionally, a source temperature of 550&#x00B0;C was utilized with a needle spray voltage of 5,500&#x2009;V. The declustering potential and collision energy were set to 70&#x2009;V and 10&#x2009;V, respectively. The collision energy was kept at 10&#x2009;V throughout the TOFMS scan (50&#x2013;1,000&#x2009;Da) to attempt to retain the molecular ion of bufadienolides for mass accuracy calculations. The mass spectrometer was calibrated every 5 samples, utilizing ESI positive calibration solution and the calibrant delivery system.</p>
<p>For the relative quantitation of the seven bufadienolides and absolute quantitation of bufalin, we prepared a serial dilution of the bufalin standard to generate a series of standard curves <italic>via</italic> LC&#x2013;MS/MS. Due to structural similarities in the backbone of bufalin compared to the other bufadienolides being quantified (<xref rid="fig1" ref-type="fig">Figure 1</xref>), we assumed these compounds have relatively equivalent ionization allowing for their quantitation based on bufalin measurements. As a result of bufadienolide standards&#x2019; high cost and sporadic availability, we were unable to make standard curves for each bufadienolide. Bufalin standards ranging from 0.00819&#x2009;&#x03BC;g/mL to 6.55&#x2009;&#x03BC;g/mL were analyzed <italic>via</italic> LC&#x2013;MS/MS (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>) from low to high concentration with blanks between each standard to generate standard curves for bufalin. Three full bufalin standard curves were analyzed on three separate days. To account for concentration ranges in which instrument response was non-linear, a weighted linear regression was utilized. Two of the three calibration curves were split for linear equations to be generated for high and low concentrations (high spine/low spine linear equations; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). Sample concentrations calculated from the curve generated closest to when samples were analyzed to properly control for instrument variability (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S3</xref>, <xref ref-type="supplementary-material" rid="SM1">S4</xref>). Four system suitability bufalin standards of 0.0164&#x2009;&#x03BC;g/mL, 0.328&#x2009;&#x03BC;g/mL, 1.64&#x2009;&#x03BC;g/mL, and 6.55&#x2009;&#x03BC;g/mL were analyzed prior, mid, and post sample batch acquisition to assess and account for instrument variability throughout the duration samples were analyzed.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Chemical structures of the stress hormone corticosterone, as well as four bufadienolides: bufalin, arenobufagin, marinobufagin, and telocinobufagin.</p>
</caption>
<graphic xlink:href="fevo-11-1112982-g001.tif"/>
</fig>
<p>We used PeakView&#x2122; software for the evaluation of data. The protonated exact mass of the eight bufadienolide standards was extracted from the total ion chromatogram (TIC) for peak area quantitation. The mass accuracy of the measured versus actual bufadienolide protonated exact masses were calculated using the formula:</p>
<disp-formula id="E1"><mml:math id="M1"><mml:mrow><mml:mrow><mml:mo>|</mml:mo><mml:mrow><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">measured</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi mathvariant="normal">actual mass</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">actual mass</mml:mi></mml:mrow></mml:mfrac></mml:mrow><mml:mo>|</mml:mo></mml:mrow><mml:mo>&#x2217;</mml:mo><mml:msup><mml:mrow><mml:mn>10</mml:mn></mml:mrow><mml:mn>6</mml:mn></mml:msup></mml:mrow></mml:math></disp-formula>
<p>Compounds with a mass accuracy less than 5&#x2009;ppm were considered identical to bufadienolide standards. For secondary confirmation of the identification of the bufadienolide, retention time was utilized.</p>
</sec>
<sec id="sec9">
<title>Lipid analysis</title>
<p>After removal of toadlet remains from the methanol for bufadienolide analysis, we dried the toadlets at 60&#x00B0;C until they were a constant weight (36&#x2013;48&#x2009;h). We then placed the toadlet remains in a lipid free filter paper (Whatman&#x2122; Grade 602H) envelope made by cutting the filter paper into a 4&#x2009;&#x00D7;&#x2009;6 cm rectangle. The short sides of the rectangle were pre-folded into the middle and the long sides of the rectangle were pre-folded into thirds to create guidelines for sample placement. Toadlet remains were then placed in the 2&#x2009;&#x00D7;&#x2009;2 cm center square made by the pre-folding guidelines. We repeated the folding, the short sides folded followed by the long sides, and stapled the end of the resulting 2&#x2009;&#x00D7;&#x2009;2 cm square envelope to seal it. Preliminary trials showed that staples did not change weight during the extraction process and encased remains were sufficiently retained. Because of the small size of the toadlet remains, we used the intact toadlets to prevent any loss of material that could occur if homogenized.</p>
<p>We labeled the filter paper envelopes using a graphite pencil and placed the filter paper envelopes into a Soxhlet extraction setup. For efficiency, we processed samples in batches with ~12 samples per setup. We used petroleum ether as our extraction solvent and heated it to 45&#x00B0;C. This resulted in a cycle time of about 15&#x2009;min. We extracted the samples for 6&#x2009;h, allowed the remaining petroleum ether to evaporate off the samples, and placed the samples in a 60&#x00B0;C dryer for 1&#x2009;h.</p>
<p>We weighed the toadlet remains after initial drying (<inline-formula><mml:math id="M2"><mml:mi>S</mml:mi></mml:math></inline-formula>), after being placed in the filter paper envelope, and after the final drying (<inline-formula><mml:math id="M3"><mml:mi>T</mml:mi></mml:math></inline-formula>). We determined the total lipid content as the percent of total body weight lost during the extraction process and used the following formula:</p>
<disp-formula id="E2"><mml:math id="M4"><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>T</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>F</mml:mi><mml:mi>P</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mo>&#x00F7;</mml:mo><mml:mi>S</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mo>&#x00D7;</mml:mo><mml:mn>100</mml:mn></mml:mrow></mml:math></disp-formula>
<p>Where <inline-formula><mml:math id="M5"><mml:mrow><mml:mi>F</mml:mi><mml:mi>P</mml:mi></mml:mrow></mml:math></inline-formula> is the weight of the filter paper determined by subtracting the initial dried weight from the weight of the sample in the filter paper envelope.</p>
</sec>
<sec id="sec10">
<title>Growth and development</title>
<p>As additional measurements of energy allocation tradeoffs we measured tadpole development time, tadpole growth, and toadlet growth. Tadpole development time was measured as days from collection to complete tail reabsorption at metamorphosis. Tadpole growth was estimated from toadlet mass after metamorphosis but before first feeding. Tadpoles were too small at the start of the experiment to get an accurate starting weight (&#x003C;10&#x2009;mg) without excessive handling to dry tadpoles. Differences in size immediately following metamorphosis were assumed to represent differences in growth as tadpoles. Toadlet growth was measured as the difference in weight from complete tail reabsorption to weight at euthanasia. Tadpole and toadlet growth were log<sub>10</sub> transformed.</p>
</sec>
<sec id="sec11">
<title>Statistical analysis</title>
<p>We performed all statistics in RStudio (version 1.4.1106) using the R statistical software (version 4.0.5). All response variables were analyzed with linear mixed-effects models using the packages &#x201C;lme4&#x201D; and &#x201C;lmerTest&#x201D; with water temperature, water level and RIFA exposure as fixed effects and container as a random effect. Mass or SUL was used to control for size for corticosterone, bufadienolide, lipid, and hop performance measurements. Toad stress response was analyzed at absolute release rates (baseline, stress induced, and recovery release rates) and relative release rates (magnitude of stress response and negative feedback). Corticosterone absolute release rates were quantified as the amount of water-borne corticosterone measured over 1&#x2009;h, divided by body mass (pg/g/h), and log base-10 transformed. The magnitude of stress response was quantified using the following formula (<xref ref-type="bibr" rid="ref41">Lattin and Kelly, 2019</xref>; <xref ref-type="bibr" rid="ref11">B&#x00F3;kony et al., 2021</xref>):</p>
