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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.2021.661389</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Field Monitoring of <italic>Tritia mutabilis</italic> (Linnaeus, 1758) Egg Capsule Deposition and Intracapsular Embryonic Patterns Using Artificial Substrates and Machine Learning-Based Approaches</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Cocci</surname> <given-names>Paolo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/427191/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Troli</surname> <given-names>Emanuele</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Angeletti</surname> <given-names>Mauro</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1353959/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Palermo</surname> <given-names>Francesco Alessandro</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/274446/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Biosciences and Veterinary Medicine, University of Camerino</institution>, <addr-line>Camerino</addr-line>, <country>Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Blu Marine Service Soc. Coop.</institution>, <addr-line>San Benedetto del Tronto</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Morten Omholt Alver, Norwegian University of Science and Technology, Norway</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Katerina Vasileiadou, Hellenic Centre for Marine Research (HCMR), Greece; Pierluigi Strafella, National Research Council (CNR), Italy; Jan A. Pechenik, Tufts University, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Paolo Cocci, <email>paolo.cocci@unicam.it</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Marine Fisheries, Aquaculture and Living Resources, a section of the journal Frontiers in Marine Science</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>06</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>661389</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>01</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>05</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Cocci, Troli, Angeletti and Palermo.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Cocci, Troli, Angeletti and Palermo</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><italic>Tritia mutabilis</italic> (Linnaeus, 1758) represents a marine gastropod species of ecological and economical importance especially in coastal areas of the central Adriatic Sea (Italy). <italic>T. mutabilis</italic> encloses its fertilized eggs within capsules which play a protective role in the embryo defense against adverse environmental factors. Egg capsules are attached to any hard substrates and the availability of adequate substrates for oviposition represents therefore a major determinant of reproductive output of this species. The aim of the present study was to provide the first comprehensive monitoring of <italic>T. mutabilis</italic> egg capsule deposition and intracapsular embryonic patterns using specific artificial substrates and innovative analytical approaches. Square-based pyramid structures were placed within an area subjected to small-scale fishing activity along the Italian coastal waters of the central Adriatic Sea and monitored from March to June 2019. In addition, a machine learning-based approach was developed in order to speed up and automate time-consuming counting procedures of egg capsules attached on each pyramid. Overall, egg capsules were deposited on the almost totality of the artificial substrates reaching values of the surface coverage per site ranging from 31 to 97%. These findings lead to a quantitative estimation of egg number per site included between 27,060 and 62,940 capsules. Our results demonstrate that using these artificial substrates together with monitoring of both egg capsule deposition patterns and intracapsular developmental stages may be useful to improve the <italic>T. mutabilis</italic> stock management.</p>
</abstract>
<kwd-group>
<kwd>Adriatic Sea</kwd>
<kwd>biomonitoring</kwd>
<kwd>artificial substrate</kwd>
<kwd><italic>Tritia mutabilis</italic></kwd>
