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Article

Convergent Evolution of Armor: Thermal Resistance in Deep-Sea Hydrothermal Vent Crustaceans

1
Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR 999077, China
2
Department of Ocean Sciences, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Republic of Korea
3
Program in Biomedical Science and Engineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Republic of Korea
4
Ocean Georesources Research Department, Korea Institute of Ocean Science and Technology, Busan 49111, Republic of Korea
5
BK21 Center for Precision Medicine & Smart Engineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Republic of Korea
6
Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA
*
Author to whom correspondence should be addressed.
Biology 2024, 13(12), 956; https://doi.org/10.3390/biology13120956
Submission received: 14 October 2024 / Revised: 9 November 2024 / Accepted: 19 November 2024 / Published: 21 November 2024

Simple Summary

In 1977, deep-sea hydrothermal vents, which are high-temperature, high-pressure environments, were discovered by humans, and how the creatures there adapted to their habitats is still being unveiled. We are addressing the question of whether there are specific adaptations in the exoskeletons of crustaceans inhabiting deep-sea hydrothermal vents that enable them to withstand high temperature and pressure conditions. We observed that two vent crustaceans, through convergent evolution, possess thermal stability that is 2.8 times higher than that of four different coastal species, allowing them to survive in the extremely high-temperature environments of their habitat. This is influenced by different compounds with similar elemental composition. The insights gained from studying crustaceans in such extreme environments can offer invaluable insights into the ongoing advancements of biological evolution.

Abstract

Organisms occupy diverse ecological niches worldwide, each with characteristics finely evolved for their environments. Crustaceans residing in deep-sea hydrothermal vents, recognized as one of Earth’s extreme environments, may have adapted to withstand severe conditions, including elevated temperatures and pressure. This study compares the exoskeletons of two vent crustaceans (bythograeid crab Austinograea sp. and squat lobster Munidopsis lauensis) with four coastal species (Asian paddle crabs, blue crab, hermit crab, and mantis shrimp) to identify traits influenced by vent environments. The goal was to identify distinctive exoskeletal characteristics commonly observed in vent crustaceans, resulting from their exposure to severe abiotic factors, including elevated temperatures and pressures, found in vent environments. Results show that the exoskeletons of vent crustaceans demonstrated significantly enhanced thermal stability compared to coastal species. These vent crustaceans consistently featured exoskeletons characterized by a reduced proportion of volatile components, such as water, and an increased proportion of CaCO3, compared with coastal crustaceans. Furthermore, vent crustaceans lacked carotenoid pigments that had low heat resistance. However, no apparent differences were observed in the mechanical properties. Our findings suggest that the similar composition of exoskeletons in vent crustaceans evolved convergently to withstand high temperatures.

Graphical Abstract

1. Introduction

On Earth, there are extreme environments such as polar regions, deep seas, hydrothermal vents, deserts, and volcanoes, where it is believed to be difficult for life to survive. Each extreme environment on Earth is exposed to its own unique abiotic factors: Antarctica experiences ultralow surface temperatures reaching −98 °C [1], the deep sea faces high pressure due to depths exceeding 10,000 m [2] and temperatures close to 0 °C [3], while deep-sea hydrothermal vents are subjected to high pressure because of an average depth exceeding 2100 m and extreme heat with vent fluid temperatures averaging 400 °C [4]. However, some organisms, known as extremophiles, are able to survive in these extreme environments (e.g., temperature, salinity, and pH) [5,6]. Research on these organisms has been very limited to date, as their habitats do not easily allow human access, and their remarkable vitality is expected to have high research value [7]. Research of animals from vents typically employs specialized tools and techniques, such as remotely operated vehicles or television grab for sampling, as well as high-pressure incubation systems, genetic and mechanic analysis methods, to investigate their unique features to extreme environments.
Hydrothermal vents are one of the most extreme environments on Earth, and the temperature and pressure are higher than those in other areas. Extremophiles, such as snails and archaeon living in hydrothermal vents have incomparable survival mechanisms. These include the strong iron-plated armor covering snails [8] and unidentified mysterious metabolism of the thermoacidophilic archaeon that can endure low pH and high temperature [9]. Recent studies reported that the exoskeletons of crabs inhabiting deep-sea hydrothermal vents have good mechanical properties (hardness and reduced modulus) [10], and notable thermal stability [10,11] compared to coastal crabs. The structure and composition of their exoskeletons are believed to contribute to these properties. Consequently, the evolution of crustaceans is closely linked to the characteristics of their exoskeleton [12]. However, to date, it remains unclear whether these traits are unique to specific species or represent a convergent characteristic among crustaceans inhabiting deep-sea hydrothermal vents. Similarly, while numerous studies focused on the unique survival mechanisms of individual species, research on convergent evolution—where genetically unrelated species in the same habitat develop identical survival strategies—remains scarce.
Here, exoskeletons of two vent crustaceans were compared with those of four coastal crustaceans to determine if the deep-sea hydrothermal vent crustaceans evolved extraordinary features of exoskeletons to endure high temperature and pressures. In previous research, the vent species Austinograea sp. was shown to have an exoskeleton highly resistant to temperature and pressure [10]. It suggests that the exoskeletons of hydrothermal vent crustaceans may have evolved similarly under the same selection pressure. Thus, we hypothesized that the exoskeleton of crustaceans inhabiting the vent would have undergone convergent evolution to withstand the extreme environments of high temperatures and pressures. Accordingly, we predicted that the thermal stability and mechanical properties of the exoskeleton would be higher in vent crustaceans than those in coastal habitats.

2. Materials and Methods

2.1. Sample Preparation

Two species of vent crustaceans [Austinograea sp. (vent crab) and Munidopsis lauensis (vent squat lobster)] and four species of coastal crustaceans [Charybdis japonica (Asian paddle crab), Portunus trituberculatus (blue crab), Elassochirus cavimanus (purple hermit crab), and Oratosquilla oratoria (mantis shrimp)] were used for this study (Figure 1a and Figure S1 and Table 1). The vent species were collected from the Onnuri vent field (OVF) of the Indian Ocean using TV grab (Oktopus GmbH, Hohenwestedt, Germany) installed on the ISABU research vessel.
Although there are clear differences in the zonation of organisms at each hydrothermal vent [14], crustaceans were located closest to the vent sources in the OVF, which is similar to the East Scotia Rise (Southern Ocean) hydrothermal area [15]. Through observations utilizing a remotely operated vehicle Ropos (Canadian Scientific Submersible Facility, North Saanich, BC, Canada) and a TV grab camera, it has been shown that certain crustaceans exhibit a behavior of traversing across hydrothermal vents, indicating robust to high temperatures. The research area, OVF, is a diffusion vent unlike typical chimney-dominated hydrothermal regions [16], so crossing over the vent where the flume emerges is very similar to crossing a general flat terrain. To ensure that these analyses were not specific to a certain taxon, we selected species from Brachyura and Anomura that inhabit different habitats (Table 1).
Samples with similar size, which were measured using a caliper (CD-15PSX, Mitutoyo, Kanagawa, Japan), were used (Table 1). All samples were stored immediately in 75% ethanol after collection. A single 5 × 5 mm square sample from the flattest carapace (mesogastric region) of the exoskeleton was used for mechanical, structural, and compositional analysis [11]. Thermal stability analysis was performed on the nearby regions, including potogastric, urogastric, and epigastric. The samples for a nanoindenter, SEM, EDX, and Raman spectroscopy were embedded in cold resin to avoid temperature-induced denaturation. Furthermore, they were finely polished to a 5 μm using an auto polisher (5-2600, Allied High Tech Products, Inc., Compton, CA, USA). The impurities in the TGA samples were removed by passing them through a 500 μm mesh sieve. The fracturing method was used for microstructure analysis of the exoskeleton [17].

