Fish sperm motility analysis: the central role of the flagellum
Sergii Boryshpolets A , Vitaliy Kholodnyy A , Jacky Cosson A B and Borys Dzyuba A
+ Author Affiliations
- Author Affiliations
A University of South Bohemia in České Budějovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Research Institute of Fish Culture and Hydrobiology, Laboratory of Reproductive Physiology, Zátiší 728/II, 389 25 Vodňany, Czech Republic.
B Corresponding author. Email: jacosson@gmail.com
Reproduction, Fertility and Development 30(6) 833-841 https://doi.org/10.1071/RD17478
Submitted: 9 November 2017 Accepted: 28 February 2018 Published: 13 April 2018
Abstract
Motility analysis of spermatozoa relies on the investigation of either head trajectories or flagellum characteristics. Those two sets of parameters are far from being independent, the flagellum playing the role of motor, whereas the head plays a passive role of cargo. Therefore, quantitative descriptions of head trajectories represent a simplification of the complex pattern of whole sperm cell motion, resulting from the waves developed by the flagellum. The flagellum itself responds to a large variety of signals that precisely control its axoneme to allow activation, acceleration, slowing down or reorientation of the whole spermatozoon. Thus, it is obvious that analysis of flagellum characteristics provides information on the original source of movement and orientation of the sperm cell and presents additional parameters that enrich the panoply of quantitative descriptors of sperm motility. In this review, we briefly describe the methodologies used to obtain good-quality images of fish spermatozoa (head and especially flagellum) while they move fast and the methods developed for their analysis. The paper also aims to establish a link between classical analyses by computer-aided sperm analysis (CASA) and the descriptors generated by fish sperm flagellum analysis, and emphasises the information to be gained regarding motility performance from flagellum motion data.
Additional keywords: axoneme, computer-aided sperm analysis, flagella shape, sperm guidance, spermatozoon movement, video microscopy.
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