<kwd>machine learning</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="8"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Many marine invertebrates, mostly gastropod families, enclose their fertilized eggs within capsules that play a protective role in the embryo defense against adverse environmental factors (<xref ref-type="bibr" rid="B20">Pechenik, 1983</xref>; <xref ref-type="bibr" rid="B23">Rawlings, 1994</xref>, <xref ref-type="bibr" rid="B24">1999</xref>; <xref ref-type="bibr" rid="B25">von Dassow and Strathmann, 2005</xref>; <xref ref-type="bibr" rid="B22">Przeslawski and Davis, 2007</xref>). Egg capsules are attached to hard substrates including submerged gear used for small-scale fishing and waste materials (<xref ref-type="bibr" rid="B17">Grati et al., 2018</xref>; <xref ref-type="bibr" rid="B19">Kaviarasan et al., 2020</xref>; <xref ref-type="bibr" rid="B16">Ganias et al., 2021</xref>). Given the energetic cost of capsule production in these organisms (<xref ref-type="bibr" rid="B24">Rawlings, 1999</xref>), the availability of adequate substrates for oviposition represents a major determinant of reproductive output of a population. In fact, species living in marine soft-bottom environments with limited availability of hard substrates must adopt different oviposition strategies such as attaching their egg capsules to living organisms (e.g., algae or bivalves; <xref ref-type="bibr" rid="B25">von Dassow and Strathmann, 2005</xref>; <xref ref-type="bibr" rid="B6">Carrasco and Phillips, 2014</xref>; <xref ref-type="bibr" rid="B1">Aguilar et al., 2017</xref>; <xref ref-type="bibr" rid="B8">Corte et al., 2019</xref>). Communal egg-laying is one of the most frequent behavior observed in several neogastropod species (<xref ref-type="bibr" rid="B6">Carrasco and Phillips, 2014</xref>). This behavior is considered a typical strategy for ensuring stable substrata for egg capsule deposition (<xref ref-type="bibr" rid="B26">Yokoyama and Amaral, 2011</xref>) or for providing protection against predators (<xref ref-type="bibr" rid="B11">Dumont et al., 2008</xref>).</p>
<p>Artificial substrates have proved to be highly suitable for favoring egg deposition of gastropods living on sandy or muddy habitats (<xref ref-type="bibr" rid="B5">Caprioli and Giansante, 2018</xref>). In the central Adriatic Sea, for example, the use of specifically designed artificial substrates was found to facilitate the natural deposition of <italic>Tritia mutabilis</italic> egg capsules in coastal areas (<xref ref-type="bibr" rid="B5">Caprioli and Giansante, 2018</xref>). <italic>T. mutabilis</italic> (Linnaeus, 1758), a common species belonging to the family of <italic>Nassariidae</italic>, lives in coastal waters from 2 to 15 m deep on sandy-muddy bottoms (<xref ref-type="bibr" rid="B7">Cespuglio et al., 1999</xref>; <xref ref-type="bibr" rid="B18">Grati et al., 2010</xref>; <xref ref-type="bibr" rid="B21">Polidori et al., 2015</xref>) and is intensively exploited by small-scale fisheries (<xref ref-type="bibr" rid="B21">Polidori et al., 2015</xref>). In the central Italian Adriatic coastal waters, the breeding season of <italic>T. mutabilis</italic> starts in the late winter and ceases in the late spring resulting in massive event of egg capsules deposition on any available hard object (<xref ref-type="bibr" rid="B21">Polidori et al., 2015</xref>; <xref ref-type="bibr" rid="B5">Caprioli and Giansante, 2018</xref>). The limited literature regarding the reproductive behavior of <italic>T. mutabilis</italic> reports algae and seagrass leaves as favorite oviposition substrates followed by rocks, gravels, sponges, or shells (<xref ref-type="bibr" rid="B4">Barash and Zenziper, 1980</xref>; <xref ref-type="bibr" rid="B3">Bak&#x0131;r et al., 2012</xref>). As described by <xref ref-type="bibr" rid="B10">D&#x2019;Asaro (1993)</xref>, <italic>T. mutabilis</italic> egg capsules have a complex morphology characterized by a dome-shaped vault that encloses the embryos and shows spinose lateral ridges on the outer surface. An opening occluded by plugs is positioned eccentrically toward one side. Each capsule contains a variable number of embryos ranging from 8 to 22 and hatching takes place at the veliger stage, after about 3 weeks of encapsulated development (<xref ref-type="bibr" rid="B5">Caprioli and Giansante, 2018</xref>). <italic>T. mutabilis</italic> is by far the most important target species for small-scale coastal fisheries of the western (Italian) side of the central and northern Adriatic Sea. In the Mediterranean, this marine snail is considered an important constituent of seafood diets due to its favorable sterol profile and mineral content (<xref ref-type="bibr" rid="B15">Fiordelmondo et al., 2020</xref>). Previous reports have indicated that <italic>T. mutabilis</italic> fishery accounts for more than 35% of total fishing effort resulting in an annual catch of about 2,000 <italic>t</italic> (<xref ref-type="bibr" rid="B18">Grati et al., 2010</xref>; <xref ref-type="bibr" rid="B5">Caprioli and Giansante, 2018</xref>). In the last decade, however, catch rate data demonstrated a constant decrease of the target species that was accompanied by a parallel increase in the capture of another gastropod species, the long sea snail, <italic>Tritia reticulata</italic> (Linnaeus, 1758; <xref ref-type="bibr" rid="B13">Fabi et al., 2006</xref>). These data are the result of a combination of several factors which include fishing pressure associated to catches of undersized individuals due to the inappropriate mesh size of traps, habitat loss/degradation causing reduced availability of spawning substrates and natural predation. All the above factors are potentially responsible for the decline of changeable nassa stocks along the north-central coast of the Adriatic Sea.</p>
