Research Article

Barcoding Nemo: DNA-Based Identifications for the Ornamental Fish Trade

  • Dirk Steinke equal contributor mail,

    equal contributor Contributed equally to this work with: Dirk Steinke, Tyler S. Zemlak

    Affiliation: Canadian Centre for DNA Barcoding, Biodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada

  • Tyler S. Zemlak equal contributor,

    equal contributor Contributed equally to this work with: Dirk Steinke, Tyler S. Zemlak

    Affiliation: Canadian Centre for DNA Barcoding, Biodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada

    Current address: Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada

  • Paul D. N. Hebert

    Affiliation: Canadian Centre for DNA Barcoding, Biodiversity Institute of Ontario, University of Guelph, Guelph, Ontario, Canada

  • Published: July 21, 2009
  • DOI: 10.1371/journal.pone.0006300
  • Published in PLOS ONE



Trade in ornamental fishes represents, by far, the largest route for the importation of exotic vertebrates. There is growing pressure to regulate this trade with the goal of ensuring that species are sustainably harvested and that their point of origin is accurately reported. One important element of such regulation involves easy access to specimen identifications, a task that is currently difficult for all but specialists because of the large number of species involved. The present study represents an important first step in making identifications more accessible by assembling a DNA barcode reference sequence library for nearly half of the ornamental fish species imported into North America.

Methodology/Principal Findings

Analysis of the cytochrome c oxidase subunit I (COI) gene from 391 species from 8 coral reef locations revealed that 98% of these species exhibit distinct barcode clusters, allowing their unambiguous identification. Most species showed little intra-specific variation (adjusted mean = 0.21%), but nine species included two or three lineages showing much more divergence (2.19–6.52%) and likely represent overlooked species complexes. By contrast, three genera contained a species pair or triad that lacked barcode divergence, cases that may reflect hybridization, young taxa or taxonomic over-splitting.


Although incomplete, this barcode library already provides a new species identification tool for the ornamental fish industry, opening a realm of applications linked to collection practices, regulatory control and conservation.


Over the last 50 years, the international trade in ornamental fishes has grown rapidly. Beginning as a small export fishery in parts of the Indo-Pacific region during the early 20th century, the industry now involves most tropical and subtropical regions, generating some US$200–300 million annually for fishes alone [1]. Target species derive from freshwater and marine environments and include invertebrates (corals, crustaceans, anemones) and vertebrates (fishes) from both natural and captive breeding sources. Most marine fishes derive from wild populations collected from coral reef habitats along the coastal margins of the Atlantic, Pacific and Indian Oceans. Some 800 marine fish species, about 5% of all marine taxa, are involved in this trade with 70% of sales directed to North America [1].

DNA barcoding, the analysis of sequence diversity in a standardized gene region, has gained considerable validation as a tool for species identification and discovery. Several studies have demonstrated its effectiveness for identifying both marine and freshwater fishes [2][4], provoking an effort to build a barcode library for all fish species [5]. Currently, records are available for 41771 fishes, representing 6566 fish species on the Barcode of Life Data System, BOLD [6]. DNA barcoding also provides an independent means of testing the validity of existing taxonomic systems, revealing cases of inappropriate synonymy or overlooked taxa. For example, Ward et al. [7] and Zemlak et al. [8] found several likely cases of overlooked diversity in marine fishes. These results suggest that the species boundaries need to be examined for the heavily exploited populations targeted by the aquarium trade, to properly inform conservation strategies and planning.

The current study has constructed a DNA barcode database for marine fishes that are commonly imported by the pet trade to Canada. This investigation not only provides a further test of the capacity of DNA barcoding to deliver accurate species identifications, but also employs DNA barcodes to highlight potentially cryptic species and discusses some likely impacts of a DNA-based identification system on the ornamental fish trade.

Materials and Methods

Taxonomic Coverage

Whenever possible, at least 5 adults were analyzed per species with a total of 1638 individuals, representing 391 species. All specimens are deposited as vouchers in the Biodiversity Institute of Ontario, Guelph, Canada. Collection details are available from the Barcode of Life website ( in the project file “Aquarium Imports” and are listed in Table S1 by taxonomic rank following Nelson [9]. All samples were wild caught, ‘dead on arrival’ specimens provided by a Canadian importer of marine ornamental fishes. Specimens were frozen immediately and subsequently imaged on a flatbed scanner following a standard protocol [10].

