Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2016 Jan 5;11(1):e0146327. doi: 10.1371/journal.pone.0146327

Identification, Discrimination, and Discovery of Species of Marine Planktonic Ostracods Using DNA Barcodes

Lisa M Nigro 1,¤,#, Martin V Angel 2,#, Katarzyna Blachowiak-Samolyk 3,#, Russell R Hopcroft 4,#, Ann Bucklin 1,*,#
Editor: Mehrdad Hajibabaei5
PMCID: PMC4701487  PMID: 26730595

Abstract

The Ostracoda (Crustacea; Class Ostracoda) is a diverse, frequently abundant, and ecologically important component of the marine zooplankton assemblage. There are more than 200 described species of marine planktonic ostracods, many of which (especially conspecific species) can be identified only by microscopic examination and dissection of fragile morphological characters. Given the complexity of species identification and increasing lack of expert taxonomists, DNA barcodes (short DNA sequences for species discrimination and identification) are particularly useful and necessary. Results are reported from analysis of 210 specimens of 78 species of marine planktonic ostracods, including two novel species, and 51 species for which barcodes have not been previously published. Specimens were collected during 2006 to 2008 from the Atlantic, Indian, and Southern Oceans, Greenland Sea and Gulf of Alaska. Samples were collected from surface to 5,000 m using various collection devices. DNA sequence variation was analyzed for a 598 base-pair region of the mitochondrial cytochrome oxidase subunit I (COI) gene. Kimura-2-Parameter (K2P) genetic distances within described species (mean = 0.010 ± 0.017 SD) were significantly smaller than between species (0.260 + 0.080), excluding eight taxa hypothesized to comprise cryptic species due to morphological variation (especially different size forms) and/or collection from different geographic regions. These taxa showed similar K2P distance values within (0.014 + 0.026) and between (0.221 ± 0.068) species. All K2P distances > 0.1 resulted from comparisons between identified or cryptic species, with no overlap between intra- and interspecific genetic distances. A Neighbor Joining tree resolved nearly all described species analyzed, with multiple sequences forming monophyletic clusters with high bootstrap values (typically 99%). Based on taxonomically and geographically extensive sampling and analysis (albeit with small sample sizes), the COI barcode region was shown to be a valuable character for discrimination, recognition, identification, and discovery of species of marine planktonic ostracods.

Introduction

Ostracods (Crustacea, Ostracoda) are a diverse group, which includes over 200 described species occurring in the marine zooplankton assemblage [1]. Planktonic ostracods are opportunistic feeders and primarily eat detritus; they are thought to play an important role in the cycling of organic carbon below the thermocline [2]. They have been documented to be sensitive to water temperature and salinity changes, making them potential indicators of climate change [3,4]. Despite their high abundance in mesozooplankton samples (they are often second only to copepods), the role of ostracods in pelagic communities is largely unknown and almost certainly underestimated. This oversight likely results from subtle morphological characters discriminating species, small size (adult length range from 0.5 to 5 mm), and continuing uncertainties about systematic relationships at the genus level [5]. Notably among the numerous–and frequently systematically complex–taxonomic groups represented in the marine zooplankton assemblage, species of ostracod are extremely difficult to identify based on microscopic morphological characters. Also, even more than for other zooplankton groups, there is a lack of taxonomic expertise for the group: only two or three active researchers currently have sufficient expertise for species identification and description of preserved material, let alone fresh material.

There are numerous morphologically-similar congeneric or sibling species among the halocyprid ostracods that are distinguished mainly by size (i.e., adult carapace length) [6]. Carapace length is a very consistent character within halocyprid species: typical intraspecific size ranges are ±7% of the mean length. A number of sibling species pairs have been discriminated based on this character, including Orthoconchoecia bispinosa / O. secernenda [7]; Paramollicia plactolycos / P. major [8]; and Mamilloecia (= Paraconchoecia) mamillata /M. nanomamillata [9, 10]. Similarly, the most consistent morphological disparity between different populations of halocyprid species is carapace length; populations of differently sized forms are known for a number of species [4, 11]. These different size forms have been generally collected from different geographic locations or depths, but have not previously been analyzed for evidence of genetic differentiation.

Integrative morphological and molecular taxonomic analysis is particularly useful and necessary to develop accurate tools for species identification of ostracods, and thereby to ensure valid estimates of their diversity, distribution, and abundance in routine taxonomic analysis of zooplankton samples. Up-to-date taxonomic information for planktonic ostracods is now widely available through online atlases that provide both taxonomic illustrations and bathymetric profiles of ostracod species for the Atlantic and Southern Oceans [5, 11]. Enhanced attention to the importance of taxonomic training and easier access to taxonomic references materials and keys [12] will also encourage and facilitate improved accuracy and reliability of routine species identification. The use of DNA barcodes (i.e., short DNA sequences useful for species discrimination and identification) [13] for species identification, discrimination, and discovery has also opened new opportunities for integrative morphological–molecular taxonomic analysis of many and diverse groups of marine Metazoa [14]. The DNA sequence most utilized for DNA barcoding of Metazoa is a ~650 base-pair portion of the mitochondrial cytochrome oxidase I gene (COI) defined by consensus–if not quite "universal"–PCR primers [15]. The usefulness of the COI barcode region for species identification results from the fortuitous pattern of variation: intraspecific variation is typically small (< 3% sequence difference), interspecific variation is much larger (15–20%), so there is a marked "barcode gap" between these [16]. Additional attributes are typical of mitochondrial genes: maternal clonal inheritance, high copy number, and a mutation rate that typically results in high sequence variation between even closely-related species [17].

The COI barcode region has proven useful for species identification and discrimination of important groups of marine zooplankton, including comparative analyses of crustacean groups [13, 18, 19, 20, 21, 22]. Additional studies have focused on particular functional groups of marine zooplankton, including copepods [23]; chaetognaths [24]; euphausiids [25]; gastropods [26]; and Medusozoa [27]. Very few studies have included COI barcode data for identified marine planktonic ostracods. Bucklin et al. [28] reported barcodes for 27 species (these data are included in these new analyses); barcode sequences for three additional species have been determined [29, 30].