<p>The present study aims to monitor <italic>T. mutabilis</italic> egg capsule deposition and intracapsular embryonic patterns using artificial substrates and innovative analytical approaches. In this regard, an application of machine learning for automatic counting of <italic>T. mutabilis</italic> egg capsules using digital images has been provided as well as an evaluation of using artificial substrates to enhance the reproductive success of changeable nassa in this coastal area. Such information is essential for promoting restocking interventions and improving the sustainable use and management of natural resources with a direct involvement of fisheries operators.</p>
</sec>
<sec id="S2">
<title>Methods</title>
<sec id="S2.SS1">
<title>Study Area and Artificial Substrates</title>
<p>The study was carried out in the Southern Adriatic coastal area of the Marche region between the cities of San Benedetto del Tronto and Cupra Marittima (Province of Ascoli Piceno, Italy; <xref ref-type="fig" rid="F1">Figure 1</xref>) using specific artificial substrates (i.e., pyramid structures with a square base measuring 40 cm in height and 50 cm in width, a lateral surface area of 0.1 m<sup>2</sup>/side and covered by a high strength nylon net) provided by the Blu Marine Service Soc. Coop. (San Benedetto del Tronto, AP, Italy) and previously tested by <xref ref-type="bibr" rid="B5">Caprioli and Giansante (2018)</xref>. During the beginning of the <italic>T. mutabilis</italic> spawning period (i.e., February 2019), a total of 30 pyramids were placed onto the sea bottom within ten different sites (<xref ref-type="fig" rid="F1">Figure 1</xref>) at a distance from the coast ranging from 0.7 to 4 nautical miles. The different sites were selected according to local small-scale fishermen which participated to the research activities placing the artificial substrates within their favorite fishing spots along with their fishing gears (i.e., basket traps). In each site, three pyramids were placed at about 30-m distance from each other in order to facilitating both inspection and monitoring procedures. Values of temperature, salinity, dissolved oxygen, and pH were recorded within the study area at each monitoring campaign (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Map of the study area and monitoring locations <bold>(A)</bold>. Representative images of artificial substrates during the first <bold>(B)</bold> and the second monitoring <bold>(C)</bold>.</p></caption>
<graphic xlink:href="fmars-08-661389-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS2">
<title>Data Collection</title>
<p>In each site, the status of artificial substrates was examined monthly from March to May 2019, by trained fishermen to remove dirt and other unwanted matter. The analysis of surface coverage per site was performed two times during the study period: the first in April and the second during May 2019. Deposition of egg capsules on each side of the pyramids was accurately analyzed and each structure was photographed using a digital camera (Cyber-shot DSC-HX300; Sony). Monitoring activities were integrated by monthly cutting of nylon net squares (50 mm &#x00D7; 50 mm) from each pyramid. In order to maintain structural integrity of pyramids during the entire experimental period, this sampling procedure was exclusively carried out within site B, selected as a representative fishing spot of the overall study area. These cuttings of net were taken to the laboratory for stereomicroscopic analysis (Carl Zeiss Stemi<sup>TM</sup>) of capsule number/size and intracapsular embryonic development. Ethical review and approval were not required for this study because samples were opportunistically collected from substrates and referred to an observational monitoring.</p>
</sec>
<sec id="S2.SS3">
<title>Species Identification</title>