DNA Analysis

A sample of muscle tissue from each specimen was extracted using an automated Glass Fiber protocol [11]. The 650 bp barcode region of COI was subsequently amplified under the following thermal conditions: 2 min at 95°C; 35 cycles of 0.5 min at 94°C, 0.5 min at 52°C, and 1 min at 72°C; 10 min at 72°C; held at 4°C. The 12.5 µl PCR reaction mixes included 6.25 µl of 10% trehalose, 2.00 µl of ultrapure water, 1.25 µl 10X PCR buffer [200 mM Tris-HCl (pH 8.4), 500 mM KCl], 0.625 µl MgCl2 (50 mM), 0.125 µl of each primer cocktail (0.01 mM, using primer cocktails C_FishF1t1 and C_FishR1t1 from [12], 0.062 µl of each dNTP (10 mM), 0.060 µl of Platinum® Taq Polymerase (Invitrogen), and 2.0 µl of DNA template. PCR amplicons were visualized on a 1.2% agarose gel E-Gel® (Invitrogen) and bidirectionally sequenced using sequencing primers M13F or M13R [12] and the BigDye® Terminator v.3.1 Cycle Sequencing Kit (Applied Biosystems, Inc.) on an ABI 3730 capillary sequencer following manufacturer's instructions.

Sequence data are available on both the Barcode of Life Data System (BOLD,, see [6]) and GenBank (Accession numbers in Table S1). Specimen and collection data, sequences, specimen images, and trace files are listed in the same project folder as collection data (Aquarium Imports) on BOLD. A Kimura 2-parameter (K2P) distance metric was employed for sequence comparisons [13]; genetic distances and initial Neighbor-joining (NJ) clustering used the BOLD Management & Analysis System. Confidence in estimated relationships of NJ tree topologies was evaluated by a bootstrap analysis with 1,000 replicates with MEGA version 3.1 [14]. A threshold of 2.0% intra-specific sequence divergence was employed to screen for overlooked species following the recommendation that a sequence divergence value set at 10X the average within species variation (0.21 in this study- see later) is likely to be effective in this regard [15].


COI amplicons were recovered from all 1638 individuals and there was no evidence of indels or stop codons which might signal the amplification of a NUMT. Sequence length averaged 645 bp (range = 459 to 652 bp), and 98% of the read lengths were greater than 600 bp.

A NJ tree of COI sequence divergences (K2P) indicated that most species formed cohesive units with little sequence variation (Figure S1). Mean K2P sequence distance between congeneric species (10.81%) was approximately 26-fold higher than within species variation (0.42%, uncorrected). The clear division between intra- and interspecific sequence variation is further illustrated in the half-logarithmic dot plot displayed which contrasted genetic distances within each species with the distance to its nearest neighbour (Figure 1).


Figure 1. Half-logarithmic dot plot of genetic distances within each species against genetic distances to nearest-neighbor.

For each species, there is a black dot showing intraspecific K2P distance and a red dot directly above or below it which shows the distance to its nearest neighbor. Sorting by intra- and interspecific distance allows the relative distances for each species to be seen. This graph indicates that few species have nearest-neighbor distances that are less than the mean intraspecific distance for that species. A line drawn at 1% separates most intraspecific from interspecific values.


Among the 307 species in which two or more specimens were examined, 9 displayed intra-specific divergences greater than 2.0% (Table 1). The mean sequence divergence for these cases averaged 4.46%, with values ranging from 2.19–6.53%. Eight of the nine species formed two distinct clusters, while one (Pseudanthias squamipinnis) included three groups. In six of these cases, the lineages were allopatric (Figure 2). Re-analysis of intra-specific divergence values for other samples, after excision of these taxa showing deep divergence, produced an ‘adjusted’ conspecific mean divergence of 0.21%.


Figure 2. Provisional splits of recognized species with intraspecific distances above 2.0% threshold species with groups associated with spatial differences.

(A) Pseudanthias squamipinnis, (B) Centropyge heraldi, (C) Chrysiptera cyanea and Chrysiptera starcki, (D) Valenciennea puellaris and Valenciennea wardii. Branch colors correspond to countries of specimen origin.


