Morphological and molecular tools were combined to resolve the misidentification between Glycymeris glycymeris and Glycymeris pilosa from Atlantic and Mediterranean populations. The ambiguous literature on the taxonomic status of these species requires this confirmation as a baseline to studies on their ecology and sclerochronology. We used classical and landmark-based morphometric approaches and performed bivariate and multivariate analyses to test for shell character interactions at the individual and population level. Both approaches generated complementary information. The former showed the shell width to length ratio and the valve asymmetry to be the main discriminant characters between Atlantic and Mediterranean populations. Additionally, the external microsculpture of additional and finer secondary ribs in G. glycymeris discriminates it from G. pilosa. Likewise, landmark-based geometric morphometrics revealed a stronger opisthogyrate beak and prosodetic ligament in G. pilosa than G. glycymeris. Our Bayesian and maximum likelihood phylogenetic analyses based on COI and ITS2 genes identified that G. glycymeris and G. pilosa form two separate monophyletic clades with mean interspecific divergence of 11% and 0.9% for COI and ITS2, respectively. The congruent patterns of morphometric analysis together with mitochondrial and nuclear phylogenetic reconstructions indicated the separation of the two coexisting species. The intraspecific divergence occurred during the Eocene and accelerated during the late Pliocene and Pleistocene. Glycymeris pilosa showed a high level of genetic diversity, appearing as a more robust species whose tolerance of environmental conditions allowed its expansion throughout the Mediterranean.
Citation: Purroy A, Šegvić-Bubić T, Holmes A, Bušelić I, Thébault J, Featherstone A, et al. (2016) Combined Use of Morphological and Molecular Tools to Resolve Species Mis-Identifications in the Bivalvia The Case of Glycymeris glycymeris and G. pilosa. PLoS ONE 11(9): e0162059. https://doi.org/10.1371/journal.pone.0162059
Editor: Geerat J. Vermeij, University of California, UNITED STATES
Received: June 13, 2016; Accepted: August 16, 2016; Published: September 26, 2016
Copyright: © 2016 Purroy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: AP and AF were funded by the European Union Seventh Framework Programme (FP7-PEOPLE-2013-ITN, http://ec.europa.eu/rea/index_en.htm, grant agreement number: 604802, ARAMACC “Annually Resolved Archives of Marine Climate Change,” http://aramacc.com/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Mollusc shells have been recognized as useful archives of environmental data spanning in time from several years to millennia [1–3]. Based on their widespread distribution, from polar to tropical regions, and from freshwater to saltwater ecosystems, bivalve shells can provide valuable information pertinent to the reconstruction of environmental variations . Sclerochronological analysis of bivalve shells includes the investigation of interannual variations in growth increment widths as well as variations in geochemical composition and these studies have developed rapidly over the past decade . The longest-lived bivalve, Arctica islandica (Linnaeus, 1767), has been extensively used for sclerochronology in the North Atlantic and the maximum longevity of this species has been estimated at 507 years [1–2,6–7]. The potential for another species to act as a paleoenvironmental archive, Glycymeris glycymeris (Linnaeus, 1758), has been recently tested in the Irish Sea , NW France  and NW Scotland . The expansion of sclerochronological studies into the Mediterranean requires identification of bivalve species that could be used as paleoenvironmental archives. Studies on species of Glycymeris are especially important since there are no comparable long-lived bivalves in the Mediterranean. In addition, species of glycymerids are locally abundant both alive as well as in in the fossil record [10–13]. To date, studies on Glycymeris in this region are few and only one growth chronology, that for G. bimaculata (Poli, 1795), has been published .
The coexistence of two other species, Glycymeris glycymeris and Glycymeris pilosa (Linnaeus, 1767) hamper their use as proxies because they have been historically misidentified. An uncertain distribution and frequency of G. glycymeris in the Mediterranean has been recognized due to confusions with another species of the same genus—G. pilosa . Other studies considered them as two forms of the same species because of their heavy and globose shapes (see description in ). There is no doubt about the presence of G. glycymeris in the North Atlantic, however, its presence in the Mediterranean has been poorly documented and there is a lack of studies on living individuals. Likewise, there are discrepancies whether or not G. pilosa (but treated as G. glycymeris) has been historically collected from the Eastern Atlantic. Some systematic papers have classified G. pilosa as a variety of G. glycymeris [17–18]. According to the Check List of European Marine Mollusca , both species are still considered as synonyms. Abundant populations of G. pilosa can be found in the Adriatic Sea. They have, however, been mistakenly identified as G. glycymeris in earlier studies . Only during the last decade, have taxonomists started to identify them as two different species based on morphological characters [16,20]. The World Register of Marine Species , aiming to resolve critical issues of nomenclature, also considers them to be distinct species. For this reason, clarifying the erroneous consideration of G. glycymeris and G. pilosa as synonymous is essential for any further studies on sclerochronology and ecology.
According to the literature, Glycymeris glycymeris is distributed in the Northeast Atlantic (the Hebrides, Faroe Islands, Norway, North Sea, English Channel and Bay of Biscay), the Azores, Canaries and Madeira Archipelago’s and the Mediterranean. Likewise, Glycymeris pilosa has been recorded from Western Sahara, Mauritania, Madeira and the Canaries Archipelago’s and the Mediterranean Sea (up to Israel) [15–16,18,20,22].
Glycymerids are descendants of the ancient Arcoidea, a distinct lineage that was established early in the radiation of the Bivalvia [23–24]. Since its appearance during the Cretaceous (~130 Ma), fossil individuals seem to occupy similar ecological ranges to the present species in the North Atlantic, which could be explained by generic conservatism . They are not as specialized anatomically as other bivalves; instead, they have adapted to physically harsh environments evidencing their role as functional generalists . The high degree of conservatism expressed by the genus Glycymeris, not only in terms of their morphology  but also reflected in shell ultrastructure , and a slow adaptation to different environments have added difficulties to the process of distinguishing species. Often, the variation between species is determined by differences in size and external sculpture. Such changes may have been triggered by adaptations to different environments and can be detected using both morphological and molecular phylogenetic tools (i.e. molecular clock) . Species of Glycymeris have a very robust shell and prefer gravel to hard substrata under strong current regimes rather than in fine sediments and calm waters . They are shallow burrowers with mainly nocturnal behaviours . Earlier studies quantitatively measured and interrelated a wide range of glycymerids shell characters . Aiming to classify species of Glycymeris, Goud & Gulden  selected certain distinctive morphological traits to distinguish between G. glycymeris from G. pilosa. Some of these traits coincided with those espoused in Thomas  but they also introduced others including shell microsculpture measurements of primary and secondary rib counts, which, it transpired, were species-uniform and distinct. The importance in modern taxonomy of DNA analyses contrasts with morphological studies in biodiversity research . The exclusive reliance on one or other method may, however, fail to detect variations. Comprehensive studies including morphometrics and molecular analyses may, therefore, provide a more accurate approach to species discrimination. The genetic analyses of bivalve species identifications have been used recently to correct mislabeling [28–29]. The identification of molecular markers (i.e. mitochondrial and nuclear genes) has also been used to track genetic diversity and population structure [24,30–31]. Other methods such as the molecular clock have been used to describe phylogenetic relationships and evolutionary histories [32–34].
The aim of this study was to resolve the historical misidentification of G. pilosa in the Mediterranean and corroborate its separation from G. glycymeris as distinct species by combining morphometric and genetic analyses. This has been achieved by measuring several characters, following classical and landmark-based approaches, and through mitochondrial (COI) and nuclear (ITS2) markers.
