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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Anim. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Animal Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Anim. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2673-6225</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fanim.2025.1635191</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Temperature modulates bimodal reproduction and energy allocation in the sea urchin <italic>Tripneustes gratilla</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Zerui</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="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhao</surname><given-names>Xinye</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Jia</given-names></name>
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<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Guo</surname><given-names>Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Yu</surname><given-names>Gang</given-names></name>
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<name><surname>Ma</surname><given-names>Zhenhua</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Qin</surname><given-names>Chuanxin</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="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences</institution>, <city>Guangzhou</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province, Sanya Tropical Fisheries Research Institute</institution>, <city>Sanya</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>College of Marine Sciences, Shanghai Ocean University</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Hebei Key Laboratory of Bohai Sea Fish Germplasm Resources Conservation and Utilization, Beidaihe Central Experiment Station, Chinese Academy of Fishery Sciences</institution>, <city>Qinhuangdao</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Chuanxin Qin, <email xlink:href="mailto:qincx@scsfri.ac.cn">qincx@scsfri.ac.cn</email></corresp>
<fn fn-type="other" id="fn003">
<label>&#x2020;</label>
<p>These authors share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-09-23">
<day>23</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>6</volume>
<elocation-id>1635191</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Liu, Zhao, Zhang, Guo, Yu, Ma and Qin.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Zhao, Zhang, Guo, Yu, Ma and Qin</copyright-holder>
<license>
<ali:license_ref start_date="2025-09-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Elucidating the gonadal development patterns of organisms holds significant reference value for advancing large-scale breeding and sustainable utilization of species. This study systematically investigated the annual population structure (test diameter-wet weight allometric model), gonadal histology (gametogenesis chronology), and environmental conditions of <italic>Tripneustes gratilla</italic>. The key findings include the following: 1. Test diameter (60.10&#x2013;147.89 mm) exhibited a significant positive correlation with wet weight (R&#xb2; = 73.54%), with both parameters peaking in May&#x2013;June before declining sharply in September&#x2013;October, indicating synchronized seasonal morphological changes. 2. Gonadal development displayed a bimodal pattern, with the gonad index (GI) reaching primary (8.26 &#xb1; 2.99) and secondary (7.30 &#xb1; 3.15) reproductive peaks in September and December, respectively. Compared with males, females presented significantly superior gonadal development during July&#x2013;August (<italic>P</italic> &lt; 0.05). 3. Water temperature dynamics were highly synchronized with GI fluctuations, where the July&#x2013;September warming phase was strongly associated with reproductive peaks, confirming the temperature-driven physiological synchronization of reproductive cycles. These results demonstrate that <italic>T. gratilla</italic> employs dual survival strategies through seasonal adjustments in morphological-reproductive traits to adapt to environmental fluctuations, providing critical theoretical insights into the reproductive ecology of echinoderms.</p>
</abstract>
<kwd-group>
<kwd><italic>Tripneustes gratilla</italic></kwd>
<kwd>gonadal development</kwd>
<kwd>reproductive cycle</kwd>
<kwd>population characteristics</kwd>
<kwd>temperature regulation</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare financial support was received for the research and/or publication of this article. This research was funded by National Key R&amp;D Program of China (2024YFD2401805), the Guangdong Province Basic and Applied Basic Research Fund Project (2023B1515250004), the National Natural Science Foundation of China (32160863).</funding-statement>
</funding-group>
<counts>
<fig-count count="9"/>
<table-count count="3"/>
<equation-count count="2"/>
<ref-count count="47"/>
<page-count count="12"/>
<word-count count="3898"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Animal Breeding and Genetics</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Echinoderms, as a key evolutionary clade of deuterostomes, are distinguished by their unique pentaradial symmetry and calcareous endoskeleton, making them a model group for studying biomineralization, regenerative biology, and marine ecological functions (<xref ref-type="bibr" rid="B8">Carnevali et&#xa0;al., 2024</xref>). Among them, members of the class Echinoidea (sea urchins) hold both ecological and economic significance: they maintain coral reef ecosystem balance by grazing on algae (<xref ref-type="bibr" rid="B9">Dang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B31">Qin et&#xa0;al., 2020</xref>), while their gonads (the sole edible part) serve as a high-quality protein source, sustaining a global annual aquaculture trade worth USD 2 billion (<xref ref-type="bibr" rid="B32">Rocha et&#xa0;al., 2019</xref>). However, climate-driven ocean acidification is causing a global decline in sea urchin populations at a rate of 7.3% per year (<xref ref-type="bibr" rid="B6">Byrne and Hern&#xe1;ndez, 2020</xref>), underscoring the urgent need to elucidate their growth and reproduction mechanisms for sustainable resource utilization.</p>
