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<article article-type="research-article" xml:lang="en" dtd-version="1.4"><front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="pmc-domain-id">440</journal-id><journal-id journal-id-type="pmc-domain">plosone</journal-id><journal-id journal-id-type="nlm-id">101285081</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><?publisher_abbrev plos?><publisher><publisher-name>PLOS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmcid">PMC5756047</article-id><article-id pub-id-type="pmcid-ver">PMC5756047.1</article-id><article-id pub-id-type="pmcaid">5756047</article-id><article-id pub-id-type="pmcaiid">5756047</article-id><article-id pub-id-type="pmid">29304078</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0190897</article-id><article-id pub-id-type="publisher-id">PONE-D-17-15042</article-id><article-version article-version-type="pmc-version">1</article-version><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Experimental Organism Systems</subject><subj-group><subject>Model Organisms</subject><subj-group><subject>Zebrafish</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Model Organisms</subject><subj-group><subject>Zebrafish</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Experimental Organism Systems</subject><subj-group><subject>Animal Models</subject><subj-group><subject>Zebrafish</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Eukaryota</subject><subj-group><subject>Animals</subject><subj-group><subject>Vertebrates</subject><subj-group><subject>Fish</subject><subj-group><subject>Osteichthyes</subject><subj-group><subject>Zebrafish</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Biochemistry</subject><subj-group><subject>Enzymology</subject><subj-group><subject>Enzymes</subject><subj-group><subject>Hydrolases</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Biochemistry</subject><subj-group><subject>Proteins</subject><subj-group><subject>Enzymes</subject><subj-group><subject>Hydrolases</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Physiology</subject><subj-group><subject>Biological Locomotion</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Physiology</subject><subj-group><subject>Biological Locomotion</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Behavior</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Biotechnology</subject><subj-group><subject>Bioengineering</subject><subj-group><subject>Synthetic bioengineering</subject><subj-group><subject>Genome engineering</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>TALENs</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Engineering and technology</subject><subj-group><subject>Bioengineering</subject><subj-group><subject>Synthetic bioengineering</subject><subj-group><subject>Genome engineering</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>TALENs</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic bioengineering</subject><subj-group><subject>Genome engineering</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>TALENs</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Engineering and technology</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic bioengineering</subject><subj-group><subject>Genome engineering</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>TALENs</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic genomics</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>TALENs</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Engineering and technology</subject><subj-group><subject>Synthetic biology</subject><subj-group><subject>Synthetic genomics</subject><subj-group><subject>Synthetic genome editing</subject><subj-group><subject>TALENs</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Biochemistry</subject><subj-group><subject>Lipids</subject><subj-group><subject>Fatty Acids</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Physical Sciences</subject><subj-group><subject>Chemistry</subject><subj-group><subject>Chemical Compounds</subject><subj-group><subject>Organic Compounds</subject><subj-group><subject>Amides</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Physical Sciences</subject><subj-group><subject>Chemistry</subject><subj-group><subject>Organic Chemistry</subject><subj-group><subject>Organic Compounds</subject><subj-group><subject>Amides</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and Life Sciences</subject><subj-group><subject>Genetics</subject><subj-group><subject>Gene Expression</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title>The endocannabinoid gene <italic toggle="yes">faah2a</italic> modulates stress-associated behavior in zebrafish</article-title><alt-title alt-title-type="running-head">Zebrafish endocannabinoid genes and stress responses</alt-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id authenticated="true" contrib-id-type="orcid">http://orcid.org/0000-0001-8789-979X</contrib-id><name name-style="western"><surname>Krug</surname><given-names initials="RG">Randall G.</given-names><suffix>II</suffix></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Data curation</role><role content-type="http://credit.casrai.org/">Formal analysis</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Project administration</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Validation</role><role content-type="http://credit.casrai.org/">Visualization</role><role content-type="http://credit.casrai.org/">Writing – original draft</role><role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="aff" rid="aff002"><sup>2</sup></xref><xref ref-type="aff" rid="aff003"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Lee</surname><given-names initials="HB">Han B.</given-names></name><role content-type="http://credit.casrai.org/">Data curation</role><role content-type="http://credit.casrai.org/">Formal analysis</role><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Software</role><role content-type="http://credit.casrai.org/">Validation</role><role content-type="http://credit.casrai.org/">Visualization</role><role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="aff" rid="aff002"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>El Khoury</surname><given-names initials="LY">Louis Y.</given-names></name><role content-type="http://credit.casrai.org/">Formal analysis</role><role content-type="http://credit.casrai.org/">Visualization</role><role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Sigafoos</surname><given-names initials="AN">Ashley N.</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><role content-type="http://credit.casrai.org/">Validation</role><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Petersen</surname><given-names initials="MO">Morgan O.</given-names></name><role content-type="http://credit.casrai.org/">Investigation</role><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Clark</surname><given-names initials="KJ">Karl J.</given-names></name><role content-type="http://credit.casrai.org/">Conceptualization</role><role content-type="http://credit.casrai.org/">Data curation</role><role content-type="http://credit.casrai.org/">Formal analysis</role><role content-type="http://credit.casrai.org/">Funding acquisition</role><role content-type="http://credit.casrai.org/">Methodology</role><role content-type="http://credit.casrai.org/">Project administration</role><role content-type="http://credit.casrai.org/">Resources</role><role content-type="http://credit.casrai.org/">Supervision</role><role content-type="http://credit.casrai.org/">Visualization</role><role content-type="http://credit.casrai.org/">Writing – review &amp; editing</role><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="corresp" rid="cor001">*</xref></contrib></contrib-group><aff id="aff001"><label>1</label>
<addr-line>Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, United States of America</addr-line></aff><aff id="aff002"><label>2</label>
<addr-line>Mayo Clinic Graduate School of Biomedical Sciences (Neurobiology of Disease Track), Mayo Clinic, Rochester, MN, United States of America</addr-line></aff><aff id="aff003"><label>3</label>
<addr-line>Mayo Clinic School of Medicine, Mayo Clinic, Rochester, MN, United States of America</addr-line></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Brennan</surname><given-names initials="CH">Caroline H.</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"/></contrib></contrib-group><aff id="edit1"><addr-line>Queen Mary University of London, UNITED KINGDOM</addr-line></aff><author-notes><fn fn-type="COI-statement" id="coi001"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><corresp id="cor001">* E-mail: <email>clark.karl@mayo.edu</email></corresp></author-notes><pub-date pub-type="epub"><day>5</day><month>1</month><year>2018</year></pub-date><pub-date pub-type="collection"><year>2018</year></pub-date><volume>13</volume><issue>1</issue><issue-id pub-id-type="pmc-issue-id">303875</issue-id><elocation-id>e0190897</elocation-id><history><date date-type="received"><day>18</day><month>4</month><year>2017</year></date><date date-type="accepted"><day>21</day><month>12</month><year>2017</year></date></history><pub-history><event event-type="pmc-release"><date><day>05</day><month>01</month><year>2018</year></date></event><event event-type="pmc-live"><date><day>26</day><month>01</month><year>2018</year></date></event><event event-type="pmc-last-change"><date iso-8601-date="2024-03-12 12:25:17.940"><day>12</day><month>03</month><year>2024</year></date></event></pub-history><permissions><copyright-statement>© 2018 Krug et al</copyright-statement><copyright-year>2018</copyright-year><copyright-holder>Krug et al</copyright-holder><license xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://creativecommons.org/licenses/by/4.0/"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbylicense">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions><self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pmc-pdf" xlink:href="pone.0190897.pdf"><?pdf-name pone.0190897.pdf?><?pdf-size 3870174?><?pdf-md5 cde3f40fe19b1c9cb91fac03d20b9010?><?pdf-image-server-status NEVER_LOAD?><?pdf-cloudpmc-urn urn:app:7652/5756047/cde3f40fe19b/pone.0190897.pdf?