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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.2022.840353</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Light Spectrum Impacts on Growth, Molting, and Oxidative Stress Response of the Mud Crab <italic>Scylla paramamosain</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Shujian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1607250/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Shi</surname> <given-names>Ce</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/640731/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Migaud</surname> <given-names>Herve</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Song</surname> <given-names>Changbin</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mu</surname> <given-names>Changkao</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:href="http://loop.frontiersin.org/people/509762/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ye</surname> <given-names>Yangfang</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:href="http://loop.frontiersin.org/people/724070/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Chunlin</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:href="http://loop.frontiersin.org/people/555673/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ren</surname> <given-names>Zhiming</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Marine Economic Research Center, Donghai Academy, Ningbo University</institution>, <addr-line>Ningbo</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Key Laboratory of Applied Marine Biotechnology, Ningbo University, Chinese Ministry of Education</institution>, <addr-line>Ningbo</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Collaborative Innovation Center for Zhejiang Marine High-Efficiency and Healthy Aquaculture</institution>, <addr-line>Ningbo</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Institute of Aquaculture, University of Stirling</institution>, <addr-line>Stirling</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff5"><sup>5</sup><institution>Institute of Semiconductors, Chinese Academy of Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Valerio Matozzo, University of Padua, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Hanafiah Fazhan, Shantou University, China; Changhong Cheng, South China Sea Fisheries Research Institute (CAFS), China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ce Shi, <email>shice3210@126.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Aquatic Physiology, a section of the journal Frontiers in Marine Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>840353</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>01</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Chen, Shi, Migaud, Song, Mu, Ye, Wang and Ren.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Chen, Shi, Migaud, Song, Mu, Ye, Wang and Ren</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>An 8 weeks trial was performed to test the effects of light spectra [full-spectrum, violet (405 nm), blue (470 nm), cyan (500 nm), green (525 nm), yellow (570 nm), and red (625 nm)] on growth performance, molting, antioxidant capacity, stress response and expression of molting, and apoptosis-related genes in <italic>Scylla paramamosain</italic>. Results showed that spectrum had a significant effect on <italic>S. paramamosain</italic> physiology. Compared to blue light, crabs exposed to violet light had a significantly lower survival rate (79.5 &#x00B1; 3.6% vs. 94.9 &#x00B1; 3.6%), weight gain (49.2 &#x00B1; 5.4 vs. 67.6 &#x00B1; 6.7), molt frequency (4.2 &#x00B1; 0.2 vs. 4.5 &#x00B1; 0.1), and extended intermolt intervals between instar 1 and 2 stages (C1&#x2013;C2) (6.3 &#x00B1; 0.3 vs. 5.0 &#x00B1; 0.1 days). Expression of the molt-inhibiting hormone (<italic>mih</italic>) gene was upregulated in crabs reared under violet light. According to the regression analysis, maximum SGR would be at 449.97 nm. Crabs exposed to blue light also had lower melatonin levels than under full-spectrum and lower cortisol levels than violet and yellow groups. Regarding oxidative stress, crabs in full-spectrum had lower H<sub>2</sub>O<sub>2</sub> and MDA contents, however, no significant difference was found in total antioxidant capacity (T-AOC), superoxide dismutase (SOD), and catalase (CAT) in hepatopancreas from crabs under different spectra. Gene expression of <italic>hsp40</italic>, <italic>hsp70</italic>, <italic>hsp90</italic> were down-regulated in crabs exposed to the full-spectrum light group. Regarding apoptosis-related genes, <italic>bcl-2</italic> gene expression in crabs under cyan and the <italic>cox IV</italic> and <italic>caspase 3</italic> in green were upregulated, suggesting cyan light may inhibit, while green light may promote apoptosis. Taken together, these results suggest that blue or cyan light would promote growth performance, while full-spectrum light could reduce stress response in <italic>S. paramamosain</italic>.</p>
</abstract>
<kwd-group>
<kwd>light spectrum</kwd>
<kwd>molting</kwd>
<kwd>oxidative stress</kwd>
<kwd>apoptosis</kwd>
<kwd>mud crab</kwd>
</kwd-group>
<counts>
<fig-count count="10"/>
<table-count count="2"/>
<equation-count count="6"/>
<ref-count count="86"/>
<page-count count="14"/>
<word-count count="9138"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>The mud crab (<italic>Scylla paramamosain</italic>) is a marine decapod crustacean species which plays a significant commercial and ecological role in marine aquaculture. <italic>Scylla paramamosain</italic> is widely distributed and farmed in Indo-West-Pacific, including south and southeastern China. <italic>S. paramamosain</italic> has been the most productive marine crab species cultured in China since 2009, and its output reached 159, 433 t in 2020 (<xref ref-type="bibr" rid="B6">China FBOAMO, 2021</xref>). Nevertheless, due to the unreliability of the hatchery phase in aquaculture settings, the mud crab industry still highly relies on wild harvested mud crab juveniles, raising concerns over the sector&#x2019;s sustainability. Unreliable hatchery supply is mainly attributed to the lack of optimized and standardized husbandry protocols during early development leading to high mortality, and variable growth performances (<xref ref-type="bibr" rid="B3">Chen et al., 2021a</xref>).</p>
<p>Light, as an important environmental cue that influence growth performance, behavior, and physiology of aquatic animals (<xref ref-type="bibr" rid="B18">Gao et al., 2016a</xref>; <xref ref-type="bibr" rid="B68">Takahashi et al., 2018</xref>; <xref ref-type="bibr" rid="B50">Nasr et al., 2019</xref>; <xref ref-type="bibr" rid="B81">Yang et al., 2020</xref>), has three core elements, i.e., intensity, spectrum, and photoperiod. The visible spectrum is composed of short-wavelength (violet, 380&#x2013;440 nm and blue, 440&#x2013;485 nm), middle wavelengths (green 500&#x2013;565 nm and yellow, 565&#x2013;590 nm), and long-wavelengths (orange, 590&#x2013;625 nm and red, 625&#x2013;740 nm) (<xref ref-type="bibr" rid="B78">Wu et al., 2021</xref>). Unlike terrestrial animals, photic conditions experienced by aquatic animals can be highly variable and depend on water properties including plankton, suspended particles, dissolved organic substances, and water depth acting as a chromatic filter (<xref ref-type="bibr" rid="B47">Mukai, 2011</xref>; <xref ref-type="bibr" rid="B56">Peng et al., 2019</xref>). In aquatic animals, understanding the impact of light and specifically spectrum on key physiological functions is complex and poorly characterized when compared to other abiotic factors. Studies performed in fish showed that shorter wavelengths (blue and green) can promote larvae growth performance in Atlantic cod (<italic>Gadus morhua</italic>), turbot (<italic>Scophthalmus maximus</italic>), and European sea bass (<italic>Dicentrarchus labrax</italic>) (<xref ref-type="bibr" rid="B73">Villamizar et al., 2009</xref>; <xref ref-type="bibr" rid="B65">Sierra-Flores et al., 2016</xref>). In crustaceans, enhanced growth was reported in the giant freshwater prawn (<italic>Macrobrachium rosenbergii</italic>) when exposed to green as opposed to red light (<xref ref-type="bibr" rid="B76">Wei et al., 2021</xref>). However, specific growth rate (SGR) was enhanced in the Chinese shrimp <italic>Fenneropenaeus chinensis</italic> reared under natural light while SGR was suppressed under blue light (<xref ref-type="bibr" rid="B74">Wang et al., 2003</xref>). In shellfish, previous studies on abalone <italic>Haliotis discus</italic> have shown improved hatching and larvae growth under blue and green light (<xref ref-type="bibr" rid="B17">Gao et al., 2015</xref>) contrasting with positive effect of orange and red light reported on growth performance of juvenile <italic>H. discus</italic> (<xref ref-type="bibr" rid="B18">Gao et al., 2016a</xref>). Such contrasting results reported in the literature clearly illustrate the species and stage of development specific effects of spectrum on aquatic animals and most studies so far have been performed in fish.</p>
