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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2022.883265</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Thermal Fluctuations Yield Sex-Specific Differences of Ingestion Rates of the Littoral Mysid <italic>Neomysis integer</italic>
</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hennigs</surname>
<given-names>Laura M.</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1644054"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bergunder</surname>
<given-names>Konstanze</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1711549"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sperfeld</surname>
<given-names>Erik</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1745904"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wacker</surname>
<given-names>Alexander</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/999909"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Animal Ecology, Zoological Institute and Museum, University of Greifswald</institution>, <addr-line>Greifswald</addr-line>, <country>Germany</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Christopher Edward Cornwall, Victoria University of Wellington, New Zealand</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jonathan Y.S. Leung, University of Adelaide, Australia; Kaitlyn Lowder, The Ocean Foundation, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Laura M. Hennigs, <email xlink:href="mailto:laura.hennigs@uni-greifswald.de">laura.hennigs@uni-greifswald.de</email>; Konstanze Bergunder, <email xlink:href="mailto:konstanze.bergunder@uni-greifswald.de">konstanze.bergunder@uni-greifswald.de</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Global Change and the Future Ocean, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>883265</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Hennigs, Bergunder, Sperfeld and Wacker</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Hennigs, Bergunder, Sperfeld and Wacker</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Shallow aquatic environments are characterized by strong environmental variability. For ectotherms, temperature is the main driver of metabolic activity, thus also shaping performance. Ingestion rates in mysids are fast responses, influenced by metabolic and behavioral activity. We examined ingestion rates of the mysid <italic>Neomysis integer</italic>,&#xa0;collected in the Baltic Sea, after one-week exposure to different constant and fluctuating temperature regimes&#xa0;(5, 10, 15, 20&#xb0;C and 9 &#xb1; 5, 14 &#xb1; 5&#xb0;C, respectively).&#xa0;To investigate possible differences between sexes, thermal performance curves (TPCs) were established for female and male mysids&#xa0;based on ingestion rates measured at constant temperatures. TPCs of ingestion rates at constant temperatures differed between sexes, with female mysids showing a higher total ingestion rate as well as a higher thermal optimum compared to male mysids. Females showed reduced ingestion rates when exposed to fluctuating temperatures around their thermal optimum, whereas ingestion of male mysids was not reduced when exposed to fluctuating temperatures. The observed sex-specific differences might be related to potentially higher lipid and energy demands of the females.&#xa0;We suggest future studies should investigate males and females to improve our understanding&#xa0;about impacts of environmental variability on natural populations.</p>
</abstract>
<kwd-group>
<kwd>nonlinear averaging</kwd>
<kwd>fluctuations</kwd>
<kwd>variable environments</kwd>
<kwd>thermal performance curves</kwd>
<kwd>sex-specific effects</kwd>
<kwd>time-dependent effects</kwd>
<kwd>brackish Mysida</kwd>
</kwd-group>
<contract-sponsor id="cn001">Universit&#xe4;t Greifswald<named-content content-type="fundref-id">10.13039/501100018934</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="9"/>
<word-count count="04460"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Natural environments are characterized by variability at various temporal and spatial scales. Variability of abiotic factors in shallow brackish habitats can occur as fluctuations in temperature, salinity, nutrients, light availability, oxygen, and pH (<xref ref-type="bibr" rid="B3">Boyd &amp; Hutchins, 2012</xref>; <xref ref-type="bibr" rid="B11">Franz et&#xa0;al., 2019</xref>). Variability is induced by various processes, such as seasons, day-night cycles, radiation, tides, currents, wind, and up- and downwelling, or even by the biological activity of organisms (<xref ref-type="bibr" rid="B8">Feely et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B14">Hurd et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B6">Cornwall et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B35">Saderne et&#xa0;al., 2013</xref>). The temporal scales at which variability affects environmental conditions range from seconds/minutes over days up to months (e.g. <xref ref-type="bibr" rid="B12">Gunderson et&#xa0;al., 2016</xref>), and are especially important in relation to the timescale organisms experience them (<xref ref-type="bibr" rid="B16">Jackson et&#xa0;al., 2021</xref>).</p>