<disp-formula id="E3"><mml:math id="M6"><mml:mrow><mml:mn>100</mml:mn><mml:mo>&#x00D7;</mml:mo><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>s</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>e</mml:mi><mml:mi>s</mml:mi><mml:mi>s</mml:mi><mml:mi>e</mml:mi><mml:mi>d</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>b</mml:mi><mml:mi>a</mml:mi><mml:mi>s</mml:mi><mml:mi>e</mml:mi><mml:mi>l</mml:mi><mml:mi>i</mml:mi><mml:mi>n</mml:mi><mml:mi>e</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mo>&#x00F7;</mml:mo><mml:mi>b</mml:mi><mml:mi>a</mml:mi><mml:mi>s</mml:mi><mml:mi>e</mml:mi><mml:mi>l</mml:mi><mml:mi>i</mml:mi><mml:mi>n</mml:mi><mml:mi>e</mml:mi></mml:mrow></mml:math></disp-formula>
<p>Similarly, negative feedback was quantified using the following formula:</p>
<disp-formula id="E4"><mml:math id="M7"><mml:mrow><mml:mn>100</mml:mn><mml:mo>&#x00D7;</mml:mo><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>s</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>e</mml:mi><mml:mi>s</mml:mi><mml:mi>s</mml:mi><mml:mi>e</mml:mi><mml:mi>d</mml:mi><mml:mo>&#x2212;</mml:mo><mml:mi>r</mml:mi><mml:mi>e</mml:mi><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>v</mml:mi><mml:mi>e</mml:mi><mml:mi>r</mml:mi><mml:mi>y</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mo>&#x00F7;</mml:mo><mml:mi>s</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>e</mml:mi><mml:mi>s</mml:mi><mml:mi>s</mml:mi><mml:mi>e</mml:mi><mml:mi>d</mml:mi></mml:mrow></mml:math></disp-formula>
<p>A type-2 analysis-of-deviance table was used to pairwise compare the three absolute concentrations across the treatment groups using the &#x201C;Anova&#x201D; function in the &#x201C;car&#x201D; package. The significance level was corrected using the false discovery rate (FDR) method in the package &#x201C;emmeans.&#x201D; To parse out any three-way interactions we calculated the estimated marginal means using the &#x201C;emmeans&#x201D; package and plotted the results with 95% confidence intervals. Correlations between corticosterone measurements and total measured bufadieniolide amount, hop performance, and lipid levels were performed using Spearman&#x2019;s rank correlation. Because of the inherent variability of these response variables, we considered a value of <italic>p</italic> threshold of 0.06 to be significant rather than the arbitrary convention of 0.05.</p>
</sec>
</sec>
<sec id="sec12" sec-type="results">
<title>Results</title>
<sec id="sec13">
<title>Water-borne corticosterone</title>
<p>The main treatment effects significantly changed baseline tadpole corticosterone release rates. Warmer water increased corticosterone release rates and reduced water level also increased corticosterone release rates (temperature: estimate&#x2009;=&#x2009;0.82, df&#x2009;=&#x2009;51.9, <italic>t</italic>&#x2009;=&#x2009;3.4, <italic>p</italic>&#x2009;=&#x2009;0.001; water level: estimate&#x2009;=&#x2009;0.45, df&#x2009;=&#x2009;51.9, <italic>t</italic>&#x2009;=&#x2009;1.9, <italic>p</italic>&#x2009;=&#x2009;0.06). Pairwise comparisons of toadlet corticosterone release rates across all treatments showed a significant effect of sample type indicating that our hormone sampling methods were effective in detecting an active HPI axis (<xref rid="tab1" ref-type="table">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Pairwise comparisons of sample types across all treatments.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Contrast</th>
<th align="center" valign="middle">Estimate&#x2009;&#x00B1;&#x2009;se</th>
<th align="center" valign="middle"><italic>t</italic>-ratio</th>
<th align="center" valign="middle">Adjusted <italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Baseline&#x2014;stressed</td>
<td align="char" valign="top" char="&#x00B1;">&#x2212;0.236 &#x00B1; 0.077</td>
<td align="char" valign="top" char=".">&#x2212;3.052</td>
<td align="char" valign="top" char=".">0.004</td>
</tr>
<tr>
<td align="left" valign="top">Stressed&#x2014;recovery</td>
<td align="char" valign="top" char="&#x00B1;">0.401 &#x00B1; 0.077</td>
<td align="char" valign="top" char=".">5.193</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>p</italic> values were adjusted using the false discovery rate method.</p>
</table-wrap-foot>
</table-wrap>
<p>Baseline toadlet corticosterone release rate showed a significant three-way interaction with water temperature, water level, and exposure to RIFA (<xref rid="tab2" ref-type="table">Table 2</xref>). Baseline corticosterone release rates are higher when exposed to RIFA and 32&#x00B0;C water or low water level and RIFA, but when exposed to 32&#x00B0;C water, low water level, and RIFA baseline corticosterone release rates are similar to other treatments although more variable (<xref rid="fig2" ref-type="fig">Figure 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Results of mixed-effects models for corticosterone analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Dependent variable</th>
<th align="left" valign="middle">Model coefficients</th>
<th align="center" valign="middle">Estimate</th>
<th align="center" valign="middle">se</th>
<th align="center" valign="middle"><italic>t</italic>-value</th>
<th align="center" valign="middle">df</th>
<th align="center" valign="middle"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Tadpole baseline corticosterone concentration</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">0.82</td>
<td align="char" valign="top" char=".">0.24</td>
<td align="char" valign="top" char=".">3.40</td>
<td align="char" valign="top" char=".">51.91</td>
<td align="char" valign="top" char=".">0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">0.45</td>
<td align="char" valign="top" char=".">0.24</td>
<td align="char" valign="top" char=".">1.87</td>
<td align="char" valign="top" char=".">51.91</td>
<td align="char" valign="top" char=".">0.06<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">&#x2212;0.33</td>
<td align="char" valign="top" char=".">0.34</td>
<td align="char" valign="top" char=".">&#x2212;0.97</td>
<td align="char" valign="top" char=".">52.31</td>
<td align="char" valign="top" char=".">0.34</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Toadlet baseline corticosterone concentration</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">&#x2212;0.16</td>
<td align="char" valign="top" char=".">0.27</td>
<td align="char" valign="top" char=".">&#x2212;0.58</td>
<td align="char" valign="top" char=".">69.26</td>
<td align="char" valign="top" char=".">0.56</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">&#x2212;0.33</td>
<td align="char" valign="top" char=".">0.27</td>
<td align="char" valign="top" char=".">&#x2212;1.21</td>
<td align="char" valign="top" char=".">70.77</td>
<td align="char" valign="top" char=".">0.23</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">&#x2212;0.37</td>
<td align="char" valign="top" char=".">0.23</td>
<td align="char" valign="top" char=".">&#x2212;1.59</td>
<td align="char" valign="top" char=".">36.59</td>
<td align="char" valign="top" char=".">0.12</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">0.47</td>
<td align="char" valign="top" char=".">0.38</td>
<td align="char" valign="top" char=".">1.24</td>
<td align="char" valign="top" char=".">68.91</td>
<td align="char" valign="top" char=".">0.22</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">0.91</td>
<td align="char" valign="top" char=".">0.35</td>
<td align="char" valign="top" char=".">2.60</td>
<td align="char" valign="top" char=".">37.77</td>
<td align="char" valign="top" char=".">0.01<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">0.94</td>
<td align="char" valign="top" char=".">0.35</td>
<td align="char" valign="top" char=".">2.71</td>
<td align="char" valign="top" char=".">41.49</td>
<td align="char" valign="top" char=".">0.01<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;1.72</td>
<td align="char" valign="top" char=".">0.53</td>
<td align="char" valign="top" char=".">&#x2212;3.22</td>
<td align="char" valign="top" char=".">45.80</td>
<td align="char" valign="top" char=".">0.002<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Agitation corticosterone concentration</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">&#x2212;0.12</td>
<td align="char" valign="top" char=".">0.19</td>
<td align="char" valign="top" char=".">&#x2212;0.64</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.53</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">&#x2212;0.30</td>