<p><italic>Tritia mutabilis</italic> egg capsules were identified on the basis of their morphology that accords with the classification for the family Nassariidae proposed by <xref ref-type="bibr" rid="B10">D&#x2019;Asaro (1993)</xref>. Visual identification of capsules from other two cryptic species, <italic>T. reticulata</italic> (Linnaeus, 1758) and <italic>Tritia nitida</italic> (Jeffreys, 1867), was further confirmed by molecular analysis as described by <xref ref-type="bibr" rid="B9">Couceiro et al. (2012)</xref>. Briefly, total DNA was extracted from two egg capsules with TriFast<sup>TM</sup> reagent following manufacturer&#x2019;s instructions (VWR Company). Amplification was performed in a 25 &#x03BC;L solution containing 2 &#x03BC;L DNA, 0.4 &#x03BC;M of each primer (FW-AACAGCTCACGCTTTCGTAAT; REV-AGGAAGACGCTCAAAT; <xref ref-type="bibr" rid="B9">Couceiro et al., 2012</xref>) and 2X PCR Taq MasterMix (Applied Biological Materials Inc.). Thermocycling condition was for 3 min at 95&#x00B0;C following 40 cycles of 40 s at 95&#x00B0;C, 40 s at 54&#x00B0;C, and 60 s at 72&#x00B0;C. Amplicons were electrophoresed through 1% agarose gel (TopVision, Thermo Scientific<sup>TM</sup>) and visualized by staining with SafeView<sup>TM</sup> Classic dye (Abm) to confirm the presence of 373 bp fragment. Samples were then digested with the appropriate restriction enzyme (10 U <italic>Dde</italic>I; ThermoFisher Scientific) and with 1 &#x00D7; Buffer Tango (ThermoFisher Scientific). The digested samples were then analyzed on 2.5% agarose gels (TopVision, Thermo Scientific<sup>TM</sup>) after SafeView<sup>TM</sup> Classic dye (Abm) staining (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>). According to <xref ref-type="bibr" rid="B9">Couceiro et al. (2012)</xref>, there are three <italic>Dde</italic>I recognition sites in <italic>T. reticulata</italic> and one in <italic>T. nitida</italic>.</p>
</sec>
<sec id="S2.SS4">
<title>Data Analysis</title>
<p>Color images (300 ppi) of <italic>T. mutabilis</italic> egg capsules deposited on the surface of each artificial substrate were processed using two distinct approaches: homography-based identification (HI) and deep learning neural networks identification (DLNNI). Homography python program was used to analyze the color images of layered eggs [program: homography.py, using Spyder 3.3.3 (python 3.7), libraries: cv2, numpy, argparse, FLANN based matcher]. A set (<italic>N</italic> = 240) of individual images showing <italic>T. mutabilis</italic> egg capsules deposited on pre-cut net squares (see section &#x201C;Data collection&#x201D;) was identified and used as a training set for the neural network. The sample images were labeled and converted into the format compatible with YOLOv3. YOLO (You Only Look Once) is a state-of-the-art, real-time object detection system, to train the object detector and it applies a single neural network to the full image for both classification and localization. YOLOv3 uses a custom variant of the Darknet architecture, darknet-53. The YOLO configuration parameters include batch = 24 to use 24 images for every training step and subdivisions = 8 to subdivide the batch by 8 to speed up the training process and encourage generalization. YOLO python implementation was used for the image detector training and image analysis [spyder 3.3.3 (python 3.7), libraries: cv2, numpy, darknet]. Additionally, the developed method was further validated by stereomicroscopic examination and manual counting of egg capsules deposited on the same pre-cut net squares. Data on egg capsules deposition are shown as both mean percentage of covered surface per site and total number per site. Hatching rate was calculated as the percentage of egg capsules showing apical opening. Number of embryos per egg capsule was calculated by stereomicroscopic (Carl Zeiss Stemi<sup>TM</sup>) observation of random egg capsule samples from each site. Analysis of variance was used to test for differences in mean coverage percentages of pyramids among sites. Differences with <italic>p</italic> &#x003C; 0.05 were considered statistically significant.</p>
</sec>
<sec id="S2.SS5">
<title>Stereomicroscopic Analysis of <italic>T. mutabilis</italic> Egg Capsules During Intracapsular Development</title>
<p>To investigate <italic>T. mutabilis</italic> intracapsular development, egg capsules deposited on nylon net squares sampled from the pyramids located into the site B were analyzed at stereomicroscope (Carl Zeiss Stemi) and classified on the basis of embryonic development. According to common phases that occur during marine gastropods intracapsular embryonic development, three stages have been identified: Stage 1: fertilized round eggs; Stage 2: initial development of the larvae; Stage 3: larvae with distinct protoconch, velum, and digestive tract (<xref ref-type="bibr" rid="B26">Yokoyama and Amaral, 2011</xref>). In addition, hatched capsules were distinguished for the presence of an apical opening.</p>