<p>Temperature is the primary driver of metabolic rates in ectotherms, thus affecting both physiological and fitness traits of marine ectotherms.&#xa0;An increase in temperature accelerates most physiological processes within tolerance limits (<xref ref-type="bibr" rid="B27">Newell and Branch, 1980</xref>). Traditionally, the performance of ectotherms at different temperatures is determined by exposing organisms to constant temperature treatments along a thermal gradient (<xref ref-type="bibr" rid="B13">Huey and Stevenson, 1979</xref>; <xref ref-type="bibr" rid="B37">Schulte et&#xa0;al., 2011</xref>). From this, thermal performance curves (TPCs) can be deduced that may vary in shape depending on the measured trait, but performance usually peaks around a thermal optimum, followed by a rapid decline (<xref ref-type="bibr" rid="B7">Dowd et&#xa0;al., 2015</xref>). Different nonlinear mathematical models have been used to fit the thermal performance data, ranging from negative quadratic to more complex functions (<xref ref-type="bibr" rid="B1">Angilletta, 2006</xref>). Such TPCs and the mathematical principle of nonlinear averaging, often also known as Jensen&#x2019;s Inequality (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Box 1</bold>
</xref>; <xref ref-type="bibr" rid="B17">Jensen, 1906</xref>; <xref ref-type="bibr" rid="B34">Ruel and Ayres, 1999</xref>), can be used to predict performance in variable environments if time-dependent effects do not play a large role. For instance, population growth rates of a green alga under fluctuating temperatures could be sufficiently predicted by non-linear averaging using a TPC measured at constant temperatures (<xref ref-type="bibr" rid="B2">Bernhardt et&#xa0;al., 2018</xref>). Another study on the bivalve <italic>Mytilus</italic>, combining two experiments at different time scales, could predict long-term performance at fluctuating temperatures on the basis of short-term functioning (feeding) measured at constant temperatures using nonlinear averaging&#xa0; (<xref ref-type="bibr" rid="B40">Vajedsamiei et&#xa0;al., 2021</xref>). These studies also confirm the theory based on Jensen&#x2019;s Inequality that performance is smaller in fluctuating compared to constant temperatures (of the same mean) when fluctuations range in the concave part of the generally non-linear, unimodal TPC (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Box 1</bold>
</xref>; <xref ref-type="bibr" rid="B17">Jensen, 1906</xref>).</p>
<p>Despite these examples of successfully using Jensen&#x2019;s Inequality to predict performance in fluctuating environments, limitations of this method have been described. <xref ref-type="bibr" rid="B20">Koussoroplis et&#xa0;al. (2019)</xref> showed that non-linear averaging is suitable only at particular fluctuation frequencies to predict effects of resource variability. Additionally, duration and order of exposure to temperature events can affect ectotherm performance (<xref ref-type="bibr" rid="B18">Kingsolver et&#xa0;al., 2015</xref>), as well as other time-dependent effects, such as stress, acclimation, compensation, use of reserves, or the interplay among several (co-)varying factors (<xref ref-type="bibr" rid="B19">Koussoroplis et&#xa0;al., 2017</xref>). Stress responses can be beneficial short-term but may reduce organism performance at longer time scales, whilst acclimation may amplify or buffer fluctuation effects, depending on the frequency of change in relation to acclimation speed of the organism (<xref ref-type="bibr" rid="B18">Kingsolver et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Koussoroplis et&#xa0;al., 2017</xref>). Predicting the direction of time-dependent effects and differentiating between time-dependent effects and Jensen&#x2019;s Inequality is still a challenge (<xref ref-type="bibr" rid="B18">Kingsolver et&#xa0;al., 2015</xref>).</p>
<p>For the next decades, extreme events like storms, heavy precipitation or marine heatwaves are predicted to occur with increasing magnitude and frequency (<xref ref-type="bibr" rid="B15">IPCC, 2021</xref>). This will change established variability patterns of temperature, but the effects on organisms are largely unexplored. Therefore, there is a need to incorporate effects of fluctuations when studying species&#x2019; functioning and performance in a changing world with variability (<xref ref-type="bibr" rid="B41">Vasseur et&#xa0;al., 2014</xref>). Fluctuating temperature showed substantial effects on the performance of marine organisms (<xref ref-type="bibr" rid="B2">Bernhardt et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B40">Vajedsamiei et&#xa0;al., 2021</xref>), which can differ between species depending on the shape of the TPC and whether the thermal mean is on the convex, concave or linear part of the TPC. For instance, <xref ref-type="bibr" rid="B26">Mor&#xf3;n Lugo et&#xa0;al. (2020)</xref> observed decreased feeding of the sea star <italic>Asterias rubens</italic> under warming and an additional increased stress response under thermal fluctuation. In contrast, feeding of the crab <italic>Hemigrapsus takanoi</italic> was unaffected by thermal fluctuations. This suggests that thermal