<p>The effect of light on aquatic vertebrate animals is thought to be mainly mediated through melatonin (N-acetyl-5-methoxy-tryptamine), the light perception hormone which is remarkably conserved across vertebrate phyla (<xref ref-type="bibr" rid="B11">Falc&#x00F3;n et al., 2010</xref>). In fish, studies have suggested that melatonin is involved in the circadian and seasonal entrainment of many essential physiological functions (<xref ref-type="bibr" rid="B12">Falc&#x00F3;n et al., 1992</xref>; <xref ref-type="bibr" rid="B54">Oliveira et al., 2007</xref>). However, light regulation of pineal melatonin production diverged in teleost species as a result of evolution and striking differences in spectral sensitivities were reported between species (<xref ref-type="bibr" rid="B45">Migaud et al., 2007a</xref>; <xref ref-type="bibr" rid="B72">Vera et al., 2010</xref>). In crustaceans, light perception and transduction has not been studied much and while melatonin is mainly secreted by the eyestalks, it has also been detected in the hemolymph and nervous systems (<xref ref-type="bibr" rid="B55">Pape et al., 2008</xref>; <xref ref-type="bibr" rid="B85">Zhang et al., 2018</xref>). Melatonin was reported to impact on a range of biological processes in crustaceans including glucose metabolism, oxidative stress, limb regeneration, and molting (<xref ref-type="bibr" rid="B61">Sainath and Reddy, 2010a</xref>,<xref ref-type="bibr" rid="B62">b</xref>; <xref ref-type="bibr" rid="B63">Sainath et al., 2013</xref>; <xref ref-type="bibr" rid="B20">Girish et al., 2015</xref>). A recent study from our laboratory showed melatonin levels in the eyestalks of <italic>S. paramamosain</italic> were significantly affected by light intensity (<xref ref-type="bibr" rid="B3">Chen et al., 2021a</xref>), however, light spectral effects remain unknown in the species.</p>
<p>Many biological functions (e.g., reproduction, metabolism, growth, behavior) and life transition events (e.g., spawning, hatching, metamorphosis, smoltification) in fish are regulated by environmental signals including light with strong relevant applications to the sector. In crustaceans, molting is particularly interesting as it directly controls the growth of the animals (<xref ref-type="bibr" rid="B35">Kobayashi, 2012</xref>; <xref ref-type="bibr" rid="B83">Yang et al., 2018</xref>). Crustaceans molting is mainly controlled by ecdysteroids and molt-inhibiting hormone (MIH) secreted by the Y-organs and the complex X-organ&#x2013;sinus gland (XO-SG) (<xref ref-type="bibr" rid="B27">Imayavaramban et al., 2007</xref>). The fundamental function of MIH is to suppress ecdysteroid biosynthesis to regulate molting (<xref ref-type="bibr" rid="B58">Qiao et al., 2018</xref>). Molting, and subsequently growth, in crab species are also regulated by many abiotic factors including temperature (<xref ref-type="bibr" rid="B84">Yuan et al., 2017</xref>), salinity (<xref ref-type="bibr" rid="B21">Gong et al., 2015</xref>), and light intensity (<xref ref-type="bibr" rid="B38">Li et al., 2011</xref>; <xref ref-type="bibr" rid="B3">Chen et al., 2021a</xref>). Previous studies indicated that light fluctuations from blue to green or yellow spectra could promote growth and molting frequency of <italic>L. vannamei</italic> (<xref ref-type="bibr" rid="B23">Guo et al., 2011</xref>). In contrast, the effect of light spectrum on mud crab molting remains little studied.</p>
<p>Oxidative stress is another critical function in animals which is impacted by external factors. The reactive oxygen species (ROS) such as superoxide anion radical (O<sup>2&#x2013;</sup>), hydroxyl radical (OH<sup>&#x2013;1</sup>), and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) are produced as a result of metabolism and immune defense response in cells (<xref ref-type="bibr" rid="B1">Bogdan et al., 2000</xref>; <xref ref-type="bibr" rid="B36">Kohen and Nyska, 2002</xref>). Excessive accumulation of ROS may result in oxidative stress, cellular damage, and ultimately compromise cell functions (<xref ref-type="bibr" rid="B24">Guo H. et al., 2013</xref>; <xref ref-type="bibr" rid="B25">Guo Z.-X. et al., 2013</xref>; <xref ref-type="bibr" rid="B5">Cheng et al., 2020</xref>). In response to ROS, animals have evolved various antioxidant enzymes such as superoxide dismutase (SOD), catalase (CAT), and peroxiredoxins (Prx) to counteract oxidation (<xref ref-type="bibr" rid="B4">Chen et al., 2021b</xref>). Light spectrum have been suggested to influence the antioxidant capacity of aquatic organisms as reported in abalone (<italic>Haliotis discus hannai</italic>) (<xref ref-type="bibr" rid="B19">Gao et al., 2016b</xref>), whiteleg shrimp (<italic>Penaeus vannamei)</italic> (<xref ref-type="bibr" rid="B14">Fei et al., 2020a</xref>), and turbot (<italic>Scophthalmus maximus</italic>) (<xref ref-type="bibr" rid="B78">Wu et al., 2021</xref>). Furthermore, as an end-product of lipid peroxidation, malondialdehyde (MDA) is used as an indicator of oxidative damage in organisms (<xref ref-type="bibr" rid="B40">Liu et al., 2011</xref>). Recent studies have demonstrated that ROS and the resulting oxidative stress play a pivotal role in activating apoptosis (<xref ref-type="bibr" rid="B29">Kannan and Jain, 2000</xref>). Apoptosis plays an essential role in removing the excess, damaged, necrotic, and potentially dangerous cells (<xref ref-type="bibr" rid="B79">Wyllie et al., 1980</xref>). The expression levels of apoptosis-related genes such as <italic>bcl-2</italic>, <italic>p53</italic>, and <italic>caspase 3</italic> can be used as biomarkers of tissue apoptosis. A recent study showed that exposure to dark condition suppressed apoptosis-related gene expression in <italic>Litopenaeus vannamei</italic> (<xref ref-type="bibr" rid="B14">Fei et al., 2020a</xref>). In addition, gene expression of <italic>bcl-2</italic>, <italic>p53</italic>, and <italic>cytochrome c</italic> in the hepatopancreas of <italic>L. vannamei</italic> was significantly reduced in shrimp reared under a full spectrum + UVA and full spectrum + UVB (<xref ref-type="bibr" rid="B15">Fei et al., 2020b</xref>).</p>
<p>In the present study, the Light Emitting Diodes (LED) were used to create seven different light spectra to investigate the effects of light spectrum on growth, molting, antioxidant capacity, and apoptosis-related gene expression in the mud crab <italic>S. paramamosain.</italic> The overall goal of this work is to identify optimal environmental conditions for <italic>S. paramamosain</italic> produced in land-based hatcheries and nurseries to boost juvenile outputs, performance and reduce the reliance of the sector on wild-harvested stocks.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Experimental Animal, Rearing Conditions, and Experimental Design</title>
