Next Article in Journal
The First Complete Chloroplast Genome Sequence and Phylogenetic Analysis of Pistachio (Pistacia vera)
Next Article in Special Issue
Deep-Sea Epibenthic Megafaunal Assemblages of the Falkland Islands, Southwest Atlantic
Previous Article in Journal
Diversity of Nearctic Dragonflies and Damselflies (Odonata)
Previous Article in Special Issue
The Eurycope producta Sars, 1868 Species Complex (Isopoda, Munnopsidae) at the Transition of the Northern North Atlantic and the Nordic Seas—Including Descriptions of Six New Species and a Key
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Biodiversity of Calcaxonian Octocorals from the Irish Continental Slope Inferred from Multilocus Mitochondrial Barcoding

1
School of Natural Sciences and Ryan Institute, National University of Ireland Galway, H91 TK33 Galway, Ireland
2
CSIRO Oceans and Atmosphere and School of Natural Sciences Hobart, University of Tasmania, Hobart, TAS 7005, Australia
*
Author to whom correspondence should be addressed.
Diversity 2022, 14(7), 576; https://doi.org/10.3390/d14070576
Submission received: 29 May 2022 / Revised: 11 July 2022 / Accepted: 14 July 2022 / Published: 18 July 2022
(This article belongs to the Special Issue Deep Atlantic Biodiversity)

Abstract

:
Deep-sea corals are important benthic inhabitants that support the biodiversity and function of the wider faunal community; however, their taxonomy is underdeveloped and their accurate identification is often difficult. In our study, we investigated the utility of a superextended (>3000 bp) barcode and explored the effectiveness of various molecular species delimitation techniques with an aim to put upper and lower bounds on the estimated number of calcaxonian species in Irish waters. We collected 112 calcaxonians (70 Keratoisididae, 22 Primnoidae, 20 Chrysogorgiidae) and one chelidonisid from the Irish continental slope and sequenced a 3390 bp DNA barcode comprising four mitochondrial regions (mtMutS, COI + igr1, 16S rRNA-ND2, and igr4), recovering 38 haplotypes. Individuals that shared a haplotype were often morphologically distinct, and we thus undertook detailed morphological work, including SEM of sclerites, on one representative of each morphotype within each haplotype. GMYC, bGMYC, and mPTP returned incongruent estimates of species numbers. In total, there are between 25 and 40 species, although no definitive number could be assigned, primarily due to poorly defined keratoisidid species boundaries. As expected, the superextended barcode provided greater discrimination power than single markers; bGMYC appeared to be the most effective delimiter. Among the identified species were Chelidonisis aurantiaca, collected deeper than previously known at 1507 m, and Calyptrophora clinata, recorded for the second time from the Northeast Atlantic. A full understanding of the diversity and distribution of calcaxonians requires substantial taxonomic work, but we highlight the Irish continental slope as harbouring significant diversity.

1. Introduction

The deep sea is the largest and least-explored ecosystem on the planet [1]. Geomorphic features found on continental slopes have been discovered to harbour increased biodiversity; for example, submarine canyons [2], seamounts [3], and cold-water coral reefs [4]. Situated in the Northeast Atlantic at the northwestern edge of Europe, Ireland has a marine territory of ~880,000 km2, ten times that of its landmass, which encompasses an extensive continental slope heavily incised with canyons and gullies across its entirety. These complex topographies at the shelf edge and slope interact with the overlying water, affecting local oceanographic and hydrodynamic conditions which promote biodiversity [5]. Such enhanced biodiversity is evident; for example, in Ireland’s carbonate mound provinces where residual bottom currents are increased [6]; in the Whittard Canyon system where a unique biotope comprising the large bivalves Acesta excavata (Fabricius, 1779) and Neopycnodonte zibrowii Gofas, Salas and Taviani, 2009 is found at 600–800 m where internal waves resuspend particulate matter [7]; and through species distribution modelling that predicts increased species richness and a greater likelihood of corals in areas of Whittard Canyon with elevated currents and complex topography [8].
Octocorals are important benthic constituents in the deep sea, capable of forming dense aggregations referred to as coral gardens. These gardens are important for the wider faunal community. They provide a significant structural role, as octocorals house unique commensal species on their branches [9], harbour eggs of charismatic species such as catsharks [10] and cephalopods [11], and act as a nursery for juvenile invertebrates, e.g., basket stars [12]. Many corals are slow-growing and long-lived, with radiocarbon (14C) ageing of some individuals of Paramuricea sp. and Chrysogorgia sp. showing 464 years and 192 years, respectively, with the upper estimates of Paramuricea exceeding 600 years [13]. These life-history traits, combined with the important ecosystem functions provided by deep-sea corals, have led to concern over the potential effect of fishing impacts on these ecosystems, which have been designated as Vulnerable Marine Ecosystems (VMEs) and now require States to implement appropriate conservation measures to protect them through standard reporting and monitoring.
Certain groups of octocorals are prevalent in the deep sea; for example, within the suborder Calcaxonia (Order Alcyonacea), there are three widely distributed families: Chrysogorgiidae, Keratoisididae, and Primnoidae [9]. A lack of knowledge on definitive species boundaries, scarcity of information regarding intraspecific variation and what morphological characters are taxonomically important, and deficiencies in species descriptions in the older literature are the root cause of the difficulty identifying octocorals’ species, which is further exacerbated by the lack of taxonomic expertise. This is evident in the Keratoisididae, where there is widespread polyphyly at the genus rank due to the historic diagnosis of genera using branching pattern [14,15]. Isidella was diagnosed by nodal branching in a single plane, Acanella by nodal branching in multiple planes, Keratoisis by internodal branching, and Lepidisis by lack of branching. Branching pattern is now known to be labile [14,15], and species formerly thought to be congeneric are now known not to be. Recent taxonomic work has been undertaken to untangle the observed polyphyly in the keratoisidids, and since 2011, three new genera have been erected: Cladarisis, Eknomisis, and Jasonisis. The diversity within Keratoisididae has been described based on phylogenetic analysis [16], which found that the family has 11 genetically and morphologically distinct subclades with taxonomic characters such as sclerite composition (from the polyp body, tentacles, pharynx, and coenenchyme), gross colony morphology, polyp morphology, and polyp distribution along the axis used to discriminate among subclades. Half of the keratoisidid subclades do not contain any currently accepted genera, indicating the presence of many undescribed taxa within Keratoisididae. The genus Chrysogorgia is another taxonomically confusing group of octocorals. While it is one of the most abundant and diverse groups of octocorals, with 71 currently accepted species [17], recent investigations into the phylogenetic relationships among species within this genus have led to the proposal of 11 candidate genera [18], each of which has been assigned a group number in advance of formal description. There are fewer taxonomic problems within Primnoidae due to the work of dedicated museum taxonomists, unburdened by academic duties that university-based taxonomists face, and perhaps due to the frequent incorporation of genetics into their systematics, which helps test and reinforce the usefulness of certain taxonomic characters (e.g., [19,20,21]).
Coral gardens are widely distributed along the Irish continental slope and Rockall-Hatton Plateau, yet none of the known examples of calcaxonian-dominated coral gardens from Irish waters have had their main species fully identified (i.e., to species rank) despite the need for appropriate monitoring and reporting on their distributions. For example, of the three calcaxonian dominated coral gardens identified from Anton Dohrn seamount, the dominant bamboo coral is identified to genus rank in two biotopes (as Keratoisis sp. with Solenosmilia variabilis Duncan 1873 (Ker.Sol) in the first, and Lepidisis sp. with Parantipathes sp. habitat (Lep.Par) in the other), and as an unidentified bamboo coral in a third (mixed coral dominated habitat comprising S. variabilis, Anthomastus grandiflorus Verrill 1878, an unidentified species of bamboo coral, and zoanthids (Gor.Zoa)) [22]. Similarly, in the Whittard Canyon, dense aggregations of “Primnoa sp.” have been reported from vertical walls ([23] Figure 3f).
Increased genomic resolution, provided by hundreds to thousands of single nucleotide polymorphisms (SNPs), is being used to successfully delimit species of octocorals [24,25,26], and SNPs can even detect the roles of hybridisation and introgression in species [27]. However, while next-generation sequencing costs are lowering, it is not cost-effective to generate whole-genome SNP data for exploratory studies that are investigating baseline information about the biodiversity present. Instead, DNA barcoding is commonly used, as it has overcome a lack of taxonomic knowledge in other groups by uncovering cryptic species diversity [28,29]. In octocorals, the usefulness of mitochondrial DNA barcoding is diminished due to the presence of an active mismatch repair gene, mtMutS, which reduces the accumulation of mutations in the mitochondrial genome [30,31]. However, while mtMutS itself is the most variable gene in the mitogenome [32,33], it is still insufficient to resolve species boundaries; therefore, a concatenated multilocus sequence (approximately 1648 bp long) consisting of mtMutS + COI + igr1 and referred to as the “extended octocoral barcode” is widely used, although it is still not able to successfully delimit among all species due to a lack of interspecific variation associated with these genetic markers [34,35]. Within families, different gene regions have been used to further delimit species: igr4 (the intergenic spacer between COB and ND6) has proved useful in Keratoisididae [36], while the addition of ND2 to the extended octocoral barcode increased the number of successfully delimited species in the primnoid genus Narella [37].
The aims of this study were to (i) investigate the utility of a superextended barcode incorporating mtMutS, COI + igr1, 16S rRNA-ND2, and igr4, (ii) explore the effectiveness of various species delimitation techniques in successfully delimiting species in calcaxonian octocorals, and (iii) establish upper and lower bounds on the estimated number of calcaxonian species in Irish waters.

2. Materials and Methods

During two research surveys to the Irish Margin between 24 May–5 June 2017 and 11–23 August 2018 aboard RV Celtic Explorer, targeted collections of octocorals and sponges for biodiscovery gathered 70 Keratoisididae, 22 Primnoidae, 20 Chrysogorgiidae, and one Chelidonisididae (Table S1) using the robotic capabilities of ROV Holland I. All stations from 2017 were within the Whittard Canyon system between 1275 and 1988 m, except two located outside the Hovland Mound and Belgica Mound SACs at ~880 m, and stations from 2018 were within small canyons and gullies along the North Porcupine Bank between 821 and 2308 m (Figure 1).
Onboard, recovered specimens were kept in buckets of chilled seawater until processed. Genetic and morphological subsamples were taken and stored in 96% ethanol; remaining parts of specimens were stored dry at −80 °C. Genetic subsamples comprised a few polyps of a coral and were stored in a 1.5-mL microcentrifuge tube. Morphological subsamples were approximately 4 cm in size and stored in glass vials.
All collected octocorals were photographed in situ using a Kongsberg OE14-208 Digital Still Camera attached to Holland I and again on board using a Nikon P900. The biodiscovery programme did not note the branching pattern (nodal vs. internodal vs. unbranched) of the bamboo corals (Families Keratoisididae and Chelidonisididae) or chrysogorgiids and the small morphological vouchers available for taxonomy usually did not contain a branching point. Branching pattern was not always evident in either in situ or ex situ photographs due to thick coenenchyme of bamboo corals or the bushy gross morphology of the chrysogorgiids.

2.1. Genetics

2.1.1. DNA Extraction and Polymerase Chain Reaction (PCR)

Genomic DNA was extracted from individuals using a PureLinkTM Genomic DNA Mini Kit (Invitrogen, Carlsbad, CA, USA) following the manufacturer’s instructions. Partial regions of mtMutS, COI + igr1, 16S rRNA-ND2, and igr4 (COBND6 intergenic spacer) were amplified for all individuals using PCR. Each 25 µL PCR reaction contained 12.5 µL of 1 × GoTaq G2 Green Mastermix (Promega), 0.5 µL of 10 µM forward and reverse primers (final concentration 0.2 µM), 9 µL of nuclease free water, and 2.5 µL of DNA template (<250 ng as per GoTaq G2 Green Mastermix protocol recommendations). Thermocycle profiles varied by primer pair (Table 1). PCR products were purified using a PureLink© PCR Purification kit (Invitrogen, Carlsbad, CA, USA) and sequenced with amplification primers in both forward and reverse directions by Eurofins Genomics.