fluctuations have been situated in the linear part of <italic>H. taganoi</italic>&#x2019;s TPC, leading to no effect, whereas they have been situated in the concave part of <italic>A. rubens</italic>&#x2019;. Whether responses to fluctuating temperatures also differ within aquatic species, e.g. amongst sexes, genotypes or ontogenetic stages, remains to be explored. In particular, we are not aware of any study investigating sex-specific differences in fluctuation effects on performance of marine invertebrates so far. However, if sex-specific differences in response to changing temperature regimes exist, changes in the sex ratio and thus to consequences for population dynamics and ultimately food web functioning are expected. To fill this knowledge gap, we investigate the effect of thermal fluctuations on the performance of male and female <italic>Neomysis integer</italic> as important littoral mysid species of Baltic Sea food webs.</p>
<p>We collected male and female mysids from a brackish estuary of&#xa0;the Baltic Sea and measured their ingestion rates after exposing them to different constant and fluctuating temperatures in the laboratory. Here, ingestion rate serves as&#xa0;an estimate of the organism&#x2019;s performance, combining short-term responses of&#xa0;its metabolic capacity and behavior that ultimately affect longer-term responses such as growth and reproduction. Based on the mysids&#x2019; responses measured at constant temperatures, a TPC was established (TPC<sub>Constant</sub>) and used to calculate a TPC that predicts performance under fluctuating temperature conditions (TPC<sub>Fluctuation</sub>) using non-linear averaging. We also measured ingestion rates of mysids that experienced daily temperature fluctuations and compared these responses to the two different TPC types. We hypothesize that ingestion rates show a unimodal response across the temperature gradient as typically observed for many other performance traits. We further hypothesize that ingestion rates of mature females should be higher than those of males as mature females require more energy for egg production. Since metabolic rates, and thus the energy demand of <italic>N. integer</italic>,&#xa0;are higher in warmer temperatures (<xref ref-type="bibr" rid="B45">Weisse and Rudstam 1989</xref>, <xref ref-type="bibr" rid="B9">Fockedey et&#xa0;al., 2006</xref>), we expect more pronounced differences in females&#x2019; and males&#x2019; energy demands, and consequently ingestion rates, at warmer temperatures. We hypothesize lower ingestion rates of mysids that experienced temperature fluctuations compared to constant temperatures based on Jensen&#x2019;s Inequality principle, which predicts lower mean performance in fluctuating environments within the concave range of the TPC. Any deviation from the prediction based on Jensen&#x2019;s Inequality (i.e., our TPC<sub>Fluctuation</sub>), whether positive or negative, will point to effects of biological processes, such as stress responses or short-term acclimation.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>The Mysid <italic>Neomysis integer</italic> </title>
<p>Mysids are an important component in the food web of coastal zones, linking benthic and pelagic systems by nutrient exchange and biomass transfer (<xref ref-type="bibr" rid="B31">Roast et&#xa0;al., 1998</xref>). They can switch between two feeding modes (suspension and raptorial feeding), allowing them to feed on detritus and phytoplankton, but also to actively select zooplankton (<xref ref-type="bibr" rid="B44">Viitasalo and Rautio, 1998</xref>). In turn, they serve as a protein-rich (&gt;70% of dry weight, <xref ref-type="bibr" rid="B29">Raymont et&#xa0;al., 1968</xref>) food source for higher trophic levels. We used <italic>Neomysis integer</italic> Leach, 1814 (Mysidacea: mysidae) in our experiments. <italic>N. integer</italic> occurs in the hyperbenthic zones of estuaries and is also abundant in shallow coastal waters of the Baltic Sea&#xa0; (<xref ref-type="bibr" rid="B25">Margo&#xf1;ski and Maciejewska, 1999</xref>). In estuaries and brackish water systems, such as the Greifswalder&#xa0;Bodden, thermal variability occurs on both daily and seasonal scales (<xref ref-type="bibr" rid="B38">Seifert, 1938</xref>; <xref ref-type="bibr" rid="B36">Schiewer, 2008</xref>).</p>
</sec>
<sec id="s2_2">
<title>Collection and Laboratory Conditions</title>
<p>
<italic>N. integer</italic> were collected at water depths &lt;0.5&#xa0;m in a shallow bay (coordinates: 54.097495, 13.455123) of the Greifswalder&#xa0;Bodden, in the southwest of the Baltic Sea on 04<sup>th</sup> May 2021. At collection, the water temperature was 11.3&#xb0;C and the salinity was 7.5 psu. The bay is very shallow (&lt;5&#xa0;m), making it likely that mysids can experience strong thermal variability at short time scales. To avoid acute stress responses, especially in the warmer temperature treatments of the experiment, 150 mysids were kept in a climate chamber at constant 15&#xb0;C for the next 16 days. Mysids stayed in aerated 40 L-aquaria and were fed ad libitum with freshly-hatched <italic>Artemia salina</italic> nauplii and fish pellets (MultiFit). The culture medium consisted of a 50:50% mixture of artificial seawater (Tropic Marin Pro-Reef Salt) and filtered (0.2 &#xb5;m)&#xa0;water from the sample site. The salinity was set to 10 psu, somewhat higher than the ambient value, to establish a reference for future experiments and for comparative purposes with other experimental studies (e.g. <xref ref-type="bibr" rid="B32">Roast et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B33">Roast et&#xa0;al., 2000</xref>). At least 50% of this culture medium was exchanged every 3-4 days. The light regime in the climate chamber and during experiments was set to a 12:12 h dark:light photoperiod.</p>
