Literature DB >> 31273217

A DNA barcode reference library of French Polynesian shore fishes.

Erwan Delrieu-Trottin1,2,3,4, Jeffrey T Williams5, Diane Pitassy6, Amy Driskell7, Nicolas Hubert8, Jérémie Viviani9,10,11, Thomas H Cribb12, Benoit Espiau9,13, René Galzin9,13, Michel Kulbicki14, Thierry Lison de Loma9,13, Christopher Meyer15, Johann Mourier9,13,16, Gérard Mou-Tham14, Valeriano Parravicini9,13, Patrick Plantard9,13, Pierre Sasal9,13, Gilles Siu9,13, Nathalie Tolou9,13, Michel Veuille13,17, Lee Weigt7, Serge Planes18,19.   

Abstract

The emergence of DNA barcoding and metabarcoding opened new ways to study biological diversity, however, the completion of DNA barcode libraries is fundamental for such approaches to succeed. This dataset is a DNA barcode reference library (fragment of Cytochrome Oxydase I gene) for 2,190 specimens representing at least 540 species of shore fishes collected over 10 years at 154 sites across the four volcanic archipelagos of French Polynesia; the Austral, Gambier, Marquesas and Society Islands, a 5,000,000 km2 area. At present, 65% of the known shore fish species of these archipelagoes possess a DNA barcode associated with preserved, photographed, tissue sampled and cataloged specimens, and extensive collection locality data. This dataset represents one of the most comprehensive DNA barcoding efforts for a vertebrate fauna to date. Considering the challenges associated with the conservation of coral reef fishes and the difficulties of accurately identifying species using morphological characters, this publicly available library is expected to be helpful for both authorities and academics in various fields.

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Mesh:

Year:  2019        PMID: 31273217      PMCID: PMC6609690          DOI: 10.1038/s41597-019-0123-5

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


Background & Summary

DNA barcoding aims to identify individuals to the species level by using a short and standardized portion of a gene as a species tag[1]. This standardized procedure has revolutionized how biodiversity can be surveyed as the identification of a species then becomes independent of the level of taxonomic expertise of the collector[2], the life stage of the species[3,4] or the state of conservation of the specimen[5,6]. Due to its large spectrum of potential applications, DNA barcoding has been employed in a large array of scientific fields such as taxonomy[7], biogeography, biodiversity inventories[8] and ecology[9]; but see Hubert and Hanner for a review[10]. In the genomic era, this approach has been successfully applied to the simultaneous identification of multiple samples (i.e. the metabarcoding approach), extending its applications to surveys of whole ecological communities[11], but also monitoring species diet[12,13], identifying the presence of specific species in a region[14], or studying changes in the community through time by sampling environmental DNA[15,16]. By design, DNA barcoding has proved to be fast and accurate, but its accuracy is highly dependent on the completeness of DNA barcode reference libraries. These libraries turn surveys of Operational Taxonomic Units (OTUs) into species surveys through the assignment of species names to OTUs[17,18], hence giving meaning to data for ecologists, evolutionary biologists and stakeholders. Taxonomists increasingly provide DNA barcodes of new species they are describing; but thousands of species of shore fishes still lack this diagnostic molecular marker. In the South Pacific, an early initiative led by the CRIOBE Laboratory was successfully carried out for French Polynesian coral reef fishes at the scale of one island, Moorea (Society Island)[19]. The fish fauna of Moorea’s waters is one of the best known of the region given the historical operation of research laboratories and long term surveys[20,21]. The Moorea project revealed a high level of cryptic diversity in Moorea’s fishes[19] and motivated the CRIOBE Laboratory to extend this biodiversity survey of shore fishes to the remaining islands of French Polynesia. French Polynesia (FP) is a 5,000,000 km2 region located between 7° and 27° South Latitude that constitutes a priority area for conducting a barcoding survey. This region is species rich due to its position at the junction of several biogeographic areas with varying levels of endemism. For example, the Marquesas Islands (northeastern FP) rank as the third highest region of endemism for coral reef fishes in the Indo-Pacific (13.7%[22]). The Austral Islands (southwestern FP) and Gambier Islands (southeastern FP) host numerous southern subtropical endemic species[23-25]. Finally, the Society Islands (western FP) possess the highest species richness (877 species) and the highest number of widespread species in French Polynesia[26]. Here, we present the result of a large-scale effort to DNA barcode the shore fishes in French Polynesia. Conducted between 2008 and 2014, a total of 154 sites were inventoried across these four archipelagoes. Islands of varying ages and topographies were visited ranging from low-lying atolls to high islands surrounded by a barrier reef, or solely fringing reefs. Furthermore, inventories were conducted across different habitats at each island (i.e. sand bank, coral reefs, rubble, rocky, etc.). In total, 2,190 specimens were identified, preserved, photographed, tissue sampled, DNA barcoded and cataloged with extensive metadata to build a library representing at least 540 species, 232 genera and 61 families of fishes (Fig. 1). Merged with previous sampling efforts at Moorea, a total of 3,131 specimens now possess a DNA barcode representing at least 645 nominal species for a coverage of approximately 65% of the known shore fish species diversity of these four archipelagoes. These biodiversity surveys have already resulted in the publication of updated species checklists[22,26] and in the description of 17 new species[27-34]. This comprehensive library for French Polynesia shore fishes will certainly benefit a wide community of users with different interests, ranging from basic to applied science, and including fisheries management, functional ecology, taxonomy and conservation. Furthermore, many newly detected taxa for science are revealed here, along with complete collection data and DNA barcodes, which should facilitate their formal description as new species. While shedding new light on the species diversity of the Pacific region, this publicly available library is expected to fuel the development of DNA barcode libraries in the Pacific Ocean and to provide more accurate results for the growing number of studies using DNA metabarcoding in the Indo-West Pacific.
Fig. 1