<td align="char" valign="top" char=".">0.19</td>
<td align="char" valign="top" char=".">&#x2212;1.58</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.12</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">0.25</td>
<td align="char" valign="top" char=".">0.20</td>
<td align="char" valign="top" char=".">1.20</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.23</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">0.09</td>
<td align="char" valign="top" char=".">0.28</td>
<td align="char" valign="top" char=".">0.34</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.74</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.37</td>
<td align="char" valign="top" char=".">0.28</td>
<td align="char" valign="top" char=".">&#x2212;1.34</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.18</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">0.37</td>
<td align="char" valign="top" char=".">0.31</td>
<td align="char" valign="top" char=".">1.19</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.24</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">0.16</td>
<td align="char" valign="top" char=".">0.42</td>
<td align="char" valign="top" char=".">0.39</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.70</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Recovery corticosterone concentration</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">&#x2212;0.22</td>
<td align="char" valign="top" char=".">0.21</td>
<td align="char" valign="top" char=".">&#x2212;1.09</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.28</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">0.06</td>
<td align="char" valign="top" char=".">0.20</td>
<td align="char" valign="top" char=".">0.31</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.76</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">0.07</td>
<td align="char" valign="top" char=".">0.021</td>
<td align="char" valign="top" char=".">0.33</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.74</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">0.00</td>
<td align="char" valign="top" char=".">0.029</td>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.99</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.02</td>
<td align="char" valign="top" char=".">0.29</td>
<td align="char" valign="top" char=".">&#x2212;0.05</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.96</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.34</td>
<td align="char" valign="top" char=".">0.33</td>
<td align="char" valign="top" char=".">&#x2212;1.03</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.31</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">0.37</td>
<td align="char" valign="top" char=".">0.44</td>
<td align="char" valign="top" char=".">0.84</td>
<td align="char" valign="top" char=".">71</td>
<td align="char" valign="top" char=".">0.41</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Magnitude of response</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">4.33</td>
<td align="char" valign="top" char=".">4.33</td>
<td align="char" valign="top" char=".">1.00</td>
<td align="char" valign="top" char=".">69.4</td>
<td align="char" valign="top" char=".">0.32</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">1.97</td>
<td align="char" valign="top" char=".">4.42</td>
<td align="char" valign="top" char=".">0.45</td>
<td align="char" valign="top" char=".">70.80</td>
<td align="char" valign="top" char=".">0.66</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">4.59</td>
<td align="char" valign="top" char=".">3.82</td>
<td align="char" valign="top" char=".">1.20</td>
<td align="char" valign="top" char=".">38.01</td>
<td align="char" valign="top" char=".">0.24</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">&#x2212;8.81</td>
<td align="char" valign="top" char=".">6.16</td>
<td align="char" valign="top" char=".">&#x2212;1.43</td>
<td align="char" valign="top" char=".">69.07</td>
<td align="char" valign="top" char=".">0.16</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;9.17</td>
<td align="char" valign="top" char=".">5.70</td>
<td align="char" valign="top" char=".">&#x2212;1.61</td>
<td align="char" valign="top" char=".">39.18</td>
<td align="char" valign="top" char=".">0.12</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;7.16</td>
<td align="char" valign="top" char=".">5.67</td>
<td align="char" valign="top" char=".">&#x2212;1.27</td>
<td align="char" valign="top" char=".">42.85</td>
<td align="char" valign="top" char=".">0.21</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">24.48</td>
<td align="char" valign="top" char=".">8.68</td>
<td align="char" valign="top" char=".">2.82</td>
<td align="char" valign="top" char=".">47.09</td>
<td align="char" valign="top" char=".">0.007<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Rate of negative feedback</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">&#x2212;1.96</td>
<td align="char" valign="top" char=".">3.84</td>
<td align="char" valign="top" char=".">&#x2212;0.51</td>
<td align="char" valign="top" char=".">69.59</td>
<td align="char" valign="top" char=".">0.61</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">&#x2212;4.35</td>
<td align="char" valign="top" char=".">3.94</td>
<td align="char" valign="top" char=".">&#x2212;1.10</td>
<td align="char" valign="top" char=".">70.95</td>
<td align="char" valign="top" char=".">0.27</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">&#x2212;2.93</td>
<td align="char" valign="top" char=".">3.58</td>
<td align="char" valign="top" char=".">&#x2212;0.82</td>
<td align="char" valign="top" char=".">36.97</td>
<td align="char" valign="top" char=".">0.42</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">&#x2212;1.00</td>
<td align="char" valign="top" char=".">5.46</td>
<td align="char" valign="top" char=".">&#x2212;0.18</td>
<td align="char" valign="top" char=".">69.11</td>
<td align="char" valign="top" char=".">0.86</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">5.23</td>
<td align="char" valign="top" char=".">5.33</td>
<td align="char" valign="top" char=".">0.98</td>
<td align="char" valign="top" char=".">38.17</td>
<td align="char" valign="top" char=".">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">7.79</td>
<td align="char" valign="top" char=".">5.28</td>
<td align="char" valign="top" char=".">1.48</td>
<td align="char" valign="top" char=".">41.81</td>
<td align="char" valign="top" char=".">0.15</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">3.53</td>
<td align="char" valign="top" char=".">8.05</td>
<td align="char" valign="top" char=".">0.44</td>
<td align="char" valign="top" char=".">46.41</td>
<td align="char" valign="top" char=".">0.66</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The random effect for baseline concentrations is container. The random effect for the magnitude of response is ID. <sup>&#x002A;</sup>Indicates significance. Intercept for all models is 23&#x00B0;C water temperature, adequate water level, and not exposed to RIFA. Estimates are the regression coefficients.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The estimated marginal means of Ln baseline corticosterone release rates of <italic>Incilius nebulifer</italic> toadlets by treatment. Error bars are 95% confidence intervals. &#x201C;L&#x201D; and &#x201C;H&#x201D; refer to low and high (adequate) water levels, respectively.</p>
</caption>
<graphic xlink:href="fevo-11-1112982-g002.tif"/>
</fig>
<p>The magnitude of the stress response showed a significant three-way interaction as well (<xref rid="tab2" ref-type="table">Table 2</xref>). Low water level, 32&#x00B0;C water, and exposure to RIFA increased the magnitude of stress response, while the same larval treatment that was not exposed to RIFA reduced the magnitude of stress response (<xref rid="fig3" ref-type="fig">Figure 3</xref>). The treatments showed no significant effect on the other measures of the corticosterone profile (negative feedback efficiency, stress induced release rates or recovery release rates).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The estimated marginal means of the magnitude of the stress response of <italic>I. nebulifer</italic> toadlets by treatment. Error bars are 95% confidence intervals. &#x201C;L&#x201D; and &#x201C;H&#x201D; refer to low and high (adequate) water levels, respectively.</p>
</caption>
<graphic xlink:href="fevo-11-1112982-g003.tif"/>
</fig>
</sec>
<sec id="sec14">
