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Biodiversity inventory of the grey mullets (Actinopterygii: Mugilidae) of the Indo-Australian Archipelago through the iterative use of DNA-based species delimitation and specimen assignment methods.
Delrieu-Trottin, Erwan; Durand, Jean-Dominique; Limmon, Gino; Sukmono, Tedjo; Sugeha, Hagi Yulia; Chen, Wei-Jen; Busson, Frédéric; Borsa, Philippe; Dahruddin, Hadi; Sauri, Sopian; Fitriana, Yuli; Zein, Mochamad Syamsul Arifin; Hocdé, Régis; Pouyaud, Laurent; Keith, Philippe; Wowor, Daisy; Steinke, Dirk; Hanner, Robert; Hubert, Nicolas.
Affiliation
  • Delrieu-Trottin E; UMR 5554 ISEM (IRD, UM, CNRS, EPHE) Université de Montpellier Montpellier Cedex France.
  • Durand JD; Museum für Naturkunde Leibniz Institute for Evolution and Biodiversity Science Berlin Germany.
  • Limmon G; UMR 9190 MARBEC (IRD, UM, CNRS, IFREMER) Université de Montpellier Montpellier Cedex France.
  • Sukmono T; Maritime and Marine Science Center of Excellence Universitas Pattimura Ambon Indonesia.
  • Kadarusman; Department of Biology Universitas Jambi Jambi Indonesia.
  • Sugeha HY; Politeknik Kelautan dan Perikanan Sorong Kota Sorong Indonesia.
  • Chen WJ; Research Center for Oceanography Indonesian Institute of Sciences Jakarta Indonesia.
  • Busson F; Institute of Oceanography National Taiwan University Taipei Taiwan.
  • Borsa P; UMR 5554 ISEM (IRD, UM, CNRS, EPHE) Université de Montpellier Montpellier Cedex France.
  • Dahruddin H; UMR 7208 BOREA (MNHN, CNRS, UPMC, IRD, UCBN) Muséum National d'Histoire Naturelle Paris Cedex France.
  • Sauri S; UMR 250 ENTROPIE (IRD, UR, UNC, CNRS, IFREMER), Centre IRD-Occitanie Montpellier France.
  • Fitriana Y; UMR 5554 ISEM (IRD, UM, CNRS, EPHE) Université de Montpellier Montpellier Cedex France.
  • Zein MSA; Division of Zoology Research Center for Biology Indonesian Institute of Sciences (LIPI) Cibinong Indonesia.
  • Hocdé R; Division of Zoology Research Center for Biology Indonesian Institute of Sciences (LIPI) Cibinong Indonesia.
  • Pouyaud L; Division of Zoology Research Center for Biology Indonesian Institute of Sciences (LIPI) Cibinong Indonesia.
  • Keith P; Division of Zoology Research Center for Biology Indonesian Institute of Sciences (LIPI) Cibinong Indonesia.
  • Wowor D; UMR 9190 MARBEC (IRD, UM, CNRS, IFREMER) Université de Montpellier Montpellier Cedex France.
  • Steinke D; UMR 5554 ISEM (IRD, UM, CNRS, EPHE) Université de Montpellier Montpellier Cedex France.
  • Hanner R; UMR 7208 BOREA (MNHN, CNRS, UPMC, IRD, UCBN) Muséum National d'Histoire Naturelle Paris Cedex France.
  • Hubert N; Division of Zoology Research Center for Biology Indonesian Institute of Sciences (LIPI) Cibinong Indonesia.
Evol Appl ; 13(6): 1451-1467, 2020 Jul.
Article in En | MEDLINE | ID: mdl-32684969
DNA barcoding opens new perspectives on the way we document biodiversity. Initially proposed to circumvent the limits of morphological characters to assign unknown individuals to known species, DNA barcoding has been used in a wide array of studies where collecting species identity constitutes a crucial step. The assignment of unknowns to knowns assumes that species are already well identified and delineated, making the assignment performed reliable. Here, we used DNA-based species delimitation and specimen assignment methods iteratively to tackle the inventory of the Indo-Australian Archipelago grey mullets, a notorious case of taxonomic complexity that requires DNA-based identification methods considering that traditional morphological identifications are usually not repeatable and sequence mislabeling is common in international sequence repositories. We first revisited a DNA barcode reference library available at the global scale for Mugilidae through different DNA-based species delimitation methods to produce a robust consensus scheme of species delineation. We then used this curated library to assign unknown specimens collected throughout the Indo-Australian Archipelago to known species. A second iteration of OTU delimitation and specimen assignment was then performed. We show the benefits of using species delimitation and specimen assignment methods iteratively to improve the accuracy of specimen identification and propose a workflow to do so.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Evol Appl Year: 2020 Document type: Article Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Evol Appl Year: 2020 Document type: Article Country of publication: Reino Unido