2.2. Property Analysis

The overall analysis consisted of four steps: structural, component, mechanical, and thermal analyses. Scanning electron microscopy (SEM: S-4300SE, Hitachi, Ltd., Tokyo, Japan) was used for structural analysis, and the thickness of each layer was measured using ImageJ 1.54g®. The elemental and compound analysis of each layer constituting the exoskeleton was performed by energy-dispersive X-ray spectroscopy (EDX; S-4300SE, Hitachi, Ltd., Tokyo, Japan) and Raman spectroscopy (LabRAm HR Evolution, HORIBA, Ltd., Kyoto, Japan; laser line: 532 nm, acquisition time (s): 3, accumulation: 10–15, ND Filter (%): 10–50), respectively. The coating machine (Q150T, Quorum technologies Ltd., Ashford, UK) was used for SEM and EDX analyses. Platinum was applied as the coating material, with each coating session lasting 120 and 20 s for each SEM and EDX analysis.
For mechanical properties analysis, the hardness and reduced modulus of each exoskeleton layer were measured using a nanoindenter [(G200, KLA, Milpitas, CA, USA; force: 0.081 gf, time to load: 30 s, peak hold time: 10 s, tip: XP Berkovich diamond tip (20 nm radius)]. The results were calculated by taking the maximum of three measurements obtained from each of the four layers composing each individual, and then repeating this process three times and averaging the results, but the epicuticle layer was very thin, approximately 1% of the exoskeleton, so only one maximum value was used. The mechanical properties can vary depending on the dryness level of the sample, and this level can vary depending on the species [18,19,20]. We ensured that all samples were adequately dehydrated before proceeding with the comparative analysis, aligning with the approach taken in many previous studies that also utilized dehydrated samples [18,21,22]. To control the dehydration level of the samples stored in ethanol, they were stored for at least one month. This duration is adequate for complete dehydration [23,24].
Thermal analysis was conducted by thermogravimetric analysis (TGA; STA 409 PC, NETZSCH, Selb, Deutschland; heating rate: 10 °C/min, atmosphere: nitrogen gas) from room temperature to 800 °C, where calcium carbonate was combusted. The main combustion stages were composed of three ranges: Range 1 (30–200 °C) [25,26], Range 2 (250–500 °C) [25,27], and Range 3 (600–800 °C) [28,29]. In Ranges 1 through 3, the representative compounds that typically combust are volatile substances, organic substances, and inorganic substances, respectively [10]. The thermal stability evaluation compared the weight loss (%) of the exoskeleton after combustion; a lower weight loss (%) indicated higher thermal stability [30]. Range 1 was the evaluation temperature range for testing the thermal stability because the initial temperature at which the vent fluid mixes with the surrounding cold seawater is approximately 230 °C [31] and the main combustion temperature of the exoskeleton before 230 °C was up to approximately 200 °C.

2.3. Statistical Analysis

One-way ANOVA for normally distributed data and a Kruskal–Wallis H test were conducted for non-normally distributed data to compare the crustacean exoskeleton characteristics depending on the habitat and infraorder Brachyura. If there were significant differences, Scheffé’s test was used as a post hoc test. A two-tailed independent t test was conducted to identify the difference between two Anomura vent squat lobsters and purple hermit crabs. All statistical analyses were performed using SPSS software (version 19.0; SPSS, Inc., Chicago, IL, USA). All data were presented as the mean ± standard error (SE).
Phylogenetic generalized least squares (PGLS) in R (version 4.3.3) were conducted to understand correlations between exoskeletal characteristics and habitats. We used the ape package for phylogenetic analysis and the nlme package for linear model fitting with a Brownian motion correlation structure (corBrownian).

2.4. DNA Extraction and Molecular Analysis

Genomic DNAs of specimens were extracted from the muscle tissue of a pereiopod using QIAamp Fast DNA Tissue Kit (Qiagen, Inc., Hilden, Germany), following the manufacturer’s protocol. The partial fragments of two mitochondrial genes, cytochrome c oxidase (mtCOI) and 16S ribosomal RNA (mt16S rRNA), and two nuclear genes, 18S ribosomal DNA (18S rRNA) and histone-3 (H3), were amplified using previously published primers (Supplementary Method). Polymerase chain reaction (PCR) was conducted using IP-Taq Master mix (Cosmogenetech, Seoul, Republic of Korea) and the thermocycling followed same cycles with specific annealing temperature to the primer sets (Supplementary Material). PCR products were sequenced using an ABI 3730xl Analyzer (Applied Biosystems, Foster City, CA, USA) and modified manually using Geneious Prime 2022.2. Sequences newly generated in this study were registered in GenBank under the accession IDs: OQ644532–OQ644535, OQ644545, OR462783–OR462785 for mtCOI; OQ629571–OQ629584, OR467411–OR467412 for mt16S rRNA; OQ629560, OQ629561, OR467415 for 18S rRNA; and OQ629549–OQ629556, OR508504–OR509505 for H3.
Phylogenetic analysis was conducted using concatenated sequence data (2101 bp) of mtCOI, mt16S rRNA, 18S rRNA, and H3 genes, and mantis shrimp was utilized as an outgroup based on the previously known systematics (Table S1). The mtCOI and 18rRNA sequences of the vent crab, Asian paddle crab, vent squat lobster, and purple hermit crab were obtained through previous study [13].
The partitioned data set, with applied specific substitution models for each gene was, used for both Bayesian inference (BI) and Maximum likelihood (ML) analysis (Table S2). BI and ML approaches were applied to infer phylogenetic relationships, for which MrBayes 3.2.7 [32,33] and IQ-Tree v. 2.2.2.7 [34,35] on the CIPRES web server [36] were performed, respectively (Supplementary Method).

3. Results

3.1. Structural Characteristics

All six crustacean exoskeletons are comprised of four layers: epicuticle, exocuticle, endocuticle, and membrane. However, the exoskeleton of the purple hermit crab lacked a membrane layer. The epicuticle layer was composed of a granular structure, and the exocuticle and endocuticle were made with a Bouligand structure. The membrane had a multilayer structure (Figure S2). A significant difference in thickness ratio (%) was observed in each layer among species (Kruskal–Wallis H test; epicuticle: χ2 = 16.131, d.f. = 5, p = 0.006, exocuticle: χ2 = 15.379, d.f. = 5, p = 0.009, endocuticle: χ2 = 15.919, d.f. = 5, p = 0.007, and membrane: χ2 = 10.718, d.f. = 4, p = 0.03), but there was no significant difference between the two habitats (Figure 2c).

3.2. Characteristics of Components

The exoskeletons of vent squat lobsters, vent crabs, and Asian paddle crabs consisted of twelve elements (C, N, O, Na, Mg, Al, Si, P, Zr, S, Cl, and Ca). The exoskeletons of blue crabs, purple hermit crabs, and mantis shrimps had iron (Fe) in addition to the twelve elements (Table S3). There were no differences between the elements in each layer of the exoskeleton across the two habitats for the six species (Table S4). Considering the kind of exoskeleton compounds, those in hydrothermal crustaceans include calcite, calcium phosphate, protein, C-O-C stretch, α-chitin, and H2O. In contrast, coastal crustaceans contained carotenoid-based compounds in addition to the components of the hydrothermal crustacean compounds (Figure 3 and Figure S3 and Table S5).