Overview of data generation. From collection of specimen to the validation of data generation.

Overview of data generation. From collection of specimen to the validation of data generation.

Methods

Sampling strategy

We explored a diversity of habitats across the four corners of French Polynesia with shallow and deep SCUBA dives (down to 50–55 m) for a total of 154 sampled sites (Fig. 2, Table 1). A total of 2,190 specimens, representing at least 540 species, 232 genera and 61 families (Fig. 3a) have been collected across four archipelagos representing the four corners of French Polynesia (FP), through six scientific expeditions: Marquesas Islands (1) in 2008 at Mohotani and (2) in 2011 at every island of the archipelago aboard the M.V. Braveheart (Clark Bank, Motu One, Hatutaa, Eiao, Motu Iti, Nuku-Hiva, Ua-Huka, Ua-Pou, Fatu-Huku, Hiva-Oa, Tahuata, Fatu-Hiva; 52 sites), (3) in 2010 at Gambier Islands aboard the M.V. Claymore (Mangareva, Taravai, Akamaru, and all along the barrier reef; 53 sites), (4) at Austral Islands in 2013 aboard the Golden Shadow (Raivavae, Tubuai, Rurutu, Rimatara, Maria Islands; 25 sites), (5) at westernmost atolls of the Society Islands in 2014 aboard the M.V. Braveheart (Manuae and Maupiha’a; 20 sites). A sixth scientific expedition took place on Moorea’s deep reefs in 2008 (Society Islands) as a small scale scientific expedition that included the exploration and sampling of some of the deep reefs of Moorea (53 to 56 m depth; 4 sites) (Fig. 2).
Fig. 2

Sampling localities across French Polynesia. The number of sampling sites and the number of specimens collected are displayed for each archipelago. Several sampling localities may be represented by a single dot due to the geographic scale of French Polynesia. Map data: Google, DigitalGlobe.

Table 1

Overview of the dataset.

