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Mitogenome Announcement

The complete mitogenome of the Critically Endangered smalltooth sand tiger shark, Odontaspis ferox (Lamniformes: Odontaspididae)

ORCID Icon & ORCID Icon
Pages 3301-3304 | Received 15 Jul 2020, Accepted 20 Aug 2020, Published online: 04 Sep 2020

Abstract

Here, we report the first complete mitochondrial genome for the smalltooth sand tiger shark, Odontaspis ferox (Risso, 1810). The circular mitochondrial genome was found to be 16,682 bp in length and contains 37 genes, a control region and the replication origin of the L-strand (OL). The base composition of this mitogenome is 32.6% A, 23.3% C, 12.8% G, and 31.3% T. Phylogenetic analysis of Lamniformes indicates that O. ferox did not group with Carcharias taurus and so the taxonomic classification of Odontaspididae needs to be revised. This study promotes conservation genetics for this poorly studied shark species which is listed critically endangered in the Mediterranean Sea.

The smalltooth sand tiger shark, Odontaspis ferox (Risso, 1810), is one of the most poorly studied shark species (Fergusson et al. Citation2007), which is sparsely distributed in warm-temperate and tropical waters and is considered as uncommon given that it is rarely caught (Compagno Citation2002; Fergusson et al. Citation2007). Through the use of better data collection systems, recent new records of this species’ occurrence are giving a more comprehensive picture of its distribution (White Citation2007; Santander-Neto et al. Citation2011; Acuna-Marrero et al. Citation2013; Ritter and Compagno Citation2013; Long et al. Citation2014; Estupinan-Montano et al. Citation2016; Wellington et al. Citation2017). Moreover, on landing, this species is occasionally misidentified as Hexanchus griseus, given that both species have similar coloration (pers. obs.). Populations of O. ferox are declining and the species has been listed by IUCN as vulnerable on a global scale (Graham et al. Citation2016) and critically endangered at both European (Pollard et al. Citation2015) and Mediterranean level (Pollard et al. Citation2016). Consequently, it has been included in Annex II of the Specially Protected Areas and Biological Diversity (SPA/BD) Protocol (UNEP/MAP-SPA/RAC Citation2018) and in 2012 through the adoption of Recommendation GFCM36/2012/3, General Fisheries Commission for the Mediterranean prohibited the possession and commercialization of this species, while emphasizing on its possible unharmed release (FAO Citation2012). Subsequently, a number of Mediterranean countries have listed O. ferox as a protected species.

A 264 cm O. ferox male specimen was by-caught on 1 February 2011 through trawling activities in Maltese waters by local fishermen (36°5′3″N 14°4′43″E Central Mediterranean Sea). A tissue sample was collected from this specimen as part of fisheries landings sampling undertaken since 2002 by the Conservation Biology Research Group, University of Malta (CBRG-UM). The tissue sample collected for this species was stored at the Ichthyological Collection of the CBRG-UM (Ofer002-110201001) and has already contributed to DNA barcoding of the species (Vella et al. Citation2017). The total genomic DNA was extracted using GF-1 DNA Extraction Kit (Vivantis Technologies, Subang Jaya, Malaysia). A DNA library of the whole genome was constructed and next-generation sequencing reads were generated through Illumina HiSeqX using 2 × 150 bp end reads (Illumina, San Diego, CA). Sequences were paired, trimmed at Q ≥ Q30 and reads shorter that 100 nucleotides were discarded. The final data set was de novo assembled using Geneious R10 (Kearse et al. Citation2012). NCBI ORF Finder (https://www.ncbi.nlm.nih.gov/orffinder/) was used to identify PCGs, which were subsequently checked for start and stop codons. The tRNA genes were identified through their secondary structures using tRNAscan-SE v2.0 (Chan and Lowe Citation2019). This newly annotated genome was validated against the mitogenome of other Lamniformes species.