Materials and Methods
Atlantic specimens came from the Isle of Man (54° 26’ 54.49” N, 4° 20’ 21.73” W) issued by the Department of Environment, Food and Agriculture (authorization n°SF204.011/2015), and from the Bay of Brest (48°20’ 29.88” N, 4°30’ 45.66” W) issued by the Directorate of Maritime Affairs (authorization n°101/2014), hereafter referred to as UK and France groups, respectively. Mediterranean samples were collected in two locations along the eastern Adriatic coast in Croatia: Pag Bay (44° 27’42” N, 15°01’36”E) and Pašman Channel (43°56’49”N, 15°23’18” E) issued by the Ministry of Science, Education and Sport (authorization n°533-19-14-0008/2014 and 533-19-14-0006/2015), hereafter referred to as Pag and Pašman sample groups, respectively. Unfortunately we were unable to collect specimens of both species neither in the Atlantic nor the Mediterranean.
A total of 107 shells classified as either G. glycymeris or G. pilosa were live collected. Samples from UK and France represented two groups of G. glycymeris (17 and 30 specimens, respectively), whereas two groups of G. pilosa came from Pag and Pašman (30 specimens from each location) (Fig 1). Due to logistical constraints (limited to one sampling cruise) and physical damage during handling, sample size of the UK population was smaller. Monthly sampling was performed at other sites ensuring enough samples in good condition. All morphometric measurements were conducted on the right valve (identified according to the position of the beaks, turned towards the posterior end of the valves; ). Samples from collections in the National Museum of Wales, Cardiff were also used for corroboration of measurements. All material examined with accession number beginning NMW.Z is held in the collections at the NMW and is available for institutional loan on request. The remaining material is held at the Institute of Oceanography and Fisheries (IOF), Split (S1 Table).
Classic and novel morphometric analyses were chosen based on the bidimensional and tridimensional approaches of each method, to explore the range of morphological variation. Due to the absence of sexual dimorphism in the shell, males and females were treated indistinguishably . To identify shell morphometric relationships among populations we conducted bivariate and multivariate analysis.
Classical morphometric analysis.
The basis for the selected morphological data came from Thomas . This study described the evolutionary conservatism of the Glycymerididae family by looking at the interrelationships of shell characters (Fig 2). The characters were measured with a digital caliper (accuracy of ± 0.02 mm). Additional morphological characters were included based on sculptural traits (e.g. rib counts). This step was introduced in our analyses because Goud & Gulden  counted the number of secondary ribs within a primary rib to separate Glycymeris species; however, we were unable to consistently see the primary ribs clearly enough to be able to use this as a unit of measurement for the secondary ribs. Instead, a fixed length of shell (5 mm) was counted for secondary ribs. Externally, measuring 30 mm from the beak to the middle external of the valve, a marker measuring 5 mm was temporarily adhered at a right angle to the secondary ribs. In this way a consistent distance of shell was counted for secondary ribs. A tiny sticker marked with a 5 mm ruler curved with the shell to get an accurate count for each specimen. This method also ensured that if secondary ribs increased with age and hence closer to the ventral part of the shell, then shells of different sizes/ages could still be used in the count, provided they were not smaller than 30 mm in height.
Height of shell (measured from umbo)(1), height of anterior extremity (2), height of posterior extremity (3), length of shell (4), anterior length (5), posterior length (18), asymmetry (5/18), height of ligamental area (6), length of ligamental area (7), median height of hinge plate (directly below umbo)(8), height of ligamental area / height of hinge plate (6/8), height of anterior tooth row (15), height of posterior tooth row (16), distance between last anterior and posterior teeth (14), height of anterior adductor scar (9), length of anterior adductor scar (10), area of anterior adductor scar (9*10/2), height of posterior adductor scar (11), length of posterior adductor scar (12), area of posterior adductor scar (11*12/2), distance between inner margins of adductor scars (13), adductor moment = sum of adductor scar areas*mean distance from hinge axis, height of crenulated extra-pallial margin (17) and the width (W). Measurements taken for each morphometric character adopted from Thomas (1975) with permission from the Palaeontological Association. Right valve of a Glycymerid.
To reduce redundancy in the Principal Component Analysis (PCA), we used Pearson correlation coefficients (through linear regression analyses) for data exploration. Those characters from the morphometric dataset that expressed more significant linear relationships among the populations were computed as ratios for a size free shape multivariate analyses. A PCA was performed after data standardization on: shell width to shell length (W/L), shell length to shell height (L/H), asymmetry to shell height (A/H), height of ligament to shell height (HL/H), height of ligamental area to shell height (LA/H), length of ligamental area to shell length (LL/L), area to shell size ratio of both the anterior and posterior adductor muscles (AM/S & PM/S), height of the crenulated extra-pallial margin to shell height (M/H) and the log of the adductor moment (logAM) to find those variables contributing the most to the individual variability. Due to the wide range of variables at different scales a correlation matrix was used in the PCA. A Linear Discriminant Analysis was sought to discriminate differences among populations. Statistical analyses were carried out using the open software PAST v3.0 .
Landmark-based geometric morphometrics (GM).
The GM analyses implemented in software MorphoJ  were used to quantify shape variation from 60 images of Glycymeris sp. from different localities (15 samples from each group). For all specimens, the inner side of the right valve was photographed and digitized with the software TPS dig2 . From these images 12 landmarks and 2 semi-landmarks were defined (Fig 3). Landmarks were subjected to a standard generalized Procrustes alignment to remove differences between specimens based on scale, rotation, and location. A PCA was also applied to the Procrustes coordinates to explore variation in the shape components. Multivariate regression of shape with centroid size as the independent variable was computed to assess intrapopulation allometry. Permutation test with 10,000 rounds was used to evaluate the independence between the shape and size variables. Finally, a canonical variate analysis (CVA) was performed to find out which shell shape features best discriminated between species.
Sampling and DNA extraction
Based on the preliminary morphological determination, 15 specimens from each location were allocated for DNA sequencing. In addition, two specimens of G. nummaria (Adriatic origin) and two of G. bimaculata (from Balearic and Adriatic Seas) were sampled for phylogenetic analysis. Adductor muscle samples were stored in 96% ethanol. Genomic DNA was extracted from 30–50 mg of tissue using the DNeasy Tissue Kit (Qiagen Inc.) following the manufacturer’s protocol. Two molecular markers were analyzed; internal transcribed spacer 2 (ITS2) rDNA was amplified according to Oliverio & Mariottini  while a partial fragment of the mitochondrial cytochrome c oxidase subunit I gene (COI) was amplified following Folmer et al. . Products sequencing were performed by Macrogen Inc. (Seul, Korea) on an ABI 3730 automatic sequencer.
From GenBank database, 5 species of Arcida (Arca ventricosa, Accession number AB076935.1; Tegillarca granosa, HQ896817.1; Cucullaea labiata, AB050892.1; Cosa waikikia, AB084107.1; G. glycymeris, KC429093.1) were additionally used as ingroup samples for COI reconstruction while two pteriomorph species from different orders (Isognomon legumen, AB076950.1; Spondylus gaederopus, JF496776.1) and the protobranch Nucula atacellana (KJ950273.1) were chosen as outgroups (see ). To fulfill ITS2 data set, G. glycymeris (FN667988.1) originating from Tuscan Archipelago, Mediterranean Sea  were used to accommodate intra family analysis.
