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Research Article
Genomic investigation of benthic invertebrates from the Clarion-Clipperton fields of polymetallic nodules
expand article infoRomain Gastineau, Kamila Mianowicz§, Przemysław Dąbek, Christian Otis|, Valcana Stoyanova§, Artur Krawcewicz§, Tomasz Abramowski
‡ University of Szczecin, Szczecin, Poland
§ Interoceanmetal Joint Organization, Szczecin, Poland
| Université Laval, Québec, Canada
¶ Maritime University of Szczecin, Szczecin, Poland
Open Access

Abstract

The abyssal plains of the Clarion-Clipperton Zone (CCZ) are famous for their fields of polymetallic nodules, which are inhabited by benthic invertebrates. Ten specimens from the Interoceanmetal Joint Organisation (IOM) licence area in the CCZ were collected in 2014 and submitted to a short-read genome skimming sequencing. In total, mitochondrial genomes and nuclear ribosomal genes were retrieved for nine different organisms belonging to Ophiuroidea, Holothuroidea, Polychaeta, Bryozoa, Porifera, and Brachiopoda (assigned to these phyla immediately upon retrieval from the seafloor). As many of these samples were partial and physically deteriorated following their seven-year storage in IOM’s collections, their morphology-based taxonomic identification could rarely be performed at the lowest possible level (species or genus) prior to preparing the samples for molecular or genomic investigations. Therefore, it was not possible to apply the reverse identification scheme recommended for such investigations. However, several of these specimens represent poorly studied groups for which few molecular references are available as of now. In two cases, the presence of introns in the mitochondrial genome questions the practicability of using the cox1 gene for further routine molecular barcoding of these organisms. These results might be useful in future DNA primers design, molecular barcoding, and phylogeny or population genetic studies when more samples are obtained.

Key words:

Brachiopoda, Bryozoa, genome-skimming, Holothuroidea, introns, Mitochondrial genomes, Ophiuroidea, Polychaeta, Porifera, ribosomal RNA genes

Introduction

Located in the Pacific Ocean, the Clarion-Clipperton Zone (CCZ) spans 4.5 million km2 between Hawaii and Mexico. The abyssal plain of this area has recently become a focus of attention due to the massive presence of polymetallic nodule deposits on its floor, which hold potential for exploitation. Far from being a lifeless environment, the floor of the CCZ is inhabited by benthic fauna (Rabone et al. 2023), mostly composed of invertebrates (e.g., Amon et al. 2016; Christodoulou et al. 2019) and large benthic foraminifera (e.g., Stachowska-Kamiǹska et al. 2022; Gooday and Wawrzyniak-Wydrowska 2023). Although the scale of environmental impacts of nodule exploitation activity (deep-sea mining) is yet to be fully understood, the retrieval of the resource from the seafloor is likely to affect benthic fauna, especially the sessile species which live attached to the nodules.

Environmental considerations have led the International Seabed Authority (ISA) to issue a certain number of recommendations in order to assess benthic biodiversity in the licence areas as part of the baseline studies. Environmental baseline studies are conducted by ISA contractors holding exploration licences with the aim to describe this benthic environment. The findings of the studies will constitute a basis (the baseline) against which exploitation impacts will be assessed, and are to be incorporated into an informed decision-making process by both ISA (e.g., while preparing standards and guidelines and defining environmental thresholds) and contractors (e.g., while preparing environmental management and monitoring plans).

Barcoding and more generally genetic studies are some of the tools used to identify and/or support taxonomic identification of fauna – in particular, key and representative species that could be used as indicator for assessing impacts – collected during exploration activities (ISBA/25/LTC/6/Rev.3 2023). This taxonomic work is of primary importance in species cataloguing and biodiversity assessment. In addition, molecular studies help to unravel the ecological functions and connectivity of species or assemblages (Danovaro et al. 2017). Although reverse taxonomy is advocated (ISBA/25/LTC/6/Rev.3 2023), this approach is not always possible when revisiting legacy data and specimen collections, as in the case in this article. Fully aware of the limitations resulting from the lack of proper morphology-based taxonomic identification of specimens retrieved from the IOM licence area in 2014, we nevertheless decided to try a genome-skimming approach on these samples.

IOM conducts exploration activities in the area located in the eastern part of the CCZ under the contract signed with ISA in 2001. Recently, IOM has developed its own protocol for the molecular study of the CCZ benthic fauna (Gastineau et al. 2023). This protocol emphasizes the use of the genome-skimming approach based on short-read sequencing whenever possible, with the aim of obtaining the largest amount of data possible within a single sequencing. In the best-case scenario, the outcome could be a complete cluster of nuclear rRNA genes and/or a complete mitochondrial genome. This is exemplified by the aforementioned article on Abyssoprimnoa gemina Cairns, 2015 (Gastineau et al. 2023). This deep-sea coral was collected during the IOM cruise to the CCZ in 2014, together with the specimens described in the present article. All the specimens were documented by macrophotography immediately upon retrieval but were not taxonomically identified to the species level at that time, except in a few cases, including A. gemina. The samples had been stored in ethanol 96% for seven years before the molecular and genomic protocol was implemented. This, in addition to the fact that several of these samples were partial, resulted in many cases in their poor physical conservation, which made it impossible to perform proper morphology-based taxonomic identification. Moreover, it has to be stressed that in the case of the CCZ fauna, there are still many species that remain undescribed (Rabone et al. 2023). Even if references exist for some of these taxa, it might still be difficult to identify them at the species level, considering the scarcity of taxonomic expertise.

When applying a basic molecular barcoding protocol to the 2014 samples to amplify the 18S and cox1 genes, we faced several challenges. As much as we could generally obtain positive results for the 18S gene, we mostly failed to amplify the cox1 gene, regardless of the phyla. This was likely a consequence of the DNA primers not being sufficiently specific rather than insufficient quality or quantity of the DNA extracted. Indeed, in several cases, the amount of DNA retrieved qualified the samples for a next-generation type of sequencing as previously performed on A. gemina (Gastineau et al. 2023).

In the current article, we present the results of a genome-skimming strategy applied to ten samples from the CCZ that represent two species of Ophiuroidea, one Holothuroidea, one Polychaeta, two Bryozoa, two Porifera, and one Brachiopoda. Of these samples, only the Ophiuroidea specimens could be identified at the species level (morphological identification confirmed by molecular results). It has not been possible to identify or describe the other samples at the species level so far, but our findings still hold some potential for the scientific community involved in the exploration of the CCZ. Some of these samples may represent poorly studied phyla for which few molecular references are available. Some others have mitogenomes with complex features that could not be resolved by the usual PCR and Sanger sequencing protocol, which in some cases render the amplification of their cox1 gene impossible.

