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A possible new species of the Maculabatis gerrardi complex (Dasyatidae: Urogymninae) in the Indian Ocean coast off Southeastern Africa

Published online by Cambridge University Press:  27 November 2024

Valdemiro Muhala*
Affiliation:
Laboratório de Evolução, Universidade Federal do Pará, Instituto de Estudos Costeiros, Bragança, Pará, Brazil Divisão de Agricultura, Instituto Superior Politécnico de Gaza, Chókwè 1204, Mozambique
Aurycéia Guimarães-Costa
Affiliation:
Laboratório de Evolução, Universidade Federal do Pará, Instituto de Estudos Costeiros, Bragança, Pará, Brazil
Isadola Eusébio Macate
Affiliation:
Laboratório de Evolução, Universidade Federal do Pará, Instituto de Estudos Costeiros, Bragança, Pará, Brazil Departamento de Ciências Agrárias e Ambientais, Universidade Estadual de Santa Cruz, Ilheus, BA, Brazil
Ítalo Lutz
Affiliation:
Laboratório de Genética Aplicada, Universidade Federal do Pará, Instituto de Estudos Costeiros, Bragança, Pará, Brazil
Adam Rick Bessa-Silva
Affiliation:
Laboratório de Evolução, Universidade Federal do Pará, Instituto de Estudos Costeiros, Bragança, Pará, Brazil
Luan Pinto Rabelo
Affiliation:
Laboratório de Evolução, Universidade Federal do Pará, Instituto de Estudos Costeiros, Bragança, Pará, Brazil
Oliver J. Hasimuna
Affiliation:
Department of Fisheries, Ministry of Fisheries and Livestock, National Aquaculture Research and Development Centre, P.O. Box 22797, Kitwe, Zambia Department of Geography and Environmental Sciences, University of Reading, Reading RG6 6AB, UK
Grazielle Evangelista-Gomes
Affiliation:
Laboratório de Genética Aplicada, Universidade Federal do Pará, Instituto de Estudos Costeiros, Bragança, Pará, Brazil
Marcelo Vallinoto
Affiliation:
Laboratório de Evolução, Universidade Federal do Pará, Instituto de Estudos Costeiros, Bragança, Pará, Brazil Centro de Investigação em Biodiversidade e Recursos Genéticos, Laboratório Associado, Campus Agrário de Vairão, Universidade do Porto, Vairão, Portugal
Iracilda Sampaio
Affiliation:
Laboratório de Evolução, Universidade Federal do Pará, Instituto de Estudos Costeiros, Bragança, Pará, Brazil
*
Corresponding author: Valdemiro Muhala; Email: valdemiro.muhala@ispg.ac.mz
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Abstract

The genus Maculabatis is a group of batoid rays from the Dasyatidae family, consisting of two main complexes: the gerrardi (spotted species) and the pastinacoides (plain species). This study investigated the diversity within the Maculabatis gerrardi complex, revealing the presence of two distinct geographical lineages, with a potential new species captured off the coast of Mozambique. Molecular analysis showed a significant divergence: COI sequences from Mozambique specimens exhibited over 99% similarity with M. gerrardi from South Africa but more than 2% divergence from those in the Indo-Pacific. Phylogenetic analysis identified two distinct subclades, suggesting at least two hidden lineages within the genus Maculabatis and consequently possible new undescribed species within M. gerrardi complex. These findings emphasize the importance of conducting additional research that integrates both morphological and molecular methods to better understand the group's diversity and evolutionary dynamics, ultimately supporting the development of effective conservation strategies.

Type
Marine Record
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of Marine Biological Association of the United Kingdom

Introduction

The genus Maculabatis Last, Naylor and Manjaji-Matsumoto, Reference Last, Naylor and Manjaji-Matsumoto2016, whose species were formerly classified within the genus Himantura Müller & Henle 1837, is a group of batoid rays belonging to the family Dasyatidae (Last et al., Reference Last, Naylor and Manjaji-Matsumoto2016). Based on morphological and molecular data, the genus Maculabatis comprises two major complexes: the gerrardi complex (containing spotted species) and the pastinacoides complex (featuring plain species) (Last et al., Reference Last, Naylor and Manjaji-Matsumoto2016).