></self-uri><self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="pone.0190897.pdf"/><abstract><p>The ability to orchestrate appropriate physiological and behavioral responses to stress is important for survival, and is often dysfunctional in neuropsychiatric disorders that account for leading causes of global disability burden. Numerous studies have shown that the endocannabinoid neurotransmitter system is able to regulate stress responses and could serve as a therapeutic target for the management of these disorders. We used quantitative reverse transcriptase-polymerase chain reactions to show that genes encoding enzymes that synthesize (<italic toggle="yes">abhd4</italic>, <italic toggle="yes">gde1</italic>, <italic toggle="yes">napepld)</italic>, enzymes that degrade (<italic toggle="yes">faah</italic>, <italic toggle="yes">faah2a</italic>, <italic toggle="yes">faah2b</italic>), and receptors that bind (<italic toggle="yes">cnr1</italic>, <italic toggle="yes">cnr2</italic>, <italic toggle="yes">gpr55-like</italic>) endocannabinoids are expressed in zebrafish (<italic toggle="yes">Danio rerio</italic>). These genes are conserved in many other vertebrates, including humans, but fatty acid amide hydrolase 2 has been lost in mice and rats. We engineered transcription activator-like effector nucleases to create zebrafish with mutations in <italic toggle="yes">cnr1</italic> and <italic toggle="yes">faah2a</italic> to test the role of these genes in modulating stress-associated behavior. We showed that disruption of <italic toggle="yes">cnr1</italic> potentiated locomotor responses to hyperosmotic stress. The increased response to stress was consistent with rodent literature and served to validate the use of zebrafish in this field. Moreover, we showed for the first time that disruption of <italic toggle="yes">faah2a</italic> attenuated the locomotor responses to hyperosmotic stress. This later finding suggests that FAAH2 may be an important mediator of stress responses in non-rodent vertebrates. Accordingly, FAAH and FAAH2 modulators could provide distinct therapeutic options for stress-aggravated disorders.</p></abstract><funding-group><award-group id="award001"><funding-source><institution-wrap><institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/100007048</institution-id><institution>Mayo Foundation for Medical Education and Research</institution></institution-wrap></funding-source></award-group><award-group id="award002"><funding-source><institution>Mayo Clinic Graduate School of Biomedical Sciences</institution></funding-source></award-group><award-group id="award003"><funding-source><institution-wrap><institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/100000009</institution-id><institution>Foundation for the National Institutes of Health</institution></institution-wrap></funding-source><award-id>DA032194</award-id><principal-award-recipient><name name-style="western"><surname>Clark</surname><given-names>Karl J.</given-names></name></principal-award-recipient></award-group><funding-statement>The National Institutes of Health (Grant: DA032194; URL: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.nih.gov">https://www.nih.gov</ext-link>) to KJC, the Mayo Clinic Graduate School of Biomedical Sciences (URL: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.mayo.edu/mayo-clinic-graduate-school-of-biomedical-sciences">http://www.mayo.edu/mayo-clinic-graduate-school-of-biomedical-sciences</ext-link>), and the Mayo Foundation for Medical Education and Research (URL: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.mayoclinic.org">http://www.mayoclinic.org</ext-link>) provided funding for this work. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement></funding-group><counts><fig-count count="7"/><table-count count="0"/><page-count count="19"/></counts><custom-meta-group><custom-meta><meta-name>pmc-status-qastatus</meta-name><meta-value>0</meta-value></custom-meta><custom-meta><meta-name>pmc-status-live</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-status-embargo</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-status-released</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-open-access</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-olf</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-manuscript</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-legally-suppressed</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-pdf</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-supplement</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-pdf-only</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-suppress-copyright</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-real-version</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-scanned-article</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-preprint</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-in-epmc</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-license-ref</meta-name><meta-value>CC BY</meta-value></custom-meta><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>All relevant data are within the paper and its Supporting Information files.</p></notes></front><body><sec sec-type="intro" id="sec001"><title>Introduction</title><p>Neuropsychiatric disorders are responsible for a devastating socioeconomic burden. They are a leading cause of disability and have afflicted approximately 1 in 5 adults during the past year [<xref rid="pone.0190897.ref001" ref-type="bibr">1</xref>,<xref rid="pone.0190897.ref002" ref-type="bibr">2</xref>]. Stress is an established risk factor for the onset and progression of these disorders, and thus there is a strong interest in identifying modulators of stress responses for therapeutic applications [<xref rid="pone.0190897.ref003" ref-type="bibr">3</xref>–<xref rid="pone.0190897.ref006" ref-type="bibr">6</xref>]. In recent years, the endocannabinoid (eCB) system has emerged as a candidate for these applications [<xref rid="pone.0190897.ref007" ref-type="bibr">7</xref>]. The lipid-derived neurotransmitters in this system are metabolized through multiple convergent and divergent biochemical pathways, and are able to signal through an array of cognate receptors [<xref rid="pone.0190897.ref008" ref-type="bibr">8</xref>]. The multipartite nature of this system provides an abundance of potential clinical targets that could be manipulated for the management of stress-aggravated disorders. For that reason a considerable amount of research has focused on clarifying how components of the eCB system regulate physiological and behavioral responses to stress.</p><p>The gene that has been most extensively investigated in this context encodes cannabinoid receptor 1, which is best known for its role in mediating the psychoactive affects of marijuana consumption [<xref rid="pone.0190897.ref009" ref-type="bibr">9</xref>]. However, the exogenous compounds that directly manipulate cannabinoid receptor 1 signaling have had limited clinical impact because of their adverse side effects [<xref rid="pone.0190897.ref010" ref-type="bibr">10</xref>]. Accordingly, many recent studies have concentrated on altering the activity of enzymes that metabolize endogenous cannabinoid receptor 1 ligands. Fatty acid amide hydrolase is an eCB catabolic enzyme that has been of particular interest because rodent models with genetic disruptions in <italic toggle="yes">Faah</italic> have increased eCB levels and decreased anxiety-like behaviors [<xref rid="pone.0190897.ref011" ref-type="bibr">11</xref>,<xref rid="pone.0190897.ref012" ref-type="bibr">12</xref>]. Numerous fatty acid amide hydrolase inhibitors have been developed, and <italic toggle="yes">in vivo</italic> testing has revealed their ability to similarly increase eCB levels and decrease stress-associated behavioral responses [<xref rid="pone.0190897.ref013" ref-type="bibr">13</xref>–<xref rid="pone.0190897.ref015" ref-type="bibr">15</xref>]. Nonetheless, the translational potential of these compounds are obscured to a certain extent because rodent models only have one gene encoding a fatty acid amide hydrolase while many non-rodent vertebrates, including humans, also have a <italic toggle="yes">FAAH2</italic> gene [<xref rid="pone.0190897.ref016" ref-type="bibr">16</xref>]. A recent case study has suggested that <italic toggle="yes">FAAH2</italic> may modulate anxiety in humans, and warranted the use of new model organisms to study the functions of fatty acid amide hydrolase homologues [<xref rid="pone.0190897.ref017" ref-type="bibr">17</xref>].</p><p>Zebrafish are a vertebrate model with a suite of characteristics that make them ideal for facilitating studies in this field of eCB biology, including a highly conserved eCB system with homologues of <italic toggle="yes">FAAH2</italic> [<xref rid="pone.0190897.ref018" ref-type="bibr">18</xref>–<xref rid="pone.0190897.ref020" ref-type="bibr">20</xref>]. Several groups have demonstrated that cannabinoid signaling modulates stress-associated behavior in adult zebrafish and a recent study confirmed the presence of the fatty acid amide hydrolase substrate anandamide (AEA) in developing zebrafish [<xref rid="pone.0190897.ref021" ref-type="bibr">21</xref>–<xref rid="pone.0190897.ref025" ref-type="bibr">25</xref>]. After considering these studies, we hypothesized that eCB signaling would modulate stress-associated behavior in larval zebrafish. To test this hypothesis, we first characterized the temporal expression patterns of eCB genes implicated in AEA signaling to determine which were expressed around the 5 dpf time point that coincides with neuroendocrine stress responses in larval zebrafish [<xref rid="pone.0190897.ref026" ref-type="bibr">26</xref>–<xref rid="pone.0190897.ref028" ref-type="bibr">28</xref>]. We subsequently used transcription activator-like effector nucleases (TALENs) to create zebrafish lines with indels in two eCB genes of interest, and examined how these disruptions affected locomotor responses to hyperosmotic stress. We studied <italic toggle="yes">cnr1</italic> because the existing rodent literature provided a valuable reference point for interpreting the results of our approach, and <italic toggle="yes">faah2a</italic> because the absence of studies on the <italic toggle="yes">in vivo</italic> functions of this gene magnified the potential clinical significance of our findings.