Materials and methods

Exploration, sampling, photographic documentation, and storage

All the specimens sequenced during this study were collected during the 2014 IOM cruise. Two different sampling methods were used: point (box coring) and linear (trawling) sampling. The sample names, coordinates and depths of the sampling stations are given in Table 1, while their location is shown in Fig. 1. Polymetallic nodules and their sessile or associated fauna were retrieved from the seafloor and photographed onboard the research vessel using a Nikon D700 camera equipped with an AF-S MICRO Nikkor 105 mm 1:2.8G ED lens. All the samples were then stored in 2.0 mL Eppendorf tube filled with 96% ethanol and stored at 4 °C (the cold chain protocol was applied). They were all assigned accession numbers in the collection of IOM.

Figure 1. 

Location of the sampling stations in the IOM claim area.

Table 1.

Name, coordinates and depth of the sampling stations.

Station Point / line (sampling method) Coordinates Depth
3505 point (box core) 10°53,2380'N, 119°43,9970'W 4332 m
3517 point (box core) 11°00,5100'N, 119°46,4130'W 4325 m
3526 point (box core) 11°07,5510'N, 119°47,9380'W 4241 m
3540 point (box core) 11°19,6800'N, 119°38,8230'W 4249 m
3545 point (box core) 11°22,4940'N, 119°32,9930'W 4285 m
2229Tr_2 line (trawl) From 11°13,1495'N, 119°27,8542'W to 11°13,5805'N, 119°26,9792'W 4307–4310 m
3521Tr_1 line (trawl) From 11°10,1623'N, 119°34,0946'W to 11°10,6813'N, 119°32,9836'W 4265–4291 m

DNA extraction, sequencing and bioinformatic analyses

DNA was extracted using the DNeasy Blood & Tissue extraction kit from Qiagen following the instructions of the manufacturer. All DNA samples were sent to the Beijing Genomics Institute in Shenzhen, China to be sequenced on a DNBSEQ platform for an average number of 60 million 100-bp paired-end reads per sample. The reads were assembled using SPAdes 3.15.5 (Bankevich et al. 2012) and a k-mer of 85. The sequences of interest (mitogenomes and rRNA nuclear clusters) were extracted from the contigs file by customized blastn queries (Camacho et al. 2009) using similar sequences from GenBank as reference. The boundaries of the rRNA nuclear genes were localized with Rfam 14 (Kalvari et al. 2021). Mitochondrial genomes were annotated using MITOS 2.1.9 (Donath et al. 2019) and uploaded to the OGDRAW server to obtain their maps (Lohse et al. 2013). For the sake of clarity, all the maps are presented in a circular form, including those of the mitogenomes with no redundant endings. Megablast queries of the complete 18S and cox1 genes of each specimen were performed on the NCBI blast server. The specimens were given scientific names according to the World Register of Marine Species (WoRMS). When needed, maximum likelihood molecular phylogenies were performed using IQ-TREE 2.2.0 (Minh et al. 2020) with 1000 ultrafast bootstrap replicates following selection of the best model of evolution with ModelTest-NG (Darriba et al. 2020).

Data resources

All the clean sequencing reads were deposited on SRA with accession number PRJNA1130051. All the mitochondrial genomes and the rRNA genes (complete clusters or partial) are available on GenBank with the accession numbers given in the Results section.

Results

Specimen IOM_2014_13: unidentified Demospongiae

Fig. 2.

Figure 2. 

Specimen IOM_2014_13 on a polymetallic nodule immediately after sampling (unscaled).

Station ID: 3503.

Biosample: SAMN42180853.

Cluster of nuclear rRNA genes

The cluster is complete with a total length of 6,022 bp (GenBank: PP968935). The best 18S megablast result is Polymastia pachymastia voucher UCMPWC932 (GenBank: EF654528) (Kober and Nichols 2007), E-value 0.0, identity 99.93% for a length of 1,660 bp. However, it should be noted that a 100% identity was found with the shorter reference PP848924 from Spinularia sp. voucher RC1570, for a length of 782 bp (Lim et al. 2024). After trimming the 28S part to its variable D1/D2 region, megablast query returned a 100% identity with the 782 bp sequence of Spinularia sp. voucher RC1570 (GenBank: PP848924).

Mitochondrial genome

The mitogenome was found complete with redundant endings (GenBank: PP971517). It is 20,349 bp long and encodes 14 protein coding genes, two rRNAs and 25 tRNAs (Fig. 3, Table 2). All genes are encoded on the same strand. The nucleotide composition is A (30.89%), T (36.92%), C (12.36%) and G (19.82%). The genome is colinear with those of Polymastia littoralis Stephens, 1915 (GenBank: KJ129611) (del Cerro et al. 2016). The cox1 megablast query returned a 100% identity with Radiella sarsii Ridley & Dendy, 1886 specimen voucher ZMBN:98039 (GenBank: HG423721) (Plotkin et al. 2017) for a length of 658 bp, and also with Spinularia sp. voucher RC1570 (GenBank: PP851905) for a length of 656 bp. The currently accepted name of R. sarsi is Spinularia sarsii Ridley & Dendy, 1886 (de Voogd et al. 2024).

Figure 3. 

Map of the mitochondrial genome of specimen IOM_2014_13, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle.

Table 2.

Characteristics of the genes encoded by the mitogenome of the unidentified Demospongiae IOM_2014_13.

Gene Strand Location Size (bp) Start codon Stop codon Anticodon
cox1 + 1–1563 1563 ATG TAG
tRNA-Ser + 1613–1696 84 TGA
tRNA-Asp + 1722–1793 72 GTC
tRNA-Cys + 1810–1876 67 GCA
ND1 + 1941–2951 1011 ATG TAG
tRNA-Leu + 3003–3086 84 TAA
tRNA-Ile + 3135–3207 73 GAT
tRNA-Met + 3216–3286 71 CAT
ND2 + 3324–4739 1416 ATG TAA
ND5 + 4782–6674 1893 ATG TAG
tRNA-Ala + 6690–6762 73 TGC
tRNA-Met + 6801–6872 72 CAT
tRNA-Phe + 7009–7081 73 GAA
rrnS + 7082–8486 1405
tRNA-Gly + 8487–8558 72 TCC
tRNA-Val + 8602–8674 73 TAC
rrnL + 8696–11349 2654
tRNA-Tyr + 11578–11657 80 GTA
tRNA-Met + 11701–11772 72 CAT
cox2 + 11725–12543 819 ATG TAA
tRNA-Lys + 12600–12672 73 TTT
ATP8 + 12674–12946 273 ATG TAG
ATP6 + 12940–13674 735 ATG TAA
tRNA-Arg + 13748–13821 74 TCT
cox3 + 13895–14683 789 ATG TAG
tRNA-Gln + 14743–14814 72 TTG
tRNA-Trp + 14883–14953 71 TCA
tRNA-Asn + 14984–15054 71 GTT
tRNA-Leu + 15085–15158 74 TAG
cob + 15160–16314 1155 ATG TAA
tRNA-Thr + 16377–16450 74 TGT
ATP9 + 16506–16742 237 ATG TAA
tRNA-Ser + 16828–16913 86 GCT
tRNA-Pro + 16955–17027 73 TGG
ND4 + 17090–18541 1452 ATG TAA
tRNA-His + 18576–18648 73 GTG
tRNA-Glu + 18712–18783 72 TTC
ND6 + 18781–19380 600 ATG TAA
ND3 + 19371–19778 408 ATG TAA
tRNA-Arg + 19832–19902 71 TCG
ND4L + 19903–20202 300 ATG TAG

Specimen IOM_2014_15: unidentified Bryozoa

Fig. 4.

