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<title xml:lang="en">Origins of Aminergic Regulation of Behavior in Complex Insect Social Systems</title>
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<name sortKey="Kamhi, J Frances" sort="Kamhi, J Frances" uniqKey="Kamhi J" first="J. Frances" last="Kamhi">J. Frances Kamhi</name>
<affiliation>
<nlm:aff id="aff1">
<institution>Department of Biological Sciences, Macquarie University</institution>
,
<addr-line>Sydney, NSW</addr-line>
,
<country>Australia</country>
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<author>
<name sortKey="Arganda, Sara" sort="Arganda, Sara" uniqKey="Arganda S" first="Sara" last="Arganda">Sara Arganda</name>
<affiliation>
<nlm:aff id="aff2">
<institution>Department of Biology, Boston University</institution>
,
<addr-line>Boston, MA</addr-line>
,
<country>United States</country>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff3">
<institution>Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS</institution>
,
<addr-line>Toulouse</addr-line>
,
<country>France</country>
</nlm:aff>
</affiliation>
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<name sortKey="Moreau, Corrie S" sort="Moreau, Corrie S" uniqKey="Moreau C" first="Corrie S." last="Moreau">Corrie S. Moreau</name>
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<institution>Department of Science and Education, Field Museum of Natural History</institution>
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<addr-line>Chicago, IL</addr-line>
,
<country>United States</country>
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</affiliation>
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<name sortKey="Traniello, James F A" sort="Traniello, James F A" uniqKey="Traniello J" first="James F. A." last="Traniello">James F. A. Traniello</name>
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<nlm:aff id="aff2">
<institution>Department of Biology, Boston University</institution>
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<addr-line>Boston, MA</addr-line>
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<country>United States</country>
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</affiliation>
<affiliation>
<nlm:aff id="aff5">
<institution>Graduate Program for Neuroscience, Boston University</institution>
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<addr-line>Boston, MA</addr-line>
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<country>United States</country>
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<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641352</idno>
<idno type="RBID">PMC:5641352</idno>
<idno type="doi">10.3389/fnsys.2017.00074</idno>
<date when="2017">2017</date>
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<title xml:lang="en" level="a" type="main">Origins of Aminergic Regulation of Behavior in Complex Insect Social Systems</title>
<author>
<name sortKey="Kamhi, J Frances" sort="Kamhi, J Frances" uniqKey="Kamhi J" first="J. Frances" last="Kamhi">J. Frances Kamhi</name>
<affiliation>
<nlm:aff id="aff1">
<institution>Department of Biological Sciences, Macquarie University</institution>
,
<addr-line>Sydney, NSW</addr-line>
,
<country>Australia</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Arganda, Sara" sort="Arganda, Sara" uniqKey="Arganda S" first="Sara" last="Arganda">Sara Arganda</name>
<affiliation>
<nlm:aff id="aff2">
<institution>Department of Biology, Boston University</institution>
,
<addr-line>Boston, MA</addr-line>
,
<country>United States</country>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff3">
<institution>Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS</institution>
,
<addr-line>Toulouse</addr-line>
,
<country>France</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Moreau, Corrie S" sort="Moreau, Corrie S" uniqKey="Moreau C" first="Corrie S." last="Moreau">Corrie S. Moreau</name>
<affiliation>
<nlm:aff id="aff4">
<institution>Department of Science and Education, Field Museum of Natural History</institution>
,
<addr-line>Chicago, IL</addr-line>
,
<country>United States</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Traniello, James F A" sort="Traniello, James F A" uniqKey="Traniello J" first="James F. A." last="Traniello">James F. A. Traniello</name>
<affiliation>
<nlm:aff id="aff2">
<institution>Department of Biology, Boston University</institution>
,
<addr-line>Boston, MA</addr-line>
,
<country>United States</country>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff5">
<institution>Graduate Program for Neuroscience, Boston University</institution>
,
<addr-line>Boston, MA</addr-line>
,
<country>United States</country>
</nlm:aff>
</affiliation>
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<series>
<title level="j">Frontiers in Systems Neuroscience</title>
<idno type="eISSN">1662-5137</idno>
<imprint>
<date when="2017">2017</date>
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<div type="abstract" xml:lang="en">