<p>A total of 273 juvenile mud crab (Initial weight: 12.05 &#x00B1; 2.15 mg) were obtained from Choupijiang farm (Ningbo City, Zhejiang province, China) and transferred to the experimental tanks on the Meishan campus of Ningbo University. Crabs were randomly distributed into seven treatments in triplicates (13 crabs per replicate, 39 per treatment). Crabs were individually stocked in polypropylene containers (14.1 cm &#x00D7; 8.4 cm &#x00D7; 5.0 cm) with 750 mL of seawater. During the experiment, formulated diet with crude protein &#x2265; 40.0%, crude lipid &#x2265; 6.0%, and crude fiber &#x2264; 5.0% (Ningbo Tech-Bank Feed Co., Ltd., Ningbo, China) was given once daily at 17:00, and 100% rearing water was changed daily at 08:00 am. During the experiment, the water temperature was maintained at 26 &#x00B1; 1&#x00B0;C, salinity 24 &#x00B1; 1 ppt, ammonia and nitrite &#x003C; 0.5 mg L<sup>&#x2013;1</sup> (HACH, 2604545 and 2608345, respectively), and dissolved oxygen &#x003E; 6.0 mg L<sup>&#x2013;1</sup> (Proplus, YSI, Yellow Springs, Ohio, United States).</p>
<p>Seven LED lamps (Institute of Semiconductors, Chinese Academy of Sciences, Semiconductor Lighting R&#x0026;D Center) with specific narrow bandwidths were used in the experiment. The light intensity and light spectrum (<xref ref-type="fig" rid="F1">Figure 1</xref>) in each treatment were measured by a spectroradiometer (PLA-20 Plant Lighting Analyzer, Hangzhou, China). Peak and full width at half maximum (FWHM) wavelengths for the seven treatments were 634.4/233.4 nm (full-spectrum), 400.7/12.4 nm (Violet), 460.0/20.2 nm (Blue), 510.4/33.7 nm (Cyan), 518.5/34.1 nm (Green), 576.5/15.8 nm (Yellow), and 619.7/23.8 nm (Red), respectively. Systems were light proofed using black clothes to prevent light pollution between treatments. The light intensity was set at 1 W m<sup>&#x2013;2</sup> by adjusting dimmers and the distance between lamps and the water surface. The photoperiod was set as 12L:12D (photophase between 6:00 and 18:00).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The spectral composition of full-spectrum <bold>(A)</bold>, violet <bold>(B)</bold>, blue <bold>(C)</bold>, cyan <bold>(D)</bold>, green <bold>(E)</bold>, yellow <bold>(F)</bold>, and red <bold>(G)</bold> spectra LEDs on the water surface.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS2">
<title>Sampling and Data Calculations</title>
<p>The final weight (W<sub><italic>f</italic></sub>), carapace width (CW), carapace length (CL), and body height (BH) of all living crabs were measured after 24 h starvation at the end of the experiment (8 weeks). The hepatopancreas and eyestalks were collected and snap frozen in liquid nitrogen. Samples were stored at &#x2212;80&#x00B0;C for subsequent analysis.</p>
<p>The number of days between two consecutive molts was monitored as the molting interval. Survival rate, weight gain, SGR, molting interval, and molting frequency were calculated using the following equations:</p>
<disp-formula id="S2.Ex1"><mml:math display="block" id="M1"><mml:mrow><mml:mpadded width="+3.3pt"><mml:mi>Survival</mml:mi></mml:mpadded><mml:mpadded width="+3.3pt"><mml:mi>rate</mml:mi></mml:mpadded><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>SR</mml:mi><mml:mo>,</mml:mo><mml:mo>%</mml:mo><mml:mo rspace="5.8pt" stretchy="false">)</mml:mo></mml:mrow><mml:mo rspace="5.8pt">=</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi mathvariant="normal">N</mml:mi><mml:mmultiscripts><mml:mo>-</mml:mo><mml:mprescripts/><mml:mi mathvariant="normal">t</mml:mi><mml:none/></mml:mmultiscripts><mml:mi mathvariant="normal">N</mml:mi><mml:mmultiscripts><mml:mo stretchy="false">)</mml:mo><mml:mprescripts/><mml:mi mathvariant="normal">i</mml:mi><mml:none/></mml:mmultiscripts></mml:mrow><mml:mo>/</mml:mo><mml:mi mathvariant="normal">N</mml:mi><mml:mmultiscripts><mml:mo rspace="5.8pt">&#x00D7;</mml:mo><mml:mprescripts/><mml:mi mathvariant="normal">i</mml:mi><mml:none/></mml:mmultiscripts><mml:mn>100</mml:mn></mml:mrow></mml:math></disp-formula>
<disp-formula id="S2.Ex2"><mml:math display="block" id="M2"><mml:mrow><mml:mpadded width="+3.3pt"><mml:mi>Weight</mml:mi></mml:mpadded><mml:mpadded width="+3.3pt"><mml:mi>gain</mml:mi></mml:mpadded><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>WG</mml:mi><mml:mo>,</mml:mo><mml:mo>%</mml:mo><mml:mo rspace="5.8pt" stretchy="false">)</mml:mo></mml:mrow><mml:mo rspace="5.8pt">=</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi mathvariant="normal">W</mml:mi><mml:mmultiscripts><mml:mo>-</mml:mo><mml:mprescripts/><mml:mi mathvariant="normal">f</mml:mi><mml:none/></mml:mmultiscripts><mml:mi mathvariant="normal">W</mml:mi><mml:mmultiscripts><mml:mo stretchy="false">)</mml:mo><mml:mprescripts/><mml:mi mathvariant="normal">i</mml:mi><mml:none/></mml:mmultiscripts></mml:mrow><mml:mo>/</mml:mo><mml:mi mathvariant="normal">W</mml:mi><mml:msub><mml:mi/><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></disp-formula>
<disp-formula id="S2.Ex3"><mml:math display="block" id="M3"><mml:mrow><mml:mpadded width="+3.3pt"><mml:mi mathsize="90%">Specific</mml:mi></mml:mpadded><mml:mpadded width="+3.3pt"><mml:mi mathsize="90%">growth</mml:mi></mml:mpadded><mml:mpadded width="+3.3pt"><mml:mi mathsize="90%">rate</mml:mi></mml:mpadded><mml:mrow><mml:mo maxsize="90%" minsize="90%">(</mml:mo><mml:mi mathsize="90%">SGR</mml:mi><mml:mo mathsize="90%" stretchy="false">,</mml:mo><mml:mo mathsize="90%" rspace="5.8pt" stretchy="false">%</mml:mo><mml:mi mathsize="90%">day</mml:mi><mml:mmultiscripts><mml:mo maxsize="90%" minsize="90%">)</mml:mo><mml:mprescripts/><mml:none/><mml:mo mathsize="90%" stretchy="false">-</mml:mo><mml:none/><mml:mn mathsize="90%">1</mml:mn></mml:mmultiscripts></mml:mrow><mml:mo mathsize="90%" stretchy="false">=</mml:mo><mml:mn mathsize="90%">100</mml:mn><mml:mo mathsize="90%" stretchy="false">&#x00D7;</mml:mo><mml:mrow><mml:mo maxsize="90%" minsize="90%">(</mml:mo><mml:mpadded width="+3.3pt"><mml:mi mathsize="90%">Ln</mml:mi></mml:mpadded><mml:mi mathsize="90%" mathvariant="normal">W</mml:mi><mml:mmultiscripts><mml:mo mathsize="90%" stretchy="false">-</mml:mo><mml:mprescripts/><mml:mi mathsize="90%" mathvariant="normal">f</mml:mi><mml:none/></mml:mmultiscripts><mml:mpadded width="+3.3pt"><mml:mi mathsize="90%">Ln</mml:mi></mml:mpadded><mml:mi mathsize="90%" mathvariant="normal">W</mml:mi><mml:mmultiscripts><mml:mo maxsize="90%" minsize="90%">)</mml:mo><mml:mprescripts/><mml:mi mathsize="90%" mathvariant="normal">i</mml:mi><mml:none/></mml:mmultiscripts></mml:mrow><mml:mo mathsize="90%" stretchy="false">/</mml:mo><mml:mi mathsize="90%" mathvariant="normal">t</mml:mi></mml:mrow></mml:math></disp-formula>
<disp-formula id="S2.Ex4"><mml:math display="block" id="M4"><mml:mrow><mml:mpadded width="+3.3pt"><mml:mi>Condition</mml:mi></mml:mpadded><mml:mpadded width="+3.3pt"><mml:mi>factor</mml:mi></mml:mpadded><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>CF</mml:mi><mml:mo rspace="5.8pt" stretchy="false">)</mml:mo></mml:mrow><mml:mo rspace="5.8pt">=</mml:mo><mml:mpadded width="+3.3pt"><mml:msup><mml:mn>100</mml:mn><mml:mo>&#x002A;</mml:mo></mml:msup></mml:mpadded><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mpadded width="+3.3pt"><mml:mi>body</mml:mi></mml:mpadded><mml:mi>weight</mml:mi><mml:mo>/</mml:mo><mml:mi>CL</mml:mi><mml:mmultiscripts><mml:mo stretchy="false">)</mml:mo><mml:mprescripts/><mml:none/><mml:mn>3</mml:mn></mml:mmultiscripts></mml:mrow></mml:mrow></mml:math></disp-formula>