</p></sec><sec sec-type="materials|methods" id="sec002"><title>Materials and methods</title><sec id="sec003"><title>Zebrafish husbandry</title><p>All zebrafish (<italic toggle="yes">Danio rerio</italic>) were maintained in accordance with protocols approved by the Institutional Animal Care and Use Committee at Mayo Clinic. Adult zebrafish lines were housed within the Mayo Clinic Zebrafish Core Facility, and mated in false bottom containers to generate offspring for line propagation and experimental purposes. Embryos obtained from individual pair crosses were mixed at 0 dpf for each experiment. The mixes were then divided into groups of 60 fish, which were transferred to 100 × 15 mm petri dishes (Becton, Dickinson and Company) containing 25 ml of 0.5X E2 media [<xref rid="pone.0190897.ref029" ref-type="bibr">29</xref>]. At 1 dpf, all nonviable embryos were removed from each group and the viable embryos were transferred to dishes containing 25 ml of fresh 0.5X E2 media. All embryos were raised in an incubator at 28.5°C with a 14/10-hour light/dark cycle until they were used in the experiments detailed in following Materials and methods subsections.</p></sec><sec id="sec004"><title>Temporal patterns of eCB gene expression</title><p>Zebrafish were obtained from crosses between wild type fish, and raised according to the Materials and methods, Zebrafish husbandry subsection. The samples were collected at 0.25 dpf, 1.0 dpf, 2.0 dpf, 3.0 dpf, 4.0 dpf, 5.0 dpf, 6.0 dpf, and 7.0 dpf, and were treated and stored as previously described [<xref rid="pone.0190897.ref028" ref-type="bibr">28</xref>]. The temporal patterns of eCB gene expression were investigated with quantitative reverse transcriptase-polymerase chain reactions (qRT-PCRs). The samples were processed, ribonucleic acids (RNA) were isolated, complementary deoxyribonucleic acids were synthesized, and qRT-PCRs were performed as previously described [<xref rid="pone.0190897.ref028" ref-type="bibr">28</xref>]. The primers used in the qRT-PCRs were designed to amplify a region of the following eCB genes: <italic toggle="yes">cnr1</italic>, <italic toggle="yes">cnr2</italic>, <italic toggle="yes">loc793909</italic>, <italic toggle="yes">abhd4</italic>, <italic toggle="yes">gde1</italic>, <italic toggle="yes">napepld</italic>, <italic toggle="yes">faah</italic>, <italic toggle="yes">faah2a</italic>, and <italic toggle="yes">faah2b</italic> (<xref ref-type="supplementary-material" rid="pone.0190897.s012">S1A Table</xref>). Additional primers were designed and used to amplify regions of four selected reference genes previously used in zebrafish gene expression studies: <italic toggle="yes">rps6kb1b</italic> (Forward <monospace>5'-AAATCTCTATGGCGCTCGGACACC-3'</monospace>, Reverse <monospace>5'-TGGACTCCTTACACAGCCCGAAATC-3'</monospace>), <italic toggle="yes">eef1a1l1</italic> (Forward <monospace>5'-TACAAATGCGGTGGAATCGACAAG-3'</monospace>, Reverse <monospace>5'-TCGGCCTTCAGTTTGTCCAACAC-3'</monospace>), <italic toggle="yes">rpl13a</italic> (Forward <monospace>5'-TCTGGAGGACTGTAAGAGGTATGC-3'</monospace>, Reverse <monospace>5'-AGACGCACAATCTTGAGAGCAG-3'</monospace>), and <italic toggle="yes">b2m</italic> (Forward <monospace>5'-GCCTTCACCCCAGAGAAAGG-3'</monospace>, Reverse <monospace>5'-GCGGTTG GGATTTACATGTTG-3'</monospace>) [<xref rid="pone.0190897.ref030" ref-type="bibr">30</xref>–<xref rid="pone.0190897.ref032" ref-type="bibr">32</xref>]. All primers were obtained from Integrated DNA Technologies (Integrated DNA Technologies Inc, Coralville, IA, USA). The obtained data was used to calculate mean expression ± 95% confidence intervals (95% CI) relative to the 5 dpf time point for each target gene. Comparisons between time points were made using a one-way analysis of variance (ANOVA) followed by Sidak's multiple comparisons test. All statistical analyses were performed using Prism 6 software (GraphPad Software, San Diego, CA, USA). To visualize a cross-comparison of all genes’ fold changes in this paper, heatmaps (<xref ref-type="supplementary-material" rid="pone.0190897.s004">S4</xref>–<xref ref-type="supplementary-material" rid="pone.0190897.s011">S11</xref> Figs) were generated using the ‘gplots’ package in R software v3.4.1 (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.r-project.org/">https://www.r-project.org</ext-link>). Fold changes were calculated using the 2<sup>ΔCt</sup> formula for each gene pair combination when ΔCt was 0 or a positive number. However, when the ΔCt resulted in a negative value the following formula was used: -2<sup>ΔCt</sup>.</p></sec><sec id="sec005"><title>Spatial patterns of eCB gene expression</title><p>Zebrafish in the experimental groups were obtained from crosses between wild type fish, while the zebrafish in the control groups were obtained from outcrosses between heterozygous <italic toggle="yes">casz1</italic><sup>mn0001Gt/+</sup> and wild type fish (<italic toggle="yes">casz1</italic><sup>+/+</sup>) [<xref rid="pone.0190897.ref030" ref-type="bibr">30</xref>]. All fish were raised as described in the Materials and methods, Zebrafish husbandry subsection. The samples were collected at 2 dpf and 4 dpf as previously described [<xref rid="pone.0190897.ref033" ref-type="bibr">33</xref>]. Digoxigenin-labeled probes for <italic toggle="yes">mRFP</italic> were developed from cDNA clones as previously described [<xref rid="pone.0190897.ref030" ref-type="bibr">30</xref>]. Similarly, primers were obtained from Integrated DNA Technologies and used to develop digoxigenin-labeled probes for <italic toggle="yes">faah</italic>, <italic toggle="yes">faah2a</italic>, and <italic toggle="yes">faah2b</italic> (<xref ref-type="supplementary-material" rid="pone.0190897.s012">S1B Table</xref>). The <italic toggle="yes">in situ</italic> hybridization (ISH) experiment was performed using a previously published protocol with the following modifications [<xref rid="pone.0190897.ref033" ref-type="bibr">33</xref>]. In the modified protocol, the 2 dpf samples were treated with proteinase K (Roche) for 20 min and the 4 dpf samples were treated for 40 min. The proteinase K reactions were stopped with 3X 5 min PBT (Bio-Rad Laboratories) washes. The samples were refixed with a 4% PFA solution for 20 min, and then gently shaken during 5X 5 min PBT washes on a rotator (Fischer Scientific). The prehybridization step was completed using a 5 min wash with a 50% hybridization mix / 50% PBT solution, followed by a 4h incubation at 65°C with the hybridization mix. The hybridization step was completed using an overnight incubation at 65°C with hybridization mixes containing probes (1 ng/μl) for each gene of interest. Stringency washes were performed at 65°C to gradually replace the hybridization mixes with SSC buffer containing 0.1% Tween 20 (Bio-Rad Laboratories), which in turn was progressively replaced at room temperature with maleic acid buffer (0.1 M maleic acid, 0.15 M sodium chloride, pH = 7.5) containing 0.1% Tween 20 (MABT) (Bio-Rad Laboratories). The nonspecific antibody binding sites were blocked with 2% Blocking Reagent (Roche) in MABT. The samples were incubated in anti-digoxigenin-AP fab fragments antibody (Roche) diluted at 1:5,000 with blocking buffer. The antibody solution was removed and the samples were washed using 8X 15 min washes with MABT at room temperature. The samples were then equilibrated and stained. A series of single focal plane brightfield images was acquired for each sample using Specimen in a Corrected Optical Rotational Enclosure imaging techniques [<xref rid="pone.0190897.ref034" ref-type="bibr">34</xref>]. The image series were taken on an Axioplan 2 microscope (Carl Zeiss Microscopy) equipped with a Powershot G6 camera (Canon). Each series of images was compiled into a single composite image with Helicon Focus software (Helicon Soft).</p></sec><sec id="sec006"><title>TALEN-mediated mutagenesis of eCB genes</title><p>The National Center for Biotechnology Information (NCBI) <italic toggle="yes">Danio rerio</italic> Annotation Release 105 was used to identify the predicted splice variants associated with each eCB gene of interest [<xref rid="pone.0190897.ref035" ref-type="bibr">35</xref>]. The Basic Local Alignment Search Tool (BLAST) was used to identify sequences encoding amino acid residues in <italic toggle="yes">faah2a</italic> that were putative homologues of the fatty acid amide hydrolase 2 serine-serine-lysine catalytic triad [<xref rid="pone.0190897.ref016" ref-type="bibr">16</xref>,<xref rid="pone.0190897.ref035" ref-type="bibr">35</xref>]. The TALENs were designed to recognize sites conserved in all predicted splice variants by using the Mojo Hand Version 2 software available online at <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.talendesign.org/">http://www.talendesign.org</ext-link> [<xref rid="pone.0190897.ref036" ref-type="bibr">36</xref>]. The <italic toggle="yes">cnr1</italic> TALEN binding sites were positioned around a 15 base pair spacer sequence containing a BstUI restriction enzyme site (<xref ref-type="supplementary-material" rid="pone.0190897.s001">S1A Fig</xref>). The <italic toggle="yes">faah2a</italic> TALEN binding sites were positioned around a 13 base pair spacer sequence containing a BsrI restriction enzyme site just upstream of the sequence predicted to encode a catalytic lysine (<xref ref-type="supplementary-material" rid="pone.0190897.s001">S1B Fig</xref>). Primers were designed to flank these sites so that the fish could be genotyped via restriction fragment polymorphism (RFLP) analyses (<xref ref-type="supplementary-material" rid="pone.0190897.s012">S1C Table</xref>) [<xref rid="pone.0190897.ref037" ref-type="bibr">37</xref>]. The TALEN vectors were created using the Golden Gate method with a pT3TS-GoldyTALEN destination vector [<xref rid="pone.0190897.ref037" ref-type="bibr">37</xref>,<xref rid="pone.0190897.ref038" ref-type="bibr">38</xref>]. The TALEN mRNAs were synthesized and microinjected as previously described [<xref rid="pone.0190897.ref037" ref-type="bibr">37</xref>]. The fish harboring mutant eCB alleles were outcrossed with a dominant leopard line (Cx41.8<sup>+/tq270</sup>) to eventually establish populations of heterozygous F2 mutants [<xref rid="pone.0190897.ref039" ref-type="bibr">39</xref>]. The indels were characterized by sequencing, and the sperm from the F2 populations was cryopreserved [<xref rid="pone.0190897.ref037" ref-type="bibr">37</xref>]. The <italic toggle="yes">cnr1</italic> mutant line was assigned the Zebrafish Information Network (ZFIN) designator cnr1<sup>mn49</sup>, and the <italic toggle="yes">faah2a</italic> mutant line was assigned the ZFIN designator faah2a<sup>mn50</sup> [<xref rid="pone.0190897.ref040" ref-type="bibr">40</xref>].