BOLD projectGeographical locationNo. of specimen collectedNo. of species collectedSampling effort (No. of sampling days/No. of sites)
AUSTRAustral Islands56026312/25
GAMBAGambier Islands70529018/53
MARQMarquesas Islands38618218/41
MOHMarquesas Islands1901075/11
MOOPSociety Islands42274/4
SCILSociety Islands3092138/20

Number of specimens and species collected for each scientific expedition. Sampling effort expressed in number of sampling days and number of sites.

Fig. 3

Species diversity and distribution of genetic distance across the DNA barcode library. (a) Species diversity by family for the four archipelagoes sampled; (b) Distribution of maximum intraspecific distances (K2P, percent); (c) Distribution of nearest neighbor distances (K2P, percent); (d) Relationship between maximum intraspecific and nearest neighbor distances. Points above the diagonal line indicate species with a barcode gap.

Sampling localities across French Polynesia. The number of sampling sites and the number of specimens collected are displayed for each archipelago. Several sampling localities may be represented by a single dot due to the geographic scale of French Polynesia. Map data: Google, DigitalGlobe. Overview of the dataset. Number of specimens and species collected for each scientific expedition. Sampling effort expressed in number of sampling days and number of sites. Species diversity and distribution of genetic distance across the DNA barcode library. (a) Species diversity by family for the four archipelagoes sampled; (b) Distribution of maximum intraspecific distances (K2P, percent); (c) Distribution of nearest neighbor distances (K2P, percent); (d) Relationship between maximum intraspecific and nearest neighbor distances. Points above the diagonal line indicate species with a barcode gap.

Specimen collection

Specimens were captured using rotenone (powdered root of the Derris plant) and spear guns while SCUBA diving. These complementary sampling methods[35] allowed us to sample both the cryptic and small fish fauna as well as the larger specimens of species not susceptible to rotenone collecting. Four individuals per species were collected on average. Fishes were sorted and identified onboard to the species level using identification keys and taxonomic references[23,36] and representative specimens of all species collected were photographed in a fish photo tank to capture fresh color patterns, labeled and tissue sampled for genetic analyses (fin clip or muscle biopsies preserved in 96% ethanol). The photographed/sampled voucher specimens were preserved in 10% formalin (3.7% formaldehyde solution) and later transferred into 75% ethanol for permanent archival storage. Preserved voucher specimens and tissues were deposited and cataloged into the fish collection at the Museum Support Center, National Museum of Natural History, Smithsonian Institution, Suitland, Maryland, USA. Nomenclature follows Randall[23] and we followed recent taxonomic changes using the California Academy of Sciences Online Eschmeyer’s Catalog of Fishes[37].

DNA barcode sequencing

We extracted whole genomic DNA using QIAxtractor (QIAGEN, Crawley) and Autogen AutoGenPrep 965 according to manufacturer’s protocols. A 655 bp fragment of the cytochrome oxidase I gene (COI) was amplified using Fish COI primers FISHCOILBC (TCAACYAATCAYAAAGATATYGGCAC) and FISHCOIHBC (ACTTCYGGGTGRCCRAARAATCA) and Polymerase Chain Reaction (PCR) and Sanger sequencing protocols as in Weigt et al.[38]. PCR products were Sanger sequenced bidirectionally and run on an ABI3730XL in the Laboratories of Analytical Biology (National Museum of Natural History, Smithsonian Institution). Sequences were edited using Sequencher 5.4 (Gene Codes) and aligned with Clustal W as implemented in Barcode Of Life Datasystem (BOLD, http://www.boldsystems.org). Alignments were unambiguous with no indels or frameshift mutations. A total of 2,190 DNA barcodes have been generated.

Specimen identification

All morphological identifications were revised as needed after the specimens were deposited in the archival specimen collection to confirm initial identifications made in the field. Specimens of specific groups like Antennaridae, Bythitidae, Chlopsidae or Muraenidae were revised by additional taxonomist specialists (David Smith, John McCosker, Leslie W. Knapp, Werner Schwarzhans). After the morphological identification, we used the Taxon-ID Tree tool and Barcode Index Numbers (BIN) discordance tools as implemented in the Sequence Analysis module of BOLD to check every identification using the DNA barcodes generated. The Taxon-ID tool consists of the construction of a neighbor-joining (NJ) tree using K2P (Kimura 2 Parameter) distances by BOLD to provide a graphic representation of the species divergence[39]. The BIN discordance tool uses the Refined Single Linkage algorithm (RESL[40]) to provide a total number of OTUs.