Figure 4. 

Specimen IOM_2014_15 on a polymetallic nodule immediately after sampling (unscaled).

Station ID: 3517.

Biosample: SAMN42180854.

Cluster of nuclear rRNA genes

The cluster is complete with a total length of 6,768 bp (GenBank: PP968936). The best 18S megablast result is Tubulipora lobifera Hastings, 1963 (GenBank: JN680934) (Waeschenbach et al. 2012), E-value 0.0, identity 96.96% for a length of 1,812 bp.

Mitochondrial genome

The mitogenome has no redundant endings but seems to contain all conserved genes (GenBank: PP990757). For easier reading, it is represented as circular. It is 20,867 bp long and encodes 12 protein coding genes, two rRNAs and 19 tRNAs, encoded on both strands (Fig. 5, Table 3). The nucleotide composition is A (38.54%), T (39.94%), C (11.53%) and G (9.98%). No ATP8 could be found. There are two large non-coding regions between tRNA-Lys and ATP6 and between tRNA-Pro and cox1. The best cox1 megablast result is Tubulipora flabellaris (O. Fabricius, 1780) (GenBank: NC_015646) (Sun et al. 2011), E-value 0.0, identity 80.12%. This reference sequence is also a mitochondrial genome that is not colinear with those of specimen 2014_15.

Figure 5. 

Map of the mitochondrial genome of specimen IOM_2014_15, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle.

Table 3.

Characteristics of the genes encoded by the mitogenome of the unidentified Bryozoa IOM_2014_15.

Gene Strand Location Size (bp) Start codon Stop codon Anticodon
tRNA-Pro - 2198..2267 70 TGG
tRNA-Lys - 2615..2674 60 TTT
rrnL - 2676..3810 1135
tRNA-Leu - 3796..3852 57 TAA
tRNA-Asn - 4240..4298 59 GTT
tRNA-Lys - 4404..4463 60 TTT
ATP6 - 6981..7520 540 ATA TAA
tRNA-Gln - 7558..7627 70 TTG
rrnS - 7636..8380 745
ND2 - 8438..9337 900 ATG TAA
ND3 - 9347..9622 276 ATG TAA
tRNA-Arg - 9654..9712 59 TCG
tRNA-His + 9942..9998 57 GTG
ND5 + 9998..11497 1500 ATG TAG
tRNA-Ser + 11499..11548 53 TCT
tRNA-Phe + 11548..11604 57 GAA
tRNA-Asp - 11742..11798 57 GTC
cox2 - 11797..12465 669 ATG TAA
tRNA-Glu - 12466..12525 60 TTC
ND6 + 12527..12985 459 ATG TAA
ND4L + 13013..13249 237 ATG TAA
tRNA-Ser + 13248..13303 56 TGA
cob - 13302..14396 1095 ATG TAA
tRNA-Met + 14432..14492 61 CAT
tRNA-Tyr - 14495..14565 71 GTA
ND1 + 14617..15477 861 ATG TAA
tRNA-Trp + 15478..15537 60 TCA
cox3 + 15591..16358 768 ATG TAA
tRNA-Ala + 16364..16419 56 TGC
ND4 + 16420..17631 1212 ATG TAA
tRNA-Cys + 17646..17704 59 GCA
cox1 + 17707..19242 1536 ATG TAA

Specimen IOM_2014_17: unidentified Polychaeta

Fig. 6.

Figure 6. 

Specimen IOM_2014_17 on a polymetallic nodule immediately after sampling (unscaled).

Station ID: 3517.

Biosample: SAMN42180855.

Cluster of nuclear rRNA genes

The cluster is complete with a total length of 6,365 bp (GenBank: PP970526). The best 18S megablast result is Nicomache lumbricalis Fabricius, 1780 isolate SPM24 (GenBank: MG975479) (Eilertsen et al. 2018), E-value 0.0, identity 99.87% for a length of 1,552 bp.

Mitochondrial genome

The mitogenome is complete with redundant endings (GenBank: PP990759). It is 16,265 bp long and encodes 13 protein coding genes, two rRNAs and 22 tRNAs, all on the same strand (Fig. 7, Table 4). The nucleotide composition is A (30.70%), T (32.66%), C (22.98%) and G (13.66%). The best cox1 megablast result is Nicomache cf. benthaliana NHM_058 (GenBank: OQ271976), which is also found in the CCZ (Stewart et al. 2023), with E-value 0.0, identity 99.28% for a length of 554 bp.

Figure 7. 

Map of the mitochondrial genome of specimen IOM_2014_17, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle.

Table 4.

Characteristics of the genes encoded by the mitogenome of the unidentified Polychaeta IOM_2014_17. T(AA) in the stop codon column indicates a premature termination with the addition of 3’ A residues to the mRNA.

Gene Strand Location Size (bp) Start codon Stop codon Anticodon
cox1 + 1–1537 1537 ATG T(AA)
tRNA-Asn + 1538–1599 62 GTT
cox2 + 1600–2284 685 ATG TAA
tRNA-Asp + 2285–2348 64 GTC
atp8 + 2350–2512 163 ATG TAA
tRNA-Tyr + 2513–2577 65 GTA
tRNA-Gly + 2577–2641 65 TCC
cox3 + 2642–3421 780 ATG TAG
tRNA-Gln + 3422–3489 68 TTG
ND6 + 3490–3966 477 ATG TAA
cob + 3980–5119 1140 ATG TAA
tRNA-Trp + 5123–5190 68 TCA
ATP6 + 5191–5890 700 ATG T(AA)
tRNA-Arg + 5891–5951 61 TCG
tRNA-Lys + 7374–7435 62 TTT
tRNA-His + 7448–7510 63 GTG
ND5 + 7511–9236 1726 ATG T(AA)
tRNA-Phe + 9237–9302 66 GAA
tRNA-Glu + 9305–9368 64 TTC
tRNA-Pro + 9370–9434 65 TGG
tRNA-Thr + 9434–9497 64 TGT
ND4L + 9498–9797 300 ATG TAA
ND4 + 9791–11158 1368 ATG TAA
tRNA-Cys + 11161–11223 63 GCA
tRNA-Met + 11224–11288 65 CAT
rrnS + 11291–12131 841
tRNA-Val + 12132–12199 68 TAC
rrnL + 12200–13540 1341
tRNA-Leu + 13541–13605 65 TAG
tRNA-Ala + 13608–13669 62 TGC
tRNA-Ser + 13670–13736 67 TGA
tRNA-Leu + 13737–13799 63 TAA
ND1 + 13800–14733 934 ATG T(AA)
tRNA-Ile + 14734–14802 69 GAT
ND3 + 14829–15182 354 ATG TAA
tRNA-Ser + 15181–15249 69 TCT
ND2 + 15274–16257 984 ATG TAA

Specimen IOM_2014_38: Silax daleus Lyman, 1879, Ophiuroidea

Fig. 8.