Maculabatis species and other closely related species have experienced multiple taxonomic revisions because of new insights gained from morphological and molecular research. Consequently, species such as Dasyatis bennetti (Müller & Henle 1841), Himantura gerrardi (Gray 1851) and Himantura walga (Müller & Henle 1841) have been reclassified as Hemitrygon bennettii, Maculabatis gerrardi and Brevitrygon walga, respectively (Fricke et al., Reference Fricke, Eschmeyer and Van der Laan2024; Froese and Pauly, Reference Froese and Pauly2024).

Currently, nine species are recognized within Maculabatis (Last et al., Reference Last, Naylor and Manjaji-Matsumoto2016). Research focusing on the study of M. gerrardi complex is still scarce and the taxonomic studies have always been suggested to try to resolve and better understand the group (Naylor et al., Reference Naylor, Caira, Jensen, Rosana, White and Last2012). In general, the species within M. gerrardi complex (formerly H. gerradi) are classified and characterized as large-sized whipray with a rhomboidal disc and narrowly rounded apices; anterior margin of the disc is almost straight; snout broadly triangular with small tip; not extending to tail base (in juveniles restricted to central disc) some enlarged denticles before and after pearl-like tubercular thorn, widely spaced; tail very slender, elongate, whip-like beyond sting, no cutaneous folds on tail; surface of disc usually paler greenish grey/greyish brown with numerous white spots posteriorly (rarely plain), tail banded beyond sting (Kizhakudan et al., Reference Kizhakudan, Akhilesh, Thomas, Yousuf, Sobhana, Purushottama, Menon, Dash, Manojkumar, Nair, Najmudeen and Zacharia2018).

The sharpnose stingrays M. gerrardi are predominantly present in coastal settings, including estuaries, within the Indo-West Pacific area, inhabiting depths up to 60 m (Last et al., Reference Last, White, Caira, Dharmadi, Lim, Manjaji-Matsumoto, Naylor, Pogonoski, Stevens and Yearsley2010, Reference Last, Naylor and Manjaji-Matsumoto2016). Species within M. gerrardi complex are frequently harvested by tangle net, bottom trawl, and trammel net fishing methods, where its flesh is consumed and hide utilized for leather production (White et al., Reference White, Last, Stevens, Yearsley and Fahmi2006; Last et al., Reference Last, White, Caira, Dharmadi, Lim, Manjaji-Matsumoto, Naylor, Pogonoski, Stevens and Yearsley2010). M. gerrardi, constitutes a set of cryptic species spread throughout the Indo-West Pacific region, displaying considerable differences both within and between species, regardless of the specific geographic area they occupy (Ward et al., Reference Ward, Holmes, White and Last2008; Bineesh et al., Reference Bineesh, Gopalakrishnan, Akhilesh, Sajeela, Abdussamad, Pillai, Basheer, Jena and Ward2016).

However, despite the existence of these classifications, there is still a great challenge in identifying specific species within the complex, mainly due to the morphological similarities that are observed between them, considering the colouring and in several cases the presence of small white spots on the posterior disc and with black and white banding to varying degrees on the tail which are the most common characteristic (Henderson, Reference Henderson2020).

Because of this, there is still a lot of inconsistency and difficulties in distinguishing these species, leading to errors in identifying them. The complexity for the identification within the M. gerrardi complex occurs along the Gulf of Oman descending to the Indo-Pacific region and northern Indian Ocean (Henderson, Reference Henderson2020). Last et al. (Reference Last, Manjaji-Matsumoto and Moore2012), in one of their works, had incorrectly examined and classified a species Himantura randalli (now Maculabatis randalli) due to its morphological characteristics.

Naylor et al. (Reference Naylor, Caira, Jensen, Rosana, White and Last2012) in their exhaustive work within the group had already suggested that it is important to make collections including samples from the Mozambique channel to try to gather a greater number of samples from the group in order to achieve a taxonomic resolution, since he identified several subgroups of the gerrardi complex in the Mozambique Channel on the sides of Madagascar.