<disp-formula id="S2.Ex5"><mml:math display="block" id="M5"><mml:mrow><mml:mpadded width="+3.3pt"><mml:mi>Molting</mml:mi></mml:mpadded><mml:mpadded width="+3.3pt"><mml:mi>frequency</mml:mi></mml:mpadded><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>MF</mml:mi><mml:mo rspace="5.8pt" stretchy="false">)</mml:mo></mml:mrow><mml:mo rspace="5.8pt">=</mml:mo><mml:mpadded width="+3.3pt"><mml:mi mathvariant="normal">&#x03A3;</mml:mi></mml:mpadded><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi mathvariant="normal">C</mml:mi><mml:mmultiscripts><mml:mo>-</mml:mo><mml:mprescripts/><mml:mi mathvariant="normal">n</mml:mi><mml:none/></mml:mmultiscripts><mml:mn>1</mml:mn><mml:mo rspace="5.8pt" stretchy="false">)</mml:mo></mml:mrow><mml:mo rspace="5.8pt">&#x00D7;</mml:mo><mml:mi mathvariant="normal">N</mml:mi><mml:mmultiscripts><mml:mo stretchy="false">)</mml:mo><mml:mprescripts/><mml:mi mathvariant="normal">n</mml:mi><mml:none/></mml:mmultiscripts></mml:mrow><mml:mo>/</mml:mo><mml:mi mathvariant="normal">N</mml:mi><mml:msub><mml:mi/><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></disp-formula>
<disp-formula id="S2.Ex6"><mml:math display="block" id="M6"><mml:mrow><mml:mpadded width="+3.3pt"><mml:mi>Molting</mml:mi></mml:mpadded><mml:mpadded width="+3.3pt"><mml:mi>interval</mml:mi></mml:mpadded><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>MI</mml:mi><mml:mo rspace="5.8pt">,</mml:mo><mml:mi>days</mml:mi><mml:mo rspace="5.8pt" stretchy="false">)</mml:mo></mml:mrow><mml:mo rspace="5.8pt">=</mml:mo><mml:mpadded width="+3.3pt"><mml:mi>Date</mml:mi></mml:mpadded><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi mathvariant="normal">C</mml:mi><mml:mmultiscripts><mml:mo stretchy="false">)</mml:mo><mml:mprescripts/><mml:mi mathvariant="normal">n</mml:mi><mml:none/></mml:mmultiscripts></mml:mrow><mml:mo rspace="5.8pt">-</mml:mo><mml:mpadded width="+3.3pt"><mml:mi>Date</mml:mi></mml:mpadded><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi mathvariant="normal">C</mml:mi><mml:mmultiscripts><mml:mo stretchy="false">)</mml:mo><mml:mprescripts/><mml:mi mathvariant="normal">n</mml:mi><mml:none/><mml:mo>-</mml:mo><mml:none/><mml:mn>1</mml:mn><mml:none/></mml:mmultiscripts></mml:mrow></mml:mrow></mml:math></disp-formula>
<p>Where N<sub><italic>t</italic></sub> is the number of crabs at the beginning of the experiment; N<sub><italic>i</italic></sub> is the number of crabs at the end of the experiment, W<sub><italic>f</italic></sub> is final body weight in gram; W<sub><italic>i</italic></sub> is initial body weight in gram, and the &#x201C;t&#x201D; is the experimental duration (days); N<sub><italic>n</italic></sub>, the number of molting stages; N<sub><italic>t</italic></sub>, the total number of survival crabs; C<sub><italic>n</italic></sub>, the developmental stage of crab.</p>
</sec>
<sec id="S2.SS3">
<title>Analysis of Antioxidant Capacity</title>
<p>Samples (<italic>n</italic> = 3, 6 hepatopancreas per treatment) were homogenized in ice-cold normal saline and centrifuged at 825 g min<sup>&#x2013;1</sup> at 4&#x00B0;C for 15 min. The activity of superoxide dismutase (SOD, A001-3-2, Jiancheng, Nanjing, China) was measured by WST-1 method (<xref ref-type="bibr" rid="B57">Peskin and Winterbourn, 2000</xref>). Catalase (CAT, A007-1-1, Jiancheng, Nanjing, China) was tested using the hydrogen peroxide decomposition method (<xref ref-type="bibr" rid="B22">G&#x00F3;th, 1991</xref>). Total antioxidant capacity (T-AOC, A015-2-1, Jiancheng, Nanjing, China) was assessed via the ABTS method (<xref ref-type="bibr" rid="B59">Re et al., 1999</xref>). Malondialdehyde concentration (MDA, A003-1-2, Jiancheng, Nanjing, China) was measured by thiobarbituric acid (TBA) reaction (<xref ref-type="bibr" rid="B53">Ohkawa et al., 1979</xref>). Finally, hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) was tested using commercial kits (Nanjing Jiancheng Bioengineering Institute, Nanjing, China). All the above analyses have been validated previously for <italic>S. paramamosain</italic> (<xref ref-type="bibr" rid="B80">Xu et al., 2019</xref>).</p>
</sec>
<sec id="S2.SS4">
<title>Measurement of Melatonin and Cortisol</title>
<p>The eyestalks from each treatment (<italic>n</italic> = 3, 6 individuals per treatment) were homogeneized and dissolved in PBS. After centrifuging at 825 g at 4&#x00B0;C for 15 min, the supernatant was collected to analyze melatonin and cortisol contents. Sample analyses were performed using crab&#x2019;s specific melatonin and cortisol ELISA kits supplied by Enzyme-linked Biotechnology (Qiaodu-Bio, Shanghai, China). Kits have been validated previsouly in <italic>S. paramamosain</italic> (<xref ref-type="bibr" rid="B3">Chen et al., 2021a</xref>). Detection limit was 1 pg mL<sup>&#x2013;1</sup>, and both intra-assay and inter-assay coefficients of variation for both kits were less than 15%.</p>
</sec>
<sec id="S2.SS5">
<title>RNA Extraction, cDNA Synthesis, and Quantitative PCR Analysis</title>
<p>Trizol Reagent (Invitrogen, United States) was used to extract the total RNA from hepatopancreas samples according to manufacturer instructions. The quality and quantity of the RNA was assessed by electrophoresis and was measured with a small volume spectrophotometer (Eppendorf NanoDrop 2000). The RNA pellet was eluted in 20 &#x03BC;L of nuclease-free water prior to cDNA synthesis using HiFiScript cDNA Synthesis Kit (CW Biotech. Co., Lid., Shanghai, China) with 2 &#x03BC;g RNA. The synthesized cDNA stored at &#x2212;80&#x00B0;C until use.</p>
<p>Real-time PCR assays were carried out in a Lightcycler 96 (Roche) using SYBR green as a fluorescent dye. The primers used for Quantitative PCR (qPCR) are listed in <xref ref-type="table" rid="T1">Table 1</xref>. The qPCR amplifications were carried out in total reaction volumes of 20 &#x03BC;L, which included 10 &#x03BC;L of SYBR green mixed reagent [Magic SYBR Mixture (CW3008H), CW Biotech. Co., Lid., Shanghai, China], 1 &#x03BC;L of each of the forward and reverse primers, 1 &#x03BC;L of cDNA template and 7 &#x03BC;L of ddH<sub>2</sub>O. All detection for each sample was performed twice. The procedure of quantitative PCR contained an initial activation step at 95&#x00B0;C for 2 min, followed by 45 cycles of 95&#x00B0;C for 10 s and 55&#x00B0;C for 10 s, and 72&#x00B0;C for 20 s. To verify that the primer pair produced a single product, the dissociation curve of the product was also tested by heating from 55 to 95&#x00B0;C at the end of the reaction. The molting inhibiting hormone (<italic>mih</italic>), heat shock protein 40, 70, and 90 (<italic>hsp40</italic>, <italic>hsp70</italic>, and <italic>hsp90</italic>), tumor suppressor protein p53 (<italic>p53</italic>), <italic>bcl-2</italic>, <italic>caspase-3</italic>, and cytochrome <italic>c</italic> oxidase IV (<italic>cox IV</italic>) were normalized with &#x03B2;<italic>-actin</italic> used as the housekeeping gene. Target genes&#x2019; critical threshold (Ct) quantities were standardized with quantities of housekeeping gene using the optimized comparative 2<sup>&#x2013;</sup><italic><sup>&#x0394;</sup> <sup>&#x0394;</sup> <italic><sup>CT</sup></italic></italic> method (<xref ref-type="bibr" rid="B41">Livak and Schmittgen, 2001</xref>), and the results were presented as n-fold changes relative to the housekeeping gene.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Primers used for qPCR in this study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Gene</td>
<td valign="top" align="left">Sequence (5&#x2032;&#x2013;3&#x2032;)</td>
<td valign="top" align="center">Tm (&#x00B0;C)</td>
<td valign="top" align="left">References or accession number</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">&#x03B2;<italic>-actin</italic></td>
<td valign="top" align="left">F: GAGCGAGAAATCGTTCGTGAC</td>
<td valign="top" align="center">56</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B80">Xu et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="left">R: GGAAGGAAGGCTGGAAGAGAG</td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left"><italic>mih</italic></td>
<td valign="top" align="left">F: CCGCGCTAACTCCAGATTTT</td>
<td valign="top" align="center">57</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="JQ855710.2">JQ855710.2</ext-link></td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="left">R: TTGCCAGTATCGGTGTGAGA</td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left"><italic>hsp40</italic></td>