<title>Hop performance</title>
<p>Maximum and average hop performance were SUL corrected to account for the different sizes of individuals. Our treatments had no effect on maximum hop performance. Still, average hop performance was reduced in toadlets exposed to RIFA (<xref rid="tab3" ref-type="table">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Results of mixed-effects models for hop performance analysis for <italic>Incilius nebulifer</italic> toadlets.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Dependent variable</th>
<th align="left" valign="top">Model coefficients</th>
<th align="center" valign="top">Estimate</th>
<th align="center" valign="top">se</th>
<th align="center" valign="top"><italic>t</italic>-value</th>
<th align="center" valign="top">df</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="7">Maximum hop performance</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">0.83</td>
<td align="char" valign="top" char=".">69.66</td>
<td align="char" valign="top" char=".">0.42</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">&#x2212;0.01</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">&#x2212;0.37</td>
<td align="char" valign="top" char=".">72.73</td>
<td align="char" valign="top" char=".">0.68</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">&#x2212;0.05</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">&#x2212;1.87</td>
<td align="char" valign="top" char=".">40.79</td>
<td align="char" valign="top" char=".">0.09</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">0.04</td>
<td align="char" valign="top" char=".">0.05</td>
<td align="char" valign="top" char=".">0.72</td>
<td align="char" valign="top" char=".">70.93</td>
<td align="char" valign="top" char=".">0.45</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">0.06</td>
<td align="char" valign="top" char=".">0.04</td>
<td align="char" valign="top" char=".">1.45</td>
<td align="char" valign="top" char=".">42.63</td>
<td align="char" valign="top" char=".">0.19</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">0.04</td>
<td align="char" valign="top" char=".">0.47</td>
<td align="char" valign="top" char=".">45.51</td>
<td align="char" valign="top" char=".">0.86</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.01</td>
<td align="char" valign="top" char=".">0.07</td>
<td align="char" valign="top" char=".">&#x2212;0.35</td>
<td align="char" valign="top" char=".">47.92</td>
<td align="char" valign="top" char=".">0.88</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Average hop performance</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">0.0.2</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">0.60</td>
<td align="char" valign="top" char=".">69.51</td>
<td align="char" valign="top" char=".">0.6</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">&#x2212;0.01</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">&#x2212;0.29</td>
<td align="char" valign="top" char=".">72.68</td>
<td align="char" valign="top" char=".">0.7</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">&#x2212;0.06</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">&#x2212;1.98</td>
<td align="char" valign="top" char=".">40.13</td>
<td align="char" valign="top" char=".">0.05<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="char" valign="top" char=".">0.05</td>
<td align="char" valign="top" char=".">0.71</td>
<td align="char" valign="top" char=".">70.95</td>
<td align="char" valign="top" char=".">0.48</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">0.08</td>
<td align="char" valign="top" char=".">0.04</td>
<td align="char" valign="top" char=".">1.78</td>
<td align="char" valign="top" char=".">42.67</td>
<td align="char" valign="top" char=".">0.08</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">0.01</td>
<td align="char" valign="top" char=".">0.04</td>
<td align="char" valign="top" char=".">0.21</td>
<td align="char" valign="top" char=".">46.27</td>
<td align="char" valign="top" char=".">0.84</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.04</td>
<td align="char" valign="top" char=".">0.07</td>
<td align="char" valign="top" char=".">&#x2212;0.63</td>
<td align="char" valign="top" char=".">48.63</td>
<td align="char" valign="top" char=".">0.53</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The random effect is tank and the intercept for all models is 23&#x00B0;C water temperature, adequate water level, and not exposed to RIFA. Estimates are the regression coefficients. &#x002A;Indicates significance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Bufadienolide relative quantification <italic>via</italic> liquid chromatography&#x2013;mass spectrometry</title>
<p>The limit of detection (LOD) and limit of quantitation (LOQ) were calculated for the three bufalin standard curves (<xref ref-type="supplementary-material" rid="SM1">Supplementary Tables S4</xref>, <xref ref-type="supplementary-material" rid="SM1">S5</xref>). Most samples contained bufadienolides above the limit of quantitation for their respective calibration curves, but all calculated bufadienolides concentrations were above the limit of detection (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>). Of the eight bufadienolide compounds we analyzed for in the reconstituted toadlet filtrates <italic>via</italic> LC&#x2013;MS/MS, only three bufadienolides (arenobufagin, marinobufagin, and telecinobufagin) were detected (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>). Since no bufadienolides without a standard were included in our analysis, we were unable to conclude if alternative bufadienolides were present in our samples.</p>
<p>We found a significant interaction between the temperature treatment and the RIFA exposure treatment on arenobufagin concentration. Toadlets reared in 32&#x00B0;C water had reduced concentrations of arenobufagin when not exposed to RIFA but the concentration found in toadlets across temperature treatments did not significantly differ when exposed to RIFA (<xref rid="fig4" ref-type="fig">Figure 4</xref>). We found a marginal effect of the temperature treatment on marinobufagin concentration as well with the 32&#x00B0;C water treatment again reducing the concentration of marinobufagin. We did not find any significant effect of our treatments on telecinobufagin concentration, the total amount of bufadienolides, or bufadienolide diversity (<xref rid="tab4" ref-type="table">Table 4</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Estimated marginal means of the concentration of Arenobufagin in <italic>I. nebulifer</italic> toadlets in response to RIFA exposure and water temperature. Error bars are 95% confidence intervals.</p>
</caption>
<graphic xlink:href="fevo-11-1112982-g004.tif"/>
</fig>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Results of mixed-effects models for bufadienolide analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Dependent variable</th>
<th align="left" valign="middle">Model coefficients</th>
<th align="center" valign="middle">Estimate</th>
<th align="center" valign="middle">se</th>
<th align="center" valign="middle"><italic>t</italic>-value</th>
<th align="center" valign="middle">df</th>
<th align="center" valign="middle"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="7">Total measured bufadienolide concentration</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">&#x2212;2.17</td>
<td align="char" valign="top" char=".">1.38</td>
<td align="char" valign="top" char=".">&#x2212;1.57</td>
<td align="char" valign="top" char=".">71.25</td>
<td align="char" valign="top" char=".">0.12</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">0.90</td>
<td align="char" valign="top" char=".">1.45</td>
<td align="char" valign="top" char=".">0.62</td>
<td align="char" valign="top" char=".">71.92</td>
<td align="char" valign="top" char=".">0.53</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">&#x2212;1.13</td>
<td align="char" valign="top" char=".">1.30</td>
<td align="char" valign="top" char=".">&#x2212;0.87</td>
<td align="char" valign="top" char=".">40.13</td>
<td align="char" valign="top" char=".">0.39</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">&#x2212;0.23</td>
<td align="char" valign="top" char=".">2.00</td>
<td align="char" valign="top" char=".">&#x2212;0.11</td>
<td align="char" valign="top" char=".">70.62</td>
<td align="char" valign="top" char=".">0.91</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">1.92</td>
<td align="char" valign="top" char=".">1.92</td>
