Thinking of Fish Population Discrimination: Population Average Phenotype vs. Population Phenotypes

The genetic polymorphism and phenotypic variation are key in ecology and evolution. The morphological variability of the contour of fish otoliths has been extensively used for the delimitation of stocks. These studies are conventionally based on average phenotype using elliptic Fourier analysis and...

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Bibliographic Details
Published inFrontiers in Marine Science Vol. 8
Main Authors Vasconcelos, Joana, Jurado-Ruzafa, Alba, Otero-Ferrer, José Luis, Lombarte, Antoni, Riera, Rodrigo, Tuset, Víctor M.
Format Journal Article
LanguageEnglish
Published Lausanne Frontiers Research Foundation 15.10.2021
Frontiers Media S.A
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Summary:The genetic polymorphism and phenotypic variation are key in ecology and evolution. The morphological variability of the contour of fish otoliths has been extensively used for the delimitation of stocks. These studies are conventionally based on average phenotype using elliptic Fourier analysis and lineal discriminant analysis as classifier. Considering new analytical options, such as the wavelet transform and non-parametric algorithms, we here analyzed the otolith shape of Trachurus picturatus (blue jack mackerel) from mainland Portugal, Madeira, and the Canaries. We explore the phenotypic variation throughout a latitudinal gradient, establish a hypothesis to explain this variability based on the reaction norms, and determine how the use of average phenotype and/or morphotypes influences in the delimitation of stocks. Four morphotypes were identified in all regions, with an increase of phenotypes in warmer waters. The findings demonstrated that stocks were clearly separated with classification rates over 90%. The use of morphotypes, revealed seasonal variations in their frequencies and per region. The presence of shared phenotypes in different proportions among fishing grounds may open new management approaches in migratory species. These results show the importance of the phenotypic diversity in fisheries management.
ISSN:2296-7745
2296-7745
DOI:10.3389/fmars.2021.740296