3.3. Thermal Stability

In the three temperature ranges (Range 1, Range 2, and Range 3), there was a significant difference in thermal stability among the six species (one-way ANOVA; Range 1: F5,18 = 290.141, p < 0.001, Range 2: F5,18 = 33.398, p < 0.001, Kruskal–Wallis H test; and Range 3: χ2 = 17.358, d.f. = 5, p = 0.004; Figure 4a and Table S6). In Range 1, the thermal stability of the two hydrothermal species was higher than that of the coastal species, but in Range 3, it was the opposite (Scheffé’s post hoc test, p < 0.05; Figure 4b). There were significant differences between thermal stability of exoskeletons and habitats when using the regression coefficient of the phylogenetic relationship (PGLS; Range 1: slope: 6.877, T value: 3.315, p = 0.03; Range 3: slope: −9.924, T value: −3.136, p = 0.035).

3.4. Mechanical Properties

Significant differences in mechanical properties were observed at the epicuticle and exocuticle (Kruskal–Wallis H test; epicuticle hardness: χ2 = 13.913, d.f. = 5, p = 0.016, one-way ANOVA; epicuticle reduced modulus: F5,18 = 51.003, p < 0.001, exocuticle hardness: F5,18 = 15.613, p < 0.001, and exocuticle reduced modulus: F5,18 = 30.927, p < 0.001), but there was no significant difference between the two habitats (Figure 2a,b).
When comparing mechanical properties within infraorders, Brachyura showed superior hardness in the exocuticle than coastal species (one-way ANOVA: F2,8 = 15.174, p = 0.004), while Anomura exhibited superior hardness and reduced modulus in both epicuticle and exocuticle compared to coastal species (t test; epicuticle hardness: t = 11.240, N1 = 4, N2 = 3, p = 0.013, epicuticle reduced modulus: t = 6.927, N1 = 4, N2 = 3, p < 0.001, exocuticle hardness: t = 3.609, N1 = 4, N2 = 3, p = 0.01, and exocuticle reduced modulus: t = 1.679, N1 = 4, N2 = 3, p < 0.01).

3.5. Phylogenetic Tree

The phylogenetic reconstructions based on the Bayesian inference and maximum-likelihood approaches exhibited a well-supported divergence between Brachyura and Anomura (Figure 1b). Within brachyuran crabs, the vent crab diverged earlier from the ancestral lineage.

4. Discussion

Comparative analysis provided evidence for the convergent evolution of exoskeletons in crustaceans inhabiting deep-sea hydrothermal vents. The vent squat lobster and vent crab evolved independently, but the thermal stability of the two crustaceans was higher than that of the four species in the coastal habitats. On the other hand, the mechanical properties of the exoskeleton did not differ significantly between the two habitats. Our study provides evidence that crustaceans living in hydrothermal vents commonly exhibit resistance to high temperature.
Among the three combustion ranges in the thermal stability analysis, significant differences were found between the two habitats in Ranges 1 and 3. In Range 1 of thermal stability analysis, water or volatile substances constituting chitin [25,26,27,30] and astaxanthin (ATX) [37] were combusted. The weight loss (%) of the vent species was only 36% of that of the coastal ones. The water content of the chitin isolated from the exoskeleton was approximately 5–6% [38,39]. Thus, the vent species combusted only substances from chitin, but the coastal species contained compounds with a water content, such as ATX. We evaluated the thermal stability of the exoskeleton within a specific temperature range: Range 1. The likelihood of combustion of water within the exoskeleton was significantly higher in deep-sea conditions, where there is an abundance of water compared to air. This is due to water’s higher thermal conductivity, resulting from its greater molecular density. For reference, water’s thermal conductivity is approximately 0.6 W/m∙K [(provided by the NIST; www.nist.gov (accessed on 10 June 2020)] [40], whereas air’s thermal conductivity is much lower, at less than 0.03 W/m∙K [41,42]. Consequently, the thermal effect on the crustacean exoskeleton is expected to be more significant in water than in air. Additionally, under conditions similar to the deep-sea hydrothermal vent environments, where the depth over 2000 m (<200 bar), the thermal conductivity of water (W/m °C) increases as the temperature rises until approximately 200 °C [40]. As a result, vent species may experience more heat stress due to high pressure compared to coastal species. The weight loss (%) in Range 2 was attributed to chitin decomposition, the main organic compound, and other organic compounds constituting the exoskeleton [25,27,28]. The organic compound of the vent exoskeleton was only chitin, as confirmed by Raman spectroscopy. On the other hand, coastal species also had carotenoid-based compounds (ATX; degradation range: 250–450 °C) [43] known as red pigment, and unsaturated fatty acids (degradation range: 220–365 °C) [44]. The carotenoid-based compounds are obtained from the crustacean’s diet [45]. Their absence in vent species might be due to environmental and ecological factors. The absence of light in the habitat is one of the major factors. The main uses of pigments in animals is for reproduction [46], camouflage from predators [47], and communication [48]. Vent species frequently have a white color known as albification [49] because they do not need these in dark environments. Furthermore, the crustaceans in the two habitats differ in their ecological niches. The vent species do not need camouflage as they are the top predators in their habitat [50], whereas coastal species are mainly secondary consumers whose camouflage is essential to escape predators [51]. The pigment may be related with the high proportion of calcium carbonate in the vent species. The weight loss (%) in Range 3 was attributed to the decomposition of CaCO3, which is the main inorganic compound [28,29,30]. The weight loss in Range 3 of the vent species was 1.5 times higher than that of the coastal species. One notable characteristic of CaCO3 is its excellent thermal stability, making it valuable in various fields, such as in biomarker [52] and bioinspired materials [53]. Unlike coastal species, vent species do not have a proportion of related pigment components in the exoskeleton, so the proportion of other components may have increased. Second, the calcium concentration of the sediments near the vents is higher than that at the coast and may have affected the CaCO3 content in the exoskeleton. Calcium in marine sediments is supplied mainly from hydrothermal fluids, CaCO3 precipitation, and dissolution [54,55]. For example, the calcium concentration in the sediment of the OVF is about 50–84% [56], but the coastal habitats, such as the Yellow and East China Seas, are less than 30% [57].
Previously, heat resistance, within a temperature variation of less than 50 °C, of organisms was predominantly understood as phenotypic plasticity [58,59]. However, our study expands upon this perspective by examining the extreme conditions of deep-sea hydrothermal vents, characterized by a wide temperature variation ranging from 0 to 200 °C. The vent crustaceans under investigation may have pursued a distinct adaptive pathway, evolving exoskeletons to directly counter the thermal stress prevalent in their habitat. This suggests a departure from reliance on phenotypic plasticity within a specific taxon, indicating a more specialized evolutionary strategy crafted to address the unique challenges posed by the deep-sea hydrothermal vent environment.
The main features affecting the mechanical properties of a material are its structure [60], thickness [11,61], and components [10,11,62]. The structure of each exoskeleton layer was the same in all four species, and there were no significant regional differences in thickness and component. A previous study reporting comparative analyses showed that vent crabs had superior mechanical properties and thermal stability to Asian paddle crabs [10]. On the other hand, in this study, there was no difference in mechanical properties between habitats when investigating species within each habitat. However, there are notable differences between the infraorder in different habitats. The vent species exhibited a similar direction of adaptation, which involved strengthening their exoskeleton which protects themselves from high pressure compared to coastal species. Nonetheless, the degree of this strengthening was relatively weaker, providing less conclusive evidence for convergent evolution.
The composition is essential for determining the characteristics of the exoskeleton [8,10,11,63], which are strongly influenced by the sediment [63], seawater [63], and diet [45] near the habitat. In detail, the vent sediments are unique because of the high concentrations of Fe, Si, Ba, Cu, and Zn, originating from the hydrothermal fluid, and S and Mg from seawater [56]. The fluid from the hydrothermal vent interacts with the surrounding rock layers, dissolving the minerals. Those compounds are discharged into seawater, altering their composition [64]. Additionally, because of the absence of sunlight at extreme depths, the prey organisms available to vent crustaceans lack carotenoid-based compounds. Nevertheless, the ratio and diversity of the exoskeleton elements of vent crustaceans were similar with those of coastal crustaceans. In other words, the composition of the elements that made up exoskeleton is similar, but their compound is rather different.
According to PGLS analysis, vent crustaceans, in contrast to coastal crustaceans, possess exoskeletons with enhanced thermal stability. Phylogenetic inferences indicate that the vent squat lobsters and vent crabs have undergone independent evolutionary processes after divergence. The infraorder Anomura, including vent squat lobster, diverged 259 Mya from the crustaceans of Decapoda according to previous phylogenetic estimation [65]. Subsequently, the vent crab (bythograeid crabs in the hydrothermal vent) diverged from their sister taxa about 150–170 Mya, as estimated from the mitogenome sequences [66]. Given the phylogenetical relationship among the taxa, this study strongly supports that even phylogenetically distant species can evolve convergently to have the same thermal and compound properties to adapt to the extreme environment.
Due to the increased pressure at depths over 2000 m in vent environments and the elevated temperatures caused by high-temperature vent fluids (~400 °C), organisms in such environments might experience greater pressure [67]. Therefore, vent organisms likely require mechanisms to withstand these high pressures. It is supposed that crustaceans have a relevant mechanism related to the mechanical properties of their exoskeleton.
Convergent evolution driven by environmental factors is well known across nature and has been studied through various methods, including morphological and genomic analyses. For example, the fossil of an ancient mosasaur, aquatic tetrapod, reveals convergent evolution through preserved morphological traits, such as soft tissues and anatomical details. From a genomic perspective, the photosymbiotic bivalve Fragum sueziense showed evidence of parallel or convergent evolution in dark conditions, exhibiting molecular mechanisms similar to those seen in animal–algal photosymbiosis in distantly related lineages such as cnidarians [68]. Similarly, pandas from different family exhibit convergent traits, such as bamboo diet and adaptive pseudothumb, which have been investigated through genomescale analyses [69]. Phenomic data derived from natural history collections and comparative genomics have been suggested as valuable approaches for interpreting convergent evolution [70]. This study employed both morphological traits and genomic data to evaluate convergent evolution; however, additional specific genomic analyses could provide deeper insights.