<td align="char" valign="top" char=".">1.00</td>
<td align="char" valign="top" char=".">43.89</td>
<td align="char" valign="top" char=".">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.88</td>
<td align="char" valign="top" char=".">1.93</td>
<td align="char" valign="top" char=".">&#x2212;0.46</td>
<td align="char" valign="top" char=".">45.07</td>
<td align="char" valign="top" char=".">0.65</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">0.50</td>
<td align="char" valign="top" char=".">2.93</td>
<td align="char" valign="top" char=".">0.17</td>
<td align="char" valign="top" char=".">50.76</td>
<td align="char" valign="top" char=".">0.87</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Bufadienolide diversity</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">&#x2212;0.27</td>
<td align="char" valign="top" char=".">0.19</td>
<td align="char" valign="top" char=".">&#x2212;1.44</td>
<td align="char" valign="top" char=".">72</td>
<td align="char" valign="top" char=".">0.15</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">0.07</td>
<td align="char" valign="top" char=".">0.20</td>
<td align="char" valign="top" char=".">0.36</td>
<td align="char" valign="top" char=".">72</td>
<td align="char" valign="top" char=".">0.72</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">0.02</td>
<td align="char" valign="top" char=".">0.18</td>
<td align="char" valign="top" char=".">0.08</td>
<td align="char" valign="top" char=".">72</td>
<td align="char" valign="top" char=".">0.94</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">0.05</td>
<td align="char" valign="top" char=".">0.27</td>
<td align="char" valign="top" char=".">0.19</td>
<td align="char" valign="top" char=".">72</td>
<td align="char" valign="top" char=".">0.85</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">0.11</td>
<td align="char" valign="top" char=".">0.27</td>
<td align="char" valign="top" char=".">0.39</td>
<td align="char" valign="top" char=".">72</td>
<td align="char" valign="top" char=".">0.70</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.27</td>
<td align="char" valign="top" char=".">0.27</td>
<td align="char" valign="top" char=".">&#x2212;0.99</td>
<td align="char" valign="top" char=".">72</td>
<td align="char" valign="top" char=".">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">0.48</td>
<td align="char" valign="top" char=".">0.41</td>
<td align="char" valign="top" char=".">1.17</td>
<td align="char" valign="top" char=".">72</td>
<td align="char" valign="top" char=".">0.25</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Arenobufagin</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">&#x2212;1.07</td>
<td align="char" valign="top" char=".">0.81</td>
<td align="char" valign="top" char=".">&#x2212;1.33</td>
<td align="char" valign="top" char=".">71.30</td>
<td align="char" valign="top" char=".">0.19</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">0.52</td>
<td align="char" valign="top" char=".">0.85</td>
<td align="char" valign="top" char=".">0.61</td>
<td align="char" valign="top" char=".">71.90</td>
<td align="char" valign="top" char=".">0.54</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">&#x2212;1.10</td>
<td align="char" valign="top" char=".">0.76</td>
<td align="char" valign="top" char=".">&#x2212;1.46</td>
<td align="char" valign="top" char=".">40.66</td>
<td align="char" valign="top" char=".">0.15</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">&#x2212;0.03</td>
<td align="char" valign="top" char=".">1.16</td>
<td align="char" valign="top" char=".">&#x2212;0.03</td>
<td align="char" valign="top" char=".">70.67</td>
<td align="char" valign="top" char=".">0.98</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">2.48</td>
<td align="char" valign="top" char=".">1.12</td>
<td align="char" valign="top" char=".">2.22</td>
<td align="char" valign="top" char=".">44.33</td>
<td align="char" valign="top" char=".">0.03<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.14</td>
<td align="char" valign="top" char=".">1.12</td>
<td align="char" valign="top" char=".">&#x2212;0.13</td>
<td align="char" valign="top" char=".">45.61</td>
<td align="char" valign="top" char=".">0.90</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;1.38</td>
<td align="char" valign="top" char=".">1.70</td>
<td align="char" valign="top" char=".">&#x2212;0.81</td>
<td align="char" valign="top" char=".">51.16</td>
<td align="char" valign="top" char=".">0.42</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Marinobufagin</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">&#x2212;6.51</td>
<td align="char" valign="top" char=".">3.35</td>
<td align="char" valign="top" char=".">&#x2212;1.94</td>
<td align="char" valign="top" char=".">71.33</td>
<td align="char" valign="top" char=".">0.06<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">&#x2212;0.18</td>
<td align="char" valign="top" char=".">3.52</td>
<td align="char" valign="top" char=".">&#x2212;0.05</td>
<td align="char" valign="top" char=".">71.94</td>
<td align="char" valign="top" char=".">0.96</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">&#x2212;2.99</td>
<td align="char" valign="top" char=".">3.17</td>
<td align="char" valign="top" char=".">&#x2212;0.94</td>
<td align="char" valign="top" char=".">42.35</td>
<td align="char" valign="top" char=".">0.35</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">2.88</td>
<td align="char" valign="top" char=".">4.82</td>
<td align="char" valign="top" char=".">0.60</td>
<td align="char" valign="top" char=".">70.78</td>
<td align="char" valign="top" char=".">0.55</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">3.92</td>
<td align="char" valign="top" char=".">4.68</td>
<td align="char" valign="top" char=".">0.84</td>
<td align="char" valign="top" char=".">46.10</td>
<td align="char" valign="top" char=".">0.41</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">1.06</td>
<td align="char" valign="top" char=".">4.68</td>
<td align="char" valign="top" char=".">0.23</td>
<td align="char" valign="top" char=".">47.14</td>
<td align="char" valign="top" char=".">0.82</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;2.26</td>
<td align="char" valign="top" char=".">7.11</td>
<td align="char" valign="top" char=".">&#x2212;0.32</td>
<td align="char" valign="top" char=".">52.62</td>
<td align="char" valign="top" char=".">0.75</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Telecinobufagin</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">&#x2212;10.19</td>
<td align="char" valign="top" char=".">7.48</td>
<td align="char" valign="top" char=".">&#x2212;1.36</td>
<td align="char" valign="top" char=".">71.20</td>
<td align="char" valign="top" char=".">0.18</td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">&#x2212;1.83</td>
<td align="char" valign="top" char=".">7.86</td>
<td align="char" valign="top" char=".">&#x2212;0.23</td>
<td align="char" valign="top" char=".">71.92</td>
<td align="char" valign="top" char=".">0.82</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">&#x2212;10.23</td>
<td align="char" valign="top" char=".">7.06</td>
<td align="char" valign="top" char=".">&#x2212;1.45</td>
<td align="char" valign="top" char=".">38.91</td>
<td align="char" valign="top" char=".">0.16</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">5.68</td>
<td align="char" valign="top" char=".">10.77</td>
<td align="char" valign="top" char=".">0.53</td>
<td align="char" valign="top" char=".">70.53</td>
<td align="char" valign="top" char=".">0.60</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">14.63</td>
<td align="char" valign="top" char=".">10.41</td>
<td align="char" valign="top" char=".">1.41</td>
<td align="char" valign="top" char=".">42.71</td>
<td align="char" valign="top" char=".">0.17</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">6.17</td>
<td align="char" valign="top" char=".">10.41</td>
<td align="char" valign="top" char=".">0.59</td>
<td align="char" valign="top" char=".">43.91</td>
<td align="char" valign="top" char=".">0.56</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;5.75</td>
<td align="char" valign="top" char=".">15.84</td>
<td align="char" valign="top" char=".">&#x2212;0.36</td>
<td align="char" valign="top" char=".">49.73</td>
<td align="char" valign="top" char=".">0.72</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The random effect for each model is tank. Individual bufadienolides and total concentration are mass corrected. Intercept for all models is 23&#x00B0;C water temperature, adequate water level, and not exposed to RIFA. Estimates are the regression coefficients. <sup>&#x002A;</sup>Indicates significance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<title>Lipids</title>
