<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="brief-report" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Vet. Sci.</journal-id>
<journal-title>Frontiers in Veterinary Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Vet. Sci.</abbrev-journal-title>
<issn pub-type="epub">2297-1769</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fvets.2024.1474028</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Veterinary Science</subject>
<subj-group>
<subject>Perspective</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Harnessing the gut microbiome: a potential biomarker for wild animal welfare</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sonnega</surname> <given-names>Sam</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2763134/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Sheriff</surname> <given-names>Michael J.</given-names></name>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1247343/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff><institution>Department of Biology, UMass Dartmouth</institution>, <addr-line>Dartmouth, MA</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Valeria Pasciu, University of Sassari, Italy</p></fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Brianna R. Beechler, Oregon State University, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Sam Sonnega, <email>ssonnega@umassd.edu</email></corresp>
<corresp id="c002">Michael J. Sheriff, <email>msheriff@umassd.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>10</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1474028</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>07</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>09</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Sonnega and Sheriff.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Sonnega and Sheriff</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>The welfare of wild animal populations is critically important to conservation, with profound implications for ecosystem health, biodiversity, and zoonotic disease transmission. Animal welfare is typically defined as the accumulated affective mental state of an animal over a particular time period. However, the assessment of animal welfare in the wild poses unique challenges, primarily due to the lack of universally applicable biomarkers. This perspective explores the potential role of the gut microbiome, a dynamic and non-invasive biomarker, as a novel avenue for evaluating animal welfare in wild animals. The gut microbiome, through interactions with the host&#x2019;s physiology, behavior, and cognition, offers a promising opportunity to gain insights into the well-being of animals. In this synthesis, we discuss the distinction between fitness and welfare, the complexities of assessing welfare in wild populations, and the linkages between the gut microbiome and aspects of animal welfare such as behavior and cognition. We lastly elucidate how the gut microbiome could serve as a valuable tool for wildlife managers, with the potential to serve as a non-invasive yet informative window into the welfare of wild animals. As this nascent field evolves, it presents unique opportunities to enhance our understanding of the well-being of wild animals and to contribute to the preservation of ecosystems, biodiversity, and human health.</p>
</abstract>
<kwd-group>
<kwd>welfare</kwd>
<kwd>gut microbiome</kwd>
<kwd>ecology and behavior</kwd>
<kwd>stress</kwd>
<kwd>wildlife</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="89"/>
<page-count count="7"/>
<word-count count="6806"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Animal Behavior and Welfare</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Animal welfare is of paramount global importance, as it directly impacts biodiversity, ecosystem health, and the ethical treatment of animals (<xref ref-type="bibr" rid="ref1">1</xref>). Though the concept originated largely in captive and domestic contexts, researchers have recently noted that it is critical to consider the welfare of wild populations (<xref ref-type="bibr" rid="ref2">2</xref>). Measuring wild animal welfare, both of individuals and of populations, may give managers new insights into optimizing ecosystem function. Despite its significance, there remains a notable lack of reliable physiological biomarkers for accurately assessing animal welfare, particularly in wild populations (<xref ref-type="bibr" rid="ref3">3</xref>). Emerging research highlights the gut microbiome as a promising tool in this regard, given its profound influence on host physiology and behavior (<xref ref-type="bibr" rid="ref4">4</xref>&#x2013;<xref ref-type="bibr" rid="ref7">7</xref>).</p>
<p>In this perspective, we explore the intersection of the gut microbiome and animal welfare, first discussing animal welfare and its relationship to <italic>fitness.</italic> Then, examining current welfare assessment methods, the role of stress and behavior, and the potential of the gut microbiome to serve as a novel biomarker. Through a brief review of existing evidence, we aim to outline the potential of the gut microbiome as an important indicator of wild animal welfare, with the overarching goal of advancing our understanding of how this novel biomarker can be harnessed to promote the welfare and conservation of wild species. Additionally, we will confront the challenges and limitations inherent in this endeavor and propose directions for future research in this burgeoning field.</p>
</sec>
<sec id="sec2">
<title>Animal welfare</title>
<p>Animal welfare is as challenging to define as human welfare, because it ultimately hinges on the definition of subjective internal states. Nonetheless, there have been many rigorous attempts to make welfare a measurable empirical outcome. Animal welfare can be defined most broadly as a state in which an animal is &#x2018;fit and feeling good&#x2019; (<xref ref-type="bibr" rid="ref8">8</xref>). We define welfare here as the affective states experienced by an individual over a given time period (<xref ref-type="bibr" rid="ref3">3</xref>). While this is a highly subjective definition fundamentally inaccessible to outside observers, there are observable metrics of an animal&#x2019;s coping capacity measuring how an animal responds to perturbations (<xref ref-type="bibr" rid="ref9">9</xref>) that may help to triangulate this internal affective state. More specifically, the five domains model of animal welfare proposes that researchers assess nutritional, environmental, health, behavioral, and mental states of an animal to arrive at what might be called the welfare state of an individual (<xref ref-type="bibr" rid="ref1">1</xref>). Since its introduction in 1994, the five domains model has almost exclusively been applied in agricultural, veterinary, and zoo contexts (<xref ref-type="bibr" rid="ref10">10</xref>). Recently, interest has turned to applying models of welfare assessment to non-captive wild populations (<xref ref-type="bibr" rid="ref11">11</xref>). Understanding wild animal welfare may provide predictive insights into wild animal fitness, as is the definition of welfare.</p>
<sec id="sec3">
<title>Welfare vs. fitness</title>
<p>Ecologists and evolutionary biologists are most often concerned with fitness, here referring to an individual&#x2019;s ability to survive and reproduce (<xref ref-type="bibr" rid="ref12">12</xref>). Yet, understanding individual welfare may provide valuable insights into ecological stressors and challenges animals may face, which can directly impact their fitness. While fitness and welfare have sometimes been conflated, it is important to understand their relationship given that at times they may be positively correlated, but at others times, may not. For example, chronically elevated predation risk has been shown to reduce reproduction (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>) and also negatively impact animal welfare via physiological (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>), nutritional (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>), behavioral (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>), and mental states (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>) of wild animals. Conversely, there is a wealth of literature demonstrating that aspects of reproduction, like gestation and lactation, incur costs to the individual (<xref ref-type="bibr" rid="ref23">23</xref>) and that an increase in reproductive output is often correlated with a decrease in individual body condition (<xref ref-type="bibr" rid="ref24">24</xref>). In many cervids, for example, the association between female reproductive success and indices of body condition change seasonally, where poor body condition is associated with high reproductive output in the spring largely due to costs of lactation (<xref ref-type="bibr" rid="ref25">25</xref>), but is then associated with decreased survival through winter (<xref ref-type="bibr" rid="ref26">26</xref>). In cases of terminal investment, reproductive output may increase as a &#x2018;last-ditch&#x2019; effort near the end of an individual&#x2019;s life, despite decreases in body condition (<xref ref-type="bibr" rid="ref27">27</xref>). For example, Creighton et al. (<xref ref-type="bibr" rid="ref28">28</xref>) reared burying beetles (<italic>Nicrophorus orbicollis</italic>) on small vertebrate carcasses and found that older females allocated fewer resources to their own body condition and instead produced larger broods compared to younger females. In this case, a rough proxy of welfare (body condition) and fitness are inversely correlated. Thus, these relationships can be complicated and depend upon the timing of measurements. While at times there may be a disconnect between animal welfare and fitness, in understanding the relationship between the two an individual&#x2019;s welfare may provide a powerful predictive tool for wildlife biologists and managers enabling proactive management strategies.</p>
</sec>
</sec>
<sec id="sec4">
<title>Current assessment of welfare</title>
<p>Assessing animal welfare is a multidimensional and challenging task, further compounded by the dynamic complexity of wild populations (<xref ref-type="bibr" rid="ref29">29</xref>). It relates to the extent to which the animals&#x2019; needs and preferences are met, ensuring that they are free from unnecessary suffering and capable of expressing natural behaviors (<xref ref-type="bibr" rid="ref30">30</xref>). In the wild, assessing animal welfare presents unique challenges due to the stochastic nature of natural environments and the dynamic responses animals have to these challenges. Nonetheless, understanding and prioritizing animal welfare in wild populations is of paramount importance, as it not only relates to the ethical treatment of individual animals but also has broad-reaching consequences for biodiversity, ecosystem health, and the potential transmission of zoonotic diseases to humans (<xref ref-type="bibr" rid="ref31">31</xref>). The lack of consensus on objective welfare assessment methods for <italic>captive</italic> animals (<xref ref-type="bibr" rid="ref29">29</xref>) has long been a point of contention within the communities of both science and philosophy and this is even further exacerbated when evaluating animals in their more complex natural habitats (<xref ref-type="bibr" rid="ref32">32</xref>). Biologists concerned with wild animal welfare often turn to more simple behavioral and physiological biomarkers, such as stress hormones and their downstream metabolites, whose ease of sampling and interpretation are alluring in the face of such complexity (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>).</p>
<sec id="sec5">
<title>Behavior and welfare</title>