Data Records

This library is composed of three main components: (1) voucher specimens archived in the national fish collection at the Smithsonian Institution (Washington, DC), which were photographed in the field, (2) complete collection data associated with each voucher specimen, and (3) DNA barcodes (Fig. 1). All photographs, voucher collection numbers, DNA barcodes and collection data are publicly available in BOLD[41] in the Container INDOF “Fish of French Polynesia” or by scientific expedition (“AUSTR”, “GAMBA”, “MARQ”, “MOH”, “MOOP” and “SCILL”) and in Figshare[42]. DNA barcodes have also been made available in GenBank, and have accessions KC567661[43] to KC567663[44], KC684990[45], KC684991[46], KU905709[47] to KU905727[48], KY570698[49], KY570703[50] to KY570705[51], KY570708[52], KY683549[53], MH707846[54] to MH707881[55], MK566774[56] to MK567153[57], MK656969[58] to MK658713[59] and this database is accessible through the CRIOBE portal (http://fishbardb.criobe.pf). The library fulfills the BARCODE data standard[60,61] which requires: 1) Species name, 2) Voucher data, 3) Collection data, 4) Identifier of the specimen, 5) COI sequence of at least 500 bp, 6) PCR primers used to generate the amplicon, 7) Trace files. In BOLD, each record in a project represents a voucher specimen with its photographs, voucher collection numbers, associated sequences and extensive collection data related to (1) the Voucher: Sample ID, Field ID, Museum ID, Institution Storing; (2) the Taxonomy: Phylum, Class, Order, Family, Subfamily, Genus, species, Identifier, Identifier E-mail, Taxonomy Notes; (3) Specimen Details: Sex, Reproduction, Life Stage, FAO Zone, Notes such as sizes of the specimens, Voucher Status, and (4) Collection Data: Collectors, Collection Date, Continent, Country/Ocean*, State/Province, Region, Sector, Exact Site, GPS Coordinates, Elevation, Depth, Depth Precision, GPS Source, and Collection Notes[42].

Technical Validation

To test the robustness of our library, we first computed the distribution of the interspecific and intraspecific variability for all the described species (Fig. 3b–d). We found that there is little to no overlap in the distribution of divergence within and between species for the vast majority of the species identified morphologically (mean intra-specific divergence 0.66, min: 0.00, max: 21.56; mean inter-specific divergence 12.28, min: 0.00, max: 24.01). The RESL algorithm identified more BINs (617) than nominal species identified morphologically (540). The morphological reexamination of specimens in light of these results suggest that 65 taxa could be new species for science awaiting a formal description (Online-only Table 1) as they are morphologically distinguishable from other species and possess unique BIN numbers. Taxonomic paraphyly (i.e. potentially cryptic species) has been found for 18 additional species (Table 2) as they are divided in 37 different BINs, while no morphological character has been found so far to distinguish them. Finally, mixed genealogies between sister-species were observed for 17 species (Table 3), mostly between some of the Marquesan endemics and their closest relatives that are not currently observed in the Marquesas Islands. Considering the maternal inheritance of the mitochondrial genes and the very shallow genealogies involved (maximum K2P genetic distances lower than 2%), both incomplete lineage sorting and past introgressive hybridization might be responsible of the mixing of species genealogies in those 17 cases. In summary, 94% of the BINs match species identified using morphological characters, meaning that it was possible to successfully identify a species using DNA barcodes in 94% of the cases.
Online-only Table 1

Potential new species detected in the dataset.