5. Conclusions

The key implication of this study is to reveal differences in the characteristics of the crustacean exoskeleton depending on the unique abiotic factors in habitats and to interpret its evolutionary aspect. Crustaceans in hydrothermal vents may have undergone convergent evolution that improves the thermal stability of their exoskeletons to survive at high temperatures. This suggests that the exclusively shared characteristics among vent crustaceans are adaptations of those animals to extreme environments such as high temperatures.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biology13120956/s1. Refs. [32,33,34,35,36,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90] are cited in the Supplementary Materials file.

Author Contributions

Conceptualization, B.C. and T.K.; methodology, B.C., and S.-J.J.; formal analysis, B.C. and S.-J.J.; investigation, B.C. and S.-J.J.; resources, B.C. and H.-s.H.; writing—original draft preparation, B.C. and S.-J.J.; writing—review and editing, B.C., S.-J.J., H.-s.H., and T.K.; visualization, B.C.; supervision, T.K.; project administration, T.K.; funding acquisition, T.K. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by Inha University (73011-1).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Scambos, T.A.; Campbell, G.G.; Pope, A.; Haran, T.; Muto, A.; Lazzara, M.; Reijmer, C.H.; van den Broeke, M.R. Ultralow Surface Temperatures in East Antarctica From Satellite Thermal Infrared Mapping: The Coldest Places on Earth. Geophys. Res. Lett. 2018, 45, 6124–6133. [Google Scholar] [CrossRef]
  2. Kato, C.; Li, L.; Nogi, Y.; Nakamura, Y.; Tamaoka, J.; Horikoshi, K. Extremely Barophilic Bacteria Isolated from the Mariana Trench, Challenger Deep, at a Depth of 11,000 Meters. Appl. Environ. Microbiol. 1998, 64, 1510–1513. [Google Scholar] [CrossRef]
  3. Valdes, P.J.; Scotese, C.R.; Lunt, D.J. Deep Ocean Temperatures through Time. Clim. Past 2021, 17, 1483–1506. [Google Scholar] [CrossRef]
  4. Haase, K.M.; Petersen, S.; Koschinsky, A.; Seifert, R.; Devey, C.W.; Keir, R.; Lackschewitz, K.S.; Melchert, B.; Perner, M.; Schmale, O.; et al. Young Volcanism and Related Hydrothermal Activity at 5°S on the Slow-Spreading Southern Mid-Atlantic Ridge. Geochem. Geophys. Geosyst. 2007, 8, Q11002. [Google Scholar] [CrossRef]
  5. Canganella, F.; Wiegel, J. Extremophiles: From Abyssal to Terrestrial Ecosystems and Possibly Beyond. Naturwissenschaften 2011, 98, 253–279. [Google Scholar] [CrossRef] [PubMed]
  6. Rothschild, L.J.; Mancinelli, R.L. Life in Extreme Environments. Nature 2001, 409, 1092–1101. [Google Scholar] [CrossRef] [PubMed]
  7. Gostinčar, C.; Stajich, J.E.; Gunde-Cimerman, N. Extremophilic and Extremotolerant Fungi. Curr. Biol. 2023, 33, R752–R756. [Google Scholar] [CrossRef]
  8. Yao, H.; Dao, M.; Imholt, T.; Huang, J.; Wheeler, K.; Bonilla, A.; Suresh, S.; Ortiz, C. Protection Mechanisms of the Iron-Plated Armor of a Deep-Sea Hydrothermal Vent Gastropod. Proc. Natl. Acad. Sci. USA 2010, 107, 987–992. [Google Scholar] [CrossRef]
  9. Reysenbach, A.-L.; Liu, Y.; Banta, A.B.; Beveridge, T.J.; Kirshtein, J.D.; Schouten, S.; Tivey, M.K.; Von Damm, K.L.; Voytek, M.A. A Ubiquitous Thermoacidophilic Archaeon from Deep-Sea Hydrothermal Vents. Nature 2006, 442, 444–447. [Google Scholar] [CrossRef]
  10. Cho, B.; Kim, D.; Kim, T. Exceptional Properties of Hyper-Resistant Armor of a Hydrothermal Vent Crab. Sci. Rep. 2022, 12, 11816. [Google Scholar] [CrossRef]
  11. Cho, B.; Kim, D.; Bae, H.; Kim, T. Unique Characteristics of the Exoskeleton of Bythograeid Crab, Austinograea rodriguezensis in the Indian Ocean Hydrothermal Vent (Onnuri Vent Field). Integr. Comp. Biol. 2020, 60, 24–32. [Google Scholar] [CrossRef] [PubMed]
  12. Kennedy, C.H. The Exoskeleton as a Factor in Limiting and Directing the Evolution of Insects. J. Morphol. 1927, 44, 267–312. [Google Scholar] [CrossRef]
  13. Cho, B.; Seo, H.; Hong, J.; Jang, S.-J.; Kim, T. Exoskeletal Trade-off between Claws and Carapace in Deep-Sea Hydrothermal Vent Decapod Crustaceans. Integr. Comp. Biol. 2024, 64, 80–91. [Google Scholar] [CrossRef] [PubMed]
  14. Mullineaux, L.S.; Metaxas, A.; Beaulieu, S.E.; Bright, M.; Gollner, S.; Grupe, B.M.; Herrera, S.; Kellner, J.B.; Levin, L.A.; Mitarai, S.; et al. Exploring the Ecology of Deep-Sea Hydrothermal Vents in a Metacommunity Framework. Front. Mar. Sci. 2018, 5, 49. [Google Scholar] [CrossRef]
  15. Marsh, L.; Copley, J.T.; Huvenne, V.A.I.; Linse, K.; Reid, W.D.K.; Rogers, A.D.; Sweeting, C.J.; Tyler, P.A. Microdistribution of Faunal Assemblages at Deep-Sea Hydrothermal Vents in the Southern Ocean. PLoS ONE 2012, 7, e48348. [Google Scholar] [CrossRef]
  16. Kim, J.; Son, S.-K.; Kim, D.; Pak, S.-J.; Yu, O.H.; Walker, S.L.; Oh, J.; Choi, S.K.; Ra, K.; Ko, Y.; et al. Discovery of Active Hydrothermal Vent Fields Along the Central Indian Ridge, 8–12°S. Geochem. Geophys. Geosyst. 2020, 21, e2020GC009058. [Google Scholar] [CrossRef]
  17. Zhou, F.; Wu, Z.; Wang, M.; Chen, K. Structure and Mechanical Properties of Pincers of Lobster (Procambarus clarkii) and Crab (Eriocheir sinensis). J. Mech. Behav. Biomed. Mater. 2010, 3, 454–463. [Google Scholar] [CrossRef]
  18. Chen, P.-Y.; Lin, A.Y.-M.; McKittrick, J.; Meyers, M.A. Structure and Mechanical Properties of Crab Exoskeletons. Acta Biomater. 2008, 4, 587–596. [Google Scholar] [CrossRef]