The widespread use of the COI barcode region sequence has resulted in its use as a new standard for marine biodiversity research and assessment [31]. The COI barcode region has, however, proven problematical for some taxa for a variety of reasons, including lack of resolution between intraspecific and interspecific variation [32] and lack of sequence divergence between species (e.g., for some cnidarians [33].

A common approach to species identification for taxonomically complex groups is toassume that closely-related species occupy distinct biogeographical ranges, but in fact planktonic species may be found in the same sample, due to sample collection across either distributional boundaries and/or through broad bathymetric ranges. Not only is our understanding of biogeographical distributions of zooplankton imperfect, but species ranges may also be changing due to climate, ocean circulation patterns, and other environmental factors [34].

This study presents a comprehensive database of 210 DNA barcodes for 78 identified ostracod species collected from diverse ocean regions, including 51 species for which barcodes have not previously been reported. The described species analyzed show patterns of diversity, differentiation, and divergence within and between species for the COI barcode region that can help ensure routine and accurate identification and discrimination of ostracod species. These data provide a useful resource for integrative molecular and morphological taxonomic analysis of marine planktonic ostracods. Use of DNA barcodes in species identification will allow the inclusion of this abundant, diverse, ecologically important, and geographically widespread group in marine biogeographic and biodiversity research and assessments.

Materials and Methods

Sample collection

Ostracods were collected across a broad range of ocean regions and depths, from the surface to 5,000 m. The majority of samples were collected from the Atlantic Ocean. Collection methods for two cruises in the Atlantic Ocean, the R/V R.H. Brown (April, 2006), and the R/V Polarstern (November, 2007) were described by Wiebe et al. [35]. Additional samples were collected from diverse ocean regions during several different research cruises to: South Indian and Southern Ocean on the R/V Umitaka Maru in January, 2008; Gulf of Alaska on the R/V Tiglax in September, 2008; and Greenland Sea on two cruises, the R/V Lance in April, 2008, and the R/V Oceania in July, 2008 (Fig 1). Sampling gear varied among the cruises: a Multiple Opening-Closing Net and Environmental Sensing System (MOCNESS) [36] was used for the R/V R.H. Brown and R/V Polarstern cruises; the Multi-net (MN-1, MNS-4), and Rectangular Midwater Trawl (RMT 8+1) systems were used for sampling from the R/V Umitaka Maru. Ring nets were used from the R/V Tiglax, R/V Lance, and S/V Oceania. In the latter two expeditions, WP2 nets with 500 μm mesh size were used.

Fig 1. Collection information for samples analyzed in this study.

Fig 1

Collection locations of samples from which ostracods were identified for this study. Symbols indicate cruises: R/V R.H. Brown (April, 2006); R/V Polarstern (November, 2007); R/V Umitaka Maru (January, 2008); R/V Tiglax (September, 2008); R/V Lance (April, 2008); and S/V Oceania (July, 2008). See S1 Table for detailed information of sample collection.

No permits and approvals were required for the oceanographic field sampling for this work, which was carried out in international waters under the auspices of the respective funding agencies. The field studies did not involve any endangered or protected species. Specimens and specimen DNA have been archived at the University Connecticut and all available for examination by researchers with relevant interests and expertise.

Identification of specimens

Ostracods were identified by microscopic examination of specimens for previously-documented diagnostic morphological characters [5, 11]. During the R/V Brown and R/V Polarstern cruises, identification was done of living specimens prior to preservation in 95% ethanol [6]; specimens collected during other cruises were identified from ethanol-preserved samples. Identification of specimens collected from the NW Atlantic / Sargasso Sea (R/V Brown), Gulf of Alaska (R/V Tiglax), and Southern Ocean (R/V Umitaka-Maru) was done by M.V. Angel; specimens collected from the eastern Atlantic (R/V Polarstern) were identified by M.V. Angel and K. Blachowiak-Samolyk; specimens collected from the Arctic (R/V Lance and S/Y Oceania) were identified by K. Blachowiak-Samolyk.

Among the specimens, at least two novel species were recognized: Chavturia abyssopelagica [37] and an undescribed Bathyconchoecia species. Specimens that could not be confidently identified to species using traditional morphological characters, usually because of remaining systematic or taxonomic uncertainties at the genus or species level, included some species of Mikroconchoecia, Halocypris, Conchoecia, and Metaconchoecia. To aid subsequent analyses, COI barcode sequences were determined and reported for specimens of these genera for which species names could not be confidently assigned (see S1 Table).

DNA extraction, PCR, and sequencing

Samples for molecular analysis were preserved in 95% undenatured ethanol and identified under a stereomicroscope. Morphological characteristics that varied slightly from the described morphology of the species were carefully noted. For a portion of the samples collected on the R/V Brown and R/V Polarstern, all molecular methods (including DNA sequencing) were performed at sea. The remaining samples were transported to the University of Connecticut for processing. Voucher specimens have been archived at the University of Connecticut in accordance with the protocols and standards of the Census of Marine Zooplankton (CMarZ; see http://www.cmarz.org/protocols.html). In addition, living images are available for a number of the analyzed species at the CMarZ photo gallery website (see http://www.cmarz.org/.

DNA was extracted from specimens with the DNeasy Blood and Tissue kit (Qiagen, Valencia, California). A ~680 base-pair fragment of the mitochondrial cytochrome oxidase subunit I (COI) gene was amplified either in an Applied Biosystems 9600 Thermal cycler or in a Perkin Elmer 480 thermal cycler using the Gotaq Flexi DNA polymerase (Promega) and the manufacturer’s standard application recommendations for concentrations of buffer, dNTPS, and magnesium chloride. PCR was initially performed with conserved consensus primers [15]: LCO 1490F (5’-GGTCAACAAATCATAAAGATATTGG-3’) and HCO 2198R (5’-TAAACTTCAGGGTGACCAAAAAATCA-3’). A reverse PCR primer specially designed for ostracods, Ost-COI-1535 (5’-GGDGCHTGAAGWGCWATGYTAGG-3’), was used for samples that failed to amplify with HCO 2189R. The PCR conditions were 94°C for 1 min, 45°C for 2 min, and 72°C for 3 min, for 40 cycles in the Perkin Elmer 480 thermal cycler. For the ABI 9600 thermal cycler the conditions were an initial denaturation at 95o C for 3 min; 35 cycles of 95°C for 45 sec; 45°C for 1 min, and 72°C for 1.5 min, and a final extension of 72°C for 3 minutes. PCR products were electrophoresed in 1% agarose and visualized after staining with ethidium bromide. Positive PCR products were purified using Qiagen’s PCR purification kit and sequenced with an Applied Biosystems 3130 capillary DNA Sequencer with 1/8 of the manufacturer’s recommendation of BigDye.