</sec>
<sec id="s2_3">
<title>Temperature Treatments</title>
<p>Before the ingestion measurements, mysids were exposed simultaneously for 7 days to 4 constant temperature treatments and to 2 fluctuating temperature treatments (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). They were kept in 6 L-aquaria placed in different climate cabinets under the respective treatment temperature (1 climate cabinet per treatment) and fed ad libitum with freshly-hatched <italic>A. salina</italic> nauplii. Mysids in constant treatments were kept on 5 (&#x2642; n = 13; &#x2640; n = 4), 10 (&#x2642; n = 15; &#x2640; n = 2), 15 (&#x2642; n = 5; &#x2640; n = 1), or 20&#xb0;C (&#x2642; n = 3; &#x2640; n = 10), whereas mysids in the two fluctuating treatments experienced 9 &#xb1; 5&#xb0;C (&#x2642; n = 12; &#x2640; n = 5) and 14 &#xb1; 5&#xb0;C (&#x2642; n = 11; &#x2640; n = 6) with a frequency of once per day (see <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> for shape of the temperature fluctuation profile). The amplitude of &#xb1; 5&#xb0;C was chosen to elicit a response and is likely larger than what the animals would experience on a diurnal basis in the environment. Highly controllable and precise climate cabinets were used (&#xb1; 0.5 Kelvin) to avoid potential differences caused by cabinet identity.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Scheme of the experimental set-up and time schedule. Mysids were exposed to laboratory conditions for 16 days at constant 15&#xb0;C before they were randomly distributed and exposed to the treatment temperature regimes. For the ingestion experiment, mysids were placed individually in beakers containing 30 <italic>Artemia</italic> nauplii. After 1.5&#xa0;h, mysids were removed and remaining <italic>Artemia</italic> were counted for the calculation of the ingestion rates (<italic>Artemia</italic>/mysid/hour).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-883265-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Schematic figure showing how to predict ingestion rates at&#xa0;fluctuating conditions on the basis of ingestion rates measured at constant temperatures. References to and explanations for labels <bold>(A&#x2013;F)</bold> are given in the main text.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-883265-g002.tif"/>
</fig>
</sec>
<sec id="s2_4">
<title>Ingestion Rate Measurements</title>
<p>Vivid <italic>N. integer</italic> were starved for one day prior to the measurements of ingestion rates (<xref ref-type="bibr" rid="B23">Lind&#xe9;n and Kuosa, 2004</xref>). Ingestion rates of <italic>N. integer</italic> individuals from both the constant and fluctuating treatments were measured in the respective constant mean temperatures of 5, 10, 15, and 20&#xb0;C, and in case of the fluctuating treatments when temperature was close to the respective mean value. One climate cabinet was used for each constant mean temperature. Ingestion rates of mysids from the fluctuating treatments were measured in the same climate cabinets as ingestion rates of mysids from the respective constant temperature treatment to ensure comparability. For the measurements,&#xa0;<italic>N. integer</italic> were placed individually in small beakers containing 50&#xa0;ml of the culture medium described above at an initial food density of 30&#xa0;A<italic>. salina</italic> nauplii. After 1.5&#xa0;h, <italic>N. integer</italic> individuals were removed and stored in ethanol for later sex and length determination. The remaining <italic>A. salina</italic> nauplii were counted, and&#xa0;ingestion rates per mysid per hour were calculated (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The sex of the mysids was identified based on sexual characteristics using a stereo-microscope. All females had a developed marsupium. Body length (from the base of eyestalks to the end of the last abdominal segment, excluding uropods and telson; <xref ref-type="bibr" rid="B10">Fockedey et&#xa0;al., 2005</xref>) was determined from photographs using the software ImageJ (mean body length &#xb1; SD, females: 11.11 &#xb1; 1.65&#xa0;mm, males: 9.46 &#xb1; 0.87&#xa0;mm). Since all mysids used in the experiment were adults and were sampled in May, i.e. at the beginning of the growing season providing ample of food, we expected all individuals being in a reproductive state.</p>
</sec>
<sec id="s2_5">
<title>Data Analyses</title>