  19. O’Toole-Howes, M.; Ingleby, R.; Mertesdorf, M.; Dean, J.; Li, W.; Carpenter, M.A.; Harper, E.M. Deconvolution of the Elastic Properties of Bivalve Shell Nanocomposites from Direct Measurement and Finite Element Analysis. J. Mater. Res. 2019, 34, 2869–2880. [Google Scholar] [CrossRef]
  20. Lagos, N.A.; Benítez, S.; Grenier, C.; Rodriguez-Navarro, A.B.; García-Herrera, C.; Abarca-Ortega, A.; Vivanco, J.F.; Benjumeda, I.; Vargas, C.A.; Duarte, C.; et al. Plasticity in Organic Composition Maintains Biomechanical Performance in Shells of Juvenile Scallops Exposed to Altered Temperature and pH Conditions. Sci. Rep. 2021, 11, 24201. [Google Scholar] [CrossRef]
  21. Lian, J.; Wang, J. Microstructure and Mechanical Properties of Dungeness Crab Exoskeletons. In Proceedings of the 2011 Annual Conference on Experimental and Applied Mechanics, Uncasville, CT, USA, 13–16 June 2011; Society for Experimental Mechanics Series. Springer: New York, NY, USA, 2011; p. 93. [Google Scholar]
  22. Ribeiro, A.; Viana, M.; Hattori, G.; Constantino, V.; Perotti, G. Extraction and Characterization of Biopolymers from Exoskeleton Residues of the Amazon Crab Dilocarcinus pagei. Rev. Bras. Ciênc. Ambient. Online 2018, 50, 97–111. [Google Scholar] [CrossRef]
  23. Wetzel, M.A.; Leuchs, H.; Koop, J.H.E. Preservation Effects on Wet Weight, Dry Weight, and Ash-Free Dry Weight Biomass Estimates of Four Common Estuarine Macro-Invertebrates: No Difference between Ethanol and Formalin. Helgol. Mar. Res. 2005, 59, 206–213. [Google Scholar] [CrossRef]
  24. Fazhan, H.; Waiho, K.; Jalilah, M.; Ikhwanuddin, M.; Azmie, G.; Muda, S.; Ibrahim, M.Z.; Shuhaimi, D.; Norainy, M.H.; Jamalludin, M.A.; et al. Effect of Different Measuring Techniques, Preservation Methods and Storage Duration on the Morphometric Measurements of Crustacean Larvae. Mar. Biol. Res. 2021, 17, 98–105. [Google Scholar] [CrossRef]
  25. Mendez-Alpuche, A.A.; Ríos-Soberanis, C.R.; Rodriguez-Laviada, J.; Perez-Pacheco, E.; Zaldivar-Rae, J.A. Physicochemical Comparison of Chitin Extracted from Horseshoe Crab (Limulus polyphemus) Exoskeleton and Exuviae. ChemistrySelect 2020, 5, 11745–11752. [Google Scholar] [CrossRef]
  26. Kaya, M.; Mujtaba, M.; Ehrlich, H.; Salaberria, A.M.; Baran, T.; Amemiya, C.T.; Galli, R.; Akyuz, L.; Sargin, I.; Labidi, J. On Chemistry of γ-Chitin. Carbohydr. Polym. 2017, 176, 177–186. [Google Scholar] [CrossRef]
  27. Metin, C.; Alparslan, Y.; Baygar, T.; Baygar, T. Physicochemical, Microstructural and Thermal Characterization of Chitosan from Blue Crab Shell Waste and Its Bioactivity Characteristics. J. Polym. Environ. 2019, 27, 2552–2561. [Google Scholar] [CrossRef]
  28. Romano, P.; Fabritius, H.; Raabe, D. The Exoskeleton of the Lobster Homarus Americanus as an Example of a Smart Anisotropic Biological Material. Acta Biomater. 2007, 3, 301–309. [Google Scholar] [CrossRef]
  29. Agrawal, S.; Singh, B.; Sharma, Y.C. Exoskeleton of a Mollusk (Pila globosa) as a Heterogeneous Catalyst for Synthesis of Biodiesel Using Used Frying Oil. Ind. Eng. Chem. Res. 2012, 51, 11875–11880. [Google Scholar] [CrossRef]
  30. Gbenebor, O.P.; Adeosun, S.O.; Lawal, G.I.; Jun, S. Role of CaCO3 in the Physicochemical Properties of Crustacean-Sourced Structural Polysaccharides. Mater. Chem. Phys. 2016, 184, 203–209. [Google Scholar] [CrossRef]
  31. Melekestseva, I.Y.; Tret’yakov, G.A.; Nimis, P.; Yuminov, A.M.; Maslennikov, V.V.; Maslennikova, S.P.; Kotlyarov, V.A.; Beltenev, V.E.; Danyushevsky, L.V.; Large, R. Barite-Rich Massive Sulfides from the Semenov-1 Hydrothermal Field (Mid-Atlantic Ridge, 13°30.87′ N): Evidence for Phase Separation and Magmatic Input. Mar. Geol. 2014, 349, 37–54. [Google Scholar] [CrossRef]
  32. Huelsenbeck, J.P.; Ronquist, F. MRBAYES: Bayesian Inference of Phylogenetic Trees. Bioinformatics 2001, 17, 754–755. [Google Scholar] [CrossRef]
  33. Ronquist, F.; Teslenko, M.; van der Mark, P.; Ayres, D.L.; Darling, A.; Höhna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef] [PubMed]
  34. Nguyen, L.-T.; Schmidt, H.A.; Von Haeseler, A.; Minh, B.Q. IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies. Mol. Biol. Evol. 2015, 32, 268–274. [Google Scholar] [CrossRef] [PubMed]
  35. Minh, B.Q.; Schmidt, H.A.; Chernomor, O.; Schrempf, D.; Woodhams, M.D.; Von Haeseler, A.; Lanfear, R. IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era. Mol. Biol. Evol. 2020, 37, 1530–1534. [Google Scholar] [CrossRef] [PubMed]
  36. Miller, M.A.; Pfeiffer, W.; Schwartz, T. Creating the CIPRES Science Gateway for Inference of Large Phylogenetic Trees. In Proceedings of the 2010 Gateway Computing Environments Workshop (GCE), New Orleans, LA, USA, 14 November 2010; pp. 1–8. [Google Scholar]
  37. Cianci, M.; Rizkallah, P.J.; Olczak, A.; Raftery, J.; Chayen, N.E.; Zagalsky, P.F.; Helliwell, J.R. The Molecular Basis of the Coloration Mechanism in Lobster Shell: β-Crustacyanin at 3.2-Å Resolution. Proc. Natl. Acad. Sci. USA 2002, 99, 9795–9800. [Google Scholar] [CrossRef]
  38. Soufiane, F.; Elasri, O.; LaKrat, M.; Sihame, A.; Omari, A.; Fadlaoui, S.; Asri, O.; Mohammed, L.; Sihame, A.; Omari, A.; et al. Isolation and Characterization of Chitin from Shells of the Freshwater Crab Potamon Algeriense. Prog. Chem. Appl. Chitin Its Deriv. 2019, 14, 23–35. [Google Scholar] [CrossRef]