<p>Observing and interpreting the behavior of animals is a commonly employed method in welfare assessment, and is the 4th of the 5 domains of animal welfare conceptualized by Mellor et al. (<xref ref-type="bibr" rid="ref1">1</xref>). Behavioral indicators, such as activity levels, vocalizations, and aggression, can provide insights into the emotional and physical state of animals. However, these indicators are often context-dependent and may not be universally applicable to all species and situations (<xref ref-type="bibr" rid="ref35">35</xref>). Traditional methods of behavior assessment have been developed and refined in controlled environments, such as veterinary clinics, laboratories, zoos, and agricultural production (<xref ref-type="bibr" rid="ref10">10</xref>). These settings often employ well-established protocols for assessing behavior through observations, observer questionnaires, or structured experiments (<xref ref-type="bibr" rid="ref8">8</xref>). Commonly used metrics include activity levels, social interactions, vocalizations, and stereotypic behaviors (<xref ref-type="bibr" rid="ref36">36</xref>). In recent years, novel techniques have been developed to assess animal welfare through the observation of facial expressions, body postures, and other non-invasive indicators. The Grimace Scale, for example, is a standardized tool for evaluating pain and distress in mammals based on facial expressions (<xref ref-type="bibr" rid="ref37">37</xref>). While these approaches provide valuable insights into animal behavior in captivity, translating them to the wild can be challenging, as they may not encompass the full spectrum of behaviors exhibited in natural settings (<xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>Behavior assessment techniques tailored for wild animals are emerging as vital tools for welfare assessment. These include the use of personality tests, such as measuring boldness and exploration behaviors, which can offer insights into individual variation and stress responses in natural environments (<xref ref-type="bibr" rid="ref38">38</xref>). Behavioral ecology studies, involving the observation of foraging, mating, and predator avoidance behaviors, may also contribute to our understanding of the well-being of wild animals (<xref ref-type="bibr" rid="ref39">39</xref>). For example, Mell et al. (<xref ref-type="bibr" rid="ref40">40</xref>) found that personality was correlated with both metabolic expenditure and glucocorticoid stress response in common lizards. Researchers are also exploring ways to monitor behavior non-invasively through remote sensing technologies, including camera traps, acoustic recorders, and GPS tracking (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). These innovative tools enable the observation of animal behavior while minimizing human interference, making them particularly valuable for assessing welfare non-invasively and in remote or sensitive ecosystems. While promising, behavioral metrics will still require validation through other welfare-related metrics, such as stress physiology. Despite these potential advances, behavior remains only one aspect of the totality of an individual&#x2019;s welfare state, and linking external changes in behavior to internal changes in an animal&#x2019;s physiology is critical.</p>
</sec>
<sec id="sec6">
<title>Stress physiology and welfare</title>
<p>Stress, in particular the pathological results of being exposed to chronic stressors, is an essential component of welfare assessment, given its direct connection with the overall well-being of animals (<xref ref-type="bibr" rid="ref43">43</xref>). Stressors can manifest in various forms, including environmental changes, predation pressures, food scarcity, and interactions with conspecifics or other species. However, the duration and intensity of the stressor is critical to consider when potentially extrapolating stress metrics to welfare states. The stress response of vertebrates is highly conserved, and functions broadly to aid the organism in maintaining homeostasis in the face of a wide array of ecological challenges (<xref ref-type="bibr" rid="ref44">44</xref>). The hypothalamic pituitary adrenal (HPA) axis serves to regulate the secretion of key adrenal hormones, namely glucocorticoids, involved in maintaining this homeostasis. Due to the pleiotropic nature of HPA-associated hormones (<xref ref-type="bibr" rid="ref45">45</xref>) and their relative ease of sampling, they have been widely studied (<xref ref-type="bibr" rid="ref46">46</xref>). The most common glucocorticoid in mammals, cortisol, is a critical mediator of energy balance and has downstream effects on numerous cell types and physiological systems (<xref ref-type="bibr" rid="ref34">34</xref>). However, interpretations of stress hormone concentrations in the context of animal welfare are not always straightforward. Romero and Wikelski (<xref ref-type="bibr" rid="ref47">47</xref>), for example, found that marine iguanas (<italic>Amblyrynchus cristatus</italic>) exposed to tourism had <italic>lower</italic> glucocorticoid concentrations than more isolated animals. In the context of animal welfare, these results are difficult to interpret. It is equally possible that tourist-exposed iguanas are habituated, and are therefore in a more positive welfare state relative to undisturbed animals, <italic>or</italic> that tourist-exposed iguanas are displaying a degraded HPA response, and a more negative welfare state. It is also important to note that the glucocorticoid response is a non-specific response, triggered by a broad array of internal and external perturbations (<xref ref-type="bibr" rid="ref48">48</xref>). Thus, a clear understanding of the stressors involved and an individual&#x2019;s response to each is necessary for the appropriate use of stress hormones as an indicator of individual welfare. Beyond glucocorticoids, stress is commonly measured using a variety of peripheral downstream markers such as free fatty acids, glucose, neutrophil to lymphocyte ratio (<xref ref-type="bibr" rid="ref15">15</xref>), oxidative status (<xref ref-type="bibr" rid="ref49">49</xref>), and leucocyte coping capacity (<xref ref-type="bibr" rid="ref50">50</xref>). While many of these metrics involve invasive sampling methods (capturing the animal and drawing blood), some metabolites may be sampled non-invasively (e.g., from feces, hair, or saliva) (<xref ref-type="bibr" rid="ref34">34</xref>). However, while non-invasive sampling methods are beneficial from a cost and welfare perspective, they may be more difficult to interpret given the increased variability due to individual differences in metabolism, differing rates of degradation, and uncertainty of the temporal scale of integration (<xref ref-type="bibr" rid="ref51">51</xref>).Thus, validation is critical. Similar to behavioral assessments of welfare, linking changes in stress-related metrics to other physiological changes, such as the gut microbiome, may provide a more holistic understanding of an individual&#x2019;s welfare.</p>
</sec>
</sec>
<sec id="sec7">
<title>The gut microbiome</title>
<p>The microbiome refers collectively to the assemblage of microorganisms (bacteria, archaea, virus, fungi, protozoans, etc.) that colonizes various regions of an organism (<xref ref-type="bibr" rid="ref52">52</xref>), and whose cells may outnumber host cells by an order of magnitude (<xref ref-type="bibr" rid="ref53">53</xref>). Usage of the term microbiome is also commonly extended to include the broad array of metabolites and structural molecules (proteins, lipids, etc.) produced by microbial communities, many of which have direct effects on the host, such as impacts on the immune system (<xref ref-type="bibr" rid="ref54">54</xref>), digestion (<xref ref-type="bibr" rid="ref55">55</xref>), development (<xref ref-type="bibr" rid="ref56">56</xref>, <xref ref-type="bibr" rid="ref57">57</xref>) and even behavior (<xref ref-type="bibr" rid="ref58">58</xref>). These phenotypic changes in the host may then feedback to have an effect on the microbiome (<xref ref-type="bibr" rid="ref59">59</xref>). While &#x201C;microbiome&#x201D; and &#x201C;microbiota&#x201D; are frequently used interchangeably, only &#x201C;microbiota&#x201D; refers to the community of microorganisms (independent of the host environment and genetic or metabolic biproducts). However, for the purpose of this article, we will follow convention, and simply use &#x201C;microbiome&#x201D; when referring to the microbial community.</p>
<p>The microbiome represents a highly dynamic system, associated with host physiology and behavior, and is critical to understanding changes in host fitness (<xref ref-type="bibr" rid="ref60">60</xref>). Recent literature has focused primarily on the gut microbiome, as this region has perhaps the most direct interface with the host (<xref ref-type="bibr" rid="ref61">61</xref>). Typically, the microbiome is characterized by taking a genetic inventory through extracting microbial genetic material from fecal samples or gut biopsies, and amplifying and sequencing a taxonomic marker gene. Typically, the 16&#x2009;s RNA gene is used for bacteria and archaea. Bioinformatic methods can then be applied to infer the <italic>relative</italic> abundances of operational taxonomic units (OTUs) within the complex microbial community. Absolute abundances of microbial groups (&#x2018;microbial load&#x2019;), however, can vary markedly across individuals (<xref ref-type="bibr" rid="ref52">52</xref>). An approach known as quantitative microbiome profiling (QMP) accounts for the potential variation in individual microbial load and may yield different answers than the standard proportional approach (<xref ref-type="bibr" rid="ref62">62</xref>). Lastly, additional functional analyses such as metagenome sequencing (<xref ref-type="bibr" rid="ref63">63</xref>) and metabolomic analysis (<xref ref-type="bibr" rid="ref64">64</xref>) have the potential to provide direct mechanistic insight into the broad array of metabolites which may modulate host physiology and behavior.</p>
<sec id="sec8">
<title>The microbiome as a possible tool for welfare assessment in the wild</title>
<p>In recent years, there has been a burgeoning interest in investigating the gut microbiome&#x2019;s potential as a novel biomarker for assessing the welfare of animals (<xref ref-type="bibr" rid="ref7">7</xref>). Aspects of the gut microbiome and its interaction with the host may serve as a reflection of an animal&#x2019;s health, stress levels, and emotional states (<xref ref-type="bibr" rid="ref65">65</xref>). For example, Kraimi et al. (<xref ref-type="bibr" rid="ref66">66</xref>) showed that germ-free Japanese quails (<italic>Coturnix japonica</italic>) displayed decreased emotional reactivity across a range of tests including tonic immobility and novel-object recognition. Applied to wild populations, the intersection of the gut microbiome with animal welfare opens the door to a promising avenue of research with implications for conservation, wildlife management, and the broader field of ecology. In addition to its profound effects on the physiology and behavior of its host, the gut microbiome is a primary candidate to measure animal welfare given its ability to be sampled via fecal collection. One of the major challenges in measuring welfare in wild animals is to ensure the measurements themselves do not reduce welfare, and as such, the use of a non-invasive method is preferred. Thus, the gut microbiome has the potential to serve as a non-invasive yet informative window into the welfare of wild animals (<xref ref-type="bibr" rid="ref67">67</xref>, <xref ref-type="bibr" rid="ref68">68</xref>).</p>
</sec>
<sec id="sec9">
<title>The gut microbiome and individual physiology and behavior</title>