Figure 8. 

Specimen IOM_2014_38 identified as Silax daleus on a polymetallic nodule immediately after sampling (unscaled).

Station ID: 3526.

Biosample: SAMN42180856.

Cluster of nuclear rRNA genes

The cluster is complete with a total length of 6,940 bp (GenBank: PP970577). The best 18S megablast result is Amphioplus cf. daleus NHM_447 (KU519529) (Glover et al. 2016), E-value 0.0, identity 100.00% for a length of 1,676 bp. Amphioplus daleus is a synonym of Silax daleus (Stöhr et al. 2024). Manual alignment of the 28S gene with the two partial sequences of Amphioplus cf. daleus (GenBank: MN170903 and MN170901, 993 bp and 973 bp long, respectively) (Christodoulou et al. 2019) showed a complete identity with MN170903 and three polymorphisms at the very end of the 3’ part of MN170901.

Mitochondrial genome

The mitogenome is complete with redundant endings (GenBank: PP977505). It is 16,411 bp long and encodes 13 protein coding genes, two rRNAs and 22 tRNAs encoded on both strands (Fig. 9, Table 5). The nucleotide composition is A (34.82%), T (30.25%), C (21.54%) and G (13.39%). The best cox1 megablast result is Amphioplus daleus voucher SO242_1_181_D4 (GenBank: MT160448) (Christodoulou et al. 2020), E-value 0.0, identity 100% for a length of 658 bp. The mitogenome is colinear with those of Amphiura sinicola (GenBank: NC_045938) (Lee et al. 2019), another representative of the Amphiuridae family whose accepted name is currently Amphiura (Fellaria) sinicola Matsumoto, 1941. Both mitogenomes share identical features, including the the premature ending of the protein-coding genes cob and ND1 by the presence of a tRNA.

Figure 9. 

Map of the mitochondrial genome of Silax daleus specimen IOM_2014_38, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle.

Table 5.

Characteristics of the genes encoded by the mitogenome of Silax daleus specimen IOM_2014_38. T(AA) in the stop codon column indicates a premature termination with the addition of 3’ A residues to the mRNA.

Gene Strand Location Size (bp) Start codon Stop codon Anticodon
cox1 + 1–1602 1602 ATG TAA
tRNA-Arg + 1603–1669 67 TCG
ND4L + 1670–1966 297 ATG TAA
cox2 + 1969–2655 687 ATG TAA
tRNA-Lys + 2657–2730 74 CTT
ATP8 + 2732–2860 129 ATG TAA
ATP6 + 2864–3550 687 ATG TAA
cox3 + 3558–4355 798 ATG TAG
tRNA-Ser - 4364–4435 72 TGA
ND3 + 4454–4813 360 ATG TAA
ND4 + 4822–6183 1362 ATG TAA
tRNA-His + 6187–6258 72 GTG
tRNA-Ser + 6260–6326 67 GCT
ND5 + 6328–8121 1794 ATG TAA
ND6 - 8433–8912 480 ATG TAA
tRNA-Ala - 9481–9550 70 TGC
tRNA-Glu - 9558–9625 68 TTC
tRNA-Gly - 9627–9697 71 TCC
rrnL - 9673–11123 1451
tRNA-Leu - 11112–11182 71 TAG
tRNA-Pro - 11188–11255 68 TGG
rrnS - 11250–12158 909
tRNA-Phe - 12162–12232 71 GAA
tRNA-Thr - 12238–12304 67 TGT
cob - 12305–13448 1144 GTG T(AA)
tRNA-Asp - 13450–13519 70 GTC
ND2 - 13595–14650 1056 GTG TAG
tRNA-Ile - 14650–14723 74 GAT
tRNA-Met - 14832–14900 69 CAT
ND1 - 14901–15900 1000 GTG T(AA)
tRNA-Leu - 15901–15972 72 TAA
tRNA-Asn - 15973–16045 73 GTT
tRNA-Gln + 16044–16115 72 TTG
tRNA-Cys + 16117–16184 68 GCA
tRNA-Val - 16189–16258 70 TAC
tRNA-Tyr - 16260–16328 69 GTA
tRNA-Trp + 16340–16410 71 TCA

Specimen IOM_2014_51: Bryozoa

Fig. 10.

Figure 10. 

Specimen IOM_2014_51 on a polymetallic nodule immediately after sampling (unscaled).

Station ID: 3540.

Biosample: SAMN42180857.

Cluster of nuclear rRNA genes

The cluster is complete with a total length of 6,530 bp (GenBank: PP971152). The best 18S megablast result is Hornera foliacea MacGillivray, 1869 (GenBank: FJ409613) (Waeschenbach et al. 2009), E-value 0.0, identity 98.64% for a length of 1,810 bp.

Mitochondrial genome

The mitogenome has no redundant endings but seems to contain all conserved genes (GenBank: PP990758). Having 23,683 bp, the mitogenome is long and rather complex. It contains 12 protein coding genes, 16 tRNAs and two rRNAs encoded on both strands (Fig. 11, Table 6). The nucleotide composition is A (36.65%), T (39.00%), C (9.61%) and G (14.74%). There are group II introns in cox1 (two introns), cox2 (one intron) and cob (three introns). The intron in cox2 contains an open-reading frame coding for a putative reverse transcriptase. The intron in cox1 also contains an open-reading frame, but only the maturase domain seems conserved and complete. No ATP8 could be found. The best megablast result for the coding sequence (CDS) of cox1 was not relevant and did not relate to Bryozoa, which was also the case when blasting the full mitogenome.

Figure 11. 

Map of the mitochondrial genome of specimen IOM_2014_51, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle. Introns appear in white.

Table 6.

Characteristics of the genes encoded by the mitogenome the unidentified Bryozoa IOM_2014_51. The size of the intron-containing genes is indicated with and without the introns.

