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Population genomics meet Lagrangian simulations: Oceanographic patterns and long larval duration ensure connectivity among Paracentrotus lividus populations in the Adriatic and Ionian seas.
Paterno, Marta; Schiavina, Marcello; Aglieri, Giorgio; Ben Souissi, Jamila; Boscari, Elisa; Casagrandi, Renato; Chassanite, Aurore; Chiantore, Mariachiara; Congiu, Leonardo; Guarnieri, Giuseppe; Kruschel, Claudia; Macic, Vesna; Marino, Ilaria A M; Papetti, Chiara; Patarnello, Tomaso; Zane, Lorenzo; Melià, Paco.
Afiliação
  • Paterno M; Department of Biology University of Padova Padova Italy.
  • Schiavina M; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
  • Aglieri G; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
  • Ben Souissi J; Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Milano Italy.
  • Boscari E; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
  • Casagrandi R; Department of Biological and Environmental Sciences and Technologies University of Salento Lecce Italy.
  • Chassanite A; Institut National Agronomique de Tunisie (INAT) Tunis Tunisia.
  • Chiantore M; Department of Biology University of Padova Padova Italy.
  • Congiu L; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
  • Guarnieri G; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
  • Kruschel C; Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Milano Italy.
  • Macic V; USR 3278 CNRS-EPHE CRIOBE Université de Perpignan Via Dominitia Perpignan Cedex France.
  • Marino IAM; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
  • Papetti C; Department for Earth, Environment and Life Sciences (DiSTAV) University of Genoa Genoa Italy.
  • Patarnello T; Department of Biology University of Padova Padova Italy.
  • Zane L; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
  • Melià P; Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa) Roma Italy.
Ecol Evol ; 7(8): 2463-2479, 2017 04.
Article em En | MEDLINE | ID: mdl-28428839
Connectivity between populations influences both their dynamics and the genetic structuring of species. In this study, we explored connectivity patterns of a marine species with long-distance dispersal, the edible common sea urchin Paracentrotus lividus, focusing mainly on the Adriatic-Ionian basins (Central Mediterranean). We applied a multidisciplinary approach integrating population genomics, based on 1,122 single nucleotide polymorphisms (SNPs) obtained from 2b-RAD in 275 samples, with Lagrangian simulations performed with a biophysical model of larval dispersal. We detected genetic homogeneity among eight population samples collected in the focal Adriatic-Ionian area, whereas weak but significant differentiation was found with respect to two samples from the Western Mediterranean (France and Tunisia). This result was not affected by the few putative outlier loci identified in our dataset. Lagrangian simulations found a significant potential for larval exchange among the eight Adriatic-Ionian locations, supporting the hypothesis of connectivity of P. lividus populations in this area. A peculiar pattern emerged from the comparison of our results with those obtained from published P. lividus cytochrome b (cytb) sequences, the latter revealing genetic differentiation in the same geographic area despite a smaller sample size and a lower power to detect differences. The comparison with studies conducted using nuclear markers on other species with similar pelagic larval durations in the same Adriatic-Ionian locations indicates species-specific differences in genetic connectivity patterns and warns against generalizing single-species results to the entire community of rocky shore habitats.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article