Haptoral hard part variability in Gyrodactylus teuchis Lautraite, Blanc, Thiery, Daniel & Vigneulle, 1999 (Monopisthocotyla: Gyrodactylidae) parasitizing cage-reared rainbow trout in Karelia

Capa

Citar

Texto integral

Acesso aberto Acesso aberto
Acesso é fechado Acesso está concedido
Acesso é fechado Somente assinantes

Resumo

Variability of the marginal hooks of Gyrodactylus teuchis parasitizing rainbow trout Oncorhynchus mykiss (Walbaum, 1792) was studied in cage farms situated in water bodies of the Baltic and White Sea drainage basins. Differences between groups proved to be predicated on two characters – marginal hook total length (MHTL) and marginal hook sickle length (MHSL). The probability of correctly identifying a specimen as belonging to the White Sea or Baltic group relying on the discriminant function based on these predictors is 98.6%. Meanwhile, when the function was tested on the worms whose samples were not involved in discriminant analysis, its predictions were correct only in 73% cases. These results indicate substantial intraspecific variability in the above mentioned characters in G. teuchis.

Texto integral

Acesso é fechado

Sobre autores

A. Parshukov

Institute of Biology of the Karelian Research Centre Russian Academy of Sciences

Autor responsável pela correspondência
Email: aleksey.nik.parshukov@gmail.com
Rússia, Pushkinskaya Street 11, Petrozavodsk, 185910

V. Gorbach

Petrozavodsk State University

Email: aleksey.nik.parshukov@gmail.com
Rússia, Petrozavodsk, 185910

E. Ieshko

Institute of Biology of the Karelian Research Centre Russian Academy of Sciences

Email: aleksey.nik.parshukov@gmail.com
Rússia, Pushkinskaya Street 11, Petrozavodsk, 185910

Bibliografia

  1. Bykhovskaya-Pavlovskaya I.E. 1985. Parazity ryb. Rukovodstvo po izucheniyu (Fish Parasites: Manual). Leningrad: Nauka, 121 pp. (in Russian).
  2. Cunningham C., Mo T., Collins C., Buchmann K., Thiery R., Blanc G., Lautraite A. 2001. Redescription of Gyrodactylus teuchis Lautraite, Blanc, Thiery, Daniel & Vigneulle, 1999 (Monogenea: Gyrodactylidae); a species identified by ribosomal RNA sequence. Syst. Parasitol. 48: 141–150. https://doi.org/10.1023/A:1006407428666.
  3. Ergens R. 1976. Variability of hard parts of opisthaptor of two species of Gyrodactylus Nordmann, 1832 (Monogenoidea) from Phoxinus phoxinus (L.). Folia Parasitologica 23: 111–126. PMID: 1278817.
  4. Ergens R. 1985. Order Gyrodactylidea Bychowsky, 1937. In: Bauer O.N. (Ed.) [Key to the parasites of freshwater fish of the fauna of the USSR. 2. Parasitic metazoans. Part 1.] Leningrad: Nauka. P. 269–347. (In Russian).
  5. Hahn C., Bakke T., Bachmann L., Weiss S., Harris P. 2011. Morphometric and molecular characterization of Gyrodactylus teuchis Lautraite, Blanc, Thiery, Daniel & Vigneulle, 1999 (Monogenea: Gyrodactylidae) from an Austrian brown trout population. Parasitol Int. 60(4): 480–7. https://doi.org/10.1016/j.parint.2011.08.016.
  6. Harris P., Shinn A., Cable J., Bakke T. 2004. Nominal species of the genus Gyrodactylus von Nordmann 1832 (Monogenea: Gyrodactylidae), with a list of principal host species. Syst Parasitol 59: 1–27. https://doi.org/10.1023/B:SYPA.0000038447.52015.e4.
  7. Kulemina I.V. 1977. Size variability of the adhesive elements in some species of Gyrodactylus. In Investigations of monogeneans in the USSR, O.A. Skarlato (ed.). English translation, Oxonian Press Pvt. Ltd., New Delhi, India. P. 34–37.
  8. Mo T.A. 1991a. Seasonal variations of opisthaptoral hard parts of Gyrodactylus salaris Malmberg, 1957 (Monogenea: Gyrodactylidae) on parr of Atlantic salmon Salmo salar L. in the River Batnfjordselva, Norway. Syst. Parasitol. 19: 231–240.
  9. Mo T.A. 1991b. Variations of opisthaptoral hard parts of Gyrodactylus salaris Malmberg, 1957 (Monogenea: Gyrodactylidae) on rainbow trout Oncorhynchus mykiss (Walbaum, 1792) in a fish farm, with comments on the spreading of the parasite in south-eastern Norway. Syst. Parasitol. 20: 1–9.
  10. Mo T.A. 1991c. Variations of opisthaptoral hard parts of Gyrodactylus salaris Malmberg, 1957 (Monogenea: Gyrodactylidae) on parr of Atlantic salmon Salmo salar L. in laboratory experiments. Syst. Parasitol. 20: 11–19.
  11. R Core Team (2024) R: a language and environment for statistical computing. R version 4.4.0 (2024–04–24). R Foundation for Statistical Computing, Vienna. Available online: http://www.r-project.org/.
  12. Ripley B., Venables B., Bates D.M., Hornik K., Gebhardt A., Firth D. 2024. Package ‘MASS’ version 7.3–61. Support Functions and Datasets for Venables and Ripley’s MASS, 2024–06–13. https://cran.r-project.org/web/packages/MASS/index.Html.
  13. Roever C., Raabe N., Luebke K., Ligges U., Szepannek G., Zentgraf M., Meyer D. 2023. Package ‘klaR’ version 1.7–3. Classification and Visualization, 2023–12–13. https://cran.r-project.org/web/packages/klaR/klaR.pdf.
  14. Rokicka M., Lumme J., Ziętara M. 2007. Identification of Gyrodactylus ectoparasites in Polish salmonid farms by PCRRFLP of the nuclear ITS segment of ribosomal DNA (Monogenea, Gyrodactylidae). Acta Parasitol. 52: 185–195. https://doi.org/10.2478/s11686-007-0032-1.
  15. da Silva A.R. 2022. Package ‘biotools’ version 4.2. Tools for Biometry and Applied Statistics in Agricultural Science, 2021–08–26. https://cran.r-project.org/web/packages/biotools/biotools.pdf.
  16. Shinn A., Hansen H., Olstad K., Bachmann L., Bakke T. 2004. The use of morphometric characters to discriminate specimens of laboratory-reared and wild populations of Gyrodactylus salaris and G. thymalli (Monogenea). Folia Parasitol. 51(2–3): 239–252. https://doi.org/10.14411/fp.2004.029.

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML
2. Fig. 1. Transgression of the frequency distributions of the morphological characters that predict the discriminant function Z: 1 – Baltic Sea basin, 2 – White Sea basin.

Baixar (101KB)
3. Fig. 2. Distribution of the discriminant function Z values for G. teuchis from water bodies in the Baltic (1) and White (2) Sea drainage basins. Deviation from normality is insignificant (Shapiro–Wilk test: W < 0.939, p > 0.225). Red line marks the threshold value (correct prediction probability P ~ 96.4%, see also text).

Baixar (68KB)

Declaração de direitos autorais © Russian Academy of Sciences, 2025