</p></sec><sec id="sec007"><title>Behavior assays</title><p>The zebrafish were obtained from in crosses between the F2 heterozygous eCB mutant lines described in the Materials and methods, TALEN-mediated mutagenesis of eCB genes subsection. All viable fish were raised according to the Materials and methods, Zebrafish husbandry subsection. At 3 dpf the fish were individually transferred in 400 μl of fresh 0.5X E2 media to wells on 48-well tissue culture plates (Corning). All of the behavior assays were completed using previously published protocols with the following modifications [<xref rid="pone.0190897.ref041" ref-type="bibr">41</xref>,<xref rid="pone.0190897.ref042" ref-type="bibr">42</xref>]. The 48-well plates were transferred from the incubator to light-box apparatuses 30 min after the onset of the light cycle on 5 dpf. All experiments were performed at 28.5°C, and the light-box apparatuses were configured with custom acrylic templates designed to align two 48-well plates. The apparatuses housed one pair of plates during each assay, with one plate serving as a control plate and the other as an experimental plate. During the hyperosmotic stress assays fish were acclimated to the apparatus for 45 min before the experiment was initiated. The pre-treatment locomotor baseline activity of the fish was filmed for 15 min, and then the treatments were applied to each plate. The control plates were treated with 100 μl of E2 media and the experimental plates were treated with 100 μl of a 500 mM sodium chloride (Sigma-Aldrich) solution prepared in E2 media (+100 mM final sodium chloride concentration). The post-treatment locomotor activity of the fish was filmed for 31 min. During the nicotine assays fish were acclimated to the apparatus for 20 min before the experiment was initiated. The pre-treatment baseline locomotor activity of the fish was filmed for 5 min, and then the treatments were applied to each plate. The control plates were treated with 100 μl of E2 media and the experimental plates were treated with 100 μl of a 250 μM nicotine (Acros Organics) solution prepared in E2 media (+50 μM final nicotine concentration). The post-treatment locomotor responses of the fish were then filmed for 5 min. The locomotor activity of the fish was analyzed at 1 second intervals with MATLAB software (The MathWorks, Natick, MA, USA) to calculate the distances travelled by each fish. After the behavior assays were completed, the individual larval zebrafish were genotyped using the RFLP analysis described in the Materials and methods, TALEN-mediated mutagenesis of eCB genes subsection. The locomotor data was used to calculate means ± 95% CI. Comparisons between groups were made using a two-way analysis of variance (ANOVA) followed by Tukey's honest significant difference test. All statistical analyses were performed using R software. All graphs were generated using R software, and Illustrator CC software (Adobe, San Jose, CA, USA).</p></sec></sec><sec sec-type="results" id="sec008"><title>Results</title><sec id="sec009"><title>eCB gene expression occurs early in development</title><p>The transcript levels of nine eCB genes were analyzed by qRT-PCR using <italic toggle="yes">rps6kb1b</italic> as the primary housekeeping gene. These levels were assessed relative to 5 dpf, because it corresponded with the stage of development used in our hyperosmotic stress assays. The stage of development significantly affected the expression levels of each eCB gene that was profiled [<italic toggle="yes">cnr1</italic>: <italic toggle="yes">F</italic>(7, 16) = 117.70, <italic toggle="yes">P</italic> &lt; 0.0001; <italic toggle="yes">cnr2</italic>: <italic toggle="yes">F</italic>(7, 16) = 58.35, <italic toggle="yes">P</italic> &lt; 0.0001; <italic toggle="yes">loc793909</italic>: <italic toggle="yes">F</italic>(7, 16) = 13.61, <italic toggle="yes">P</italic> &lt; 0.0001; <italic toggle="yes">abhd4</italic>: <italic toggle="yes">F</italic>(7, 16) = 93.30, <italic toggle="yes">P</italic> &lt; 0.0001; <italic toggle="yes">gde1</italic>: <italic toggle="yes">F</italic>(7, 16) = 58.94, <italic toggle="yes">P</italic> &lt; 0.0001; <italic toggle="yes">napepld</italic>: <italic toggle="yes">F</italic>(7, 16) = 123.80, <italic toggle="yes">P</italic> &lt; 0.0001; <italic toggle="yes">faah</italic>: <italic toggle="yes">F</italic>(7, 16) = 91.65, <italic toggle="yes">P</italic> &lt; 0.0001; <italic toggle="yes">faah2a</italic>: <italic toggle="yes">F</italic>(7, 16) = 278.10, <italic toggle="yes">P</italic> &lt; 0.0001; <italic toggle="yes">faah2b</italic>: <italic toggle="yes">F</italic>(7, 16) = 291.20, <italic toggle="yes">P</italic> &lt; 0.0001]. The transcript levels of eCB receptors encoded by <italic toggle="yes">cnr1</italic> and <italic toggle="yes">cnr2</italic> increased to a peak at 5 dpf, and then exhibited declines at 6 dpf and 7 dpf (<xref ref-type="fig" rid="pone.0190897.g001">Fig 1A and 1B</xref>). The transcript levels of the eCB receptor encoded by <italic toggle="yes">loc793909</italic> increased at 2 dpf, and then exhibited an insignificant decrease that was followed by stability through 7 dpf (<xref ref-type="fig" rid="pone.0190897.g001">Fig 1C</xref>). The transcript levels of eCB anabolic enzymes encoded by <italic toggle="yes">abhd4</italic> and <italic toggle="yes">napepld</italic> increased through the first 5 dpf, and then exhibited declines at 6 dpf and 7 dpf (<xref ref-type="fig" rid="pone.0190897.g002">Fig 2A and 2C</xref>). In contrast, the transcript levels of the eCB anabolic enzyme encoded by <italic toggle="yes">gde1</italic> peaked at 1dpf, then declined through 7 dpf (<xref ref-type="fig" rid="pone.0190897.g002">Fig 2B</xref>). The transcript levels of eCB catabolic enzymes encoded by <italic toggle="yes">faah</italic> and <italic toggle="yes">faah2a</italic> increased through the first 4 dpf, then declined from 5–7 dpf (<xref ref-type="fig" rid="pone.0190897.g003">Fig 3A and 3B</xref>). The transcript levels of the eCB catabolic enzyme encoded by <italic toggle="yes">faah2b</italic> dropped between 0.25 dpf and 1dpf, subsequently increased through 4 dpf, and then declined again through 7 dpf (<xref ref-type="fig" rid="pone.0190897.g003">Fig 3C</xref>). The qRT-PCR threshold cycle (Ct) values recorded at 5 dpf for each eCB gene were included in the Supporting Information (<xref ref-type="supplementary-material" rid="pone.0190897.s013">S2A Table</xref>). The trends in eCB gene expression from 1–7 dpf were largely conserved regardless of the reference gene that was used, however, the stability of reference gene expression was not always conserved at the 0.25 dpf time point (<xref ref-type="supplementary-material" rid="pone.0190897.s004">S4</xref>–<xref ref-type="supplementary-material" rid="pone.0190897.s011">S11</xref> Figs). In addition to the qRT-PCR experiments, ISH was used to investigate the spatiotemporal expression patterns of <italic toggle="yes">faah</italic>, <italic toggle="yes">faah2a</italic>, and <italic toggle="yes">faah2b</italic>. The expression of these genes were not detected by ISH in wild type fish at 2 dpf, however, they were detected at 4 dpf (<xref ref-type="supplementary-material" rid="pone.0190897.s002">S2A Fig</xref>). The expression of all three serine hydrolases was detected in the intestinal bulb. Additionally, faah and faah2a expression was detected in the liver. Background staining was accounted for by examining <italic toggle="yes">mRFP</italic> expression in a mix of siblings obtained by outcrossing heterozygous <italic toggle="yes">casz1</italic><sup>mn0001Gt/+</sup> fish with wild type (<italic toggle="yes">casz1</italic><sup>+/+</sup>) fish [<xref rid="pone.0190897.ref030" ref-type="bibr">30</xref>]. The <italic toggle="yes">mRFP</italic> expression pattern of the GBT0001 line mimics that of <italic toggle="yes">casz1</italic>, and is only present in fish that harbor the gene-break transposon [<xref rid="pone.0190897.ref030" ref-type="bibr">30</xref>]. In these control fish—which were prepared alongside the experimental groups—no background staining was observed in the negative control wild type siblings while staining was observed in the positive control heterozygous <italic toggle="yes">casz1</italic><sup>mn0001Gt/+</sup> siblings (<xref ref-type="supplementary-material" rid="pone.0190897.s002">S2B Fig</xref>).</p><fig id="pone.0190897.g001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0190897.g001</object-id><label>Fig 1</label><caption><title>Temporal expression patterns of eCB receptor genes.</title><p>The time points on all graphs are represented as means ± 95% CI (0.25–1 dpf: 20 larvae/n, n = 3; 2–7 dpf: 10 larvae/n, n = 3). * Indicates that a group is significantly different from the 5 dpf group (Sidak's multiple comparisons test, <italic toggle="yes">P &lt;</italic> 0.05). (A) The fold change of <italic toggle="yes">cnr1</italic> transcript levels relative to 5 dpf as determined by qRT-PCR. (B) The fold change of <italic toggle="yes">cnr2</italic> transcript levels relative to 5 dpf as determined by qRT-PCR. (C) The fold change of <italic toggle="yes">loc793909</italic> transcript levels relative to 5 dpf as determined by qRT-PCR.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="pone.0190897.g001.jpg"><?image-name pone.0190897.g001.jpg?><?image-size 110770?><?image-md5 203b8976ed98b0f530dc43d9b9ca4957?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 2623?><?image-original-width 1178?><?image-scaled-height 1748?><?image-scaled-width 785?><?image-cloudpmc-urn urn:cdn:blobs/7652/5756047/203b8976ed98/pone.0190897.g001.jpg?><?thumb-name pone.0190897.g001.gif?><?thumb-size 9217?><?thumb-md5 a6bf0e6d5601a1222a4bf55eafc89f20?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 223?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/7652/5756047/a6bf0e6d5601/pone.0190897.g001.gif?></graphic></fig><fig id="pone.0190897.g002" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0190897.g002</object-id><label>Fig 2</label><caption><title>Temporal expression patterns of eCB anabolic enzyme genes.