Sequences were screened using BLAST searches (ncbi.nlm.nih.gov), trimmed and aligned in ClustalW 2.1 . All new haplotypes have been deposited in GenBank database under Accession numbers: KX785175-KX785221.
Genetic diversity and phylogenetic analyses
Molecular diversity was measured using Dnasp 5.10  calculating the number of haplotypes (H), polymorphic sites (S), haplotype and nucleotide diversity. Intra- and interspecific distance was calculated in MEGA6 . The demographic histories for G. glycymeris and G. pilosa were tested using Tajima’s D  and Fu’s FST , where negative values indicated population expansion or historical bottleneck . The significance of tests were assessed using 10,000 samples simulated under a model of constant population size in Arlequin 184.108.40.206 .
Phylogenetic reconstructions were estimated using maximum likelihood (ML) and Bayesian (BI) analysis on COI and ITS2 datasets. jModelTest  was used to determine the most suitable model of sequence evolution under the Akaike information criterion (AIC). The general time reversible with the gamma distribution shape parameter (GTR+G) model was chosen for COI gene and Jukes–Cantor  for ITS2 gene. A BI tree was constructed using MrBayes 2.0.6  as implemented in Geneious (v. 2.0.3) running at least two independent Monte Carlo Markov Chain (MCMC) analyses with 2,200,000 generations sampled every 400 generations, with a 200,000 tree burn-in. Maximum likelihood trees were constructed using the PhyML  plug-in of Geneious with the BEST topology search option and 1000 bootstrap replicates.
Divergence time estimates
Divergence times of G. glycymeris and G. pilosa were estimated using BEAST 1.8.1  as implemented on the CIPRES web portal , on the COI dataset. In respect to Combosch & Giribet , three fossil-based calibration points were used: (i) the root age of Bivalvia between 520.5 and 530 Ma, (ii) the age of Arcida at 478.6 (±5) Ma based on Glyptarca serrata , and (iii) the age of Glycymerididae at 167.7 (±5) Ma based on Trigonarca tumida . Analyses were performed under relaxed uncorrelated lognormal clocks and a constant size coalescent population model. These priors were selected according to the Bayes factors from TRACER 1.6  calculated to compare models, although all tested models including strict or relaxed molecular clock combined to exponential growth coalescent population model or Yule process speciation model produced similar divergence time estimates. Four independent runs with MCMC chain length of 5×107 were conducted, sampling every 5×103 generations. Convergence diagnostics were checked using  and phylogenetic trees were summarized in a target tree by the Tree Annotator program included in the BEAST package by choosing the tree with the maximum clade credibility after a 50% burn-in.
DNA-based species delimitation
For single marker species delimitation (COI), coalescent tree-based methods as the generalized mixed Yule-coalescent model (GMYC; see ) and the Poisson tree process model (bPTP; see ) were applied in order to identify the number of phylospecies. The GMYC analysis was conducted using R Statistical Platform , with the use of splits package. The input for the GMYC was an ultrametric single locus gene tree obtained with BEAST . The coalescent tree-based bPTP method was performed using the web interface available at http://species.h-its.org/ptp/ on the Bayesian majority-rule consensus non-ultrametric tree as input.
Classical morphometric variables showed significant differences among populations (MANOVA, Wilk’s Lambda test, F = 17.43, P < 0.001). As a result of bivariate analysis among all the 24 measured characters, the dataset to carry out PCA was reduced to those areas representing the umbo region, adductor muscles and shell dimensions contributing in a total of 10 ratios (W/L, L/H, A/H, HL/H, LA/H, LL/L, AM/S, PM/S, M/H, logAM). Linear regression analyses indicated the shell width to be highly correlated with the shell length in populations of G. pilosa (r > 0.94, p < 0.001, with a R2> 0.89) and somewhat less for G. glycymeris (r > 0.77, p < 0.001, with a R2 = 0.57). Geographically, Pag presented the most dispersed data. The height of the ligament to shell height showed a high correlation in all populations except Pašman (R2 > 0.66, p < 0.001 and R2 = 0.32, p < 0.05, respectively). Contrary, the shell length to shell height (R2 > 0.85, p < 0.001), the length of the ligamental area to shell height (R2 > 0.59, p < 0.001), anterior adductor muscle area to shell height (R2 > 0.61, p < 0.001) and the log of the adductor muscle (R2 > 0.82, p < 0.001) did not distinguish among populations. Asymmetry, marked major differences between Atlantic (R2 > 0.81, p < 0.001,) and Mediterranean (R2 < 0.08, p > 0.05) populations, where the later was the most asymmetric. UK appeared as the most symmetric population (R2 = 0.25, p > 0.05) and Pašman as the most asymmetric (R2 = 0.06, p > 0.05). The length of the ligament indicated a greater correlation to shell length for shells from Brest, UK and Pag (R2 > 0.86, p < 0.001), while data were a bit more dispersed for Pašman (R2 < 0.64, p < 0.001). The margin height (R2 > 0.51, p < 0.001) and the posterior adductor muscle area (R2 > 0.63, p < 0.001) showed a high correlation to shell height for Brest, UK and Pašman populations. Population in Pag appeared less correlated for these features (R2 = 0.16, p < 0.05 and R2 = 0.37, p < 0.001, respectively). The first Principal Component (PC 1) explained 57.4% of the variation (eigenvalue 5.74), weights on W/L, A/H, L/H, LL/L, PM/S, M/H and the logAM were highly positively. The weightings for PC 2 (eigenvalue 1.67) indicated LA/H and HL/L to be the most important, explaining a 16.7% of the variation (Fig 4).
Symbols were assigned to each population: Glycymeris glycymeris (black inverted triangle, UK; grey inverted triangle, France) and Glycymeris pilosa (black circle, Pag; grey circle, Pašman).
The first linear discriminant (LD 1) explained the majority of the total variance (90.96%) (S1 Fig). The Confusion matrix in LDA (Table 1) showed that misplacements of individuals in populations of the same species represented 6.6%, 17.6%, 3.3% and 26.6% for Brest, UK, Pag and Pašman populations, respectively. The intraspecies variability was higher for G. pilosa.
Concerning the microsculpture, G. pilosa had a more robust, rugged sculpture compared to the finer reticulate sculpture of G. glycymeris (Fig 5). A total of five specimens each of Pašman, Pag, Isle of Man and Brest samples were used to determine if the secondary ribs differed between shells collected at different locations (Table 2).
The white line is used as a scale of 5mm. Measured populations correspond to (a) Pašman, (b) Pag, (c) UK and (d) Brest.
Pag Bay and Pašman Channel, the two populations of G. pilosa, fall between 10–15 secondary ribs per 5 mm. Isle of Man and Brest, the two populations of G. glycymeris, fall between 22–28 per 5 mm. This is consistent with other specimens of Glycymeris from other locations from the collections of the National Museum of Wales and other populations of G. pilosa collected from Istria and Cetina River. Additional material from the museum collection was included in the measurements (S1 Table).