Possibly the research that identifies the species of M. gerrardi on the coast of Tanzania is another one of these cases of wrong identification (and may be unknown specie of the complex) due not only to the complexity of the group, but also because it did not use multiple markers or morphological characteristic to resolve the group (Nehemia et al., Reference Nehemia, Shabani and Malisa2024).

These revisions have raised several questions and highlighted the need for further studies to clarify the taxonomic relationships and distribution patterns within the genus, as well as to better understand their ecological roles, conservation status and potential threats (Fricke et al., Reference Fricke, Eschmeyer and Van der Laan2024). In addition, the decline in elasmobranch stocks, particularly rays, coupled with their low fecundity and increased capture rates, have rendered these species increasingly vulnerable to extinction (Borsa et al., Reference Borsa, Arlyza, Laporte and Berrebi2012). Recent evaluations by the International Union for Conservation of Nature (IUCN) indicate that M. gerrardi now falls under the endangered species category, primarily due to the intensification of overfishing and the deterioration of its natural habitat (Sherman et al., Reference Sherman, Ali, Ali, Bineesh, Derrick, Dharmadi, Fahmi, Haque, Jabado, Maung, Seyha, Spaet, Tanay, Utzurrum, Valinassab, Vo and Yuneni2020; Dulvy et al., Reference Dulvy, Pacoureau, Rigby, Pollom, Jabado, Ebert, Finucci, Pollock, Cheok, Derrick, Herman, Sherman, VanderWright, Lawson, Walls, Carlson, Charvet, Bineesh, Fernando, Ralph, Matsushiba, Hilton-Taylor, Fordham and Simpfendorfer2021). Consequently, continued research is necessary to better understand these species ecology, population dynamics, and responses to anthropogenic threats, ultimately aiding in their conservation and management (Dulvy et al., Reference Dulvy, Pacoureau, Rigby, Pollom, Jabado, Ebert, Finucci, Pollock, Cheok, Derrick, Herman, Sherman, VanderWright, Lawson, Walls, Carlson, Charvet, Bineesh, Fernando, Ralph, Matsushiba, Hilton-Taylor, Fordham and Simpfendorfer2021).

In this study, through new sequences generated and molecular analyses, we verified the presence of two lineages in the M. gerrardi complex, with a possible new species distributed off the coast of Mozambique.

Materials and methods

Four individuals of M. gerrardi were gathered off the coast of southeastern Africa, specifically in the Inhambane province, Vilankulos district in Mozambique, by local fishermen who employed artisanal fishing trawls. These collections occurred in July 2022. The four specimens evaluated, are part of the barcode sequences generated by Muhala et al. (Reference Muhala, Guimarães-Costa, Macate, Rabelo, Bessa-Silva, Watanabe, Santos, Sambora, Vallinoto and Sampaio2024). All specimens captured had their bodies altered with visible incisions in the form of slices. Therefore, no photographs were taken in the field. Previous morphological identification was based on the shape and colour of the tail, which has a zebra-like camouflage of alternating black and white bands, and the posterior margin of the disc with small, sparse white spots as described by Last et al. (Reference Last, White, Caira, Dharmadi, Lim, Manjaji-Matsumoto, Naylor, Pogonoski, Stevens and Yearsley2010). Samples of tissue extracted from the specimens were conserved in a solution of 96% ethanol for laboratory preservation purposes.

The isolation of genomic DNA was carried out using a Wizard Genomic DNA Purification kit (Promega) according to the manufacturer's protocol specifically designed for extracting muscle tissue. The Nanodrop 2000 spectrophotometer (Thermo Scientific, CA, USA) was utilized to assess the quality and concentration of the obtained DNA. To amplify partial sequences of the cytochrome oxidase subunit I (COI) gene, polymerase chain reaction (PCR) was performed using the FishF1 and FishR1 primers (Ward et al., Reference Ward, Zemlak, Innes, Last and Hebert2005).