</title><p>The time points on all graphs are represented as means ± 95% CI (0.25–1 dpf: 20 larvae/n, n = 3; 2–7 dpf: 10 larvae/n, n = 3). * Indicates that a group is significantly different from the 5 dpf group (Sidak's multiple comparisons test, <italic toggle="yes">P &lt;</italic> 0.05). (A) The fold change of <italic toggle="yes">abhd4</italic> transcript levels relative to 5 dpf as determined by qRT-PCR. (B) The fold change of <italic toggle="yes">gde1</italic> transcript levels relative to 5 dpf as determined by qRT-PCR. (C) The fold change of <italic toggle="yes">napepld</italic> transcript levels relative to 5 dpf as determined by qRT-PCR.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="pone.0190897.g002.jpg"><?image-name pone.0190897.g002.jpg?><?image-size 98250?><?image-md5 c6cb018d889724ccd492245263bfd0ac?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 2623?><?image-original-width 1122?><?image-scaled-height 1749?><?image-scaled-width 748?><?image-cloudpmc-urn urn:cdn:blobs/7652/5756047/c6cb018d8897/pone.0190897.g002.jpg?><?thumb-name pone.0190897.g002.gif?><?thumb-size 9015?><?thumb-md5 cce1daa39b16e548ea38561864d86256?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 234?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/7652/5756047/cce1daa39b16/pone.0190897.g002.gif?></graphic></fig><fig id="pone.0190897.g003" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0190897.g003</object-id><label>Fig 3</label><caption><title>Temporal expression patterns of eCB catabolic enzyme genes.</title><p>The time points on all graphs are represented as means ± 95% CI (0.25–1 dpf: 20 larvae/n, n = 3; 2–7 dpf: 10 larvae/n, n = 3). * Indicates that a group is significantly different from the 5 dpf group (Sidak's multiple comparisons test, <italic toggle="yes">P &lt;</italic> 0.05). (A) The fold change of <italic toggle="yes">faah</italic> transcript levels relative to 5 dpf as determined by qRT-PCR. (B) The fold change of <italic toggle="yes">faah2a</italic> transcript levels relative to 5 dpf as determined by qRT-PCR. (C) The fold change of <italic toggle="yes">faah2b</italic> transcript levels relative to 5 dpf as determined by qRT-PCR.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="pone.0190897.g003.jpg"><?image-name pone.0190897.g003.jpg?><?image-size 84345?><?image-md5 811a68be4d348f1db0bc85edc563cc79?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 2623?><?image-original-width 1216?><?image-scaled-height 1312?><?image-scaled-width 608?><?image-cloudpmc-urn urn:cdn:blobs/7652/5756047/811a68be4d34/pone.0190897.g003.jpg?><?thumb-name pone.0190897.g003.gif?><?thumb-size 9159?><?thumb-md5 e178534a9b19ff9869ebbd97a9da0a95?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 216?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/7652/5756047/e178534a9b19/pone.0190897.g003.gif?></graphic></fig></sec><sec id="sec010"><title>eCB genes modulate stress-associated behavior</title><p>TALENs were used to generate zebrafish lines with frameshift mutations in the eCB receptor gene <italic toggle="yes">cnr1</italic> and the eCB metabolic enzyme gene <italic toggle="yes">faah2a</italic>. One pair of TALENs was designed for a target sequence in exon 1 of <italic toggle="yes">cnr1</italic> and used to generate a F2 heterozygous mutant line with a 20 base pair deletion (<xref ref-type="fig" rid="pone.0190897.g004">Fig 4</xref>, <xref ref-type="supplementary-material" rid="pone.0190897.s001">S1A Fig</xref>). This mutant line was then used to study how <italic toggle="yes">cnr1</italic> regulated stress-associated behavior (<xref ref-type="fig" rid="pone.0190897.g005">Fig 5A</xref>). Another pair of TALENs was designed for a target sequence in exon 3 of <italic toggle="yes">faah2a</italic> and used to generate a F2 heterozygous mutant line with a 10 base pair deletion (<xref ref-type="fig" rid="pone.0190897.g006">Fig 6</xref>, <xref ref-type="supplementary-material" rid="pone.0190897.s001">S1B Fig</xref>). Similarly, this mutant line was then used to study how <italic toggle="yes">faah2a</italic> regulated stress-associated behavior (<xref ref-type="fig" rid="pone.0190897.g007">Fig 7A</xref>). We have previously demonstrated that 5 dpf zebrafish elevate whole-body cortisol levels when challenged with hyperosmotic conditions, and that this neuroendocrine stress response correlated with an increase in stress-associated locomotion [<xref rid="pone.0190897.ref028" ref-type="bibr">28</xref>,<xref rid="pone.0190897.ref042" ref-type="bibr">42</xref>,<xref rid="pone.0190897.ref043" ref-type="bibr">43</xref>]. In the present study, a main affect of treatment was observed in the hyperosmotic stress assays performed with 5 dpf zebrafish obtained from F2 heterozygous eCB mutant in crosses [<italic toggle="yes">cnr1</italic>: <italic toggle="yes">F</italic>(1, 663) = 53.75, <italic toggle="yes">P</italic> &lt; 0.0001; <italic toggle="yes">faah2a</italic>: <italic toggle="yes">F</italic>(1, 474) = 54.60, <italic toggle="yes">P</italic> &lt; 0.0001]. A main affect of genotype was also observed in both of these assays [<italic toggle="yes">cnr1</italic>: <italic toggle="yes">F</italic>(2, 662) = 5.307, <italic toggle="yes">P</italic> &lt; 0.01; <italic toggle="yes">faah2a</italic>: <italic toggle="yes">F</italic>(2, 473) = 3.502, <italic toggle="yes">P</italic> &lt; 0.05]. No significant interaction was observed between treatment and genotype [<italic toggle="yes">cnr1</italic>: <italic toggle="yes">F</italic>(2, 659) = 2.114, <italic toggle="yes">P</italic> &gt; 0.0.5; <italic toggle="yes">faah2a</italic>: <italic toggle="yes">F</italic>(2, 470) = 2.516, <italic toggle="yes">P</italic> &gt; 0.05]. The wild type post-treatment Stress group exhibited a statistically significant increase in locomotor activity relative the wild type post-treatment Control group in each assay (Figs <xref ref-type="fig" rid="pone.0190897.g005">5B</xref> and <xref ref-type="fig" rid="pone.0190897.g007">7B</xref>). The homozygous <italic toggle="yes">cnr1</italic> mutant Stress group displayed a significantly higher locomotor response than the homozygous <italic toggle="yes">cnr1</italic> mutant Control group and the wild type Stress group (<xref ref-type="fig" rid="pone.0190897.g005">Fig 5B</xref>). The homozygous <italic toggle="yes">faah2a</italic> mutant stress group displayed a locomotor response that was not significantly different from the homozygous <italic toggle="yes">faah2a</italic> mutant Control group, and that was significantly lower than the wild type Stress group (<xref ref-type="fig" rid="pone.0190897.g007">Fig 7B</xref>). A nicotine assay was performed to demonstrate that the attenuated response of the homozygous <italic toggle="yes">faah2a</italic> mutants was specific to the hyperosmotic stress assay, and not simply attributed to a reduced capacity for locomotion (<xref ref-type="supplementary-material" rid="pone.0190897.s003">S3A Fig</xref>). Nicotine treatment has been shown to elicit robust locomotor responses from larval zebrafish, and in the present study a main affect of treatment was observed in the nicotine assay [<italic toggle="yes">faah2a</italic>: <italic toggle="yes">F</italic>(1, 90) = 81.51, <italic toggle="yes">P</italic> &lt; 0.0001] [<xref rid="pone.0190897.ref041" ref-type="bibr">41</xref>,<xref rid="pone.0190897.ref044" ref-type="bibr">44</xref>]. No main affect of genotype was observed [<italic toggle="yes">faah2a</italic>: <italic toggle="yes">F</italic>(2, 89) = 1.890, <italic toggle="yes">P</italic> &gt; 0.05], and no significant interaction between treatment and genotype was observed [<italic toggle="yes">faah2a</italic>: <italic toggle="yes">F</italic>(2, 86) = 1.224, <italic toggle="yes">P</italic> &gt; 0.05]. There were no significant differences in the responses of each genotype to nicotine treatment (<xref ref-type="supplementary-material" rid="pone.0190897.s003">S3B Fig</xref>).</p><fig id="pone.0190897.g004" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0190897.g004</object-id><label>Fig 4</label><caption><title>TALEN-mediated mutagenesis of <italic toggle="yes">cnr1</italic>.</title><p>(A) The <italic toggle="yes">cnr1</italic> TALEN target site was designed in exon 1 so that mutagenesis would disrupt all predicted splice variants. NCBI Accessions: Gene ID, 404209; DNA, <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="pmc:entrez-nucleotide" xlink:href="NC_007131.6">NC_007131.6</ext-link>; mRNA (i), <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="pmc:entrez-nucleotide" xlink:href="NM_212820.1">NM_212820.1</ext-link>; Protein (i), <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="pmc:entrez-protein" xlink:href="NP_997985.1">NP_997985.1</ext-link>. (B) An alignment of wild type and mutant <italic toggle="yes">cnr1</italic> sequences reveals the TALEN-induced indel in the target BstUI restriction enzyme site.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="pone.0190897.g004.jpg"><?image-name pone.0190897.g004.jpg?><?image-size 59626?><?image-md5 c93884c392ec92c6bc9de7f6dc2fb1c0?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1782?><?image-original-width 3300?><?image-scaled-height 396?><?image-scaled-width 733?><?image-cloudpmc-urn urn:cdn:blobs/7652/5756047/c93884c392ec/pone.0190897.g004.jpg?><?thumb-name pone.0190897.g004.gif?><?thumb-size 10205?><?thumb-md5 cb43ff48f31ba44276cc2c7a10c801e4?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 148?><?thumb-cloudpmc-urn urn:cdn:blobs/7652/5756047/cb43ff48f31b/pone.0190897.g004.gif?></graphic></fig><fig id="pone.0190897.g005" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0190897.g005</object-id><label>Fig 5</label><caption><title><italic toggle="yes">cnr1</italic> modulates stress-associated behavior.</title><p>(A) The rolling means of distances travelled by wild type (WT), heterozygous <italic toggle="yes">cnr1</italic> (HET) mutant, and homozygous <italic toggle="yes">cnr1</italic> (HOM) mutant zebrafish. The pre-treatment baseline locomotor activity was recorded from −15–0 min, and the post-treatment locomotor activity was recorded from 0–31 min. At time 0 the zebrafish were treated with either E2 media (Control) or E2 media + NaCl (Stress). The locomotor activity at each second is represented as a mean of the distance travelled during the preceding 60 s. (B) The means of distances travelled after the zebrafish were treated with E2 media (Control) or E2 media + NaCl (Stress). The locomotor activity of each group is represented as a mean of the distance travelled per min during the 5–25 min time bin ± 95% CI. Groups with all different letters above the columns are statistically different from each other, while groups with a conserved letter above the columns are not statistically different from each other (Tukey's honest significant difference test, <italic toggle="yes">P &lt;</italic> 0.05).