<td valign="top" align="left">F: CATTGACTGAAAGTGCGAAAG</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="JQ864186.1">JQ864186.1</ext-link></td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="left">R: AAACGGATGTCCACCCAAG</td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left"><italic>hsp70</italic></td>
<td valign="top" align="left">F: CAACAGAACTACGCCCTCC</td>
<td valign="top" align="center">57</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="EU754021.1">EU754021.1</ext-link></td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="left">R: AATCAGCCTCTTGGCATCA</td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left"><italic>hsp90</italic></td>
<td valign="top" align="left">F: AAGCGTATGACTTTGTGGA</td>
<td valign="top" align="center">54</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="JX987068.1">JX987068.1</ext-link></td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="left">R: CTTCTTCGTCTTGGGTTTG</td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left"><italic>p53</italic></td>
<td valign="top" align="left">F: AAGCAAGTCAATGAACGCTATGTG</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B5">Cheng et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="left">R: AATGGGCTGCGAAGGACG</td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left"><italic>caspase 3</italic></td>
<td valign="top" align="left">F: ACGAAGTGAGGGGATTATGCC</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="left">R: CAGCCCATCCAGCGAGC</td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left"><italic>bcl-2</italic></td>
<td valign="top" align="left">F: GAAGTGGACCTGGAAAGTAA</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="MK426684.1">MK426684.1</ext-link></td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="left">R: GCTCACAGGGAGAAGCATAG</td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">Cytochrome <italic>c</italic> oxidase IV<break/> (<italic>cox IV</italic>)</td>
<td valign="top" align="left">F: GGCGAGGAAGGGATAC</td>
<td valign="top" align="center">55</td>
<td valign="top" align="left"><ext-link ext-link-type="DDBJ/EMBL/GenBank" xlink:href="FJ774694.1">FJ774694.1</ext-link></td>
</tr>
<tr>
<td valign="top" align="left"/><td valign="top" align="left">R: GGAAGTCAACACGGTCATA</td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="S2.SS6">
<title>Data Calculations and Statistical Analysis</title>
<p>All data are presented as the mean &#x00B1; standard deviation (mean &#x00B1; SD). Data were analyzed using SPSS 25.0 statistical software. The normality and homogeneity were checked by Kolmogorov&#x2013;Smirnov test and Levene&#x2019;s test, respectively. The normal distributed and homogenous data were compared with one-way ANOVA and Tukey&#x2019;s <italic>post hoc</italic> multiple comparisons. Non-parametric tests, including the Kruskal-Wallis test, Mann-Whitney test, and Bonferroni correction, were performed to compare SR (after being subjected to arcsine square-root transformation), molting frequency, and molting interval. Bonferroni correction was used for multiple comparisons. To determine the relationship between wavelength, growth, and molting, the Pearson correlation analysis was performed and <italic>t</italic>-test were used. A significance of <italic>P</italic> &#x003C; 0.05 was applied to all statistical tests.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Survival, Growth, and Molting</title>
<p>Survival rates in the blue and cyan groups were significantly higher than in the yellow and violet groups but was not significantly different than in the full-spectrum, green and red groups (<xref ref-type="fig" rid="F2">Figure 2A</xref>). Crabs reared under violet had significantly lower W<sub><italic>f</italic></sub> and WG than the blue group (<xref ref-type="fig" rid="F2">Figures 2B,C</xref>). No significant differences in W<sub><italic>f</italic></sub> and WG were detected between full-spectrum, blue, red, yellow, green, and cyan groups. The coefficient of variation for weight gain (CV<sub><italic>WG</italic></sub>) was higher in the full-spectrum group (41.1 &#x00B1; 10.6%) than violet group (18.7 &#x00B1; 8.1%), but not significantly different than any other groups (<xref ref-type="fig" rid="F2">Figure 2D</xref>). The relationship between light wavelength and SGR based on a 4-parameter saturation kinetic models (4-SKM) showed maximum SGR for spectrum of 449.97 nm (<italic>R</italic><sup>2</sup> = 0.5961) (<xref ref-type="fig" rid="F3">Figure 3</xref>). No significant differences were detected in CW and BH between treatments (<xref ref-type="table" rid="T2">Table 2</xref>). However, CL was significantly influenced by light spectrum, with crabs reared under a blue light showing a higher CL than under violet. In addition, there was no significant differences in CF between treatments (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Survival rate <bold>(A)</bold>, Final weight <bold>(B)</bold>, Weight gain <bold>(C)</bold>, coefficient of variation of weight gain <bold>(D)</bold> of <italic>S. paramamosain</italic> reared under the different spectra. Values are expressed as means &#x00B1; SD (<italic>n</italic> = 3). F, Full spectrum; V, Violet; B, Blue; C, Cyan; G, Green; Y, Yellow; R, Red. Different superscripts denote significant differences between treatments (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Relationship between light wavelength and specific growth rate (SGR) in mud crab based on 4-SKM. The horizontal line represents as SGR of F group.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g003.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Morphology indexes of <italic>S. paramamosain</italic> reared under different light spectra during 8 weeks, including final carapace length (CL) and width (CW), body height (BH), and condition factor (CF).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Treatments</td>
<td valign="top" align="center">CL (cm)</td>
<td valign="top" align="center">CW (cm)</td>
<td valign="top" align="center">BH (cm)</td>
<td valign="top" align="center">CF</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Full spectrum</td>
<td valign="top" align="center">1.61 &#x00B1; 0.08</td>
<td valign="top" align="center">1.14 &#x00B1; 0.05<sup>ab</sup></td>
<td valign="top" align="center">0.61 &#x00B1; 0.03</td>
<td valign="top" align="center">19.01 &#x00B1; 2.32</td>
</tr>
<tr>
<td valign="top" align="left">Violet (405 nm)</td>
<td valign="top" align="center">1.46 &#x00B1; 0.11</td>
<td valign="top" align="center">1.03 &#x00B1; 0.06<sup>a</sup></td>
<td valign="top" align="center">0.56 &#x00B1; 0.02</td>
<td valign="top" align="center">19.27 &#x00B1; 2.77</td>
</tr>
<tr>
<td valign="top" align="left">Blue (470 nm)</td>
<td valign="top" align="center">1.62 &#x00B1; 0.09</td>
<td valign="top" align="center">1.16 &#x00B1; 0.07<sup>b</sup></td>
<td valign="top" align="center">0.63 &#x00B1; 0.05</td>
<td valign="top" align="center">19.16 &#x00B1; 0.96</td>
</tr>
<tr>
<td valign="top" align="left">Cyan (500 nm)</td>
<td valign="top" align="center">1.49 &#x00B1; 0.03</td>
<td valign="top" align="center">1.08 &#x00B1; 0.02<sup>ab</sup></td>
<td valign="top" align="center">0.57 &#x00B1; 0.01</td>
<td valign="top" align="center">23.63 &#x00B1; 2.92</td>
</tr>
<tr>
<td valign="top" align="left">Green (525 nm)</td>
<td valign="top" align="center">1.51 &#x00B1; 0.04</td>
<td valign="top" align="center">1.07 &#x00B1; 0.02<sup>ab</sup></td>
<td valign="top" align="center">0.56 &#x00B1; 0.02</td>
<td valign="top" align="center">19.89 &#x00B1; 1.16</td>
</tr>
<tr>
<td valign="top" align="left">Yellow (570 nm)</td>
<td valign="top" align="center">1.51 &#x00B1; 0.08</td>
<td valign="top" align="center">1.08 &#x00B1; 0.04<sup>ab</sup></td>
<td valign="top" align="center">0.58 &#x00B1; 0.03</td>
<td valign="top" align="center">20.52 &#x00B1; 1.78</td>
</tr>
<tr>
<td valign="top" align="left">Red (625 nm)</td>
<td valign="top" align="center">1.56 &#x00B1; 0.04</td>
<td valign="top" align="center">1.11 &#x00B1; 0.01<sup>ab</sup></td>