2.1.2. DNA Sequence Quality Control, Haplotype Discovery, and Phylogenetic Inference

DNA sequences were assembled and amplification primers and poor quality bases were trimmed manually by examining chromatograms in Geneious Prime v. 2020.1.2 [40] and aligning the forward and reverse sequences using the pairwise alignment function to create a consensus sequence. Each genetic marker was aligned separately using the iterative refinement algorithm of MUSCLE [41] implemented in MEGA X [42] with default settings (Gap opening penalty of −400, and no gap extension penalty). The intergenic spacer igr4 and COI + igr1 were also aligned using the L-INS-I iterative refinement alignment in MAFFT v. 7 [43] with default settings (Gap opening penalty of 1.5 and an offset value of 0.14) to account for the different indel placement by different alignment algorithms. Both methods yielded the same result. Sequences from coding regions were adjusted by eye so that codon-length gaps were in the correct position and did not change the amino acid sequence. Sequences from all targeted mitochondrial regions were concatenated into a 3390 bp alignment (hereafter referred to as the superextended barcode).
Table 1. Primer thermocycle profiles used to amplify mitochondrial gene fragment sequences.
Table 1. Primer thermocycle profiles used to amplify mitochondrial gene fragment sequences.
Primer NamePrimer Sequences 5′–3′Gene Boundaries CrossedThermocycle ProfileSource
CO3Bam5657fGCT GCT AGT TGG TAT TGG CATCO3—mtMutSa 94 °C, 30 s: 55 °C, 30 s: 72 °C, 45 s. 35x or[44,45]
MUT3458RTSG AGC AAA AGC CAC TCCa 94 °C, 30 s: 55 °C, 60 s: 72 °C, 120 s. 35x
ND4L2475FTAG GYT TAT TTA CTC ATA CWA TND4L—mtMutSb 94 °C, 20 s: 50 °C, 30 s: 72 °C, 50 s. 35x[44,46]
MUT3458RTSG AGC AAA AGC CAC TCC
COII8086fCAT AAC AGG ACT AGC AGC ATCCOII—igr1—COIb 94 °C, 30 s: 47 °C, 30 s: 72 °C, 30 s. 40x[34,47]
COIOCTrATC ATA GCA TAG ACC ATA CC
16s647FACA CAG CTC GGT TTC TAT CTA CCA16S rRNA-ND2b 94 °C, 30 s: 47 °C, 30 s: 72 °C, 60 s. 30x[47,48]
ND2_1417RCAT CGG GGG CCC ACA TAT G
CytbBam1279fAGG AGC CAA TCC AGT AGA GGA ACCCOBND6b 94 °C, 30 s: 55 °C, 30 s: 72 °C, 45 s. 35x[36]
ND6Bam1648rTAY AGG TAA GAA ATG CGA GTG ATC
a Initial denaturing of DNA template at 94 °C for 5 min. Final extension 72 °C for 10 min. b Initial denaturing of DNA template 94 °C for 2 min. Final extension at 72 °C for 6 min.
Haplotypes from the concatenated alignment of the superextended barcode were recovered using TCS v 1.21 [49], which uses a statistical parsimony method. Statistical parsimony is defined as the connectivity between the most closely related haplotypes based on a user-defined probability [50]. Haplotypes will form a single network until the parsimony limit is reached. TCS allows gaps to be coded as a 5th character state, which allows indel variation and structure to be included in the analysis.
A Maximum Likelihood (ML) tree was constructed from haplotype sequences using IQ-Tree [51] with initial partitions between sequenced mitochondrial regions (mtMutS, COI, igr1, 16S rRNA, ND2, and igr4) and by first, second, and third codon positions in protein-coding genes (mtMutS, COI, and ND2). We used the settings -m MFP + Merge, which causes IQTree to implement PartitionFinder’s greedy heuristic algorithm [52], to test whether partitions should be merged during the model selection. This heuristic algorithm merges partitions until the model fit does not increase further. IQTree retained three partitions (Table S2) and applied the TVM + F + R2 substitution model (transversion model where the A-G substitution rate equals the C-T substitution rate, with unequal base frequencies equivalent to the empirical base frequencies, and a FreeRate model with two rate categories) to the first partition and HKY + F + I (unequal transition/transversion rates and unequal base frequencies equivalent to the empirical base frequencies and a proportion of invariant sites) to the other two. Node support was determined using 1000 standard non-parametric bootstraps [53]. Nodes with support values lower than 70 were collapsed using TreeCollapseCL 4 (available at http://hiv.bio.ed.ac.uk (accessed on 10 May 2022)). A sequence from the species Chelidonisis aurantiaca Studer, 1890 (Suborder Holaxonia; see [54]) was chosen as a suitable outgroup, as all ingroup specimens belonged to suborder Calcaxonia.

2.1.3. Genetic Species Delimitation

The widespread use of DNA barcoding across the tree of life has led to heuristic methods being developed to aid species delimitation. One of the first, and still one of the more popular methods, is the Automatic Barcode Discovery Gap [55], which uses pairwise genetic distances to identify a “barcode gap” which distinguishes intraspecific variation from species divergences. However, due to the slow mutating mitogenome of octocorals, many species share the same sequence across the genetic markers we have used, e.g., [34,35], meaning that in many cases there is no gap to discover. Therefore, this analysis was inappropriate for our data and was not conducted. The Generalized Mixed Yule Coalescent (GMYC) model is a tree-based method that uses phylogenetic information to find the transition between branching points based on coalescence within populations and Yule processes that are due to species divergence [56]. This is a maximum likelihood-based method and requires an ultrametric tree. The results of the GMYC model are affected by phylogenetic uncertainty, thus a Bayesian implementation of this process (bGMYC) was developed that can incorporate this uncertainty and provide statistical probabilities [57]. Finally, “Poisson Tree Process” (PTP) methods use a rooted phylogenetic tree to identify speciation events based on the number of substitutions or branch lengths [58].
An ultrametric tree of all haplotypes was constructed with BEAST 2 [59] using the same partition scheme and substitution models found previously, an Optimised Relaxed Clock [60], and a Birth-Death tree prior (determined as best fit by AIC in comparison with the Yule model). The topology of the tree was constrained to that of the ML analysis by providing the ML tree as a starting tree and removing weight from those priors that affect tree topology. BEAST 2 searches were conducted with 10 million MCMC generations, with trees sampled every 1000 generations. A maximum clade credibility (MCC) tree annotated with median node ages in TreeAnnotator v2.6.3 summarised the posterior distribution of 9001 trees. The convergence of the MCMC runs and mixing of the chains were visually checked in Tracer v 1.6 by verifying the presence of a hairy-caterpillar-like trace. In addition, the effective sample size of all parameters was confirmed as above 200. An MCC tree annotated with median node age in TreeAnnotator v2.6.3 summarised the posterior distribution of 9001 trees.
The GMYC method [56] of species delimitation was implemented in the R package Splits [61], where both single (ST-GMYC) and multiple threshold (MT-GMYC) models were fitted on the MCC tree. A Bayesian extension of this model (bGMYC) was implemented in the R package bGMYC [57], with 50,000 MCMC steps including 40,000 as burn-in and a thinning of 100 steps. bGMYC accounts for uncertainty in the trees by sampling over a posterior distribution of randomly sampled trees; as input, one hundred randomly sampled trees were generated using LogCombiner v 2.6, which resampled the initial 9001 trees, generated from BEAST 2, at a lower frequency. We present the results for p (conspecificity among sequences) > 0.9 since p > 0.95 returns almost every terminus as a unique species, and we include results from different probability thresholds as a heatmap in supplementary information (Figure S50).
We also implemented the multi-rate Poisson Tree Processes (mPTP) method of delimitation using two runs of 10 million MCMC, sampling every 10,000 generations with a 20% burn-in. Both single (ST-mPTP) and multiple (MT-mPTP) threshold models were fitted.

2.2. Morphological Investigation

We examined the gross colony morphology from both the in situ and ex situ imagery (colony structure, branching frequency, polyp density, overall colony appearance) of every sample and assigned morphotype numbers to each unique morphology. We then grouped the samples by genetic haplotype and selected a representative coral specimen for detailed morphological examination for each morphotype present within each haplotype. Due to the limited tissue available for morphological analysis, we used a single polyp for SEM imaging, and a single polyp for in situ visualisation of sclerites. Characteristics such as polyp shape, position of the tentacles, composition, density, and orientation of the sclerites on the body were examined. We compared the findings of the gross morphology and SEM imaging to the relevant taxonomic literature to diagnose individuals to genus or species rank [62,63,64,65,66,67,68,69,70].

2.2.1. Light Microscopy Imaging and In Situ Sclerite Visualisation

Polyp morphology was examined using a dissecting microscope (Olympus ZXP16), and in situ sclerite arrangements of keratoisidids and chrysogorgiids: polyp body, tentacles, and coenenchyme were visualised by clearing the tissue for an hour in clove oil [16]. Once clear, polyps were examined while still submerged in clove oil between a pair of cross-polarising lenses, which reduces glare and reveals the birefringent properties of the sclerites. Images were taken with a camera (Olympus DP71) attached to the dissecting scope using extended focus and subsequently stacked using Combine ZP [71].

2.2.2. Scanning Electron Microscopy

Coral polyps were dissected to examine the different sclerite composition among the different anatomical parts of the coral (keratoisidids: polyp body, coenenchyme, tentacles, and pharynx, chrysogorgiids: polyp body, tentacles, and coenenchyme, primnoids: not dissected). The tissue from each part of the polyp was submerged separately in household bleach (5% sodium hypochlorite) for up to 1 hr to release sclerites, which were subsequently washed with distilled water (dH2O) followed by 300 µL of 6% hydrogen peroxide. For the Primnoidae, the polyp was submerged whole in bleach under a microscope and sclerites were sorted (marginal, medial, basal, opercular, and tentacular sclerites). The reaction between sodium hypochlorite and hydrogen peroxide causes an effervescence that removes any remaining organic residues from the surface of the sclerites. A series of ten washes with dH2O, three washes with 70% ethanol, and three washes in 100% ethanol ensured that sclerites were clean of organic debris and residual salts from the reaction between sodium hypochlorite and hydrogen peroxide. Using a 5x0 detail paintbrush/eyelash, sclerites were mounted onto a double-sided carbon adhesive fixed to a metal stub. Sclerites were gold coated for 120 s using a Quorum Q150R ESplus at a sputter current of 25 mA, resulting in a coat thickness of approximately 10 nm. If sclerites appeared charged during SEM imagery, an additional sputter coat using the same settings was applied and the sclerites reimaged. Sclerites were imaged at 15 kV using a Hitachi S-2600 at the Centre for Microscopy and Imaging, Anatomy, School of Medicine, National University of Ireland Galway. Qualitative descriptions of the sclerite shape and texture were noted and named according to the nomenclature established by Bayer et al. [72].
Keratoisidid polyp body, tentacle, pharynx, and coenenchyme sclerites were examined. Sclerites from the body, tentacles, and coenenchyme were examined from chrysogorgiids. Body wall and opercular scales, in addition to coenenchyme and tentacle sclerites, were examined from specimens of Primnoidae.

2.3. Taxon Identification and Nomenclature Used throughout This Study

Sequences of mtMutS generated in this study (Table 2) were compared with those on GenBank using BLAST to provide a family-level indication of taxon identity.
Specimens were initially identified as bamboo corals based on the occurrence of proteinaceous nodes in an otherwise calcareous skeleton, and their placement in the Keratoisididae was confirmed by amplifying across the CO3mtMutS gene boundary, an arrangement only found in Keratoisididae and some species of Anthoptilum sea pens [73]. For Keratoisididae, we labelled our tree termini with the subclade nomenclature established by France [14] and expanded by Watling et al. [16]. We assigned the nomenclature based on mtMutS sequences generated in this study that were identical or extremely similar (>99.5%) to keratoisidid mtMutS sequences used in Watling et al. [16]. Individuals in the genus Chrysogorgia s.l. were assigned, on the basis of morphological characteristics, by co-author CBU to the established groups of Untiedt et al. [18] to better quantify the observed diversity within the genus while it is undergoing a major redescription. We were conservative in our identifications, and only identified individuals to genus and/or species when we were confident that characteristics matched the relevant taxonomic literature [62,63,64,65,66,67,68,69,70]. Where there was doubt, we assigned individuals to a higher taxonomic rank in which we had confidence.

3. Results

Sequencing revealed 38 unique sequences (haplotypes, H1–H38; Table S3) from the concatenated alignment of the superextended barcode representing 44 distinct morphotypes, numbered M1–M44 (Figure 2, Figure 3, Figure 4, Figure 5 and Figures S1–S49). More haplotypes were recovered using the superextended barcode than with each genetic marker independently (Table S3). In the ML tree, three main clades, each with bootstrap support of 100%, represented (1) Keratoisididae, (2) Primnoidae, and (3) Chrysogorgiidae (Figure 6). All specimens were deposited at the Smithsonian Institute National Museum of Natural History Invertebrate Collection (USNM: 159348–1593580, Table S1).