Gene Strand Location Size (bp) Start codon Stop codon Anticodon
tRNA-Met - 450–527 78 CAT
tRNA-Cys + 1291–1360 70 GCA
ND6 + 1482–1940 459 ATG TAA
cox1 + 1969–6242 (2 introns) 4274 (full) 1518 (CDS) ATG TAA
tRNA-Ser + 6251–6315 65 TCT
tRNA-Pro - 6320–6377 58 TGG
tRNA-Gln - 6384–6438 55 TTG
tRNA-Gly + 6442–6518 77 TCC
cox3 + 6497–7264 768 ATG TAA
tRNA-Tyr + 7276–7337 62 GTA
tRNA-Arg + 7339–7404 66 TCG
ND3 + 7392–7700 309 ATG TAG
tRNA-Thr - 7680–7746 67 TGT
ND4L - 7828–8094 267 ATG TAA
rrnL + 8353–9501 1149
tRNA-Lys + 9500–9552 53 TTT
ND2 - 9567–10457 891 ATG TAA
tRNA-Phe + 10491–10547 57 GAA
tRNA-Asn + 10540–10595 56 GTT
ND4 - 10591–11799 1209 ATG TAA
tRNA-Val - 11802–11856 55 TAC
tRNA-Trp - 11851–11906 56 TCA
ND1 - 11910–12770 861 ATG TAA
ND5 - 12788–14290 1503 ATG TAA
tRNA-His - 14290–14346 57 GTG
cob + 14410–17344 (3 introns) 2935 (full) 1113 (CDS) ATG TAA
tRNA-Glu + 17349–17413 65 TTC
tRNA-Met + 17426–17489 64 CAT
cox2 + 17497–20172 (2 introns) 2676 (full) 666 (CDS) ATG TAA
tRNA-Asp + 20175–20250 76 GTC
rrnS + 20336–21044 709
ATP6 + 21099–21716 618 ATG TAA
tRNA-Thr + 22313–22374 62 GGT
tRNA-Glu - 23064–23121 58 TTC
tRNA-Glu - 23592–23649 58 TTC

Specimens IOM_2014_54 and 2014_58: Ophiosphalma glabrum (Lütken & Mortensen, 1899)

Figs 12, 13.

Figure 12. 

Specimen IOM_2014_54 on a polymetallic nodule immediately after sampling (unscaled).

Figure 13. 

Specimen IOM_2014_58 on a polymetallic nodule immediately after sampling (unscaled).

Station ID IOM_2014_54: 2229Tr_2; Station ID IOM_2014_58: 3521Tr_1.

Biosample IOM_2014_54: SAMN46122295; Biosample IOM_2014_58: SAMN46122296.

Cluster of nuclear rRNA genes

We failed at assembling the cluster of rRNA and could only retrieve the 18S gene (GenBank: PP960805 and PP968762 for specimens IOM_2014_54 and IOM_2014_58 respectively). Both are 1816 bp long and are 100% identical with each other. The best 18S megablast result is Ophiomusium cf. glabrum NHM_329 (GenBank: KU519536) from Glover et al. (2016), E-value 0.0, identity 99.82% for a length of 1669 bp. Ophiomusium glabrum is a non-accepted synonym of Ophiosphalma glabrum.

Mitochondrial genome

The mitogenomes were found complete with redundant endings. They are 16,003 bp long for specimen 2014_54 (GenBank: PP977506) and 15,994 bp long for 2014_58 (GenBank: PP977508). The mitogenomes encode for 13 protein coding genes, two rRNA and 22 tRNA, encoded on both strands (Figs 14, 15, Table 7). The nucleotide composition is A (35.09%/35.10%), T (33.44%/33.46%), C (19.43%/19.43%) and G (12.05%/12.01%) for IOM_2014_54 and IOM_2014_58, respectively. Both cox2 and cob have premature termination by the presence of a tRNA. The best megablast results for the cox1 gene were Ophiosphalma glabrum voucher DSB_3935 (GenBank: MW770847), E-value 0.0, identity 99.70% for a length of 658 bp for IOM_2014_54, and Ophiosphalma glabrum voucher DSB_42 (GenBank: MW770844), E-value 0.0, identity 99.85% for a length of 653 bp for IOM_2014_58. In Table 8, a comparison for each gene is presented. The most conserved gene was ND6 and the most polymorph ATP8. It is to note that an indel was found in the rrnS gene. Most of the protein encoded were impacted by these mutations, except for the cox1, ND4L, and ND6 genes.

Figure 14. 

Map of the mitochondrial genome of Ophiosphalma glabrum specimen IOM_2014_54, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle.

Figure 15. 

Map of the mitochondrial genome of Ophiosphalma glabrum specimen IOM_2014_58, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle.

Table 7.

Characteristics of the genes encoded by the mitogenomes of Ophiosphalma glabrum specimens IOM_2014_54 and IOM_2014_58. T(AA) in the stop codon column indicates a premature termination with the addition of 3’ A residues to the mRNA. When there are discrepancies in the positions of the genes, they are indicated separately for IOM_2014_54 and IOM_2014_58, respectively.

Gene Strand Location Size (bp) Start codon Stop codon Anticodon
cox1 + 1–1602 1602 ATG TAA
tRNA-Arg + 1601–1668 68 TCG
ND4L + 1675–1971 297 ATG TAA
cox2 + 1976–2666 624 ATG T(AA)
tRNA-Lys + 2667–2734 68 CTT
ATP8 + 2738–2905 168 ATG TAA
ATP6 + 2893–3591 699 ATG TAA
cox3 + 3596–4393 798 ATG TAA
tRNA-Ser - 4392–4463 72 TGA
ND3 + 4490–4849/4492–4851 360 ATG TAA
ND4 + 4852–6219/4854–6221 1368 ATG TAA
tRNA-His + 6243–6314/6244–6315 72 GTG
tRNA-Ser + 6317–6379/6316–6382 63 GCT
ND5 + 6382–8160/6383–8161 1779 ATG TAA
ND6 - 8176–8643/8177–8662 468 ATG TAA
tRNA-Gly - 9108–9176/9099–9167 69 TCC
rrnL - 9166–10549/9157–10540 1384
tRNA-Leu - 10580–10647/10571–10638 68 TAG
tRNA-Ala - 10650–10716/10641–10707 67 TGC
tRNA-Met - 10719–10787/10710–10778 69 CAT
tRNA-Pro - 10787–10855/10778–10846 69 TGG
rrnS - 10937–11841/10928–11833 905/906
tRNA-Phe - 11841–11912/11833–11904 72 GAA
tRNA-Glu - 11921–11986/11913–11977 66 TTC
tRNA-Thr - 12108–12173/12099–12164 66 TGT
cob - 12174–13323/12165–13314 1150 ATG T(AA)
tRNA-Asp - 13324–13391/13315–13382 68 GTC
ND2 - 13390–14445/13381–14436 1056 ATG TAA
tRNA-Ile - 14445–14518/14436–14509 74 GAT
ND1 - 14518–15519/14509–15510 1002 ATG TAA
tRNA-Leu - 15523–15595/15514–15586 73 TAA
tRNA-Asn - 15597–15668/15588–15659 72 GTT
tRNA-Gln + 15667–15736/15658–15727 70 TTG
tRNA-Cys + 15735–15797/15726–15788 63 GCA
tRNA-Val - 15796–15865/15787–15856 70 TAC
tRNA-Tyr - 15867–15935/15858–15926 69 GTA
tRNA-Trp + 15937–16003/15928–15994 67 TCA
Table 8.