PCRs were conducted in a concluding volume of 15 μl that encompassed 2.5 μl of dNTPs (at 1.25 mM), 1.5 μl of buffer at 10× concentration, 0.7 μl of MgCl2 (with a concentration of 50 mM), 0.5 μl of every primer (10 pmol μl−1), 1.0 μl of all-inclusive genomic DNA (100 ng μl−1), 0.2 μl of Taq DNA polymerase (5 U μl−1), and a necessary quantity of sterile water to reach the intended volume of the reaction. The augmentation protocol was initiated by a 3-min denaturation process at 95°C, which led to 35 rounds of 40-s denaturation at 94°C, 40-s hybridization at 50°C, 60-s extension at 72°C, and concluded with a final 5-min extension at 72°C. Post-amplification, the PCR derivatives were purified using a 20% solution of polyethylene glycol (Lis and Scheilef, Reference Lis and Scheilef1975), and the sequencing was carried out via the Sanger method (Sanger et al., Reference Sanger, Nicklen and Coulson1977) using the BigDye Terminator v3.1 Cycle Sequencing kit (provided by Applied Biosystems, Foster City, CA, USA) following the directives set out by the manufacturer. Finally, the positive PCR samples were sequenced on the ABI 3500 XL device (from Thermo Fisher, CA, USA).

The obtained sequences were examined and analysed using chromatograms, and subsequently aligned using Geneious software, version 9.0.5 (accessible at https://www.geneious.com). In order to make the most comprehensive comparisons of Maculabatis species, all sequences available in GenBank and BOLD Systems (83 sequences) were included in the final database. We added as many Maculabatis individuals as possible to visualize the resulting clusters and confirm the previous morphological identification. Finally, a sequence from Plesiobatis daviesi (access BOLD/GenBank NCBI: ANGBF11484-15/KF899649), was used as an outgroup. The accession numbers and all used sequences are available in Supplementary Table S1. The final bank of sequences had a length of 514 bp.

Bayesian inference (BI) and maximum likelihood (ML) methods were used to explore the phylogenetic relationships of the species making use of MrBayes 3.1.2 (Huelsenbeck and Ronquist, Reference Huelsenbeck and Ronquist2001) and RAxML 7.2.7 (Stamatakis, Reference Stamatakis2006), respectively. For the BI process, four chains along with two self-governing runs each consisting of 10 million generations were incorporated. After every batch of 10 generations, 25% of the original trees were removed during the burn-in phase to eliminate any initial biases. JModelTest 2.1.10 (Darriba et al., Reference Darriba, Taboada, Doallo and Posada2012) was used to verify the GTR-GAMMA evolutionary model for ML analysis. The analysis was performed with 1000 bootstrap pseudo-replicates to provide reliable statistical support.

To explore the genetic structure patterns, haplotype networks were assembled utilizing Haploviewer (Salzburger et al., Reference Salzburger, Ewing and Von Haeseler2011). The calculation of genetic distances between distinct groups was achieved by determining the count of net nucleotide substitutions per site using the Da 10.21 formula (Nei, Reference Nei and Nei1987), as well as the unadjusted genetic distance (also known as P-distance) using DNAsp software (Rozas et al., Reference Rozas, Ferrer-Mata, Sánchez-DelBarrio, Guirao-Rico, Librado, Ramos-Onsins and Sánchez-Gracia2017). The subsequent modifications to the trees were performed employing FigTree version 1.4.3 (Rambaut, Reference Rambaut2017).

Results and discussion

Comparison of our data with sequences stored in the GenBank and BOLD Systems databases showed that the samples from this study formed a single group with the M. gerrardi samples (Figure 1A). However, there was a notable divergence in the degree of similarity across two distinct geographical regions. The COI sequences derived from samples amassed in the current study displayed over 99% similarity with those of M. gerrardi originating from South Africa but exhibited more than 2% divergence with those from the Indo-Pacific region (Supplementary Table S1). Furthermore, the M. gerrardi samples from Mozambique did not cluster with any other Maculabatis species, which is significant because the samples were misidentified by fishermen at the time of collection. The phylogenetic analysis based on mtDNA unveiled two distinctive subclades within M. gerrardi, which possibly correspond to two different lineages of species: the first subclade, which consists of samples from South Africa and Mozambique, and the second subclade, representing individuals from the Indo-West Pacific region (Figure 1A–C). The degree of genetic differentiation between the two subgroups, as measured by both uncorrected p-distance and Da distance, is 0.01049 and 0.01645, respectively. Hence, the data imply the presence of at least two hidden lineages within the genus Maculabatis.

