Publication details
An evaluation of different discriminative approaches used for discrimination of cryptic
| Authors | |
|---|---|
| Year of publication | 2015 |
| Type | Appeared in Conference without Proceedings |
| MU Faculty or unit | |
| Citation | |
| Description | Present study tackles with various discriminative approaches tested on selected species of highly diverse genus Gyrodactylus von Nordmann, 1832 (Gyrodactylidae) what is presumably group of viviparous ectoparasitic monogeneans of fish. Parasites were collected on cichlids from several distinct localities in Africa but the majority from Lake Chivero, Lake Kariba and River Zambezi in Zimbabwe during 2011 and 2012. Studied individuals form a group of species with same morphological type of main attachment organ hard parts that represent main morphological determination feature within the genus Gyrodactylus. However, morphometric differences within species are small, molecular distances are sufficient for species distinguishing. Exhaustive analyses of minor shape differences facilitated to detect cryptic species differentiated prior by genetic sequences. Thus the suitability and accuracy of varied techniques use-full for species discernment were compared. Various methods such as geometric morphometry, elliptic Fourier, principal component analyses and discriminative cluster analyses were applied on shapes and metrical characters of the hamuli and marginal hooks. Evaluation of the suitability of methods for the detection/distinguishing cryptic species was based on the presumption that species discrimination according to molecular approaches of ribosomal DNA ITS segment is valid. Additionally, phylogenetic relationship between studied species and other Gyrodactylus species collected from cichlids in Africa were estimated using methods Maximum likelihood and Bayesian inference. The results clearly show the significance of the use in molecular confirmation of species identity in standard taxonomy and also the potential of statistical techniques in preliminary species discrimination. |
| Related projects: |