Table 1. Provisional splits of recognized species with intraspecific distances above the 2.0% threshold. Bootstrap supports for provisional species clusters are shown.


Sequence divergences between most congeneric taxa were high, averaging 10.81%, but there were exceptions. Three of the thirteen clownfishes (Amphiprion akallopsisos, A. perideraion and A. sandarcinos) showed sequence sharing as did two species of butterfly fishes (Chaetodon punctatofasciatus, C. multicinctus) and two species of surgeons (Zebrasoma flavenscens, Z. scopas). In all of these cases, COI sequences were tightly clustered, differing by less than 0.3% divergence.


More than 98% of the 391 species of ornamental fishes examined in this study possess COI sequences that permit their separation from any other taxon included in this study (or any of the other 6175 fish species on BOLD). This fact reflects the observation that sequence divergence between congeneric taxa was typically high, averaging 10.81%. Conversely, within-species variation for most taxa was very low [adjusted mean = 0.21%], matching the lowest levels of conspecific variation reported in prior barcoding studies on fishes [2], [3], [8], [16]. There were a few exceptions to these general patterns. Nine species showed markedly deeper COI variation, ranging from 2.19–6.52%. Conversely, a few cases were encountered where barcode divergence was either very limited or absent between recognized species. The next sections of the discussion consider these cases in more detail.

Deep Sequence Divergence within Species

While the 9 species with component lineages showing more than 2% divergence likely represent overlooked species, they might alternatively reflect deep phylogeographic variants linked to female philopatry. While the possibility of sex-biased dispersal has been suspected in a few species of fishes, the idea is still controversial and mainly rests on post-hoc generalizations [17][19]. It is unlikely that a blanket explanation of sex-biased dispersal can explain multiple, if any divergences in the present case. We are limited to speculation at the current time because of the complexities involved with the multi-locus frameworks necessary to answer these questions for several taxonomic pairs or triads. We encourage supplemental analysis involving both population genetic and taxonomic contexts. Although this still needs testing, Zink & Barrowclough [20] found that genetic structure at mitochondrial loci was rarely contradicted by nuclear markers. Moreover, there are ‘names- in-waiting’ for some of the taxa in this study.

1. Centropyge heraldi Yellow Angelfish.

C. woodheadi, a very similar species to the yellow angelfish, was described from Fiji [21], but Randall and Carlson [22] synonymized it with C. heraldi as no diagnostic morphological characters were apparent. However, the present results support the resurrection of C. woodheadi because South Pacific specimens show marked COI divergence from individuals of C. heraldi from the Philippine Sea and the Indian Ocean (Figure 2B).

2 & 3. Chrysiptera spp. Demoiselles.

Two species of Chrysiptera showed allopatric divergence and one of these cases may also reflect inappropriate synonymization. Chrysiptera punctatoperculare [23] was described from the South China Sea, but Allen [24] synonymized it with Chrysiptera cyanea. However, COI divergence between C. cyanea from Indonesian and Australian waters (D. Steinke pers. comm.) and those from the Philippines suggest that C. punctatoperculare is a valid taxon. Individuals of C. starcki from the Philippines and Tonga also differ markedly at COI (Figure 2C), suggesting further overlooked diversity – in this case involving an undescribed demoiselle species.

4. Pseudanthias squamipinnis Sea Goldie.

Widely distributed in the Indo-Pacific, Pseudanthias squamipinnis has a complex taxonomic history being placed, at one time or another, in Anthias [25] and Franzia [26]. Although all variants of this taxon have now been synonymized as P. squamipinnis [27], color pattern differences exist between fishes from different localities [28]. The present barcode results (Figure 2A) suggest that this morphological diversity likely reflects overlooked species, one in the Indian Ocean, a second in the Philippine Sea and a third in the South Pacific.

5 & 6. Valenciennea species Gobies.

The gobies Valenciennea puellaris and V. wardii each show more than 5% sequence divergence between lineages from Sri Lankan and Philippine waters (Figure 2D). Cryptic speciation is not uncommon in gobies [29], [30], and DNA barcoding has already helped reveal overlooked species [31], [32]. The present study has likely revealed two more cases.

7–9. Three Cases of Sympatric Divergence.