Number of single nucleotide polymorphisms (SNPs) and percentage of identity between the protein-coding and rRNA genes of specimens Ophiosphalma glabrum 2014_54 and 2014_58.

Gene SNPs/total length Identity (%)
ATP6 9/705 98.72
ATP8 5/168 97.02
cob 12/1150 98.96
cox1 12/1602 99.25
cox2 10/691 98.55
cox3 9/798 98.75
ND1 17/1002 98.30
ND2 7/1056 99.34
ND3 4/360 98.89
ND4 16/1368 98.83
ND4L 4/297 98.65
ND5 16/1779 99.10
ND6 1/486 99.79
rrnL 5/1384 99.64
rrnS 4 SNPs + 1 indel/905–906 NA

Specimen IOM_2014_55: unidentified Holothuroidea

Fig. 16.

Figure 16. 

Specimen IOM_2014_55 after sampling, photo taken on a glass Petri dish after cleansing with water (unscaled).

Station ID: 2229Tr_2.

Biosample: SAMN42180858.

Cluster of nuclear rRNA genes

We failed at assembling a complete rRNA cluster. Instead, we extracted the 18S gene, which is 1,876 bp long (GenBank: PP971153). The best 18S megablast result is Deima validum (GenBank: KX856815), currently accepted name Deima validum validum Théel, 1879 (Miller et al. 2017), E-value 0.0, identity 99.34% for a length of 1,815 bp.

Mitochondrial genome

The mitogenome is complete with redundant endings (GenBank: PP977507). It is 16,097 bp long and encodes 13 protein coding genes, two rRNAs and 22 tRNAs (Fig. 17, Table 9). The nucleotide composition is A (35.23%), T (33.57%), C (17.98%) and G (13.22%). The best cox1 megablast result is Isostichopus badionotus Selenka, 1867 (GenBank: MZ188901) (Drake et al. 2021), with E-value 0.0, identity 79.58% for a length of 16,318 bp (the sequence represents a complete mitochondrial genome). When aligning the cox1 gene with sequences of various Holothuroidea from the CCZ as studied by Bribiesca-Contreras et al. (2022) and performing an ML phylogeny on them (model of evolution GTR+I+G4), the tree reveals that specimen IOM_2014_55 is sister to a clade containing Oneirophanta sp. CCZ 100 voucher CCZ_100 (ON400706) and Oneirophanta cf. mutabilis GBC-2022 voucher CCZ_193 (ON400724) with a 89% support at the node (tree not shown).

Figure 17. 

Map of the mitochondrial genome of specimen IOM_2014_55, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle.

Table 9.

Characteristics of the genes encoded by the mitogenome the unidentified Holothuroidea IOM_2014_55. T(AA) in the stop codon column indicates a premature termination with the addition of 3’ A residues to the mRNA.

Gene Strand Location Size (bp) Start codon Stop codon Anticodon
cox1 + 1–1554 1554 ATG TAA
tRNA-Arg + 1553–1618 66 TCG
ND4L + 1619–1915 297 ATG TAA
cox2 + 1916–2604 689 ATG TA(A)
tRNA-Lys + 2605–2668 64 CTT
ATP8 + 2669–2842 174 ATG TAA
ATP6 + 2830–3519 690 ATG TAA
cox3 + 3522–4304 783 ATG TAA
tRNA-Ser + 4303–4373 71 TGA
ND3 + 4412–4756 345 ATG TAA
ND4 + 4760–6116 1357 ATG T(AA)
tRNA-His + 6118–6186 69 GTG
tRNA-Ser + 6188–6254 67 GCT
ND5 + 6255–8090 1836 ATG TAA
cob + 8155–9257 1103 ATG TAA
tRNA-Phe + 9257–9327 71 GAA
rrnS + 9326–10159 834
tRNA-Glu + 10158–10224 67 TTC
tRNA-Thr + 10225–10294 70 TGT
tRNA-Asn + 10330–10398 69 GTT
tRNA-Val + 10431–10500 70 TAC
tRNA-Tyr + 10543–10608 66 GTA
tRNA-Gly + 10611–10675 65 TCC
tRNA-Gln - 10711–10780 70 TTG
tRNA-Leu + 10804–10873 70 TAG
tRNA-Ala - 10873–10939 67 TGC
ND6 - 10958–11446 489 ATG TAG
tRNA-Met + 11456–11524 69 CAT
tRNA-Pro - 12010–12075 66 TGG
tRNA-Trp + 12121–12189 69 TCA
tRNA-Cys + 12190–12256 67 GCA
tRNA-Asp + 12258–12325 68 GTC
tRNA-Leu + 12321–12391 71 TAA
ND1 + 12392–13363 972 ATG TAA
tRNA-Ile + 13389–13456 68 GAT
ND2 + 13457–14503 1047 ATG TAA
rrnL + 14504–15933 1430

Specimen IOM_2014_57: unidentified Porifera

Fig. 18.

Figure 18. 

Specimen IOM_2014_57 on a polymetallic nodule immediately after sampling (unscaled).

Station ID: 3521Tr_1.

Biosample: SAMN42180859.

Cluster of nuclear rRNA genes

The cluster is complete with a total length of 5,804 bp (GenBank: PP968769). The best 18S megablast result is again P. pachymastia voucher UCMPWC932 (GenBank: EF654528), E-value 0.0, identity 99.76% for a length of 1,660 bp. Megablast queries of the D1/D2 region returned a 100% identity with Tentorium sp. voucher NHM1404 (GenBank: PP848927) and Tentorium sp. voucher NHM1619 (GenBank: PP848930).

Mitochondrial genome

The mitogenome is complete with redundant endings (GenBank: PP971518). It is 22,712 bp long and encodes 14 protein coding genes, two rRNAs and 25 tRNAs, all on the same strand (Fig. 19, Table 10). The nucleotide composition is A (31.35%), T (36.60%), C (12.30%) and G (19.75%). There is a group I intron in the cox1 gene that contains a 282 amino-acid long ORF encoding a putative LAGLIDADG endonuclease. The best megablast result for the CDS of the cox1 gene is P. littoralis (GenBank: KJ129611) with E-value 0.0, identity 94.81% for a length of 21,719 bp (representing a complete mitogenome).

Figure 19. 

Map of the mitochondrial genome of specimen IOM_2014_57, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle. Introns appear in white.

Table 10.

Characteristics of the genes encoded by the mitogenome the unidentified Porifera IOM_2014_57. The size of the intron-containing genes is indicated with and without the introns.