Sample IDFamilyGenusSpeciesNo. of specimens
AUST-419Antennariidae Antennatus sp11
AUST-570, GAM-355Antennariidae Antennatus sp22
MARQ-022, MOH-087Antennariidae Antennatus sp32
SCIL-293Antennariidae Antennatus sp41
MARQ-105, MARQ-106, MARQ-107Apogonidae Fowleria sp3
MARQ-380, MARQ-381, MOH-068Apogonidae Gymnapogon sp3
AUST-142, AUST-143Apogonidae Pseudamiops sp2
AUST-470, AUST-471Apogonidae Siphamia sp2
MARQ-177, MARQ-208, MOH-040Blenniidae Blenniella sp3
AUST-242, GAM-791, GAM-792, MARQ-139, MARQ-140Blenniidae Cirripectes sp 5
GAM-278, GAM-279, SCIL-017, SCIL-021, SCIL-058, SCIL-288, SCIL-322Blenniidae Enchelyurus sp 7
AUST-407, AUST-408, AUST-409Blenniidae Entomacrodus sp3
MARQ-184, MARQ-187, MARQ-378, MARQ-379Blenniidae Rhabdoblennius sp4
MOOP-028Chlopsidae Kaupichthys sp1
AUST-600Congridae Ariosoma sp11
MARQ-318Congridae Ariosoma sp21
MARQ-314, MARQ-315, MARQ-316Congridae Gnathophis sp3
MARQ-397, MOH-062Creediidae Chalixodytes sp1
AUST-427, AUST-538, AUST-539Creediidae Crystallodytes sp 3
AUST-413Gobiesocidae NA sp1
AUST-159, AUST-305Gobiesocidae Pherallodus sp12
AUST-532, AUST-533, AUST-534Gobiesocidae Propherallodus sp3
AUST-082Gobiidae Bryaninops sp1
GAM-374, GAM-375Gobiidae Cabillus sp2
MARQ-430, MOH-129, MOH-211Gobiidae Callogobius sp3
AUST-303, GAM-379Gobiidae Eviota sp11
GAM-697Gobiidae Eviota sp21
SCIL-038Gobiidae Eviota sp31
AUST-346, AUST-347Gobiidae Gobiodon sp2
MARQ-097, MARQ-098Gobiidae Gobiodon sp2
SCIL-240Gobiidae Gobiodon sp1
AUST-566, AUST-567, AUST-568, GAM-364Gobiidae Paragobiodon sp4
MARQ-363, MARQ-364, MARQ-365Gobiidae Pleurosicya sp13
MOOP-007Gobiidae Pleurosicya sp21
SCIL-237Gobiidae Priolepis sp1
AUST-032Gobiidae Silhouettea sp1
MOOP-047Gobiidae Sueviota sp1
AUST-446Gobiidae Trimma sp11
MARQ-435, MARQ-436Gobiidae Trimma sp22
GAM-32Gobiidae Trimmatom sp11
GAM-33Gobiidae Trimmatom sp21
MOOP-002Gobiidae Trimmatom sp31
AUST-423, AUST-424, AUST-425, AUST-544Isonidae Iso sp14
GAM-521, GAM-522Isonidae Iso sp22
MOH-079Lethrinidae Gymnocranius sp1
AUST-383, GAM-176, GAM-177, GAM-178, MOH-200, SCIL-299Moringuidae Moringua sp16
SCIL-300Moringuidae Moringua sp21
MARQ-505Muraenidae Gymnothorax sp11
SCIL-335Muraenidae Gymnothorax sp21
AUST-573, GAM-709Ophidiidae Brotula sp2
AUST-297, AUST-298, AUST-299, AUST-300, GAM-761Pempheridae Pempheris sp15
MARQ-063, MARQ-165, MARQ-166, MARQ-167, MARQ-276, MARQ-382, MOH-178, MOH-179Pempheridae Pempheris sp28
AUST-308, AUST-309, AUST-310, AUST-311Pomacentridae Stegastes sp4
MOOP-018, MOOP-019, MOOP-034, MOOP-035Pseudochromidae Lubbockichthys sp4
GAM-599, GAM-600Scorpaenidae Scorpaenodes sp12
MOH-137, MOH-151Scorpaenidae Scorpaenodes sp22
GAM-56, GAM-569, GAM-574, GAM-58Scorpaenidae Sebastapistes sp14
MARQ-328, SCIL-114Scorpaenidae Sebastapistes sp21
MARQ-046, MOH-027Syngnathidae Doryrhamphus sp1
MARQ-321Synodontidae Synodus sp1
AUST-011, AUST-048Tripterygiidae Enneapterygius sp11
AUST-360, AUST-057, AUST-058, AUST-059Tripterygiidae Enneapterygius sp24
GAM-68, GAM-69, GAM-123, GAM-124, GAM-125Tripterygiidae Enneapterygius sp33
GAM-002Tripterygiidae Enneapterygius sp41
SCIL-112, SCIL-133, SCIL-156Tripterygiidae Enneapterygius sp53