Figure 1. (A) Phylogenetic relationships from Bayesian inference analysis. (B) Haplotype network derived from mtDNA haplotypes of M. gerrardi and (C) Pinpointing the new presence of M. gerrardi in the southern coastal region of Mozambique, specifically in the province of Inhambane, Vilankulos district, including sightings in South Africa. The map represents the distribution acknowledged by the IUCN – International Union for Conservation of Nature. The two identified lineages of M. gerrardi, along with their locations, are depicted as Group A and Group B.

Maculabatis gerrardi is a species complex with at least five species that show genetic distances between each other, but do not show an exclusive morphological pattern that clearly separates the five species (Naylor et al., Reference Naylor, Caira, Jensen, Rosana, White and Last2012). Our specimens were grouped with specimens from South Africa that we believe to be specimens of the species also found by Naylor et al. (Reference Naylor, Caira, Jensen, Rosana, White and Last2012) and previously named Himantura cf. gerrardi 4.

At the time the biological tissues were collected, the samples used in this study were not whole, which prevented an in-depth analysis of morphological aspects. Although Naylor et al. (Reference Naylor, Caira, Jensen, Rosana, White and Last2012) pointed out that the M. gerrardi complex does not show clear morphological differences between the subgroups, an analysis combining morphological and molecular methods is urgently needed. This is necessary to determine whether M. gerrardi represents a complex of distinct cryptic species or is undergoing a process of recent speciation, with a yet undescribed species present off the coast of Mozambique.

Recognizing and differentiating species is crucial for better management, especially in a group with many endangered species, such as elasmobranchs. Different but closely related species, as is often the case with cryptic species, belong to different evolutionary lineages and may have different ecological, behavioural or genetic requirements (Burns and Bloom, Reference Burns and Bloom2020; Gómez-Corrales and Prada, Reference Gómez-Corrales and Prada2020). Correct identification of these species is essential, as failures to do so can lead to an underestimation of diversity and the application of inadequate conservation measures. Without this recognition, distinct populations may be treated as a single species, which can result in ineffective management for unidentified lineages (Hohenlohe et al., Reference Hohenlohe, Funk and Rajora2021).

The diversity of species within the gerrardi complex is not strange, as it was pointed out by Naylor et al. (Reference Naylor, Caira, Jensen, Rosana, White and Last2012) when he analysed samples from the Mozambique Channel (Madagascar) and concluded that there was enough genetic difference to consider a possible new species within the complex.

This study provides new evidence for a possible undescribed species of the M. gerrardi complex in Mozambique. Understanding the true species diversity of the complex is fundamental for better management and conservation, as M. gerrardi is recognized as endangered by the IUCN Red List of Threatened Species (Sherman et al., Reference Sherman, Ali, Ali, Bineesh, Derrick, Dharmadi, Fahmi, Haque, Jabado, Maung, Seyha, Spaet, Tanay, Utzurrum, Valinassab, Vo and Yuneni2020).

Although the results are preliminary, they indicate the presence of two exclusive lineages within this complex, highlighting the need for more extensive research covering morphological aspects with molecular diversity using distinct markers. In this way, we can truly verify the biodiversity and evolutionary dynamics within this group in a complementary taxonomic approach.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0025315424000973

Author Contributions

V. M. wrote the first draft of the manuscript and reviewed the manuscript. A. G.-C. and I. E. M. designed research. Í. L., A. R. B. S. and L. P. R. analysed data and wrote the first draft of the manuscript. O. J. H. and G. E. -G. involved in material preparation and data collection. M. V. and I. S. obtained funding and laboratory requirements. All authors read and approved the final manuscript.

Financial Support

The funding for this study was provided by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) via the research projects 407536/2021-3 and 309916/2021-6. Additionally, the article processing charge (APC) was supported by Pró-Reitoria de Pesquisa e Pós-Graduação of the Universidade Federal do Pará.

Conflict of Interest

None.

Ethical Standards

Not applicable.

Data Availability

All data are available upon request.