  39. Kaya, M.; Dudakli, F.; Asan-Ozusaglam, M.; Cakmak, Y.S.; Baran, T.; Mentes, A.; Erdogan, S. Porous and Nanofiber α-Chitosan Obtained from Blue Crab (Callinectes sapidus) Tested for Antimicrobial and Antioxidant Activities. LWT—Food Sci. Technol. 2016, 65, 1109–1117. [Google Scholar] [CrossRef]
  40. Ruiz-Jorge, F.; Portela, J.R.; Sánchez-Oneto, J.; Martínez de la Ossa, E.J. Synthesis of Micro-and Nanoparticles in Sub-and Supercritical Water: From the Laboratory to Larger Scales. Appl. Sci. 2020, 10, 5508. [Google Scholar] [CrossRef]
  41. Incropera, F.P.; DeWitt, D.P.; Bergman, T.L.; Lavine, A.S. Fundamentals of Heat and Mass Transfer; Wiley: New York, NY, USA, 1996; Volume 6. [Google Scholar]
  42. Gerzhova, N.; Côté, J.; Blanchet, P.; Dagenais, C.; Ménard, S. A Conceptual Framework for Modelling the Thermal Conductivity of Dry Green Roof Substrates. BioResources 2019, 14, 8573–8599. [Google Scholar]
  43. Yuan, C.; Jin, Z.; Xu, X.; Zhuang, H.; Shen, W. Preparation and Stability of the Inclusion Complex of Astaxanthin with Hydroxypropyl-β-Cyclodextrin. Food Chem. 2008, 109, 264–268. [Google Scholar] [CrossRef]
  44. Raba, D.N.; Chambre, D.R.; Copolovici, D.-M.; Moldovan, C.; Copolovici, L.O. The Influence of High-Temperature Heating on Composition and Thermo-Oxidative Stability of the Oil Extracted from Arabica Coffee Beans. PLoS ONE 2018, 13, e0200314. [Google Scholar] [CrossRef] [PubMed]
  45. Foss, P.; Renstrøm, B.; Liaaen-Jensen, S. Natural Occurrence of Enantiomeric and Meso Astaxanthin 7∗-Crustaceans Including Zooplankton. Comp. Biochem. Physiol. Part B Comp. Biochem. 1987, 86, 313–314. [Google Scholar] [CrossRef]
  46. Gilchrist, B.M.; Lee, W.L. Carotenoid Pigments and Their Possible Role in Reproduction in the Sand Crab, Emerita analoga (Stimpson, 1857). Comp. Biochem. Physiol. Part B Comp. Biochem. 1972, 42, 263–294. [Google Scholar] [CrossRef]
  47. Bliss, D.E.; Mantel, L.H. Integument, Pigments, and Hormonal Processes: Volume 9: Integument, Pigments and Hormonal Processes; Academic Press: Cambridge, MA, USA, 2012; ISBN 978-0-323-13922-9. [Google Scholar]
  48. Franklin, A.M.; Marshall, J.; Feinstein, A.D.; Bok, M.J.; Byrd, A.D.; Lewis, S.M. Differences in Signal Contrast and Camouflage among Different Colour Variations of a Stomatopod Crustacean, Neogonodactylus oerstedii. Sci. Rep. 2020, 10, 1236. [Google Scholar] [CrossRef]
  49. Yuan, J.; Zhang, X.; Gao, Y.; Zhang, X.; Liu, C.; Xiang, J.; Li, F. Adaptation and Molecular Evidence for Convergence in Decapod Crustaceans from Deep-Sea Hydrothermal Vent Environments. Mol. Ecol. 2020, 29, 3954–3969. [Google Scholar] [CrossRef]
  50. Suh, Y.J.; Kim, M.-S.; Kim, S.-J.; Kim, D.; Ju, S.-J. Carbon Sources and Trophic Interactions of Vent Fauna in the Onnuri Vent Field, Indian Ocean, Inferred from Stable Isotopes. Deep Sea Res. Part Oceanogr. Res. Pap. 2022, 182, 103683. [Google Scholar] [CrossRef]
  51. Bucci, J.P.; Showers, W.J.; Rebach, S.; DeMaster, D.; Genna, B. Stable Isotope Analyses (δ15N and δ13C) of the Trophic Relationships of Callinectes sapidus in Two North Carolina Estuaries. Estuaries Coasts 2007, 30, 1049–1059. [Google Scholar] [CrossRef]
  52. Thompson, S.P.; Parker, J.E.; Tang, C.C. Thermal Breakdown of Calcium Carbonate and Constraints on Its Use as a Biomarker. Icarus 2014, 229, 1–10. [Google Scholar] [CrossRef]
  53. Declet, A.; Reyes, E.; Suárez, O.M. Calcium Carbonate Precipitation: A Review of the Carbonate Crystallization Process and Applications in Bioinspired Composites. Rev. Adv. Mater. Sci. 2016, 44, 87. [Google Scholar]
  54. He, H.; Li, Y.; Wang, S.; Ma, Q.; Pan, Y. A High Precision Method for Calcium Determination in Seawater Using Ion Chromatography. Front. Mar. Sci. 2020, 7, 231. [Google Scholar] [CrossRef]
  55. Von Damm, K.L. Seafloor Hydrothermal Activity: Black Smoker Chemistry and Chimneys. Annu. Rev. Earth Planet. Sci. 1990, 18, 173–204. [Google Scholar] [CrossRef]
  56. Lim, D.; Kim, J.; Kim, W.; Kim, J.; Kim, D.; Zhang, L.; Kwack, K.; Xu, Z. Characterization of Geochemistry in Hydrothermal Sediments from the Newly Discovered Onnuri Vent Field in the Middle Region of the Central Indian Ridge. Front. Mar. Sci. 2022, 9, 810949. [Google Scholar] [CrossRef]
  57. Jin, X.; Liu, C. Ecological and Taphonomical Influences on Coccoliths in Surface Sediments in the Shelf of the Yellow and East China Seas. Cont. Shelf Res. 2017, 140, 27–36. [Google Scholar] [CrossRef]
  58. Bubliy, O.A.; Kristensen, T.N.; Kellermann, V.; Loeschcke, V. Plastic Responses to Four Environmental Stresses and Cross-Resistance in a Laboratory Population of Drosophila melanogaster. Funct. Ecol. 2012, 26, 245–253. [Google Scholar] [CrossRef]
  59. van Heerwaarden, B.; Kellermann, V.; Sgrò, C.M. Limited Scope for Plasticity to Increase Upper Thermal Limits. Funct. Ecol. 2016, 30, 1947–1956. [Google Scholar] [CrossRef]
  60. Bouligand, Y. Sur Une Architecture Torsadee Repondue Dans de Nombreuses Cuticules d’arthropodes. Comptes Rendus Acad. Sci. 1965, 261, 3665–3668. [Google Scholar]
  61. Herakovich, C.T. Influence of Layer Thickness on the Strength of Angle-Ply Laminates. J. Compos. Mater. 1982, 16, 216–227. [Google Scholar] [CrossRef]
  62. Bentov, S.; Aflalo, E.D.; Tynyakov, J.; Glazer, L.; Sagi, A. Calcium Phosphate Mineralization Is Widely Applied in Crustacean Mandibles. Sci. Rep. 2016, 6, 22118. [Google Scholar] [CrossRef]