Following the landmark-based geometric morphometrics, growth allometry of the Glycymeris sp. was observed and accounted for 14% of the total amount of shape variation. The resulting PCA revealed that the first two components PC 1 and PC 2 (eigenvalues 0.0015 and 0.0010) explained 29.5% and 19.3% of the total variability among the landmarks, on all analyzed specimens (Fig 6). At the primary axis of variation (PC 1), segregation by the species (G. glycymeris vs. G. pilosa) was observed, and it mainly described changes in the umbo region and enlargement of the posterior-ventral axis of the shell. The second PC axis was related to the development of the ligament area and elongation of the anterior region. The shell shape variations among species from different localities were successfully discriminated using CVA (Fig 6). All groups differed significantly between each other as revealed by permutation testing of Procrustes distances. The morphological differentiation measured by Procrustes distance was similarly large between the G. glycymeris from both sampling locations and G. pilosa from Pašman (0.09) or Pag (0.06), respectively. The population distances within species (G. glycymeris from UK vs. France, G. pilosa from Pag vs. Pašman) were similar and considerably smaller (0.05–0.04). The first canonical axis (CV 1) explained the majority of the total variance (75%). Depicting the between species changes along discriminant functions by warped outline drawings revealed that shape was altered most in umbo and upper posterior-anterior region (Fig 6).
Plot of the principal components (PCs) based on Procrustes distances (a). Shape changes associated with the PCs are shown as extreme shell shapes representing the positive and negative end of each axis. Percentages of explained variance for each axis are in parentheses. Plot of the canonical variate analysis (CVs) of overall shell shape variation along the first 2 canonical axes (b). Wrapped outline drawings show shape changes associated with variation along first axis. Glycymeris glycymeris (black inverted triangle, UK; grey inverted triangle, France) and Glycymeris pilosa (black circle, Pag; grey circle, Pašman). Percentages of explained variance for each axis are in parentheses.
Complementary, images of both shell valves are shown in Fig 7, represented by one specimen from each population.
Fragments of 669 and 299 bp were obtained for COI and ITS2 genes, respectively. A total of 16 COI haplotypes and three ITS2 haplotypes were identified among G. glycymeris dataset. The COI gene contained 15 variable sites, whereas the ITS2 gene contained only two variable sites. For the G. pilosa dataset, a total of 32 variable sites and 19 haplotypes were identified for COI gene while the ITS2 gene contained only one variable site and two haplotypes. Genetic diversity indices for each gene and species are summarized in S2 Table, indicating that COI displayed quite higher values of both haplotype and nucleotide diversities (h = 0.96; π = 0.056) in comparison to the nuclear gene (h = 0.62; π = 0.005). For both genes, the most common haplotypes of G. glycymeris and G. pilosa were presented in both sampling locations (S3 Table). COI interspecific divergence accounted for 11% and for ITS2 was 0.9%, respectively. Mean intraspecific divergence in the G. glycymeris dataset were 0.4% (COI) and 0.04% (ITS2), while in the G. pilosa were 1.1% (COI) and 0.1% (ITS2), respectively.
Neutrality tests applied to search demographic species pattern revealed significant negative values for Tajima’s D and Fu’s FST for both G. glycymeris and G. pilosa, indicating a recent expansion of mtDNA haplotypes (S3 Table).
For COI gene, the dated topology (BEAST), Bayesian and ML analysis gave congruent results. Phylogenetic reconstructions distinguished four strongly supported species of Glycymerididae (bootstrap support 97% to 99%, posterior probabilities 0.95–0.99) in the ingroup (Fig 8). Also, the analyses of COI data supported close relationship between G. glycymeris and G. bimaculata, having G. pilosa species as a sister clade. By contrast, deep genealogical divergence among G. nummaria and other Glycymeris species were recorded. The ITS2 tree (S2 Fig) was much less resolved, with three well-supported groups recognized, among which G. glycymeris and G. bimaculata were grouped into one clade. The G. glycymeris specimen (FN667988.1) originating from Tuscan Archipelago, Mediterranean Sea was assigned in G. pilosa clade, suggesting species mislabeling in the GenBank database.
Illustration of tree topology based on COI haplotypes of G. glycymeris (Gg), G. pilosa (Gp), G. nummaria (Gn), G. bimaculata (Gb) and outgroups. Posterior probabilities followed by bootstrap values are included at the nodes. The origin of the haplotypes (H) is indicated as follow: UK, United Kingdom; FR, France; AD, Adriatic Sea; AT, Atlantic Sea; PA, Pag; PS, Pašman.
The divergence time for G. nummaria clade was estimated to occur at around 142 Ma (95% highest posterior density interval [HPD] 132.5–151.5), while divergence of G. pilosa clade at one side and G. glycymeris and G. bimaculata clades on the other, started to occur at around 46 Ma (95% HPD 20.9–80.1). The divergence time of G. glycymeris and G. bimaculata clades was dated around 25.3 Ma (95% HPD 9.5–45.3). Intraspecific haplotype divergence of G. pilosa started to occur 7 Ma (95% HPD 2.7–11.8) with the major haplotype diversification observed during late Pliocene and Pleistocene (0.4–3.0 Ma). Intraspecific divergence in the G. glycymeris clade also predates the Pleistocene (0.4–2.5 Ma) (S3 Fig).
Both species delimitation analyses performed by implementing the coalescent tree-based approach (GMYC and bPTP) produced similar results and provided strong support for the a priori defined morphospecies. The GMYC model delimited 11 species (4 Glycymeris and 7 outgroup species) with a confidence interval of 9 to 13, and exhibited a significantly better likelihood than the null model (ML GMYC = 648.6, lnL NULL = 656.5; p-value < 0.001), pointing that a boundary between and within species was identified. The bPTP method identified on average 12.5 species (estimated number of species between 9 and 17) by simple heuristic search, resulting in Bayesian support values above 0.8.
The combination of two morphometric analyses (classical and GM approaches) and the use of molecular tools allowed the identification of G. pilosa, avoiding confusion with G. glycymeris and selecting the main features that distinguish them. The tridimensional nature of using the classical method alongside the landmark-based approach allowed measurement of width to length ratio (W/L), which became one of the main discriminant traits, while at the same time pointing out the variations in the umbo region and the ligamental area, which otherwise would have been hidden. Based on our results a set of 7 characters explained nearly 50% of the individual variation that distinguished G. glycymeris from G. pilosa (Fig 4). The bivariate analyses allowed identifying the morphological meaning of these characters indicating that Mediterranean populations presented a more globose and posterior-ventral elongated shell. UK specimens were the most symmetric population, whereas Pašman was the most asymmetric. Pašman specimens also showed an allometric growth in other characters such as the height of the ligament to shell height ratio (HL/H) or the length of the ligament to shell length (LL/L). Allometry has a greater effect in larger individuals, usually together with an elongation of the posterior-ventral margin . Accordingly, our results were consistent with these observations since individuals from Pašman, were also the largest specimens. However, glycymerids present a very high individual variation in asymmetry, which might be site or size specific ; thus, this character (A/H) should be considered along with others before assuming it distinguishes between species. In the PCA analyses, the ligamental length to shell length ratio (LL/L), the length to height ratio (L/H) and the logAM strongly separated the Mediterranean and the Atlantic populations; however, this separation contrasted with the high correlation of these three variables observed in all populations; thus, they should not be used alone for species distinction. The trend for the length to height ratio was also observed in other studies . The dimyarian condition of Glycymeris, characterized by the presence of two adductor muscles, was not a distinctive character for most populations neither in the anterior and posterior adductor muscle dimensions nor the log of the adductor moment. Our results indicated muscle sizes to be constant through ontogeny based on the differences in size as described in other studies (see ). LDA confirmed differences among populations and species and also showed the magnitude of the intraspecific variation.