</sec>
</sec>
<sec id="S3">
<title>Results and Discussion</title>
<p>In this work, deposition of <italic>T. mutabilis</italic> egg capsules along the Italian coastal waters of the Central Adriatic Sea (Marche region, Italy) was monitored using artificial substrates and innovative analytical approaches. The artificial substrates employed in the present study were square pyramids covered by a high strength nylon net and anchored on the sandy seabed in order to leave available for deposition a surface of about 0.4 m<sup>2</sup> per structure (<xref ref-type="fig" rid="F1">Figure 1</xref>). The usefulness of these types of structures in favoring deposition of <italic>T. mutabilis</italic> egg capsules was partially supported by recent pilot activities carried out along the coastal waters of the Abruzzi region (<xref ref-type="bibr" rid="B5">Caprioli and Giansante, 2018</xref>). In this last regard, our results confirm and integrate previous preliminary observations by providing a quantitative analysis of <italic>T. mutabilis</italic> spawning capacity during one breeding season within an area subjected to small-scale fishing activity.</p>
<p>Monitoring and counting of <italic>T. mutabilis</italic> egg capsules were carried out processing digital images of the artificial substrates through both HI and DLNNI approaches (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). The two proposed methods have positively detected individual eggs in a complex eggs-layer showing small differences in egg count/cm<sup>2</sup> values (<italic>n</italic> = 10; mean &#x00B1; SD: HI, 10.2 &#x00B1; 1.1; and DLNN1, 11.4 &#x00B1; 1.0). In this regard, while HI has been demonstrated to be useful in detecting objects after roto-translation/perspective change, the DLNNI approach has proven to be useful in detecting egg capsules characterized by distorted morphology. Capsules are layered onto the surface with different roto-translational values, and both perspective angles (due in part by the observer) and egg shapes differ slightly within all images analyzed. This latter factor can in part influence the detection capability of HI.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Automatic counting of <italic>Tritia mutabilis</italic> egg capsules deposited on artificial substrates by Digital Image Processing techniques associated with machine learning methods. Color images of <italic>T. mutabilis</italic> egg capsules deposited on the surface of each pyramid were processed using two distinct approaches: Homography-based Identification (HI; <bold>A)</bold> and Deep Learning Neural Networks Identification (DLNNI; <bold>B)</bold>. Results are shown as both mean percentage of covered surface per site <bold>(C)</bold> and total number of egg capsules per site <bold>(D)</bold>.</p></caption>
<graphic xlink:href="fmars-08-661389-g002.tif"/>
</fig>
<p>During the first monitoring (i.e., April 2019), egg capsules were deposited on the almost totality of the artificial substrates showing, however, a wide variability in the width of covered surface on each pyramid (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). This latter may be due to the meteorological conditions since some of the artificial substrates (e.g., within sites F, G, H, and I) suffered heavy damage from adverse marine conditions thus showing a reduction in the surface available for deposition. Low amounts of egg capsules were found on the pyramids belonging to the site D. Analyzing the data per site, the mean% of covered surface ranged from &#x003C;1% (D site) to 73% (C site; <xref ref-type="fig" rid="F2">Figure 2C</xref>). An overall coverage area close to 50% was observed in sites A, B, E, I with the highest coverage achieved in site C (73%), H (66%), L (65%), and the lowest in site D (&#x003C;1%). The low coverage value observed at site D is most likely due to a delayed positioning of the structure that occurred in late March. For that reason, these data were not used for statistical comparison of monitoring sites. The number of egg capsules per site ranged from 690 (D site) to 52560 (C site) with a number of embryos per capsule included between 8 and 23 (mean number: 15.6 &#x00B1; 3.5; <italic>n</italic> = 300; <xref ref-type="fig" rid="F2">Figure 2D</xref>). With the exclusion of site D, there were no significant differences in the mean coverage percentage of pyramids among all other sites.</p>