<p>We found a significant interaction between water level and RIFA exposure. Low water levels were associated with reduced lipid levels regardless of RIFA exposure but those toadlets that were reared in low water levels and not exposed to RIFA had slightly increased lipid levels and those toadlets that were reared in sufficient water levels and not exposed to RIFA had decreased lipid levels. We also found an effect of temperature where 32&#x00B0;C water increased lipid levels (<xref rid="tab5" ref-type="table">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Results of mixed-effects models for lipid analysis in <italic>I. nebulifer</italic> toadlets.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Model coefficients</th>
<th align="center" valign="top">Estimate</th>
<th align="center" valign="top">se</th>
<th align="center" valign="top"><italic>t</italic>-value</th>
<th align="center" valign="top">df</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="top" char=".">0.35</td>
<td align="char" valign="top" char=".">0.17</td>
<td align="char" valign="top" char=".">2.14</td>
<td align="char" valign="top" char=".">66.82</td>
<td align="char" valign="top" char=".">0.04<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="top" char=".">&#x2212;0.48</td>
<td align="char" valign="top" char=".">0.17</td>
<td align="char" valign="top" char=".">&#x2212;2.82</td>
<td align="char" valign="top" char=".">72.29</td>
<td align="char" valign="top" char=".">0.006<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="top" char=".">0.33</td>
<td align="char" valign="top" char=".">0.13</td>
<td align="char" valign="top" char=".">2.45</td>
<td align="char" valign="top" char=".">33.05</td>
<td align="char" valign="top" char=".">0.02<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="top" char=".">&#x2212;0.32</td>
<td align="char" valign="top" char=".">0.24</td>
<td align="char" valign="top" char=".">&#x2212;1.33</td>
<td align="char" valign="top" char=".">68.32</td>
<td align="char" valign="top" char=".">0.19</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.32</td>
<td align="char" valign="top" char=".">0.20</td>
<td align="char" valign="top" char=".">&#x2212;1.59</td>
<td align="char" valign="top" char=".">35.59</td>
<td align="char" valign="top" char=".">0.12</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="top" char=".">&#x2212;0.43</td>
<td align="char" valign="top" char=".">0.20</td>
<td align="char" valign="top" char=".">&#x2212;2.12</td>
<td align="char" valign="top" char=".">39.31</td>
<td align="char" valign="top" char=".">0.04<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="top" char=".">0.33</td>
<td align="char" valign="top" char=".">0.32</td>
<td align="char" valign="top" char=".">1.05</td>
<td align="char" valign="top" char=".">44.44</td>
<td align="char" valign="top" char=".">0.30</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Tanks was used as the random effect. The intercept is 23&#x00B0;C water temperature, adequate water level, and not exposed to RIFA. Estimates are the regression coefficients. <sup>&#x002A;</sup>Indicates significance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec17">
<title>Growth and development</title>
<p>Tadpoles from 32&#x00B0;C water also developed quicker and were smaller in mass after metamorphosis than tadpoles from 23&#x00B0;C water. However, toadlets from reduced water level treatments as tadpoles had slower growth rates (<xref rid="tab6" ref-type="table">Table 6</xref>).</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Results of mixed-effects models for tadpole development time, tadpole growth, and toadlet growth analyzes for <italic>I. nebulifer</italic>.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Dependent variable</th>
<th align="left" valign="middle">Model coefficients</th>
<th align="center" valign="middle">Estimate</th>
<th align="center" valign="middle">se</th>
<th align="center" valign="middle"><italic>t</italic>-value</th>
<th align="center" valign="middle">df</th>
<th align="center" valign="middle"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Tadpole development time</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="middle" char=".">&#x2212;15.78</td>
<td align="char" valign="middle" char=".">2.16</td>
<td align="char" valign="middle" char=".">&#x2212;7.31</td>
<td align="char" valign="middle" char=".">139.00</td>
<td align="char" valign="middle" char=".">0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="middle" char=".">&#x2212;1.20</td>
<td align="char" valign="middle" char=".">2.24</td>
<td align="char" valign="middle" char=".">&#x2212;0.54</td>
<td align="char" valign="middle" char=".">139.00</td>
<td align="char" valign="middle" char=".">0.593</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="middle" char=".">2.80</td>
<td align="char" valign="middle" char=".">3.04</td>
<td align="char" valign="middle" char=".">0.92</td>
<td align="char" valign="middle" char=".">139.00</td>
<td align="char" valign="middle" char=".">0.358</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Tadpole growth</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="middle" char=".">&#x2212;0.29</td>
<td align="char" valign="middle" char=".">0.08</td>
<td align="char" valign="middle" char=".">&#x2212;3.57</td>
<td align="char" valign="middle" char=".">55.19</td>
<td align="char" valign="middle" char=".">0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="middle" char=".">0.11</td>
<td align="char" valign="middle" char=".">0.08</td>
<td align="char" valign="middle" char=".">1.27</td>
<td align="char" valign="middle" char=".">63.77</td>
<td align="char" valign="middle" char=".">0.21</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="middle" char=".">&#x2212;0.22</td>
<td align="char" valign="middle" char=".">0.12</td>
<td align="char" valign="middle" char=".">&#x2212;1.95</td>
<td align="char" valign="middle" char=".">53.91</td>
<td align="char" valign="middle" char=".">0.06<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="7">Toadlet growth</td>
<td align="left" valign="top">Water temperature</td>
<td align="char" valign="middle" char=".">&#x2212;0.03</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">&#x2212;3.42</td>
<td align="char" valign="middle" char=".">71.49</td>
<td align="char" valign="middle" char=".">0.001<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Water level</td>
<td align="char" valign="middle" char=".">&#x2212;0.01</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">&#x2212;0.82</td>
<td align="char" valign="middle" char=".">68.16</td>
<td align="char" valign="middle" char=".">0.41</td>
</tr>
<tr>
<td align="left" valign="top">RIFA exposure</td>
<td align="char" valign="middle" char=".">&#x2212;0.01</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">&#x2212;0.53</td>
<td align="char" valign="middle" char=".">64.53</td>
<td align="char" valign="middle" char=".">0.60</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">0.02</td>
<td align="char" valign="middle" char=".">1.65</td>
<td align="char" valign="middle" char=".">70.51</td>
<td align="char" valign="middle" char=".">0.11</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: RIFA</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">0.41</td>
<td align="char" valign="middle" char=".">65.49</td>
<td align="char" valign="middle" char=".">0.68</td>
</tr>
<tr>
<td align="left" valign="top">Level: RIFA</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="char" valign="middle" char=".">0.19</td>
<td align="char" valign="middle" char=".">68.72</td>
<td align="char" valign="middle" char=".">0.85</td>
</tr>
<tr>
<td align="left" valign="top">Temperature: Level: RIFA</td>
<td align="char" valign="middle" char=".">&#x2212;0.01</td>
<td align="char" valign="middle" char=".">0.02</td>
<td align="char" valign="middle" char=".">&#x2212;0.74</td>
<td align="char" valign="middle" char=".">66.53</td>
<td align="char" valign="middle" char=".">0.46</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Tadpole development time was measured as the number of days from egg collection to total absorption of the tail. Tadpole growth was measured as the mass of toadlets after total absorption of the tail. Toadlet growth was measured as the difference in weight from total absorption of the tail to euthanasia. The random effect is tank and the intercept for all models is 23&#x00B0;C water temperature, adequate water level, and not exposed to RIFA. Estimates are the regression coefficients. &#x002A;Indicates significant correlations.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec18">