The remaining species (Forcipiger flavissimus, Elacatinus evelynae, and Scatophagus argus) were either collected from a single location, or belong to a group with few barcode records. One specimen of F. flavissimus showed 4.86% sequence divergence from the other 7 specimens. This genus contains only two described species and the other taxon (F. longirostris) is barcode divergent from both lineages of F. flavissimus. S. argus from Sri Lanka also showed sympatric divergence with one specimen more than 6% divergent from the other 4 individuals analyzed. Finally, two lineages of the goby E. evelynae with more than 3% sequence divergence were collected at the same locality in the Caribbean Sea. Because our collections included few specimens of these taxa, more samples are needed to draw firmer conclusions on species status.

Cases of Low Inter-specific Variation

Cases where different sympatrically occurring species shared closely similar or identical barcodes were detected in three genera, including three clownfishes (Amphiprion) two butterfly fishes (Chaetodon) and two surgeons (Zebrasoma). Such cases can have three explanations - hybridization, incomplete lineage sorting or over-splitting.

1. Amphiprion Clownfishes.

The genus Amphiprion includes several species with very similar coloration and overlapping variation at otherwise diagnostic morphological characters that make species very difficult to differentiate [33]. The subgenus Phalerebus represents a prime example and it includes three species (A. akallopisos, A. periderarion, A. sandaracinos) which show little, if any, barcode divergence. Molecular clock estimates suggest that A. perideraion and A. sandaracinos diverged from a common ancestor 0.5–1.5 MYA, following an initial separation from A. akallopisos 1.1–4.8 MYA [33], providing enough time for reciprocal monophyly at COI, making incomplete lineage sorting an unlikely explanation for their sequence sharing. However, the three species are widely sympatric on reefs in the south Pacific, meaning that hybridization is a possible explanation for sequence sharing.

2. Chaetodon Butterflyfishes.

C. multicinctus and C. punctatofasciatus are recognized as a young species pair (~250,000 years [34]) making incomplete lineage sorting a likely explanation for their barcode sharing.

3. Zebrasoma.

Sequence sharing by the yellow and brown tang, Z. flavescens and Z. scopas [35] may similarly be due to incomplete lineage sorting. However, it may also reflect a case of over-splitting because some authors view these taxa as color forms of a single species [36].


Fast access to biodiversity information is critical. Rising risks of species extinction linked to over-exploitation of natural resources require accurate, up-to-date information to deliver appropriate action. The DNA barcode library constructed in this study provides a basis for reliable species identifications of nearly half of the species exploited by the aquarium industry, opening new ways to manage commercial practices, and providing an independent means of testing existing taxonomic systems. The aquarium trade targets species having a combination of aesthetic appeal, as well as life history attributes that aid survival in captivity. However, the identification of tropical marine fishes using morphological characters is often difficult and usually requires expert consultation. Collectors, wholesalers and retailers, as well as regulatory control agencies will undoubtedly benefit from identification services available from a comprehensive barcoding framework.

Furthermore, present collection methods, which are often destructive to coral reef habitats through direct disturbance by humans or the use of toxic chemicals [37], [38], are evoking substantial concern. Alternative less invasive methods of capture, such as the collection of larval stage fishes with crest nets [39] are, in part, unpopular because juvenile and larval morphology is often distressingly uniform among species, making reliable identifications elusive. The utility of DNA barcodes, regardless of developmental stage [40], [41], provides an attractive means to obtain species identifications and potentially facilitating non-invasive sampling practices.

Supporting Information

Table S1.

This table shows all specimens listed by taxonomic rank following Nelson (1994) with SampleID, BOLD process ID and GenBank Accession No.


(0.63 MB PDF)

Figure S1.

A neighbour-joining tree of COI sequence divergences (K2P) in all 1638 individuals of this study. Species names, BOLD process ID, Sample ID, sequence length, and numbers of ambiguous bases are given at branch tips.


(1.59 MB PDF)


We thank Katy Hind, Rachel Mador-House, Christa Maitland and Calder Hutchinson for aid with imaging and DNA analyses, and Dan Yanke for assembling specimens. Funding for this study was provided by the Canadian Barcode of Life Network with support from NSERC and Genome Canada through the Ontario Genomics Institute. This study is a contribution of the Marine Barcoding program (MarBOL), an affiliated project of the Census of Marine Life.

