Polyphasic approach applying artificial neural networks, molecular analysis and postabdomen morphology to West Palaearctic Tachina spp. (Diptera, Tachinidae)
| Authors | |
|---|---|
| Year of publication | 2011 |
| Type | Article in Periodical |
| Magazine / Source | Bulletin of Entomological Research, doi:10.1017/S0007485310000295 |
| MU Faculty or unit | |
| Citation | |
| Field | Zoology |
| Keywords | ANN; artificial neural networks; molecular markers CO I Cyt b 12S 16S rDNA male postabdomen species identification; polyphasic taxonomy; Diptera; Tachinidae; Tachina ; parasitoids |
| Description | ANN methodology, molecular analyses of CO I, Cyt b, 12S and 16S rDNA and morphology were used in parallel for the genus Tachina Meigen, 1803. All three approaches resolved taxonomic doubts with identical results: case 1, the four presently recognized subgenera were confirmed and the description of a new subgenus was recommended; case 2, the validity of a new boreo-alpine species (sp.n.) was confirmed; case 3, the previously supposed presence of T. casta (Rondani, 1859) in central Europe was not supported; case 4, West Palaearctic T. nupta (Rondani, 1859) was contrasted with East Palaearctic specimens, which seem to represent a valid species, case 5, T. nigrohirta (Stein, 1924) resurrected recently from synonymy with T. ursina Meigen, 1824 was confirmed as a valid species. This parallel application has enabled the principle of polyphasic taxonomy to be tested and verified using these separate results. For the first time, the value of ANN approach was justified by two non-mathematical methods. |
| Related projects: |