<p>In China, sea urchin research has long focused on northern cold-water species (e.g., <italic>Hemicentrotus pulcherrimus</italic>) (<xref ref-type="bibr" rid="B30">Qi et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B36">Shang et&#xa0;al., 2024</xref>), while the diverse species in the tropical South China Sea harbor unique evolutionary adaptations (<xref ref-type="bibr" rid="B23">Liu M. et&#xa0;al., 2024</xref>). <italic>Tripneustes gratilla</italic>, a keystone ecological species in the Indo-West Pacific warm-water region, exhibits a fragmented, patchy distribution in the South China Sea (limited to the coasts of Hainan, Guangdong, and Taiwan) and holds significant commercial potential (<xref ref-type="bibr" rid="B4">Bronstein et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B24">Liu Z. et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B43">Valentine and Edgar, 2010</xref>). However, recent studies have focused primarily on artificial feed optimization (<xref ref-type="bibr" rid="B12">Dworjanyn et&#xa0;al., 2007</xref>) and feeding preferences (<xref ref-type="bibr" rid="B35">Seymour et&#xa0;al., 2013</xref>), with critical knowledge gaps related to wild population dynamics (e.g., gonadal developmental plasticity) and the environmental drivers of reproductive cycles remaining. These gaps severely hinder the sustainable exploitation of South China Sea urchin resources. Numerous studies have indicated that sea urchin reproduction is influenced by location (<xref ref-type="bibr" rid="B28">Okamoto et&#xa0;al., 2020</xref>), seasonality (<xref ref-type="bibr" rid="B47">Zhao et&#xa0;al., 2024</xref>), and food availability (<xref ref-type="bibr" rid="B27">O&#x2019;Hara and Th&#xf3;rarinsd&#xf3;ttir, 2021</xref>), with reproductive cycles and spawning timing directly impacting gonad quality (<xref ref-type="bibr" rid="B32">Rocha et&#xa0;al., 2019</xref>). Gonad fullness reflects feeding conditions and prey biomass across temporal or spatial scales but also correlates with test size&#x2013;weight relationships, gonadal maturity, gut fullness, sex, and lipid content (<xref ref-type="bibr" rid="B1">Azad et&#xa0;al., 2011</xref>). Researchers have established gonad developmental staging criteria on the basis of external morphology and internal histological structures. For example, <xref ref-type="bibr" rid="B13">Elmasry et&#xa0;al. (2023)</xref> classified <italic>Paracentrotus lividus</italic> gonadal development into four stages on the basis of external morphology and cellular features in histological sections; <xref ref-type="bibr" rid="B5">Byrne (1990)</xref> defined six stages on the basis of gamete morphology and abundance; and <xref ref-type="bibr" rid="B42">Urriago et&#xa0;al. (2016)</xref> defined four stages according to germ cell and nutritive phagocyte dynamics. Concurrently, environmental factors such as temperature and light are recognized as key drivers of reproductive cycles and spawning triggers (<xref ref-type="bibr" rid="B46">Zhadan et&#xa0;al., 2017</xref>). Temperature, in particular, modulates feeding rates, metabolic activity, nutrient utilization, and energy allocation in marine organisms (<xref ref-type="bibr" rid="B25">Mara&#xf1;&#xf3;n et&#xa0;al., 2018</xref>); however, most studies on temperature effects remain confined to laboratory settings (<xref ref-type="bibr" rid="B11">Ding et&#xa0;al., 2019</xref>), with limited field-based investigations on gonadal development&#x2013;temperature linkages. Furthermore, the applicability of existing gonad staging criteria to tropical sea urchins with strategies for continuous reproduction remains debated.</p>
<p>To address these issues, this study focuses on <italic>Tripneustes gratilla</italic> in the South China Sea. We conducted annual surveys of population structure and habitat conditions, combined with histological analysis of gonadal tissues across seasons. Our objectives were to answer two core questions: (1) How do tropical sea urchins balance energy allocation between growth and reproduction? (2) What are the temperature-driven mechanisms underlying gonadal development in wild populations? The findings provide a theoretical foundation for adaptive management and sustainable utilization of sea urchin resources in the South China Sea.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Collection and processing of <italic>Tripneustes gratilla</italic></title>
<p>Experimental sea urchins (<italic>Tripneustes gratilla</italic>) were collected monthly from coastal waters near Xincun Town, Lingshui Li Autonomous County, Hainan Province, China, between July 2022 and June 2023 (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). A total of 636 individuals were collected. The test&#xa0;diameter (TD, mm) was measured using a precision caliper (&#xb1; 0.01 mm), and body weight (W, g) was recorded with a laboratory-grade digital balance (&#xb1; 0.01g). The monthly averages of the water temperature, salinity, and pH were recorded.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Sampling sites in Lingshui waters.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1635191-g001.tif">
