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dc.contributor.authorJordaens, K.
dc.contributor.authorGoergen, Georg E.
dc.contributor.authorVirgilio, M.
dc.contributor.authorBackeljau, B.
dc.contributor.authorVokaer, A.
dc.contributor.authorMeyer, M. de
dc.date.accessioned2019-12-04T10:58:12Z
dc.date.available2019-12-04T10:58:12Z
dc.date.issued2015-10-16
dc.identifier.citationJordaens, K., Goergen, G., Virgilio, M., Backeljau, T., Vokaer, A. & De Meyer, M. (2015). DNA Barcoding to Improve the Taxonomy of the Afrotropical Hoverflies (Insecta: Diptera: Syrphidae). PloS one, 10(10), e0140264.
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/20.500.12478/940
dc.description.abstractThe identification of Afrotropical hoverflies is very difficult because of limited recent taxonomic revisions and the lack of comprehensive identification keys. In order to assist in their identification, and to improve the taxonomy of this group, we constructed a reference dataset of 513 COI barcodes of 90 of the more common nominal species from Ghana, Togo, Benin and Nigeria (W Africa) and added ten publically available COI barcodes from nine nominal Afrotropical species to this (total: 523 COI barcodes; 98 nominal species; 26 genera). The identification accuracy of this dataset was evaluated with three methods (K2P distance-based, Neighbor-Joining (NJ) / Maximum Likelihood (ML) analysis, and using SpeciesIdentifier). Results of the three methods were highly congruent and showed a high identification success. Nine species pairs showed a low (< 0.03) mean interspecific K2P distance that resulted in several incorrect identifications. A high (> 0.03) maximum intraspecific K2P distance was observed in eight species and barcodes of these species not always formed single clusters in the NJ / ML analayses which may indicate the occurrence of cryptic species. Optimal K2P thresholds to differentiate intra- from interspecific K2P divergence were highly different among the three subfamilies (Eristalinae: 0.037, Syrphinae: 0.06, Microdontinae: 0.007–0.02), and among the different general suggesting that optimal thresholds are better defined at the genus level. In addition to providing an alternative identification tool, our study indicates that DNA barcoding improves the taxonomy of Afrotropical hoverflies by selecting (groups of) taxa that deserve further taxonomic study, and by attributing the unknown sex to species for which only one of the sexes is known.
dc.format.extent1-15
dc.language.isoen
dc.subjectSyrphidae
dc.subjectFlowering Plants
dc.subjectPest Control
dc.subjectDna
dc.titleDNA Barcoding to Improve the Taxonomy of the Afrotropical Hoverflies (Insecta: Diptera: Syrphidae)
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationRoyal Museum for Central Africa, Belgium
cg.contributor.affiliationUniversity of Antwerp
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationRoyal Belgian Institute of Natural Sciences
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryBenin
cg.coverage.countryGhana
cg.coverage.countryNigeria
cg.coverage.countryTogo
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectGenetic Improvement
cg.iitasubjectPests Of Plants
cg.journalPLOS ONE
cg.howpublishedFormally Published
cg.accessibilitystatusOpen Access
local.dspaceid76442
cg.identifier.doihttps://dx.doi.org/ 10.1371/journal.pone.0140264


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