Author Contributions

Conceived and designed the experiments: DS TSZ PDNH. Performed the experiments: DS TSZ. Analyzed the data: DS TSZ. Contributed reagents/materials/analysis tools: PDNH. Wrote the paper: DS TSZ PDNH.


  1. 1. FAO (2008) FAO yearbook. Fishery and Aquaculture Statistics.2006. Rome: FAO Fisheries and Aquaculture Information and Statistics Service.
  2. 2. Ward RD, Zemlak TS, Innes BH, Last PR, Hebert PDN (2005) DNA barcoding Australia's fish species. Philosophical Transactions of the Royal Society B-Biological Sciences 360: 1847–1857.
  3. 3. Hubert N, Hanner R, Holm E, Mandrak NE, Taylor E, et al. (2008) Identifying Canadian freshwater fishes through DNA barcodes. PLoS One 3: e2490.
  4. 4. Rock J, Costa FO, Walker DI, North AW, Hutchinson WF, et al. (2008) DNA barcodes of fish of the Scotia Sea, Antarctica indicate priority groups for taxonomic and systematics focus. Antarctic Science 20: 253–262.
  5. 5. Ward RD, Hanner R, Hebert PD (2008) The campaign to DNA barcode all fishes, FISH-BOL. Journal of Fish Biology 73: 1–28.
  6. 6. Ratnasingham S, Hebert PDN (2007) The Barcode of Life Database. Molecular Ecology Notes 7: 355–364.
  7. 7. Ward RD, Costa FO, Holmes BH, Steinke D (2008) DNA barcoding shared fish species from the North Atlantic and Australasia: minimal divergence for most taxa but a likely two species for both Zeus faber and Lepidopus caudatus. Aquatic Biology 3: 71–78.
  8. 8. Zemlak TS, Ward RD, Connell AD, Holmes BH, Hebert PDN (2009) DNA barcoding reveals overlooked marine fishes. Molecular Ecology Resources 9: (Suppl. 1)237–242.
  9. 9. Nelson JS (2006) Fishes of the World. New York: John Wiley and Sons, Inc. 4th Edition.
  10. 10. Steinke D, Hanner R, Hebert PDN (2009) Rapid high-quality imaging of fishes using a flat-bed scanner. Ichthyological Research 56: 210–211.
  11. 11. Ivanova NV, Dewaard JR, Hebert PDN (2006) An inexpensive, automation-friendly protocol for recovering high-quality DNA. Molecular Ecology Notes 6: 998–1002.
  12. 12. Ivanova NV, Zemlak TS, Hanner R, Hebert PDN (2007) Universal primer cocktails for fish DNA barcoding. Molecular Ecology Notes 7: 544–548.
  13. 13. Kimura M (1980) A simple model for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16: 111–120.
  14. 14. Kumar S, Tamura K, Nei M (2004) MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment. Brief Bioinform 5: 150–163.
  15. 15. Hebert PD, Stoeckle MY, Zemlak TS, Francis CM (2004) Identification of Birds through DNA Barcodes. PLoS Biol 2: e312.
  16. 16. Steinke D, Zemlak TS, Boutillier JA, Hebert PDN (2009) DNA barcoding Pacific Canada's fishes. Marine Biology in review.
  17. 17. Hutchings JA, Gerber L (2002) Sex-biased dispersal in a salmonid fish. Proceedings of the Royal Society B-Biological Sciences 269: 2487–2493.
  18. 18. Bekkevold D, Hansen MM, Mensberg KL (2004) Genetic detection of sex-specific dispersal in historical and contemporary populations of anadromous brown trout Salmo trutta. Molecular Ecology 13: 1707–1712.
  19. 19. Cano JM, Makinen HS, Merila J (2008) Genetic evidence for male-biased dispersal in the three-spined stickleback (Gasterosteus aculeatus). Molecular Ecology 17: 3234–3242.
  20. 20. Zink RM, Barrowclough GF (2008) Mitochondrial DNA under siege in phylogeography. Molecular Ecology 17: 2107–2121.
  21. 21. Kuiter RH (1998) A new pygmy angelfish (Teleostoi: Perciformes:Pomacanthidae) from the Coral Sea. Aqua, Journal for Ichthyology and Aquatic Biology 3: 85–88.
  22. 22. Randall JE, Carlson BA (2000) Pygmy angelfish Centropyge woodheadi Kuiter, 1998, a synonym of C. heraldi Woods and Schultz, 1953. Aqua, Journal for Ichthyology and Aquatic Biology 4: 1–4.