</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="pone.0190897.g005.jpg"><?image-name pone.0190897.g005.jpg?><?image-size 115042?><?image-md5 230dc28ac86cad53178bc6f896462789?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 2413?><?image-original-width 1950?><?image-scaled-height 965?><?image-scaled-width 780?><?image-cloudpmc-urn urn:cdn:blobs/7652/5756047/230dc28ac86c/pone.0190897.g005.jpg?><?thumb-name pone.0190897.g005.gif?><?thumb-size 13511?><?thumb-md5 cb17c6a4c0e9bd4a84ff776a6c21dc4d?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 124?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/7652/5756047/cb17c6a4c0e9/pone.0190897.g005.gif?></graphic></fig><fig id="pone.0190897.g006" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0190897.g006</object-id><label>Fig 6</label><caption><title>TALEN-mediated mutagenesis of <italic toggle="yes">faah2a</italic>.</title><p>(A) The <italic toggle="yes">faah2a</italic> TALEN target site was designed in exon 3 so that mutagenesis would disrupt all predicted splice variants. NCBI Accessions: Gene ID, 436973; DNA, <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="pmc:entrez-nucleotide" xlink:href="NC_007112.6">NC_007112.6</ext-link>; mRNA (i), <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="pmc:entrez-nucleotide" xlink:href="NM_001002700.2">NM_001002700.2</ext-link>; Protein (i), <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="pmc:entrez-protein" xlink:href="NP_001002700.1">NP_001002700.1</ext-link>. The target site is just upstream of the sequence encoding a lysine in the predicted serine 228 (S) / serine 204 (S) / lysine 129 (K) catalytic triad. (B) An alignment of wild type and mutant <italic toggle="yes">faah2a</italic> sequences reveals the TALEN-induced indel in the target BsrI restriction enzyme site.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="pone.0190897.g006.jpg"><?image-name pone.0190897.g006.jpg?><?image-size 68192?><?image-md5 5611c7cdf9ccd81dd0a3810926bb155d?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1865?><?image-original-width 3300?><?image-scaled-height 414?><?image-scaled-width 733?><?image-cloudpmc-urn urn:cdn:blobs/7652/5756047/5611c7cdf9cc/pone.0190897.g006.jpg?><?thumb-name pone.0190897.g006.gif?><?thumb-size 10464?><?thumb-md5 7343c8ec2a675fa74bc1ac6dd7b186d7?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 141?><?thumb-cloudpmc-urn urn:cdn:blobs/7652/5756047/7343c8ec2a67/pone.0190897.g006.gif?></graphic></fig><fig id="pone.0190897.g007" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0190897.g007</object-id><label>Fig 7</label><caption><title><italic toggle="yes">faah2a</italic> modulates stress-associated behavior.</title><p>(A) The rolling means of distances travelled by wild type (WT), heterozygous <italic toggle="yes">faah2a</italic> (HET) mutant, and homozygous <italic toggle="yes">faah2a</italic> (HOM) mutant zebrafish. The pre-treatment baseline locomotor activity was recorded from −15–0 min, and the post-treatment locomotor activity was recorded from 0–31 min. At time 0 the zebrafish were treated with either E2 media (Control) or E2 media + NaCl (Stress). The locomotor activity at each second is represented as a mean of the distance travelled during the preceding 60 s. (B) The means of distances travelled after the zebrafish were treated with E2 media (Control) or E2 media + NaCl (Stress). The locomotor activity of each group is represented as a mean of the distance travelled per min during the 5–25 min time bin ± 95% CI. Groups with all different letters above the columns are statistically different from each other, while groups with a conserved letter above the columns are not statistically different from each other (Tukey's honest significant difference test, <italic toggle="yes">P &lt;</italic> 0.05).</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="pone.0190897.g007.jpg"><?image-name pone.0190897.g007.jpg?><?image-size 116227?><?image-md5 c945c4516a75adf44e94707a4562007e?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 2358?><?image-original-width 1950?><?image-scaled-height 943?><?image-scaled-width 780?><?image-cloudpmc-urn urn:cdn:blobs/7652/5756047/c945c4516a75/pone.0190897.g007.jpg?><?thumb-name pone.0190897.g007.gif?><?thumb-size 13761?><?thumb-md5 5982de4b7ae42e13bada5526307df6e2?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 121?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/7652/5756047/5982de4b7ae4/pone.0190897.g007.gif?></graphic></fig></sec></sec><sec sec-type="conclusions" id="sec011"><title>Discussion</title><p>The eCB system is known to have a critical role in mediating responses to stress, including stress-associated behavior. For this reason, there is increasing interest in therapeutically manipulating the eCB system to manage a repertoire of stress-aggravated disorders. Even so, there is still a limited understanding of how individual eCB genes contribute to the regulation of stress responses. This interface could be rapidly explored by using a genetically amenable, high-throughput model organism like zebrafish. We started our study by assessing the ontogeny of zebrafish eCB gene expression in the first week of development to provide context for our later investigations of gene function. We specifically focused on genes that are implicated in AEA signaling because this eCB has been regarded as a gatekeeper of stress responses [<xref rid="pone.0190897.ref045" ref-type="bibr">45</xref>]. Most of the genes profiled in our qRT-PCR experiments, including <italic toggle="yes">cnr1</italic> and <italic toggle="yes">faah2a</italic>, exhibited time-dependent increases of corresponding mRNA levels. These data provided the most comprehensive analysis on the expression of these zebrafish genes to date and, when applicable, were generally consistent with previous reports [<xref rid="pone.0190897.ref025" ref-type="bibr">25</xref>,<xref rid="pone.0190897.ref046" ref-type="bibr">46</xref>–<xref rid="pone.0190897.ref051" ref-type="bibr">51</xref>]. We also used ISH to characterize the expression of serine hydrolases at 2 dpf and 4 dpf. Although no expression was detected at 2 dpf, expression was detected in the liver and intestinal bulb at 4 dpf. A previous qRT-PCR experiment detected <italic toggle="yes">faah2a</italic> in the brain of adult zebrafish, but we did not observe serine hydrolase expression in the nervous system at these stages of development [<xref rid="pone.0190897.ref047" ref-type="bibr">47</xref>]. It is possible that the whole-mount ISH protocol was not sensitive enough to detect low levels of gene expression that may exist there. A low level of eCB gene expression does not necessarily correlate with a lack of functional significance, and therefore we are reluctant to discount the potential physiological roles of these genes in the nervous system of larval zebrafish [<xref rid="pone.0190897.ref052" ref-type="bibr">52</xref>,<xref rid="pone.0190897.ref053" ref-type="bibr">53</xref>].</p><p>Nonetheless, the majority of the eCB genes we investigated had peak mRNA expression levels in the 4–5 dpf time bin, which corresponded with the onset of functioning physiological and behavioral stress responses [<xref rid="pone.0190897.ref026" ref-type="bibr">26</xref>–<xref rid="pone.0190897.ref028" ref-type="bibr">28</xref>,<xref rid="pone.0190897.ref042" ref-type="bibr">42</xref>,<xref rid="pone.0190897.ref043" ref-type="bibr">43</xref>,<xref rid="pone.0190897.ref054" ref-type="bibr">54</xref>]. Our subsequent hyperosmotic stress assay experiments confirmed that these genes had a role in modulating the stress-associated behavioral responses of larval zebrafish. When compared to wild type and heterozygous <italic toggle="yes">cnr1</italic> mutant siblings, the homozygous mutant siblings had a significantly higher locomotor response to hyperosmotic stress. The potentiated stress-associated behavioral response we observed in this zebrafish line was consistent with the behavior documented in rodent studies with cannabinoid receptor 1 mutant models [<xref rid="pone.0190897.ref055" ref-type="bibr">55</xref>]. These previous studies established that genetic disruption of cannabinoid receptor 1 caused anxiety-like behavior in numerous paradigms including elevated plus maze and light-dark tests [<xref rid="pone.0190897.ref056" ref-type="bibr">56</xref>–<xref rid="pone.0190897.ref058" ref-type="bibr">58</xref>]. Unlike cannabinoid receptor 1, little is known about fatty acid amide hydrolase 2 because this gene is not conserved in rodent models [<xref rid="pone.0190897.ref016" ref-type="bibr">16</xref>]. The single fatty acid amide hydrolase gene that is found in rodents, however, has been extensively researched. Stress-associated behaviors are reduced in rodent <italic toggle="yes">Faah</italic> mutant models, yet it is not clear how the function of this gene relates to the function of homologues found in organisms with multiple fatty acid amide hydrolase genes [<xref rid="pone.0190897.ref011" ref-type="bibr">11</xref>,<xref rid="pone.0190897.ref012" ref-type="bibr">12</xref>]. In our hyperosmotic stress assay, the homozygous <italic toggle="yes">faah2a</italic> zebrafish mutants exhibited significantly reduced locomotor responses to stress. These mutants did not have altered locomotor responses to nicotine treatment indicating that the attenuated response was specific to hyperosmotic stress. The reduced stress-associated behavioral response we observed in the <italic toggle="yes">faah2a</italic> mutants was similar to the behavior observed in rodent <italic toggle="yes">Faah</italic> mutants [<xref rid="pone.0190897.ref011" ref-type="bibr">11</xref>,<xref rid="pone.0190897.ref012" ref-type="bibr">12</xref>]. <italic toggle="yes">In vitro</italic> studies with human homologues of these genes have established that they both catabolize the eCB AEA, and so we suspect that disrupted AEA signaling could account for the observed phenotype because of its well-documented role in modulating responses to stress [<xref rid="pone.0190897.ref016" ref-type="bibr">16</xref>]. However, other less characterized eCBs like oleamide and ethanolamine variants are also known to be substrates of fatty acid amide hydrolases, and could contribute to the phenotype [<xref rid="pone.0190897.ref016" ref-type="bibr">16</xref>].