<p>The gut microbiome holds promise as an estimator of individual welfare given it is in constant dialogue with many aspects of host physiology, including energy metabolism (<xref ref-type="bibr" rid="ref69">69</xref>), thermal regulation (<xref ref-type="bibr" rid="ref70">70</xref>), fat deposition (<xref ref-type="bibr" rid="ref71">71</xref>), immune function (<xref ref-type="bibr" rid="ref72">72</xref>), and endocrine regulation [reviewed in Williams et al. (<xref ref-type="bibr" rid="ref73">73</xref>)], and its influence on host behavior (<xref ref-type="bibr" rid="ref74">74</xref>, <xref ref-type="bibr" rid="ref75">75</xref>). A primary pathway through which behavior is affected, both directly and indirectly, is via the central nervous system of vertebrates in what has become known as the &#x2018;gut-brain axis&#x2019; (<xref ref-type="bibr" rid="ref4">4</xref>). For example, in a landmark study Sudo et al. (<xref ref-type="bibr" rid="ref76">76</xref>) demonstrated the importance of the gut microbiome in the development of a functional stress response in lab mice. They found that germ-free mice exhibited hyper-sensitive stress responses, elevated levels of corticotropin-releasing factor (CRF) mRNA in the hypothalamus, and decreased expression of brain-derived neurotrophic factor (BDNF) in the cortex and hypothalamus. These effects were reversed when mice were re-colonized with a fecal transplant from a normal donor. In another welfare-related study, adult zebrafish supplemented with <italic>Lactobacillus plantarum</italic> displayed attenuated anxiety-related behaviors and altered serotonergic and GABAnergic signaling pathways in the brain. Given that many behaviors influenced by the microbiome in laboratory systems are critical for the well-being and adaptive success of wild populations (<xref ref-type="bibr" rid="ref59">59</xref>, <xref ref-type="bibr" rid="ref77">77</xref>), the microbiome is likely to play a significant role in wild animal welfare. Despite its centrality to the physiology of welfare states, there have been few ecological studies specifically investigating the gut-brain axis in relation to the welfare of wild animals. Taken together, the gut microbiome has clear associations with the physiology and behavior of the individual, making it a potential bridge between environmental stressors, the physiological and behavioral responses of the individual, and the expression of welfare-related states. It is critical, however, to validate the links between welfare states and aspects of the gut microbiome before using it as a metric to assess the welfare of wild animals or populations (<xref ref-type="bibr" rid="ref78">78</xref>). An important caveat when considering the usage of the gut microbiome as a welfare biomarker is that the relationship between the microbiome and welfare states is bidirectional, with microbiome changes potentially both influencing and reflecting welfare states. The directionality of this relationship is likely to be dependent on the time over which aggregate welfare is being measured, and the specific changes in microbial composition. This complexity underscores the need for further research into the dynamics of state-behavior feedback loops (<xref ref-type="bibr" rid="ref79">79</xref>) as they relate to gut microbial communities.</p>
</sec>
<sec id="sec10">
<title>Implications for the management of populations</title>
<p>Assessment of the gut microbiome holds significant promise for wildlife managers who are tasked with monitoring and conserving biodiversity, given its relationship with individual welfare and links to reproductive success. For example, stressor-induced alterations in the gut microbiome (<xref ref-type="bibr" rid="ref80">80</xref>, <xref ref-type="bibr" rid="ref81">81</xref>) can reduce an animal&#x2019;s reproductive success (<xref ref-type="bibr" rid="ref82">82</xref>). Conversely, it has been shown that the administration of a probiotic can increase ovarian function and oocyte maturation (<xref ref-type="bibr" rid="ref56">56</xref>). In addition to its role in physiological and behavioral changes, the gut microbiome&#x2019;s role in modulating immunity and health can also have implications for the reproductive success of individuals (<xref ref-type="bibr" rid="ref73">73</xref>). Thus, by monitoring the gut microbiome, wildlife managers can gain valuable insights into the overall health and stress levels of animals, and potential for reproductive fitness. This information can inform conservation strategies, allowing for the timely identification of populations at risk and the implementation of targeted interventions to mitigate threats (<xref ref-type="bibr" rid="ref83">83</xref>). While current research on the microbiome is insufficient to support its immediate implementation as a management tool, ongoing studies may illuminate its potential. Wildlife managers could eventually employ non-invasive microbiome assessments to monitor health and stress in populations, helping to identify at-risk populations and guide conservation strategies.</p>
<p>Conclusion and future directions</p>
<p>While the potential role of the gut microbiome as an indicator of animal welfare in wild populations presents exciting prospects, it also underscores the need for further research and exploration into the complex relationships between aspects of welfare and changes to host microbial communities in wild animals. Here, we outline several key avenues for future research:</p>
<list list-type="order">
<list-item><p>Species-Specific Considerations: The gut microbiome is highly variable across different animal species (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref84">84</xref>, <xref ref-type="bibr" rid="ref85">85</xref>). Future research should focus on characterizing the gut microbiomes of a wide range of wild species and explore how species-specific differences in microbiota composition and function relate to their welfare. Such research could unveil unique biomarkers for various taxa and ecosystems.</p></list-item>
<list-item><p>Ecological Context: Wild animals exist within complex ecosystems, and their well-being is intricately linked to the health of these systems. Future research should consider how environmental factors, including habitat quality, food availability, and predation pressure, interact with the gut microbiome and impact animal welfare. Understanding these ecological dynamics is critical for effective conservation efforts.</p></list-item>
<list-item><p>Temporal Dynamics: Long-term studies are essential to uncover the temporal dynamics of the gut microbiome and its associations with animal welfare (<xref ref-type="bibr" rid="ref86">86</xref>). Investigating how microbiota composition and function change over seasons, years, or across different life stages can provide valuable insights into the flexibility and adaptability of this biomarker (<xref ref-type="bibr" rid="ref87">87</xref>).</p></list-item>
<list-item><p>Integration of Multi-Omics Approaches: The gut microbiome is just one piece of the puzzle. Combining metagenomic, metatranscriptomic, and metabolomic approaches can provide a holistic view of the gut microbiome&#x2019;s functional capacity and its interactions with the host (<xref ref-type="bibr" rid="ref88">88</xref>). This integrative approach can offer a more comprehensive understanding of how the gut microbiome influences animal welfare.</p></list-item>
<list-item><p>Non-Invasive Monitoring Techniques and Validation: Developing and refining non-invasive techniques for monitoring the gut microbiome in the wild is crucial. Remote sampling methods like fecal collection should be optimized and validated for use across diverse ecosystems and species, ensuring minimal disturbance to the animals. To establish the gut microbiome as a reliable welfare indicator, its associations with stress, behavior, and health must be rigorously validated in various wild species. These associations should be quantified and tested across different contexts and environmental conditions. Additionally, researchers should take into account rates of sample degradation that may depend on age of sample, weather conditions, and temperature.</p></list-item>
<list-item><p>Comparative Studies: Comparative studies between captive and wild populations can provide insights into the impact of captivity on the gut microbiome and welfare. Understanding how captive and wild environments influence the gut microbiome and related welfare indicators is essential for managing captive populations and for assessing the welfare of released animals. Additionally, &#x201C;healthy&#x201D; microbiomes are likely to be context specific. An enterotype correlated to positive welfare states in the lab may not correspond to positive welfare states in wild environments.</p></list-item>
<list-item><p>Conservation Applications: The translation of gut microbiome research into practical conservation applications is an important frontier. Identifying early warning signs of population decline or health threats using the gut microbiome can facilitate timely intervention and targeted conservation efforts.</p></list-item>
</list>
<p>The well-being of animals in their natural habitats bears substantial significance, extending beyond individual animals to encompass broader consequences for ecosystem health, biodiversity, and the potential transmission of zoonotic diseases to humans. However, assessing animal welfare in the wild is a challenge marked by the lack of universally applicable biomarkers, emphasizing the need for innovative approaches. The gut microbiome, with its dynamic role in mediating stress, behavior, and health, and its relationship to fitness has emerged as a promising candidate for addressing this gap. By providing insights into the physiology and behavior of animals without invasive sampling, it offers a window into their physical and emotional states. In light of the multifaceted relationships between the gut microbiome, stress, and behavior, the potential to employ this biomarker for the welfare assessment of wild populations holds vast promise. Moreover, conservation biology is undergoing a paradigm shift towards wildlife management that proactively prevents chronic stress and mitigates welfare-related issues (<xref ref-type="bibr" rid="ref89">89</xref>). In this holistic perspective, the gut microbiome becomes a valuable tool for advancing our understanding of animal welfare in the wild and enhancing wildlife management strategies. As the field continues to evolve, both conservation and animal welfare scientists should collaborate to facilitate a more rigorous understanding of what constitutes a healthy ecosystem.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec11">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="sec12">
<title>Author contributions</title>
<p>SS: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MS: Conceptualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec13">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. We thank the Wild Animal Initiative for funding and support.</p>
</sec>
<sec sec-type="COI-statement" id="sec14">
<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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="disclaimer" id="sec15">
<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>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mellor</surname> <given-names>DJ</given-names></name> <name><surname>Beausoleil</surname> <given-names>NJ</given-names></name> <name><surname>Littlewood</surname> <given-names>KE</given-names></name> <name><surname>McLean</surname> <given-names>AN</given-names></name> <name><surname>McGreevy</surname> <given-names>PD</given-names></name> <name><surname>Jones</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Five domains model: including human&#x2013;animal interactions in assessments of animal welfare</article-title>. <source>Animals</source>. (<year>2020</year>) <volume>10</volume>:<fpage>1870</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ani10101870</pub-id>, PMID: <pub-id pub-id-type="pmid">33066335</pub-id></citation>