The complete mitogenome for this species is 16,682 bp long (GenBank accession: MT702386) and contains 13 PCGs, two rRNA genes, 22 tRNA genes, and two non-coding regions (control region and OL). The gene order followed the typical vertebrate order (Satoh et al. Citation2016), that is most of the mitochondrial genes are encoded on the H-strand, except one PCG (ND6), eight tRNA genes (Gln, Ala, Asn, Cys, Tyr, Ser, Glu, Pro) and the OL which are encoded on the L-strand. The PCGs range between 168 bp (ATP8) and 1830 bp (ND5) encoding for a total of 3798 amino acids. All PCGs utilize ATG as their start codon except COX1 which uses GTG. The most common stop codon is TAA, while ND6 uses AGG and four genes (COX2, ND3, ND4, and cytB) use T––. The length of the 22 tRNA genes range from 67 bp (SerAGY, Cys) to 75 bp (LeuUUR). All tRNA genes produced the expected cloverleaf structure except for SerAGY that has a missing dihydrouridine arm, typical for most vertebrate species (Satoh et al. Citation2016).

The currently sequenced mitogenome was aligned with that of 13 other Lamniformes using ClustalW (Thompson et al. Citation1994), while a phylogenetic tree, excluding the control region, was constructed using Bayesian Inference analysis through Mr Bayes v3.2.6 (Huelsenbeck and Ronquist Citation2001) () using GTR G + I substitution model as determined by jModelTest v2.1.7 (Darriba et al. Citation2012). This analysis did not group O. ferox with Carcharias taurus even though taxonomic keys place them both in Odontaspididae (Compagno Citation2002). Therefore, current results corroborate a number of morphological studies (Shimada Citation2005; Shimada et al. Citation2009) and molecular phylogenetic studies using smaller DNA sequences (Martin et al. Citation2002; Human et al. Citation2006; Velez-Zuazo and Agnarsson Citation2011; Naylor et al. Citation2012), which show that Odontaspididae is not monophyletic. This outcome indicates that the taxonomic classification of the two species that compose the family Odontaspididae needs to be revised. The genetic resources made available by this study on O. ferox aid future research into the genetics and evolution of its populations. It also promotes knowledge and research to better understand this species’ taxonomy to target effective measures toward its urgent conservation needs.

Figure 1. Bayesian inference based phylogeny depicting the mitogenomic relationship between 14 Lamniformes species using two Carcharhiniformes species as outgroup as inferred from their complete mitogenomes (excluding the control region). Each label includes the GenBank accession number, species, reference and respective family, while numbers at the nodes indicate the posterior probability values. This analysis used 5 × 106 generations, a sample frequency every 1000 generations and a burn-in of 25%. The mean standard deviation of split frequencies was <0.001.

Figure 1. Bayesian inference based phylogeny depicting the mitogenomic relationship between 14 Lamniformes species using two Carcharhiniformes species as outgroup as inferred from their complete mitogenomes (excluding the control region). Each label includes the GenBank accession number, species, reference and respective family, while numbers at the nodes indicate the posterior probability values. This analysis used 5 × 106 generations, a sample frequency every 1000 generations and a burn-in of 25%. The mean standard deviation of split frequencies was <0.001.

Ethical approval

This study did not require ethical approval as it made use of muscle tissue collected from a dead specimen that was caught by a local fishermen and was sold at the local fish market.

Acknowledgements

The authors would like to thank Maltese fishermen and the Ministry for Sustainable Development, the Environment and Climate Change for supporting this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are openly available in GenBank (accession no. MT702386) at https://www.ncbi.nlm.nih.gov/genbank/.

Additional information

Funding

The research disclosed in this publication has been funded through REACH HIGH Scholars Programme-Post Doctoral Grants and Bio.Con_Innovate Research Fund Award by the University of Malta. The former is part-financed by the European Union, Operational Programme II – Cohesion Policy 2014–2020 ‘Investing in Human Capital to Create More Opportunities and Promote the Well-Being of Society’ – European Social Fund.

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