</p><p>The experiments with our <italic toggle="yes">cnr1</italic> mutant line indicated that eCB signaling has a conserved role in modulating the stress-associated behavior of larval zebrafish, and that the unique advantages of this model organism could be leveraged to advance the field of eCB biology. Indeed, we developed the first animal model featuring a mutation in a homologue of <italic toggle="yes">FAAH2</italic> and provided evidence that this gene is involved with regulating stress responses. These results suggest that FAAH2 modulators could potentially be used as a new pharmacotherapeutic class of compounds for manipulating AEA signaling and managing stress-aggravated disorders. This potential should be further investigated by interrogating the functions of all three fatty acid amide hydrolase genes found in zebrafish, which include one <italic toggle="yes">FAAH</italic> homologue and two <italic toggle="yes">FAAH2</italic> paralogues [<xref rid="pone.0190897.ref018" ref-type="bibr">18</xref>–<xref rid="pone.0190897.ref020" ref-type="bibr">20</xref>]. The development of lines with a mutation in each of these genes would deliver a platform for beginning to clarify the redundancies and discrepancies that may exist in the functions of different fatty acid amide hydrolases. Distinguishing between the functions of <italic toggle="yes">FAAH</italic> and <italic toggle="yes">FAAH2</italic> would enable a more refined approach to any downstream preclinical applications. While the results of this study are an important step towards this end, we recognize the need to assess the role of these genes in additional behavioral paradigms. Larval zebrafish have been increasingly used to study responses to stress and a number of assays could be adapted for this purpose including edge preference or light/dark tests [<xref rid="pone.0190897.ref043" ref-type="bibr">43</xref>,<xref rid="pone.0190897.ref059" ref-type="bibr">59</xref>,<xref rid="pone.0190897.ref060" ref-type="bibr">60</xref>]. The changes in stress-associated behavior should also be assessed in adults because it could ensure that the phenotypes are not specific to the stage of development, and would enhance the translational potential of the results. Additionally, we believe it is important to develop strategies for correlating any changes observed in these tests with alterations in eCB signaling dynamics and physiological neuroendocrine stress responses. By making the mutant lines detailed in this paper readily available to the scientific community, we hope to facilitate these studies and to help unlock the eCB system's potential to improve human health.</p></sec><sec sec-type="supplementary-material" id="sec012"><title>Supporting information</title><supplementary-material content-type="local-data" id="pone.0190897.s001" position="float" orientation="portrait"><label>S1 Fig</label><caption><title>TALEN-mediated mutagenesis of eCB genes.</title><p>(A) A schematic of the <italic toggle="yes">cnr1</italic> exon 1 TALEN target sequence and RFLP analysis region. L Binding Site, left TALEN binding site; R Binding Site, right TALEN binding site; F, forward primer; R, reverse primer; BstUI, BstUI restriction enzyme site (highlighted). (B) A schematic of the <italic toggle="yes">faah2a</italic> exon 3 TALEN target site and RFLP analysis region. L Binding Site, left TALEN binding site; R Binding Site, right TALEN binding site; F, forward primer; R, reverse primer; BsrI, BsrI rectriction enzyme site (highlighted).</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s001.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s001.tif?><?suppdata-size 312516?><?suppdata-md5 3bcaafa56bb3a5124ad7a52e261f82ca?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/3bcaafa56bb3/pone.0190897.s001.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s002" position="float" orientation="portrait"><label>S2 Fig</label><caption><title>Spatial expression patterns of serine hydrolase genes.</title><p>(A) The expression patterns of <italic toggle="yes">faah</italic>, <italic toggle="yes">faah2a</italic>, and <italic toggle="yes">faah2b</italic> as determined by ISH. The expression patterns were assessed in samples of wild type (WT) zebrafish siblings that were collected at 2 dpf and 4 dpf. (B) The expression patterns of <italic toggle="yes">mRFP</italic> as determined by ISH. The expression patterns were assessed in samples of wild type (WT) and heterozygous <italic toggle="yes">casz1</italic><sup>mn0001Gt/+</sup>zebrafish siblings that were collected at 2 dpf and 4 dpf.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s002.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s002.tif?><?suppdata-size 1390608?><?suppdata-md5 d2f0005182764ef5a1977dcbe38ceaee?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/d2f000518276/pone.0190897.s002.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s003" position="float" orientation="portrait"><label>S3 Fig</label><caption><title>faah2a does not modulate locomotor responses to nicotine treatment.</title><p>(A) The rolling means of distances travelled by wild type (WT), heterozygous <italic toggle="yes">faah2a</italic> (HET) mutant, and homozygous <italic toggle="yes">faah2a</italic> (HOM) mutant zebrafish. The pre-treatment baseline locomotor activity was recorded from −5–0 min, and the post-treatment locomotor activity was recorded from 0–5 min. At time 0 the zebrafish were treated with either E2 media (Control) or E2 media + Nicotine (Nicotine). The locomotor activity at each second is represented as a mean of the distance travelled during the preceding 60 s. (B) The means of distances travelled after the zebrafish were treated with E2 media (Control) or E2 media + Nicotine (Nicotine). The locomotor activity of each group is represented as a mean of the distance travelled per min during the 0–4 min time bin ± 95% CI. Groups with all different letters above the columns are statistically different from each other, while groups with a conserved letter above the columns are not statistically different from each other (Tukey's honest significant difference test, <italic toggle="yes">P &lt;</italic> 0.05).</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s003.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s003.tif?><?suppdata-size 401648?><?suppdata-md5 fa3bc3b039ce694b4dea99b69b949e4e?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/fa3bc3b039ce/pone.0190897.s003.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s004" position="float" orientation="portrait"><label>S4 Fig</label><caption><title>Heatmaps showing the fold change of each gene pair combination through 7 dpf.</title><p>Fold change is calculated using the 2<sup>ΔCt</sup> formula when ΔCt is greater or equal to 0, and -2<sup>ΔCt</sup> when ΔCt is less than 0 for each gene pair combination. The coloring of the heatmaps is based on the calculation of the ΔCt by subtracting the Ct of the gene in the row from the Ct of the gene in the column (ΔCt = Ct<sub>column</sub>−Ct<sub>row</sub>). S4 Fig: 0.25 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s005">S5 Fig</xref>: 1 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s006">S6 Fig</xref>: 2 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s007">S7 Fig</xref>: 3 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s008">S8 Fig</xref>: 4 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s009">S9 Fig</xref>: 5 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s010">S10 Fig</xref>: 6 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s011">S11 Fig</xref>: 7 dpf.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s004.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s004.tif?><?suppdata-size 13283154?><?suppdata-md5 95de7c95edc4d528f4d84aed086ae248?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/95de7c95edc4/pone.0190897.s004.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s005" position="float" orientation="portrait"><label>S5 Fig</label><caption><title>Heatmaps showing the fold change of each gene pair combination through 7 dpf.</title><p>Fold change is calculated using the 2<sup>ΔCt</sup> formula when ΔCt is greater or equal to 0, and -2<sup>ΔCt</sup> when ΔCt is less than 0 for each gene pair combination. The coloring of the heatmaps is based on the calculation of the ΔCt by subtracting the Ct of the gene in the row from the Ct of the gene in the column (ΔCt = Ct<sub>column</sub>−Ct<sub>row</sub>). <xref ref-type="supplementary-material" rid="pone.0190897.s004">S4 Fig</xref>: 0.25 dpf, S5 Fig: 1 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s006">S6 Fig</xref>: 2 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s007">S7 Fig</xref>: 3 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s008">S8 Fig</xref>: 4 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s009">S9 Fig</xref>: 5 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s010">S10 Fig</xref>: 6 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s011">S11 Fig</xref>: 7 dpf.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s005.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s005.tif?><?suppdata-size 13283154?><?suppdata-md5 65b6afab7d3c343a1d4e1c051a27b8be?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/65b6afab7d3c/pone.0190897.s005.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s006" position="float" orientation="portrait"><label>S6 Fig</label><caption><title>Heatmaps showing the fold change of each gene pair combination through 7 dpf.</title><p>Fold change is calculated using the 2<sup>ΔCt</sup> formula when ΔCt is greater or equal to 0, and -2<sup>ΔCt</sup> when ΔCt is less than 0 for each gene pair combination. The coloring of the heatmaps is based on the calculation of the ΔCt by subtracting the Ct of the gene in the row from the Ct of the gene in the column (ΔCt = Ct<sub>column</sub>−Ct<sub>row</sub>). <xref ref-type="supplementary-material" rid="pone.0190897.s004">S4 Fig</xref>: 0.25 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s005">S5 Fig</xref>: 1 dpf, S6 Fig: 2 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s007">S7 Fig</xref>: 3 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s008">S8 Fig</xref>: 4 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s009">S9 Fig</xref>: 5 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s010">S10 Fig</xref>: 6 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s011">S11 Fig</xref>: 7 dpf.