<title>Correlations with corticosterone</title>
<p>We found that total measured bufadienolides were negatively correlated with magnitude of stress response and average (and marginally maximum) hop performance was positively correlated with baseline corticosterone levels. Interestingly, lipid levels were not correlated with any measure of corticosterone (<xref rid="tab7" ref-type="table">Table 7</xref>).</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Spearman&#x2019;s correlations of corticosterone measurements with other dependent variables.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Dependent variable</th>
<th align="left" valign="middle">Corticosterone measure</th>
<th align="center" valign="middle">rho</th>
<th align="center" valign="middle"><italic>S</italic></th>
<th align="center" valign="middle"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Total measured bufadienolides</td>
<td align="left" valign="top">Baseline</td>
<td align="char" valign="top" char=".">0.19</td>
<td align="center" valign="top">66,608</td>
<td align="char" valign="top" char=".">0.09</td>
</tr>
<tr>
<td align="left" valign="top">Magnitude of response</td>
<td align="char" valign="top" char=".">&#x2212;0.26</td>
<td align="center" valign="top">103,670</td>
<td align="char" valign="top" char=".">0.02<sup>&#x002A;&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Negative feedback</td>
<td align="char" valign="top" char=".">0.07</td>
<td align="center" valign="top">76,900</td>
<td align="char" valign="top" char=".">0.57</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Percent lipids</td>
<td align="left" valign="top">Baseline</td>
<td align="char" valign="top" char=".">0.03</td>
<td align="center" valign="top">79,406</td>
<td align="char" valign="top" char=".">0.77</td>
</tr>
<tr>
<td align="left" valign="top">Magnitude of response</td>
<td align="char" valign="top" char=".">&#x2212;0.02</td>
<td align="center" valign="top">83,961</td>
<td align="char" valign="top" char=".">0.85</td>
</tr>
<tr>
<td align="left" valign="top">Negative feedback</td>
<td align="char" valign="top" char=".">&#x2212;0.02</td>
<td align="center" valign="top">83,891</td>
<td align="char" valign="top" char=".">0.85</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Maximum hop performance</td>
<td align="left" valign="top">Baseline</td>
<td align="char" valign="top" char=".">0.21</td>
<td align="center" valign="top">64,798</td>
<td align="char" valign="top" char=".">0.06<sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Magnitude of response</td>
<td align="char" valign="top" char=".">&#x2212;0.11</td>
<td align="center" valign="top">91,191</td>
<td align="char" valign="top" char=".">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Negative feedback</td>
<td align="char" valign="top" char=".">&#x2212;0.4</td>
<td align="center" valign="top">85,461</td>
<td align="char" valign="top" char=".">0.73</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Average hop performance</td>
<td align="left" valign="top">Baseline</td>
<td align="char" valign="top" char=".">0.24</td>
<td align="center" valign="top">61,785</td>
<td align="char" valign="top" char=".">0.03<sup>&#x002A;&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Magnitude of response</td>
<td align="char" valign="top" char=".">&#x2212;0.11</td>
<td align="center" valign="top">91,859</td>
<td align="char" valign="top" char=".">0.30</td>
</tr>
<tr>
<td align="left" valign="top">Negative feedback</td>
<td align="char" valign="top" char=".">&#x2212;0.07</td>
<td align="center" valign="top">87,586</td>
<td align="char" valign="top" char=".">0.56</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x002A;</sup>, <sup>&#x002A;&#x002A;</sup> indicates significant correlations.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec19" sec-type="discussions">
<title>Discussion</title>
<p>We tested the ability of <italic>I. nebulifer</italic> raised in the lab from eggs to cope with factors commonly associated with anthropogenic environmental change. We found that tadpoles may cope with elevated water temperatures and reduced water levels with elevated baseline corticosterone release rates. After metamorphosis and exposure to RIFA, all toadlets were still able to mount a stress response and recover indicating an active HPI axis in all treatment groups (<xref ref-type="bibr" rid="ref73">Wingfield, 2013</xref>). Toadlet baseline corticosterone release rates were elevated when exposed to RIFA and one of the larval treatments (moderate anthropogenic alterations: either 32&#x00B0;C water or reduced water level) but when exposed to all three treatments (high anthropogenic alterations) baseline corticosterone release rates were not elevated. However, this treatment group had a larger magnitude of stress response. At moderate urbanization alterations, <italic>I. nebulifer</italic> may cope by increasing baseline corticosterone release rates, but at high urbanization alterations, <italic>I. nebulifer</italic> may cope by increasing their magnitude of stress response. In comparison, in a field study <xref ref-type="bibr" rid="ref11">B&#x00F3;kony et al. (2021)</xref> found that in urbanized ponds, common toad (<italic>Bufo bufo</italic>) tadpoles had higher baseline corticosterone release rates, a stronger stress response, and a more efficient negative feedback compared to tadpoles in natural and agricultural ponds. Interestingly unlike <italic>B. bufo</italic>, <italic>I. nebulifer</italic> toadlets did not alter their negative feedback across treatments. Unlike <italic>I. nebulifer</italic>, <italic>B. bufo</italic> struggles to persist in urban environments and is declining in many areas across its range primarily due to habitat alteration and disturbance. While not a perfect comparison, from these two results it might be more beneficial in warmer habitats to have a prolonged stress response particularly when it comes to exposure to biotic stressors like an invasive predator.</p>
<p>Bufadienolide concentration was primarily affected by temperature. Of the toxins measured, arenobufagin decreased with 32&#x00B0;C water and so did marinobufagin, indicating a possible tradeoff between baseline corticosterone release rates (which increased) and toxin production. While baseline corticosterone release rates were not significantly correlated with total measured bufadienolides, the magnitude of the stress response was negatively correlated with total measured bufadienolides giving further support to this tradeoff. However, when exposed to RIFA there was no longer a difference between water temperature treatments in arenobufagin levels. This demonstrates that <italic>I. nebulifer</italic> recognizes RIFA as a potential predator and can respond with adjustments to bufadienolide concentration. We found surprisingly little bufadienolide compound diversity within individuals, only observing three bufadienolide compounds. However, we did take a conservative approach to the bufadienolide analysis by not including toxins for which we did not have standards. We made an effort to compensate for this by including many toxin standards in our analysis (8 standards in our analysis compared to the average of 3 for most other published studies; <xref ref-type="bibr" rid="ref53">Porto and Gros, 1971</xref>; <xref ref-type="bibr" rid="ref8">Benard and Fordyce, 2003</xref>; <xref ref-type="bibr" rid="ref34">Hagman et al., 2009</xref>; <xref ref-type="bibr" rid="ref36">Hayes et al., 2009</xref>; <xref ref-type="bibr" rid="ref10">B&#x00F3;kony et al., 2017</xref>, <xref ref-type="bibr" rid="ref12">2019</xref>). That said, because the environmental significance of arenobufagin and marinobufagin in the defense against <italic>I. nebulifer</italic> predators has not been evaluated, we can make no inferences on the changes in toxicity of <italic>I. nebulifer</italic> with changes in arenobufagin and marinobufagin concentrations. Follow up studies directly exploring palatability of isolated toxins or individuals raised in differing environments could shed more light on the ecological importance of arenobufagin and marinobufagin. While we did see some correlations and potential tradeoffs in the production of corticosterone and bufadienolides, further studies are needed to understand the link between bufadienolide production and corticosterone. Bufadienolides and corticosterone are both cholesterol-based steroids that respond to both biotic and abiotic environmental stimuli, so they have the potential to share at least some parts of their biochemical pathway. Chemical structures of corticosterone, as well as four common bufadienolides are shown in <xref rid="fig1" ref-type="fig">Figure 1</xref>. The bufadienolide family displays a characteristic fifth ring, a dienolide, in the top right of the common steroid structure that is not present in the corticosterone structure. However, the response times to environmental stimuli differ so it is more likely that the relationship is due to resource (energetic or building block) limitations.</p>