<p>Neuromodulators are conserved across insect taxa, but how biogenic amines and their receptors in ancestral solitary forms have been co-opted to control behaviors in derived socially complex species is largely unknown. Here we explore patterns associated with the functions of octopamine (OA), serotonin (5-HT) and dopamine (DA) in solitary ancestral insects and their derived functions in eusocial ants, bees, wasps and termites. Synthesizing current findings that reveal potential ancestral roles of monoamines in insects, we identify physiological processes and conserved behaviors under aminergic control, consider how biogenic amines may have evolved to modulate complex social behavior, and present focal research areas that warrant further study.</p>
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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Front Syst Neurosci</journal-id>
<journal-id journal-id-type="iso-abbrev">Front Syst Neurosci</journal-id>
<journal-id journal-id-type="publisher-id">Front. Syst. Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Systems Neuroscience</journal-title>
</journal-title-group>
<issn pub-type="epub">1662-5137</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">29066958</article-id>
<article-id pub-id-type="pmc">5641352</article-id>
<article-id pub-id-type="doi">10.3389/fnsys.2017.00074</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Perspective</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Origins of Aminergic Regulation of Behavior in Complex Insect Social Systems</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Kamhi</surname>
<given-names>J. Frances</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/414409/overview"></uri>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Arganda</surname>
<given-names>Sara</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/477465/overview"></uri>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Moreau</surname>
<given-names>Corrie S.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/97685/overview"></uri>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Traniello</surname>
<given-names>James F. A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/320990/overview"></uri>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Biological Sciences, Macquarie University</institution>
,
<addr-line>Sydney, NSW</addr-line>
,
<country>Australia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biology, Boston University</institution>
,
<addr-line>Boston, MA</addr-line>
,
<country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative, Université de Toulouse, CNRS, UPS</institution>
,
<addr-line>Toulouse</addr-line>
,
<country>France</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Science and Education, Field Museum of Natural History</institution>
,
<addr-line>Chicago, IL</addr-line>
,
<country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Graduate Program for Neuroscience, Boston University</institution>
,
<addr-line>Boston, MA</addr-line>
,
<country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Gabriella Hannah Wolff, University of Washington, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Marco Atzori, Universidad Autónoma de San Luis Potosí, Mexico; Vicki Moore, Arizona State University, United States</p>
</fn>
<corresp id="fn001">*Correspondence: J. Frances Kamhi
<email xlink:type="simple">franne.kamhi@mq.edu.au</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>10</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>11</volume>
<elocation-id>74</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>2</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>9</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2017 Kamhi, Arganda, Moreau and Traniello.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Kamhi, Arganda, Moreau and Traniello</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Neuromodulators are conserved across insect taxa, but how biogenic amines and their receptors in ancestral solitary forms have been co-opted to control behaviors in derived socially complex species is largely unknown. Here we explore patterns associated with the functions of octopamine (OA), serotonin (5-HT) and dopamine (DA) in solitary ancestral insects and their derived functions in eusocial ants, bees, wasps and termites. Synthesizing current findings that reveal potential ancestral roles of monoamines in insects, we identify physiological processes and conserved behaviors under aminergic control, consider how biogenic amines may have evolved to modulate complex social behavior, and present focal research areas that warrant further study.</p>
</abstract>
<kwd-group>
<kwd>neuromodulation</kwd>
<kwd>biogenic amines</kwd>
<kwd>eusocial</kwd>
<kwd>social brain evolution</kwd>
<kwd>collective intelligence</kwd>
</kwd-group>
<funding-group>
<award-group>
<funding-source id="cn001">Australian Research Council
<named-content content-type="fundref-id">10.13039/501100000923</named-content>
</funding-source>
<award-id rid="cn001">DP150101172</award-id>
</award-group>
<award-group>
<funding-source id="cn002">H2020 Marie Skłodowska-Curie Actions
<named-content content-type="fundref-id">10.13039/100010665</named-content>
</funding-source>
<award-id rid="cn002">BrainiAnts-660976</award-id>
</award-group>
<award-group>
<funding-source id="cn003">National Science Foundation
<named-content content-type="fundref-id">10.13039/100000001</named-content>
</funding-source>