The GM analyses showed that the beaks appeared strongly opisthogyrate, that is, pointing towards the posterior margin and this feature was more evident in G. pilosa than in G. glycymeris, as previously observed [20,16]. A prosodetic condition of the ligament (ligament lying in front of the beak) was more marked in G. pilosa rather than G. glycymeris (amphidetic to slightly prosodetic), a feature that wasn’t contemplated in the classical approach but it appeared as an outstanding variable in PC 2 (Fig 6). This secondary component of variation is explained by the measurement of adult individuals; prosodetic ligament is a character mostly manifested in juveniles of G. pilosa, thus, it could be a weak distinctive character . Our results corroborated this observation and do not support the statement that the ligament condition is a clear feature to distinguish between species, at least, if age is not taken into consideration [18,23].
The use of secondary ribs has been previously used to differentiate between Glycymeris sp. [20,59]. These differences were corroborated in our detailed observation on microsculpture, which allowed distinguishing between species; G. glycymeris presented a finer sculpture and thus, a higher number of ribs, than G. pilosa. Additionally, information from live collected specimens can be useful for a reliable identification of species. Associated with the microsculpture is the distribution of the periostracum, a very distinctive trait from live collected specimens, with a greater length and density of periostracal hairs and a velvety appearance in G. pilosa and finer and less hairy in G. glycymeris. Of course, periostracum is not preserved in fossils. A complementary morphological feature in living specimens is their coloration. Whereas G. glycymeris tend to present reddish zigzag bands over a light yellow to dark brown bottom on the outer shell surface, G. pilosa varies from light to dark brown background where zigzag bands are hard to identify  (A.Purroy pers. obs.). The interior of the valves is normally paler in G. glycymeris whereas G. pilosa presents a partial or complete dark brown to violet coloration blotch, covering at least the posterior ventral area. This coloration studied in G. nummaria and G. bimaculata was reported by Crnčević  and Eterović  to be caused by endolith activity.
Aiming to enable the application of our morphometric results, the following summarized statements can be of assistance when discriminating between both species. Globosity (W/L) and posterior-ventral elongation—measured as asymmetry—(A/H) were more evident in G. pilosa although they should not be stand-alone characters for species discrimination since allometry and individual variation may have a great effect. Measurements on the length and height of the ligamental area with respect to shell length (LL/L) and height (LA/H) on the first, and to shell height (HL/H) on the latter were not very indicative of differences, except in the population with largest specimens (Pašman) where HL/H and LL/L were less correlated. Further, observations on the ligamental condition showed to be slightly prosodetic in G. pilosa, although it is a character mostly manifested in juveniles thus a weak distinctive trait by itself. The strongly opisthogyrate beaks were more evident in G. pilosa. In contrast, both adductor muscle dimensions were quite constant through ontogeny and they would not be distinctive. Complementary, when considering both living and well-preserved fossils, looking at the secondary ribs present on the microstructure appeared to be a very reliable one, showing a higher number and a finer sculpture in G. glycymeris. In addition, on the periostracum, G. pilosa presents a greater length and density of periostracal hairs, quite distinguishable in live-collected specimens. Also, on the outer shell surface, the characteristic reddish zigzag bands over yellow to dark brown bottom from glycymerids, which was observed in G. glycymeris, were much lighter or absent in G. pilosa. Further, the inner valve presents a brown to violet coloration blotch in most specimens whereas is paler in G. glycymeris. Altogether, the main discriminant traits when measured along were the globosity, and the umbo and ligamental areas. Clearly, a well-preserved shell increases the confidence in discriminating between species.
The congruent patterns of mitochondrial and nuclear phylogenetic reconstructions indicated the separation of the two co-existing species, G. glycymeris and G. pilosa, with a 100% bootstrap support and 99% posterior probability. Such a conclusion is accompanied with the high divergence rate (11%) observed between two mtDNA lineages. Also, it has been seen that the COI marker is more informative for the phylogeny of both higher-level and closely related Glycymeris species, whereas the ITS2 showed less resolving reconstruction for closely related species such as G. glycymeris and G. bimaculata. Due to the slower evolution rate of nuclear genes, a considerable structure can appear in mitochondrial genes before concurrent changes occur in nDNA . Interestingly, the COI phylogenetic reconstruction revealed that G. bimaculata from Mediterranean Sea clustered together with G. glycymeris from Atlantic Sea, with a later divergence in comparison to G. pilosa. This interesting evolutionary scenario, not supported by morphospecies characteristics in our study, should be investigated in detail to confirm G. bimaculata species-specific distinctness.
Both G. glycymeris and G. pilosa showed absence of phylogenetic structure, i.e. the most frequently observed haplotypes occupied all sampling locations. With regards to G. glycymeris, the most common haplotypes (H8 and H10) that were found both in UK and France populations may represent the ancient haplotypes that probably evolved when the English Channel was just a river (Channel River). At that time (ca. 21 000 BP), Britain and Ireland were part of continental Europe, partly covered by the Fennoscandian ice sheet . According to the divergence time estimation applied on mtDNA, the speciation process of G. glycymeris and G. pilosa started to occur in the Eocene, during a time of warm climate, while the accelerated intraspecies divergence occurred during the late Pliocene and Pleistocene. During the late Miocene and early Pliocene, the Mediterranean experienced dramatic palaeoceanographic events, a more restricted system with warmer temperatures was delimited with higher salinity and nutrient impoverishment of the marine environment [64–65]. The desiccation during the Messinian Salinity Crisis (MSC) ~5.6–5.3 million years ago caused a major extinction of the Mediterranean marine fauna. A new environmental setting with open-marine conditions (temperate waters and high productivity), with the opening of the Strait of Gibraltar, favored the introduction of species of Atlantic origin, known as Boreal Guests [64,66–67]. Fossil Glycymeris sp. shells coming from the Early Pleistocene deposits cropping out in the Arda River section (Castell’Arquato Formation, Italy), have been found to resemble recent specimens of G. glycymeris from Brittany (France) in shell ultrastructure comparisons. This finding confirms their introduction during this period and suggest that it didn’t change much during the last 2 million years , supporting the high conservatism of glycymerids . Other fossil malacofauna confirmed the existence of G. glycymeris in Pliocene sediments [45,68–69] and during the Pleistocene .
The diversity of Glycymeris species in the Mediterranean includes G. glycymeris, G. pilosa, G. bimaculata and G. nummaria (known in the past as G. violacescens (Lamarck, 1819) and as G. insubrica (Brocchi, 1814), the latter as a Pliocene fossil). Whereas both G. glycymeris and G. pilosa coexist in the western Mediterranean, there is still uncertainty regarding the eastern basin  indicating Sicily as a possible geographical barrier for G. glycymeris . The presence of this or both species in the eastern Mediterranean has led to misleading citations of G. pilosa as G. glycymeris throughout time (e.g.,[12,70]) making it unclear whether G. glycymeris can be found in the eastern Mediterranean Sea. Although the collection of living specimens of G. glycymeris in the western Mediterranean has not been possible for this study, there is evidence of its presence (recorded captures, collections and personal communications) on the coasts of Spain, France and Italy  (Natural History Museum Collection in Milan, R.Chemello pers. comm., S.Giacobbe pers. comm.). The only citation of G. glycymeris in the eastern Mediterranean corresponds to the Hellenic seas ; however, it could not be confirmed. Traditionally, the distribution of shallow marine organisms has been affected by abiotic factors such as salinity and temperature. The field settings of the present study represent two different environments. The Atlantic populations of G. glycymeris live in deep waters (approx. 20 m) under strong current regimes within sand and occasionally muddy areas . Mediterranean populations of Glycymeris pilosa, come from shallower, intermittently calm waters (between 3–6 m), within a sediment layer of coarse skeletal sand with occasionally shell gravel on a limestone platform, characteristic of the Adriatic coast. Their presence in these kinds of habitats may be explained as an advantage to colonize nutrient-limited habitats due to their free-burrowing mobility and it is this ability that makes Glycymerid species opportunistic [23,72]. Alike, these opportunistic animals may appear or disappear from a specific area due to undetermined factors , such as fluctuations in food supply .