Specimens which were identified only to the genus level and which represent potentially new species waiting to be described. Number of specimens included in each Barcode Index Number (BIN).

Table 2

Potential cryptic species.

BINsTaxaNo. of specimens
BOLD:AAF8427 Apogon crassiceps 2
BOLD:ABW7007 Apogon crassiceps 4
BOLD:ACE7901 Apogon crassiceps 1
BOLD:ACX1964 Apogon doryssa 1
BOLD:ABW8494 Apogon doryssa 2
BOLD:AAF5636 Aporops bilinearis 1
BOLD:AAF5637 Aporops bilinearis 4
BOLD:AAD2580 Centropyge flavissima 2
BOLD:AAD9019 Centropyge flavissima 6
BOLD:ACD1956 Fusigobius duospilus 5
BOLD:AAD1050 Fusigobius duospilus 1
BOLD:AAA6306 Gnatholepis cauerensis 9
BOLD:AAC6155 Gnatholepis cauerensis 5
BOLD:ACC5235 Gymnothorax melatremus 3
BOLD:AAC8364 Gymnothorax melatremus 5
BOLD:AAF0704 Leiuranus semicinctus 3
BOLD:AAL6561 Leiuranus semicinctus 2
BOLD:ACD1820 Myrophis microchir 1
BOLD:AAE0976 Myrophis microchir 2
BOLD:AAB3862 Parupeneus multifasciatus 6
BOLD:ACD1989 Parupeneus multifasciatus 3
BOLD:ACD1988 Priolepis triops 3
BOLD:AAX7961 Priolepis triops 1
BOLD:AAB4082 Pristiapogon kallopterus 1
BOLD:ABZ7996 Pristiapogon kallopterus 7
BOLD:ACC5180 Pseudocheilinus octotaenia 10
BOLD:AAD3038 Pseudocheilinus octotaenia 9
BOLD:AAB4821 Pterocaesio tile 4
BOLD:ACK9118 Pterocaesio tile 1
BOLD:ACP9778 Scolecenchelys gymnota 1
BOLD:AAJ8783 Scolecenchelys gymnota 2
BOLD:AAC7090 Stegastes fasciolatus 11
BOLD:ABZ0285 Stegastes fasciolatus 2
BOLD:ACC5053 Uropterygius kamar 1
BOLD:ACC5109 Uropterygius kamar 1
BOLD:ACD1642 Uropterygius macrocephalus 1
BOLD:AAU1965 Uropterygius macrocephalus 2

Species with number of specimens collected displaying taxonomic paraphyly most likely representing undescribed cryptic species. Sample ID includes sampling location (AUST: Austral Islands, GAMB: Gambier Islands, MARQ and MOH: Marquesas Islands, SCIL and MOOP: Society Islands).

Table 3

Species displaying either incomplete lineage sorting or shallow inter-species divergence.