<award-id rid="cn003">IOS 1354291, IOS 1354193</award-id>
</award-group>
</funding-group>
<counts>
<fig-count count="1"></fig-count>
<table-count count="0"></table-count>
<equation-count count="0"></equation-count>
<ref-count count="146"></ref-count>
<page-count count="9"></page-count>
<word-count count="7643"></word-count>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="introduction" id="s1">
<title>Introduction</title>
<p>The ubiquitous biogenic amines octopamine (OA), serotonin (5-HT) and dopamine (DA) activate neural circuitry to regulate behavior (Libersat and Pflueger,
<xref rid="B76" ref-type="bibr">2004</xref>
; Bergan,
<xref rid="B11" ref-type="bibr">2015</xref>
). The phylogenetic distribution of these neuromodulators suggests a deep evolutionary history predating the origin of the nervous system (Gallo et al.,
<xref rid="B43" ref-type="bibr">2016</xref>
). With few structural modifications, monoamines are functionally diverse in insects (Roeder,
<xref rid="B104" ref-type="bibr">1999</xref>
; Mustard et al.,
<xref rid="B87" ref-type="bibr">2005</xref>
; Blenau and Thamm,
<xref rid="B12" ref-type="bibr">2011</xref>
). Conserved aminergic circuits (Kravitz and Huber,
<xref rid="B70" ref-type="bibr">2003</xref>
; Barron et al.,
<xref rid="B8" ref-type="bibr">2010</xref>
; Perry et al.,
<xref rid="B100" ref-type="bibr">2016</xref>
) and patterns of receptor expression (Roeder,
<xref rid="B104" ref-type="bibr">1999</xref>
; Blenau and Thamm,
<xref rid="B12" ref-type="bibr">2011</xref>
) control behavior in diverse species across insect orders. However, how monoamine neurotransmitter systems served as preadaptations for the evolution of derived behaviors associated with the transition from solitary life to sociality in insects is poorly understood. Insect colonies show remarkable variation in structure and degree of integration of worker actions that could underscore complex social behavior. Using well-resolved insect molecular phylogenies (Wiegmann et al.,
<xref rid="B140" ref-type="bibr">2011</xref>
; Song et al.,
<xref rid="B123" ref-type="bibr">2012</xref>
,
<xref rid="B122" ref-type="bibr">2015</xref>
; Moreau and Bell,
<xref rid="B85" ref-type="bibr">2013</xref>
; Regier et al.,
<xref rid="B101" ref-type="bibr">2013</xref>
; Schmidt,
<xref rid="B107" ref-type="bibr">2013</xref>
; Misof et al.,
<xref rid="B82" ref-type="bibr">2014</xref>
; Wang et al.,
<xref rid="B139" ref-type="bibr">2014</xref>
), we explore the evolution of neuromodulation of social behavior (Supplementary Table S1) by analyzing patterns of monoamine function in solitary and social taxa (Figure
<xref ref-type="fig" rid="F1">1</xref>
; Supplementary Table S2).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption>
<p>Phylogenetic relationship of biogenic amine function across the insects. Behaviors are organized into eight categories (activity, aggression, development, sensory integration, nutrition, reproduction, sensory motor, social function). The overarching trend of the behavioral effects for octopamine (OA), serotonin (5-HT) and dopamine (DA) in each of these categories is represented in the corresponding boxes. Within the phylogenetic tree, black lines indicate solitary/presocial species and orange lines indicate the evolution of eusociality. Insect images are from PhyloPic.
<ext-link ext-link-type="uri" xlink:href="http://phylopic.org">http://phylopic.org</ext-link>
</p>
</caption>
<graphic xlink:href="fnsys-11-00074-g0001"></graphic>
</fig>
</sec>
<sec id="s2">
<title>Social Decision-Making Systems and Behavioral Diversity in Insects</title>
<p>Two neural circuits regulate vertebrate decision-making: the social behavior network, controlled by neuropeptides and gonadal steroids, and the mesolimbic reward system, activated primarily by DA (O’Connell and Hofmann,
<xref rid="B91" ref-type="bibr">2011a</xref>
,
<xref rid="B92" ref-type="bibr">b</xref>
). These circuits act in concert to regulate social interactions and evaluate stimulus valence, respectively, forming the social decision-making network (O’Connell and Hofmann,
<xref rid="B92" ref-type="bibr">2011b</xref>
,
<xref rid="B93" ref-type="bibr">2012</xref>
). Insect social decision-making systems are poorly understood in comparison, although behavioral influences of neuromodulators are well known (Supplementary Table S2).</p>
<p>Neurochemical and neuroendocrine analyses of complex social behavior in insects have largely been limited to the species-rich Hymenoptera (>150,000 species), which includes ants, bees and wasps with solitary, presocial and eusocial life histories. Solitary species are composed of individuals that live and forage alone and interact with conspecifics primarily during mating or territorial disputes. Presocial describes life histories that are intermediate between solitary and eusocial (Eickwort,
<xref rid="B33" ref-type="bibr">1981</xref>
). Eusociality is defined by: (1) reproductive division of labor (the differentiation of fertile [queens and males] and sterile [workers] castes); (2) allomaternal care (cooperative care of immatures by workers); and (3) overlapping generations of reproductive and worker castes (queen longevity allowing coexistence with offspring). Varying degrees of sociality are found in a number of clades. Phase transitions from solitary to gregarious behavior occur in desert locusts (Order Orthoptera; Anstey et al.,