<td valign="top" align="center">0.60 &#x00B1; 0.01</td>
<td valign="top" align="center">19.64 &#x00B1; 0.67</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Values are expressed as the means &#x00B1; SD (n = 3 replicate, and 34, 31, 37, 37, 35, 32, and 34 per treatment). Different superscripts denote significant differences between treatments (P &#x003C; 0.05).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Crabs reared under full-spectrum and cyan light had a higher molting frequency than yellow and violet (<xref ref-type="fig" rid="F4">Figure 4A</xref>). No significant differences were detected in the molting interval (C2&#x2013;C5). However, significant differences in molting interval (C1&#x2013;C2) and molting interval (C5&#x2013;C6) were detected between treatments (<xref ref-type="fig" rid="F4">Figures 4B&#x2013;F</xref>). The molting interval from C1 to C2 in the violet group increased significantly compared to full-spectrum and blue groups, but was not significantly different to any other groups (<xref ref-type="fig" rid="F4">Figure 4B</xref>). For crabs of, A higher molting interval from C5 to C6 was detected in blue and red groups, which was significantly higher than for violet and yellow groups.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Molting frequency <bold>(A)</bold>, Molting interval (C1-C2) <bold>(B)</bold>, Molting interval (C2-C3) <bold>(C)</bold>, Molting interval (C3-C4) <bold>(D)</bold>, Molting interval (C4-C5) <bold>(E)</bold> and Molting interval (C5-C6) <bold>(F)</bold> of <italic>S. paramamosain</italic> reared under the different spectra. Values are expressed as means &#x00B1; SD (<italic>n</italic> = 3, all survival crab per replicate). F, Full spectrum; V, Violet; B, Blue; C, Cyan; G, Green; Y, Yellow; R, Red. Different superscripts denote significant differences between treatments (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g004.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Melatonin and Cortisol</title>
<p>Melatonin levels in the eyestalks of crabs exposed to full-spectrum were significantly higher than for blue, cyan, and yellow groups but not significantly different from violet, green, and red groups (<xref ref-type="fig" rid="F5">Figure 5A</xref>). Cortisol levels increased in violet and yellow groups compared to blue light treatment, while no significant difference was detected between full-spectrum, cyan, green, and red groups (<xref ref-type="fig" rid="F5">Figure 5B</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Melatonin <bold>(A)</bold> and cortisol <bold>(B)</bold> levels in eyestalks of <italic>S. paramamosain</italic> reared under various light spectrum. Values are expressed as means &#x00B1; SD (<italic>n</italic> = 3, 2 individuals per replicate). F, Full spectrum; V, Violet; B, Blue; C, Cyan; G, Green; Y, Yellow; R, Red. Different superscripts denote significant differences between treatments (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g005.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>Antioxidant Capacity</title>
<p>Antioxidant capacity was significantly impacted by light spectrum (<xref ref-type="fig" rid="F6">Figure 6</xref>). No significant differences were detected in T-AOC levels, SOD, and CAT activities in the hepatopancreas of crabs under different spectra. However, significant differences in H<sub>2</sub>O<sub>2</sub> and MDA contents were detected between treatments (<xref ref-type="fig" rid="F6">Figures 6D,E</xref>). The H<sub>2</sub>O<sub>2</sub> content in crabs exposed to violet light (239.6 &#x00B1; 23.1 U mgprot<sup>&#x2013;1</sup>) was significantly higher than in the green light (153.2 &#x00B1; 24.8 U mgprot<sup>&#x2013;1</sup>). Crabs from red (11.1 &#x00B1; 0.6 mmol mgprot<sup>&#x2013;1</sup>), violet (10.5 &#x00B1; 1.3 mmol mgprot<sup>&#x2013;1</sup>), and blue (9.1 &#x00B1; 0.6 mmol mgprot<sup>&#x2013;1</sup>) groups had higher MDA content than full-spectrum group (5.0 &#x00B1; 0.8 mmol mgprot<sup>&#x2013;1</sup>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>The total antioxidant capacity (T-AOC) <bold>(A)</bold>, superoxide dismutase (SOD) <bold>(B)</bold>, catalase (CAT) <bold>(C)</bold>, hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) <bold>(D)</bold> and malondialdehyde (MDA) <bold>(E)</bold> contents in the hepatopancreas of <italic>S. paramamosain</italic> reared under the various light spectrum. Values are expressed as means &#x00B1; SD (<italic>n</italic> = 3, 2 individuals per replicate). F, Full spectrum); V, Violet; B, Blue; C, Cyan, G, Green; Y, Yellow; R, Red. Different superscripts denote significant differences between treatments (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g006.tif"/>
</fig>
</sec>
<sec id="S3.SS4">
<title>Gene Expression</title>
<sec id="S3.SS4.SSS1">
<title>Molt-Inhibiting Hormone in Eyestalks</title>
<p>The relative expression of <italic>mih</italic> gene in eyestalks of crabs reared under violet and yellow groups were significantly higher than in all other treatments. No significant difference was detected between full-spectrum, blue, cyan, green, and red groups (<xref ref-type="fig" rid="F7">Figure 7</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>Gene expression of molt-inhibiting hormone (<italic>mih</italic>) gene in the eyestalk of <italic>S. paramamosain</italic> reared under the various light spectrum. Values are expressed as means &#x00B1; SD (<italic>n</italic> = 3, 2 individuals per replicate). F, Full spectrum; V, Violet; B, Blue; C, Cyan; G, Green; Y, Yellow; R, Red. Different superscripts denote significant differences between treatments (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g007.tif"/>
</fig>
</sec>
<sec id="S3.SS4.SSS2">
<title>Heat Shock Protein Genes in Hepatopancreas</title>
<p>Light spectrum affected the relative mRNA gene expression of <italic>hsp40</italic>, <italic>hsp70</italic>, and <italic>hsp90</italic> measured in <italic>S. paramamosain</italic> hepatopancreas (<xref ref-type="fig" rid="F8">Figure 8</xref>). The relative expression levels of <italic>hsp40</italic> in the violet group were significantly higher than in the other groups (<xref ref-type="fig" rid="F8">Figure 8A</xref>). The relative expression levels of <italic>hsp70</italic> in the blue and yellow groups were significantly higher than in the other groups except for cyan p (<xref ref-type="fig" rid="F8">Figure 8B</xref>). The expression of <italic>hsp90</italic> was significantly higher in blue compared to full spectrum and violet groups (<xref ref-type="fig" rid="F8">Figure 8C</xref>).</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption><p>Gene expression of heat shock protein 40, 70, and 90 [<italic>hsp40</italic> <bold>(A)</bold>, <italic>hsp70</italic> <bold>(B)</bold>, and <italic>hsp90</italic> <bold>(C)</bold>] in the hepatopancreas of <italic>S. paramamosain</italic> reared under the various light spectrum. Values are expressed as means &#x00B1; SD (<italic>n</italic> = 3, 2 individuals per replicate). F, Full spectrum; V, Violet; B, Blue; C, Cyan; G, Green; Y, Yellow; R, Red. Different superscripts denote significant differences between treatments (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g008.tif"/>
</fig>
</sec>
<sec id="S3.SS4.SSS3">
<title>Apoptosis Related Genes in Hepatopancreas</title>