3.1. Clade 1—Keratoisididae

Gross morphology identified 30 keratoisidid morphotypes belonging to 23 haplotypes. The primary morphological features (colony shape, branching pattern, polyp morphology, coenenchyme thickness, tentacle positioning, and sclerome) of each morphotype are summarised in Table 3.
Genus names could be assigned to some haplotypes identified as being members of Watling et al.’s [16] subclades A1 (Acanella) and D2 (Eknomisis). The subclades B1, C1, D1, and F1 do not contain any currently accepted genera, and the only recognised genus to date in I1 is Lepidisis. Lepidisis is polyphyletic [74], as lack of branching is the diagnostic characteristic for this genus, and this trait is now recognised as labile [14,15,75]. Thus, Lepidisis cannot be used to broadly diagnose unbranched bamboo corals, and the true generic affinity of nine of the eleven presently accepted species is uncertain (see [74]). Only Lepidisis caryophyllia Verrill, 1883 (the type species) and Lepidisis cyanae Grasshoff, 1986 are considered to be representatives of the genus. None of our specimens matched the type description of L. cyanae (the polyp morphology and sclerite composition is best observed in Figures 8 and 9 in Grasshoff [76]), which is known to occur in the Northeast Atlantic. Jasonisis is the only accepted genus recognised from J3. No individuals within J3 in our study could be diagnosed as representative of that genus. It is known that there are many undescribed genera within Keratoisididae [16], thus, in many cases, there are no names to assign.
Keratoisididae (Clade 1) is composed of four smaller clades (1i, 1ii, 1iii, and 1iv) joined in a polytomy.
Clade 1i, which unites 12 termini, received 85% bootstrap support and contains representatives of the France/Watling [16] subclades D2, D1, B1, and F1. One species delimitation method, MT-mPTP, recovered this entire clade as a single species.
Members of D1 and D2 were recovered in a monophyletic group (100% bootstrap support) comprising 14 individuals. ST-mPTP species delimitation recovered these seven haplotypes as a single species. Of these seven haplotypes, five (Haplotypes 7, 8, 9, 10, and 11) belonged to D2. MT-GMYC and ST-mPTP recovered these five haplotypes as a single species, but MT-GMYC and bGMYC recognised Haplotypes 9, 10, and 11 as one species and Haplotypes 7 and 8 as a second. Haplotypes 7 and 8 were identified as representatives of the genus Eknomisis due to the oblique arrangement of the needle and rod sclerites along the polyp body (Figures S4–S6) [68].
Two haplotypes belonged to D1 (Haplotype 1 and 2) and were recovered as sister species (93% bootstrap support). Both ST- and MT-GMYC recognized the two haplotypes as one species; only bGMYC recognised these two haplotypes as individual species.
Fourteen individuals belonging to four haplotypes (Haplotype 3–Haplotype 6) were considered as representative of Watling et al.’s [16] B1 and were unified with 72% bootstrap value. ST-GMYC and bGMYC recognised Haplotype 3, Haplotype 4, and Haplotype 6 as one species, with Haplotype 5 as a second, whereas ST-mPTP recognised all four haplotypes as one species, and MT-GMYC recognised three species, uniting Haplotype 4 and Haplotype 6 as one of those three species. Among the fourteen individuals, five morphotypes were discerned (Table 3).
Lineage F1 (Haplotype 23, Figure 4b) is represented by a single whip coral. All species delimitation methods recovered this haplotype as representing a single species except MT-mPTP, which considered this lineage to be part of a species also encompassing B1, D1, and D2.
Clade 1ii comprises representatives of Watling et al. [16] subclades I1 and J3, with seven termini unified by a node with 99% bootstrap support. One species delimitation method, MT-mPTP, determined the entire clade was representative of only a single species.
Subclade I1 has four termini (Haplotypes 12–15) united by 86% bootstrap support. Both ST- and MT-mPTP recovered the four haplotypes as one species, but other genetic species delimitation methods generated different solutions: ST-GMYC and bGMYC united Haplotype 12–Haplotype 14 as a species, but delimited Haplotype 15 as a unique species while MT-GMYC united Haplotype 12 and Haplotype 13, but delimited each of Haplotype 14 and Haplotype 15 as unique species. The fifteen specimens whose sequences formed subclade I1 comprised five morphotypes (Table 3).
Subclade J3 has three termini (Haplotypes 18–20), comprising ten individuals (representing four morphotypes) united with 100% bootstrap support. These three haplotypes were recovered as a single species by all genetic species delimitation methods except bGMYC, which combined Haplotype 18 and Haplotype 19 as a single species, and recovered Haplotype 20 as a separate unique species. The tissue of every one of our individuals assigned to J3 turned various shades of brown post-preservation in 100% ethanol, a process that has only been reported in keratoisidids for the species Jasonisis thresheri Alderslade and McFadden, 2012 [77] but occurs in other J3 specimens (pers. obvs. D. Morrissey), suggesting this may be a useful diagnostic trait of the wider J3 subclade.
Clade 1iii unites two termini, both of which are representative of Watling et al. [16] subclade A1, with 73% bootstrap support. MT-mPTP recovered this clade and clade 1iv as a single species.
Subclade A1 contains two termini (Haplotypes 21 and 22), which were consistently delimited as separate species by all genetic species delimitation methods except ST-mPTP. The ten specimens which yielded these two haplotypes were diagnosed as Acanella based on the orange-coloured bush-like colonies which branch from the nodes in whorls. The three morphotypes of specimens sequenced as Haplotype 21 varied from loose to tightly branched bushes (M24, Figure 3m; M25, Figure 3n; and M26, Figure 3o), with M24 being found in deeper water (~2000 m), M26 in shallower water (~1300 m), and M25 in intermediate depths (~1600 m). M24, M25, and M26 were all identified as Acanella arbuscula due to the funnel-shaped polyps and/or the presence of elongated rods arranged obliquely along the polyps (Figures S26–S28) [69]. The single specimen sequenced as Haplotype 22 has a flattened more planar colony form (M27, Figure 4a) that does not match the description of any accepted species of Acanella known from the North Atlantic [69]. However, it is possible that this specimen is also A. arbuscula and that the full range of intraspecific variation of this species has yet to be described. Due to the current taxonomic uncertainty, the assignment was left at genus rank.
Clade 1iv contains only individuals assigned to Watling et al. (2022) subclade C1. Subclade C1 contained two termini (Haplotype 16 and 17), which were each recovered as a species by all genetic species delimitation methods except MT-mPTP, which recovered Clade 1iv and Clade 1iii as a single species. C1 specimens comprised three morphotypes of unbranched whip corals (Table 3).

3.2. Clade 2—Primnoidae

Primnoidae was recovered as monophyletic (Clade 2), comprising nine haplotypes (Haplotypes 31–38) unified by a node with 100% bootstrap support. According to genetic species delimitation methods, these termini represented as many as seven species, or as few as one (Table 4). Species names were assigned to all primnoid haplotypes except the four haplotypes assigned to Primnoa sp. (H33–H36). All Primnoa sp. haplotypes were united with 100% bootstrap support. All genetic species delimitation methods recognized these four haplotypes as a single species, except for bGMYC, which recognised Haplotype 34 as one species and Haplotypes 33, 35, and 36 as another, and MT-mPTP, which, while recognising the four termini as one species, also included five other termini as representing that species. All Primnoa sp. haplotypes comprised a single shared morphotype (M31) which had a similar gross morphology to Primnoa resedaeformis (Gunnerus, 1763), including an arborescent colony form densely packed with irregularly placed polyps. However, there were key characteristicss differentiating the morphotype from P. resedaeformis: M31 had neatly arranged paired abaxial body–wall scales (Figures S33–S36), while the body–wall scales of P. resedaeformis are characteristically irregularly placed (best observed in Figure 2 of Cairns and Bayer [65]). A wide variation in polyp morphology has been reported for P. resedaeformis [65], which could mean that the morphological differences observed in M31 could be attributed to intraspecific variation; however, since we could not confidently determine this, the assignment of M31 was kept at genus rank.
In a larger clade with Primnoa sp. are Narella bellissima (Kükenthal, 1915), Narella versluysi (Hickson, 1909), and Candidella imbricata (Johnson, 1862) (Haplotypes 30–32), unified by 93% bootstrap support. Narella bellissima was identified by its distinctive lyrate branching (M32, Figure 4k) and the presence of larger yet fewer polyps per whorl. Narella versluysi was identified by its sparsely dichotomous branching (M33, Figure 4m) and smaller, more densely packed polyps per whorl. Candidella imbricata was identified by the characteristic fan shape of the parent colony that had polyps standing perpendicular to the main axis (M34, Figure 4l). ST-GMYC, MT-GMYC, and bGMYC identified those as three separate species, whereas ST-mPTP identified them as a single species, and MT-mPTP identified them as components of a single species that spans Clade 2.
The remaining two termini of Clade 2 were identified as Thouarella grasshoffi Cairns, 2006 (Haplotype 37) and Calyptrophora clinata Cairns, 2007 (Haplotype 38). Thouarella grasshoffi is one of only two Thouarella species in the North Atlantic and is distinctive due to its bottle-brush colony morphology (M35, Figure 5c) and the presence of paired polyps. Calyptrophora clinata has downward-facing polyps, with the basal scales containing a pair of thin spines that are serrated along their entire length (M36, Figure 5d). All genetic delimitation methods recovered these as unique species, except for MT-mPTP, which recovered a single species for the entire Primnoidae clade (Clade 2), as mentioned previously.

3.3. Clade 3—Chrysogorgiidae

Five haplotypes (Haplotypes 25, 26, 27, 28, and 29), were recovered within a monophyletic clade. All 20 individuals were initially assigned to the genus Chrysogorgia s.l. Duchassaing and Michelotti, 1864 due to the distinctive overall colony morphologies and results from comparisons of mtMutS in GenBank. One of the authors (CBU) identified individuals based on taxonomically useful morphological characters to their corresponding new group ID, as established in Untiedt et al. [18]. Haplotype 27 was assigned to Group 3 (M39–M41), Haplotype 28 was assigned to Dasygorgia (M42, Figure 4i), Haplotype 29 was assigned to Group 1 (M43, Figure 4j), and Haplotype 25 (M37, Figure 4d) and Haplotype 26 (M38, Figure 4e) were assigned to Group 7. M39 and M41, represented by four and two individuals, respectively, both had a bottle brush gross colony shape. M39 was orange in colour, with an unbranched axial skeleton (main stem of the coral) and a dense population of polyps on the lateral branches such that the main stem was not visible. M41, had a distinctive “Y” branching at the distal end of the main stem and lateral branches containing fewer polyps. M40 comprised two individuals with unbranched axial skeletons with pinker, well-spaced polyps along the lateral branches resulting in an overall colony morphology reminiscent of a small loose bush.
All delimitation methods except bGMYC found both representatives of Group 1 (Haplotype 25 and Haplotype 26) to be the same species, and all GMYC methods (ST-GMYC, MT-GMYC, bGMYC) found that Haplotype 27, Haplotype 28, and Haplotype 29 each represent a distinct species. ST-mPTP delimited two species, one represented by Haplotypes 25–28 and the other by Haplotype 29, while MT-mPTP recovered the clade as a single species.

3.4. Chelidonisididae

Haplotype 25, represented by a single individual, was identified morphologically as Chelidonisis aurantiaca Studer, 1890. Initially, it was thought to be a keratoisidid due the presence of nodes on the axis, yet no PCR reaction amplified across the characteristic keratoisidid CO3—mtMutS gene boundary and instead successfully amplified across the ND4LmtMutS boundary, suggesting it was a different family of bamboo coral. The gross colony morphology of a planar colony with dichotomous branching, and orange coenenchyme (M44, Figure 4c) with six-radiate sclerites (Figure S49), was used to diagnose the species [70]. While six-radiate sclerites are also found in other genera of octocorals such as Corallium and Paragorgia, this feature in corals with nodes is unique to Chelidonisis.

3.5. Uncertainty in Species Estimates

In total, we believe that there are between 25 and 40 species of octocorals in our dataset (Table 4). The largest uncertainty in estimating the upper and lower bounds in our species estimate is due primarily to the poorly understood species boundaries in Keratoisididae.
We placed the lower bound of our keratoisidid species estimate at 14, the number of potential species delimited by bGMYC when a p > 0.9 threshold is applied. Other delimitation methods retuned lower species estimates. For example, MT-mPTP inferred corals from multiple subclades comprised a single species. Such scenarios are unrealistic since the Watling et al. subclades contain multiple undescribed genera, thus the lower estimates returned by some delimitation methods were discarded. The upper bound of our keratoisidid species estimate was 27, which was estimated by considering each morphotype (apart from the three morphotypes diagnosed as A. arbuscula) as a unique species.
The number of putative species in Primnoidae is six or seven. Five haplotypes were diagnosed to an accepted species rank, which is congruent with the delimitation by bGMYC, ST-GMYC and MT-GMYC. Neither ST-mPTP nor MT-mPTP could successfully delimit these species, and thus we discarded the lower species estimates inferred by those methods. The uncertainty in the absolute number of primnoid species is that the four haplotypes diagnosed as Primnoa sp. may represent one species with high haplotypic diversity, or two species as per bGMYC.
There are either four or five species of Chrysogorgiidae in our dataset. Each of Untiedt et al.’s [18] Chrysogorgia groups represents a candidate genera, meaning that there is a minimum of four species present in our data (and potentially five, as there are two haplotypes diagnosed as members of Chrysogorgia Group 7).
There is only one species of Chelidonisididae, C. aurantiaca.