<xref rid="B4" ref-type="bibr">2009</xref>
; Ott and Rogers,
<xref rid="B96" ref-type="bibr">2010</xref>
), beetles (Order Coleoptera) show multiple occurrences of the evolution of familial sociality, including biparental care (Costa,
<xref rid="B23" ref-type="bibr">2006</xref>
; Cunningham et al.,
<xref rid="B26" ref-type="bibr">2015</xref>
; Panaitof et al.,
<xref rid="B97" ref-type="bibr">2016</xref>
), and one species of weevil is eusocial (Kent and Simpson,
<xref rid="B68" ref-type="bibr">1992</xref>
). Solitary life histories predated eusociality in both the Hymenoptera (Wilson,
<xref rid="B141" ref-type="bibr">1971</xref>
) and Isoptera, which diverged from cockroaches into entirely eusocial forms (Bourguignon et al.,
<xref rid="B15" ref-type="bibr">2015</xref>
). The evolution of a reproductive caste occurred once in ants and multiply in bees and wasps; diversification of workers, particularly in ants, has many independent origins (Oster and Wilson,
<xref rid="B95" ref-type="bibr">1978</xref>
; Trible and Kronauer,
<xref rid="B135" ref-type="bibr">2017</xref>
). Eusociality independently evolved in the Order Isoptera (termites, >3000 species; Thorne and Traniello,
<xref rid="B132" ref-type="bibr">2003</xref>
).</p>
<p>Parental behavior, reproductive competition and foraging and defense strategies in solitary (Field et al.,
<xref rid="B38" ref-type="bibr">2006</xref>
,
<xref rid="B39" ref-type="bibr">2015</xref>
; Thompson et al.,
<xref rid="B129" ref-type="bibr">2014</xref>
) and eusocial (Tibbetts,
<xref rid="B133" ref-type="bibr">2013</xref>
) hymenopteran species reflect social decision-making, although neurochemical and neuroanatomical correlates of such systems are poorly understood (Ilies et al.,
<xref rid="B61" ref-type="bibr">2015</xref>
). For example, neural mechanisms underscoring vertebrate-like cognitive abilities, such as individual facial feature recognition in some eusocial wasps, are not known (Gronenberg et al.,
<xref rid="B49" ref-type="bibr">2008</xref>
; Sheehan and Tibbetts,
<xref rid="B114" ref-type="bibr">2011</xref>
). Decision-making at the colony level is seen in collective (swarm) intelligence (Seeley,
<xref rid="B111" ref-type="bibr">2010</xref>
; Jeanson et al.,
<xref rid="B62" ref-type="bibr">2012</xref>
; Sasaki and Pratt,
<xref rid="B106" ref-type="bibr">2012</xref>
; Reid et al.,
<xref rid="B102" ref-type="bibr">2015</xref>
) and in part concerns worker interactions (Greene and Gordon,
<xref rid="B47" ref-type="bibr">2003</xref>
; Greene et al.,
<xref rid="B48" ref-type="bibr">2013</xref>
) that may be causally related to brain neurotransmitter levels (Muscedere et al.,
<xref rid="B86" ref-type="bibr">2012</xref>
; Kamhi and Traniello,
<xref rid="B63" ref-type="bibr">2013</xref>
; Kamhi et al.,
<xref rid="B64" ref-type="bibr">2015</xref>
; Hoover et al.,
<xref rid="B57" ref-type="bibr">2016</xref>
). Studies have focused on the aminergic control of worker interactions that contribute to social organization, including responsiveness to social signals and cues that regulate alloparental care, food exchange, nest construction, defensive behavior and foraging (reviewed in Kamhi and Traniello,
<xref rid="B63" ref-type="bibr">2013</xref>
; Simpson and Stevenson,
<xref rid="B118" ref-type="bibr">2015</xref>
; Hamilton et al.,
<xref rid="B51" ref-type="bibr">2017</xref>
). Studies have begun to explore genetic and epigenetic underpinnings of task performance and plasticity through state changes in behavior (Lucas and Sokolowski,
<xref rid="B80" ref-type="bibr">2009</xref>
; Simola et al.,
<xref rid="B116" ref-type="bibr">2016</xref>
) that may involve neuromodulators.</p>
</sec>
<sec id="s3">
<title>Behavior and Biogenic Amine Functions in Insects</title>
<p>Genes controlling behavior in solitary insects regulate social behavior in eusocial species (LeBoeuf et al.,
<xref rid="B72" ref-type="bibr">2013</xref>
) and affect sensory receptor evolution (Baldwin et al.,
<xref rid="B6" ref-type="bibr">2014</xref>
). Monoamine functions in solitary insects likely reflect this conservation, and appear to have been preadaptive for eusocialty. To understand the evolution of neuromodulatory systems in insects, we organized available data on aminergic control into eight behavioral categories: activity, aggression, development, higher-order sensory integration, nutrition, reproduction, sensorimotor functions and social functions (defined in Supplementary Table S1). Behaviors may span multiple categories, such as parental care and mate selection involving reproduction and derived social functions. Statistical tests showed similar patterns of monoamine function in solitary and eusocial species (Supplementary Figure S1), although small sample sizes constrain inferences. While data on biogenic amine regulation is variable and fragmentary, some patterns emerge suggesting that aminergic circuitry has shifted in function during the transition from solitary to social life. Monoamines have been co-opted for social functions through receptor and circuitry evolution and have gained novel functions to regulate social behaviors. For example, 5-HT (Alekseyenko et al.,
