Larval population structure ofEngraulis encrasicolusin the Strait of Sicily as revealed by morphometric and genetic analysis

Autor: Angela Cuttitta, Marco Torri, Marianna Musco, Francesco Placenti, Aldo Nicosia, Roberta Mifsud, Grazia Maria Armeri, Anna Maria Pappalardo, Salvatore Mazzola, Teresa Maggio, Enza Maria Quinci, Angelo Bonanno, Giorgio Tranchida, Vito De Pinto, F. Falco, Bernardo Patti, Venera Ferrito
Rok vydání: 2015
Předmět:
Zdroj: Fisheries oceanography
24 (2015): 135–149. doi:10.1111/fog.12098
info:cnr-pdr/source/autori:A. Cuttitta, B. Patti, T. Maggio, E. M. Quinci, A. M. Pappalardo, V. Ferrito, V. De Pinto, M. Torri, F. Falco, A. Nicosia, M. Musco, G. M. Armeri, F. Placenti, G. Tranchida, R. Mifsud, A. Bonanno, S. Mazzola./titolo:Larval population structure of Engraulis encrasicolus in the Strait of Sicily as revealed by morphometric and genetic analyses./doi:10.1111%2Ffog.12098/rivista:Fisheries oceanography (Print)/anno:2015/pagina_da:135/pagina_a:149/intervallo_pagine:135–149/volume:24
ISSN: 1054-6006
DOI: 10.1111/fog.12098
Popis: In order to investigate the larval population structure,specimens of Engraulis encrasicolus larvae from five dif-ferent locations in the Strait of Sicily were analyzed bymeans of otolith readings, morphometric and genetictechniques. The distribution of age in day, identifiedby means of the otolith readings and associated withthe oceanographic parameters, was useful to identifypossible spawning areas and transport dynamics. Thepresence of more than one spawning area suggestedthe possibility that two or more sub-populations mayco-exist in the study area. The morphometric charac-teristics were more adequate than genetic parametersto discriminate the different larval groups. The mostrelevant variables for the separation were the mouthlength (ML) and the body diameter (BD). The popula-tion structure by means of genetic data reported thepresence of two phylogroups co-occurring among sam-ples in each sampling locations specimens. The pat-tern of genetic divergence among anchovy larvae inthe Strait of Sicily was congruent with previous studiesconducted on adult populations present in other Medi-terranean areas with different molecular markers. Thehabitat-specific nature of the morphological variationand the lack of corresponding genetic variation amonglarvae from the different locations suggested that theobserved differences in morphology could be linked toenvironmental parameters. The body form differencesamong different larvae samples could reflect the nutri-tional status of larvae. In fact, these differences werefound among anchovy larvae collected in areas withdifferent oxygen and fluorescence, which is an indexof primary productivity and is linked to the availabilityof food for anchovy larvae.Key words: Engraulis encrasicolus, morphometric andgenetic analysis, population structure, Strait of SicilyINTRODUCTIONIdentification of fish population structure is a generalissue for both ecological and evolutionary contexts aswell as for conservation and management of species.Information about space-temporal configuration of dis-tinct groups of individuals of the same species supportsthe study of population connectivity and, therefore,helps the recognition of population structure. Inrecent years, it was demonstrated that detailed andvalid knowledge of population connectivity is crucialfor population structure analysis of marine organisms,and in the case of financially important species it is animportant requirement for spatial management of fish-eries (Armsworth, 2002; Fogarty et al., 2003; Botsfordand Hastings, 2006). Traditionally in the case of fish-ery species, as reported by Cadrin et al. (2004), thestock identification model assumes that the populationis well mixed throughout the management area andthe spatial management units are defined on the basisof genetic structure, differences in morphological anddemographic characteristics, fishing patterns, and/ormovement and dispersal patterns of individual species.In the particular case of species of small pelagic fish,their populations tend to be distributed in wide geo-graphic areas, where oceanographic features directly
Databáze: OpenAIRE
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