<alt-text content-type="machine-generated">Map of China highlighting Hainan Province, with an inset showing Hainan Island. A detailed map focuses on the southeastern region, marking Sanya and Lingshui, with contour lines and a compass rose.</alt-text>
</graphic>
</fig>
<p>The length&#x2013;weight relationship of the <italic>Tripneustes gratilla</italic> population was calculated using the following equation:</p>
<disp-formula>
<mml:math display="block" id="M1"><mml:mrow><mml:mi>W</mml:mi><mml:mo>=</mml:mo><mml:mi>a</mml:mi></mml:mrow></mml:math>
</disp-formula>
<p>where W is the body weight (g), L is the test diameter (mm), and a and b are constants. The parameter a represents the growth condition factor, with higher values indicating better environmental conditions (e.g., food availability, hydrology). The parameter b determines the growth pattern: isometric growth occurs when b = 3, whereas allometric growth is indicated if b &#x2260; 3 (<xref ref-type="bibr" rid="B19">Jisr et&#xa0;al., 2018</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Histological analysis</title>
<p>Each month, 15&#x2013;20 active <italic>Tripneustes gratilla</italic> individuals were selected for gonad sampling. Gonads were dissected using scissors and forceps. Owing to the inability to visually determine sex, no sex identification or recording was performed during sampling. After dissection, the gonads were weighed, and a complete section of each gonad was fixed in 4% paraformaldehyde for 24 hours before being sent to Wuhan Servicebio Biotechnology Co., Ltd., for histological sectioning.</p>
<p>Following standard histological techniques (<xref ref-type="bibr" rid="B10">Delgado and P&#xe9;rez-Camacho, 2005</xref>), fixed gonad tissues were sliced into 1 cm-thick sections, dehydrated through a graded alcohol series, and embedded in paraffin. Sections (5 &#x3bc;m thick) were prepared, mounted on slides with neutral resin, and stained with hematoxylin and eosin (H&amp;E). Gonad developmental stages and sexes were identified using an optical microscope (Olympus Corporation, CX22LEDRFS1, Tokyo,&#xa0;Japan). The gonad stages were classified into five phases according&#xa0;to Fuji&#x2019;s method: the recovery phase (I), growth phase&#xa0;(II),&#xa0;prematuration phase (III), maturation phase (IV), and postspawning phase (V).</p>
<list list-type="simple">
<list-item>
<p>Stage I: Ovarian follicles dominated by oogonia with sparse primary oocytes; testes contained spermatogonia and few dark-stained primary spermatocytes.</p></list-item>
<list-item>
<p>Stage II: Oogonia declined with thickened follicle walls and enlarged primary oocytes; testes showed proliferating spermatogonia/spermatocytes without spermatozoa.</p></list-item>
<list-item>
<p>Stage III: Ovarian secondary oocytes became pear-shaped, some detaching into lumina; testes exhibited abundant spermatids and early sperm bundles.</p></list-item>
<list-item>
<p>Stage IV: Follicle lumens fully occupied by mature eggs or spermatozoa.</p></list-item>
<list-item>
<p>Stage V: Postspawning ovaries displayed phagocytic activity and tissue regeneration; testes retained sparse residual spermatozoa.</p></list-item>
</list>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Gonad index</title>
<p>The reproductive cycle of <italic>Tripneustes gratilla</italic> was assessed using the gonad index (GI), which was calculated as follows:</p>
<disp-formula>
<mml:math display="block" id="M2"><mml:mrow><mml:mi>G</mml:mi><mml:mi>o</mml:mi><mml:mi>n</mml:mi><mml:mi>a</mml:mi><mml:mi>d</mml:mi><mml:mo>&#xa0;</mml:mo><mml:mi>I</mml:mi><mml:mi>n</mml:mi><mml:mi>d</mml:mi><mml:mi>e</mml:mi><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mo>*</mml:mo><mml:mn>100</mml:mn><mml:mo>%</mml:mo></mml:mrow></mml:math>
</disp-formula>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Data analysis</title>
<p>The raw data were organized in Excel 2019. Normality (Kolmogorov&#x2013;Smirnov test) and homogeneity of variance (Levene&#x2019;s test) were assessed using SPSS 27.0 (95% confidence interval). Two-way ANOVA was conducted to analyze the effects of month and sex, followed by Tukey&#x2019;s HSD <italic>post hoc</italic> test for multiple comparisons when significant interactions or main effects were detected, with p &lt; 0.05 considered indicative of statistical significance. Pearson correlation analysis (p &lt; 0.01, two-tailed) was used to evaluate the relationships among test diameter, body weight, gonad index, and month. The length&#x2013;weight relationship parameters were derived via least squares regression in Origin 2022. The growth mode (isometric vs. allometric) was determined by testing (b = 3) using Bailey&#x2019;s (t)-test. All figures were generated using Origin 2022.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Seasonal variations in the size of <italic>Tripneustes gratilla</italic></title>