<xref rid="B3" ref-type="bibr">2010</xref>
,
<xref rid="B2" ref-type="bibr">2014</xref>
; Bubak et al.,
<xref rid="B18" ref-type="bibr">2014</xref>
) and OA (Stevenson et al.,
<xref rid="B125" ref-type="bibr">2000</xref>
; Hoyer et al.,
<xref rid="B59" ref-type="bibr">2008</xref>
; Zhou et al.,
<xref rid="B145" ref-type="bibr">2008</xref>
; Stevenson and Rillich,
<xref rid="B124" ref-type="bibr">2017</xref>
) increase aggression in solitary insects. In social insects, aggression is associated with the ability to pheromonally distinguish nestmates from non-nestmates (Stroeymeyt et al.,
<xref rid="B127" ref-type="bibr">2010</xref>
; Sturgis and Gordon,
<xref rid="B128" ref-type="bibr">2012</xref>
), and OA is implicated in improved nestmate recognition (Robinson et al.,
<xref rid="B103" ref-type="bibr">1999</xref>
; Vander Meer et al.,
<xref rid="B136" ref-type="bibr">2008</xref>
; Kamhi et al.,
<xref rid="B64" ref-type="bibr">2015</xref>
). OA may thus enhance sensitivity to pheromonal cues and regulate social interactions similarly in both solitary and social insects.</p>
<p>DA, 5-HT and OA are involved in regulating metamorphosis in solitary insects (Nässel and Laxmyr,
<xref rid="B88" ref-type="bibr">1983</xref>
; Hirashima et al.,
<xref rid="B56" ref-type="bibr">1999</xref>
). In social insects, monoamines are associated with age-related behavioral changes and collateral physiological and neural development (Schulz et al.,
<xref rid="B108" ref-type="bibr">2002</xref>
; Seid and Traniello,
<xref rid="B112" ref-type="bibr">2005</xref>
; Cuvillier-Hot and Lenoir,
<xref rid="B27" ref-type="bibr">2006</xref>
; Wnuk et al.,
<xref rid="B142" ref-type="bibr">2010</xref>
; Giraldo et al.,
<xref rid="B44" ref-type="bibr">2016</xref>
). OA increases with age and is causally related to the transition from nursing to foraging in honey bees (Schulz et al.,
<xref rid="B108" ref-type="bibr">2002</xref>
). In ants, 5-HT, DA (Seid and Traniello,
<xref rid="B112" ref-type="bibr">2005</xref>
; Cuvillier-Hot and Lenoir,
<xref rid="B27" ref-type="bibr">2006</xref>
), and OA (Wnuk et al.,
<xref rid="B142" ref-type="bibr">2010</xref>
) increase with age; 5-HT, similar to OA in bees, is correlated with age-related initiation of foraging (Seid and Traniello,
<xref rid="B112" ref-type="bibr">2005</xref>
) and sensitivity to pheromonal signals underscoring trail communication (Muscedere et al.,
<xref rid="B86" ref-type="bibr">2012</xref>
).</p>
<p>In respect to other behaviors, suppressing DA neurons in
<italic>Drosophila melanogaster</italic>
consistently inhibits aversive but not appetitive learning, whereas manipulating OA action produces the opposite pattern (Schwaerzel et al.,
<xref rid="B109" ref-type="bibr">2003</xref>
; Claridge-Chang et al.,
<xref rid="B22" ref-type="bibr">2009</xref>
; Aso et al.,
<xref rid="B5" ref-type="bibr">2010</xref>
). Similar patterns have been found in honey bees (Mercer and Menzel,
<xref rid="B81" ref-type="bibr">1982</xref>
; Hammer and Menzel,
<xref rid="B52" ref-type="bibr">1998</xref>
). However, appetitive learning in social insects must be considered in respect to the social context, where foraging is dependent on the nutritional state of the colony rather than the individual (Traniello,
<xref rid="B134" ref-type="bibr">1977</xref>
; Seeley,
<xref rid="B110" ref-type="bibr">1989</xref>
). OA increases the likelihood of successful foragers waggle dancing, which communicates information about food location and quality to nestmates; this demonstrates that an amine may be adapted to serve a colony-level function in food collection rather than benefit individual nutrition (Barron et al.,
<xref rid="B7" ref-type="bibr">2007</xref>
).</p>
<p>Biogenic amines appear to have gained new functions associated with the regulation of social organization. DA correlates with increased receptivity and mating in solitary insects (Pastor et al.,
<xref rid="B98" ref-type="bibr">1991</xref>
; Neckameyer,
<xref rid="B89" ref-type="bibr">1998</xref>
; Chvalova et al.,
<xref rid="B21" ref-type="bibr">2014</xref>
; Brent et al.,
<xref rid="B17" ref-type="bibr">2016</xref>
), and reproductive state in many hymenopterans (e.g., Sasaki et al.,
<xref rid="B105" ref-type="bibr">2007</xref>
). Honey bee and some ant workers are reproductively capable; however, both ant and honey bee queens release a pheromone, queen mandibular pheromone (QMP), that inhibits worker reproduction (Fletcher and Blum,
<xref rid="B40" ref-type="bibr">1981</xref>
; Hoover et al.,
<xref rid="B58" ref-type="bibr">2003</xref>
) by acting through DA circuitry (Harris and Woodring,
<xref rid="B53" ref-type="bibr">1995</xref>
; Boulay et al.,
<xref rid="B14" ref-type="bibr">2001</xref>
; Beggs et al.,
<xref rid="B10" ref-type="bibr">2007</xref>
). Aggressive interactions between workers to control reproductive dominance also affect DA levels (Shimoji et al.,
<xref rid="B115" ref-type="bibr">2017</xref>
). These studies suggest that in both solitary and eusocial insects DA regulates reproductive state, and DA additionally may be integral to the maintenance of reproductive division of labor and the resolution of reproductive competition in eusocial species.</p>
</sec>
<sec id="s4">