<p>Data analyses were performed in R version 4.0.2 (<xref ref-type="bibr" rid="B30">R Core Team, 2020</xref>). Individual ingestion rates at constant temperatures were analyzed&#xa0;using Analysis of Covariance (ANCOVA) with a negative quadratic function of temperature as continuous independent variable and sex of animals as factor. Preliminary inspection of the data revealed that our data were distributed rather in the upper part of the TPC above a potential inflection point where the second derivative of the TPC is always negative, i.e. the concave downward part of the TPC. For this region, a negative quadratic function is a reasonable simplification and fits the typical unimodal responses in ectotherm TPCs (<xref ref-type="bibr" rid="B1">Angilletta, 2006</xref>). The full model was simplified based on&#xa0;AIC using the R function <italic>step()</italic>. A potential decrease of the ingestion rates measured under fluctuating temperatures was tested against the performance prediction of the ANCOVA for the respective constant temperature with a&#xa0;one-sided, one sample t-test. We also tested for any deviation from the performance predicted under fluctuating temperature by performing a two-sided, one sample t-test.</p>
<p>To calculate ingestion rates predicted at fluctuating temperature regimes, we used the deviations of the actually realized temperatures (measured in the climate cabinet) from the mean temperature of the 9 &#xb1; 5&#xb0;C fluctuation treatment. This treatment was chosen exemplary since the realized temperature deviations from the mean in the 14&#xa0;&#xb1; 5&#xb0;C treatment were very similar and resulted in similar calculated ingestion rates at the end. In detail, we conducted the following steps (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>):</p>
<sec id="s2_5_1">
<title>Preparation of Simulated Temperature Data</title>
<list list-type="simple">
<list-item>
<p>1.) The temperature fluctuation regime realized in the 9 &#xb1; 5&#xb0;C treatment&#xa0;was logged every 5&#xa0;min during the experiment (Onset, HOBO Pendant logger). From this temperature profile, the realized mean temperature <inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mover accent="true">
<mml:mi>T</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> was calculated. <inline-formula>
<mml:math display="inline" id="im2">
<mml:mover accent="true">
<mml:mi>T</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
</mml:math>
</inline-formula> was subtracted from every single value of the realized temperature profile to obtain deviations from the mean temperature&#xa0;across time in the fluctuation regime.</p>
</list-item>
<list-item>
<p>2.) A thermal gradient ranging from 0 to 25&#xb0;C in increments of 0.1&#xb0;C steps was simulated. The single values of this gradient were used as simulated mean temperatures <inline-formula>
<mml:math display="inline" id="im3">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>n</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="true">&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> for the predictions of ingestions rates under fluctuating temperature (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2F</bold>
</xref>).</p>
</list-item>
<list-item>
<p>3.) To each of these <inline-formula>
<mml:math display="inline" id="im4">
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>n</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="true">&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>, we added the&#xa0;deviations across time&#xa0;which were calculated in step 1. This procedure provided simulated fluctuating temperature profiles with the same deviations from the mean temperature as in our experimental treatments, but for all <inline-formula>
<mml:math display="inline" id="im5">
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>n</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="true">&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> along the simulated thermal gradient (0 to 25&#xb0;C).</p>
</list-item>
</list>
</sec>
<sec id="s2_5_2">
<title>Calculation of Ingestion Rates Predicted at Fluctuating Temperature</title>
<list list-type="simple">
<list-item>
<p>4.) For every temperature of each of these temperature fluctuation profiles (cf. <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>), we calculated the predicted instantaneous performance <italic>g</italic>(<italic>T</italic>) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>, lower plot</xref>), based on the TPC<sub>Constant</sub>,&#xa0;over time in steps of every 5 mins, <italic>g</italic>(<italic>t</italic>)  (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>).</p>
</list-item>
<list-item>
<p>5.) From these predicted values across&#xa0;the temperature fluctuation regime, we calculated the mean ingestion rate over time (<inline-formula>
<mml:math display="inline" id="im6">
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:mi>g</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo stretchy="true">&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2E</bold>
</xref>). The <inline-formula>
<mml:math display="inline" id="im7">
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:mi>g</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mi>t</mml:mi>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo stretchy="true">&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula>, was calculated for each <inline-formula>