  63. Kobayashi, H.; Shimoshige, H.; Nakajima, Y.; Arai, W.; Takami, H. An Aluminum Shield Enables the Amphipod Hirondellea Gigas to Inhabit Deep-Sea Environments. PLoS ONE 2019, 14, e0206710. [Google Scholar] [CrossRef]
  64. Hernandez, I. Larval Dispersal and Life Cycle in Deep-Water Hydrothermal Vents: The Case of Rimicaris exoculata and Related Species. Ph.D. Thesis, Université de Bretagne Occidentale-Brest, Brest, France, 2016. [Google Scholar]
  65. Bracken-Grissom, H.D.; Cannon, M.E.; Cabezas, P.; Feldmann, R.M.; Schweitzer, C.E.; Ahyong, S.T.; Felder, D.L.; Lemaitre, R.; Crandall, K.A. A Comprehensive and Integrative Reconstruction of Evolutionary History for Anomura (Crustacea: Decapoda). BMC Evol. Biol. 2013, 13, 128. [Google Scholar] [CrossRef]
  66. Yang, J.-S.; Lu, B.; Chen, D.-F.; Yu, Y.-Q.; Yang, F.; Nagasawa, H.; Tsuchida, S.; Fujiwara, Y.; Yang, W.-J. When Did Decapods Invade Hydrothermal Vents? Clues from the Western Pacific and Indian Oceans. Mol. Biol. Evol. 2013, 30, 305–309. [Google Scholar] [CrossRef] [PubMed]
  67. Ren, F.; Hou, S.; Si, J. Failure Analysis of a Steam-Water Boiler. J. Phys. Conf. Ser. 2020, 1635, 012071. [Google Scholar] [CrossRef]
  68. Li, R.; Zarate, D.; Avila-Magaña, V.; Li, J. Comparative Transcriptomics Revealed Parallel Evolution and Innovation of Photosymbiosis Molecular Mechanisms in a Marine Bivalve. Proc. B 2024, 291, 20232408. [Google Scholar] [CrossRef] [PubMed]
  69. Hu, Y.; Wu, Q.; Ma, S.; Ma, T.; Shan, L.; Wang, X.; Nie, Y.; Ning, Z.; Yan, L.; Xiu, Y.; et al. Comparative Genomics Reveals Convergent Evolution between the Bamboo-Eating Giant and Red Pandas. Proc. Natl. Acad. Sci. USA 2017, 114, 1081–1086. [Google Scholar] [CrossRef]
  70. Lamichhaney, S.; Card, D.C.; Grayson, P.; Tonini, J.F.R.; Bravo, G.A.; Näpflin, K.; Termignoni-Garcia, F.; Torres, C.; Burbrink, F.; Clarke, J.A.; et al. Integrating Natural History Collections and Comparative Genomics to Study the Genetic Architecture of Convergent Evolution. Philos. Trans. R. Soc. B Biol. Sci. 2019, 374, 20180248. [Google Scholar] [CrossRef]
  71. Folmer, O.; Black, M.; Wr, H.; Lutz, R.; Vrijenhoek, R. DNA Primers for Amplification of Mitochondrial Cytochrome C Oxidase Subunit I from Diverse Metazoan Invertebrates. Mol. Mar. Biol. Biotechnol. 1994, 3, 294–299. [Google Scholar]
  72. Palumbi, S.R. Nucleic Acids II: The Polymerase Chain Reaction. In Molecular Systematics; Sinauer Associates: Sunderland, MA, USA, 1996; pp. 205–247. [Google Scholar]
  73. Giribet, G.; Carranza, S.; Baguñà, J.; Riutort, M.; Ribera, C. First Molecular Evidence for the Existence of a Tardigrada + Arthropoda Clade. Mol. Biol. Evol. 1996, 13, 76–84. [Google Scholar] [CrossRef]
  74. Colgan, D.; McLauchlan, A.; Wilson, G.; Livingston, S.; Edgecombe, G.; Macaranas, J.; Cassis, G.; Gray, M. Histone H3 and U2 snRNA DNA Sequences and Arthropod Evolution. Aust. J. Zool. 1998, 46, 419–437. [Google Scholar] [CrossRef]
  75. Edgar, R.C. MUSCLE: A Multiple Sequence Alignment Method with Reduced Time and Space Complexity. BMC Bioinform. 2004, 5, 113. [Google Scholar] [CrossRef]
  76. Castresana, J. Selection of Conserved Blocks from Multiple Alignments for Their Use in Phylogenetic Analysis. Mol. Biol. Evol. 2000, 17, 540–552. [Google Scholar] [CrossRef]
  77. Darriba, D.; Taboada, G.L.; Doallo, R.; Posada, D. jModelTest 2: More Models, New Heuristics and Parallel Computing. Nat. Methods 2012, 9, 772. [Google Scholar] [CrossRef] [PubMed]
  78. Hild, S.; Marti, O.; Ziegler, A. Spatial Distribution of Calcite and Amorphous Calcium Carbonate in the Cuticle of the Terrestrial Crustaceans Porcellio scaber and Armadillidium vulgare. J. Struct. Biol. 2008, 163, 100–108. [Google Scholar] [CrossRef] [PubMed]
  79. Borromeo, L.; Egeland, N.; Wetrhus Minde, M.; Zimmermann, U.; Andò, S.; Madland, M.V.; Korsnes, R.I. Quick, Easy, and Economic Mineralogical Studies of Flooded Chalk for Eor Experiments Using Raman Spectroscopy. Minerals 2018, 8, 221. [Google Scholar] [CrossRef]
  80. Tao, J.; Zhou, D.; Zhang, Z.; Xu, X.; Tang, R. Magnesium-Aspartate-Based Crystallization Switch Inspired from Shell Molt of Crustacean. Proc. Natl. Acad. Sci. USA 2009, 106, 22096–22101. [Google Scholar] [CrossRef] [PubMed]
  81. Zhukova, I.A.; Stepanov, A.S.; Korsakov, A.V.; Jiang, S.-Y. Application of Raman Spectroscopy for the Identification of Phosphate Minerals from REE Supergene Deposit. J. Raman Spectrosc. 2022, 53, 485–496. [Google Scholar] [CrossRef]
  82. Esmonde-White, K.A.; Mandair, G.S.; Raaii, F.; Jacobson, J.A.; Miller, B.S.; Urquhart, A.G.; Roessler, B.J.; Morris, M.D. Raman Spectroscopy of Synovial Fluid as a Tool for Diagnosing Osteoarthritis. J. Biomed. Opt. 2009, 14, 034013. [Google Scholar] [CrossRef]
  83. Li, Y.; Huang, W.; Pan, J.; Ye, Q.; Lin, S.; Feng, S.; Xie, S.; Zeng, H.; Chen, R. Rapid Detection of Nasopharyngeal Cancer Using Raman Spectroscopy and Multivariate Statistical Analysis. Mol. Clin. Oncol. 2015, 3, 375–380. [Google Scholar] [CrossRef]
  84. Lasalvia, M.; Perna, G.; Capozzi, V. Raman Spectroscopy of Human Neuronal and Epidermal Cells Exposed to an Insecticide Mixture of Chlorpyrifos and Deltamethrin. Appl. Spectrosc. 2014, 68, 1123–1131. [Google Scholar] [CrossRef]
  85. Guimarães, A.E.; Pacheco, M.T.T.; Silveira, L., Jr.; Barsottini, D.; Duarte, J.; Villaverde, A.B.; Zângaro, R.A. Near Infrared Raman Spectroscopy (NIRS): A Technique for Doping Control. Spectroscopy 2006, 20, 185–194. [Google Scholar] [CrossRef]