<title>Focal Questions</title>
<p>We identify four research areas, among several others, that are significant in the study of the neuromodulation of complex eusocial behavior.</p>
<sec id="s4-1">
<title>Altruism, Genes and Neuromodulators</title>
<p>Altruism is evident in the sterility of workers and their fatal self-sacrificing behavior. Developmental programming controls ovarian function, feeding the queen and alloparental care, and likely regulates defensive responses that decrease the survival of altruistic workers. Correlations among DA, OA, their receptors, ovarian development and honey bee worker responsiveness to social signals of fertility have been identified (reviewed in Simpson and Stevenson,
<xref rid="B118" ref-type="bibr">2015</xref>
; Hamilton et al.,
<xref rid="B51" ref-type="bibr">2017</xref>
). As discussed above, worker fertility is controlled by QMP, which also causes workers to feed and groom the queen and activates brain genes associated with alloparenting (Grozinger et al.,
<xref rid="B50" ref-type="bibr">2003</xref>
). Workers showing higher ovarian activity are less likely to show queen-directed behaviors (Galbraith et al.,
<xref rid="B42" ref-type="bibr">2015</xref>
). Honey bee ovarian development is associated with the expression of a tyramine receptor gene (Thompson et al.,
<xref rid="B131" ref-type="bibr">2007</xref>
) and brain levels of the OA receptor Oa1 (Cardoen et al.,
<xref rid="B20" ref-type="bibr">2011</xref>
; Galbraith et al.,
<xref rid="B42" ref-type="bibr">2015</xref>
; Sobotka et al.,
<xref rid="B120" ref-type="bibr">2016</xref>
). QMP also modulates DA receptor gene expression, decreases brain DA levels, and reduces activity possibly by inhibiting DA function in young workers (Beggs et al.,
<xref rid="B10" ref-type="bibr">2007</xref>
). Homologous systems appear to control reproduction in ants: QMP inhibits reproduction and DA may increase fertility (Boulay et al.,
<xref rid="B14" ref-type="bibr">2001</xref>
; Penick et al.,
<xref rid="B99" ref-type="bibr">2014</xref>
; Okada et al.,
<xref rid="B94" ref-type="bibr">2015</xref>
).</p>
<p>Together, these studies suggest that in eusocial insects DA regulates reproductive state and related social behaviors, which are key to altruism. Thompson et al. (
<xref rid="B130" ref-type="bibr">2013</xref>
) noted that “genes underlying altruism should coevolve with, or depend on, genes for kin recognition”; such genes specify recipients of altruistic actions. The regulation of polygyny (multiple queens) in ants and the direction of lethal aggression toward queens of a certain genotype, is under the control of the
<italic>Gp-9</italic>
gene, which codes for an odorant-binding protein (Gotzek and Ross,
<xref rid="B46" ref-type="bibr">2007</xref>
). This indicates that chemical communication underscores strategies associated with inclusive fitness. Nestmate recognition may be causally related to monoamine levels (Kamhi and Traniello,
<xref rid="B63" ref-type="bibr">2013</xref>
; Kamhi et al.,
<xref rid="B64" ref-type="bibr">2015</xref>
; Hoover et al.,
<xref rid="B57" ref-type="bibr">2016</xref>
) and altruistic defense. Self-sacrifice is associated with defensive specializations of “soldiers,” and may concern serotonergic circuits (Giraldo et al.,
<xref rid="B45" ref-type="bibr">2013</xref>
). Soldiers are more tolerant of risk; elevated monoamine levels or subcaste-specific receptor profiles may underscore their self-sacrificing behavior.</p>
</sec>
<sec id="s4-2">
<title>Orchestration of Individual and Colony-Level Behavior</title>
<p>Social decision-making networks in vertebrates and eusocial insects function in different contexts and favor, respectively, individual reproduction and inclusive fitness. Concepts such as social brain theory (Dunbar,
<xref rid="B30" ref-type="bibr">1998</xref>
), developed for vertebrates, may vary in its applicability to eusocial insects (Lihoreau et al.,
<xref rid="B78" ref-type="bibr">2012</xref>
). Similarly, neuromodulators play a key role in the “orchestration of behavior” (Sombati and Hoyle,
<xref rid="B121" ref-type="bibr">1984</xref>
; Hoyle,
<xref rid="B60" ref-type="bibr">1985</xref>
), but analyses of organizational mechanisms should distinguish between the regulation of individual behavior by monoamines and the control of emergent colony properties by pheromones to determine whether the orchestration hypothesis can explain the control of these two systems (Kamhi and Traniello,
<xref rid="B63" ref-type="bibr">2013</xref>
). The circuitry of social networks underscoring division of labor and collective action may concern interactions of communicating workers, which have been considered to be functionally similar to neurons (Couzin,
<xref rid="B24" ref-type="bibr">2009</xref>
; Feinerman and Korman,
<xref rid="B36" ref-type="bibr">2017</xref>
). Similarly, pheromones are behavioral releasers that may parallel neurotransmitter functions in circuits. The role of the “colony brain” in emergent group behavior is therefore in part constructed from the neurochemistry of individual worker brains that modulate responsiveness to social cues and signals as well as social interactions and pheromonal communication systems that modulate group decision-making. Kamhi and Traniello (