4. Discussion

4.1. Morphological and Genetic Diversity of Calcaxonians

The morphological diversity of keratoisidids is not reflected in the genetic diversity using a concatenated alignment of mtMutS, COI + igr1, 16S rRNA-ND2, and igr4. Of the 30 morphotypes observed across the 23 keratoisidid haplotypes recovered, 16 are found within seven haplotypes (Haplotypes 1, 6, 8, 13, 16, 19, and 21). Morphotypes are also shared between haplotypes; for example, M17 is shared between Haplotypes 13 and 14 and M10 between Haplotypes 4 and 6, suggesting that some species may have more genetic diversity in the selected markers than others. The octocoral genus Paramuricea was thought to harbour multiple distinct species off Canada due to the high haplotypic diversity present [78]; however, more recent examination of those same individuals using genetic variation present in single nucleotide polymorphisms (SNPs) generated via Restriction-site Associated DNA sequencing (RADseq) found that there is evidence for a single species with multiple mtMutS haplotypes [79]. Multiple putative species have also been observed to share an identical mtMutS haplotype: for example, three putative species within the genus Chrysogorgia shared a mtMutS haplotype [24], and two Narella species, N. hawaiiensis Cairns and Bayer, 2008 and N. dichotoma (Versluys, 1906) shared a single mtMutS haplotype [37]. Further genetic work with more variable markers on a wide range of specimens will help untangle what is intraspecific variation and where the species boundaries are.
From our data, there is no consistency in the potential species assignments among genetic delimitation methods, and without additional genome-wide data, it is impossible to accurately define species boundaries. However, it is unlikely that every haplotype or every morphotype represents a distinct species. For example, Haplotype 21 contains three distinct morphotypes (M24, M25, and M26) all diagnosed as Acanella arbuscula. Acanella arbuscula is known to exhibit a wide range of gross colony morphologies [69], and in this current study, three morphotypes were identified that broadly corresponded to a depth cline. The gross morphology of A. arbuscula changed from a loose bush (M24) at ~2000 m to a tight bush (M25) at ~1600 m and finally to a more funnel-shaped bushy colony (M24) at ~1300 m. Phenotypic plasticity along a depth cline has been observed in shallow and mesophotic corals; Eunicea flexuosa (Lamouroux, 1821) has a shallow (<5 m) and deep (>17 m) morphotype in the Caribbean [80] and Briareum asbestinum (Pallas, 1766) has distinct morphs found at 5 m and 35 m [81].
In Clade I1, Haplotype 13 comprises three morphotypes (M16, M17, and M18) that are vastly different in gross colony morphology and are likely to represent different species rather than phenotypic plasticity. Haplotype 4 and some individuals of Haplotype 6 were diagnosed as being the same morphotype, M10, based on gross morphology. However, they differ in their sclerite composition, with Haplotype 4 having wider flat rods in the tentacles, whereas M10 individuals from Haplotype 6 had narrow elongated rods. Finally, Haplotypes 33, 34, 35, and 36 are all diagnosed as Primnoa sp. And all share the same gross colony morphology, M31, which suggests they are all the same species and that there is just high haplotypic diversity within this species using the selected genetic markers. Genetically, the mtMutS sequence of Haplotype 34 is identical to Primnoa notialis Cairns and Bayer, 2005 (GenBank Accession Number MG986917.1 [20]), Primnoa pacifica Kinoshita, 1907 (GenBank Accession number MF319956.1 [82]), and P. resedaeformis (GenBank Accession Number MG986945.1 [20]), while Haplotypes 35, 36, and 37 have a single mutation that differentiates them from these sequences (99.87% similarity). This highlights the need for better markers to delimit between species in this genus.
We found using the superextended barcode comprising the four gene regions, chosen based on previous delimitation potential across different families within the suborder Calcaxonia but not previously used as a single multilocus barcode, delimited more haplotypes than any single gene barcode. The species delimiting power of the intergenic spacer between COB and ND6 (igr4) within Keratoisididae suggested by van der Ham et al. [36] was further evidenced by our data where 16 igr4 haplotypes were recovered versus 13 mtMutS haplotypes (Table S3). This delimiting power was neither observed in Primnoidae, where the well-established primnoid genera Narella, Candidella, and Primnoa shared a single igr4 haplotype, nor in Chrysogorgiidae, where igr4 could not even successfully delimit among all groups of Chrysogorgia (Chrysogorgia Group 3 and Dasygorgia share an igr4 haplotype; Table S3). When the morphological and molecular species designations of Narella were compared, the inclusion of ND2 with the extended octocoral barcode successfully delimited more species than mtMutS and COI + igr1 on its own [37]. The primers for ND2 capture 209 bp of 16S rRNA, and we included these bases in our alignment because of the increased variation it provided when used with ND2. The 16S rRNA-ND2 genetic fragment yielded 15 keratoisidid haplotypes demonstrating delimiting power in Keratoisididae.

4.2. The Usefulness of Genetic Species Delimitation in Octocorals

The number of potential species genetically delimited varied between 5 and 27 depending on the method of delimitation used. MT-mPTP delimited the fewest species and bGMYC recovered the most (the different species recovered using different p thresholds in bGMYC can be found in Figure S50). Due to the lack of variation in octocoral mitochondrial genes, individuals of different species might have identical DNA sequences at these markers, making it likely that multiple species are represented by a single terminus. Since multiple species potentially share a terminus, genetic species delimitation methods could never delimit the species successfully, and additional avenues of investigation such as morphology are required. The added variability associated with using additional nuclear markers such as 28S may help increase the delimiting power of our concatenated alignment, as seen in the well-studied shallow-water genera Sinularia [34,83] and Ovubunda [84], and should be included in future barcoding studies. However, some nuclear markers such as the multicopy internal transcribed spacers (ITS1 and ITS2) may not have a shared evolution due to the heterogeneity in copies of ITS in the genome between species [85], limiting their potential usefulness as barcodes.
Where multiple species are represented by a single terminus, the calibration of intraspecific versus interspecific branching rates in GMYC delimitation methods may be affected [86]. The low nucleotide substitution rates within octocoral mitogenomes further limit the effectiveness of substitution-based delimitation methods such as mPTP, as potentially observed where MT-mPTP united all members of Primnoidae as one species and all members of Chrysogorgiidae as another.
bGMYC is believed to have performed the best, as the differences in morphology between individuals both within and between keratoisidid haplotypes suggest that there are more putative species in our samples than recovered by any genetic delimitation, and bGMYC recovered the most species. However, it is accepted that our current knowledge of intraspecific variation in octocorals is limited, and that some species, such as A. arbuscula, exhibit a wide range of distinctive morphologies, which must be considered as potential intraspecific variation, when we interpret the number of species present. bGMYC successfully delimited all accepted species in the Primnoidae, delimited species among the different groups within the Chrysogorgiidae, and found that the two morphotypes within Chrysogorgia s.l. Group 7 were different species.

4.3. Comparisons of Keratoisidid Diversity with Other Regions

Due to its distinctive gross colony morphology and colouration, Acanella is the most easily identifiable bamboo coral for many deep-sea researchers; therefore, there are relatively more records in the literature of individuals within this genus. Along the Irish Margin, coral gardens dominated by Acanella species have been reported from the Whittard Canyon at unspecified depths between 520 and 4073 m [23,87], along the Hebrides Slope at 1295 m [88], and the Northern Feni Ridge along the Eastern Rockall Bank at 1920 m [89], with occurrences of the species also reported from the rocky outcrop along the Western Hatton Bank between 1100–1600 m [90] and as bycatch from longlining in this region [91] between 950–2200 m.
Because of taxonomic difficulties in Keratoisididae, specific records of the bamboo species encountered in this study are difficult to source. Dense patches of bamboo corals from subclade D2 have been identified at ~900 m in Baffin Bay between Greenland and Canada [92]. These D2 corals were found anchored into soft sediment and had overall bramble-shaped colonies, which were morphologically distinct from any morphotypes we identified off Ireland. One species of keratoisidid, “Keratoisidinae sp. 1” [93], was found at 1288 m on the Galicia Bank and shared the same polyp morphology as M22 (Figure S24) in subclade J3, suggesting it may represent the same species. Four other keratoisidid species, excluding the previously mentioned A. arbuscula, were also collected from the Galicia Bank [93], but none appeared comparable to morphotypes described herein. In comparison with the 14–27 potential species of keratoisidid found in this study, nine keratoisidid morphotypes were found across 17 peaks of the New England and Corner Rise seamounts, including two that could be diagnosed as Keratoisis grayi Wright, 1869 (D2) and A. arbuscula (A1), one morphotype each that was representative of C1, D2, and J3, two morphotypes from subclade D1, and two undescribed species that could not be assigned to a subclade [94]. Our results suggest that the Irish Continental Slope may be an important biodiversity hotspot of keratoisidids; however, further specimens will need to be examined to confirm this.

4.4. Interesting New Occurence Records

This is the first report of C. clinata in Irish waters, and only the second for the Northeast Atlantic, the other being from the Galicia Bank [93]. This species is known from the Northwest Atlantic [64], including the New England and Corner Rise Seamounts [95] (which suggests an Amphi-Atlantic distribution), and from deep waters around New Zealand [96]. Cairns [96] reports that the C. clinata specimens from New Zealand are morphologically identical to those reported from the Northwestern Atlantic, where the species was first described by Cairns [64]. Other scleractinian coral species have been found to have the same disjunct distribution: the cup corals Vaughanella concinna Gravier, 1915 and Dasmosmilia lymani (Pourtalès, 1871) are both found in the North Atlantic, The West Pacific, and the deep waters around New Zealand [96].
This is the second record of C. aurantiaca from Irish waters, the other being in 1907 [97]. Previously, this species has been identified from Morocco to SW Ireland in the Northeast Atlantic, the Florida Keys to the Bahamas in the Northwest Atlantic, and the Ligurian Sea in the Mediterranean (summarised in [98]). Our record is also the deepest this species has ever been observed at 1507 m (previously 1332 m).

5. Conclusions

While we did not report on an absolute number of species present in our dataset, this study represents a significant improvement in our understanding of the distribution, morphological diversity, and genetic diversity of calcaxonian octocorals along the Irish continental slope and is the first step towards quantifying the observed biodiversity in the region. Using a superextended barcode (comprising mtMutS, CO1 + igr1, 16S rRNA-ND2, and igr4) and subsequent genetic species delimitation in tandem with a detailed morphological investigation, we estimate that there are between 25 and 40 species of octocorals in our dataset. However, it is clear that further taxonomic work is needed before a more accurate species estimate is possible for the keratoisidids and chrysogorgiids.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/d14070576/s1, Figures S1–S49: Taxonomic plates for every morphotype within every haplotype; Figure S50: bGMYC heatmap; Table S1: Sampling information of all octocorals used in this study; Table S2: Partition information used in the construction of the phylogenetic tree; Table S3: Haplotype breakdown for every individual in this study from every genetic marker used.

Author Contributions

Conceptualization, D.M. and A.L.A.; methodology, D.M., A.L.A., C.B.U., K.C., A.R. and E.T.; formal analysis, D.M. and A.L.A.; writing—original draft preparation, D.M. and A.L.A.; writing—review and editing, D.M., A.L.A. and C.B.U.; supervision, A.L.A. All authors have read and agreed to the published version of the manuscript.

Funding

D. Morrissey is funded by an Irish Research Council Postgraduate Scholarship (GOIPG/2019/3682). The APCs for this publication were funded with the support of the Marine Institute under the Marine Research Programme with the support of the Irish Government. Expeditions (CE17008 and CE18012) of RV Celtic Explorer funded by Science Foundation Ireland and the Marine Institute under Investigators Programme Grant SFI/15/IA/3100 and co-funded under the European Regional Development Fund 2014–2020 awarded to A. L. Allcock.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The sequences and meta data of the specimens were deposited in GenBank. Accession numbers listed in Table 2.