<p>Significant differences were found in the relative expression levels of <italic>bcl-2</italic> between treatments. Compare to the full-spectrum and violet groups, <italic>bcl-2</italic> was significantly upregulated in crabs exposed to cyan light (<xref ref-type="fig" rid="F9">Figure 9A</xref>). The relative expression levels of <italic>p53</italic> were not significantly different between treatments (<xref ref-type="fig" rid="F9">Figure 9B</xref>). Relative expression levels of <italic>cox IV</italic> were also significantly influenced by light spectrum with the highest expression levels detected in the green group, which was significantly higher than all other groups except cyan group (<xref ref-type="fig" rid="F9">Figure 9C</xref>). Expression levels of <italic>caspase 3</italic> were significantly higher in crabs reared under green light than in all other groups (<xref ref-type="fig" rid="F9">Figure 9D</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption><p>Gene expression of apoptosis-related genes [<italic>bcl-2</italic> <bold>(A)</bold>, <italic>p53</italic> <bold>(B)</bold>, <italic>cox</italic> IV <bold>(C)</bold> and <italic>caspase 3</italic> <bold>(D)</bold>] in hepatopancreases of S. paramamosain reared under the various light spectrum. Values are expressed as means &#x00B1; SD (<italic>n</italic> = 3, 2 individuals per replicate). F, Full spectrum; V, Violet; B, Blue; C, Cyan; G, Green; Y, Yellow; R, Red. Different superscripts denote significant differences between treatments (<italic>P</italic> &#x003C; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="S3.SS5">
<title>Correlation Analysis</title>
<p>Correlations between wavelength and growth (WG), molting (MF), relative expression of <italic>mih</italic> and oxidative stress (H<sub>2</sub>O<sub>2</sub> and MDA) parameters were analyzed by Pearson correlation coefficient (<xref ref-type="fig" rid="F10">Figure 10</xref>). H<sub>2</sub>O<sub>2</sub> content was negatively correlated with wavelength (<italic>R</italic><sup>2</sup> = &#x2212;0.647, <italic>p</italic> = 0.004), while WG was significantly positively correlated with molting frequency (<italic>R</italic><sup>2</sup> = 0.703, <italic>p</italic> = 0.001) and negatively correlated with the relative expression of <italic>mih</italic> (<italic>R</italic><sup>2</sup> = &#x2212;0.592, <italic>p</italic> = 0.01) (<xref ref-type="fig" rid="F10">Figure 10</xref>). In addition, the relative expression of <italic>mih</italic> was negatively correlated with molting frequency (<italic>R</italic><sup>2</sup> = &#x2212;0.495, <italic>p</italic> = 0.037).</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption><p>Correlation analyses among wavelength and WG, MF, and relative expression of <italic>mih</italic> (<italic>n</italic> = 3, 2 individuals per replicate of <italic>mih</italic>, and <italic>n</italic> = 3 replicate; and 34, 31, 37, 37, 35, 32, and 34 individuals per treatment of WG and MF. The &#x201C;&#x002A;&#x201D; indicates <italic>P</italic> &#x003C; 0.05.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-840353-g010.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>In aquaculture, most research on the effects of light have been performed in fish with less studies done in invertebrates and especially crustaceans. Results from the current study showed that crabs reared under blue (460 nm) and cyan (510 nm) narrow bandwidth lights grew significantly better than for any other spectra tested, especially violet and yellow. Additionally, higher molting performance and lower oxidative stress and apoptosis were observed in the blue groups. The 4-SKM showed that the optimal light wavelength for maximum SGR in mud crab was 449.97 nm.</p>
<p>Published studies suggested that light spectrum can affect the feeding behavior of crabs impacting on feeding efficiency and growth (<xref ref-type="bibr" rid="B9">Cohen and Forward, 2002</xref>; <xref ref-type="bibr" rid="B42">Luchiari et al., 2009</xref>). However, contrasting results have been reported in the literature and the relationship between the animal spectral sensitivity and its behavior, depending on its stage of development, is not well understood. Spectral sensitivity of mud crab <italic>Scylla serrata</italic> was shown to peak at around 500 nm (<xref ref-type="bibr" rid="B82">Yang et al., 1985</xref>). A study in the swimming crab (<italic>Portunus trituberculatus</italic>) suggested that crabs are more sensitive to yellow and red light by looking at the microvillus of photoreceptors and number of organelles (<xref ref-type="bibr" rid="B43">Luo et al., 2006</xref>). However, a growth experiment showed feeding rate was suppressed in <italic>P. trituberculatus</italic> exposed to yellow light in contrast to blue which appeared to promote feeding but surprisingly growth did not correlate with feeding response (<xref ref-type="bibr" rid="B75">Wang et al., 2014</xref>). The visual sensitivity, background color preference, and growth and development are clearly not consistent, as observed in <italic>P. trituberculatus</italic> larvae (<xref ref-type="bibr" rid="B64">Shi et al., 2019</xref>) but also in fish species like barramundi (<italic>Lates calcarifer</italic>) (<xref ref-type="bibr" rid="B71">Ullmann et al., 2011</xref>). Light perception, sensitivity and biological efficiency change during the ontogenic development of any species and in crabs, it was suggested that juveniles may rely more on chemoreception to locate and identify their preys rather than light at the larval stage (<xref ref-type="bibr" rid="B86">Zimmer-Faust, 1989</xref>). This would explain mismatches reported between light sensitivity and physiological effects such as feeding and growth response. Growth effects identified under specific light conditions may be mediated through changes in feed conversion ratio as reported in fish species rather than feeding rate (<xref ref-type="bibr" rid="B70">Taylor et al., 2006</xref>; <xref ref-type="bibr" rid="B31">Karakatsouli et al., 2010</xref>). Characterizing the effect of light spectrum on crustacean physiology is therefore complex and will depend on species, stage of development but also light irradiance and photoperiod.</p>
<p>In the present study, the highest molting frequency was found in full-spectrum and cyan groups. The relative expression of <italic>mih</italic> gene was significantly upregulated in violet and yellow groups (3.1- and 2.4-fold, respectively, compared to full-spectrum group), and these two groups had the lowest molting frequency, suggesting spectrum may play an important role in growth by regulating molting in crabs. Similar results were also observed in <italic>Litopenaeus vannamei</italic>, with higher molting frequency in shrimp exposed to green rather than blue light (<xref ref-type="bibr" rid="B23">Guo et al., 2011</xref>). Molting in crustaceans can also be suppressed by stress factors (<xref ref-type="bibr" rid="B48">Mykles et al., 2010</xref>). The highest cortisol levels found in the present study were in crabs reared under violet and yellow light. As a stress indicator, cortisol is correlated to mortality and growth suppression (<xref ref-type="bibr" rid="B69">Tataranni et al., 1996</xref>). In crustaceans, the crustaceans hyperglycemic hormone (CHH) secreted by X-organ and sinus gland complex (XO-SG) has similar effects than cortisol and corticosterone, by regulating the conversion of glycogen into glucose (<xref ref-type="bibr" rid="B10">Elwood et al., 2009</xref>; <xref ref-type="bibr" rid="B39">Liu et al., 2019</xref>). Although CHH and MIH are different in structure, yet they appear to have similar functions in inhibiting ecdysteroid synthesis (<xref ref-type="bibr" rid="B8">Chung and Webster, 2003</xref>). Thus, higher cortisol levels could lead to delayed molting and subsequently reduced growth in crabs exposed to violet and yellow lights.</p>
<p>Heat shock proteins (HSPs) belong to a conserved class of molecular chaperones that play essential roles in growth, development, and stress response in all living organisms (<xref ref-type="bibr" rid="B51">Nie et al., 2017</xref>). HSPs are used as biomarkers of stress response, especially HSP70 and HSP90 which are involved in stress and immune responses (<xref ref-type="bibr" rid="B16">Fu et al., 2011</xref>). As a cochaperone for HSP70, HSP40 is in the regulation of ATP hydrolysis to maintain normal physiological functions and alleviate stress-related responses (<xref ref-type="bibr" rid="B13">Fan et al., 2003</xref>). In the present study, the relative expression of <italic>hsp40</italic> in the violet group was significantly higher. Moreover, higher expression of <italic>hsp70</italic> was detected in blue and yellow groups, and the relative expression of <italic>hsp90</italic> was upregulated in all narrow bandwidth light treatments. These results suggest that monochromatic light may lead to stress in crabs.</p>