<p>Analysis of the annual data revealed significant monthly fluctuations in the test diameter (TD) and wet weight of <italic>Tripneustes gratilla</italic> (one-way ANOVA, p &lt; 0.05; <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). <italic>Post hoc</italic> Tukey&#x2019;s HSD test showed distinct groupings among months, with values sharing the same lowercase letter indicating no statistically significant difference (p &gt; 0.05). Specifically, higher values for both TD and wet weight were observed from May to June, whereas lower values were recorded in September and October. In this study, the TD of <italic>Tripneustes gratilla</italic> ranged from 60.10 to 147.89 mm, with a mean TD of 81.96 &#xb1; 11.67 mm. Notably, 78.74% of the samples fell within the 70&#x2013;90 mm TD range (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>), indicating the dominance of individuals within this size class in the population. Scatter plot analysis further demonstrated a significant positive correlation between TD and wet weight (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). The data points were primarily concentrated within TD values of 70&#x2013;140 mm and wet weights of 100&#x2013;500 g, reflecting an increasing trend for wet weight with increasing TD. The fitted curve followed a nonlinear equation (<inline-formula>
<mml:math display="inline" id="im1"><mml:mrow><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mn>0.0194</mml:mn></mml:mrow></mml:math></inline-formula>), with a coefficient of determination <inline-formula>
<mml:math display="inline" id="im2"><mml:mrow><mml:mo>&#xa0;</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:msup><mml:mi>R</mml:mi><mml:mn>2</mml:mn></mml:msup><mml:mo stretchy="false">)</mml:mo><mml:mo>&#xa0;</mml:mo><mml:mtext>of</mml:mtext><mml:mo>&#xa0;</mml:mo><mml:mn>7354</mml:mn></mml:mrow></mml:math></inline-formula>, indicating that TD explained approximately 73.54% of the variation in wet weight. These results highlight TD as a critical factor influencing wet weight, with a distinct nonlinear relationship between the two variables.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Monthly variations in the body size of <italic>Tripneustes gratilla</italic>. Data are expressed as mean &#xb1; standard deviation. Statistical analysis was performed using two-way ANOVA, followed by Tukey&#x2019;s HSD <italic>post hoc</italic> test for multiple comparisons. Different lowercase letters indicate statistically significant differences between months (p &lt; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1635191-g002.tif">
<alt-text content-type="machine-generated">Bar chart showing test diameter in millimeters and wet weight in grams from January to December. Test diameter, in orange, remains relatively stable, peaking in June. Wet weight, in green, has minor fluctuations, with a peak in December. Error bars and letter annotations indicate statistical differences.</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Frequency distribution histogram of the test diameter of <italic>Tripneustes gratilla.</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1635191-g003.tif">
<alt-text content-type="machine-generated">Bar chart displaying test diameter in millimeters on the x-axis and frequency in percentage on the y-axis. The highest frequencies are at 80 and 90 mm, each around 43%. Smaller frequencies appear at 70 mm and 100 mm. Total number of observations is 636.</alt-text>
</graphic>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Length&#x2013;weight (L&#x2013;W) relationship of <italic>Tripneustes gratilla</italic>. &#x201c;Length&#x201d; (x-axis, Test diameter) represents the shell diameter of <italic>Tripneustes gratilla</italic> (in millimeters, mm), measured as the maximum linear distance across the test (skeletal shell). &#x201c;Weight&#x201d; (y-axis) denotes the wet weight of <italic>Tripneustes gratilla</italic> (in grams, g), reflecting the total mass of the organism including natural moisture content. Blue scatter points show individual data pairs of shell diameter and wet weight.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1635191-g004.tif">
<alt-text content-type="machine-generated">Scatter plot showing the relationship between test diameter in millimeters and weight in grams. Data points are in light blue, with a fitted curve indicating a positive correlation with the equation \( y = 0.0194x^{2.048} \) and an \( R^2 \) value of 0.7354.</alt-text>
</graphic>
</fig>
<p>Pearson correlation analysis of factors affecting population dynamics in <italic>Tripneustes gratilla</italic> (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) revealed a significant negative correlation between TD and month (<italic>P</italic> &lt; 0.01), a significant positive correlation between TD and wet weight (<italic>P</italic> &lt; 0.01), and a significant negative correlation between wet weight and month (<italic>P</italic> &lt; 0.01).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Correlation analysis of population dynamic factors in <italic>Tripneustes gratilla</italic>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="left">Statistic</th>
<th valign="middle" align="left">Diameter</th>
<th valign="middle" align="left">Wet weight</th>
<th valign="middle" align="left">Date</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">Diameter</td>
<td valign="middle" align="left">Pearson correlation coefficient</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0.501<sup>**</sup></td>
<td valign="middle" align="left">-0.371<sup>**</sup></td>
</tr>
<tr>
<td valign="middle" align="left"><italic>P-value</italic></td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Wet weight</td>
<td valign="middle" align="left">Pearson correlation coefficient</td>
<td valign="middle" align="left">0.501<sup>**</sup></td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">-0.201<sup>**</sup></td>
</tr>
<tr>
<td valign="middle" align="left"><italic>P-value</italic></td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.002</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Date</td>
<td valign="middle" align="left">Pearson correlation coefficient</td>
<td valign="middle" align="left">-0.371<sup>**</sup></td>