FamilySpeciesMean Intra-SpMax Intra-SpNearest NeighbourNearest SpeciesDistance to NN
Acanthuridae Acanthurus reversus 0.080.15AUSTR453-13 Acanthurus olivaceus 0
Holocentridae Myripristis earlei 0.280.62SCILL065-15 Myripristis berndti 0
Monacanthidae Pervagor marginalis 0.360.62SCILL083-15 Pervagor aspricaudus 0
Tetraodontidae Canthigaster criobe 00MOH030-16 Canthigaster janthinoptera 0
Mullidae Mulloidichthys mimicus 0.520.52AUSTR089-13 Mulloidichthys vanicolensis 0.17
Pomacentridae Chromis abrupta 00SCILL209-15 Chromis margaritifer 0.31
Labridae Coris marquesensis 00SCILL040-15 Coris gaimard 0.46
Apogonidae Ostorhinchus relativus N/A0SCILL142-15 Ostorhinchus angustatus 0.93
Tetraodontidae Canthigaster rapaensis 0.210.31MARQ456-12 Canthigaster marquesensis 1.1
Pomacentridae Abudefduf conformis 0.150.15GAMBA844-12 Abudefduf sexfasciatus 1.24
Monacanthidae Cantherhines nukuhiva 0.150.31GAMBA711-12 Cantherhines sandwichiensis 1.4
Pomacentridae Plectroglyphidodon sagmarius 0.080.15AUSTR222-13 Plectroglyphidodon imparipennis 1.56
Holocentridae Sargocentron caudimaculatum 0.681.1SCILL104-15 Sargocentron tiere 1.57
Acanthuridae Zebrasoma rostratum 00AUSTR376-13 Zebrasoma scopas 1.72
Apogonidae Apogon marquesensis 0.230.31GAMBA657-12 Apogon susanae 1.88
Chaetodontidae Chaetodon flavirostris 0.080.15SCILL269-15 Chaetodon lunula 1.88
Chaetodontidae Chaetodon lunula 0.10.15GAMBA555-12 Chaetodon flavirostris 1.88

Mean and Maximum intra-Species distances (Mean Intra-Sp and Max Intra-Sp), and Kimura 2 Parameter distances from the Nearest Neighbour (NN).

Potential cryptic species. Species with number of specimens collected displaying taxonomic paraphyly most likely representing undescribed cryptic species. Sample ID includes sampling location (AUST: Austral Islands, GAMB: Gambier Islands, MARQ and MOH: Marquesas Islands, SCIL and MOOP: Society Islands). Species displaying either incomplete lineage sorting or shallow inter-species divergence. Mean and Maximum intra-Species distances (Mean Intra-Sp and Max Intra-Sp), and Kimura 2 Parameter distances from the Nearest Neighbour (NN).

Usage Notes

This Barcode release dataset is freely available to use in barcoding or metabarcoding surveys for specimen identification. Several approaches can be considered: directly downloading the sequences in fasta format, and working offline by merging this dataset with an ongoing barcoding project; working online, through the BOLD website (registration is free), and merging the Container INDOF “Fish of French Polynesia” or parts of the scientific expeditions (Table 1) with an ongoing BOLD project; through online identification tools, as data are indexed in both BOLD and Genbank databases. This library will be considered when any queries of molecular identification will be made through the identification engine of BOLD (http://www.boldsystems.org/index.php/IDS-OpenIdEngine) or the standard nucleotide Basic Local Alignment Search Tool (BLAST, https://blast.ncbi.nlm.nih.gov/). In the same manner, this dataset should also be indexed in the MIDORI database[62,63]. Composed of both endemic and widespread species, this library is expected to benefit a large community from academics to authorities who use molecular data to monitor and survey biodiversity.

ISA-Tab metadata file

Download metadata file
Design Type(s)population data analysis objective • biodiversity assessment objective
Measurement Type(s)fish
Technology Type(s)taxonomic diversity assessment by targeted gene survey
Factor Type(s)Species • geographic location
Sample Characteristic(s)Actinopterygii • French Polynesia • ocean biome
  27 in total

1.  DNA barcoding fishes.

Authors:  Lee A Weigt; Amy C Driskell; Carole C Baldwin; Andrea Ormos
Journal:  Methods Mol Biol       Date:  2012

2.  Two new fish species of the subfamily Anthiinae (Perciformes, Serranidae) from the Marquesas.

Authors:  Jeffrey T Williams; Erwan Delrieu-Trottin; Serge Planes
Journal:  Zootaxa       Date:  2013       Impact factor: 1.091

3.  Identifying coral reef fish larvae through DNA barcoding: a test case with the families Acanthuridae and Holocentridae.