  86. Wang, D.; Hamm, L.M.; Bodnar, R.J.; Dove, P.M. Raman Spectroscopic Characterization of the Magnesium Content in Amorphous Calcium Carbonates. J. Raman Spectrosc. 2012, 43, 543–548. [Google Scholar] [CrossRef]
  87. Nekvapil, F.; Pinzaru, S.C.; Barbu–Tudoran, L.; Suciu, M.; Glamuzina, B.; Tamaș, T.; Chiș, V. Color-Specific Porosity in Double Pigmented Natural 3d-Nanoarchitectures of Blue Crab Shell. Sci. Rep. 2020, 10, 3019. [Google Scholar] [CrossRef] [PubMed]
  88. Shao, Y.; Gu, W.; Jiang, L.; Zhu, Y.; Gong, A. Study on the Visualization of Pigment in Haematococcus Pluvialis by Raman Spectroscopy Technique. Sci. Rep. 2019, 9, 12097. [Google Scholar] [CrossRef] [PubMed]
  89. Wijk, A.; Spaans, A.; Uzunbajakava, N.; Otto, C.; Groot, H.; Lugtenburg, J.; Buda, F. Spectroscopy and Quantum Chemical Modeling Reveal a Predominant Contribution of Excitonic Interactions to the Bathochromic Shift in α-Crustacyanin, the Blue Carotenoprotein in the Carapace of the Lobster Homarus gammarus. J. Am. Chem. Soc. 2005, 127, 1438–1445. [Google Scholar] [CrossRef] [PubMed]
  90. Prasad, A.; Chaichi, A.; Mahigir, A.; Sahu, S.P.; Ganta, D.; Veronis, G.; Gartia, M.R. Ripple Mediated Surface Enhanced Raman Spectroscopy on Graphene. Carbon 2020, 157, 525–536. [Google Scholar] [CrossRef]
Figure 1. Research was conducted on species (a), sampling sites (b), and phylogenetic relationships (c). The phylogenetic relationship was estimated using two specimens of each species based on BI and ML analysis using the combined data set (2101 bp) of mtCOI, mt16S rRNA, 18S rRNA, and H3 genes. The number at each node represents the bootstrap values from ML analysis, and the posterior probabilities from BI. The scale bar indicates phylogenetic distance of 0.03 nucleotide substitutions per site.
Figure 1. Research was conducted on species (a), sampling sites (b), and phylogenetic relationships (c). The phylogenetic relationship was estimated using two specimens of each species based on BI and ML analysis using the combined data set (2101 bp) of mtCOI, mt16S rRNA, 18S rRNA, and H3 genes. The number at each node represents the bootstrap values from ML analysis, and the posterior probabilities from BI. The scale bar indicates phylogenetic distance of 0.03 nucleotide substitutions per site.
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Figure 2. Mechanical properties and thickness ratio of each layer of the exoskeleton. (a) hardness, (b) reduced modulus, and (c) thickness ratio; mean ± SE; the significant difference is indicated by an asterisk (*).
Figure 2. Mechanical properties and thickness ratio of each layer of the exoskeleton. (a) hardness, (b) reduced modulus, and (c) thickness ratio; mean ± SE; the significant difference is indicated by an asterisk (*).
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Figure 3. Crustacean exoskeleton (endocuticle layer) compound analysis graph through Raman analysis.
Figure 3. Crustacean exoskeleton (endocuticle layer) compound analysis graph through Raman analysis.
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Figure 4. Thermal stability analysis results. (a) TGA curve of crustaceans and each combusting substance on each range. Weight loss (%) for each temperature range: (b) Range 1, Range 2, and Range 3; mean ± SE; the significant difference is indicated by an asterisk (*).
Figure 4. Thermal stability analysis results. (a) TGA curve of crustaceans and each combusting substance on each range. Weight loss (%) for each temperature range: (b) Range 1, Range 2, and Range 3; mean ± SE; the significant difference is indicated by an asterisk (*).
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Table 1. Detail sample information.
Table 1. Detail sample information.
InfraorderSpeciesLat.Long.Date (yyyy.mm.dd)Depth (m)N 1Size 2 (mm)HabitatRef.
AnomuraMunidopsis lauensis11.24S66.25E2019.06.282014325.16 ± 0.24Vent[13]
11.24S66.25E2019.07.0120231VentThis study
BrachyuraAustinograea sp.11.24S66.25E2019.06.29201433.42 ± 0.02Vent[10]
AnomuraElassochirus cavimanus36.20N129.41E2022.09.01100318.45 ± 1.56Coastal[13]
BrachyuraCharybdis japonica37.45N126.60E2020.04.06<5035.74 ± 0.03Coastal[10]
BrachyuraPortunus trituberculatus37.45N126.60E2021.06.21<503126.31 ± 2.98CoastalThis study
-Oratosquilla oratoria34.61N127.72E2020.06.30<503171.5 ± 0.75CoastalThis study
1 Sample size; 2 carapace width.
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Cho, B.; Jang, S.-J.; Hwang, H.-s.; Kim, T. Convergent Evolution of Armor: Thermal Resistance in Deep-Sea Hydrothermal Vent Crustaceans. Biology 2024, 13, 956. https://doi.org/10.3390/biology13120956

AMA Style

Cho B, Jang S-J, Hwang H-s, Kim T. Convergent Evolution of Armor: Thermal Resistance in Deep-Sea Hydrothermal Vent Crustaceans. Biology. 2024; 13(12):956. https://doi.org/10.3390/biology13120956

Chicago/Turabian Style

Cho, Boongho, Sook-Jin Jang, Hee-seung Hwang, and Taewon Kim. 2024. "Convergent Evolution of Armor: Thermal Resistance in Deep-Sea Hydrothermal Vent Crustaceans" Biology 13, no. 12: 956. https://doi.org/10.3390/biology13120956

APA Style

Cho, B., Jang, S. -J., Hwang, H. -s., & Kim, T. (2024). Convergent Evolution of Armor: Thermal Resistance in Deep-Sea Hydrothermal Vent Crustaceans. Biology, 13(12), 956. https://doi.org/10.3390/biology13120956

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