Data analysis

Sequences were manually edited in Sequencher (Genecodes, Ann Arbor MI) and analyzed for correct amino acid translation. BLAST searches [38] were performed to compare sequences to published nucleotide sequences in the GenBank database. Edited sequences were aligned with MAFFT Ver. 6.7 [39]. Pairwise nucleotide distances were also calculated in MEGA with a K2P model to determine genetic variation within and between ostracod species and genera. Phylogenetic trees were constructed using the Neighbor Joining algorithm in MEGA Ver. 4.1 [40] with a Kimura-2-Parameter (K2P) model [41]. The number of molecular operational taxonomic units (MOTU) [42] was estimated and compared with the number of described species using the software jMOTU [43] for the 598 bp alignment. The minimum alignment length (i.e., overlap between sequence pairs) for analysis was set at 359 bp. The BLAST filter was set at 97%.

Results and Discussion

Analysis of the COI sequences for 212 specimens of 78 species collected from diverse ocean regions indicates that the barcode region is broadly useful as an additional character for species discrimination, recognition, identification, and discovery.

Genetic distances within and between species

Kimura-2-Parameter (K2P) genetic distances within species (mean = 0.010 ± 0.017 SD; range 0.000–0.087) were significantly smaller than between species (0.260 + 0.080 SD; range 0.112–1.389; Table 1), excluding eight taxa hypothesized to comprise cryptic species, based on large K2P distances, morphological differences among the specimens examined (especially the presence of different size forms), and/or differences between specimens collected from different geographic regions. K2P genetic distances within and among the cryptic forms of these eight taxa were very similar to those of morphologically-identifiable species, for both within (average = 0.014 + 0.026 SD; range 0.000–0.087) and between species (average = 0.221 ± 0.068; range 0.109–0.329; Table 1). With the removal of these eight taxa, planktonic marine ostracods exhibit a distinct barcode gap (i.e., no overlap between intra- and interspecific genetic distances) [16]as shown in Fig 2.

Table 1. Kimura-2-Parameter distances for within and between species comparisons of planktonic ostracods.

Intraspecific and interspecific K2P distances were calculated separately for taxa with and without cryptic variation. Eight taxa (putative species) hypothesized to comprise cryptic species-level variation based on markedly high K2P distances were excluded from the first calculation of within and between species variation, which was then calculated for each of the eight taxa individually, with summary statistics for all eight taxa (putative species) hypothesized to comprise cryptic species. Additional information and explanation for many of these taxa is provided in the Results and Conclusions.

Within Species Between Species
Avg SD Range Avg SD Range
Species with no cryptic variation 0.010 0.017 0.000–0.087 0.260 0.080 0.112–1.389
Taxa with cryptic variation
Conchoecia magna 0.041 0.044 0.000–0.087 0.146 0.049 0.133–0.152
Deeveyoecia arcuata 0.003 0.006 0.000–0.012 0.312 0.019 0.295–0.329
Discoconchoecia elegans 0.003 0.002 0.000–0.006 0.262 0.038 0.177–0.296
Halocypris inflata 0.006 0.004 0.004–0.009 0.090 0.037 0.028–0.118
Metaconchoecia skogsbergi 0.004 0.005 0.000–0.011 0.201 0.012 0.189–0.219
Paraconchoecia oblonga 0.004 0.004 0.000–0.003 0.318 0.054 0.193–0.197
Proceroecia brachyaskos 0.040 0.030 0.006–0.059 0.225 0.027 0.194–0.243
Proceroecia microprocera 0.004 0.004 0.000–0.008 0.273 0.007 0.264–0.280
All taxa with cryptic variation 0.014 0.026 0.000–0.087 0.221 0.068 0.109–0.329

Fig 2. Frequency distributions of pairwise Kimura-2-Parameter (K2P) genetic distances.

Fig 2

COI barcode sequences were analyzed to determine frequency distributions of pairwise Kimura-2-Parameter (K2P) genetic distances within and between identified species of halocyprid ostracods analyzed for this study, with separate consideration of taxa (putative species) hypothesized to comprise cryptic species due to large K2P intraspecific distances associated with morphological differences (e.g., presence of different size forms) and/or genetic differentiation between distinct geographic populations (see text for details). Species of Gigantocypris (Order Myodocopida) were not included in this analysis.

Despite many barcoding studies of crustaceans [44], few have included marine planktonic ostracods. The patterns and levels of COI barcode variation within and between species determined in this study were consistent with the rather broad range observed for other groups of marine crustaceans [13, 18, 19, 20, 21, 22, 23, 25, 28, 45]. In particular, Blanco-Bercial et al. [23] reported within-species K2P distances for 195 species of planktonic copepods ranging from 0.00–0.15; these authors considered the relatively few K2P values > 0.1 to reflect the presence of cryptic species and/or differentiation among geographic populations. Radulovici et al. [21] reported similar patterns of K2P genetic distances for several crustacean groups, including copepods, both within- (average 0.008) and between-species (average 0.271).

The difficulties of taxonomic identification of living ostracod specimens and the likelihood of complexes of cryptic species in a number of genera add complexity and some uncertainty to our findings. Identified specimens assigned to the same species showing pairwise K2P distance values > 0.1 most frequently showed morphological differences (i.e., the presence of different size forms) between the specimens examined. Genetic divergence between individuals of taxa with different size forms was found in Discoconchoecia elegans (average K2P distances between forms = 0.262) and Metaconchoecia skogsbergi (0.201), as well as two morphological forms of Paraconchoecia oblonga (0.318). Within Conchoecia magna, three distinct size classes were distinguished (see S1 Table). K2P genetic distances were notably larger than usual for within-species comparisons between the larger and typical forms (average 0.146), but not between the smaller and typical forms (average 0.030). Between two size forms of Deeveyoecia (Metaconchoecia) arcuata, large K2P distances (average 0.312) suggested that in all probability these different size groups are distinct species; the larger form corresponds to the type description, so the smaller form is likely to be a novel species.