Authors:  Nicolas Hubert; Erwan Delrieu-Trottin; Jean-Olivier Irisson; Christopher Meyer; Serge Planes
Journal:  Mol Phylogenet Evol       Date:  2010-02-25       Impact factor: 4.286

4.  A review of the finless snake eels of the genus Apterichtus (Anguilliformes: Ophichthidae), with the description of five new species.

Authors:  John E Mccosker; Yusuke Hibino
Journal:  Zootaxa       Date:  2015-03-30       Impact factor: 1.091

5.  DNA barcoding largely supports 250 years of classical taxonomy: identifications for Central European bees (Hymenoptera, Apoidea partim).

Authors:  Stefan Schmidt; Christian Schmid-Egger; Jérôme Morinière; Gerhard Haszprunar; Paul D N Hebert
Journal:  Mol Ecol Resour       Date:  2015-01-15       Impact factor: 7.090

6.  Taxonomy anarchy hampers conservation.

Authors:  Stephen T Garnett; Les Christidis
Journal:  Nature       Date:  2017-05-31       Impact factor: 49.962

7.  Macropharyngodon pakoko, a new species of wrasse (Teleostei: Labridae) endemic to the Marquesas Islands, French Polynesia.

Authors:  Erwan Delrieu-Trottin; Jeffrey T Williams; Serge Planes
Journal:  Zootaxa       Date:  2014-08-29       Impact factor: 1.091

8.  Understanding the Spatio-Temporal Response of Coral Reef Fish Communities to Natural Disturbances: Insights from Beta-Diversity Decomposition.

Authors:  Thomas Lamy; Pierre Legendre; Yannick Chancerelle; Gilles Siu; Joachim Claudet
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

9.  Metazoan mitochondrial gene sequence reference datasets for taxonomic assignment of environmental samples.

Authors:  Ryuji J Machida; Matthieu Leray; Shian-Lei Ho; Nancy Knowlton
Journal:  Sci Data       Date:  2017-03-14       Impact factor: 6.444

10.  MIDORI server: a webserver for taxonomic assignment of unknown metazoan mitochondrial-encoded sequences using a curated database.

Authors:  Matthieu Leray; Shian-Lei Ho; I-Jeng Lin; Ryuji J Machida
Journal:  Bioinformatics       Date:  2018-11-01       Impact factor: 6.937

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  3 in total

1.  Large-scale DNA barcoding of the subfamily Culterinae (Cypriniformes: Xenocyprididae) in East Asia unveils a geographical scale effect, taxonomic warnings and cryptic diversity.

Authors:  Weitao Chen; Nicolas Hubert; Yuefei Li; Denggao Xiang; Xingwei Cai; Shuli Zhu; Jiping Yang; Chuanjiang Zhou; Xinhui Li; Jie Li
Journal:  Mol Ecol       Date:  2022-06-12       Impact factor: 6.622

2.  Saint Peter and Saint Paul Archipelago barcoded: Fish diversity in the remoteness and DNA barcodes reference library for metabarcoding monitoring.

Authors:  Marcelo Merten Cruz; Lilian Sander Hoffmann; Thales R O de Freitas
Journal:  Genet Mol Biol       Date:  2022-10-03       Impact factor: 2.087

3.  A taxonomic and molecular survey of the pteridophytes of the Nectandra Cloud Forest Reserve, Costa Rica.

Authors:  Joel H Nitta; Atsushi Ebihara; Alan R Smith
Journal:  PLoS One       Date:  2020-11-18       Impact factor: 3.240

  3 in total

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