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University of Veterinary Medicine Hannover Foundation

Character-based DNA barcoding allows for integration of geography, ecology and morphology Discovery of a cryptic species complex in dragonflies using CAOS. Sandra Damm & Heike Hadrys University of Veterinary Medicine Hannover ITZ, Ecology & Evolution. University of Veterinary Medicine

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University of Veterinary Medicine Hannover Foundation

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  1. Character-based DNA barcoding allows for integration of geography, ecology and morphology Discovery of a cryptic species complex in dragonflies using CAOS Sandra Damm & Heike Hadrys University of Veterinary Medicine Hannover ITZ, Ecology & Evolution University of Veterinary Medicine Hannover Foundation Biodiversity Transect Analysis in Africa (BMBF)

  2. DNA barcoding • 2 million described species • Estimated number of species: 10-20 million or higher • Estimated extinction rate: 0.25% per year • DNA Barcoding: perfect tool for fast identification • of known species • Discovery of new species – Some problems • Genetic distances variable between species groups • No general threshold possible to diagnose new species

  3. Distance-based barcoding Distance-based DNA barcoding (COI) Genetic distance between the two species: 1.8% Genetic distances between species within this genus: 1.8 – 13% Anaximperator Regardingthe 3% rule No separate species Anaxparthenope

  4. CAOS barcoding Character-based barcoding Species A Species B • Definition of diagnostic characters of CO1 using CAOS (Character Attribute Organization System) (Sakar et al. 2002) • Advantage: • Character matrix could be complemented with additional markers (for Odonates ND1 is highly suitable) • and • with characters of morphology, ecology, geography or others Anaximperator Anaxparthenope

  5. CAOS barcoding Character-based barcoding DNA Morphology Anaximperator Two different species: supported by unambiguous characters of different disciplines Anaxparthenope

  6. Case study – Population genetics Population geneticanalysesin Trithemis stictica • widespread species in southern Africa • permanent water pond with vegetation

  7. Case study – Population genetics T. stictica • Three genetic distinct groups • High genetic distances • No shared haplotypes • Complete genetic isolation • (Fst-values ≥ 0.89) T. spec. nov T. spec. nov Maximum Parsimony tree of ND1 sequences of 108 analysed „T. stictica“ individuals Damm et al. (2010) Molecular Ecology

  8. Are thethreegeneticcladesalready separate species?

  9. Case study – Phylogenetic analyses ND1: 2.2% CO1: 3.3% 16S: 1.2% ITS: 1.0% ND1: 5.0% CO1: 5.7% 16S: 1.1% ITS: 1.0% • Genetic distances at the • species level • Confirmed by four different • sequence markers Bayesian analyses based on 16S, ND1, CO1 and ITS sequences Damm et al. (2010) Molecular Ecology

  10. Case study – Character-based barcoding Pure diagnosticcharacters A A B B Damm et al. (2010) Molecular Ecology

  11. Case study – Character-based barcoding High number of pure diagnostic characters in a pairwise comparison Combination of species specific characters 15 selected nucleotide positions of CO1 to distinguish between seven different Trithemis species Damm et al. (2010) Molecular Ecology

  12. Case study – Morphology Trithemis stictica T. spec. nov. T. spec. nov.

  13. Case study – Morphology Trithemis stictica T. spec. nov. T. spec. nov. • Colouration of the eyes Damm & Hadrys (2009) International Journal of Odonatology

  14. Case study – Morphology Trithemis stictica T. spec. nov. T. spec. nov. • Colouration of the eyes • Colour of the wing basis Damm & Hadrys (2009) International Journal of Odonatology

  15. Case study – Morphology Trithemis stictica T. spec. nov. T. spec. nov. • Significantsizedifferences Damm & Hadrys (2009) International Journal of Odonatology

  16. Case study – Morphology Males secondary genitalia  Reproductive isolation distal segment Damm & Hadrys (2009) International Journal of Odonatology T. spec. nov. T. spec. nov. T. stictica

  17. Case study – Geography Damm et al. (2010) Molecular Ecology

  18. Case study – Geography Capriviregion Damm et al. (2010) Molecular Ecology

  19. Case study – Ecology Trithemis stictica T. spec. nov T. spec. nov • shaded habitat • highlands and natural • sources in mountain • regions Damm et al. (2010) Molecular Ecology

  20. Case study – Ecology Trithemis stictica T. spec. nov T. spec. nov • shaded habitat • highlands and natural • sources in mountain • regions • rivers with galery forest • fast running waters Damm et al. (2010) Molecular Ecology

  21. Case study – Ecology Trithemis stictica T. spec. nov T. spec. nov • shaded habitat • highlands and natural • sources in mountain • regions • rivers with galery forest • fast running waters • open habitat • swamp-like habitat Damm et al. (2010) Molecular Ecology

  22. Case study – Summary Integrative approachforspeciesdiscovery Distance-based DNA barcoding  Two new species Confirmed by High number of diagnostic characters Morphology Reproductive Isolation (directly and indirectly) Ecology Geography Damm et al. (2010) Molecular Ecology

  23. Conclusions Character-based barcoding allows • Identification of known species • Reliable discovery of new species • Comprehensive database by integrating characters of multiple disciplines • Many important information for conserving biodiversity Trithemis stictica Trithemis morrisoni Trithemis palustris Discovery of the first cryptic dragonfly complex in Odonates

  24. Bernd Schierwater • Sabrina Simon • Jessica Rach • Eugene Marais (National Museum of • Namibia, Windhoek) • Michael Samways (University of • Stellenbosch, South Africa) • K.D. Dijkstra • Frank Suhling • Jens Kipping • Viola Clausnitzer • BMBF BIOTA South Acknowledgements

  25. Thank you for your attention!

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