In several instances, large within-species distances (K2P > 0.1) were most probably due to genetic differentiation between distinct geographic populations. Examples include Discoconchoecia elegans collected from the Arctic and tropical Atlantic (average K2P between collection locations = 0.262) and several species collected from both the Sargasso Sea and Eastern Atlantic, including Deeveyoecia (Metaconchoecia) arcuata (0.312); Proceroecia brachyaskos (0.225); Proceroecia microprocera (0.273); and Porroecia spinostris (0.074). However, some species showed little or no genetic divergence among specimens from difference ocean regions, including: Alacia valdiviae collected from the NE Atlantic and Southern Ocean (0.002) and Halocypria globosa from the SE Atlantic and South Indian Ocean (0.009).

Neighbor Joining gene tree

Nearly all ostracod species were resolved as groups based on analysis of COI barcode sequence variation; the Neighbor Joining (NJ) gene tree shows high bootstrap support (usually 99%) for described species (Fig 3). In contrast, only a few genera were resolved, usually with low bootstrap support on the NJ gene tree. The most notable exception is Gigantocypris (mean K2P between all other species = 0.55 ± 0.06 SD), which belongs to a different order of pelagic ostracods (Order Myodocopida) than that to which all other genera analyzed belong (Order Halocyprida).

Fig 3. COI gene tree for specimens of planktonic marine ostracods analyzed in this study.

Fig 3

Neighbor Joining gene tree based on COI barcode region sequences for 210 specimens of 78 species of ostracods. Analysis used Kimura-2-Parameter distances; bootstrap values > 50% for 1,000 sub-replicates are displayed at nodes; bootstrap values = 99% are indicated by an asterisk (*).

Integrative taxonomic analysis for selected genera

Several ostracod genera exhibit systematic complexities or uncertainties that continue to provide challenges for taxonomic analysis, including interpretation of results from integrative morphological–molecular approaches. These are described here in more detail:

  • Boroecia: This genus exemplifies some of the prevailing taxonomic uncertainties in halocyprids. The first of species in the genus to be described was B. (Conchoecia) borealis (Sars, 1866), which is one of the dominant species in the mesopelagic assemblage in the Norwegian Sea and sub-boreal North Atlantic [46]. Subsequently two further species were described as B. maxima (Brady and Norman, 1896) and B. antipoda (Müller, 1906). The former species was originally described based on specimens from two localities in the Greenland Sea (74°N) and Faeroe Channel (~60°N), but no type specimen was designated. It is now known to be the most abundant halocyprid species in the high Arctic [47]. The latter species is a Southern Ocean endemic [11], but has erroneously been identified from the tropical Pacific [48]. For several decades these two species were considered to be subspecies of B. borealis; a confusion that has only recently been fully resolved [49]. A smaller form of B. maxima has been identified (but not formally described) from the north of the Bering Strait, and two further species await formal description–one from the North Pacific (Gulf of Alaska) together with the specimens erroneously attributed to B. antipoda [48]. COI sequences are reported for the three described species here (Fig 3, S1 Table), although analysis of additional specimens to resolve remaining taxonomic uncertainties is needed for determination of a definitive barcode sequence for B. maxima.

  • Conchoecia: Angel [50] provided a full description of Conchoecia magna, the type species for the genus. Both large and small forms of the species have subsequently been noted. COI barcode sequence variation clearly resolves two groups; large specimens are grouped together and are distinct from the typical form (average K2P distance = 0.146); the typical and small forms do not differ genetically (Table 1, Fig 4A).

  • Discoconchoecia: Species in this genus were originally included in Paraconchoecia [48] and were split off by Martens [51]. It includes one of the first halocyprid species to be described, Discoconchoecia elegans (Sars, 1866). This species has been reported from all oceans, mostly from high latitudes, but also from mesopelagic zones in tropical waters. Two different size forms were collected from different geographic locations: a small form (females 1.20–1.34 mm; males 1.12–1.30 mm) from low latitudes (< 30°N) in the Atlantic, while a larger form (females 1.48–1.94 mm; males 1.68–1.96 mm) consistent with the original description of the species from the vicinity of the Lofoten Islands, Norway [52] was collected from high latitudes (> 50°N). The size forms also exhibit minor morphological differences in carapace length/height ratios, spination at the posterior dorsal corner of the carapace, and morphologies of the frontal organs. However, these are yet to be formally described. COI barcode variation discriminated the mid-latitude Atlantic form from those of the Gulf of Alaska (K2P average 0.263) and the Greenland Sea (K2P average 0.259). The large genetic distances and the NJ tree topology (Fig 3) suggest the presence of a number of geographically distinct, cryptic species within D. elegans [53].

  • Halocypris: Species of Halocypris are very difficult to distinguish morphologically. Two species have been reported to be abundant in the epipelagic and shallow mesopelagic of the subtropical Atlantic, H. pelagica and H. inflata [5]. The species lack diagnostic characters in their external morphology, but can be differentiated on the basis of carapace size. There is a degree of geographical and bathymetric separation between the species; where they do co-occur there is evidence of carapace size displacement [54]. Chavtur and Stovbun [55] described an additional species in the Pacific Ocean, H. angustifrontalis, which is also morphologically very similar, though slightly larger in size than its congeners. Two Halocypris species were analyzed in this study (see S1 Table). Larger specimens from a deep sample (4,000–5,000 m) collected in the South Atlantic were provisionally identified as H. aff. angustifrontialis. Specimens identified as H. inflata yielded COI sequences that were resolved into three distinct clades: one comprised of specimens collected from the Southern Ocean, and two of Atlantic samples, one of which one was closely aligned with H. aff. angustifrontialis. Both the NJ tree topology (Fig 4B) and large K2P distances between forms (average 0.090) suggest the presence of cryptic species within H. inflata. Based on COI barcode variation, there may be a number of species in this complex, some of which are undoubtedly novel. Clearly, a number of taxonomic challenges remain and additional morphological and molecular analysis is required.