  23. 23. Fowler HW (1946) A collection of fishes obtained in the Riu Kiu Islands by Captain Ernest R. Tinkham. AUS Proceedings of the Academy of Natural Sciences of Philadelphia 98: 123–218.
  24. 24. Allen GR (1991) Damselfishes of the world. Damselfishes of the world. Melle, Germany: Mergus Publishers. pp. 1–271.
  25. 25. Bleeker P (1857) Achtste bijdrage tot de kennis der vischfauna van Amboina. Acta Societatis Regiae Scientiarum Indo-Neêrlandicae 2: 1–102.
  26. 26. Jordan DS, Thompson WF (1914) Record of the fishes obtained in Japan in 1911. Memoirs of the Carnegie Museum 6: 205–313, Pls. 224–242.
  27. 27. Randall JE, Pyle RL (2001) Four new serranid fishes of the anthiine genus Pseudanthias from the South Pacific. The Raffles Bulletin of Zoology 49: 19–34.
  28. 28. Froese R, Pauly D (2006) Fishbase. World Wide Web electronic publication.
  29. 29. Berrebi P, Rodriguez P, Tomasini JA, Cattaneo-Berrebi G, A.J. C (2005) Differential distribution of the two cryptic species, Pomatoschistus microps and P. marmoratus, in the lagoons of Southern France, with an emphasis on the genetic organisation of P. microps. Estuarine Coastal and Shelf Science 65: 708–716.
  30. 30. Lima D, Freitas JEP, Araujo ME, Sole-Cava AM (2005) Genetic detection of cryptic species in the frillfin goby Bathygobius soporator. Journal of Experimental Marine Biology and Ecology 320: 211–223.
  31. 31. Victor BC (2008) Redescription of Coryphopterus tortugae (Jordan) and a new allied species Coryphopterus bol (Perciformes: Gobiidae: Gobiinae) from the tropical western Atlantic Ocean. Journal of the Ocean Science Foundation 1: 1–19.
  32. 32. Victor BC (2007) Coryphopterus kuna, a new goby (Perciformes: Gobiidae: Gobiinae) from the western Caribbean, with the identification of the late larval stage and an estimate of the pelagic larval duration. Zootaxa 1526: 51–61.
  33. 33. Timm J, Figiel M, Kochzius M (2008) Contrasting patterns in species boundaries and evolution of anemonefishes (Amphiprioninae, Pomacentridae) in the centre of marine biodiversity. Molecular Phylogenetics and Evolution 49: 268–276.
  34. 34. Fessler JL, Westneat MW (2007) Molecular phylogenetics of the butterflyfishes (Chaetodontidae): Taxonomy and biogeography of a global coral reef fish family. Molecular Phylogenetics and Evolution 45: 50–68.
  35. 35. Guiasu RC, Winterbottom R (1998) Yellow juvenile color pattern, diet switching and the phylogeny of the surgeonfish genus Zebrasoma (Percomorpha, Acanthuridae). Bulletin of Marine Science 63: 277–294.
  36. 36. Barlow GW (1974) Contrasts in social behaviour between Central American cichlid fishes and coral-reef surgeon fishes. American Zoologist 14: 9–34.
  37. 37. Edwards AJ, Shepherd AD (1992) Environmental implications of aquarium fish-collection in Maldives with proposals for regulation. Environmental Conservation 19: 61–72.
  38. 38. Hingo TG, Rivera R (1991) Aquarium fish industry in Philippines: toward development or destruction? ICLARM Conference Proceedings 22: 249–253.
  39. 39. Lecchini D, Polti S, Nakamura Y, Mosconi P, Tsuchiya M, et al. (2006) New perspectives on aquarium fish trade. Fisheries Science 72: 40–47.
  40. 40. Pegg GG, Sinclair B, Briskey L, Aspden WJ (2006) MtDNA barcode identification of fish larvae in the southern Great Barrier Reef, Australia. Scientia Marina 70: 7–12.
  41. 41. Steinke D, Vences M, Salzburger W, Meyer A (2005) TaxI: a software tool for DNA barcoding using distance methods. Philosophical Transactions of the Royal Society B-Biological Sciences 360: 1975–1980.