<p>Hop performance provides insight on physiological and behavioral avoidance response. Hop performance is highly dependent on size (<xref ref-type="bibr" rid="ref7">Beck and Congdon, 2000</xref>; <xref ref-type="bibr" rid="ref14">Bredeweg et al., 2019</xref>; <xref ref-type="bibr" rid="ref76">Zamora-Camacho and Arag&#x00F3;n, 2019</xref>; <xref ref-type="bibr" rid="ref48">Moreno-Rueda et al., 2020</xref>; <xref ref-type="bibr" rid="ref42">Lima-Santos et al., 2021</xref>). Larger anurans will have longer hind limbs and more robust muscles allowing them to hop further. However, when size is controlled for, the behavioral aspects of hop performance can be more evident (<xref ref-type="bibr" rid="ref55">Putnam and Bennett, 1981</xref>; <xref ref-type="bibr" rid="ref40">Kowalski et al., 2018</xref>; <xref ref-type="bibr" rid="ref14">Bredeweg et al., 2019</xref>). We considered size corrected maximum and average hop performance as predator avoidance behavior with the understood caveat that muscular motor unit size and coordination have not been accounted for. We found no effect of our treatments on maximum hop performance, but we did find that average hop performance decreased with RIFA exposure. Compared to other anurans, toads are not as active in predator avoidance <italic>via</italic> hop performance, and in fact are known for being quite clumsy while hopping (<xref ref-type="bibr" rid="ref56">Rand, 1952</xref>; <xref ref-type="bibr" rid="ref55">Putnam and Bennett, 1981</xref>; <xref ref-type="bibr" rid="ref40">Kowalski et al., 2018</xref>). It is likely that toadlets reduce hop performance and rely more on crypsis or toxicity to avoid predation rather than fleeing. We also found that maximum and average hop performance was positively correlated with baseline corticosterone release rates confirming corticosterone&#x2019;s role in modulating behavior in <italic>I. nebulifer.</italic></p>
<p>Total lipid concentration is an estimate of body condition and under a standardized diet can be interpreted as energetic trade-offs among growth, somatic maintenance, and energy storage. During the tadpole stage individuals were fed <italic>ad libitum</italic>, but during the toadlet stage we standardized the number of flies to the average number of flies consumed by toadlets of a similar age (as determined by preliminary studies). Interpreting our total lipid concentration results in this context, toadlets invested less in energy storage when water levels were low. We also found that toadlets from low water levels grew slower, but tadpole water level did not influence development time. This indicates that either water level alters foraging behavior, or somatic maintenance after development in a low water level environment, is more energetically costly. Toadlets from warmer water invested more in energy storage presumably due to selection favoring increased foraging behavior in habitats of higher productivity such as the warmer water (<xref ref-type="bibr" rid="ref26">Fitzpatrick, 1976</xref>; <xref ref-type="bibr" rid="ref63">Schultz and Conover, 1997</xref>; <xref ref-type="bibr" rid="ref49">Morey, 1998</xref>; <xref ref-type="bibr" rid="ref4">&#x00C1;lvarez and Nicieza, 2002</xref>). However, tadpoles from warmer water developed faster and had a lower mass after metamorphosis. The tradeoff of investing in energy storage and development at the expense of growth could be the result of two different selection pressures. While warmer water has higher productivity, 32&#x00B0;C is approaching developmental thermal limits and selection could be favoring individuals that are able to develop quickly to escape unfavorable environments (<xref ref-type="bibr" rid="ref6">Ballinger and McKinney, 1966</xref>). Toadlets exposed to RIFA also had elevated investment of energy storage. <italic>Inicilius nebulifer</italic>&#x2019;s initial response to disturbance is crypsis rather than fleeing. The increase in investment of energy storage by toadlets exposed to RIFA might be a result of decreased movement such as that observed with the reduced average hop performance after RIFA exposure or the reduction in baseline corticosterone release rates. Interestingly, lipid concentrations showed no correlation with any measure of the corticosterone profile suggesting that energetic tradeoffs are not mediated by corticosterone levels.</p>
<p>Taken as a whole, we found that <italic>I. nebulifer</italic> copes with anthropogenic environmental changes with elevated baseline corticosterone release rates or elevated magnitude of the stress response. Bufadienolide production decreases with anthropogenic environmental changes, presumably due to a tradeoff with corticosterone production and supported by a negative correlation between total measured bufadienolides and the magnitude of the stress response, but further testing is needed. Predator avoidance (e.g., hop performance) was decreased in response to predator (RIFA) exposure possibly due to the primary behavioral response to disturbance by toads being cryptic rather than fleeing and this behavior is potentially mediated by baseline corticosterone levels. We also found that toadlets adjust their energy allocation based on the stressor experienced but we found no support that this is mediated by corticosterone. Qualitatively, these findings suggest that <italic>I. nebulifer</italic> adaptively responds to disturbances associated with anthropogenic change and suggests that <italic>I. nebulifer</italic> are using urban areas as dispersal pathways (<xref ref-type="bibr" rid="ref47">Milko, 2012</xref>; <xref ref-type="bibr" rid="ref45">Mendelson et al., 2015</xref>). The higher baseline corticosterone release rates and stronger stress response with the lack of a more efficient negative feedback demonstrate that a prolonged stress response might be adaptive in warmer environments such as anthropogenically modified areas for <italic>I. nebulifer</italic>. Future research comparing populations from varying levels of anthropogenic alterations in a common garden experiment could test if the responses we observed are indeed adaptive to anthropogenic environmental change.</p>
</sec>
<sec id="sec20">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by Texas State University Institutional Animal Care and Use Committee.</p>
</sec>
<sec id="sec21" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="sec22">
<title>Author contributions</title>
<p>DM and CG designed the experiment, analyzed the data, and wrote the manuscript. DM carried out the experiment and collected the data. KM, LB, and AW collected and analyzed the bufadienolide data and made significant edits to the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec23" sec-type="funding-information">
<title>Funding</title>
<p>This research was partially funded by a Texas State University graduate fellowship to DM. We acknowledge a Major Research Instrumentation grant from the National Science Foundation (CHE-2018399 to KM).</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>We thank the GASP lab for help with tadpole maintenance and insightful comments on the manuscript. Specifically, we thank Emily Blumstein for help with behavior and Grayson Overmann for help with tadpole measurements. We also thank Mark Olsen (Villanova University) for his suggestions and insights related to the quantitative LC&#x2013;MS/MS analysis of bufadienolides.</p>
</ack>
<sec id="sec25" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fevo.2023.1112982/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fevo.2023.1112982/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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