  • Metaconchoecia and allied genera: The genus Metaconchoecia continues to present many taxonomic challenges; recent re-examination resulted in subdivision into eight new genera based on morphological criteria [56]. A number of species continue to be taxonomically questionable. Among eight species previously assigned to this genus analyzed in this study, several could be identified with confidence: Clausoecia pusilla, Kyrtoecia kyrtophora, Nasoecia nasotuberculata, Rotundoecia teretivalvata, and Metaconchoecia subinflata (S1 Table). Questions of the taxonomic significance of carapace size for these taxa prevent designation of definitive barcode sequences in a number of instances. Three distinct size forms of M. skogsbergi have been reported with slightly different bathymetric and zoogeographical ranges; these will likely prove to be different species, but have not yet been formally recognized. In addition the original species description of M. skogsbergi was based on a secondary source with no type locality or material being defined, hence which of these three forms is typical is uncertain. Two size forms of Deeveyoecia (Metaconchoecia) arcuata have been recognized and likely represent distinct species (see above).

  • Mikroconchoecia: Of three species analyzed in this study, only one species, M. stigmatica, could be identified unambiguously without dissection, and hence is the only species which could be confidently identified alive. Two more common shallow mesopelagic species, M. curta and M. echinulata, could not be distinguished. These two species are very small (< 0.9mm), extremely similar morphologically, display only slight differences in size, and have overlapping geographical and bathymetric ranges. COI barcode analysis of specimens identified as M. curta/echinulata indicated that two species may in fact be present (K2P distances up to 0.146; Fig 4C), but the failure to accurately identify the specimens prevented the assignment of definitive barcode sequences to these two species.

  • Paraconchoecia: This halocyprid genus is in need of taxonomic revision and many species are expected to require reclassification; they all show clear morphological differences from P. spinifera, the type species. This genus was established by Claus [57] and the species were subsequently combined within a single large halocyprid genus, Conchoecia (Műller 1906). Poulsen [48] re-instated the genus, including 22 species, of which many have since been split off into other genera, including Discoconchoecia, Porroecia, Proceroecia, and Mamilloecia. Among seven species analyzed in our study, three species, P. cophopyga, P. dasyophthalma, and P. dorsotuberculata, had typical within-species K2P distances (average 0.006). Two forms of Paraconchoecia (Conchoecia) oblonga were distinguished on the basis of a single, but very obvious, external morphological character [58]; detailed examination is revealing that there are additional morphological differences. The typical ‘form A’ is more abundant in the Eastern Atlantic, whereas ‘form B’ predominates in the Western Atlantic. Where they co-occur, COI sequence divergence (average 0.138) suggests that the two forms are separate species. In sum, the current concept of this genus is highly polyphyletic and is in need of significant revision.

Fig 4. COI gene trees for selected genera.

Fig 4

Detailed views of the Neighbor Joining tree are shown for the following genera: A) Conchoecia, B) Halocypris, and C) Mikroconchoecia. Trees were analyzed and shown as explained in the legend to Fig 3.

MOTUs versus described species

Results of the jMOTU [43] analysis show an attenuation of the slope indicating a within-species MOTU threshold of 1.0–1.5% (Fig 5). A flat section of the curve bounded by 10% and 14% sequence differences is consistent with a 13% sequence difference threshold level for species differentiation [13]. This range of MOTU discrimination levels corresponds to numbers of MOTUs defined, as follows: 10% sequence difference (defining 91 species); 11% (89); 12% (88); 13% (85); and 14% (82). Such analysis provides support for the existence of some–but not a large number–of genetically-distinct forms or cryptic species.

Fig 5. Comparison between numbers of MOTUs and described species.

Fig 5

Number of MOTUs inferred from the barcode alignment trimmed to 598 base-pairs using a range of cut-offs (x-axis) expressed as percentage differences. The analyzed data include 78 described species, of which eight are hypothesized to include two or three cryptic species. The box defines a flat section of the graph ranging from 10% sequence difference (defining 91 species) to 14% (82 species).

Remaining challenges for integrativetaxonomic analysis of ostracods

Morphological species identification of ostracods will continue to present challenges for 'gold standard' barcoding studies [59] that seek to match DNA sequences to specimens that have been accurately identified based on morphological characters. Importantly, morphologically-distinct planktonic marine ostracod species–even closely-related species–were resolved into distinct clades in tree-based analyses with high levels of confidence (Fig 3). This finding provides confidence that unknown specimens can be identified based on the COI barcode sequence, although if, and only if, that species is present in the barcode database [23]. However, as is usual for the COI barcoding region, relationships among genera and higher groups were not resolved (Fig 3), so specimens of species for which no barcode sequence is known can neither be identified nor classified based on COI variation. New insights into the deeper phylogenetic relationships of the ostracoda as a group, including resolution of genus-level and above, will require multi-gene or phylogenomic approaches.

Inevitably for such a poorly-understood taxonomic group as marine planktonic ostracods, there are significant challenges, impediments, and limitations on new advances in understanding based on integrative morphological-molecular taxonomic analysis. Exceptionally among ecologically-important marine zooplankton groups, ostracods have not been well studied, resulting in an inadequate foundation for definitive taxonomic and systematic analysis. Several ostracod genera are clearly polyphyletic; many species have been inadequately described; closely-related species cannot readily be discriminated based on the available diagnostic characters [1,6].

A significant impediment to progress in the use of DNA barcoding for taxonomic analysis of ostracods is that accurate identification of living specimens is required, which has to be based on external morphological characters, and the discrimination of several taxa requires dissection and careful microscopic examination. In the future, techniques to remove DNA without damaging diagnostic morphological characters, such as those developed for copepods [60], which allow subsequent morphological taxonomic identification, may prove possible for ostracods. For this study, the need for examination of living species resulted in the small numbers of individuals analyzed for some species, which is not ideal for statistical analysis and may result in errors and misinterpretation of results. However, given the paucity of available barcode data for this systematically complex and challenging group, these data provide a useful foundation for subsequent integrative morphological–molecular taxonomic studies.