The expansion of G. pilosa across the entire Mediterranean more progressively than G. glycymeris, could be explained by a higher adaptive capacity to environmental changes of the first, and a lack of adaptation to unfavorable ecological changes on the latter, which can ultimately cause the extinction or near extinction of a species . This evidence is supported by the potential absence of G. glycymeris in the Eastern Basin.
The presence of G. pilosa as the only living species of the Glycymerididae in Israel, surrounded by fossil shells of G. nummaria , supports the evidence that G. pilosa might be more robust to environmental changes, persisting along the Eastern Mediterranean. This robust nature is reflected in the higher level of intraspecific genetic divergence in G. pilosa Mediterranean immigrants (COI, 1.1%) compared to the G. glycymeris from Atlantic (COI, 0.4%). Such a feature has already been recognized in mammals and birds where environmental harshness (lower primary productivity, decreased rainfall and more variable and unpredictable temperatures) is positively correlated with intraspecific divergence .
This assumption cannot be confirmed despite our efforts in collecting living specimens of G. glycymeris in the Western basin, mainly because the scarce presence of individuals (based on previously cited pers. comm.) and its non-commercial nature that hampers its access at fish markets.
To gain a better understanding in the introduction and expansion of Glycymeris in the Mediterranean or even to compile all European glycymerids, further studies on fossil shells to build hypothetical divergent pathways would be very interesting. Additionally, revising existing records in Museum collections is encouraged to identify potential misleading identifications.
The Mediterranean Sea has been assessed for potential impacts on marine biodiversity, indicating the central Adriatic as one of the areas with major cumulative threats to invertebrate species . Since Marine Protected Areas (MPAs) are still scarce in the Mediterranean, delimiting species with functional or evolutionary traits is critical to identify priority areas for marine biodiversity protection . The present study provides the basis for the correct identification of an invertebrate species with high potential for future ecological and sclerochronological studies in an area under high anthropogenic threat.
The present study resolves the misleading identification of G. pilosa as G. glycymeris through the combined use of morphological (classic and landmark-based) and genetic tools. It also sets a guideline for the correct identification of these species. Glycymeris pilosa presents a more globose shape and tends to be more asymmetric than G. glycymeris. Microsculpture provides robust information for the identification of the studied species. The mitochondrial and nuclear genes proved the genetic distance between species; the COI marker appeared to be more informative for the phylogeny of both higher-level and closely related Glycymeris species than the ITS2. The molecular clock showed that the ancient clades leading to G. glycymeris and G. pilosa diverged during the Eocene and based on our results, their coexistence in the Mediterranean could have been driven by geological events such as the Messinian Salinity Crisis. Climatic and biotic changes influenced the expansion of both species throughout the Mediterranean favouring G. pilosa–a more tolerant species and better adapted to unfavorable changes. The outcome of this study sets the baseline for future studies on palaeoenvironmental archives in the Mediterranean.
S1 Fig. LDA biplot of the previous PCA.
Symbols are assigned to each population: Glycymeris glycymeris (black inverted triangle, UK; grey inverted triangle, France) and Glycymeris pilosa (black circle, Pag; grey circle, Pašman).
S2 Fig. Bayesian posterior probabilities and bootstrap support for MrBayes and Maximum Likelihood analyses.
Illustration of tree topology based on ITS haplotypes of G. glycymeris (Gg), G. pilosa (Gp), G. nummaria (Gn) and G. bimaculata (Gb). Posterior probabilities followed by bootstrap values are included at the nodes. The origin of the haplotypes (H) is indicated as follow: UK, United Kindom; FR, France; AD, Adriatic Sea; AT, Atlantic Sea; PA, Pag; PS, Pašman.
S3 Fig. Evolutionary time tree of Glycymeridae relationships inferred from Bayesian inference analyses with BEAST of COI gene.
Text adjacent to selected nodes indicates median ages. Blue bars indicate 95% highest posterior density intervals for nodes of interest. Text below selected nodes indicates posterior probabilities.
S1 Table. Other material of Glycymeris pilosa and Glycymeris glycymeris from National Museum of Wales collection used for rib count measurements.
S2 Table. Number of COI and ITS2 haplotypes obtained in each population of G. glycymeris and G. pilosa.
Pop 1 in G. glycymeris stands for population sampled in United Kingdom, while Pop 2 stands for population sampled in France. For G. pilosa Pop 1 was sampled near the Island of Pag and Pop 2 in vicinity of the Island of Pašman, both in the Adriatic Sea.
S3 Table. Descriptive statistics of genetic diversity and demographic history of Glycymeris glycymeris and Glycymeris pilosa, based on COI and ITS2 sequence data.
N is number of analysed sequences, h is haplotype diversity (±SD), π is nucleotide diversity (±SD) and S is number of segregating sites.
Professor Brian Morton is acknowledged for suggesting this study. We are grateful to Paul Butler and Isobel Bloor for the collection of UK samples, to Montserrat Ramón for the samples of G. bimaculata and to Filip Bukša and Ivan Župan for the collection of Croatian specimens. Authors want to thank the two referees (Graham Oliver and Rafael LaPerna) for their comments which helped improving the quality of our manuscript.
- Conceptualization: AP TS MP.
- Formal analysis: AP TS.
- Funding acquisition: MP JT.
- Investigation: AP TS AH IB AF.
- Methodology: AP TS MP.
- Project administration: AP.
- Resources: AP TS AH JT MP.
- Supervision: AP MP JT.
- Visualization: AP AH TS.
- Writing – original draft: AP TS MP.
- Writing – review & editing: AP TS AH JT AF MP IB.
- 1. Schöne BR, Fiebig J, Pfeiffer M, Gleb R, Hickson J, Johnson ALA, et al. Climate records from a bivalved Methuselah (Arctica islandica, Mollusca; Iceland). Palaeogeogr Palaeoclimatol Palaeoecol. 2005; 228: 130–148.
- 2. Butler PGP, Richardson CCA, Scourse JD, Wanamaker AD, Shammon TM, Bennell JD. Marine climate in the Irish Sea: analysis of a 489-year marine master chronology derived from growth increments in the shell of the clam Arctica islandica. Quat Sci. 2010; 29: 1614–1632.
- 3. Reynolds DJ, Butler PG, Williams SM, Scourse JD, Richardson CA, Wanamaker AD, et al. A multiproxy reconstruction of Hebridean (NW Scotland) spring sea surface temperatures between AD 1805 and 2010. Palaeogeogr Palaeoclimatol Palaeoecol. 2013; 386: 275–285.
- 4. Goodwin DH, Flessa KW, Schöne BR, Dettman DL. Cross-calibration of daily growth increments, stable isotope variation, and temperature in the Gulf of California bivalve mollusk Chione cortezi: implications for Paleoenvironmental analysis. Palaios. 2001; 16: 387–398.
- 5. Schöne BR, Gillikin DP. Unraveling environmental histories from skeletal diaries–advances in sclerochronology. Palaeogeogr Palaeoclimatol Palaeoecol. 2013; 373(1): 1–5.