</ref>
<ref id="ref2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Hecht</surname> <given-names>L</given-names></name>
</person-group>. <article-title>The importance of considering age when quantifying wild animals&#x2019; welfare</article-title>. <source>Biol Rev</source>. (<year>2021</year>) <volume>96</volume>:<fpage>2602</fpage>&#x2013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.1111/brv.12769</pub-id>, PMID: <pub-id pub-id-type="pmid">34155749</pub-id></citation>
</ref>
<ref id="ref3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Beaulieu</surname> <given-names>M</given-names></name>
</person-group>. <article-title>Capturing wild animal welfare: a physiological perspective</article-title>. <source>Biol Rev</source>. (<year>2024</year>) <volume>99</volume>:<fpage>1</fpage>&#x2013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1111/brv.13009</pub-id>, PMID: <pub-id pub-id-type="pmid">37635128</pub-id></citation>
</ref>
<ref id="ref4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Foster</surname> <given-names>JA</given-names></name> <name><surname>McVey Neufeld</surname> <given-names>K-A</given-names></name></person-group>. <article-title>Gut&#x2013;brain axis: how the microbiome influences anxiety and depression</article-title>. <source>Trends Neurosci</source>. (<year>2013</year>) <volume>36</volume>:<fpage>305</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tins.2013.01.005</pub-id></citation>
</ref>
<ref id="ref5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Davidson</surname> <given-names>GL</given-names></name> <name><surname>Cooke</surname> <given-names>AC</given-names></name> <name><surname>Johnson</surname> <given-names>CN</given-names></name> <name><surname>Quinn</surname> <given-names>JL</given-names></name></person-group>. <article-title>The gut microbiome as a driver of individual variation in cognition and functional behaviour</article-title>. <source>Philos Trans R Soc B Biol Sci</source>. (<year>2018</year>) <volume>373</volume>:<fpage>20170286</fpage>. doi: <pub-id pub-id-type="doi">10.1098/rstb.2017.0286</pub-id>, PMID: <pub-id pub-id-type="pmid">30104431</pub-id></citation>
</ref>
<ref id="ref6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lynch</surname> <given-names>JB</given-names></name> <name><surname>Hsiao</surname> <given-names>EY</given-names></name></person-group>. <article-title>Microbiomes as sources of emergent host phenotypes</article-title>. <source>Science</source>. (<year>2019</year>) <volume>365</volume>:<fpage>1405</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.aay0240</pub-id>, PMID: <pub-id pub-id-type="pmid">31604267</pub-id></citation>
</ref>
<ref id="ref7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kraimi</surname> <given-names>N</given-names></name> <name><surname>Dawkins</surname> <given-names>M</given-names></name> <name><surname>Gebhardt-Henrich</surname> <given-names>SG</given-names></name> <name><surname>Velge</surname> <given-names>P</given-names></name> <name><surname>Rychlik</surname> <given-names>I</given-names></name> <name><surname>Volf</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Influence of the microbiota-gut-brain axis on behavior and welfare in farm animals: a review</article-title>. <source>Physiol Behav</source>. (<year>2019</year>) <volume>210</volume>:<fpage>112658</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.physbeh.2019.112658</pub-id>, PMID: <pub-id pub-id-type="pmid">31430443</pub-id></citation>
</ref>
<ref id="ref8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Dawkins</surname> <given-names>M</given-names></name>
</person-group>. <article-title>A user&#x2019;s guide to animal welfare science</article-title>. <source>Trends Ecol Evol</source>. (<year>2006</year>) <volume>21</volume>:<fpage>77</fpage>&#x2013;<lpage>82</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tree.2005.10.017</pub-id>, PMID: <pub-id pub-id-type="pmid">16701478</pub-id></citation>
</ref>
<ref id="ref9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Koolhaas</surname> <given-names>JM</given-names></name> <name><surname>Korte</surname> <given-names>SM</given-names></name> <name><surname>De Boer</surname> <given-names>SF</given-names></name> <name><surname>Van Der Vegt</surname> <given-names>BJ</given-names></name> <name><surname>Van Reenen</surname> <given-names>CG</given-names></name> <name><surname>Hopster</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Coping styles in animals: current status in behavior and stress-physiology</article-title>. <source>Neurosci Biobehav Rev</source>. (<year>1999</year>) <volume>23</volume>:<fpage>925</fpage>&#x2013;<lpage>35</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0149-7634(99)00026-3</pub-id>, PMID: <pub-id pub-id-type="pmid">10580307</pub-id></citation>
</ref>
<ref id="ref10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fraser</surname> <given-names>D</given-names></name> <name><surname>Duncan</surname> <given-names>IJH</given-names></name> <name><surname>Edwards</surname> <given-names>SA</given-names></name> <name><surname>Grandin</surname> <given-names>T</given-names></name> <name><surname>Gregory</surname> <given-names>NG</given-names></name> <name><surname>Guyonnet</surname> <given-names>V</given-names></name> <etal/></person-group>. <article-title>General principles for the welfare of animals in production systems: the underlying science and its application</article-title>. <source>Vet J</source>. (<year>2013</year>) <volume>198</volume>:<fpage>19</fpage>&#x2013;<lpage>27</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tvjl.2013.06.028</pub-id>, PMID: <pub-id pub-id-type="pmid">23899406</pub-id></citation>
</ref>
<ref id="ref11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Harvey</surname> <given-names>AM</given-names></name> <name><surname>Beausoleil</surname> <given-names>NJ</given-names></name> <name><surname>Ramp</surname> <given-names>D</given-names></name> <name><surname>Mellor</surname> <given-names>DJ</given-names></name></person-group>. <article-title>A ten-stage protocol for assessing the welfare of individual non-captive wild animals: free-roaming horses (<italic>Equus Ferus Caballus</italic>) as an example</article-title>. <source>Animals</source>. (<year>2020</year>) <volume>10</volume>:<fpage>148</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ani10010148</pub-id>, PMID: <pub-id pub-id-type="pmid">31963232</pub-id></citation>
</ref>
<ref id="ref12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Roff</surname> <given-names>DA</given-names></name> <name><surname>Fairbairn</surname> <given-names>DJ</given-names></name></person-group>. <article-title>The evolution of trade-offs: where are we?</article-title> <source>J Evol Biol</source>. (<year>2007</year>) <volume>20</volume>:<fpage>433</fpage>&#x2013;<lpage>47</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1420-9101.2006.01255.x</pub-id></citation>
</ref>
<ref id="ref13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sheriff</surname> <given-names>MJ</given-names></name> <name><surname>Krebs</surname> <given-names>CJ</given-names></name> <name><surname>Boonstra</surname> <given-names>R</given-names></name></person-group>. <article-title>The sensitive hare: sublethal effects of predator stress on reproduction in snowshoe hares</article-title>. <source>J Anim Ecol</source>. (<year>2009</year>) <volume>78</volume>:<fpage>1249</fpage>&#x2013;<lpage>58</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1365-2656.2009.01552.x</pub-id>, PMID: <pub-id pub-id-type="pmid">19426257</pub-id></citation>
</ref>
<ref id="ref14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zanette</surname> <given-names>LY</given-names></name> <name><surname>White</surname> <given-names>AF</given-names></name> <name><surname>Allen</surname> <given-names>MC</given-names></name> <name><surname>Clinchy</surname> <given-names>M</given-names></name></person-group>. <article-title>Perceived predation risk reduces the number of offspring songbirds produce per year</article-title>. <source>Science</source>. (<year>2011</year>) <volume>334</volume>:<fpage>1398</fpage>&#x2013;<lpage>401</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1210908</pub-id>, PMID: <pub-id pub-id-type="pmid">22158817</pub-id></citation>
</ref>
<ref id="ref15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Boonstra</surname> <given-names>R</given-names></name> <name><surname>Hik</surname> <given-names>D</given-names></name> <name><surname>Singleton</surname> <given-names>GR</given-names></name> <name><surname>Tinnikov</surname> <given-names>A</given-names></name></person-group>. <article-title>The impact of predator-induced stress on the snowshoe hare cycle</article-title>. <source>Ecol Monogr</source>. (<year>1998</year>) <volume>68</volume>:<fpage>371</fpage>&#x2013;<lpage>94</lpage>. doi: <pub-id pub-id-type="doi">10.1890/0012-9615(1998)068[0371,TIOPIS]2.0.CO;2</pub-id></citation>
</ref>
<ref id="ref16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Creel</surname> <given-names>S</given-names></name> <name><surname>Winnie</surname> <given-names>JA</given-names></name> <name><surname>Christianson</surname> <given-names>D</given-names></name></person-group>. <article-title>Glucocorticoid stress hormones and the effect of predation risk on elk reproduction</article-title>. <source>Proc Natl Acad Sci USA</source>. (<year>2009</year>) <volume>106</volume>:<fpage>12388</fpage>&#x2013;<lpage>93</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.0902235106</pub-id>, PMID: <pub-id pub-id-type="pmid">19617549</pub-id></citation>
</ref>
<ref id="ref17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Peckarsky</surname> <given-names>BL</given-names></name> <name><surname>Cowan</surname> <given-names>CA</given-names></name> <name><surname>Penton</surname> <given-names>MA</given-names></name> <name><surname>Anderson</surname> <given-names>C</given-names></name></person-group>. <article-title>Sublethal consequences of stream-dwelling predatory stoneflies on mayfly growth and fecundity</article-title>. <source>Ecology</source>. (<year>1993</year>) <volume>74</volume>:<fpage>1836</fpage>&#x2013;<lpage>46</lpage>. doi: <pub-id pub-id-type="doi">10.2307/1939941</pub-id></citation>
</ref>
<ref id="ref18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barnier</surname> <given-names>F</given-names></name> <name><surname>Valeix</surname> <given-names>M</given-names></name> <name><surname>Duncan</surname> <given-names>P</given-names></name> <name><surname>Chamaill&#x00E9;-Jammes</surname> <given-names>S</given-names></name> <name><surname>Barre</surname> <given-names>P</given-names></name> <name><surname>Loveridge</surname> <given-names>AJ</given-names></name> <etal/></person-group>. <article-title>Diet quality in a wild grazer declines under the threat of an ambush predator</article-title>. <source>Proc R Soc B Biol Sci</source>. (<year>2014</year>) <volume>281</volume>:<fpage>20140446</fpage>. doi: <pub-id pub-id-type="doi">10.1098/rspb.2014.0446</pub-id>, PMID: <pub-id pub-id-type="pmid">24789903</pub-id></citation>
</ref>
<ref id="ref19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Werner</surname> <given-names>EE</given-names></name> <name><surname>Gilliam</surname> <given-names>JF</given-names></name> <name><surname>Hall</surname> <given-names>DJ</given-names></name> <name><surname>Mittelbach</surname> <given-names>GG</given-names></name></person-group>. <article-title>An experimental test of the effects of predation risk on habitat use in fish</article-title>. <source>Ecology</source>. (<year>1983</year>) <volume>64</volume>:<fpage>1540</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.2307/1937508</pub-id></citation>