<xref rid="B63" ref-type="bibr">2013</xref>
) hypothesized that worker interactions may cause neuromodulatory and behavioral synchronization in collective action, and that monoamine titers could regulate cyclical activity. Control processes analogous to neural synchronization in vertebrate brains may underscore colony-level behavior.</p>
<p>An emergent action that holds promise for such an analysis is cooperative foraging, a goal-oriented system in which chemical signals control colony behavior (Czaczkes et al.,
<xref rid="B28" ref-type="bibr">2015</xref>
). Foraging effort is modified by the responses of individual workers to pheromones that induce and terminate foraging activity by affecting individual and group decisions. The ability of workers to render decisions that modify colony-level responses may be related to worker physical caste or age. OA underscores subcaste-specific behavior in ants (Kamhi et al.,
<xref rid="B64" ref-type="bibr">2015</xref>
), and 5-HT in ants (Seid and Traniello,
<xref rid="B112" ref-type="bibr">2005</xref>
; Seid et al.,
<xref rid="B113" ref-type="bibr">2008</xref>
) and OA in honey bees (Schulz et al.,
<xref rid="B108" ref-type="bibr">2002</xref>
) modulate age-related task transitions that involve striking shifts in stimulus environments within and outside of the nest. Biogenic amines may thus influence division of labor and collective action through changes in olfactory responsiveness.</p>
</sec>
<sec id="s4-3">
<title>Nutrition and Biogenic Amines</title>
<p>Nutrition has diverse effects on social behavior, from group aggregation to brain physiology (Simpson and Raubenheimer,
<xref rid="B117" ref-type="bibr">2012</xref>
; Lihoreau et al.,
<xref rid="B77" ref-type="bibr">2015</xref>
). Diet influences levels of brain monoamines, which are derived from amino acids such as tryptophan and tyrosine (Crockett et al.,
<xref rid="B25" ref-type="bibr">2009</xref>
; Wada-Katsumata et al.,
<xref rid="B138" ref-type="bibr">2011</xref>
; Fernstrom,
<xref rid="B37" ref-type="bibr">2013</xref>
). In insects, 5-HT, DA and OA modulate feeding behavior (Braun and Bicker,
<xref rid="B16" ref-type="bibr">1992</xref>
; Falibene et al.,
<xref rid="B34" ref-type="bibr">2012</xref>
) through regulatory mechanisms that may be conserved between solitary and social species (Dacks et al.,
<xref rid="B29" ref-type="bibr">2003</xref>
; Haselton et al.,
<xref rid="B54" ref-type="bibr">2009</xref>
; Neckameyer,
<xref rid="B90" ref-type="bibr">2010</xref>
). Serotonergic fibers innervate the insect digestive system in species-specific patterns of distribution (e.g., Klemm et al.,
<xref rid="B69" ref-type="bibr">1986</xref>
; Molaei and Lange,
<xref rid="B83" ref-type="bibr">2003</xref>
; Falibene et al.,
<xref rid="B34" ref-type="bibr">2012</xref>
; French et al.,
<xref rid="B41" ref-type="bibr">2014</xref>
). In eusocial insects, food is exchanged among colony members through trophallaxis. In the foregut, the proventriculus controls the transfer of food to the midgut (for individual worker metabolism) and its retention in the crop (to be shared with colony members). In solitary insects, 5-HT increases crop contractions (Liscia et al.,
<xref rid="B79" ref-type="bibr">2012</xref>
), enabling regurgitation (Stoffolano et al.,
<xref rid="B126" ref-type="bibr">2008</xref>
). In honey bees (French et al.,
<xref rid="B41" ref-type="bibr">2014</xref>
) and some ants (Falibene et al.,
<xref rid="B34" ref-type="bibr">2012</xref>
), serotonergic fibers innervate both organs; in honey bees, 5-HT antagonists affect crop and proventriculus contractions (French et al.,
<xref rid="B41" ref-type="bibr">2014</xref>
). In eusocial insects, 5-HT may thus have been co-opted for food sharing, reducing individual feeding behavior and enabling trophallaxis when the crop is full.</p>
<p>In ants, nutrient requirements differ among colony members: workers mainly feed on carbohydrates for energy, whereas larvae require protein for development. Colonies with larvae collect food with higher protein content (Abril et al.,
<xref rid="B1" ref-type="bibr">2007</xref>
; Dussutour and Simpson,
<xref rid="B31" ref-type="bibr">2008</xref>
,
<xref rid="B32" ref-type="bibr">2009</xref>
); communication of nutritional needs (Farina and Grüter,
<xref rid="B35" ref-type="bibr">2009</xref>
; LeBoeuf et al.,
<xref rid="B73" ref-type="bibr">2016</xref>
) may thus modify food choices of foragers. Adjusting protein and carbohydrate intake in ants may affect nestmate recognition (Liang and Silverman,
<xref rid="B74" ref-type="bibr">2000</xref>
; Buczkowski et al.,
<xref rid="B19" ref-type="bibr">2005</xref>
), social immunity (Kay et al.,
<xref rid="B65" ref-type="bibr">2014</xref>
), and colony behavior (Kay et al.,
<xref rid="B67" ref-type="bibr">2010</xref>
,
<xref rid="B66" ref-type="bibr">2012</xref>
). However, we do not know how nutritional interactions affect forager monoamine levels and behavior. 5-HT underlies a dietary switch toward foods with higher protein content in fruit flies (Vargas et al.,
<xref rid="B137" ref-type="bibr">2010</xref>
), and OA and DA levels influence individual and social control of feeding in some ants (Wada-Katsumata et al.,
<xref rid="B138" ref-type="bibr">2011</xref>