<td valign="middle" align="left">-0.201<sup>**</sup></td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>P-value</italic></td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">0.002</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Pearson correlation coefficient&#x201d; measures the linear association strength/direction between factors (range: -1 to 1; closer to &#xb1;1 = stronger correlation). &#x201c;P-value&#x201d; tests the significance of the correlation (small P &lt; 0.05 = statistically significant). Asterisks (**): Indicate significance level: ** = P &lt; 0.01 (extremely significant linear correlation).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Seasonal fluctuations in the gonad index and developmental structure of <italic>Tripneustes gratilla</italic></title>
<p>The gonadal development cycle of <italic>Tripneustes gratilla</italic> can be categorized into five stages (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>). The gonad index (GI) exhibited pronounced cyclical variations, reflecting periodic spawning and recovery processes. Specifically, the reproductive cycle peaks in September (spawning peak), followed by a rapid decline in October and a secondary peak in December (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The highest monthly average GI values were recorded in September (8.26 &#xb1; 2.99) and December (7.30 &#xb1; 3.15), whereas the lowest value occurred in June (1.72 &#xb1; 0.26). Notably, significant decreases in the GI preceded both peaks. Two-way ANOVA was conducted to assess the effects of month and sex on the GI tract and other biological indices (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). The results indicated that month had a highly significant effect on GI (<italic>P</italic> &lt; 0.001), whereas sex and the month&#x2013;gender interaction had no significant effects. Boxplot analysis revealed an increase in the GI from May to August, followed by a decrease from September to December. Compared with males, female sea urchins presented significantly greater GI values in July and August (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>). The female-to-male ratio remained relatively stable across months (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>), although males predominated in most months, with an average ratio of 0.67. Additionally, both the ovarian and testicular maturation stages displayed marked cyclical patterns (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>), with reproductive activity peaking in September, sharply declining in October, and reaching a secondary peak in December.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Gonadal development stages of <italic>Tripneustes gratilla.</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1635191-g005.tif">
<alt-text content-type="machine-generated">Histological comparison of male and female stages I to V tissues. Each stage displays different cellular structures and staining patterns. Labels indicate male tissue on the left and female tissue on the right, with visible differences in color intensity and texture corresponding to each developmental stage. Scale bars are present for reference.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Monthly variations in the test diameter, body weight, gonad weight, and gonadosomatic index (GI) of <italic>Tripneustes gratilla.</italic>.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Date</th>
<th valign="middle" align="left">Diameter &#xb1; SD (mm)</th>
<th valign="middle" align="left">Wet weight &#xb1; SD (g)</th>
<th valign="middle" align="left">Gonad weight &#xb1; SD (g)</th>
<th valign="middle" align="left">GI &#xb1; SD (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left"><italic>Jan.</italic></td>
<td valign="middle" align="left">84.49 &#xb1; 3.36</td>
<td valign="middle" align="left">203.95 &#xb1; 18.52</td>
<td valign="middle" align="left">6.03 &#xb1; 3.29</td>
<td valign="middle" align="left">2.95 &#xb1; 1.60</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Feb.</italic></td>
<td valign="middle" align="left">86.56 &#xb1; 5.06</td>
<td valign="middle" align="left">186.78 &#xb1; 4.69</td>
<td valign="middle" align="left">4.56 &#xb1; 1.09</td>
<td valign="middle" align="left">2.79 &#xb1; 0.84</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Mar.</italic></td>
<td valign="middle" align="left">81.68 &#xb1; 3.44</td>
<td valign="middle" align="left">202.14 &#xb1; 11.75</td>
<td valign="middle" align="left">4.31 &#xb1; 0.94</td>
<td valign="middle" align="left">2.08 &#xb1; 0.40</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Apr.</italic></td>
<td valign="middle" align="left">82.79 &#xb1; 5.00</td>
<td valign="middle" align="left">143.51 &#xb1; 1.12</td>
<td valign="middle" align="left">3.74 &#xb1; 0.57</td>
<td valign="middle" align="left">2.42 &#xb1; 0.37</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>May.</italic></td>
<td valign="middle" align="left">99.41 &#xb1; 7.76</td>
<td valign="middle" align="left">206.29 &#xb1; 8.87</td>
<td valign="middle" align="left">3.89 &#xb1; 0.92</td>
<td valign="middle" align="left">1.87 &#xb1; 0.42</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Jun.</italic></td>
<td valign="middle" align="left">97.26 &#xb1; 6.07</td>
<td valign="middle" align="left">200.77 &#xb1; 8.37</td>
<td valign="middle" align="left">3.37 &#xb1; 0.46</td>
<td valign="middle" align="left">1.72 &#xb1; 0.26</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Jul.</italic></td>
<td valign="middle" align="left">78.49 &#xb1; 3.02</td>
<td valign="middle" align="left">182.12 &#xb1; 3.67</td>