The range of levels and patterns of genetic divergence among marine planktonic ostracods reflect the dynamic evolutionary processes that impact species in every environment, including the pelagic [61]. Comprehensive analysis of the COI barcode region for marine planktonic ostracods may thus be expected to resolve some–but not all–of the challenges in meeting the goal of a comprehensive understanding of species diversity and distribution, based upon accurate and reliable identification and discrimination of species of this ubiquitous, abundant, and ecologically-important group of marine zooplankton.

Conclusions

DNA sequences of the cytochrome oxidase subunit I (COI) barcode region are reported for 210 specimens of 78 species of marine planktonic ostracods, including two novel species, and 51 species for which barcodes have not been previously published. COI barcodes showed significantly different, non-overlapping differences within- versus between-species for all species for which specimens could be confidently identified. Eight putative species hypothesized to comprise cryptic species, based on morphological variation (size forms) and/or differentiation of geographic populations, were analyzed separately and showed similar patterns and levels of genetic distances. Despite lack of accurate species descriptions, absence of diagnostic morphological characters for species identification, and very incomplete knowledge of generic boundaries and systematic relationships, integrative morphological–molecular taxonomic approaches will allow routine analysis and can yield new understanding of the diversity, distribution, and ecological importance of ostracods in the marine planktonic assemblage. A Neighbor Joining COI gene tree resolved nearly all described species analyzed, with multiple sequences forming clusters with high bootstrap values. Based on taxonomically and geographically extensive sampling and analysis (albeit with small sample sizes), the COI barcode region was shown to be a valuable character for discrimination, recognition, identification, and discovery of species of marine planktonic ostracods.

Supporting Information

S1 Table. Collection information and metadata for specimens of marine planktonic ostracods analyzed for this study.

All specimens analyzed are listed by species name, with DNA voucher numbers, GenBank Accession Numbers, and collection information (date, latitude and longitude, ocean region and cruise). Additional metadata are included in each GenBank entry.

(DOC)

Acknowledgments

We are grateful to the officers, crews and scientific participants in the oceanographic research cruises during which the samples analyzed for this study were collected. A warm acknowledgment is due to Peter H. Wiebe for assistance in reviewing the text and preparing figures for publication and Nancy J. Copley (both at the Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, United States of America) assisted with collection and analysis of samples. DNA barcodes for some specimens were determined at the Canadian Centre for DNA Barcoding, Biodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada). This study is a contribution from the Census of Marine Zooplankton (CMarZ, see www.CMarZ.org) and the Arctic Ocean Biodiversity (www.arcodiv.org), ocean realm field projects of the Census of Marine Life.

Data Availability

All files are available from the NCBI GenBank database. Accession Numbers GU073321-GU073368 were previously submitted (2009) and are currently publicly available. Accession Numbers KP745137-KP745299 are also now publicly available data.