<mml:math display="inline" id="im8">
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>n</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="true">&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
</mml:math>
</inline-formula> along the simulated thermal gradient described in step 2 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2F</bold>
</xref>). The resulting mean ingestion rates under fluctuating temperature <inline-formula>
<mml:math display="inline" id="im9">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mover accent="true">
<mml:mrow>
<mml:mi>g</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mi>T</mml:mi>
<mml:mi>n</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo stretchy="true">&#xaf;</mml:mo>
</mml:mover>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula>, were added as TPC<sub>Fluctuation</sub> to the figure showing&#xa0;also the TPC<sub>Constant</sub>.</p>
</list-item>
</list>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Sex-Specific Ingestion Rates at&#xa0;Constant Temperatures</title>
<p>Under constant temperature conditions, ingestion rates of <italic>N. integer</italic> showed a unimodal relationship to temperature for both sexes (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>), characterizing a TPC<sub>Constant</sub> that can be well described by a negative quadratic function (ANCOVA; F<sub>1,48</sub> = 5.02, p = 0.030). The female TPC<sub>Constant</sub> reached a higher maximum than the male TPC<sub>Constant</sub> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>, sex: F<sub>1,48</sub> = 5.44, p = 0.024), and the thermal optimum (14.1&#xb0;C and 10.7&#xb0;C for females and males, respectively) was shifted towards higher temperatures (interaction Temp &#xd7; Sex, F<sub>1,48</sub> = 9.03, p = 0.004).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Sex-specific ingestion rates of <italic>N. integer</italic> exposed to <bold>(A)</bold> constant temperatures (filled symbols, mean &#xb1; SE) and <bold>(B, C)</bold> fluctuating temperature conditions (open symbols). <bold>(A)</bold> TPC<sub>Constant</sub> for females (red squares) and males (blue circles) were calculated based on estimates of an ANCOVA model with a negative quadratic function (see table inlet) fitted through ingestion rates measured at constant temperature. <bold>(B, C)</bold> Ingestion rates predicted for fluctuating temperature conditions (TPC<sub>Fluctuation</sub>) were calculated using non-linear averaging based on the TPCs<sub>Constant</sub>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-883265-g003.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Thermal Fluctuation Effect on Sex-Specific Ingestion Rates</title>
<p>The measured ingestion rates of female mysids exposed to the 14&#xa0;&#xb1; 5&#xb0;C regime (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>, open symbol), close to their thermal optimum, were lower than the ingestion value predicted by the TPC<sub>Constant</sub> (one-sided t-test, p = 0.018), but did not deviate positively or negatively from the value of the TPC<sub>Fluctuation</sub> (two-sided t-test, p = 0.11). For female mysids exposed to the 9 &#xb1; 5&#xb0;C regime, ingestion rates neither decreased compared to the value of the TPC<sub>Constant</sub> (one-sided t-test, p = 0.11) nor did they deviate from the corresponding TPC<sub>Fluctuation</sub> value (two-sided t-test, p = 0.72). In contrast to females, the ingestion rates of male mysids exposed to fluctuating temperatures (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>) were&#xa0;very similar to the values predicted by the TPC<sub>Constant</sub> for both corresponding temperatures (9 and 14&#xb0;C, one-sided t-tests, p &gt; 0.63) and did also not deviate from the two values of the TPC<sub>Fluctuation</sub> (two-sided t-tests, p &gt; 0.10).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<sec id="s4_1">
<title>Summary of Results</title>
<p>Our study showed first results that temperature fluctuations can affect ingestion rates, a process influenced by metabolism and behavior of marine crustaceans, and that differences in responses even occur between females and males of the same population. In our case, we found evidence for differences in sex-specific ingestion rates of <italic>N. integer</italic>. At constant temperatures, the thermal optimum of ingestion rates based on fitted TPCs was higher for females than for males, and at warmer temperatures, females showed higher ingestion rates than males. Temperature fluctuations of &#xb1; 5&#xb0;C around the observed thermal optimum led to reduced ingestion rates for females, but not for males, when compared to ingestion rates observed at constant temperature.</p>
</sec>
<sec id="s4_2">
<title>Sex-Specific Ingestion Rates Under Constant Temperatures</title>