References

Bineesh, KK, Gopalakrishnan, A, Akhilesh, KV, Sajeela, KA, Abdussamad, EM, Pillai, NGK, Basheer, VS, Jena, JK and Ward, RD (2016) DNA barcoding reveals species composition of sharks and rays in the Indian commercial fishery. Mitochondrial DNA Part A 28, 458472.CrossRefGoogle ScholarPubMed
Borsa, P, Arlyza, IS, Laporte, M and Berrebi, P (2012) Population genetic structure of blue-spotted maskray Neotrygon kuhlii and two other Indo-West Pacific stingray species (Myliobatiformes: Dasyatidae), inferred from size-polymorphic intron markers. Journal of Experimental Marine Biology and Ecology 438, 3240.CrossRefGoogle Scholar
Burns, MD and Bloom, DD (2020) Migratory lineages rapidly evolve larger body sizes than non-migratory relatives in ray-finned fishes. Proceedings of the Royal Society B 287, 20192615.CrossRefGoogle ScholarPubMed
Darriba, D, Taboada, GL, Doallo, R and Posada, D (2012) JModeltest 2: more models, new heuristics and parallel computing. Nature Methods 9, 772.CrossRefGoogle ScholarPubMed
Dulvy, NK, Pacoureau, N, Rigby, CL, Pollom, RA, Jabado, RW, Ebert, DA, Finucci, B, Pollock, CM, Cheok, J, Derrick, DH, Herman, KB, Sherman, CS, VanderWright, WJ, Lawson, JM, Walls, RHL, Carlson, JK, Charvet, P, Bineesh, KK, Fernando, D, Ralph, GM, Matsushiba, JH, Hilton-Taylor, C, Fordham, SV and Simpfendorfer, CA (2021) Overfishing drives over one-third of all sharks and rays toward a global extinction crisis. Current Biology 31, 47734787.CrossRefGoogle Scholar
Fricke, R, Eschmeyer, WN and Van der Laan, R (2024) Eschmeyer's catalog of fishes: Genera, Species. Available at http://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp (Accessed online 28 January 2024).Google Scholar
Froese, R and Pauly, D (2024) FishBase. Available at www.fishbase.org (Accessed online 30 July 2024).Google Scholar
Gómez-Corrales, M and Prada, C (2020) Cryptic lineages respond differently to coral bleaching. Molecular Ecology 29, 42654273.CrossRefGoogle ScholarPubMed
Henderson, AC (2020) A review of potential taxonomic barriers to the effective management of Gulf elasmobranch fisheries. Aquatic Ecosystem Health & Management 23, 210219.CrossRefGoogle Scholar
Hohenlohe, PA, Funk, WC and Rajora, OP (2021) Population genomics for wildlife conservation and management. Molecular Ecology 30, 6282.CrossRefGoogle ScholarPubMed
Huelsenbeck, JP and Ronquist, F (2001) MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics (Oxford, England) 17, 754755.Google ScholarPubMed
Kizhakudan, SJ, Akhilesh, KV, Thomas, S, Yousuf, KSSM, Sobhana, KS, Purushottama, GB, Menon, M, Dash, SS, Manojkumar, PP, Nair, RJ, Najmudeen, TM and Zacharia, PU (2018) Field Identification of Batoids – A Guide to Indian species. CMFRI special publication no.132. Kochi: ICAR-Central Marine Fisheries Research Institute.Google Scholar
Last, PR, Manjaji-Matsumoto, BM and Moore, AB (2012) Himantura randalli sp. nov., a new whipray (Myliobatoidea: Dasyatidae) from the Persian Gulf. Zootaxa 3327, 2032.CrossRefGoogle Scholar
Last, PR, Naylor, GJ and Manjaji-Matsumoto, BM (2016) A revised classification of the family Dasyatidae (Chondrichthyes: Myliobatiformes) based on new morphological and molecular insights. Zootaxa 4139, 345368.CrossRefGoogle ScholarPubMed
Last, PR, White, WT, Caira, JN, Dharmadi, FJK, Lim, APK, Manjaji-Matsumoto, MB, Naylor, GJP, Pogonoski, JJ, Stevens, JD and Yearsley, GK (2010) Sharks and Rays of Borneo. Collingwood: CSIRO Publishing.Google Scholar
Lis, JT and Scheilef, R (1975) Size fractionation of double-stranded DNA by precipitation with polyethylene glycol. Nucleic Acids Research 2, 383390.CrossRefGoogle ScholarPubMed