</ref>
<ref id="ref20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dr&#x00F6;ge</surname> <given-names>E</given-names></name> <name><surname>Creel</surname> <given-names>S</given-names></name> <name><surname>Becker</surname> <given-names>MS</given-names></name> <name><surname>M&#x2019;soka</surname> <given-names>J</given-names></name></person-group>. <article-title>Risky times and risky places interact to affect prey behaviour</article-title>. <source>Nat Ecol Evol</source>. (<year>2017</year>) <volume>1</volume>:<fpage>1123</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41559-017-0220-9</pub-id>, PMID: <pub-id pub-id-type="pmid">29046564</pub-id></citation>
</ref>
<ref id="ref21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Campeau</surname> <given-names>S</given-names></name> <name><surname>Nyhuis</surname> <given-names>TJ</given-names></name> <name><surname>Sasse</surname> <given-names>SK</given-names></name> <name><surname>Day</surname> <given-names>HEW</given-names></name> <name><surname>Masini</surname> <given-names>CV</given-names></name></person-group>. <article-title>Acute and chronic effects of ferret odor exposure in Sprague&#x2013;Dawley rats</article-title>. <source>Neurosci Biobehav Rev</source>. (<year>2008</year>) <volume>32</volume>:<fpage>1277</fpage>&#x2013;<lpage>86</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neubiorev.2008.05.014</pub-id>, PMID: <pub-id pub-id-type="pmid">18573530</pub-id></citation>
</ref>
<ref id="ref22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Clinchy</surname> <given-names>M</given-names></name> <name><surname>Schulkin</surname> <given-names>J</given-names></name> <name><surname>Zanette</surname> <given-names>LY</given-names></name> <name><surname>Sheriff</surname> <given-names>MJ</given-names></name> <name><surname>McGowan</surname> <given-names>PO</given-names></name> <name><surname>Boonstra</surname> <given-names>R</given-names></name></person-group>. <article-title>The neurological ecology of fear: insights neuroscientists and ecologists have to offer one another</article-title>. <source>Front. Behav Neurosci</source>. (<year>2011</year>) <volume>4</volume>:<fpage>21</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnbeh.2011.00021</pub-id>, PMID: <pub-id pub-id-type="pmid">21629856</pub-id></citation>
</ref>
<ref id="ref23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Clutton-Brock</surname> <given-names>TH</given-names></name> <name><surname>Albon</surname> <given-names>SD</given-names></name> <name><surname>Guinness</surname> <given-names>FE</given-names></name></person-group>. <article-title>Fitness costs of gestation and lactation in wild mammals</article-title>. <source>Nature</source>. (<year>1989</year>) <volume>337</volume>:<fpage>260</fpage>&#x2013;<lpage>2</lpage>. doi: <pub-id pub-id-type="doi">10.1038/337260a0</pub-id>, PMID: <pub-id pub-id-type="pmid">2911365</pub-id></citation>
</ref>
<ref id="ref24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wilder</surname> <given-names>SM</given-names></name> <name><surname>Raubenheimer</surname> <given-names>D</given-names></name> <name><surname>Simpson</surname> <given-names>SJ</given-names></name></person-group>. <article-title>Moving beyond body condition indices as an estimate of fitness in ecological and evolutionary studies</article-title>. <source>Funct Ecol</source>. (<year>2016</year>) <volume>30</volume>:<fpage>108</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.1111/1365-2435.12460</pub-id></citation>
</ref>
<ref id="ref25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cothran</surname> <given-names>EG</given-names></name> <name><surname>Chesser</surname> <given-names>RK</given-names></name> <name><surname>Smith</surname> <given-names>MH</given-names></name> <name><surname>Johns</surname> <given-names>PE</given-names></name></person-group>. <article-title>Fat levels in female White-tailed deer during the breeding season and pregnancy</article-title>. <source>J Mammal</source>. (<year>1987</year>) <volume>68</volume>:<fpage>111</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.2307/1381053</pub-id></citation>
</ref>
<ref id="ref26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moyes</surname> <given-names>K</given-names></name> <name><surname>Coulson</surname> <given-names>T</given-names></name> <name><surname>Morgan</surname> <given-names>BJT</given-names></name> <name><surname>Donald</surname> <given-names>A</given-names></name> <name><surname>Morris</surname> <given-names>SJ</given-names></name> <name><surname>Clutton-Brock</surname> <given-names>TH</given-names></name></person-group>. <article-title>Cumulative reproduction and survival costs in female red deer</article-title>. <source>Oikos</source>. (<year>2006</year>) <volume>115</volume>:<fpage>241</fpage>&#x2013;<lpage>52</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.2006.0030-1299.15200.x</pub-id></citation>
</ref>
<ref id="ref27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Williams</surname> <given-names>GC</given-names></name>
</person-group>. <article-title>Natural selection, the costs of reproduction, and a refinement of Lack&#x2019;s principle</article-title>. <source>Am Nat</source>. (<year>1966</year>) <volume>100</volume>:<fpage>687</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.1086/282461</pub-id></citation>
</ref>
<ref id="ref28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Creighton</surname> <given-names>JC</given-names></name> <name><surname>Heflin</surname> <given-names>ND</given-names></name> <name><surname>Belk</surname> <given-names>MC</given-names></name></person-group>. <article-title>Cost of reproduction, resource quality, and terminal Investment in a Burying Beetle</article-title>. <source>Am Nat</source>. (<year>2009</year>) <volume>174</volume>:<fpage>673</fpage>&#x2013;<lpage>84</lpage>. doi: <pub-id pub-id-type="doi">10.1086/605963</pub-id>, PMID: <pub-id pub-id-type="pmid">19775240</pub-id></citation>
</ref>
<ref id="ref29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Fraser</surname> <given-names>D</given-names></name>
</person-group>. <article-title>Assessing animal welfare: different philosophies, different scientific approaches</article-title>. <source>Zoo Biol</source>. (<year>2009</year>) <volume>28</volume>:<fpage>507</fpage>&#x2013;<lpage>18</lpage>. doi: <pub-id pub-id-type="doi">10.1002/zoo.20253</pub-id>, PMID: <pub-id pub-id-type="pmid">19434682</pub-id></citation>
</ref>
<ref id="ref30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Broom</surname> <given-names>DM</given-names></name>
</person-group>. <article-title>Indicators of poor welfare</article-title>. <source>Br Vet J</source>. (<year>1986</year>) <volume>142</volume>:<fpage>524</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1016/0007-1935(86)90109-0</pub-id></citation>
</ref>
<ref id="ref31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Beausoleil</surname> <given-names>NJ</given-names></name> <name><surname>Mellor</surname> <given-names>DJ</given-names></name></person-group>. <article-title>Advantages and limitations of the five domains model for assessing welfare impacts associated with vertebrate pest control</article-title>. <source>N Z Vet J</source>. (<year>2015</year>) <volume>63</volume>:<fpage>37</fpage>&#x2013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.1080/00480169.2014.956832</pub-id>, PMID: <pub-id pub-id-type="pmid">25147947</pub-id></citation>
</ref>
<ref id="ref32">
<label>32.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Mason</surname> <given-names>GJ</given-names></name>
</person-group>. <article-title>Species differences in responses to captivity: stress, welfare and the comparative method</article-title>. <source>Trends Ecol Evol</source>. (<year>2010</year>) <volume>25</volume>:<fpage>713</fpage>&#x2013;<lpage>21</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tree.2010.08.011</pub-id>, PMID: <pub-id pub-id-type="pmid">20952089</pub-id></citation>
</ref>
<ref id="ref33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sheriff</surname> <given-names>MJ</given-names></name> <name><surname>Krebs</surname> <given-names>CJ</given-names></name> <name><surname>Boonstra</surname> <given-names>R</given-names></name></person-group>. <article-title>From process to pattern: how fluctuating predation risk impacts the stress axis of snowshoe hares during the 10-year cycle</article-title>. <source>Oecologia</source>. (<year>2011</year>) <volume>166</volume>:<fpage>593</fpage>&#x2013;<lpage>605</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00442-011-1907-2</pub-id>, PMID: <pub-id pub-id-type="pmid">21246218</pub-id></citation>
</ref>
<ref id="ref34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dantzer</surname> <given-names>B</given-names></name> <name><surname>Fletcher</surname> <given-names>QE</given-names></name> <name><surname>Boonstra</surname> <given-names>R</given-names></name> <name><surname>Sheriff</surname> <given-names>MJ</given-names></name></person-group>. <article-title>Measures of physiological stress: a transparent or opaque window into the status, management and conservation of species?</article-title> <source>Conserv Physiol</source>. (<year>2014</year>) <volume>2</volume>:<fpage>cou023</fpage>. doi: <pub-id pub-id-type="doi">10.1093/conphys/cou023</pub-id>, PMID: <pub-id pub-id-type="pmid">27293644</pub-id></citation>
</ref>
<ref id="ref35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Dawkins</surname> <given-names>MS</given-names></name>
</person-group>. <article-title>Behaviour as a tool in the assessment of animal welfare1</article-title>. <source>Zoology</source>. (<year>2003</year>) <volume>106</volume>:<fpage>383</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1078/0944-2006-00122</pub-id></citation>
</ref>
<ref id="ref36">
<label>36.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mason</surname> <given-names>GJ</given-names></name> <name><surname>Latham</surname> <given-names>NR</given-names></name></person-group>. <article-title>Can&#x2019;t stop, won&#x2019;t stop: is stereotypy a reliable animal welfare indicator?</article-title> <source>Anim Welf</source>. (<year>2004</year>) <volume>13</volume>:<fpage>S57</fpage>&#x2013;<lpage>69</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S096272860001438X</pub-id></citation>
</ref>
<ref id="ref37">
<label>37.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Langford</surname> <given-names>DJ</given-names></name> <name><surname>Bailey</surname> <given-names>AL</given-names></name> <name><surname>Chanda</surname> <given-names>ML</given-names></name> <name><surname>Clarke</surname> <given-names>SE</given-names></name> <name><surname>Drummond</surname> <given-names>TE</given-names></name> <name><surname>Echols</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Coding of facial expressions of pain in the laboratory mouse</article-title>. <source>Nat Methods</source>. (<year>2010</year>) <volume>7</volume>:<fpage>447</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nmeth.1455</pub-id>, PMID: <pub-id pub-id-type="pmid">20453868</pub-id></citation>
</ref>
<ref id="ref38">
<label>38.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>R&#x00E9;ale</surname> <given-names>D</given-names></name> <name><surname>Garant</surname> <given-names>D</given-names></name> <name><surname>Humphries</surname> <given-names>MM</given-names></name> <name><surname>Bergeron</surname> <given-names>P</given-names></name> <name><surname>Careau</surname> <given-names>V</given-names></name> <name><surname>Montiglio</surname> <given-names>P-O</given-names></name></person-group>. <article-title>Personality and the emergence of the pace-of-life syndrome concept at the population level</article-title>. <source>Philos Transac R Soc B Biol Sci</source>. (<year>2010</year>) <volume>365</volume>:<fpage>4051</fpage>&#x2013;<lpage>63</lpage>. doi: <pub-id pub-id-type="doi">10.1098/rstb.2010.0208</pub-id>, PMID: <pub-id pub-id-type="pmid">21078657</pub-id></citation>