Gene Strand Location Size (bp) Start codon Stop codon Anticodon
cox1 + 1–2620 (1 intron) 2620 (full) 1563 (CDS) ATG TAG
tRNA-Ser + 2669–2752 84 TGA
tRNA-Asp + 2868–2939 72 GTC
tRNA-Cys + 3467–3532 66 GCA
ND1 + 3571–4566 996 ATG TAG
tRNA-Leu + 4640–4723 84 TAA
tRNA-Ile + 4772–4844 73 GAT
tRNA-Met + 4853–4923 71 CAT
ND2 + 5013–6428 1416 ATG TAA
ND5 + 6509–8401 1893 ATG TAG
tRNA-Ala + 8470–8542 73 TGC
tRNA-Met + 8640–8711 72 CAT
tRNA-Phe + 8843–8915 73 GAA
rrnS + 9111–10109 999
tRNA-Gly + 10393–10464 72 TCC
tRNA-Val + 10478–10550 73 TAC
rrnL + 11766–13180 1415
tRNA-Tyr + 13494–13564 71 GTA
tRNA-Met + 13609–13680 72 CAT
cox2 + 13824–14555 732 ATG TAA
tRNA-Lys + 14612–14684 73 TTT
ATP8 + 14686–14955 270 ATG TAA
ATP6 + 15015–15749 735 ATG TAA
tRNA-Arg + 15912–15985 74 TCT
cox3 + 16062–16850 789 ATG TAG
tRNA-Gln + 16913–16984 72 TTG
tRNA-Trp + 17051–17121 72 TCA
tRNA-Asn + 17238–17308 71 GTT
tRNA-Leu + 17339–17413 75 TAG
cob + 17415–18569 1155 ATG TAA
tRNA-Thr + 18609–18682 74 TGT
ATP9 + 18799–19035 237 ATG TAA
tRNA-Ser + 19178–19262 85 GCT
tRNA-Pro + 19300–19372 73 TGG
ND4 + 19436–20887 1452 ATG TAA
tRNA-His + 20939–21011 73 GTG
tRNA-Glu + 21075–21146 72 TTC
ND6 + 21144–21740 597 ATG TAA
ND3 + 21760–22116 357 ATG TAA
tRNA-Arg + 22194–22264 71 TCG
ND4L + 22265–22564 300 ATG TAG

Specimen IOM_2014_62: unidentified Brachiopoda

Fig. 20.

Figure 20. 

Specimen IOM_2014_62 on a polymetallic nodule immediately after sampling (unscaled).

Station ID: 3545.

Biosample: SAMN42180860.

Cluster of nuclear rRNA genes

It was impossible to obtain the complete cluster of rRNA, or the complete 18S. Only a 809 bp fragment could be derived from the assembly (GenBank: PP971154). The best 18S megablast result is Neorhynchia sp. D1090 (GenBank: AF025937) (Cohen et al. 1998), E-value 0.0, identity 99.88% for a length of 1,769 bp.

Mitochondrial genome

The mitogenome is complete with redundant endings (GenBank: PP977509). It is 16,266 bp long and codes for 13 protein coding genes, two rRNAs and 22 tRNAs, all encoded on the same strand (Fig. 21, Table 11). The nucleotide composition is A (28.05%), T (26.52%), C (30.14%) and G (15.29%). The best cox1 megablast result is Hemithiris sp. Hem1 (GenBank: AB026517) (Saito et al. 2000) with E-value 0.0, identity 81.71% for a length of 1,218 bp.

Figure 21. 

Map of the mitochondrial genome of specimen IOM_2014_62, with the type of genes indicated by colour boxes and the GC content indicated by the grey circle.

Table 11.

Characteristics of the genes encoded by the mitogenome the unidentified Holothuroidea IOM_2014_62. T(AA) in the stop codon column indicates a premature termination with the addition of 3’ A residues to the mRNA.

Gene Strand Location Size (bp) Start codon Stop codon Anticodon
cox1 + 1–1548 1548 ATG TAA
cox2 + 1560–2243 684 ATG TAA
tRNA-Asp + 2242–2309 68 GTC
tRNA-Met + 2368–2437 70 CAT
rrnS + 2453–3298 846
rrnL + 3340–4707 1368
tRNA-Leu + 5016–5081 66 TAG
tRNA-Cys + 5116–5181 66 GCA
ATP8 + 5205–5594 390 ATG TAA
ATP6 + 5596–6387 792 ATC TAG
tRNA-Tyr + 6741–6806 66 GTA
tRNA-Val + 6811–6875 65 TAC
ND6 + 6892–7384 493 ATG T(AA)
tRNA-Pro + 7385–7451 67 TGG
cob + 7543–8595 1053 ATG TAA
tRNA-Lys + 8596–8659 64 TTT
tRNA-Asn + 8660–8725 66 GTT
tRNA-Ser + 8726–8792 67 TGA
ND4L + 8866–9078 213 ATG TAA
ND4 + 9072–10434 1363 ATG T(AA)
tRNA-Gln + 10435–10503 69 TTG
tRNA-Trp + 10504–10567 64 TCA
tRNA-His + 10567–10630 64 GTG
ND5 + 10676–12355 1680 ATT TAA
tRNA-Phe + 12356–12423 68 GAA
tRNA-Glu + 12425–12489 65 TTC
tRNA-Gly + 12491–12556 66 TCC
cox3 + 12558–13340 783 ATG TAA
tRNA-Ala + 13364–13428 65 TGC
tRNA-Arg + 13429–13496 68 TCG
tRNA-Ile + 13509–13580 72 GAT
ND3 + 13583–13933 351 GTG TAG
tRNA-Leu + 14005–14070 66 TAA
ND1 + 14127–15101 975 ATA TAA
tRNA-Ser + 15145–15210 66 TCT
ND2 + 15244–16194 951 ATC TAA
tRNA-Thr + 16196–16263 68 TGT

Discussion

It is assessed that there is a substantial gap between the CCZ biodiversity and the described metazoan species. Many species remain not only to be described, but also to be discovered (Amon et al. 2016; Christodoulou et al. 2019; Rabone et. al 2023). The gap is being slowly filled in, thanks to the increasing number of sampling efforts undertaken by scientist over the past years (including scientists working with ISA contractors), but at the same time new areas of knowledge gaps are being identified. To a certain extent, this paradox is reflected in the increasing amount of environmental data that ISA contractors are required to collect. Comparison of the LTC recommendations from previous years with the most recent ones clearly underlines the gaps in our knowledge (ISBA/25/LTC/6/Rev.3). This includes but is not limited to the application of genetic studies in assessing benthic biodiversity and population connectivity of organisms.