<td valign="middle" align="left">6.32 &#xb1; 2.45</td>
<td valign="middle" align="left">3.16 &#xb1; 1.33</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Aug.</italic></td>
<td valign="middle" align="left">79.96 &#xb1; 5.82</td>
<td valign="middle" align="left">134.22 &#xb1; 10.23</td>
<td valign="middle" align="left">2.42 &#xb1; 1.32</td>
<td valign="middle" align="left">1.88 &#xb1; 1.20</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Sep.</italic></td>
<td valign="middle" align="left">76.09 &#xb1; 6.79</td>
<td valign="middle" align="left">151.76 &#xb1; 8.92</td>
<td valign="middle" align="left">12.04 &#xb1; 3.16</td>
<td valign="middle" align="left">8.26 &#xb1; 2.99</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Oct.</italic></td>
<td valign="middle" align="left">82.63 &#xb1; 5.63</td>
<td valign="middle" align="left">200.24 &#xb1; 5.30</td>
<td valign="middle" align="left">4.19 &#xb1; 2.80</td>
<td valign="middle" align="left">2.08 &#xb1; 1.31</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Nov.</italic></td>
<td valign="middle" align="left">73.58 &#xb1; 8.34</td>
<td valign="middle" align="left">149.97 &#xb1; 5.19</td>
<td valign="middle" align="left">3.23 &#xb1; 1.68</td>
<td valign="middle" align="left">1.97 &#xb1; 1.02</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Dec.</italic></td>
<td valign="middle" align="left">80.63 &#xb1; 3.55</td>
<td valign="middle" align="left">192.61 &#xb1; 5.60</td>
<td valign="middle" align="left">13.28 &#xb1; 1.23</td>
<td valign="middle" align="left">7.30 &#xb1; 3.15</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>ANOVA results comparing the monthly mean gonadosomatic index (GI) by sex in <italic>Tripneustes gratilla</italic> (&#x3b1; = 0.01).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Source</th>
<th valign="middle" align="left">Sum of squares</th>
<th valign="middle" align="left"><italic>df</italic></th>
<th valign="middle" align="left">Mean square</th>
<th valign="middle" align="left"><italic>F</italic></th>
<th valign="middle" align="left"><italic>P</italic></th>
<th valign="middle" align="left">Observed power</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Month</td>
<td valign="middle" align="left">0.082</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">53.121</td>
<td valign="middle" align="left">0.007</td>
<td valign="middle" align="left">&lt;0.0001</td>
<td valign="middle" align="left">0.552</td>
</tr>
<tr>
<td valign="middle" align="left">Gender</td>
<td valign="middle" align="left">0.003</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">.259</td>
<td valign="middle" align="left">0.003</td>
<td valign="middle" align="left">0.004</td>
<td valign="middle" align="left">0.045</td>
</tr>
<tr>
<td valign="middle" align="left">Month&#xd7;Gender</td>
<td valign="middle" align="left">0.007</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">2.550</td>
<td valign="middle" align="left">0.001</td>
<td valign="middle" align="left">0.060</td>
<td valign="middle" align="left">0.096</td>
</tr>
<tr>
<td valign="middle" align="left">Error</td>
<td valign="middle" align="left">0.066</td>
<td valign="middle" align="left">185</td>
<td valign="middle" align="left">6.907</td>
<td valign="middle" align="left">0.000</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="left">0.391</td>
<td valign="middle" align="left">209</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Corrected total</td>
<td valign="middle" align="left">0.173</td>
<td valign="middle" align="left">208</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Significant differences are highlighted in bold.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Annual median gonadosomatic index (GI) by sex (boxplot). The monthly variations, ranges, distribution skewness, and outliers (rhombus symbols) are shown. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001 (Mann-Whitney U test).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1635191-g006.tif">
<alt-text content-type="machine-generated">Box plot showing monthly gonad index percentages for male (gray) and female (red) fish. Median lines, means, outliers, and interquartile ranges are indicated. Notable differences occur in early and mid-year months, with statistical significance marked by asterisks.</alt-text>
</graphic>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Seasonal variations in the sex ratio (female:male) of <italic>Tripneustes gratilla.</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1635191-g007.tif">
<alt-text content-type="machine-generated">Stacked bar chart showing monthly quantities for males and females. Blue bars represent males and red bars represent females. Quantities vary by month, with noticeable increases in July, October, and November.</alt-text>
</graphic>
</fig>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Annual cycle of gonadal development in <italic>Tripneustes gratilla</italic>: <bold>(A)</bold> ovary and <bold>(B)</bold> testis maturation stages (relative frequency).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1635191-g008.tif">
<alt-text content-type="machine-generated">Two stacked bar charts labeled A and B display the relative frequency of five stages over the months from January to December. The stages are color-coded: Stage I in red, Stage II in orange, Stage III in yellow, Stage IV in light blue, and Stage V in dark blue. Both charts show variations in the distribution of these stages across the months.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Influence of temperature on gonadal development in <italic>Tripneustes gratilla</italic></title>