Funding Statement

This research was partially funded by the National Oceanic and Atmospheric Administration (NOAA) Office of Ocean Exploration and Research (http://explore.noaa.gov/; Award No. NA050AR4601079). Funding was also provided by the NOAA Arctic Research Office (http://www.arctic.noaa.gov/index.shtml) through a cooperative agreement with the Cooperative Institute for Arctic Research (CIFAR) at the University of Alaska (Award No. NA17RJ1224). The authors gratefully acknowledge programmatic support from the Alfred P. Sloan Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Angel MV. A review on the progress of research on halocyprid and other oceanic planktonic ostracods 1972–82 Applications of Ostracoda, Maddocks R.F., editor, Geoscience Department, University of Houston, Houston Texas: 1983:529–548. [Google Scholar]
  • 2.Angel MV. Marine planktonic ostracods: Keys and notes for identification of the species, Synopses of British Fauna, Estuarine and Coastal Sciences Association, Linnean Society of London, London, England: 1993;48:240 p. [Google Scholar]
  • 3.Fasham MJR, Angel MV. The relationship of the zoogeographic distributions of the planktonic ostracods in the Northeast Atlantic to the water masses. J Mar Biol Assoc UK. 1975;55:739–57. [Google Scholar]
  • 4.Angel MV, Blachowiak-Samolyk K, Drapun I, Castillo R. Changes in the composition of planktonic ostracod populations across a range of latitudes in the North-east Atlantic. Progr Oceanogr. 2007;71:60–78. [Google Scholar]
  • 5.Angel MV, Blachowiak-Samolyk K, Chavtur VG. An atlas of Atlantic planktonic Ostracoda. Available: http://www.nhm.ac.uk/research-curation/scientific-resources/biodiversity/global-biodiversity/atlantic-ostracods/. 2008. Accessed 22 July 2013.
  • 6.Angel MV. Towards a full inventory of planktonic Ostracoda (Crustacea) for the subtropical Northwestern Atlantic Ocean. Deep Sea Res II. 2010;57:2173–2188. [Google Scholar]
  • 7.Angel MV. The redescription of Conchoecia bispinosa Claus, C. haddoni Brady & Norman and C. secernenda Vavra from the North Atlantic. Crustaceana. 1970;18:147–66. [Google Scholar]
  • 8.Deevey GB. Pelagic ostracods collected on Hudson '70 between the equator and 55°S in the Atlantic. Proc Biol Soc Wash. 1974;87:351–80. [Google Scholar]
  • 9.Deevey GB, Brooks AL. The planktonic ostracods of the Sargasso Sea off Bermuda: Species composition and vertical and seasonal distribution between the surface and 2000m. Bull Florida State Mus Biol Sci. 1980;26:37–124. [Google Scholar]
  • 10.Graves C. Mamilloecia indica (Halocyprididae:Ostracoda) a new genus and species from the Northwest Indian Ocean. J Nat Hist. 2012;46:516–56. [Google Scholar]
  • 11.Blachowiak-Samolyk K, Angel MV. An atlas of Southern Ocean planktonic Ostracoda. Available: http://deep.iopan.gda.pl/ostracoda/. 2003; Accessed 1 January 2015.
  • 12.Bortolus A. Error cascades in the biological sciences: the unwanted consequences of using bad taxonomy in ecology. Ambio. 2008;37:114–8. [DOI] [PubMed] [Google Scholar]
  • 13.Hebert PDN, Ratnasingham S, deWaard JR. Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species. Proc R Soc Lond B (Suppl). 2003;270:S96–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Bucklin A, Steinke D, Blanco-Bercial L. DNA barcoding of marine Metazoa. Ann Rev Mar Sci. 2011;3:471–508. [DOI] [PubMed] [Google Scholar]
  • 15.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;3:294–9. [PubMed] [Google Scholar]
  • 16.Meyer CP, Paulay G. DNA barcoding: Error rates based on comprehensive sampling. PLoS Biol. 2005;3:2229–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Roe AD, Sperling FAH. Patterns of evolution of mitochondrial cytochrome c oxidase I and II DNA and implications for DNA barcoding. Molec Phylogen Evol. 2007;44:325–45. [DOI] [PubMed] [Google Scholar]
  • 18.Costa FO, deWaard JR, Boutillier J, Ratnasingham S, Dooh RT, Hajibabaei M, et al. Biological identifications through DNA barcodes: the case of the Crustacea. Can J Fish Aquat Sci. 2007;64:272–95. [Google Scholar]
  • 19.Lefébure T, Douady CJ, Gouy M, Gibert J. Relationship between morphological taxonomy and molecular divergence within Crustacea: Proposal of a molecular threshold to help species delimitation. Mol Phylogenet Evol. 2006;40:435–47. [DOI] [PubMed] [Google Scholar]
  • 20.Radulovici AE, Sainte-Marie B, Dufresne F. DNA barcoding of marine crustaceans from the Estuary and Gulf of St Lawrence: a regional-scale approach. Molec Ecol Res. 2009;9:181–7. [DOI] [PubMed] [Google Scholar]
  • 21.Radulovici AE, Archambault P, Dufresne F. DNA barcodes for marine biodiversity: moving fast forward? Diversity. 2010;2:450–72. [Google Scholar]
  • 22.Raupach MJ, Steinke D, Beermann J, Laakmann S, Mohrbeck I, Neumann H, et al. The application of DNA barcodes for the identification of marine crustaceans from the North Sea and adjacent regions. PLoS ONE. 2015;10:e0139421 10.1371/journal.pone.0139421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Blanco-Bercial L, Cornils A, Copley NJ, Bucklin A. DNA Barcoding of marine copepods: Assessment of analytical approaches to species identification. PLoS Curr Tree of Life. 2014;June 23 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Jennings RM, Bucklin A, Pierrot-Bults AC. Barcoding of arrow worms (Phylum Chaetognatha) from three oceans: genetic diversity and evolution within an enigmatic phylum. PLoS-ONE. 2010;5:e9949 10.1371/journal.pone.0009949 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bucklin A, Wiebe PH, Smolenack SB, Copley NJ, Beaudet JG, Bonnet KG, et al. DNA barcodes for species identification of euphausiids (Euphausiacea, Crustacea). J Plankton Res. 2007;29:483–93. [Google Scholar]
  • 26.Jennings RM, Bucklin A, Ossenbrügger H, Hopcroft RR. Analysis of genetic diversity of planktonic gastropods from several ocean regions using DNA barcodes. Deep-Sea Res II. 2010;57:2199–210. [Google Scholar]
  • 27.Ortman BD, Bucklin A, Pages F, Youngbluth M. DNA barcoding of the Medusozoa. Deep-Sea Res II. 2010;57:2148–56. [Google Scholar]
  • 28.Bucklin A, Ortman BD, Jennings RM, Nigro LM, Sweetman CJ, Copley NJ. A “Rosetta Stone” for zooplankton: DNA barcode analysis of holozooplankton diversity of the Sargasso Sea (NW Atlantic Ocean). Deep-Sea Res II 2010;57:2234–47. [Google Scholar]
  • 29.Cheng FP, Wang MX, Sun S, Li C, Zhang Y. DNA barcoding of Antarctic marine zooplankton for species identification and recognition Adv Polar Sci. 2013;24:119–27. [Google Scholar]
  • 30.Tanaka H, Ohtsuka S. Historical biogeography of the genus Polycopissa (Ostracoda: Myodocopa: Cladocopina), with the description and DNA barcode of the second Indo-Pacific species from the Seto Inland Sea. Mar Biodiv. 2015; available online 10.1007/s12526-015-0412-y [DOI] [Google Scholar]