Although molecular studies have been making rapid progress over past years, advancing our knowledge on benthic metazoans, there are still phyla that have received limited attention from a genomic point of view. This is the case for Brachiopoda for example, which has been scarcely documented so far. Among the more than 400 known non-fossil species of Brachiopoda, fewer than ten have had their mitogenomes sequenced, with the majority of the sequences belonging to inarticulate brachiopods (Karagozlu et al. 2021; Niaison et al. 2021; Breton 2024). Only four species (and three genera) of articulate taxa, to which specimen IOM_2014_62 is likely to belong, have had their mitogenomes sequenced and published (Stechmann and Schlegel 1999; Helfenbein et al. 2001; Karagozlu et al. 2017; Noguchi et al. 2000). The percentage of identity of the cox1 gene between specimen IOM_2014_62 and the four other species ranges between 63.27% and 72.31%. There is a practical implication of such differences: DNA primers designed using previously published reference mitogenomes may not anneal correctly on the DNA of a specimen such as IOM_2014_62, and possibly other Brachiopoda from the CCZ. Documenting these taxa with more mitogenome data could help solve this problem, with the subsequent possibility to design more efficient primers.

Among our specimens, half of the Porifera and Bryozoa have introns in their mitogenomes, in each case in the cox1 gene. Although rare and nearly absent in other taxa groups, this is not the first time that introns have been found within the mitogenomes of these two phyla (Rot et al. 2006; Jenkins et al. 2022). In the case of Porifera, intron content within a single species has been proven to vary across populations (Cranston et al. 2021). Not only are these findings interesting from the evolutionary genomics point of view but, due to the unpredictable presence of introns, they also challenge the use of the cox1 gene for routine molecular barcoding of the CCZ Bryozoa and Porifera (Neal et al. 2022, 2023). Owing to the presence of introns, amplification of this gene by PCR might fail, or at least will require adoption of a protocol for longer elongation time and possibly the use of the Taq polymerase suitable for a long PCR.

A solution to such issues might be our genome-skimming approach. However, this approach has its limitations, one of them being that obtaining the required amount of DNA could result in the destruction of the smallest samples. There could thus be a risk of not leaving a correct specimen voucher behind, which is not in line with the ISA recommendations that advocate for reverse taxonomy followed by curation of voucher specimens and molecular samples in order to maintain the link between morphology-based and molecular-based identifications (ISBA/25/LTC/6/Rev.3 2023). Otherwise, such approach might require a preliminary treatment such as whole genome amplification. Regardless of the above limitation, when specimens qualify in terms of biomass, or are expendable because of their limited further use (which was the case with some of our own material), our approach could still be applied.

Among the ten specimens in this study, five of the sequences obtained matched the sequences stored in GenBank. Sequencing confirmed that specimen IOM_2014_38 is S. daleus and that specimens IOM_2014_54 and IOM_2014_58 were O. glabrum. We regard as especially promising the results obtained on O. glabrum, for further studies in the emerging field of population genetics and connectivity in the CCZ (Taboada et al. 2018; Riehl and De Smet 2020). With 12 SNPs out of 1602 bp, the cox1 gene would be a useful population marker for this species, as already suggested by the works of Christodoulou et al. (2020). It could be noted that none of the sequences obtained by Christodoulou et al. (2020) were identical to the cox1 gene of IOM_2014_54 and IOM_2014_58, which suggests a large polymorphism of this gene among this species.

The two other specimens which matched to some degree with GenBank references were identified as Demospongiae (IOM_2014_13) and Polychaeta (IOM_2014_17). Both were far more degraded, especially IOM_2014_17, which was torn into two pieces of ~ 1.5 cm each. Neither of the specimens was suitable for taxonomy, neither preliminary nor reverse. Megablast queries returned a 99.28% identity of IOM_2014_17 with Nicomache cf. benthaliana NHM_058, an organism that has been previously found in the licence areas UK-1A and UK-1B (UK Seabed Resources Ltd.), BGR (Federal Institute for Geosciences and Natural Resources of the Federal republic of Germany) and OMS (Ocean Mineral Singapore PTE Ltd.), all of which are located to the East of IOM claim area (Stewart et al. 2023). It is also worth reminding that queries of partial 18S, 28S, and cox1 returned a complete identity between IOM_2014_13 and Spinularia sp. voucher RC1570 which was also sampled in the Eastern part of the CCZ, as for the aforementioned Polychaeta.

The results of genome comparison obtained for specimen of Demospongiae IOM_2014_13 are more intriguing. The 100% identity with the partial cox1 gene of S. sarsii poses some problems. As far as we know, this species has never been reported in the CCZ. It is mostly found in the Atlantic Ocean, and a few locations have also been reported for the South-West Pacific (de Voogd et al. 2024). If the presence of S. sarsii is confirmed in the CCZ, it will raise questions about its global distribution. However, no further assessment should be done for this species based on our sequencing results, as we are faced with two taxonomic issues. First, it was impossible to perform a correct morphology-based identification of a partial and degraded specimen. Second, it should be noted that the 100% identity of the cox1 gene was returned for a 658 bp fragment deposited in GenBank, which is less than half the length of the complete cox1 gene of Demospongiae IOM_2014_13, leaving room for informative polymorphisms outside this 658 bp fragment. Moreover, the differences in length between queries and the sequences registered in GenBank may lead to further difficulties. When results are sorted based on their ‘Max Score’ or ‘Total Score’, different lengths and the impact they have on the ‘Query Cover’ parameter affect the result returned by such query. If the reference sequence deposited in GenBank is considerably shorter than the query, it may lead to the exclusion of the reference from the sequences producing significant alignment, whose number is limited to a maximum of one hundred. This in fact could serve as an argument in favour of our genome-skimming approach: submitting complete mitogenomes to GenBank means that querying a partial gene belonging to an identical species from the CCZ will return complete sequences as top results. With this in mind, we hope that the results presented here could be used as references in future studies on phylogeny, distribution of species and possibly population genetics of benthic organisms inhabiting the CCZ. We also hope that further investigations by other teams would lead to a more formal identification or description of the unidentified taxa here studied, and that such studies will benefit from the genomic results here presented.

Additional information

Conflict of interest

The authors have declared that no competing interests exist.

Ethical statement

No ethical statement was reported.

Funding

This work was co-financed by the Minister of Science under the "Regional Excellence Initiative" Program for 2024-2027 (RID/SP/0045/2024/01).

Author contributions

Conceptualization: RG. Funding acquisition: TA. Investigation: RG, TA, PD, KM, VS, CO. Methodology: PD, RG. Project administration: TA, KM. Visualization: AK. Writing - original draft: RG. Writing - review and editing: VS, KM, PD, TA, AK, CO.

Author ORCIDs

Romain Gastineau https://orcid.org/0000-0001-8661-5118

Kamila Mianowicz https://orcid.org/0000-0002-7755-3258

Przemysław Dąbek https://orcid.org/0000-0002-3736-3011

Christian Otis https://orcid.org/0000-0001-9680-5863

Tomasz Abramowski https://orcid.org/0000-0002-9029-406X

Data availability

All of the data that support the findings of this study are available in the main text.

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