Acknowledgments

Images taken with ROV Holland I deployed from RV Celtic Explorer copyright Marine Institute. We thank the crew and scientists of cruises CE17008 and CE18012 aboard RV Celtic Explorer and the crew operating ROV Holland I for all their help. We thank Emma McDermott at the Centre for Microscopy and Imaging, Anatomy, School of Medicine, National University of Ireland Galway for all the Scanning Electron Microscopy images of the sclerites and for advice on sample preparation. D. Morrissey would like to thank Alexa Parimbelli for informative conversations on identifying corals from imagery, and Jamie Maxwell for his GIS skills and critical review of the manuscript. We thank Les Watling for his advice regarding bamboo coral taxonomy and in situ sclerite visualization techniques. Finally, we would like to thank the reviewers for their suggestions and comments which substantially improved the manuscript.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Ramirez-Llodra, E.; Tyler, P.A.; Baker, M.C.; Bergstad, O.A.; Clark, M.R.; Escobar, E.; Levin, L.A.; Menot, L.; Rowden, A.A.; Smith, C.R.; et al. Man and the last great wilderness: Human impact on the deep sea. PLoS ONE 2011, 6, e22588. [Google Scholar] [CrossRef] [Green Version]
  2. Fernandez-Arcaya, U.; Ramirez-Llodra, E.; Aguzzi, J.; Allcock, A.L.; Davies, J.S.; Dissanayake, A.; Harris, P.; Howell, K.; Huvenne, V.A.I.; Macmillan-Lawler, M.; et al. Ecological Role of Submarine Canyons and Need for Canyon Conservation: A Review. Front. Mar. Sci. 2017, 4, 5. [Google Scholar] [CrossRef] [Green Version]
  3. Morato, T.; Hoyle, S.D.; Allain, V.; Nicol, S.J. Seamounts are hotspots of pelagic biodiversity in the open ocean. Proc. Natl. Acad. Sci. USA 2010, 107, 9707–9711. [Google Scholar] [CrossRef] [Green Version]
  4. Roberts, J.M.; Wheeler, A.J.; Freiwald, A. Reefs of the deep: The biology and geology of cold-water coral ecosystems. Science 2006, 312, 543–547. [Google Scholar] [CrossRef] [Green Version]
  5. Levin, L.A.; Sibuet, M. Understanding continental margin biodiversity: A new imperative. Ann. Rev. Mar. Sci. 2012, 4, 79–112. [Google Scholar] [CrossRef]
  6. White, M.; Dorschel, B. The importance of the permanent thermocline to the cold water coral carbonate mound distribution in the NE Atlantic. Earth Planet. Sci. Lett. 2010, 296, 395–402. [Google Scholar] [CrossRef]
  7. Johnson, M.P.; White, M.; Wilson, A.; Würzberg, L.; Schwabe, E.; Folch, H.; Allcock, A.L. A vertical wall dominated by Acesta excavata and Neopycnodonte zibrowii, part of an undersampled group of deep-sea habitats. PLoS ONE 2013, 8, e79917. [Google Scholar] [CrossRef]
  8. Pearman, T.R.R.; Robert, K.; Callaway, A.; Hall, R.; Lo Iacono, C.; Huvenne, V.A.I. Improving the predictive capability of benthic species distribution models by incorporating oceanographic data—Towards holistic ecological modelling of a submarine canyon. Prog. Oceanogr. 2020, 184, 102338. [Google Scholar] [CrossRef]
  9. Watling, L.; France, S.C.; Pante, E.; Simpson, A. Biology of Deep-Water Octocorals. In Advances in Marine Biology; Lesser, M.B.T.-A., In, M.B., Eds.; Academic Press: Cambridge, MA, USA, 2011; Volume 60, pp. 41–122. ISBN 0065-2881. [Google Scholar]
  10. Etnoyer, P.; Warrenchuk, J. A catshark nursery in a deep gorgonian field in the Mississippi Canyon, Gulf of Mexico. Bull. Mar. Sci. 2007, 81, 553–559. [Google Scholar]
  11. Shea, E.K.; Ziegler, A.; Faber, C.; Shank, T.M. Dumbo octopod hatchling provides insight into early cirrate life cycle. Curr. Biol. 2018, 28, R144–R145. [Google Scholar] [CrossRef] [Green Version]
  12. de Neves, B.M.; Wareham Hayes, V.; Herder, E.; Hedges, K.; Grant, C.; Archambault, P. Cold-Water Soft Corals (Cnidaria: Nephtheidae) as Habitat for Juvenile Basket Stars (Echinodermata: Gorgonocephalidae). Front. Mar. Sci. 2020, 7, 547896. [Google Scholar] [CrossRef]
  13. Prouty, N.G.; Fisher, C.R.; Demopoulos, A.W.J.; Druffel, E.R.M. Growth rates and ages of deep-sea corals impacted by the Deepwater Horizon oil spill. Deep. Res. Part II Top. Stud. Oceanogr. 2016, 129, 196–212. [Google Scholar] [CrossRef]
  14. France, S.C. Genetic analysis of bamboo corals (Cnidaria: Octocorallia: Isididae): Does lack of colony branching distinguish Lepidisis from Keratoisis? Bull. Mar. Sci. 2007, 81, 323–333. [Google Scholar]
  15. Dueñas, L.F.; Alderslade, P.; Sánchez, J.A. Molecular systematics of the deep-sea bamboo corals (Octocorallia: Isididae: Keratoisidinae) from New Zealand with descriptions of two new species of Keratoisis. Mol. Phylogenet. Evol. 2014, 74, 15–28. [Google Scholar] [CrossRef]
  16. Watling, L.; Heestand Saucier, E.; France, S.C. Towards a revision of the bamboo corals (Octocorallia): Part 4, delineating the family Keratoisididae. Zootaxa 2022, 5093, 337–375. [Google Scholar] [CrossRef]
  17. Cordeiro, R.; McFadden, C.S.; Van Ofwegen, L.; Williams, G. World List of Octocorallia. Available online: https://www.marinespecies.org/aphia.php?p=taxdetails&id=125294 (accessed on 25 May 2022).
  18. Untiedt, C.B.; Quattrini, A.M.; McFadden, C.S.; Alderslade, P.A.; Pante, E.; Burridge, C.P. Phylogenetic Relationships Within Chrysogorgia (Alcyonacea: Octocorallia), a Morphologically Diverse Genus of Octocoral, Revealed Using a Target Enrichment Approach. Front. Mar. Sci. 2021, 7, 599984. [Google Scholar] [CrossRef]
  19. Taylor, M.L.; Rogers, A.D. Primnoidae (Cnidaria: Octocorallia) of the SW Indian Ocean: New species, genus revisions and systematics. Zool. J. Linn. Soc. 2017, 181, 70–97. [Google Scholar] [CrossRef] [Green Version]
  20. Cairns, S.D.; Wirshing, H.H. A phylogenetic analysis of the Primnoidae (Anthozoa: Octocorallia: Calcaxonia) with analyses of character evolution and a key to the genera and subgenera. BMC Evol. Biol. 2018, 18, 66. [Google Scholar] [CrossRef] [Green Version]
  21. Núñez-Flores, M.; Gomez-Uchida, D.; López-González, P.J. Molecular systematics of Thouarella (Octocorallia: Primnoidae) with the description of three new species from the Southern Ocean based on combined molecular and morphological evidence. Invertebr. Syst. 2021, 35, 655–674. [Google Scholar] [CrossRef]
  22. Davies, J.S.; Stewart, H.A.; Narayanaswamy, B.E.; Jacobs, C.; Spicer, J.; Golding, N.; Howell, K.L. Benthic assemblages of the Anton Dohrn Seamount (NE Atlantic): Defining deep-sea biotopes to support habitat mapping and management efforts with a focus on vulnerable marine ecosystems. PLoS ONE 2015, 10, e124815. [Google Scholar] [CrossRef] [Green Version]
  23. Robert, K.; Jones, D.O.B.; Tyler, P.A.; Van Rooij, D.; Huvenne, V.A.I. Finding the hotspots within a biodiversity hotspot: Fine-scale biological predictions within a submarine canyon using high-resolution acoustic mapping techniques. Mar. Ecol. 2015, 36, 1256–1276. [Google Scholar] [CrossRef]
  24. Pante, E.; Abdelkrim, J.; Viricel, A.; Gey, D.; France, S.C.; Boisselier, M.C.; Samadi, S. Use of RAD sequencing for delimiting species. Heredity 2015, 114, 450–459. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Herrera, S.; Shank, T.M. RAD sequencing enables unprecedented phylogenetic resolution and objective species delimitation in recalcitrant divergent taxa. Mol. Phylogenet. Evol. 2016, 100, 70–79. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Erickson, K.L.; Pentico, A.; Quattrini, A.M.; McFadden, C.S. New approaches to species delimitation and population structure of anthozoans: Two case studies of octocorals using ultraconserved elements and exons. Mol. Ecol. Resour. 2021, 21, 78–92. [Google Scholar] [CrossRef] [PubMed]
  27. Quattrini, A.M.; Wu, T.; Soong, K.; Jeng, M.S.; Benayahu, Y.; McFadden, C.S. A next generation approach to species delimitation reveals the role of hybridization in a cryptic species complex of corals. BMC Evol. Biol. 2019, 19, 116. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Brasier, M.J.; Wiklund, H.; Neal, L.; Jeffreys, R.; Linse, K.; Ruhl, H.; Glover, A.G. DNA barcoding uncovers cryptic diversity in 50% of deep-sea antarctic polychaetes. R. Soc. Open Sci. 2016, 3, 160432. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Puckridge, M.; Andreakis, N.; Appleyard, S.A.; Ward, R.D. Cryptic diversity in flathead fishes (Scorpaeniformes: Platycephalidae) across the Indo-West Pacific uncovered by DNA barcoding. Mol. Ecol. Resour. 2013, 13, 32–42. [Google Scholar] [CrossRef] [PubMed]
  30. Muthye, V.; Mackereth, C.D.; Stewart, J.B.; Lavrov, D.V. Large dataset of octocoral mitochondrial genomes provides new insights into mt-mutS evolution and function. DNA Repair 2022, 110, 103273. [Google Scholar] [CrossRef]
  31. Bilewitch, J.P.; Degnan, S.M. A unique horizontal gene transfer event has provided the octocoral mitochondrial genome with an active mismatch repair gene that has potential for an unusual self-contained function. BMC Evol. Biol. 2011, 11, 228. [Google Scholar] [CrossRef] [Green Version]
  32. France, S.C.; Hoover, L.L. DNA sequences of the mitochondrial COI gene have low levels of divergence among deep-sea octocorals (Cnidaria: Anthozoa). Hydrobiologia 2002, 471, 149–155. [Google Scholar] [CrossRef]
  33. France, S.C.; Hoover, L.L. Analysis of variation in mitochondrial DNA sequences (ND3, ND4L, MSH) among Octocorallia (=Alcyonaria) (Cnidaria: Anthozoa). Bull. Biol. Soc. Washingt. 2001, 10, 110–118. [Google Scholar]
  34. McFadden, C.S.; Benayahu, Y.; Pante, E.; Thoma, J.N.; Nevarez, P.A.; France, S.C. Limitations of mitochondrial gene barcoding in Octocorallia. Mol. Ecol. Resour. 2011, 11, 19–31. [Google Scholar] [CrossRef] [PubMed]
  35. Benayahu, Y.; van Ofwegen, L.P.; Dai, C.F.; Jeng, M.S.; Soong, K.; Shlagman, A.; Du, S.W.; Hong, P.; Imam, N.H.; Chung, A.; et al. The octocorals of dongsha atoll (South China sea): An iterative approach to species identification using classical taxonomy anmolecular barcodes. Zool. Stud. 2018, 57, e50. [Google Scholar] [CrossRef]
  36. van der Ham, J.L.; Brugler, M.R.; France, S.C. Exploring the utility of an indel-rich, mitochondrial intergenic region as a molecular barcode for bamboo corals (Octocorallia: Isididae). Mar. Genomics 2009, 2, 183–192. [Google Scholar] [CrossRef]
  37. Baco, A.R.; Cairns, S.D. Comparing molecular variation to morphological species designations in the deep-sea coral Narella reveals new insights into seamount coral ranges. PLoS ONE 2012, 7, e45555. [Google Scholar] [CrossRef] [Green Version]
  38. Ross, L.K.; Ross, R.E.; Stewart, H.A.; Howell, K.L. The influence of data resolution on predicted distribution and estimates of extent of current protection of three “listed” deep-sea habitats. PLoS ONE 2015, 10, e140061. [Google Scholar] [CrossRef] [Green Version]
  39. Esri Inc. ArcGIS Pro; Version 2.8; Esri Inc.: Redlands, CA, USA, 2020. [Google Scholar]
  40. Kearse, M.; Moir, R.; Wilson, A.; Stones-Havas, S.; Cheung, M.; Sturrock, S.; Buxton, S.; Cooper, A.; Markowitz, S.; Duran, C.; et al. Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 2012, 28, 1647–1649. [Google Scholar] [CrossRef]
  41. Edgar, R.C. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32, 1792–1797. [Google Scholar] [CrossRef] [Green Version]
