High rate of deformed larvae among gynogenetic brown trout (Salmo truttam. fario) doubled haploids
Krzysztof Jagiełło , Tomasz Zalewski , Stefan Dobosz , Oliwia Michalik , Konrad Ocalewicz
AbstractMitotic gynogenesis results in the production of fully homozygous individuals in a single generation. Since inbred fish were found to exhibit an increased frequency of body deformations that may affect their survival, the main focus of this research was to evaluate the ratio of individuals with spinal deformities among gynogenetic doubled haploids (DHs) brown trout as compared to nonmanipulated heterozygous individuals. Gynogenetic development was induced by the activation of brown trout eggs by UV-irradiated homologous and heterologous (rainbow trout) spermatozoa. The subsequent exposure of the activated eggs to the high hydrostatic pressure disturbed the first cleavage in gynogenetic zygotes and enabled duplication of the maternal haploid set of chromosomes. The survival rate was significantly higher among gynogenetic brown trout hatched from eggs activated with the homologous UV-irradiated spermatozoa when compared to DHs hatched from eggs activated by the heterologous spermatozoa. More than 35% of the gynogenetic larvae exhibited body deformities, mostly lordosis and scoliosis. The percentage of malformed brown trout from the control group did not exceed 15%. The increased number of deformed larvae among DHs brown trout suggested rather a genetic background of the disease related to the fish spine deformities; however, both genetic and environmental factors were discussed as a cause of such conditions in fish.
|Journal series||BioMed Research International, ISSN 2314-6133, e-ISSN 2314-6141 [1110-7251, 2314-6141]|
|Publication size in sheets||0.5|
|License||Journal (articles only); published final; ; with publication|
|Score|| = 25.0, 20-12-2017, ArticleFromJournal|
= 30.0, 20-12-2017, ArticleFromJournal
|Publication indicators||: 2016 = 2.476 (2) - 2016=2.587 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.