  • 31.Goulletquer P, Gros P, Boeuf G, Weber J. Biodiversity in the Marine Environment Springer Science & Business Media; 2014 [Google Scholar]
  • 32.Funk DJ, Omland KE. Species-level paraphyly and polyphyly: frequency, causes, and consequences, with insights from animal mitochondrial DNA. Ann Rev Ecol Evol Syst. 2003;34:397–423. [Google Scholar]
  • 33.Shearer TL, Coffroth MA. Barcoding corals: limited by interspecific divergence not intraspecific variation. Molec Ecol Res. 2008;8:247–55. [DOI] [PubMed] [Google Scholar]
  • 34.Reygondeau G, Beaugrand G. Future climate-driven shifts in the distribution of Calanus finmarchicus. Global Change Biol. 2011;17:756–66 [Google Scholar]
  • 35.Wiebe PH, Bucklin A, Madin LP, Angel MV, Sutton T, Pagés F, et al. Deep-sea sampling on CMarZ cruises in the Atlantic Ocean–an introduction. Deep-Sea Res II. 2010;57:2157–66. [Google Scholar]
  • 36.Wiebe PH, Morton AW, Bradley AM, Backus RH, Craddock JE, Barber V, et al. New developments in the MOCNESS, an apparatus for sampling zooplankton and micronekton. Mar Biol. 1985;87:313–23. [Google Scholar]
  • 37.Angel MV. Novel planktonic ostracods (Myodocopa: Halocypridae) from abyssopelagic depths in the Atlantic: Chavturia abyssopelagica (nov. gen., nov. sp.), Halocypretta profunda (nov sp.), and the description of the female of the North Pacific species Halocypretta parvirostrata Chavtur and Stovbun 2008. Zootaxa 2013;3709:401–33. [DOI] [PubMed] [Google Scholar]
  • 38.Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25:3389–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Katoh K, Toh H. Recent developments in the MAFFT multiple sequence alignment program. Brief Bioinform. 2008;9:286–98. 10.1093/bib/bbn013 [DOI] [PubMed] [Google Scholar]
  • 40.Tamura K, Stecher G, Peterson D, Filipsk A, Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis, Version 6.0. Mol Biol Evol. 2013;30:2725–9. 10.1093/molbev/mst197 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Kimura M. A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Molec Evol. 1980;16;111–20. [DOI] [PubMed] [Google Scholar]
  • 42.Floyd R, Abebe E, Papert A, Blaxter M. Molecular barcodes for soil nematode identification. Molec Ecol. 2002;11:839–50. [DOI] [PubMed] [Google Scholar]
  • 43.Jones M, Ghoorah A, Blaxter M. jMOTU and Taxonerator: turning DNA barcode sequences into annotated Operational Taxonomic Units. PLoS ONE. 2011;6:e19259 10.1371/journal.pone.0019259 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Raupach MJ, Radulovici AE. Looking back on a decade of barcoding crustaceans. ZooKeys. 2015;539:53–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Bucklin A, Hopcroft RR, Kosobokova KN, Nigro LM, Ortman BD, Jennings RM. DNA barcoding of Arctic Ocean holozooplankton for species identification and recognition. Deep-Sea Res II. 2010;57:40–8. [Google Scholar]
  • 46.Baczewska A, Błachowiak-Samołyk K, Angel MV. Distribution of pelagic Ostracoda inhabiting Svalbard waters (76°36–81°50N). Hydrobiol. 2011;688:75–92. [Google Scholar]
  • 47.Chavtur VG, Bashmanov AG. Distribution and seasonal dynamics of Boroecia maxima (Ostracoda, Halocypridinae) in the Arctic Basin and adjacent Atlantic waters. Russian J Mar Biol. 2007;33:75–83. [Google Scholar]
  • 48.Poulsen EM. Ostracoda-Myodocopa. 3b. Halocypriformes-Halocypridae. Conchoecinae. Dana Report. 1973;84:1–223. [Google Scholar]
  • 49.Chavtur VG, Keyser DA, Bashmanov AG. Morphology and distribution of pelagic ostracods of the genus Boroecia (Ostracoda: Halocyprididae) in the Central Arctic. Zootaxa. 2015;4013:151–94. 10.11646/zootaxa.4013.2.1 [DOI] [PubMed] [Google Scholar]
  • 50.Angel MV. The redescription of three halocyprid ostracods, Conchoecia hyalophyllum Claus, C. magna Claus and C. parthenoda Müller from the North Atlantic. Crustaceana. 1969;17:45–63. [Google Scholar]
  • 51.Martens JM. Die pelagischen Ostracoden der Expedition Marchile I (Südost-Pazifik) II: Systematik und Vorkommen (Crustacea: Ostracoda: Myodocopa). Mitteil Hamburg Zool Mus Inst 1979;76:303–66. [Google Scholar]
  • 52.Sars GO. Oversigt of Norges marine Ostracodes. Forhandlinger i Videnskabs-Selkabet I Christiania. 1865; 1865:1–130. [Google Scholar]
  • 53.Stępień A, Błachowiak-Samołyk K, Angel MV. A re-description of Discoconchoecia elegans (Sars, 1865) (Ostracoda: Halocyprididae) from high latitudes in the North Atlantic. Zootaxa. 2015;3995:66–77. 10.11646/zootaxa.3995.1.9 [DOI] [PubMed] [Google Scholar]
  • 54.Angel MV. The Atlantic halocyprid ostracods Halocypris inflata (Dana 1848) and H pelagica Claus 1880, sibling species which possibly show character displacement Fossil and Recent Ostracods,Bate R, Robinson E, Sheppard L, editors. British Micropalaeo Society, Ellis Horwood; 1982; 327–43. [Google Scholar]
  • 55.Chavtur VG, Stovbun GG. Pelagic ostracods of the genera Halocypris and Fellia (subfamily Halocyprinae) from the North Pacific. Publ Seto Mar Biol Lab. 2008;40:55–84. [Google Scholar]
  • 56.Chavtur VG, Angel MV. Revision of Metaconchoecia (Ostracoda: Halocyprididae) and the designation of two new tribes Conchoeciini and Metaconchoeciini. Zootaxa. 2011;2857:1–87. [Google Scholar]
  • 57.Claus C. Die Gattungen und Arten der mediterranen und atlantischen Halocypriden nebst Bemerkungen über die Organisation derselben. Arb Zool Inst Wien. 1891;9:1–34. [Google Scholar]
  • 58.Müller GW. Ostracoda. Wissenschaftliche Ergebnisse der Deutschen Tiefsee-Expedition 'Valdivia' 1989–1899. 1906;8:29–154. [Google Scholar]
  • 59.Stoeckle MY, Hebert PDN. Barcode of Life DNA tags help classify animals. Sci Am. 2008;299:82. [PubMed] [Google Scholar]
  • 60.Cornils A. Non-destructive DNA extraction for small pelagic copepods to perform integrative taxonomy. J Plankton Res. 2015;37:6–10. [Google Scholar]
  • 61.Peijnenburg KTCA, Goetze E. High evolutionary potential of marine zooplankton. Ecol Evol. 2013;3:2765–81. 10.1002/ece3.644 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Collection information and metadata for specimens of marine planktonic ostracods analyzed for this study.

All specimens analyzed are listed by species name, with DNA voucher numbers, GenBank Accession Numbers, and collection information (date, latitude and longitude, ocean region and cruise). Additional metadata are included in each GenBank entry.

(DOC)

Data Availability Statement

All files are available from the NCBI GenBank database. Accession Numbers GU073321-GU073368 were previously submitted (2009) and are currently publicly available. Accession Numbers KP745137-KP745299 are also now publicly available data.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES