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Life cycle traits of two transatlantic populations of Eurytemora affinis (Copepoda: Calanoida): salinity effects

Identifieur interne : 000B57 ( Main/Exploration ); précédent : 000B56; suivant : 000B58

Life cycle traits of two transatlantic populations of Eurytemora affinis (Copepoda: Calanoida): salinity effects

Auteurs : Delphine Beyrend-Dur [France, République populaire de Chine] ; Sami Souissi [France] ; David Devreker [France, États-Unis] ; Gesche Winkler [Canada] ; Jiang-Shiou Hwang [République populaire de Chine]

Source :

RBID : ISTEX:18120733EEA0681BF615A3D584ACDC236D9A171C

Abstract

While the populations of the copepod Eurytemora affinis are often morphologically (i.e. taxonomy) indistinguishable, the species complex is composed of genetically distinct clades, representing divergent evolutionary histories. The most distant clades, genetically and morphologically (i.e. phylogeny), are transatlantic clades: North American and European (Lee, 2000). The study of the life cycle strategies of two populations from St. Lawrence salt-marshes (Canada) and from the Seine estuary (France) at three salinities (5, 15 and 25) revealed differences in their salinity tolerance. Individuals from the Seine exhibited high mortality under the highest salinity suggesting that the St. Lawrence population tolerated a wider salinity range. At the lowest salinity, the development time of St. Lawrence individuals was longer than that of individuals from the Seine suggesting that the Seine population was more adapted to low salinity. The clutch size and the longevity of St. Lawrence adults were on average two times higher compared to Seine adults. Thus, the St. Lawrence population exhibited a higher fitness relative to the Seine population. Such differences could be due to genetic differences resulting from divergent evolutionary history, to phenotypic plasticity and/or to the acclimation to culture conditions. We confirmed that a gamma density function is an appropriate fitting function for copepod development time, based on a large data set on development time. It can therefore be integrated into individual-based models of copepod population dynamics.

Url:
DOI: 10.1093/plankt/fbp020


Affiliations:


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