</ref>
<ref id="ref39">
<label>39.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sih</surname> <given-names>A</given-names></name> <name><surname>Bell</surname> <given-names>A</given-names></name> <name><surname>Johnson</surname> <given-names>JC</given-names></name></person-group>. <article-title>Behavioral syndromes: an ecological and evolutionary overview</article-title>. <source>Trends Ecol Evol</source>. (<year>2004</year>) <volume>19</volume>:<fpage>372</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tree.2004.04.009</pub-id>, PMID: <pub-id pub-id-type="pmid">16701288</pub-id></citation>
</ref>
<ref id="ref40">
<label>40.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mell</surname> <given-names>H</given-names></name> <name><surname>Josserand</surname> <given-names>R</given-names></name> <name><surname>Decenci&#x00E8;re</surname> <given-names>B</given-names></name> <name><surname>Artacho</surname> <given-names>P</given-names></name> <name><surname>Meylan</surname> <given-names>S</given-names></name> <name><surname>Le Galliard</surname> <given-names>JF</given-names></name></person-group>. <article-title>Do personalities co-vary with metabolic expenditure and glucocorticoid stress response in adult lizards?</article-title> <source>Behav Ecol Sociobiol</source>. (<year>2016</year>) <volume>70</volume>:<fpage>951</fpage>&#x2013;<lpage>61</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00265-016-2117-z</pub-id></citation>
</ref>
<ref id="ref41">
<label>41.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kays</surname> <given-names>R</given-names></name> <name><surname>Crofoot</surname> <given-names>MC</given-names></name> <name><surname>Jetz</surname> <given-names>W</given-names></name> <name><surname>Wikelski</surname> <given-names>M</given-names></name></person-group>. <article-title>Terrestrial animal tracking as an eye on life and planet</article-title>. <source>Science</source>. (<year>2015</year>) <volume>348</volume>:<fpage>aaa2478</fpage>. doi: <pub-id pub-id-type="doi">10.1126/science.aaa2478</pub-id>, PMID: <pub-id pub-id-type="pmid">26068858</pub-id></citation>
</ref>
<ref id="ref42">
<label>42.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wittemyer</surname> <given-names>G</given-names></name> <name><surname>Northrup</surname> <given-names>JM</given-names></name> <name><surname>Bastille-Rousseau</surname> <given-names>G</given-names></name></person-group>. <article-title>Behavioural valuation of landscapes using movement data</article-title>. <source>Philos Transac R Soc B Biol Sci</source>. (<year>2019</year>) <volume>374</volume>:<fpage>20180046</fpage>. doi: <pub-id pub-id-type="doi">10.1098/rstb.2018.0046</pub-id>, PMID: <pub-id pub-id-type="pmid">31352884</pub-id></citation>
</ref>
<ref id="ref43">
<label>43.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Moberg</surname> <given-names>GP</given-names></name>
</person-group>. <article-title>Biological response to stress: implications for animal welfare</article-title>. <source>Biol Anim Stress</source>. (<year>2000</year>):<fpage>1</fpage>&#x2013;<lpage>21</lpage>. doi: <pub-id pub-id-type="doi">10.1079/9780851993591.0001</pub-id></citation>
</ref>
<ref id="ref44">
<label>44.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sapolsky</surname> <given-names>RM</given-names></name> <name><surname>Romero</surname> <given-names>LM</given-names></name> <name><surname>Muncka</surname> <given-names>U</given-names></name></person-group>. <article-title>How do glucocorticoids influence stress responses? Preparative actions</article-title>. <source>Endocr Rev</source>. (<year>2000</year>) <volume>21</volume>:<fpage>55</fpage>&#x2013;<lpage>89</lpage>. doi: <pub-id pub-id-type="doi">10.1210/er.21.1.55</pub-id></citation>
</ref>
<ref id="ref45">
<label>45.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dantzer</surname> <given-names>B</given-names></name> <name><surname>Swanson</surname> <given-names>EM</given-names></name></person-group>. <article-title>Mediation of vertebrate life histories via insulin-like growth factor-1</article-title>. <source>Biol Rev</source>. (<year>2012</year>) <volume>87</volume>:<fpage>414</fpage>&#x2013;<lpage>29</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1469-185X.2011.00204.x</pub-id></citation>
</ref>
<ref id="ref46">
<label>46.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Romero</surname> <given-names>LM</given-names></name> <name><surname>Beattie</surname> <given-names>UK</given-names></name></person-group>. <article-title>Common myths of glucocorticoid function in ecology and conservation</article-title>. <source>J Experiment Zool</source>. (<year>2022</year>) <volume>337</volume>:<fpage>7</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jez.2459</pub-id>, PMID: <pub-id pub-id-type="pmid">33819389</pub-id></citation>
</ref>
<ref id="ref47">
<label>47.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Romero</surname> <given-names>LM</given-names></name> <name><surname>Wikelski</surname> <given-names>M</given-names></name></person-group>. <article-title>Exposure to tourism reduces stress-induced corticosterone levels in Gal&#x00E1;pagos marine iguanas</article-title>. <source>Biol Conserv</source>. (<year>2002</year>) <volume>108</volume>:<fpage>371</fpage>&#x2013;<lpage>4</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0006-3207(02)00128-3</pub-id></citation>
</ref>
<ref id="ref48">
<label>48.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schoenle</surname> <given-names>LA</given-names></name> <name><surname>Zimmer</surname> <given-names>C</given-names></name> <name><surname>Vitousek</surname> <given-names>MN</given-names></name></person-group>. <article-title>Understanding context dependence in glucocorticoid&#x2013;fitness relationships: the role of the nature of the challenge, the intensity and frequency of stressors, and life history</article-title>. <source>Integr Comp Biol</source>. (<year>2018</year>) <volume>58</volume>:<fpage>777</fpage>&#x2013;<lpage>89</lpage>. doi: <pub-id pub-id-type="doi">10.1093/icb/icy046</pub-id></citation>
</ref>
<ref id="ref49">
<label>49.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Beaulieu</surname> <given-names>M</given-names></name>
</person-group>. <article-title>Oxidative status: a general but overlooked indicator of welfare across animal species?</article-title> <source>BioEssays</source>. (<year>2024</year>) <volume>46</volume>:<fpage>e2300205</fpage>. doi: <pub-id pub-id-type="doi">10.1002/bies.202300205</pub-id>, PMID: <pub-id pub-id-type="pmid">38837433</pub-id></citation>
</ref>
<ref id="ref50">
<label>50.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huber</surname> <given-names>N</given-names></name> <name><surname>Marasco</surname> <given-names>V</given-names></name> <name><surname>Painer</surname> <given-names>J</given-names></name> <name><surname>Vetter</surname> <given-names>SG</given-names></name> <name><surname>G&#x00F6;ritz</surname> <given-names>F</given-names></name> <name><surname>Kaczensky</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Leukocyte coping capacity: an integrative parameter for wildlife welfare within conservation interventions</article-title>. <source>Front Vet Sci</source>. (<year>2019</year>) <volume>6</volume>:<fpage>105</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fvets.2019.00105</pub-id></citation>
</ref>
<ref id="ref51">
<label>51.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Palme</surname> <given-names>R</given-names></name>
</person-group>. <article-title>Non-invasive measurement of glucocorticoids: advances and problems</article-title>. <source>Physiol Behav</source>. (<year>2018</year>) <volume>199</volume>:<fpage>229</fpage>&#x2013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.physbeh.2018.11.021</pub-id>, PMID: <pub-id pub-id-type="pmid">30468744</pub-id></citation>
</ref>
<ref id="ref52">
<label>52.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Kohl</surname> <given-names>KD</given-names></name>
</person-group>. <article-title>An introductory &#x201C;how-to&#x201D; guide for incorporating microbiome research into integrative and comparative biology</article-title>. <source>Integr Comp Biol</source>. (<year>2017</year>) <volume>57</volume>:<fpage>674</fpage>&#x2013;<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1093/icb/icx013</pub-id>, PMID: <pub-id pub-id-type="pmid">28985331</pub-id></citation>
</ref>
<ref id="ref53">
<label>53.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sender</surname> <given-names>R</given-names></name> <name><surname>Fuchs</surname> <given-names>S</given-names></name> <name><surname>Milo</surname> <given-names>R</given-names></name></person-group>. <article-title>Revised estimates for the number of human and Bacteria cells in the body</article-title>. <source>PLoS Biol</source>. (<year>2016</year>) <volume>14</volume>:<fpage>e1002533</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pbio.1002533</pub-id>, PMID: <pub-id pub-id-type="pmid">27541692</pub-id></citation>
</ref>
<ref id="ref54">
<label>54.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Furusawa</surname> <given-names>Y</given-names></name> <name><surname>Obata</surname> <given-names>Y</given-names></name> <name><surname>Fukuda</surname> <given-names>S</given-names></name> <name><surname>Endo</surname> <given-names>TA</given-names></name> <name><surname>Nakato</surname> <given-names>G</given-names></name> <name><surname>Takahashi</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells</article-title>. <source>Nature</source>. (<year>2013</year>) <volume>504</volume>:<fpage>446</fpage>&#x2013;<lpage>50</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature12721</pub-id>, PMID: <pub-id pub-id-type="pmid">24226770</pub-id></citation>
</ref>
<ref id="ref55">
<label>55.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>El Kaoutari</surname> <given-names>A</given-names></name> <name><surname>Armougom</surname> <given-names>F</given-names></name> <name><surname>Gordon</surname> <given-names>J</given-names></name> <name><surname>Raoult</surname> <given-names>D</given-names></name> <name><surname>Henrissat</surname> <given-names>B</given-names></name></person-group>. <article-title>The abundance and variety of carbohydrate-active enzymes in the human gut microbiota</article-title>. <source>Nat Rev Microbiol</source>. (<year>2013</year>) <volume>11</volume>:<fpage>497</fpage>&#x2013;<lpage>504</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrmicro3050</pub-id>, PMID: <pub-id pub-id-type="pmid">23748339</pub-id></citation>
</ref>
<ref id="ref56">
<label>56.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Carnevali</surname> <given-names>O</given-names></name> <name><surname>Avella</surname> <given-names>MA</given-names></name> <name><surname>Gioacchini</surname> <given-names>G</given-names></name></person-group>. <article-title>Effects of probiotic administration on zebrafish development and reproduction</article-title>. <source>Gen Comp Endocrinol</source>. (<year>2013</year>) <volume>188</volume>:<fpage>297</fpage>&#x2013;<lpage>302</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ygcen.2013.02.022</pub-id>, PMID: <pub-id pub-id-type="pmid">23500006</pub-id></citation>
</ref>
<ref id="ref57">