<p>Melatonin, the light perception hormone, is very conserved across animals and plays an important role in the entrainment of circadian rhythmicity although the underlying pathways remain unclear (<xref ref-type="bibr" rid="B46">Migaud et al., 2007b</xref>; <xref ref-type="bibr" rid="B44">McStay et al., 2014</xref>; <xref ref-type="bibr" rid="B60">Saha et al., 2019</xref>; <xref ref-type="bibr" rid="B67">Song Y. et al., 2020</xref>). In crustaceans, melatonin injection was shown to induce ecdysteroidogenesis and stimulate the synthesis of methyl farnesoate which is involved in the regulation of molting, leading to increased molting frequency in <italic>Scylla serrata</italic> (<xref ref-type="bibr" rid="B62">Sainath and Reddy, 2010b</xref>; <xref ref-type="bibr" rid="B20">Girish et al., 2015</xref>). Furthermore, melatonin was shown to suppress nitric oxide synthase activity and reduce nitric oxide (<xref ref-type="bibr" rid="B33">Kim et al., 2004</xref>; <xref ref-type="bibr" rid="B37">Lee et al., 2007</xref>), which are thought to inhibit ecdysteroidogenesis mediated by MIH (<xref ref-type="bibr" rid="B49">Nakatsuji et al., 2009</xref>). The present study showed that short-wavelength light (blue and cyan) suppressed melatonin contents of <italic>S. paramamosain</italic> eyestalks. Similar results were also observed in ornamental cleaner shrimp (<italic>Lysmata amboinensis</italic>) in which melatonin content in eyestalks of shrimp reared under blue light (455 nm) was significantly reduced compared to red (630 nm) and white (control) spectral treatments (<xref ref-type="bibr" rid="B7">Choi et al., 2019</xref>). However, a lower melatonin level was not shown in this study to impact on molting frequency.</p>
<p>Antioxidant capacity refers to compounds capable of protecting cells against oxidative stress involving ROS and RNS (reactive nitrogen species) that are by-products of the metabolism and immune system. Antioxidant capacity plays an essential role in maintaining homeostasis of oxidation/reduction by antioxidant enzymes such as SOD, CAT, and glutathione peroxidase (GPX) (<xref ref-type="bibr" rid="B30">Karadag et al., 2009</xref>; <xref ref-type="bibr" rid="B77">Wu et al., 2020</xref>). Excessive accumulation of ROS may cause oxidative damage, induce disease, and lead to death in animals. MDA, the end product of lipid peroxidation by ROS, is an essential indicator that reflects oxidative damage status (<xref ref-type="bibr" rid="B4">Chen et al., 2021b</xref>). While no significant differences in T-AOC, SOD, and CAT were detected between light treatments, H<sub>2</sub>O<sub>2</sub> and MDA were significantly higher in hepatopancreas of crabs exposed to violet light, suggesting a higher oxidative stress under this spectrum. Correlation analysis showed that the content of H<sub>2</sub>O<sub>2</sub> was negatively correlated with wavelength. These results contrast with previously published data obtained in goldfish (<italic>Carassius auratus</italic>) and bay scallop (<italic>Argopecten irradians</italic>) that showed a reduction in H<sub>2</sub>O<sub>2</sub> content under short wavelength lights (<xref ref-type="bibr" rid="B34">Kim et al., 2014</xref>; <xref ref-type="bibr" rid="B66">Song J. A. et al., 2020</xref>). Contrasting results between studies may be due to differences between species and stage of development, light characteristics of the respective habitats and tissues analyzed. Thus, further studies are required to understand the mechanisms behind such distinctions.</p>
<p>In the present study, <italic>bcl-2</italic> gene expression in cyan, and the <italic>cox IV</italic> and <italic>caspase 3</italic> in green were upregulated. Bcl-2 is the founding member of the Bcl-2 family that can block apoptosis by preventing the release of cytochrome <italic>c</italic> into the cytoplasm to suppress the activation of the caspase cascade (<xref ref-type="bibr" rid="B2">Chen et al., 2019</xref>). The <italic>p53</italic> is a crucial transcription factor for cell cycle arrest, cellular senescence, and apoptosis (<xref ref-type="bibr" rid="B52">Nu&#x00F1;ez-Hernandez et al., 2018</xref>). Cytochrome <italic>c</italic> and cytochrome c oxidase (COX) could catalyze the terminal reaction of the mitochondrial electron transport chain, reducing oxygen to water by transfers electrons to molecular oxygen (<xref ref-type="bibr" rid="B28">Kadenbach et al., 2004</xref>; <xref ref-type="bibr" rid="B26">H&#x00FC;ttemann et al., 2012</xref>). The results from the present study suggest that cyan light could inhibit, while green light could promote apoptosis. On the contrary, previous studies in white leg shrimp and olive flounder (<italic>Paralichthys olivaceus</italic>) showed that green light could reduce oxidative stress and apoptosis via the mitochondria-mediated caspase-dependent pathway (<xref ref-type="bibr" rid="B32">Kim et al., 2016</xref>; <xref ref-type="bibr" rid="B14">Fei et al., 2020a</xref>). Unlike <italic>P. vannamei</italic> and <italic>P. olivaceus</italic>, <italic>S. paramamosain</italic> is an intertidal organism that migrates between that migrates between different tidal zones. Light requirements of mud crab may therefore be more complex. Thus, the results may suggest that cyan light (a mixture of blue and green light) and full-spectrum (a mixture of all spectrum) may have some advantage over other treatments in terms of stress and apoptosis for mud crab.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>In summary, this study evaluated the effects of light spectrum on the growth performance, molting, antioxidant capacity, stress response, and apoptosis-related gene expression of <italic>S. paramamosain</italic>. The results suggested that crabs under full-spectrum, cyan and blue light performed better, while violet light appeared to reduce molting and growth of <italic>S. paramamosain</italic> via hormonal, oxidative stress, and apoptosis pathways. Notably, the current results suggested that the optimal light wavelength for SGR is 449.97 nm. Although more studies are required to describe and understand the underlying pathways behind light induced effects, these new results contribute to the optimization of rearing environment for mud crab farming while providing scientific hypotheses for further studies to characterize light perception and biological efficiency in crustaceans. Violet light should be avoided in the hatchery and nursery of <italic>S. paramamosain</italic> while blue, cyan, and full-spectrum light are recommended for juvenile on growing.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>SC: methodology, data curation, visualization, and writing&#x2014;original draft. CS: conceptualization and review and editing. HM: writing&#x2014;review and editing. CbS: resources and review and editing. CM: review and editing and supervision. YY: review and editing. CW: funding acquisition. ZR: resources. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" 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>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>The work was supported by the National Natural Science Foundation of China (Grant Nos. 32172994 and 31972783), 2025 Technological Innovation for Ningbo (No. 2019B10010), Collaborative Promotion Program of Zhejiang Provincial Agricultural Technology of China (No. 2020XTTGSC03), Zhejiang Thousand Talents Plan awarded to HM, Ministry of Agriculture of China and China Agriculture Research System (No. CARS48), the Special research funding from the Marine Biotechnology and Marine Engineering Discipline Group in Ningbo University (No. 422004582), and K. C. Wong Magna Fund in Ningbo University.</p>
</sec>
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