  42. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef]
  43. Katoh, K.; Standley, D.M. MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol. Biol. Evol. 2013, 30, 772–780. [Google Scholar] [CrossRef] [Green Version]
  44. Brugler, M.R.; France, S.C. The mitochondrial genome of a deep-sea bamboo coral (Cnidaria, Anthozoa, Octocorallia, Isididae): Genome structure and putative origins of replication are not conserved among octocorals. J. Mol. Evol. 2008, 67, 125. [Google Scholar] [CrossRef] [PubMed]
  45. Sanchez, J.A.; McFadden, C.; France, S.; Lasker, H. Molecular Phylogenetic analyses of shallow-water Caribbean octocorals. Mar. Biol. 2003, 142, 975–987. [Google Scholar] [CrossRef]
  46. Pante, E.; France, S.C.; Couloux, A.; Cruaud, C.; McFadden, C.S.; Samadi, S.; Watling, L. Deep-sea origin and in-situ diversification of chrysogorgiid octocorals. PLoS ONE 2012, 7, e38357. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. McFadden, C.S.; Tullis, I.D.; Breton Hutchinson, M.; Winner, K.; Sohm, J.A. Variation in Coding (NADH Dehydrogenase Subunits 2, 3, and 6) and Noncoding Intergenic Spacer Regions of the Mitochondrial Genome in Octocorallia (Cnidaria: Anthozoa). Mar. Biotechnol. 2004, 6, 516–526. [Google Scholar] [CrossRef] [PubMed]
  48. Easton, E.E.; Hicks, D. 161 Primers for PCR-Amplification of Octocorallia Mitochondrial Genome Fragments. Available online: https://figshare.com/articles/dataset/161_primers_for_PCR-amplification_of_Octocorallia_mitochondrial_genome_fragments/19617519 (accessed on 3 May 2022).
  49. Clement, M.; Posada, D.; Crandall, K.A. TCS: A computer program to estimate gene genealogies. Mol. Ecol. 2000, 9, 1657–1659. [Google Scholar] [CrossRef] [Green Version]
  50. Templeton, A.R.; Crandall, K.A.; Sing, C.F. A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping and DNA sequence data. III. Cladogram estimation. Genetics 1992, 132, 619–633. [Google Scholar] [CrossRef]
  51. Nguyen, L.T.; Schmidt, H.A.; Von Haeseler, A.; Minh, B.Q. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 2015, 32, 268–274. [Google Scholar] [CrossRef]
  52. Lanfear, R.; Calcott, B.; Ho, S.Y.W.; Guindon, S. PartitionFinder: Combined selection of partitioning schemes and substitution models for phylogenetic analyses. Mol. Biol. Evol. 2012, 29, 1695–1701. [Google Scholar] [CrossRef] [Green Version]
  53. Felsenstein, J. Confidence Limits on Phylogenies: An Approach Using the Bootstrap. Evolution 1985, 39, 783. [Google Scholar] [CrossRef]
  54. Saucier, E.H.; France, S.C.; Watling, L. Toward a revision of the bamboo corals: Part 3, deconstructing the Family Isididae. Zootaxa 2021, 5047, 247–272. [Google Scholar] [CrossRef]
  55. Hebert, P.D.N.; Ratnasingham, S.; DeWaard, J.R. Barcoding animal life: Cytochrome c oxidase subunit 1 divergences among closely related species. Proc. R. Soc. B Biol. Sci. 2003, 270, S96–S99. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Pons, J.; Barraclough, T.G.; Gomez-Zurita, J.; Cardoso, A.; Duran, D.P.; Hazell, S.; Kamoun, S.; Sumlin, W.D.; Vogler, A.P. Sequence-based species delimitation for the DNA taxonomy of undescribed insects. Syst. Biol. 2006, 55, 595–609. [Google Scholar] [CrossRef] [Green Version]
  57. Reid, N.M.; Carstens, B.C. Phylogenetic estimation error can decrease the accuracy of species delimitation: A Bayesian implementation of the general mixed Yule-coalescent model. BMC Evol. Biol. 2012, 12, 196. [Google Scholar] [CrossRef] [Green Version]
  58. Zhang, J.; Kapli, P.; Pavlidis, P.; Stamatakis, A. A general species delimitation method with applications to phylogenetic placements. Bioinformatics 2013, 29, 2869–2876. [Google Scholar] [CrossRef] [Green Version]
  59. Bouckaert, R.; Heled, J.; Kühnert, D.; Vaughan, T.; Wu, C.H.; Xie, D.; Suchard, M.A.; Rambaut, A.; Drummond, A.J. BEAST 2: A Software Platform for Bayesian Evolutionary Analysis. PLoS Comput. Biol. 2014, 10, e1003537. [Google Scholar] [CrossRef] [Green Version]
  60. Douglas, J.; Zhang, R.; Bouckaert, R. Adaptive dating and fast proposals: Revisiting the phylogenetic relaxed clock model. PLoS Comput. Biol. 2021, 17, e1008322. [Google Scholar] [CrossRef]
  61. Fujisawa, T.; Ezard, T.; Barraclough, T.G. Splits: Species’ limits by threshold statistics. R Packag. Version 2013, 1, r29. [Google Scholar]
  62. Cairns, S.D.; Bayer, F.M. Studies on western Atlantic Octocorallia (Coelenterata: Anthozoa). Part 5: The genera Plumarella Gray, 1870; Acanthoprimnoa, n. gen.; and Candidella Bayer, 1954. Proc. Biol. Soc. Washingt. 2004, 117, 447–487. [Google Scholar]
  63. Cairns, S.D. Studies on western Atlantic Octocorallia (Coelenterata: Anthozoa). Part 6: The genera Primnoella Gray, 1858; Thouarella Gray, 1870; Dasystenella Versluys, 1906. Proc. Biol. Soc. Washingt. 2006, 119, 161–194. [Google Scholar] [CrossRef]
  64. Cairns, S.D. Studies on western Atlantic Octocorallia (Gorgonacea: Primnoidae). Part 8: New records of Primnoidae from the New England and Corner Rise Seamounts. Proc. Biol. Soc. Washingt. 2007, 120, 243–263. [Google Scholar] [CrossRef]
  65. Cairns, S.D.; Bayer, F.M. A review of the genus Primnoa (Octocorallia: Gorgonacea: Primnoidae), with the description of two new species. Bull. Mar. Sci. 2005, 77, 225–256. [Google Scholar]
  66. Cairns, S.D.; Taylor, M.L. An illustrated key to the species of the genus narella (Cnidaria, octocorallia, primnoidae). Zookeys 2019, 822, 1–15. [Google Scholar] [CrossRef]
  67. Taylor, M.L.; Cairns, S.D.; Agnew, D.J.; Rogers, A.D. A revision of the genus Thouarella Gray, 1870 (Octocorallia: Primnoidae), including an illustrated dichotomous key, a new species description, and comments on Plumarella Gray, 1870 and Dasystenella, Versluys, 1906. Zootaxa 2013, 3602, 1–105. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Watling, L.; France, S.C. A new genus and species of bamboo coral (Octocorallia: Isididae: Keratoisidinae) from the New England seamounts. Bull. Peabody Museum Nat. Hist. 2011, 52, 209–221. [Google Scholar] [CrossRef]
  69. Saucier, E.H.; Sajjadi, A.; France, S.C. A taxonomic review of the genus Acanella (Cnidaria: Octocorallia: Isididae) in the North Atlantic Ocean, with descriptions of two new species. Zootaxa 2017, 4323, 359–390. [Google Scholar] [CrossRef]
  70. Bayer, F.M.; Stefani, J. New and previously known taxa of isidid octocorals (Coelenterata: Gorgonacea), partly from Antarctic waters. Proc. Biol. Soc. Washingt. 1987, 100, 937–991. [Google Scholar]
  71. Hadley, A. CombineZP—Image Stacking Software. 2010. Available online: https://combinezp.software.informer.com/ (accessed on 3 May 2022).
  72. Bayer, F.M.; Grasshoff, M.; Verseveldt, J. Illustrated Trilingual Glossary of Morphological and Anatomical Terms Applied to Octocorallia; Brill Archive: Leiden, The Netherlands, 1983; ISBN 9004071393. [Google Scholar]
  73. Hogan, R.; Hopkins, K.; Wheeler, A.; Allcock, A.; Yesson, C. Novel diversity in mitochondrial genomes of deep-sea Pennatulacea (Cnidaria: Anthozoa: Octocorallia). Mitochondrial DNA Part A 2019, 30, 764–777. [Google Scholar] [CrossRef] [Green Version]
  74. Watling, L.; France, S.C. Toward a revision of the bamboo corals: Part 2, untangling the genus Lepidisis (Octocorallia: Isididae). Bull. Peabody Museum Nat. Hist. 2021, 62, 97–110. [Google Scholar] [CrossRef]
  75. Dueñas, L.; Sanchez, J.A. Character lability in deep-sea bamboo corals (Octocorallia, Isididae, Keratoisidinae). Mar. Ecol. Prog. Ser. 2009, 397, 11–23. [Google Scholar] [CrossRef] [Green Version]
  76. Grasshoff, M. Die Gorgonaria des Expeditionen von “Travailleur” 1880–1882 und “Talisman” 1883 (Cnidaria, Anthozoa). Bull. Du Muséum Natl. D’histoire Nat. Sect. A Zool. Biol. Écologie Anim. 1986, 8, 9–38. [Google Scholar]
  77. Alderslade, P.; McFadden, C.S. A new genus and species of the family Isididae (Coelenterata: Octocorallia) from a CMAR Biodiversity study, and a discussion on the subfamilial placement of some nominal isidid genera. Zootaxa 2012, 3154, 21–39. [Google Scholar] [CrossRef]
  78. Radice, V.Z.; Quattrini, A.M.; Wareham, V.E.; Edinger, E.N.; Cordes, E.E. Vertical water mass structure in the North Atlantic influences the bathymetric distribution of species in the deep-sea coral genus Paramuricea. Deep. Res. Part I Oceanogr. Res. Pap. 2016, 116, 253–263. [Google Scholar] [CrossRef]
  79. Quattrini, A.M.; Herrera, S.; Adams, J.M.; Grinyó, J.; Allcock, A.L.; Shuler, A.; Wirshing, H.H.; Cordes, E.E.; McFadden, C.S. Phylogeography of Paramuricea: The Role of Depth and Water Mass in the Evolution and Distribution of Deep-Sea Corals. Front. Mar. Sci. 2022, 9, 849402. [Google Scholar] [CrossRef]
  80. Prada, C.; Schizas, N.V.; Yoshioka, P.M. Phenotypic plasticity or speciation? A case from a clonal marine organism. BMC Evol. Biol. 2008, 8, 47. [Google Scholar] [CrossRef] [Green Version]
  81. West, J.M.; Harvell, C.D.; Walls, A.M. Morphological plasticity in a gorgonian coral (Briareum asbestinum) over a depth cline. Mar. Ecol. Prog. Ser. 1993, 94, 61–69. [Google Scholar] [CrossRef]
  82. Everett, M.V.; Park, L.K. Exploring deep-water coral communities using environmental DNA. Deep. Res. Part II Top. Stud. Oceanogr. 2018, 150, 229–241. [Google Scholar] [CrossRef]
  83. McFadden, C.S.; Brown, A.S.; Brayton, C.; Hunt, C.B.; van Ofwegen, L.P. Application of DNA barcoding in biodiversity studies of shallow-water octocorals: Molecular proxies agree with morphological estimates of species richness in Palau. Coral Reefs 2014, 33, 275–286. [Google Scholar] [CrossRef]
  84. McFadden, C.S.; Haverkort-Yeh, R.; Reynolds, A.M.; Halàsz, A.; Quattrini, A.M.; Forsman, Z.H.; Benayahu, Y.; Toonen, R.J. Species boundaries in the absence of morphological, ecological or geographical differentiation in the Red Sea octocoral genus Ovabunda (Alcyonacea: Xeniidae). Mol. Phylogenet. Evol. 2017, 112, 174–184. [Google Scholar] [CrossRef] [Green Version]
  85. Calderón, I.; Garrabou, J.; Aurelle, D. Evaluation of the utility of COI and ITS markers as tools for population genetic studies of temperate gorgonians. J. Exp. Mar. Biol. Ecol. 2006, 336, 184–197. [Google Scholar] [CrossRef]
  86. Dellicour, S.; Flot, J.F. The hitchhiker’s guide to single-locus species delimitation. Mol. Ecol. Resour. 2018, 18, 1234–1246. [Google Scholar] [CrossRef]
  87. Morris, K.J.; Tyler, P.A.; Masson, D.G.; Huvenne, V.I.A.; Rogers, A.D. Distribution of cold-water corals in the Whittard Canyon, NE Atlantic Ocean. Deep. Res. Part II Top. Stud. Oceanogr. 2013, 92, 136–144. [Google Scholar] [CrossRef] [Green Version]
  88. Roberts, J.M.; Harvey, S.M.; Lamont, P.A.; Gage, J.D.; Humphery, J.D. Seabed photography, environmental assessment and evidence for deep-water trawling on the continental margin west of the Hebrides. Hydrobiologia 2000, 441, 173–183. [Google Scholar] [CrossRef]
  89. Hughes, D.J.; Gage, J.D. Benthic metazoan biomass, community structure and bioturbation at three contrasting deep-water sites on the northwest European continental margin. Prog. Oceanogr. 2004, 63, 29–55. [Google Scholar] [CrossRef]