<label>57.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Goyal</surname> <given-names>MS</given-names></name> <name><surname>Venkatesh</surname> <given-names>S</given-names></name> <name><surname>Milbrandt</surname> <given-names>J</given-names></name> <name><surname>Gordon</surname> <given-names>JI</given-names></name> <name><surname>Raichle</surname> <given-names>ME</given-names></name></person-group>. <article-title>Feeding the brain and nurturing the mind: linking nutrition and the gut microbiota to brain development</article-title>. <source>Proc Natl Acad Sci USA</source>. (<year>2015</year>) <volume>112</volume>:<fpage>14105</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1511465112</pub-id>, PMID: <pub-id pub-id-type="pmid">26578751</pub-id></citation>
</ref>
<ref id="ref58">
<label>58.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fung</surname> <given-names>TC</given-names></name> <name><surname>Vuong</surname> <given-names>HE</given-names></name> <name><surname>Luna</surname> <given-names>CDG</given-names></name> <name><surname>Pronovost</surname> <given-names>GN</given-names></name> <name><surname>Aleksandrova</surname> <given-names>AA</given-names></name> <name><surname>Riley</surname> <given-names>NG</given-names></name> <etal/></person-group>. <article-title>Intestinal serotonin and fluoxetine exposure modulate bacterial colonization in the gut</article-title>. <source>Nat Microbiol</source>. (<year>2019</year>) <volume>4</volume>:<fpage>2064</fpage>&#x2013;<lpage>73</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41564-019-0540-4</pub-id>, PMID: <pub-id pub-id-type="pmid">31477894</pub-id></citation>
</ref>
<ref id="ref59">
<label>59.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Davidson</surname> <given-names>GL</given-names></name> <name><surname>Raulo</surname> <given-names>A</given-names></name> <name><surname>Knowles</surname> <given-names>SCL</given-names></name></person-group>. <article-title>Identifying microbiome-mediated behaviour in wild vertebrates</article-title>. <source>Trends Ecol Evol</source>. (<year>2020</year>) <volume>35</volume>:<fpage>972</fpage>&#x2013;<lpage>80</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tree.2020.06.014</pub-id>, PMID: <pub-id pub-id-type="pmid">32736804</pub-id></citation>
</ref>
<ref id="ref60">
<label>60.</label>
<citation citation-type="journal"><person-group person-group-type="author">
<name><surname>Suzuki</surname> <given-names>TA</given-names></name>
</person-group>. <article-title>Links between natural variation in the microbiome and host fitness in wild mammals</article-title>. <source>Integr Comp Biol</source>. (<year>2017</year>) <volume>57</volume>:<fpage>756</fpage>&#x2013;<lpage>69</lpage>. doi: <pub-id pub-id-type="doi">10.1093/icb/icx104</pub-id>, PMID: <pub-id pub-id-type="pmid">28992216</pub-id></citation>
</ref>
<ref id="ref61">
<label>61.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kuziel</surname> <given-names>GA</given-names></name> <name><surname>Rakoff-Nahoum</surname> <given-names>S</given-names></name></person-group>. <article-title>The gut microbiome</article-title>. <source>Curr Biol</source>. (<year>2022</year>) <volume>32</volume>:<fpage>R257</fpage>&#x2013;<lpage>64</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2022.02.023</pub-id></citation>
</ref>
<ref id="ref62">
<label>62.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vandeputte</surname> <given-names>D</given-names></name> <name><surname>Kathagen</surname> <given-names>G</given-names></name> <name><surname>D&#x2019;hoe</surname> <given-names>K</given-names></name> <name><surname>Vieira-Silva</surname> <given-names>S</given-names></name> <name><surname>Valles-Colomer</surname> <given-names>M</given-names></name> <name><surname>Sabino</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Quantitative microbiome profiling links gut community variation to microbial load</article-title>. <source>Nature</source>. (<year>2017</year>) <volume>551</volume>:<fpage>507</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature24460</pub-id>, PMID: <pub-id pub-id-type="pmid">29143816</pub-id></citation>
</ref>
<ref id="ref63">
<label>63.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lepage</surname> <given-names>P</given-names></name> <name><surname>Leclerc</surname> <given-names>MC</given-names></name> <name><surname>Joossens</surname> <given-names>M</given-names></name> <name><surname>Mondot</surname> <given-names>S</given-names></name> <name><surname>Blotti&#x00E8;re</surname> <given-names>HM</given-names></name> <name><surname>Raes</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>A metagenomic insight into our gut&#x2019;s microbiome</article-title>. <source>Gut</source>. (<year>2013</year>) <volume>62</volume>:<fpage>146</fpage>&#x2013;<lpage>58</lpage>. doi: <pub-id pub-id-type="doi">10.1136/gutjnl-2011-301805</pub-id>, PMID: <pub-id pub-id-type="pmid">22525886</pub-id></citation>
</ref>
<ref id="ref64">
<label>64.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Matysik</surname> <given-names>S</given-names></name> <name><surname>Le Roy</surname> <given-names>CI</given-names></name> <name><surname>Liebisch</surname> <given-names>G</given-names></name> <name><surname>Claus</surname> <given-names>SP</given-names></name></person-group>. <article-title>Metabolomics of fecal samples: a practical consideration</article-title>. <source>Trends Food Sci Technol</source>. (<year>2016</year>) <volume>57</volume>:<fpage>244</fpage>&#x2013;<lpage>55</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tifs.2016.05.011</pub-id></citation>
</ref>
<ref id="ref65">
<label>65.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Diaz</surname> <given-names>J</given-names></name> <name><surname>Reese</surname> <given-names>AT</given-names></name></person-group>. <article-title>Possibilities and limits for using the gut microbiome to improve captive animal health</article-title>. <source>Anim Microbiome</source>. (<year>2021</year>) <volume>3</volume>:<fpage>89</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s42523-021-00155-8</pub-id>, PMID: <pub-id pub-id-type="pmid">34965885</pub-id></citation>
</ref>
<ref id="ref66">
<label>66.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kraimi</surname> <given-names>N</given-names></name> <name><surname>Calandreau</surname> <given-names>L</given-names></name> <name><surname>Biesse</surname> <given-names>M</given-names></name> <name><surname>Rabot</surname> <given-names>S</given-names></name> <name><surname>Guitton</surname> <given-names>E</given-names></name> <name><surname>Velge</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Absence of gut microbiota reduces emotional reactivity in Japanese quails (<italic>Coturnix japonica</italic>)</article-title>. <source>Front Physiol</source>. (<year>2018</year>) <volume>9</volume>. doi: <pub-id pub-id-type="doi">10.3389/fphys.2018.00603</pub-id>, PMID: <pub-id pub-id-type="pmid">29881357</pub-id></citation>
</ref>
<ref id="ref67">
<label>67.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pannoni</surname> <given-names>SB</given-names></name> <name><surname>Proffitt</surname> <given-names>KM</given-names></name> <name><surname>Holben</surname> <given-names>WE</given-names></name></person-group>. <article-title>Non-invasive monitoring of multiple wildlife health factors by fecal microbiome analysis</article-title>. <source>Ecol Evol</source>. (<year>2022</year>) <volume>12</volume>:<fpage>e8564</fpage>. doi: <pub-id pub-id-type="doi">10.1002/ece3.8564</pub-id>, PMID: <pub-id pub-id-type="pmid">35154651</pub-id></citation>
</ref>
<ref id="ref68">
<label>68.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bornbusch</surname> <given-names>SL</given-names></name> <name><surname>Power</surname> <given-names>ML</given-names></name> <name><surname>Schulkin</surname> <given-names>J</given-names></name> <name><surname>Drea</surname> <given-names>CM</given-names></name> <name><surname>Maslanka</surname> <given-names>MT</given-names></name> <name><surname>Muletz-Wolz</surname> <given-names>CR</given-names></name></person-group>. <article-title>Integrating microbiome science and evolutionary medicine into animal health and conservation</article-title>. <source>Biol Rev</source>. (<year>2024</year>) <volume>99</volume>:<fpage>458</fpage>&#x2013;<lpage>77</lpage>. doi: <pub-id pub-id-type="doi">10.1111/brv.13030</pub-id>, PMID: <pub-id pub-id-type="pmid">37956701</pub-id></citation>
</ref>
<ref id="ref69">
<label>69.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Turnbaugh</surname> <given-names>PJ</given-names></name> <name><surname>Ley</surname> <given-names>RE</given-names></name> <name><surname>Mahowald</surname> <given-names>MA</given-names></name> <name><surname>Magrini</surname> <given-names>V</given-names></name> <name><surname>Mardis</surname> <given-names>ER</given-names></name> <name><surname>Gordon</surname> <given-names>JI</given-names></name></person-group>. <article-title>An obesity-associated gut microbiome with increased capacity for energy harvest</article-title>. <source>Nature</source>. (<year>2006</year>) <volume>444</volume>:<fpage>1027</fpage>&#x2013;<lpage>31</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature05414</pub-id>, PMID: <pub-id pub-id-type="pmid">17183312</pub-id></citation>
</ref>
<ref id="ref70">
<label>70.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>XY</given-names></name> <name><surname>Sukhchuluun</surname> <given-names>G</given-names></name> <name><surname>Bo</surname> <given-names>TB</given-names></name> <name><surname>Chi</surname> <given-names>QS</given-names></name> <name><surname>Yang</surname> <given-names>JJ</given-names></name> <name><surname>Chen</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Huddling remodels gut microbiota to reduce energy requirements in a small mammal species during cold exposure</article-title>. <source>Microbiome</source>. (<year>2018</year>) <volume>6</volume>:<fpage>103</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s40168-018-0473-9</pub-id>, PMID: <pub-id pub-id-type="pmid">29884232</pub-id></citation>
</ref>
<ref id="ref71">
<label>71.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>B&#x00E4;ckhed</surname> <given-names>F</given-names></name> <name><surname>Ding</surname> <given-names>H</given-names></name> <name><surname>Wang</surname> <given-names>T</given-names></name> <name><surname>Hooper</surname> <given-names>LV</given-names></name> <name><surname>Koh</surname> <given-names>GY</given-names></name> <name><surname>Nagy</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>The gut microbiota as an environmental factor that regulates fat storage</article-title>. <source>Proc Natl Acad Sci USA</source>. (<year>2004</year>) <volume>101</volume>:<fpage>15718</fpage>&#x2013;<lpage>23</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.0407076101</pub-id>, PMID: <pub-id pub-id-type="pmid">15505215</pub-id></citation>
</ref>
<ref id="ref72">
<label>72.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shi</surname> <given-names>Y</given-names></name> <name><surname>Mu</surname> <given-names>L</given-names></name></person-group>. <article-title>An expanding stage for commensal microbes in host immune regulation</article-title>. <source>Cell Mol Immunol</source>. (<year>2017</year>) <volume>14</volume>:<fpage>339</fpage>&#x2013;<lpage>48</lpage>. doi: <pub-id pub-id-type="doi">10.1038/cmi.2016.64</pub-id>, PMID: <pub-id pub-id-type="pmid">28065939</pub-id></citation>
</ref>
<ref id="ref73">
<label>73.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Williams</surname> <given-names>CL</given-names></name> <name><surname>Garcia-Reyero</surname> <given-names>N</given-names></name> <name><surname>Martyniuk</surname> <given-names>CJ</given-names></name> <name><surname>Tubbs</surname> <given-names>CW</given-names></name> <name><surname>Bisesi</surname> <given-names>JH</given-names></name></person-group>. <article-title>Regulation of endocrine systems by the microbiome: perspectives from comparative animal models</article-title>. <source>Gen Comp Endocrinol</source>. (<year>2020</year>) <volume>292</volume>:<fpage>113437</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ygcen.2020.113437</pub-id>, PMID: <pub-id pub-id-type="pmid">32061639</pub-id></citation>