- 6. Wanamaker AD, Kreutz KJ, Schöne BR, Maasch KA, Pershing AJ, Borns HW, et al. A late Holocene paleo-productivity record in the western Gulf of Maine, USA, inferred from growth histories of the long-lived ocean quahog (Arctica islandica). Special Issue, Ocean’s role in climate change- a paleo perspective. Int J Earth Sci. 2009; 98: 19–29.
- 7. Butler PG, Wanamaker AD, Scourse JD, Richardson CA, Reynolds DJ. Variability of marine climate on the North Icelandic Shelf in a 1357-year proxy archive based on growth increments in the bivalve Arctica islandica. Palaeogeogr Palaeoclimatol Palaeoecol. 2013; 302: 21–30.
- 8. Brocas WM, Reynolds DJ, Butler PG, Richardson CA, Scourse JD, Ridgway ID, et al. The dog cockle, Glycymeris glycymeris (L.), a new annually-resolved sclerochronological archive for the Irish Sea. Palaeogeogr Palaeoclimatol Palaeoecol. 2013; 373: 133–140.
- 9. Royer C, Thébault J, Chauvaud L, Olivier F. Structural analysis and paleoenvironmental potential of dog cockle shells (Glycymeris glycymeris) in Brittany, northwest France. Palaeogeogr Palaeoclimatol Palaeoecol. 2013; 373: 123–132.
- 10. Domènech R. Nuculoida, Acoida i Mytiloida (Mollusca: Bivalvia) del Pliocè de l’Empordà. Butll Inst Cat Hist Nat. 1986; 53(4): 117–141.
- 11. Crippa G. The shell ultrastructure of the genus Glycymeris DA COSTA, 1778: a comparison between fossil and recent specimens. Riv Ital Paleontol S. 2013; 119: 387–399.
- 12. Peharda M, Ezgeta-Balić D, Vrgoč N, Isajlović I, Bogner D. Description of bivalve community structure in the Croatian part of the Adriatic Sea—hydraulic dredge survey. Acta Adriat. 2010; 51: 141–158.
- 13. Peharda M, Crnčević M, Bušelić I, Richardson CA, Ezgeta-Balić D. Growth And Longevity of Glycymeris nummaria (Linnaeus, 1758) from the Eastern Adriatic, Croatia. J Shellfish Res. 2012; 31: 947–950.
- 14. Bušelić I, Peharda M, Reynolds DJ, Butler PG, Román González A, Ezgeta-Balić D, et al. Glycymeris bimaculata (Poli, 1795)–A new sclerochronological archive for the Mediterranean? J Sea Res. 2015; 95: 139–148.
- 15. Poutiers JM. Fiches FAO d’identification des espèces pour les besoins de la pêche. FAO/CEE, 1. Méditerranée et Mer Noire, Zone de pêche 37, Révision 1: Bivalves. 1996; 417–422.
- 16. Nolf F, Swinnen F. The Glycymerididae (Mollusca: Bivalvia) of the NE Atlantic and the Mediterranean Sea. Neptunea. 2013; 12(2): 1–35.
- 17. Lucas A. Recherches sur la sexualité des mollusques bivalves. Bull Biol Fr Belg. 1965; 99: 115–247.
- 18. Poppe T, Goto Y. European seashells Vol. II. (Scaphopoda, Bivalvia, Cephalopoda). Wiesbaden: Verlag Christa Hemmen; 1993.
- 19. Check List of European Marine Mollusca (CLEMAM). Available: http://www.somali.asso.fr/clemam/index.clemam.html. Accessed 1 Sept 2015.
- 20. Goud J, Gulden G. Description of a new species of Glycymeris (Bivalvia: Arcoidea) from Madeira, Selvagens and Canary Islands. Zool Med Leiden. 2009; 83: 1059–1066.
- 21. World Register of Marine Species (WoRMS). Available: http://www.marinespecies.org. Accessed 1 Sept 2015.
- 22. Huber M. Compendium of Bivalves. Hackenheim: ConchBooks; 2010.
- 23. Thomas RDK. Functional morphology, ecology, and evolutionary conservatism in the Glycymerididae (Bivalvia). Palaeontology. 1975; 18: 217–254.
- 24. Bieler R, Mikkelsen PM, Collins TM, Glover EA, González VL, Graf DL, et al. Investigating the Bivalve Tree of Life–an exemplar-based approach combining molecular and novel morphological characters. Invertebr Syst. 2014; 28: 32–115.
- 25. Packer L, Gibbs J, Sheffield C, Hanner R. DNA barcoding and the mediocrity of morphology. Mol Ecol. 2009; 9: 42–50.
- 26. Tebble N. British Bivalve Seashells. A Handbook for Identification. 2nd ed. Edinburgh: Royal Scottish Museum with permission of British Museum; 1976.
- 27. Herrera ND, ter Poorten JJ, Bieler R, Mikkelsen PM, Strong EE, Jablonski D, et al. Molecular phylogenetics and historical biogeography amid shifting continents in the cockles and giant clams (Bivalvia: Cardiidae). Mol Phylogenet Evol. 2015; 93: 94–196. pmid:26234273
- 28. Espiñeira M, González-Lavín N, Vieites JM, Santaclara FJ. Development of a method for the genetic identification of commercial bivalve species based on mitochondrial 18S rRNA sequences. J Agric Food Chem. 2009; 57: 495–502. pmid:19128038
- 29. Cartaxana A. Morphometric and molecular analyses for populations of Palaemon longirostris and Palaemon garciacidi (Crustacea, Palaemonidae): Evidence for a single species. Estuar Coast Shelf Sci. 2015; 154: 194–204.
- 30. Freire R, Arias A, Méndez J, Insua A. Sequence variation of the internal transcribed spacer (ITS) region of ribosomal data in Cerastoderma species (Bivalvia:Cardiidae). J Mollus Stud. 2009; 76: 11–86.
- 31. Martínez L, Freire R, Arias-Pérez A, Méndez J, Insua A. Patterns of genetic variation across the distribution range of the cockle Cerastoderma edule inferred from microsatellites and mitrochondrial DNA. Mar Biol. 2015; 162: 1393–1406.
- 32. Salvi D, Bellavia G, Cervelli M, Mariottini P. The analysis of rRNA sequence-structure in phylogenetics: an application to the family pectinidae (Mollusca: Bivalvia). Mol Phylogenet Evol. 2010; 56: 1059–1067. pmid:20416386
- 33. Plazzi F, Ceregato A, Taviani M, Passamonti M. A Molecular Phylogeny of Bivalve Mollusks: Ancient Radiations and Divergences as Revealed by Mitochondrial Genes. PLoS ONE. 2011; 6(11): e27147. pmid:22069499
- 34. Combosch DJ, Giribet G. Clarifying phylogenetic relationships and the evolutionary history of the bivalve order Arcida (Mollusca: Bivalvia: Pteriomorphia). Mol Phylogenet Evol. 2016; 94: 298–312. pmid:26427825
- 35. Hammer Ø, Harper DAT, Ryan PD. PAST: Paleontological statistics software package for education and data analysis. Palaeontol Electron. 2001; 4(1): 9pp.
- 36. Klingenberg CP. MorphoJ: an integrated software package for geometric morphometrics. Mol Ecol Resour. 2011; 11: 353–357. pmid:21429143
- 37. Rohlf FJ. Morphometric spaces, shape components and the effect of linear transformations. In: Marcus L, Corti M, Loy A, Slice D, editors. Advances in Morphometrics. New York: Plenum Press; 1996. pp. 131–152.