<p>During the second monitoring (i.e., May 2019) two artificial substrates placed in the site C got lost after being wrecked by a sea storm. Thus, data collected from site C have been shown but not included in statistical analysis. However, our recorded data showed a general increase in the covered surface and egg capsules were found on each of the available artificial substrates (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>). The mean coverage of pyramid surface per monitoring site reached values included between 40 and 87% while the number of egg capsules per site ranged from 27,060 (H site) to 62,940 (E site) with an overall increase with respect to the first monitoring ranging from 7% (L site) to 63% (E site; <xref ref-type="fig" rid="F2">Figures 2C,D</xref>). Again, there were no statistically significant differences in% of covered surface per pyramid among sites. However, if we compare the percentage of overall covered area per site between the two monitoring periods, the highest increases were detectable in the A, B, D, and E sites which showed lower (&#x003C;55%) mean percentage of covered area in April (<xref ref-type="fig" rid="F2">Figure 2C</xref>). Given the substantial environmental homogeneity of the study area, this finding suggests that the rapid achievement of about 50% coverage of the artificial substrates is likely to slow further colonization of the structure (<xref ref-type="fig" rid="F2">Figure 2C</xref>).</p>
<p>During the second monitoring, most of the pyramids presented hatched egg capsules indicating that the majority of larval release was occurred. In line with this observation, a recent study from <xref ref-type="bibr" rid="B5">Caprioli and Giansante (2018)</xref>, carried out using similar approaches, reported very low levels of <italic>T. mutabilis</italic> egg capsule deposition between May and June. In this regard, the much higher coverage percentage observed in our study is probably due to a perfect matching between timing of substrate positioning and starting of <italic>T. mutabilis</italic> breeding season. Similar values were instead reported about the% of hatched capsules per each substrate. <xref ref-type="bibr" rid="B5">Caprioli and Giansante (2018)</xref> found that at least 87% of egg capsules hatched in mid-June. In our work, the calculated hatching rate was over 90% at 19.8&#x00B0;C during the early June and about 61% at 17.2&#x00B0;C in late May (<xref ref-type="fig" rid="F3">Figure 3</xref>). These data suggest that the timing of hatching is strongly determined by water temperatures showing a specific range able to increase the developmental rates. However, the role of developing embryos themselves in directing hatching from inside the encapsulating structure remains unexplored in this species. There is evidence that both growth rate and embryo size are key influencing factors affecting the timing of hatching in many marine gastropod species (<xref ref-type="bibr" rid="B2">Andrade-Villagran et al., 2018</xref>). In the present work, the intracapsular embryonic development of <italic>T. mutabilis</italic> was recorded during the whole monitoring period by monitoring the frequency of three developmental stages (<xref ref-type="fig" rid="F3">Figure 3</xref>). Results demonstrated that abundance of each stage was month-related with stage 1 and 2 more abundant in March and April, respectively. On the contrary, embryos at stage 3 development were largely found during May. These findings suggest the presence of a well-defined spawning season, with a deposition of egg capsules that starts in late February, reaches a peak in March/April and disappears in June.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p><italic>Tritia mutabilis</italic> intracapsular embryonic development. Representative light microscope images of stage 1 <bold>(A)</bold>, stage 2 <bold>(B)</bold>, stage 3 <bold>(C)</bold>, and hatchling <bold>(D)</bold>. Monthly percentage of each developmental stage according to the temperature variation (blue straight line; <bold>E)</bold>. Heatmap of egg capsule amount (mean per pyramid) within each monitoring site <bold>(F)</bold>. Gray dots represent sites (i.e., F, G) that were not analyzed.</p></caption>
<graphic xlink:href="fmars-08-661389-g003.tif"/>
</fig>