</ref>
<ref id="ref74">
<label>74.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Desbonnet</surname> <given-names>L</given-names></name> <name><surname>Clarke</surname> <given-names>G</given-names></name> <name><surname>Shanahan</surname> <given-names>F</given-names></name> <name><surname>Dinan</surname> <given-names>TG</given-names></name> <name><surname>Cryan</surname> <given-names>JF</given-names></name></person-group>. <article-title>Microbiota is essential for social development in the mouse</article-title>. <source>Mol Psychiatry</source>. (<year>2014</year>) <volume>19</volume>:<fpage>146</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1038/mp.2013.65</pub-id>, PMID: <pub-id pub-id-type="pmid">23689536</pub-id></citation>
</ref>
<ref id="ref75">
<label>75.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vuong</surname> <given-names>HE</given-names></name> <name><surname>Yano</surname> <given-names>JM</given-names></name> <name><surname>Fung</surname> <given-names>TC</given-names></name> <name><surname>Hsiao</surname> <given-names>EY</given-names></name></person-group>. <article-title>The microbiome and host behavior</article-title>. <source>Annu Rev Neurosci</source>. (<year>2017</year>) <volume>40</volume>:<fpage>21</fpage>&#x2013;<lpage>49</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev-neuro-072116-031347</pub-id>, PMID: <pub-id pub-id-type="pmid">28301775</pub-id></citation>
</ref>
<ref id="ref76">
<label>76.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sudo</surname> <given-names>N</given-names></name> <name><surname>Chida</surname> <given-names>Y</given-names></name> <name><surname>Aiba</surname> <given-names>Y</given-names></name> <name><surname>Sonoda</surname> <given-names>J</given-names></name> <name><surname>Oyama</surname> <given-names>N</given-names></name> <name><surname>Yu</surname> <given-names>X-N</given-names></name> <etal/></person-group>. <article-title>Postnatal microbial colonization programs the hypothalamic&#x2013;pituitary&#x2013;adrenal system for stress response in mice</article-title>. <source>J Physiol</source>. (<year>2004</year>) <volume>558</volume>:<fpage>263</fpage>&#x2013;<lpage>75</lpage>. doi: <pub-id pub-id-type="doi">10.1113/jphysiol.2004.063388</pub-id>, PMID: <pub-id pub-id-type="pmid">15133062</pub-id></citation>
</ref>
<ref id="ref77">
<label>77.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolf</surname> <given-names>M</given-names></name> <name><surname>Weissing</surname> <given-names>FJ</given-names></name></person-group>. <article-title>Animal personalities: consequences for ecology and evolution</article-title>. <source>Trends Ecol Evol</source>. (<year>2012</year>) <volume>27</volume>:<fpage>452</fpage>&#x2013;<lpage>61</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tree.2012.05.001</pub-id></citation>
</ref>
<ref id="ref78">
<label>78.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>S</given-names></name> <name><surname>Luo</surname> <given-names>S</given-names></name> <name><surname>Yan</surname> <given-names>C</given-names></name></person-group>. <article-title>Gut microbiota implications for health and welfare in farm animals: a review</article-title>. <source>Animals</source>. (<year>2022</year>) <volume>12</volume>:<fpage>93</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ani12010093</pub-id>, PMID: <pub-id pub-id-type="pmid">35011199</pub-id></citation>
</ref>
<ref id="ref79">
<label>79.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sih</surname> <given-names>A</given-names></name> <name><surname>Mathot</surname> <given-names>KJ</given-names></name> <name><surname>Moir&#x00F3;n</surname> <given-names>M</given-names></name> <name><surname>Montiglio</surname> <given-names>PO</given-names></name> <name><surname>Wolf</surname> <given-names>M</given-names></name> <name><surname>Dingemanse</surname> <given-names>NJ</given-names></name></person-group>. <article-title>Animal personality and state-behaviour feedbacks: a review and guide for empiricists</article-title>. <source>Trends Ecol Evol</source>. (<year>2015</year>) <volume>30</volume>:<fpage>50</fpage>&#x2013;<lpage>60</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tree.2014.11.004</pub-id>, PMID: <pub-id pub-id-type="pmid">25498413</pub-id></citation>
</ref>
<ref id="ref80">
<label>80.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Houwenhuyse</surname> <given-names>S</given-names></name> <name><surname>Stoks</surname> <given-names>R</given-names></name> <name><surname>Mukherjee</surname> <given-names>S</given-names></name> <name><surname>Decaestecker</surname> <given-names>E</given-names></name></person-group>. <article-title>Locally adapted gut microbiomes mediate host stress tolerance</article-title>. <source>ISME J</source>. (<year>2021</year>) <volume>15</volume>:<fpage>2401</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41396-021-00940-y</pub-id>, PMID: <pub-id pub-id-type="pmid">33658622</pub-id></citation>
</ref>
<ref id="ref81">
<label>81.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Madden</surname> <given-names>AA</given-names></name> <name><surname>Oliverio</surname> <given-names>AM</given-names></name> <name><surname>Kearns</surname> <given-names>PJ</given-names></name> <name><surname>Henley</surname> <given-names>JB</given-names></name> <name><surname>Fierer</surname> <given-names>N</given-names></name> <name><surname>Starks</surname> <given-names>PTB</given-names></name> <etal/></person-group>. <article-title>Chronic stress and captivity alter the cloacal microbiome of a wild songbird</article-title>. <source>J Exp Biol</source>. (<year>2022</year>) <volume>225</volume>:<fpage>jeb243176</fpage>. doi: <pub-id pub-id-type="doi">10.1242/jeb.243176</pub-id>, PMID: <pub-id pub-id-type="pmid">35311905</pub-id></citation>
</ref>
<ref id="ref82">
<label>82.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Comizzoli</surname> <given-names>P</given-names></name> <name><surname>Power</surname> <given-names>ML</given-names></name> <name><surname>Bornbusch</surname> <given-names>SL</given-names></name> <name><surname>Muletz-Wolz</surname> <given-names>CR</given-names></name></person-group>. <article-title>Interactions between reproductive biology and microbiomes in wild animal species</article-title>. <source>Anim Microb</source>. (<year>2021</year>) <volume>3</volume>:<fpage>87</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s42523-021-00156-7</pub-id>, PMID: <pub-id pub-id-type="pmid">34949226</pub-id></citation>
</ref>
<ref id="ref83">
<label>83.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kohl</surname> <given-names>KD</given-names></name> <name><surname>Weiss</surname> <given-names>RB</given-names></name> <name><surname>Cox</surname> <given-names>J</given-names></name> <name><surname>Dale</surname> <given-names>C</given-names></name> <name><surname>Dearing</surname> <given-names>MD</given-names></name></person-group>. <article-title>Gut microbes of mammalian herbivores facilitate intake of plant toxins</article-title>. <source>Ecol Lett</source>. (<year>2014</year>) <volume>17</volume>:<fpage>1238</fpage>&#x2013;<lpage>46</lpage>. doi: <pub-id pub-id-type="doi">10.1111/ele.12329</pub-id>, PMID: <pub-id pub-id-type="pmid">25040855</pub-id></citation>
</ref>
<ref id="ref84">
<label>84.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nishida</surname> <given-names>AH</given-names></name> <name><surname>Ochman</surname> <given-names>H</given-names></name></person-group>. <article-title>Rates of gut microbiome divergence in mammals</article-title>. <source>Mol Ecol</source>. (<year>2018</year>) <volume>27</volume>:<fpage>1884</fpage>&#x2013;<lpage>97</lpage>. doi: <pub-id pub-id-type="doi">10.1111/mec.14473</pub-id>, PMID: <pub-id pub-id-type="pmid">29290090</pub-id></citation>
</ref>
<ref id="ref85">
<label>85.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mallott</surname> <given-names>EK</given-names></name> <name><surname>Amato</surname> <given-names>KR</given-names></name></person-group>. <article-title>Host specificity of the gut microbiome</article-title>. <source>Nat Rev Microbiol</source>. (<year>2021</year>) <volume>19</volume>:<fpage>639</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41579-021-00562-3</pub-id></citation>
</ref>
<ref id="ref86">
<label>86.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bobbie</surname> <given-names>CB</given-names></name> <name><surname>Mykytczuk</surname> <given-names>NCS</given-names></name> <name><surname>Schulte-Hostedde</surname> <given-names>AI</given-names></name></person-group>. <article-title>Temporal variation of the microbiome is dependent on body region in a wild mammal (<italic>Tamiasciurus hudsonicus</italic>)</article-title>. <source>FEMS Microbiol Ecol</source>. (<year>2017</year>) <volume>93</volume>:<fpage>1</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1093/femsec/fix081</pub-id>, PMID: <pub-id pub-id-type="pmid">28645188</pub-id></citation>
</ref>
<ref id="ref87">
<label>87.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maurice</surname> <given-names>CF</given-names></name> <name><surname>Knowles</surname> <given-names>CL</given-names></name> <name><surname>Ladau</surname> <given-names>J</given-names></name> <name><surname>Pollard</surname> <given-names>KS</given-names></name> <name><surname>Fenton</surname> <given-names>A</given-names></name> <name><surname>Pedersen</surname> <given-names>AB</given-names></name> <etal/></person-group>. <article-title>Marked seasonal variation in the wild mouse gut microbiota</article-title>. <source>ISME J</source>. (<year>2015</year>) <volume>9</volume>:<fpage>2423</fpage>&#x2013;<lpage>34</lpage>. doi: <pub-id pub-id-type="doi">10.1038/ismej.2015.53</pub-id>, PMID: <pub-id pub-id-type="pmid">26023870</pub-id></citation>
</ref>
<ref id="ref88">
<label>88.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Greyson-Gaito</surname> <given-names>CJ</given-names></name> <name><surname>Bartley</surname> <given-names>TJ</given-names></name> <name><surname>Cottenie</surname> <given-names>K</given-names></name> <name><surname>Jarvis</surname> <given-names>WMC</given-names></name> <name><surname>Newman</surname> <given-names>AEM</given-names></name> <name><surname>Stothart</surname> <given-names>MR</given-names></name></person-group>. <article-title>Into the wild: microbiome transplant studies need broader ecological reality</article-title>. <source>Proc R Soc B Biol Sci</source>. (<year>2020</year>) <volume>287</volume>:<fpage>20192834</fpage>. doi: <pub-id pub-id-type="doi">10.1098/rspb.2019.2834</pub-id>, PMID: <pub-id pub-id-type="pmid">32097591</pub-id></citation>
</ref>
<ref id="ref89">
<label>89.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Beausoleil</surname> <given-names>NJ</given-names></name> <name><surname>Mellor</surname> <given-names>DJ</given-names></name> <name><surname>Baker</surname> <given-names>L</given-names></name> <name><surname>Baker</surname> <given-names>SE</given-names></name> <name><surname>Bellio</surname> <given-names>M</given-names></name> <name><surname>Clarke</surname> <given-names>AS</given-names></name> <etal/></person-group>. <article-title>&#x201C;Feelings and fitness&#x201D; not &#x201C;feelings or fitness&#x201D;&#x2013;the raison d&#x2019;&#x00EA;tre of conservation welfare, which aligns conservation and animal welfare objectives</article-title>. <source>Front Veter Sci</source>. (<year>2018</year>) <volume>5</volume>:<fpage>296</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fvets.2018.00296</pub-id>, PMID: <pub-id pub-id-type="pmid">30538995</pub-id></citation>
</ref>
</ref-list>
</back>
</article>