<p>The gonad index (GI) of the sea urchin <italic>Tripneustes gratilla</italic> exhibits significant seasonal fluctuations throughout the year, reaching its annual peak in September and the lowest value in June. The variation pattern of water temperature aligns with GI trends, showing that GI increases correspondingly with rising water temperatures, particularly during the peak reproductive period (July to September) (<xref ref-type="fig" rid="f9"><bold>Figure&#xa0;9</bold></xref>).</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Monthly mean gonadosomatic index (GI, mean &#xb1; SE) and seawater temperature (&#xb0;C) for <italic>Tripneustes gratilla</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-06-1635191-g009.tif">
<alt-text content-type="machine-generated">Bar and line graph showing the monthly gonad index and seawater temperature. The gonad index is represented by green bars, peaking in September. The seawater temperature, shown by blue dots connected by a line, rises from January to August and then gradually declines by December.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Seasonal variations in test diameter and wet weight and their synergistic effects</title>
<p>This study revealed that the seasonal fluctuations in the body size (test diameter and wet weight) of <italic>Tripneustes gratilla</italic> not only respond to environmental changes but also reflect dynamic optimization processes involving trade-offs between reproduction and growth (<xref ref-type="bibr" rid="B33">R&#xf6;pke et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B39">Stearns, 1992</xref>) and energy allocation strategies (<xref ref-type="bibr" rid="B14">He et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B20">Kooijman, 2009</xref>). Both the test diameter and wet weight peaked from May to June (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>), coinciding with the critical gametogenesis phase, suggesting that biomass accumulation is primarily allocated to gonadal development (<xref ref-type="bibr" rid="B38">Silva et&#xa0;al., 2013</xref>). Prior to the reproductive season, individuals increase their feeding efficiency to allocate resources to somatic growth (test calcification) and reproductive tissue proliferation (<xref ref-type="bibr" rid="B34">Schneider, 2004</xref>), with the rigid test serving as a &#x201c;visible carrier&#x201d; of energy storage. However, the subsequent decline in biomass (September&#x2013;October) highlights an ecological paradox: despite higher primary productivity in summer, increased metabolic costs (e.g., elevated respiration rates due to high temperatures) and reproductive expenditure (gamete release) may force sea urchins into an &#x201c;energy deficit state,&#x201d; leading to arrested test growth or even calcium resorption (<xref ref-type="bibr" rid="B34">Schneider, 2004</xref>). This periodic contraction suggests that <italic>T. gratilla</italic> may exhibit phenotypic plasticity to adapt to seasonal resource fluctuations, with body size variations reflecting a shift in survival strategy from &#x201c;maximizing growth&#x201d; to &#x201c;maintaining metabolic homeostasis&#x201d;.</p>
<p>The allometric growth equation for the test diameter and wet weight (y=0.0194x<sup>2.048</sup>, R&#xb2;=0.7354) further revealed evolutionary constraints on morpho-functional coupling. An exponent &gt;2 indicates that wet weight increases significantly faster than linear test expansion does, deviating from the geometric expectation of isometric growth (expected exponent &#x2248; 3) (<xref ref-type="bibr" rid="B3">Boukal et&#xa0;al., 2014</xref>), which is likely due to visceral mass and gonadal volume expansion during reproduction (<xref ref-type="bibr" rid="B2">Bennett and Giese, 1955</xref>). This result demonstrates that wet weight not only is an indicator of structural growth but also reflects energy storage (e.g., glycogen deposition) and reproductive investment (gamete mass). Notably, the dominance of 70&#x2013;90 mm individuals in the population (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>) may reflect stabilizing selection: smaller individuals face negative selection due to weaker stress resistance (<xref ref-type="bibr" rid="B16">Himmelman et&#xa0;al., 1984</xref>), whereas larger individuals may suffer from higher energy maintenance costs (<xref ref-type="bibr" rid="B41">Tan et&#xa0;al., 2021</xref>) or reduced reproductive efficiency (e.g., increased gamete dispersal distance) (<xref ref-type="bibr" rid="B7">Byrne et&#xa0;al., 2003</xref>).</p>
<p>From an ecosystem perspective, the strong negative correlation between test diameter and month (<italic>P</italic> &lt; 0.01) suggests that climate warming may have cascading effects on the population by altering phenological rhythms. If earlier spring warming leads to a mismatch between reproductive preparation and phytoplankton blooms (<xref ref-type="bibr" rid="B18">Jeppesen et&#xa0;al., 2010</xref>), the dominance of medium-sized individuals could be disrupted, affecting population age structure stability. This mechanism could be quantitatively predicted using dynamic energy budget (DEB) models (<xref ref-type="bibr" rid="B26">Nisbet et&#xa0;al., 2012</xref>) and inform adaptive fisheries management strategies&#x2014;e.g., coupling closed seasons with real-time monitoring of test diameter&#x2013;energy status (<xref ref-type="bibr" rid="B22">Liu et&#xa0;al., 2023</xref>). In addition to elucidating the physiological drivers of size variation, this study proposes a broader hypothesis: seasonal morphological plasticity in invertebrates may represent a &#x201c;cryptic adaptive strategy&#x201d; under environmental fluctuations (<xref ref-type="bibr" rid="B40">Stoks et&#xa0;al., 2014</xref>), whose evolutionary significance warrants reevaluation within the framework of energy constraints and life-history trade-offs.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Bimodal gonadal development and ecological adaptation in <italic>Tripneustes gratilla</italic></title>