<p>In our study, ingestion rates of female and male mysids show a unimodal pattern across the tested temperature range, reflecting the expected non-linear nature of TPCs (e.g. <xref ref-type="bibr" rid="B1">Angilletta, 2006</xref>; <xref ref-type="bibr" rid="B7">Dowd et&#xa0;al., 2015</xref>). Whilst the TPC<sub>Constant</sub> for females and males showed similar responses to lower temperatures, sex-specific differences were apparent at higher temperatures (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Female mysids showed both a higher thermal optimum and higher total ingestion at the optimum temperature compared to males. <xref ref-type="bibr" rid="B39">Simmons &amp; Knight (1975)</xref> described sex-specific differences in performance for the mysid <italic>Neomysis intermedia</italic> under various temperature and salinity that were weight-dependent. The respiratory response of <italic>N. intermedia</italic> was also&#xa0;dependent on the status of gravidity (<xref ref-type="bibr" rid="B39">Simmons and Knight, 1975</xref>). Similarly, <xref ref-type="bibr" rid="B39">Simmons and Knight (1975)</xref> indicated linkages between the respiration of mysids and the level of reproduction. The higher ingestion rates of females observed at higher temperatures in our study could be therefore related to the reproductive status of the used individuals. For females, such a relation between a higher ingestion and a higher energy demand for reproduction, in form of glycogen, has also been discussed for other marine invertebrates, such as the oyster <italic>Pinctada</italic> (<xref ref-type="bibr" rid="B4">Ch&#xe1;vez-Villalba et&#xa0;al., 2013</xref>). Further, <xref ref-type="bibr" rid="B46">Winkler and Greve (2002)</xref> found that mysids&#x2019; reproduction rates and growth factors for smaller females seem to be higher at 15&#xb0;C than at 10&#xb0;C, resulting&#xa0;in shorter intermoult periods, which could lead to higher energy demands and thus to higher ingestion rates at 15&#xb0;C compared to 10&#xb0;C, as observed in our study. In the context of reproduction, a higher lipid demand, necessary for gamete production, may have led to the observed higher&#xa0;thermal optimum of females and their higher total ingestion of <italic>Artemia</italic>. Support for this assumption arises from a previous study showing that ovigerous females of <italic>N. integer</italic> contained almost double the amount of lipids compared to males due to the lipid-rich eggs (<xref ref-type="bibr" rid="B24">Linford, 1965</xref>). The lipid content and the energy budget were dependent on the season and therefore also influenced by variations in prey and temperature (<xref ref-type="bibr" rid="B24">Linford, 1965</xref>; <xref ref-type="bibr" rid="B42">Verslycke and Janssen, 2002</xref>). The lipid amount also correlates with the wet weight of an animal, with sex-specific relative lipid concentrations (<xref ref-type="bibr" rid="B24">Linford, 1965</xref>). This may also have led to the observed higher ingestion rates of females compared to males in our study, as female <italic>N. integer</italic> were slightly larger than males. However, the relationship between ingestion rates and length in the different temperature treatments was neither significant for females nor for males (p&#xa0;&gt; 0.4). Alternatively, differences in ingestion rates between males and females may be influenced by differences in thermal tolerance. For instance, lower thermal tolerance in males compared to females may explain lower ingestion rates of males at higher temperatures. So far, however, nothing is known about sex-specific differences in thermal tolerance of mysids based on fitness-related traits such as growth rate or survival, making it difficult to draw conclusions about this option.</p>
<p>Similar to our observed ingestion rates for females, <xref ref-type="bibr" rid="B33">Roast et&#xa0;al. (2000)</xref> observed a significant increase of egestion rates for <italic>N.&#xa0;integer</italic> with increasing temperature up to 15&#xb0;C. In another study, <xref ref-type="bibr" rid="B32">Roast et&#xa0;al. (1999)</xref> found an interactive effect of temperature and sex on respiration, with males showing a higher oxygen consumption than females. Even though we also found a significant interaction between temperature and sex, our results showed the opposite pattern,&#xa0;with higher ingestion rates of females observed at higher temperature. However, <xref ref-type="bibr" rid="B32">Roast et&#xa0;al. (1999)</xref> did not measure feeding in their study, and therefore&#xa0;the direct link between respiration and feeding rates in <italic>N. integer</italic>&#xa0;remains unclear. In studies using the blue mussel <italic>Mytilus</italic>, it was shown that respiration and feeding are two different functional traits, which at times are decoupled from each other, suggesting that they should be compared with caution (<xref ref-type="bibr" rid="B40">Vajedsamiei et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s4_3">
<title>Females Are Negatively Affected by Thermal Fluctuations Around Their Optimum, Whilst Males Are Not</title>