Muhala, V, Guimarães-Costa, A, Macate, IE, Rabelo, LP, Bessa-Silva, AR, Watanabe, L, Santos, GD, Sambora, L, Vallinoto, M and Sampaio, I (2024) DNA barcoding for the assessment of marine and coastal fish diversity from the Coast of Mozambique. Plos One 19, e0293345.CrossRefGoogle ScholarPubMed
Naylor, GJ, Caira, JN, Jensen, K, Rosana, KAM, White, WT and Last, PR (2012) A DNA sequence-based approach to the identification of shark and ray species and its implications for global elasmobranch diversity and parasitology. Bulletin of the American Museum of Natural History 2012, 1262.CrossRefGoogle Scholar
Nehemia, A, Shabani, M and Malisa, AL (2024) Population genetic status of endangered whitespotted whipray Maculabatis gerrardi (Gray, 1851) in Tanzania. Western Indian Ocean Journal of Marine Science 23, 105114.CrossRefGoogle Scholar
Nei, M (1987) DNA polymorphism within and between populations. In Nei, M (ed.), Molecular Evolutionary Genetics. New York: Columbia University Press, pp. 254286.CrossRefGoogle Scholar
Rambaut, A (2017) FigTree version 1.4.3. A graphical viewer of phylo-genetic trees. Available at http://tree.bio.ed.ac.uk/software/figtree (Accessed online 21 January 2024).Google Scholar
Rozas, J, Ferrer-Mata, A, Sánchez-DelBarrio, JC, Guirao-Rico, S, Librado, P, Ramos-Onsins, SE and Sánchez-Gracia, A (2017) DnaSP 6: DNA sequence polymorphism analysis of large data sets. Molecular Biology and Evolution 34, 32993302.CrossRefGoogle ScholarPubMed
Salzburger, W, Ewing, GB and Von Haeseler, A (2011) The performance of phylogenetic algorithms in estimating haplotype genealogies with migration. Molecular Ecology 20, 19521963.CrossRefGoogle ScholarPubMed
Sanger, F, Nicklen, S and Coulson, AR (1977) DNA sequencing with chain-terminating inhibitors. Proceedings of the National Academy of Sciences 74, 54635467.CrossRefGoogle ScholarPubMed
Sherman, CS, Ali, M, Ali, BA, Bineesh, KK, Derrick, D, Dharmadi, EI, Fahmi, FD, Haque, AB, Jabado, RW, Maung, A, Seyha, L, Spaet, J, Tanay, D, Utzurrum, JAT, Valinassab, T, Vo, VQ and Yuneni, RR (2020) Maculabatis gerrardi. The IUCN Red List of Threatened Species 2020: e.T161566A175219648.Google Scholar
Stamatakis, A (2006) RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics (Oxford, England) 22, 26882690.Google ScholarPubMed
Ward, RD, Holmes, BH, White, WT and Last, PR (2008) DNA barcoding Australasian chondrichthyans: results and potential uses in conservation. Marine and Freshwater Research 59, 5771.CrossRefGoogle Scholar
Ward, RD, Zemlak, TS, Innes, BH, Last, PR and Hebert, PD (2005) DNA barcoding Australia's fish species. Philosophical Transactions of the Royal Society B: Biological Sciences 360, 18471857.CrossRefGoogle ScholarPubMed
White, WT, Last, PR, Stevens, JD, Yearsley, GK and Fahmi, D (2006) Economically Important Sharks and Rays of Indonesia. Canberra: Australian Centre for International Agricultural Research.Google Scholar
Figure 0

Figure 1. (A) Phylogenetic relationships from Bayesian inference analysis. (B) Haplotype network derived from mtDNA haplotypes of M. gerrardi and (C) Pinpointing the new presence of M. gerrardi in the southern coastal region of Mozambique, specifically in the province of Inhambane, Vilankulos district, including sightings in South Africa. The map represents the distribution acknowledged by the IUCN – International Union for Conservation of Nature. The two identified lineages of M. gerrardi, along with their locations, are depicted as Group A and Group B.

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