). Nutritional ecology varies across social insect clades and may significantly impact monoamine levels and trophic behavior.</p>
</sec>
<sec id="s4-4">
<title>Ligand and Receptor Coevolution</title>
<p>Biogenic amine receptor distribution in insect brains has been characterized primarily in fruit flies and honey bees (Blenau et al.,
<xref rid="B13" ref-type="bibr">1998</xref>
; Monastirioti,
<xref rid="B84" ref-type="bibr">1999</xref>
; Blenau and Thamm,
<xref rid="B12" ref-type="bibr">2011</xref>
; Sinakevitch et al.,
<xref rid="B119" ref-type="bibr">2011</xref>
). Receptor duplication has occurred throughout evolution and the same small number of monoamines appear to have been co-opted for use as ligands for duplicated receptors (Hauser et al.,
<xref rid="B55" ref-type="bibr">2006</xref>
). There are typically several types of receptors for each monoamine, which may lead to different regulatory mechanisms. For example, knocking out the 5-HT receptor d5-HT1A influences sleep in fruit flies (Yuan et al.,
<xref rid="B143" ref-type="bibr">2006</xref>
), whereas overexpression of receptor d5-HT1B reduces the ability to phase-shift in response to light cues (Yuan et al.,
<xref rid="B144" ref-type="bibr">2005</xref>
).</p>
<p>Receptor duplication and adaptation appears to have evolved before the divergence of fruit flies and honey bees, suggesting that solitary and social insects share common monoamine receptors (Hauser et al.,
<xref rid="B55" ref-type="bibr">2006</xref>
; Bauknecht and Jékely,
<xref rid="B9" ref-type="bibr">2017</xref>
). If ligands, receptors, and downstream regulatory mechanisms are highly conserved across species, how have biogenic amine circuits evolved to control derived social behaviors? Monoamines may have species-specific effects on neural circuits, giving rise to different downstream regulatory effects and thus variable roles in modulating behavior. Activation of the DA receptor DopR1 increased stress-induced hyperactivity and modulated circadian-dependent activity through different neural circuits in fruit flies (Lebestky et al.,
<xref rid="B71" ref-type="bibr">2009</xref>
). Social insects may have evolved distinct neural circuits to regulate social behaviors using the same signaling molecules as solitary species. Exploring biogenic amine receptors and downstream regulatory pathways involved in insect behavior and derived social functions will advance our understanding of how the eusocial insect brain evolved perceptual and cognitive capacities in association with sociality.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>Broader sampling is required to gain phylogenetic insight into the evolution of aminergic control systems. Determining patterns of conservation and/or diversification of aminergic regulatory mechanisms of social behavior will benefit from studies of insect genera that include solitary and eusocial species. Despite the widespread activity of biogenic amines, functional patterns appear. 5-HT may control energy expenditure through feeding behavior and circadian rhythms, DA regulates fertility, thus modulating task performance in eusocial species, and OA modulates appetitive learning associated with feeding and nestmate recognition. Advances in epigenetics (Libbrecht et al.,
<xref rid="B75" ref-type="bibr">2016</xref>
), neurogenetics (Friedman and Gordon,
<xref rid="B500" ref-type="bibr">2016</xref>
), and the integration of sociobiology and neurochemistry (Kamhi and Traniello,
<xref rid="B63" ref-type="bibr">2013</xref>
) will aid in future research.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>JFK, SA and JFAT compiled literature. SA performed statistical analyses and created associated figures, and CSM created the phylogenetic presentation of aminergic control of behavior. JFK, SA and JFAT prepared drafts of the manuscript. All authors contributed to the conception of the perspective, analysis and synthesis of material, manuscript revision and gave final approval for publication.</p>
</sec>
<sec id="s7">
<title>Conflict of Interest Statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer VM declared a past collaboration with one of the authors CSM to the handling Editor.</p>
</sec>
</body>
<back>
<ack>
<p>Andrew Hoadley and Dr. Alfonso Pérez-Escudero commented on the manuscript, and Dr. Iulian Ilies gave helpful statistical advice. This work was supported by a Marie Skłodowska-Curie Individual Fellowship (funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. BrainiAnts-Project 660976) to SA, NSF grant IOS 1354193 to CSM, and NSF grant IOS 1354291 to JFAT. JFK was supported by an Australian Research Council Discovery Project grant (DP150101172).</p>
</ack>
<sec sec-type="supplementary material" id="s8">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at:
<ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fnsys.2017.00074/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fnsys.2017.00074/full#supplementary-material</ext-link>
</p>
<supplementary-material content-type="local-data" id="SM1">
<media xlink:href="Table_1.pdf">
<caption>
<p>Click here for additional data file.</p>
</caption>
</media>
</supplementary-material>
</sec>
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