- 38. Oliverio M, Mariottini P. Contrasting morphological and molecular variation in Coralliophila meyendorffii (Muricidae, Coralliophilinae. J Moll Stud. 2001; 67: 243–246.
- 39. Folmer O, Black M, Hoeh W, 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. pmid:7881515
- 40. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, et al. Clustal W and Clustal X version 2.0. Bioinformatics. 2007; 23(21): 2947–2948. pmid:17846036
- 41. Librado P, Rozas J. DnaSP v5: A software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009; 25: 1451–1452. pmid:19346325
- 42. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0. Mol Biol Evol. 2013; 30: 2725–2729. pmid:24132122
- 43. Tajima F. Statistical-method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics. 1989; 123: 585–595. pmid:2513255
- 44. Fu YX. Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Genetics. 1997; 147: 915–925. pmid:9335623
- 45. Ciampalini A, Forli M, Guerrini A, Sammartino F. The marine fossils malacofauna in a Plio-Pleistocene section from Vallin Buio (Livorno, Italy). Biodiversity Journal. 2014; 5(1): 9–18.
- 46. Excoffier L, Lischer HEL. Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour. 2010; 10(3): 564–567. pmid:21565059
- 47. Darriba D, Taboada GL, Doallo R, Posada D. jModelTest 2: more models, new heuristics and parallel computing. Nat Methods. 2012; 9(8): 772.
- 48. Jukes TH, Cantor CR. Evolution of protein molecules. In: Munro HN, editor. Mammalian protein metabolism. New York: Academic Press; 1969. pp. 21–132.
- 49. Ronquist F, Huelsenbeck JP. MRBAYES 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003; 19: 1572–1574. pmid:12912839
- 50. Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol. 2010; 59: 307–321. pmid:20525638
- 51. Drummond AJ, Suchard MA, Xie D, Rambaut A. Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol Biol Evol. 2012; 29: 1969–1973. pmid:22367748
- 52. Miller MA, Pfeiffer W, Schwartz T. Creating the CIPRES science gateway for inference of large phylogenetic trees. In Proceedings of the Gateway Computing Environments Workshop (GCE), New Orleans; 2010. pp. 1–8.
- 53. Cope JCW. The early phylogeny of the class Bivalvia. Palaeontology. 1997; 40: 713–746.
- 54. Imlay RW. Jurassic (Bathonian or Early Callovian) ammonites from Alaska and Montana. Shorter Contrib General Geol. 1962; 374: 1–32.
- 55. Rambaut A, Suchard MA, Xie D, Drummond AJ. Tracer v1.6. Available: http://beast.bio.ed.ac.uk/Tracer. 2014. Accessed 1 Sept 2015.
- 56. Fujisawa T, Barraclough TG. Delimiting species using single-locus data and the Generalized Mixed Yule Coalescent (GMYC) approach: a revised method and evaluation on simulated datasets. Syst Biol. 2013; 62: 707–724. pmid:23681854.
- 57. Zhang J, Kapli P, Pavlidis P, Stamatakis A. A General Species Delimitation Method with Applications to Pylogenetic Placements. Bioinformatics. 2013; 22: 2869–2876.
- 58. R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2013. ISBN 3-900051-07-0. Available: http://www.R-project.org/
- 59. Nieulande FAD, Moerdijk PW. Europese Glycymerididae, overzicht van de vanaf het Oligoceen in Europa voorkomende soorten. De Kreukel, extra editie; 1999. pp. 1–27, 28 plates.
- 60. Crnčević M. Biološke i ekološke značajke školjkaša Glycymeris nummaria (Linnaeus, 1758) u istočnom Jadranu. PhD thesis, Universities of Split and Dubrovnik, 112 pp (in Croatian). 2014.
- 61. Eterović M. Biological diversity of endoliths in the shells of bivalves from the genus Glycymeris. M. Sc. Thesis, University of Split, 36 pp (in Croatian). 2015.
- 62. Layton KKS, Martel AL, Hebert PDN. Geographic patterns of genetic diversity in two species complexes of Canadian marine bivalves. J Mollus Stud. 2015; 81: 1–10.
- 63. Ménot G, Bard E, Rostek F, Weijers JWH, Hopmans EC, Schouten S, et al. Early reactivation of European rivers during the Last Deglaciation. Science. 2006; 313: 1623–1625. pmid:16973877
- 64. Raffi S, Stanley SM, Marasti R. Biogeographic Patterns and Plio-Pleistocene Extinction of Bivalvia in the Mediterranean and Southern North Sea. Paleobiology. 1985; 11(4): 368–388.
- 65. DiStefano A, Baldassini N, Alberico I. Surface-water conditions in the Mediterranean Basin during earliest Pliocene as revealed by calcareous nannofossil assemblages: Comparison between western and eastern sectors. Palaeogeogr Palaeoclimatol Palaeoecol. 2015; 440: 283–296.
- 66. Raffi S. The significance of marine boreal molluscs in the early Pleistocene faunas of the Mediterranean area. Palaeogeogr Palaeoclimatol Palaeoecol. 1986; 52: 267–289.
- 67. Garilli V. Mediterranean Quaternary interglacial molluscan assemblages: Palaeobiogeographical and palaeoceanographical responses to climate change. Palaeogeogr Palaeoclimatol Palaeoecol. 2011; 132: 98–114.
- 68. Lozano Francisco MC, Vera Peláez JL, Guerra-Merchán A. Arcoida (Mollusca, Bivalvia) del Plioceno de la provincia de Málaga, España. Treb Mus Geol Barcelona. 1993; 3: 157–188.
- 69. Crippa G, Raineri G. The genera Glycymeris, Aequipecten and Arctica, and associated mollusk fauna of the Lower Pleistocene Arda River section (Northern Italy). Riv Ital Paleontol S. 2015; 121(1): 61–101.
- 70. Legac M, HRS-Brenko M. A review of Bivalve species in the eastern Adriatic Sea. Nat Croat. 1999; 8: 9–25.
- 71. Katsanevakis S, Lefkaditou E, Galinou-Mitsoudi S, Koutsoubas D, Zenetos A. Molluscan species of minor commercial interest in Hellenic seas: Distribution, exploitation and conservation status. Mediterr Mar Sci. 2008; 9(1): 77–118.
- 72. Levinton JS. The paleoecological significance of opportunistic species. Lethaia. 1970; 3: 69–78.
- 73. Sivan D, Potasman M, Almogi-Labin A, Bar-Yosef Mayer DE, Spanier E, Boaretto E. The Glycymeris query along the coast and shallow shelf of Israel, southeast Mediterranean. Palaeogeogr Palaeoclimatol Palaeoecol. 2006; 233: 134–148.
- 74. Botero CA, Dor R, McCain CM, Safran RJ. Environmental harshness is positively correlated with intraspecific divergence in mammals and birds. Mol Ecol. 2014; 23: 259–268. pmid:24283535
- 75. Coll M, Piroddi C, Albouy C, Ben Rais Lasram F, Cheung WWL, Christensen V, et al. The Mediterranean Sea under siege: spatial overlap between marine biodiversity, cumulative threats and marine reserves. Global Ecol Biogeogr. 2014; 21: 465–480.
- 76. Bianchi CN, Morri C. Marine biodiversity of the Mediterranean Sea: situation, problems and prospects for future research. Mar Pol Bul. 2000; 40: 67–376.