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s006.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s006.tif?><?suppdata-size 13283154?><?suppdata-md5 a9edd6f41a70c4d83cfa24c87475ab17?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/a9edd6f41a70/pone.0190897.s006.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s007" position="float" orientation="portrait"><label>S7 Fig</label><caption><title>Heatmaps showing the fold change of each gene pair combination through 7 dpf.</title><p>Fold change is calculated using the 2<sup>ΔCt</sup> formula when ΔCt is greater or equal to 0, and -2<sup>ΔCt</sup> when ΔCt is less than 0 for each gene pair combination. The coloring of the heatmaps is based on the calculation of the ΔCt by subtracting the Ct of the gene in the row from the Ct of the gene in the column (ΔCt = Ct<sub>column</sub>−Ct<sub>row</sub>). <xref ref-type="supplementary-material" rid="pone.0190897.s004">S4 Fig</xref>: 0.25 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s005">S5 Fig</xref>: 1 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s006">S6 Fig</xref>: 2 dpf, S7 Fig: 3 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s008">S8 Fig</xref>: 4 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s009">S9 Fig</xref>: 5 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s010">S10 Fig</xref>: 6 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s011">S11 Fig</xref>: 7 dpf.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s007.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s007.tif?><?suppdata-size 13283154?><?suppdata-md5 6f4f51cf035bbb1c1a3bfb485a56326c?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/6f4f51cf035b/pone.0190897.s007.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s008" position="float" orientation="portrait"><label>S8 Fig</label><caption><title>Heatmaps showing the fold change of each gene pair combination through 7 dpf.</title><p>Fold change is calculated using the 2<sup>ΔCt</sup> formula when ΔCt is greater or equal to 0, and -2<sup>ΔCt</sup> when ΔCt is less than 0 for each gene pair combination. The coloring of the heatmaps is based on the calculation of the ΔCt by subtracting the Ct of the gene in the row from the Ct of the gene in the column (ΔCt = Ct<sub>column</sub>−Ct<sub>row</sub>). <xref ref-type="supplementary-material" rid="pone.0190897.s004">S4 Fig</xref>: 0.25 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s005">S5 Fig</xref>: 1 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s006">S6 Fig</xref>: 2 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s007">S7 Fig</xref>: 3 dpf, S8 Fig: 4 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s009">S9 Fig</xref>: 5 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s010">S10 Fig</xref>: 6 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s011">S11 Fig</xref>: 7 dpf.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s008.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s008.tif?><?suppdata-size 13283154?><?suppdata-md5 1d0a5f9d42f96daab27401faea2b3af4?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/1d0a5f9d42f9/pone.0190897.s008.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s009" position="float" orientation="portrait"><label>S9 Fig</label><caption><title>Heatmaps showing the fold change of each gene pair combination through 7 dpf.</title><p>Fold change is calculated using the 2<sup>ΔCt</sup> formula when ΔCt is greater or equal to 0, and -2<sup>ΔCt</sup> when ΔCt is less than 0 for each gene pair combination. The coloring of the heatmaps is based on the calculation of the ΔCt by subtracting the Ct of the gene in the row from the Ct of the gene in the column (ΔCt = Ct<sub>column</sub>−Ct<sub>row</sub>). <xref ref-type="supplementary-material" rid="pone.0190897.s004">S4 Fig</xref>: 0.25 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s005">S5 Fig</xref>: 1 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s006">S6 Fig</xref>: 2 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s007">S7 Fig</xref>: 3 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s008">S8 Fig</xref>: 4 dpf, S9 Fig: 5 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s010">S10 Fig</xref>: 6 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s011">S11 Fig</xref>: 7 dpf.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s009.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s009.tif?><?suppdata-size 13283154?><?suppdata-md5 f0a8a8e8319ae2e0157a990213cb2aec?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/f0a8a8e8319a/pone.0190897.s009.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s010" position="float" orientation="portrait"><label>S10 Fig</label><caption><title>Heatmaps showing the fold change of each gene pair combination through 7 dpf.</title><p>Fold change is calculated using the 2<sup>ΔCt</sup> formula when ΔCt is greater or equal to 0, and -2<sup>ΔCt</sup> when ΔCt is less than 0 for each gene pair combination. The coloring of the heatmaps is based on the calculation of the ΔCt by subtracting the Ct of the gene in the row from the Ct of the gene in the column (ΔCt = Ct<sub>column</sub>−Ct<sub>row</sub>). <xref ref-type="supplementary-material" rid="pone.0190897.s004">S4 Fig</xref>: 0.25 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s005">S5 Fig</xref>: 1 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s006">S6 Fig</xref>: 2 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s007">S7 Fig</xref>: 3 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s008">S8 Fig</xref>: 4 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s009">S9 Fig</xref>: 5 dpf, S10 Fig: 6 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s011">S11 Fig</xref>: 7 dpf.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s010.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s010.tif?><?suppdata-size 13283154?><?suppdata-md5 51bbb3669d7276fe105442ac39db025a?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/51bbb3669d72/pone.0190897.s010.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s011" position="float" orientation="portrait"><label>S11 Fig</label><caption><title>Heatmaps showing the fold change of each gene pair combination through 7 dpf.</title><p>Fold change is calculated using the 2<sup>ΔCt</sup> formula when ΔCt is greater or equal to 0, and -2<sup>ΔCt</sup> when ΔCt is less than 0 for each gene pair combination. The coloring of the heatmaps is based on the calculation of the ΔCt by subtracting the Ct of the gene in the row from the Ct of the gene in the column (ΔCt = Ct<sub>column</sub>−Ct<sub>row</sub>). <xref ref-type="supplementary-material" rid="pone.0190897.s004">S4 Fig</xref>: 0.25 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s005">S5 Fig</xref>: 1 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s006">S6 Fig</xref>: 2 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s007">S7 Fig</xref>: 3 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s008">S8 Fig</xref>: 4 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s009">S9 Fig</xref>: 5 dpf, <xref ref-type="supplementary-material" rid="pone.0190897.s010">S10 Fig</xref>: 6 dpf, S11 Fig: 7 dpf.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s011.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s011.tif?><?suppdata-size 13283154?><?suppdata-md5 3884d576466469a40e87c5a1d896d2f9?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/3884d5764664/pone.0190897.s011.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s012" position="float" orientation="portrait"><label>S1 Table</label><caption><title>Primers for eCB gene analyses.</title><p>(A) A list of select zebrafish eCB genes and the primers used to amplify target regions in them for qRT-PCR analyses. (B) A list of select zebrafish eCB genes and the primers used to amplify target regions in them for ISH analyses. (C) A list of select zebrafish eCB genes and the primers used to amplify target regions in them for RFLP analyses.</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s012.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s012.tif?><?suppdata-size 13283154?><?suppdata-md5 8a5519e1b993a60d932248e31edfcc5b?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/8a5519e1b993/pone.0190897.s012.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0190897.s013" position="float" orientation="portrait"><label>S2 Table</label><caption><title>qRT-PCR Ct values.</title><p>(A) A list of Ct values for select zebrafish eCB and reference gene pairs at 5 dpf. The values are shown as a mean ± SD (10 larvae/n, n = 3).</p><p>(TIF)</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="pone.0190897.s013.tif" position="float" orientation="portrait"><?suppdata-name pone.0190897.s013.tif?><?suppdata-size 13283154?><?suppdata-md5 b8c0ef086afd83bd8c0885f555bb3e17?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:7652/5756047/b8c0ef086afd/pone.0190897.s013.tif?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material></sec></body><back><ack><p>We would like to express our gratitude to Stephen Ekker, Ph.D., John Henley, Ph.D., Rajiv Kumar, M.D., and Susannah Tye, Ph.D. for generously providing guidance on this project. We would also like to express our gratitude to Noriko Umemoto, Ph.D., for her assistance with the experimental design of the ISH experiment. Additionally, we would like to thank all members of the Mayo Clinic Zebrafish Core Facility for managing the zebrafish lines that were utilized in this project. The National Institutes of Health (Grant: DA032194), the Mayo Clinic Graduate School of Biomedical Sciences, and the Mayo Foundation for Medical Education and Research provided funding for this work.</p></ack><ref-list><title>References</title><ref id="pone.0190897.ref001"><label>1</label><mixed-citation publication-type="book"><collab>Substance Abuse and Mental Health Services Administration CfBHSaQ</collab> (<year>2014</year>) <source>The NSDUH Report: State Estimates of Adult Mental Illness from the 2011 and 2012</source>
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