Comparison of sperm motility subpopulation structure among wild anadromous and farmed male Atlantic salmon (Salmo salar) parr using a CASA system
Carina Caldeira A B E , Almudena García-Molina A , Anthony Valverde B C , Daznia Bompart A , Megan Hassane B , Patrick Martin D and Carles Soler A B
+ Author Affiliations
- Author Affiliations
A PROISER R+D, Av. Catedrático Agustín Escardino, 9, Building 3 (CUE), Floor 1, 46980 Paterna, Spain.
B University of Valencia, Faculty of Biological Sciences, Campus Burjassot, C/ Dr Moliner 50, 46100 Burjassot, Spain.
C Technological Institute of Costa Rica, San Carlos Campus, School of Agronomy, 223-21001 Alajuela, Costa Rica.
D Conservatoire National du Saumon Sauvage, Larma, 43 300 Chanteuges, France.
E Corresponding author. Email: carina.caldeira@proiser.com
Reproduction, Fertility and Development 30(6) 897-906 https://doi.org/10.1071/RD17466
Submitted: 31 October 2017 Accepted: 17 January 2018 Published: 13 April 2018
Journal Compilation © CSIRO 2018 Open Access CC BY-NC-ND
Abstract
Atlantic salmon (Salmo salar) is an endangered freshwater species that needs help to recover its wild stocks. However, the priority in aquaculture is to obtain successful fertilisation and genetic variability to secure the revival of the species. The aims of the present work were to study sperm subpopulation structure and motility patterns in wild anadromous males and farmed male Atlantic salmon parr. Salmon sperm samples were collected from wild anadromous salmon (WS) and two generations of farmed parr males. Sperm samples were collected from sexually mature males and sperm motility was analysed at different times after activation (5 and 35 s). Differences among the three groups were analysed using statistical techniques based on Cluster analysis the Bayesian method. Atlantic salmon were found to have three sperm subpopulations, and the spermatozoa in ejaculates of mature farmed parr males had a higher velocity and larger size than those of WS males. This could be an adaptation to high sperm competition because salmonid species are naturally adapted to this process. Motility analysis enables us to identify sperm subpopulations, and it may be useful to correlate these sperm subpopulations with fertilisation ability to test whether faster-swimming spermatozoa have a higher probability of success.
Additional keywords: Bayesian method, CASA-Mot system.
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