<p>This study identified a unique bimodal fluctuation in the gonadosomatic index (GI) of <italic>T. gratilla</italic>, with a primary peak in September and a secondary peak in December, challenging the conventional single-spawning paradigm in sea urchin reproductive ecology (<xref ref-type="bibr" rid="B44">Walker et&#xa0;al., 2001</xref>). This bimodality may reflect adaptive evolution under heterogeneous environmental pressures: the September spawning peak aligns with seasonal maxima in environmental factors (e.g., water temperature; <xref ref-type="fig" rid="f9"><bold>Figure&#xa0;9</bold></xref>) to ensure larval hatching during high food availability, whereas the December peak may act as a &#x201c;reproductive bet-hedging strategy&#x201d;, enhancing population resilience to unpredictable disturbances through supplemental spawning (<xref ref-type="bibr" rid="B29">Pirotta et&#xa0;al., 2019</xref>). The sharp GI declines preceding both peaks (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>) align with the postspawning gonadal atrophy typical of echinoderms (<xref ref-type="bibr" rid="B21">Li and Yang, 2025</xref>), but the short interpeak interval (3 months) suggests exceptionally rapid gonadal regeneration, possibly an adaptation to high predation pressure or resource variability.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Environment&#x2013;physiology coupling: temperature-driven reproductive synchrony</title>
<p>The strong GI&#x2013;temperature correlation (<xref ref-type="fig" rid="f9"><bold>Figure&#xa0;9</bold></xref>) underscores water temperature as a key regulator of reproductive cycles. The July&#x2013;September warming phase coincides with GI surges, likely accelerating gametogenesis via temperature-dependent metabolic rates: warming promotes gonadal cell division and vitellogenesis (<xref ref-type="bibr" rid="B17">James et&#xa0;al., 2007</xref>) while increasing sex steroid concentrations (e.g., estradiol (E2) and testosterone (T)) (<xref ref-type="bibr" rid="B45">Yu et&#xa0;al., 2022</xref>). However, the December peak (typically a cold period) implies the existence of additional drivers (e.g., photoperiod or nutrient supply) (<xref ref-type="bibr" rid="B37">Shpigel et&#xa0;al., 2004</xref>). Although sex had no significant effect on the GI (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>), females presented a greater GI than males did in July&#x2013;August (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>), potentially because of greater energy demands for oogenesis than for spermatogenesis (<xref ref-type="bibr" rid="B15">Hernandez et&#xa0;al., 2020</xref>). The male-biased sex ratio (0.67 females/males), a common r-selected trait, may reduce sperm competition costs.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>In summary, the population structure and size distribution of <italic>Tripneustes gratilla</italic> in the waters near Xincun Town, Lingshui Li Autonomous County, Hainan Province are influenced by seasonal dynamics and fishing pressure, exhibiting allometric growth. The extended reproductive period (May&#x2013;December) features two spawning peaks (September and December). Reducing fishing intensity during these critical windows is essential to protect mature individuals and enhance their recruitment. These findings provide a theoretical foundation for artificial breeding (e.g., to select for high-quality gonads) and sustainable wild stock management of <italic>T. gratilla</italic>.</p>
</sec>
</body>
<back>
<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" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study protocol was approved by the Laboratory Animal Welfare and Ethics Committee of the South China Sea Fisheries Research Institute (CAFS) (nhdf2025-11). The study was conducted in accordance with the local legislation and institutional requirements.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>CQ: Writing &#x2013; review &amp; editing, Funding acquisition, Resources, Investigation. ZL: Visualization, Writing &#x2013; original draft, Formal Analysis, Data curation, Investigation. XZ: Writing &#x2013; review &amp; editing, Project administration. JZ: Investigation, Writing &#x2013; review &amp; editing. YG: Investigation, Writing &#x2013; review &amp; editing. GY: Investigation, Writing &#x2013; review &amp; editing, Funding acquisition, Resources. ZM: Resources, Funding acquisition, Writing &#x2013; review &amp; editing, Investigation.</p></sec>
<sec id="s10" 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="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" 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>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3091359">Ilhan Aydin</ext-link>, Ministry of Agriculture and Forestry of T&#xfc;rkiye, T&#xfc;rkiye</p></fn>
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<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1181918">Andressa Teles</ext-link>, Centro de Investigaci&#xf3;n Biol&#xf3;gica del Noroeste (CIBNOR), Mexico; <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3091619">Esin Batir</ext-link>, University of Rome Tor Vergata, Italy</p></fn>
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