  90. Sayago-Gil, M.; Durán-Muñoz, P.; Javier Murillo, F.; Díaz-del-Río, V.; Serrano, A.; Miguel Fernández-Salas, L. A study of Geomorphological Features of the Seabed and the Relationship to Deep-Sea Communities on the Western Slope of Hatton Bank (Ne Atlantic Ocean). In Seafloor Geomorphology as Benthic Habitat; Harris, P.T., Baker, E.K., Eds.; Elsevier: Amsterdam, The Netherlands, 2012; pp. 751–761. ISBN 9780123851406. [Google Scholar]
  91. Durán Muñoz, P.; Murillo, F.J.; Sayago-Gil, M.; Serrano, A.; Laporta, M.; Otero, I.; Gómez, C. Effects of deep-sea bottom longlining on the Hatton Bank fish communities and benthic ecosystem, north-east Atlantic. J. Mar. Biol. Assoc. UK 2011, 91, 939–952. [Google Scholar] [CrossRef]
  92. de Neves, B.M.; Edinger, E.; Hillaire-Marcel, C.; Saucier, E.H.; France, S.C.; Treble, M.A.; Wareham, V.E. Deep-water bamboo coral forests in a muddy Arctic environment. Mar. Biodivers. 2015, 45, 867–871. [Google Scholar] [CrossRef]
  93. Altuna, Á.; Ríos, P.; De Gijón, C.O.; De Oceanografía, I.E.; Asturias, C.P. De Calcaxonian octocorals (Cnidaria: Anthozoa) from demersales, ecomarg and indemares expeditions to bathyal waters off north and northwest Spain (northeast Atlantic). In Proceedings of the XVIII Iberian Symposium of Marine Biology Studies, Donostia-San Sebastián, Spain, 11–14 September 2012; p. 33212. [Google Scholar]
  94. Lapointe, A.; Watling, L.; Gontz, A.M. Deep-sea benthic megafaunal communities on the New England and Corner Rise Seamounts, Northwest Atlantic Ocean. In Seafloor Geomorphology as Benthic Habitat; Harris, P.T., Baker, E., Eds.; Elsevier: Amsterdam, The Netherlands, 2020; pp. 917–932. ISBN 978-0-12-814960-7. [Google Scholar]
  95. Lapointe, A.E.; Watling, L.; France, S.C.; Auster, P.J. Megabenthic assemblages in the lower bathyal (700–3000 m) on the New England and Corner Rise Seamounts, Northwest Atlantic. Deep. Res. Part I Oceanogr. Res. Pap. 2020, 165, 103366. [Google Scholar] [CrossRef]
  96. Cairns, S.D. The marine fauna of New Zealand: New zealand primnoidae (anthozoa: Alcyonacea) part 1. genera narella, narelloides, metanarella, calyptrophora, and helicoprimnoa. NIWA Biodivers. Mem. 2012, 126, 5–72. [Google Scholar]
  97. Stephens, J. Alcyonarian and Madreporarian Corals of the Irish Coasts; HM Stationery Office: London, UK, 1909. [Google Scholar]
  98. Bo, M.; Coppari, M.; Betti, F.; Massa, F.; Gay, G.; Cattaneo-Vietti, R.; Bavestrello, G. Unveiling the deep biodiversity of the Janua Seamount (Ligurian Sea): First Mediterranean sighting of the rare Atlantic bamboo coral Chelidonisis aurantiaca Studer, 1890. Deep. Res. Part I Oceanogr. Res. Pap. 2020, 156, 103186. [Google Scholar] [CrossRef]
Figure 1. Locations of ROV dives that collected octocorals from 2017 (green circles) and 2018 (yellow circles). Bathymetry from INFOMAR and Ross et al. [38]. Visualized in ArcGIS Pro [39].
Figure 1. Locations of ROV dives that collected octocorals from 2017 (green circles) and 2018 (yellow circles). Bathymetry from INFOMAR and Ross et al. [38]. Visualized in ArcGIS Pro [39].
Diversity 14 00576 g001
Figure 2. In situ photographs taken by ROV Holland I representing the gross morphology of (a) Haplotype 1 (M7), (b) Haplotype 1 (M8), (c) Haplotype 2 (M9), (d) Haplotype 3 (M12), (e) Haplotype 4 (M10), (f) Haplotype 5 (M13), (g) Haplotype 6 (M10), (h) Haplotype 6 (M11), (i) Haplotype 7 Eknomisis sp. (M4), (j) Haplotype 8 Eknomisis sp. (M5), (k) Haplotype 8 Eknomisis sp. (M6), (l) Haplotype 9 (M1), (m) Haplotype 10 (M3), (n) Haplotype 11 (M2)(there was no in situ image found of Haplotype 11, instead there is an image taken in the laboratory) and (o) Haplotype 12 (M15).
Figure 2. In situ photographs taken by ROV Holland I representing the gross morphology of (a) Haplotype 1 (M7), (b) Haplotype 1 (M8), (c) Haplotype 2 (M9), (d) Haplotype 3 (M12), (e) Haplotype 4 (M10), (f) Haplotype 5 (M13), (g) Haplotype 6 (M10), (h) Haplotype 6 (M11), (i) Haplotype 7 Eknomisis sp. (M4), (j) Haplotype 8 Eknomisis sp. (M5), (k) Haplotype 8 Eknomisis sp. (M6), (l) Haplotype 9 (M1), (m) Haplotype 10 (M3), (n) Haplotype 11 (M2)(there was no in situ image found of Haplotype 11, instead there is an image taken in the laboratory) and (o) Haplotype 12 (M15).
Diversity 14 00576 g002
Figure 3. In situ photographs taken by ROV Holland I representing the gross morphology of (a) Haplotype 13 (M16), (b) Haplotype 13 (M17), (c) Haplotype 13 (M18), (d) Haplotype 14 (M17), (e) Haplotype 15 (M19), (f) Haplotype 16 (M28), (g) Haplotype 16 (M29), (h) Haplotype 17 (M30), (i) Haplotype 18 (M20), (j) Haplotype 19 (M21), (k) Haplotype 19 (M22), (l) Haplotype 20 (M23), (m) Haplotype 21 Acanella arbuscula (M24), (n) Haplotype 21 A. arbuscula (M25), and (o) Haplotype 21 A. arbuscula (M26).
Figure 3. In situ photographs taken by ROV Holland I representing the gross morphology of (a) Haplotype 13 (M16), (b) Haplotype 13 (M17), (c) Haplotype 13 (M18), (d) Haplotype 14 (M17), (e) Haplotype 15 (M19), (f) Haplotype 16 (M28), (g) Haplotype 16 (M29), (h) Haplotype 17 (M30), (i) Haplotype 18 (M20), (j) Haplotype 19 (M21), (k) Haplotype 19 (M22), (l) Haplotype 20 (M23), (m) Haplotype 21 Acanella arbuscula (M24), (n) Haplotype 21 A. arbuscula (M25), and (o) Haplotype 21 A. arbuscula (M26).
Diversity 14 00576 g003
Figure 4. In situ photographs taken by ROV Holland I representing the gross morphology of (a) Haplotype 22 Acanella sp. (M27), (b) Haplotype 23 (M14), (c) Haplotype 24 Chelidonisis aurantiaca (M44), (d) Haplotype 25 Chrysogorgia s.l. Group 7 (M37), (e) Haplotype 26 Chrysogorgia s.l. Group 7 (M38), (f) Haplotype 27 Chrysogorgia s.l. Group 3 (M39), (g) Haplotype 27 Chrysogorgia s.l. Group 3 (M40), (h) Haplotype 27 Chrysogorgia s.l. Group 3 (M41), (i) Haplotype 28 Dasygorgia (M42), (j) Haplotype 29 Chrysogorgia s.l. Group 1 (M43), (k) Haplotype 30 Narella bellissima (M32), (l) Haplotype 31 Candidella imbricata (M34), (m) Haplotype 32 Narella versluysi (M33), (n) Haplotype 33 Primnoa sp. (M31) and (o) Haplotype 34 Primnoa sp. (M31).
Figure 4. In situ photographs taken by ROV Holland I representing the gross morphology of (a) Haplotype 22 Acanella sp. (M27), (b) Haplotype 23 (M14), (c) Haplotype 24 Chelidonisis aurantiaca (M44), (d) Haplotype 25 Chrysogorgia s.l. Group 7 (M37), (e) Haplotype 26 Chrysogorgia s.l. Group 7 (M38), (f) Haplotype 27 Chrysogorgia s.l. Group 3 (M39), (g) Haplotype 27 Chrysogorgia s.l. Group 3 (M40), (h) Haplotype 27 Chrysogorgia s.l. Group 3 (M41), (i) Haplotype 28 Dasygorgia (M42), (j) Haplotype 29 Chrysogorgia s.l. Group 1 (M43), (k) Haplotype 30 Narella bellissima (M32), (l) Haplotype 31 Candidella imbricata (M34), (m) Haplotype 32 Narella versluysi (M33), (n) Haplotype 33 Primnoa sp. (M31) and (o) Haplotype 34 Primnoa sp. (M31).
Diversity 14 00576 g004
Figure 5. In situ photographs taken by ROV Holland I representing the gross morphology of (a) Haplotype 35 Primnoa sp. (M31), (b) Haplotype 36 Primnoa sp. (M31), (c) Haplotype 37 Thouarella grasshoffi (M35), and (d) Haplotype 38 Calyptrophora clinata (M36).
Figure 5. In situ photographs taken by ROV Holland I representing the gross morphology of (a) Haplotype 35 Primnoa sp. (M31), (b) Haplotype 36 Primnoa sp. (M31), (c) Haplotype 37 Thouarella grasshoffi (M35), and (d) Haplotype 38 Calyptrophora clinata (M36).
Diversity 14 00576 g005
Figure 6. Maximum likelihood tree of all recovered haplotypes (H) and corresponding morphotypes (M) from the 3390 base pair alignment and the corresponding species delimitation results from GMYC and mPTP methods (ST = single threshold and MT = multiple threshold). Each box within each column refers to a unique species recovered by that method. 1. Family Keratoisididae. A1, B1, C1, D1, D2, F1, I1, and J3 refer to the keratoisidid subclades defined by Watling et al. [16], 2. Family Primnoidae, and 3. Family Chrysogorgiidae. * represent bootstrap values 90–99. ● represents bootstrap values between 71–89. Nodes with support lower than 70 have been collapsed and bootstrap values not displayed.
Figure 6. Maximum likelihood tree of all recovered haplotypes (H) and corresponding morphotypes (M) from the 3390 base pair alignment and the corresponding species delimitation results from GMYC and mPTP methods (ST = single threshold and MT = multiple threshold). Each box within each column refers to a unique species recovered by that method. 1. Family Keratoisididae. A1, B1, C1, D1, D2, F1, I1, and J3 refer to the keratoisidid subclades defined by Watling et al. [16], 2. Family Primnoidae, and 3. Family Chrysogorgiidae. * represent bootstrap values 90–99. ● represents bootstrap values between 71–89. Nodes with support lower than 70 have been collapsed and bootstrap values not displayed.
Diversity 14 00576 g006
Table 2. GenBank Accession numbers for gene fragments sequences for every morphotype.
Table 2. GenBank Accession numbers for gene fragments sequences for every morphotype.
Specimen VoucherUSNM NumberSpecimen IDHaplotype/MorphotypemtMutSCOI + igr116s rRNA-ND2igr4
CE-17-2661593468Keratoisididae D1 sp.1/7ON971007ON971056ON971105ON971154
CE-18-6461593473Keratoisididae D1 sp.1/8ON971008ON971057ON971106ON971155
CE-18-5081593474Keratoisididae D1 sp.2/9ON971009ON971058ON971107ON971156
CE-17-2691593475Keratoisididae B1 sp.3/12ON971010ON971059ON971108ON971157
CE-17-1741593476Keratoisididae B1 sp.4/10ON971011ON971060ON971109ON971158
CE-17-2061593477Keratoisididae B1 sp.5/13ON971012ON971061ON971110ON971159
CE-17-1461593481Keratoisididae B1 sp.6/10ON971013ON971062ON971111ON971160
CE-17-4241593483Keratoisididae B1 sp.6/11ON971014ON971063ON971112ON971161
CE-17-2011593489Eknomisis sp.7/4ON971015ON971064ON971113ON971162
CE-18-1291593490Eknomisis sp.8/5ON971016ON971065ON971114ON971163
CE-18-3871593492Eknomisis sp.8/6ON971017ON971066ON971115ON971164
CE-18-2881593493Keratoisididae D2 sp.9/1ON971018ON971067ON971116ON971165
CE-17-2221593498Keratoisididae D2 sp.10/3ON971019ON971068ON971117ON971166
CE-18-0391593495Keratoisididae D2 sp.11/2ON971020ON971069ON971118ON971167
CE-18-2031593497Keratoisididae I1 sp.12/15ON971021ON971070ON971119ON971168
CE-17-2341593498Keratoisididae I1 sp.13/16ON971022ON971071ON971120ON971169
CE-18-0631593499Keratoisididae I1 sp.13/17ON971023ON971072ON971121ON971170
CE-18-4151593500Keratoisididae I1 sp.13/18ON971024ON971073ON971122ON971171
CE-18-1101593503Keratoisididae I1 sp.14/17ON971025ON971074ON971123ON971172
CE-17-1251593509Keratoisididae I1 sp.15/19ON971026ON971075ON971124ON971173
CE-17-2871593512Keratoisididae C1 sp.16/28ON971027ON971076ON971125ON971174
CE-18-2421593514Keratoisididae C1 sp.16/29ON971028ON971077ON971126ON971175
CE-17-3561593516Keratoisididae C1 sp.17/30ON971029ON971078ON971127ON971176
CE-17-2761593517Keratoisididae J3 sp.18/20ON971030ON971079ON971128ON971177
CE-17-2741593518Keratoisididae J3 sp.19/21ON971031ON971080ON971129ON971178
CE-18-5381593524Keratoisididae J3 sp.19/22ON971032ON971081ON971130ON971179
CE-17-3671593526Keratoisididae J3 sp.20/23ON971033ON971082ON971131ON971180
CE-17-3041593531Acanella arbuscula21/24ON971034ON971083ON971132ON971181