<p>Our field monitoring also demonstrated that beside <italic>T. mutabilis</italic> egg capsules, which constitute the vast majority, artificial substrates could favor oviposition of different species (e.g., cuttlefish, squid, and octopus), including other common marine snails, particularly <italic>T. reticulata</italic> (<xref ref-type="fig" rid="F4">Figure 4</xref>). To assure identification of closely related snail species, the morphological analysis was integrated with validated molecular tools which have recently proved to be highly useful for estimating hidden cryptic biodiversity (<xref ref-type="bibr" rid="B9">Couceiro et al., 2012</xref>). Molecular data confirmed the presence of <italic>T. reticulata</italic>, but not <italic>T. nitida</italic> egg capsules. We found the presence of <italic>T. reticulata</italic> egg capsules on three sites (i.e, A, B, E) with the highest coverage of pyramid surface close to 2% (site B). This result supports previous observations which have reported a progressive increase in the capture rate of <italic>T. reticulata</italic> along the Italian coastal waters of the central Adriatic Sea (<xref ref-type="bibr" rid="B14">Felici et al., 2020</xref>). <italic>T. reticulata</italic> was found to occupy the same ecological niche of <italic>T. mutabilis</italic>, living on the same habitat and sharing similar feeding behavior (<xref ref-type="bibr" rid="B12">Fabi and Grati, 2005</xref>). However, this is a species of much lower commercial value compared to the common sea snail. Despite the overall low amount of <italic>T. reticulata</italic> egg capsules found attached on the surface of artificial substrates, it is worth mentioning that this species showed a mean number of embryos per capsule much higher than <italic>T. mutabilis</italic>: 90 &#x00B1; 10 vs 15.6 &#x00B1; 3.5 (mean &#x00B1; SD). These findings highlight the importance of further studies investigating the potential ecological impact of this species.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Artificial substrates favor egg deposition by different species, including other common marine snails. <italic>Tritia reticulata</italic> specimen <bold>(A)</bold>, comparison between <italic>Tritia reticulata</italic> (white arrow) and <italic>Tritia mutabilis</italic> (red arrow) egg capsules <bold>(B)</bold>, stereomicroscopic image of <italic>Tritia reticulata</italic> egg capsule <bold>(C)</bold>, squid <bold>(D)</bold>, octopus <bold>(E)</bold>, and cuttlefish eggs <bold>(F)</bold>.</p></caption>
<graphic xlink:href="fmars-08-661389-g004.tif"/>
</fig>
</sec>
<sec id="S4">
<title>Conclusion</title>
<p>The main findings of the present study help to enhance our knowledge on temporal trends in <italic>T. mutabilis</italic> egg capsules deposition pointing out the potential of artificial substrates in facilitating oviposition. Indeed, the study has demonstrated the high efficiency of these pyramids as egg collectors suggesting that additions of such structures to nearshore environments may contribute to improve spawning possibilities for <italic>T. mutabilis</italic> and favor restocking interventions. Given cost-effectiveness, easy handling and reduced maintenance of the proposed structures, this approach can be continually implemented with the direct involvement of local fishermen. In this regard, the Fisheries Local Action Group &#x201C;Marche Sud&#x201D; is taking action to provide free of charge these artificial structures to local small-scale fishermen in order to promote co-management approaches to natural resources.</p>
<p>In addition, we have also developed a deep learning-based method that can speed out egg capsule counting and reduce time-consuming stereomicroscopic analysis during long-term field monitoring activities. Identification of egg capsule deposition patterns together with monitoring of intracapsular developmental stages may be useful to improve the resource management measures. However, a scientific evaluation of restocking efficacy using these artificial substrate types as well as their role in contributing to the spread of other species, including invasive alien species, are still warranted.</p>
</sec>
<sec id="S5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>PC and FP designed the study and wrote the manuscript. PC and MA performed the data analysis. ET provided the artificial substrates and supported activities at sea. All authors reviewed and approved the final version of the manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>ET was employed by the company Blu Marine Service Soc. Coop. The remaining 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>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was supported by the Fisheries Local Action Group (FLAG) &#x201C;Marche Sud&#x201D; &#x2013; Action Plan: 2.A.2 &#x2013; Risorsa ittica.</p>
</fn>
</fn-group>
<sec id="S8" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2021.661389/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2021.661389/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.pdf" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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