<p>Ingestion rates of female <italic>N. integer</italic> exposed to temperature fluctuations around their optimum were lower than ingestion rates at constant temperature, but not lower than ingestion rates predicted under thermal fluctuations, suggesting females behaved as predicted by Jensen&#x2019;s Inequality. In contrast, ingestion rates of male mysids exposed to fluctuating temperatures were similar to the values of the TPC<sub>Constant</sub> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). This suggests that males are not affected by time-dependent effects of thermal fluctuations, whilst females were affected by such effects at their thermal optimum. Based on our current knowledge, we can only speculate that males instantaneously respond to the changing conditions and therefore show a TPC<sub>constant</sub>-predicted ingestion rate, while females deviate as they either are capable of cognitively integrating their feeding behavior across the temperature fluctuations or suffer from some time-dependent effect, such as a stress-related response.</p>
<p>The longer-term thermal histories of females and males used in our study should be similar as <italic>N. integer</italic> lives in swarms (<xref ref-type="bibr" rid="B22">Lind&#xe9;n, 2007</xref>), and our animals were collected from the same swarm. Swarms might experience similar temperatures in the field, but could also show sex-dependent habitat preferences (<xref ref-type="bibr" rid="B43">Vesakoski et&#xa0;al., 2008</xref>). The extent of thermal variability the mysids actually experience in the study region, in particular in high spatial and temporal resolution, is a matter of further investigations.</p>
</sec>
<sec id="s4_4">
<title>Perspectives and Conclusions</title>
<p>There are many different types of thermal variability in natural environments. Thermal fluctuations are not as regular or periodic as in laboratory studies, but rather stochastic (e.g. <xref ref-type="bibr" rid="B28">Pansch et&#xa0;al., 2018</xref>) and vertical or horizontal movements of mobile ectotherms can change the amplitudes and frequencies of fluctuations they experience (<xref ref-type="bibr" rid="B20">Koussoroplis et&#xa0;al., 2019</xref>). Further complexity is also added by the interplay of temperature with other factors, such as acidification, hypoxia, food availability, that may all vary in time and space (<xref ref-type="bibr" rid="B6">Cornwall et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B5">Comeau et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B21">Koussoroplis and Wacker, 2016</xref>). Thus, there is a lot to learn about predicting ectotherm performance in naturally fluctuating multifactorial systems, especially in the context of changing variability patterns and frequencies of extreme events due to climate change. To our knowledge, this study is the first investigating a TPC for mysids&#x2019; ingestion rates under constant temperatures, and combining it with ingestion rates under fluctuating conditions. We observed differences in ingestion rates between females and males in warmer temperatures at constant conditions and that females responded to temperature fluctuations whilst males did not. Investigations on the underlying mechanisms, that may be related to the reproductive status or other physiological differences in females and males, are of considerable interest for future research. We further advise caution when using TPCs based on measurements in constant conditions to predict performance in fluctuating environments, since time-dependent effects such as stress-induced damage or compensation can influence the ectotherms&#x2019; responses at variable conditions. Since we observed differences in sex-specific ingestion rates within one species, we propose that future studies should put more emphasis on studying potential differences between female and male individuals of studied populations. This would allow a better understanding of variation observed in thermal performance curves and possible effects of fluctuating conditions, and is crucial for improved predictions of species&#x2019; performance under climate change.</p>
</sec>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>All authors contributed to conception and design of the study. LMH and KB acquired the data. All authors performed the statistical analysis. LMH and KB wrote the first draft of the manuscript. All authors contributed to manuscript revision, read, and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s8" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We thank Hamam&#xa0;Aflok for help in the laboratory and Christin Park who ensured that all laboratory work could be conducted in time and as planned. KB and LMH are associated with the DFG graduate college and Research Training Group (RTG 2010) &#x2018;Biological RESPONSEs to Novel and Changing Environments&#x2019;. We acknowledge support for the Article Processing Charge by the German Research Foundation and the Open Access Publication Fund of the University of Greifswald. We are grateful to the reviewers for their constructive comments which improved previous versions of the manuscript.</p>
</ack>
<sec id="s9" sec-type="supplementary-material">
<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/fmars.2022.883265/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2022.883265/full#supplementary-material</ext-link>
</p>
  <supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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