CE-17-3571593535Acanella arbuscula21/25ON971035ON971084ON971133ON971182
CE-17-4251593532Acanella arbuscula21/26ON971036ON971085ON971134ON971183
CE-18-3391593536Acanella sp.22/27ON971037ON971086ON971135ON971184
CE-17-2161593537Keratoisididae F1 sp.23/14ON971038ON971087ON971136ON971185
CE-17-1811593580Chelidonisis aurantiaca24/44ON971039ON971088ON971137ON971186
CE-17-3641593538Chrysogorgia Group 7 sp.25/37ON971040ON971089ON971138ON971187
CE-17-2711593539Chrysogorgia Group 7 sp.26/38ON971041ON971090ON971139ON971188
CE-17-1291593543Chrysogorgia Group 3 sp.27/39ON971042ON971091ON971140ON971189
CE-17-2831593545Chrysogorgia Group 3 sp.27/40ON971043ON971092ON971141ON971190
CE-18-2921593548Chrysogorgia Group 3 sp.27/41ON971044ON971093ON971142ON971191
CE-18-4181593551Dasygorgia sp.28/42ON971045ON971094ON971143ON971192
CE-18-2371593554Chrysogorgia Group 1 sp.29/43ON971046ON971095ON971144ON971193
CE-18-4341593558Narella bellissima30/32ON971047ON971096ON971145ON971194
CE-17-2901593559Candidella imbricata31/34ON971048ON971097ON971146ON971195
CE-18-3211593564Narella versluysi32/33ON971049ON971098ON971147ON971196
CE-17-0951593566Primnoa sp.33/31ON971050ON971099ON971148ON971197
CE-17-1601593567Primnoa sp.34/31ON971051ON971100ON971149ON971198
CE-17-0821593568Primnoa sp.35/31ON971052ON971101ON971150ON971199
CE-17-1011593572Primnoa sp.36/31ON971053ON971102ON971151ON971200
CE-18-2611593574Thouarella grasshoffi37/35ON971054ON971103ON971152ON971201
CE-18-5681593579Calyptrophora clinata38/36ON971055ON971104ON971153ON971202
Table 3. Key morphological characteristics of the Keratoisididae morphotypes.
Table 3. Key morphological characteristics of the Keratoisididae morphotypes.
Morphotype (Haplotype, Figures)DesignationColony ShapeBranchingPolyp MorphologyCoenenchymeTentaclesPolyp Body ScleritesTentacle ScleritesPharynx ScleritesCoenenchyme Sclerites
1 (9; Figure 2l and Figure S1)Keratoisididae D2 sp.PlanarSparse dichotomous, internodalCylindrical. Originate from all sides of coenenchymeThick. Cream to pinkIn the oral areaNeedles arranged longitudinallyBlunt ended rods NeedlesThorned rodletsNeedles
2 (11, Figure 2n and Figure S2)Keratoisididae D2 sp.UnknownUnknownOrangeUnknownFolded over mouthRods arranged obliquely and longitudinallyBlunt ended rods and flattened rodsUnknownRods
3 (10, Figure 2m and Figure S3)Keratoisididae D2 sp.ArborescentFrequent dichotomous, internodalCylindrical. Orange to pink. Originate on all sides of coenenchymeThickIn the oral areaNeedles and rods arranged longitudinallyBlunt ended rods and flattened rodsThorned rodletsNeedles and rods
4 (7, Figure 2i and Figure S4)Eknomisis sp.ArborescentSparse dichotomous, internodalDistally tapered. Pink Originate in two planes?ThinIn the oral areaRods arranged obliquelyBlunt ended rods and flattened rodsThorned rodletsRods
5 (8, Figure 2j and Figure S5)Eknomisis sp.ArborescentSparse dichotomous, internodalDistally tapered. Pink Originate on all sides of coenenchymeThinIn the oral areaNeedles and rods arranged obliquelyBlunt ended rods and flattened rodsThorned rodletsRods
6 (8, Figure 2k and Figure S6)Eknomisis sp.ArborescentSparse dichotomous, internodalBarrel shaped.ThinFolded over mouthNeedles and rods arranged obliquelyBlunt ended rods and flattened rodsThorned rodletsNeedles and rods
7 (1, Figure 2a and Figure S7)Keratoisididae D1 sp.PlanarFrequent dichotomous, internodalPink to orange. Cylindrical.ThickIn the oral areaNeedles and rods arranged obliquely and longitudinallyBlunt ended rods and flattened rodsThorned rodletsUnknown
8 (1, Figure 2b and Figure S8)Keratoisididae D1 sp.ArborescentSparse dichotomous, internodalPink to orange. Cylindrical. Originate on all sides of coenenchymeThickIn the oral areaNeedles and rods arranged obliquelyBlunt ended rods and flattened rodsThorned rodletsUnknown
9 (2, Figure 2c and Figure S9)Keratoisididae D1 sp.PlanarSparse dichotomous, internodalPink to orange. Cylindrical. Originate on all sides of coenenchymeThinIn the oral areaNeedles and rods arranged obliquelyBlunt ended rods and flattened rodsThorned rodletsUnknown
10 (4, Figure 2e and Figure S10)Keratoisididae B1 sp.Whip or planarBranched and unbranched formsTrumpet shape. Originate on all sides of coenenchymeThickFolded over mouthNeedles and scales arranged obliquely and longitudinallyFlattened rodsThorned rodletsNeedles and scales
10 (6, Figure 2g and Figure S11)Keratoisididae B1 sp.Whip or planarBranched and unbranched formsTrumpet shaped. Originate on all sides of coenenchymeThickFolded over mouthNeedles and scales arranged obliquely and longitudinallyElongated, narrow flattened rodsThorned rodletsNeedles and scales
11 (6, Figure 2h and Figure S12)Keratoisididae B1 sp.Whip or planarBranched and unbranched formsBarrel shaped. Originate on all sides of coenenchymeThickFolded over mouthNeedles and scales arranged obliquely and longitudinallyFlattened rodsThorned rodletsUnknown
12 (3, Figure 2d and Figure S13)Keratoisididae B1 sp.WhipUnbranchedBarrel shaped. Originate on all sides of coenenchymeThickFolded over mouthNeedles and scales arranged obliquely and longitudinallyFlattened rodsThorned rodletsUnknown
13 (5, Figure 2f and Figure S14)Keratoisididae B1 sp.WhipUnbranchedHourglass. Originate on all sides of coenenchymeThickFolded over mouthNeedles and scales arranged obliquely and longitudinallyFlattened rodsThorned rodletsNeedles and scales
14 (23, Figure 4b and Figure S15)Keratoisididae F1 sp.WhipUnbranchedTall, narrow. Originate on all sides of coenenchymeThinFolded over mouthNeedles and rodsBlunt ended rods and flattened rodsElongated, thorned rodletsNeedles
15 (12, Figure 2o and Figure S16)Keratoisididae I1 sp.ArborescentSparse dichotomousEither barrel shaped, or L-shaped. Originate on all sides of coenenchymeThinLoosely gathered over mouthSclerites scarce. Needles occurring in distal end.Flattened rodsThorny starUnknown
16 (13, Figure 3a and Figure S17)Keratoisididae I1 sp.Sparse bushDi– and trichotomous, nodalPolyps slightly flare distally. Funnel shapedThinLoosely gathered over mouthSclerites scarce. Needles occurring in distal end.Flattened rodsThorny starUnknown
17 (13, Figure 3b and Figure S18)Keratoisididae I1 sp.BushDi– and trichotomous, nodalPolyps slightly flare distally. Funnel shapedThinLoosely gathered over mouthNeedles arranged longitudinallyFlattened rodsThorny starNeedles
17 (14, Figure 3d and Figure S19)Keratoisididae I1 sp.BushDi– and trichotomous, nodalPolyps slightly flare distally. Funnel shapedThinLoosely gathered over mouthNeedles and rods arranged longitudinallyFlattened rodsUnknownNeedles
18 (13, Figure 3c and Figure S20)Keratoisididae I1 sp.ArborescentDi– and trichotomous, nodalFunnel shapedThinLoosely gathered over mouthRods arranged obliquelyFlattened rodsThorny starRods
19 (15, Figure 3e and Figure S21)Keratoisididae I1 sp.WhipUnbranchedFunnel/cylindrical shapedThinLoosely gathered over mouthNeedles and rods arranged obliquely and longitudinallyFlattened rodsThorny starNeedles and rods
20 (18, Figure 3i and Figure S22)Keratoisididae J3 sp.PlanarBranchedUnknownUnknownUnknownUnknownUnknownUnknownUnknown
21 (19, Figure 3j and Figure S23)Keratoisididae J3 sp.PlanarBranchedTrumpet shaped, originating from all sides of the coenenchymeThickFolded over mouthSpindles and rods arranged longitudinallyFlattened rodsFlattened rodsSpindles and Needles
22 (19, Figure 3k and Figure S24)Keratoisididae J3 sp.PlanarDi– and trichotomous, nodalTaper distally, originating from all sides of the coenenchymeThinIn the oral areaRods arranged obliquely and longitudinallyFlattened rodsFlattened rodsRods
23 (20, Figure 3l and Figure S25)Keratoisididae J3 sp.PlanarDichotomous, nodalBarrel shaped. originating from all sides of the coenenchymeThickFolded over mouthNeedles and rods arranged longitudinallyFlattened rodsSparsely toothed rodsRods, flattened rods
24 (21, Figure 3m and Figure S26)Acanella arbusculaLoose bushSparse di– and trichotomous, nodalFunnel shapedThinFolded over mouthRods arranged obliquelyRods and flattened rodsElongated thorny rodsRods
25 (21, Figure 3n and Figure S27)Acanella arbusculaTight bushNodalSlender, same width throughoutThinFolded over mouthNeedles arranged obliquelyRods and flattened rodsRodRods
26 (21, Figure 3o and Figure S28)Acanella arbusculaFunnel shaped bushSparse di– and trichotomous, nodalBarrel shapedThin, thickening distallyFolded over mouthNeedles arranged obliquelyRods and flattened rodsElongated thorny rodsRods
27 (22, Figure 4a and Figure S29)Acanella sp.Fan/bushdichotomous, nodalBarrelThin, thickening distallyContracted over mouthRods and needles arranged obliquelyRods and flattened rodsElongated thorny rodsNeedles and rods
28 (16, Figure 3f and Figure S30)Keratoisididae C1 sp.WhipUnbranchedBarrel shaped, originate on all sidesThickFolded over mouthSparse, needles, arranged obliquely and longitudinallyFlattened rodsElongated diamond rodsUnknown
29 (16, Figure 3g and Figure S31)Keratoisididae C1 sp.WhipUnbranchedBarrel shaped, originate on all sidesThickFolded over mouthSparse, needles, arranged obliquely and longitudinallyFlattened rodsElongated diamond rodsNeedles and elongated rods
30 (17, Figure 3h and Figure S32)Keratoisididae C1 sp.WhipUnbranchedBarrel shaped, originate on all sidesThickFolded over mouthSparse, needles, arranged obliquelyFlattened rodsElongated diamond rodsRods and flattened rods
Table 4. Upper and lower bounds of the potential number of species per family. See Section 3.5 for the justification and reasoning for each estimate.
Table 4. Upper and lower bounds of the potential number of species per family. See Section 3.5 for the justification and reasoning for each estimate.
FamilyLower Bound of Species EstimateUpper Bound of Species Estimate
Keratoisididae1427
Primnoidae67
Chrysogorgiidae45
Chelidonisididae11
Total2540
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Morrissey, D.; Untiedt, C.B.; Croke, K.; Robinson, A.; Turley, E.; Allcock, A.L. The Biodiversity of Calcaxonian Octocorals from the Irish Continental Slope Inferred from Multilocus Mitochondrial Barcoding. Diversity 2022, 14, 576. https://doi.org/10.3390/d14070576

AMA Style

Morrissey D, Untiedt CB, Croke K, Robinson A, Turley E, Allcock AL. The Biodiversity of Calcaxonian Octocorals from the Irish Continental Slope Inferred from Multilocus Mitochondrial Barcoding. Diversity. 2022; 14(7):576. https://doi.org/10.3390/d14070576

Chicago/Turabian Style

Morrissey, Declan, Candice B. Untiedt, Karen Croke, Aisling Robinson, Eva Turley, and A. Louise Allcock. 2022. "The Biodiversity of Calcaxonian Octocorals from the Irish Continental Slope Inferred from Multilocus Mitochondrial Barcoding" Diversity 14, no. 7: 576. https://doi.org/10.3390/d14070576

APA Style

Morrissey, D., Untiedt, C. B., Croke, K., Robinson, A., Turley, E., & Allcock, A. L. (2022). The Biodiversity of Calcaxonian Octocorals from the Irish Continental Slope Inferred from Multilocus Mitochondrial Barcoding. Diversity, 14(7), 576. https://doi.org/10.3390/d14070576

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop