Literature DB >> 25231198

Ocean circulation model predicts high genetic structure observed in a long-lived pelagic developer.

J M Sunday1, I Popovic, W J Palen, M G G Foreman, M W Hart.   

Abstract

Understanding the movement of genes and individuals across marine seascapes is a long-standing challenge in marine ecology and can inform our understanding of local adaptation, the persistence and movement of populations, and the spatial scale of effective management. Patterns of gene flow in the ocean are often inferred based on population genetic analyses coupled with knowledge of species' dispersive life histories. However, genetic structure is the result of time-integrated processes and may not capture present-day connectivity between populations. Here, we use a high-resolution oceanographic circulation model to predict larval dispersal along the complex coastline of western Canada that includes the transition between two well-studied zoogeographic provinces. We simulate dispersal in a benthic sea star with a 6-10 week pelagic larval phase and test predictions of this model against previously observed genetic structure including a strong phylogeographic break within the zoogeographical transition zone. We also test predictions with new genetic sampling in a site within the phylogeographic break. We find that the coupled genetic and circulation model predicts the high degree of genetic structure observed in this species, despite its long pelagic duration. High genetic structure on this complex coastline can thus be explained through ocean circulation patterns, which tend to retain passive larvae within 20-50 km of their parents, suggesting a necessity for close-knit design of Marine Protected Area networks.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  larval dispersal; marine connectivity; oceanographic circulation model; population genetics

Mesh:

Year:  2014        PMID: 25231198     DOI: 10.1111/mec.12924

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  8 in total

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2.  The Genetic Population Structure of Lake Tanganyika's Lates Species Flock, an Endemic Radiation of Pelagic Top Predators.

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3.  The oceanic concordance of phylogeography and biogeography: a case study in Notochthamalus.

Authors:  Christine Ewers-Saucedo; James M Pringle; Hector H Sepúlveda; James E Byers; Sergio A Navarrete; John P Wares
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4.  Independent estimates of marine population connectivity are more concordant when accounting for uncertainties in larval origins.

Authors:  R Nolasco; I Gomes; L Peteiro; R Albuquerque; T Luna; J Dubert; S E Swearer; H Queiroga
Journal:  Sci Rep       Date:  2018-02-08       Impact factor: 4.379

5.  Successful validation of a larval dispersal model using genetic parentage data.

Authors:  Michael Bode; Jeffrey M Leis; Luciano B Mason; David H Williamson; Hugo B Harrison; Severine Choukroun; Geoffrey P Jones
Journal:  PLoS Biol       Date:  2019-07-12       Impact factor: 8.029

6.  Evidence for rangewide panmixia despite multiple barriers to dispersal in a marine mussel.

Authors:  Carla R Lourenço; Katy R Nicastro; Christopher D McQuaid; Rosa M Chefaoui; Jorge Assis; Mohammed Z Taleb; Gerardo I Zardi
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7.  Genetic and oceanographic tools reveal high population connectivity and diversity in the endangered pen shell Pinna nobilis.

Authors:  Marlene Wesselmann; Mercedes González-Wangüemert; Ester A Serrão; Aschwin H Engelen; Lionel Renault; José R García-March; Carlos M Duarte; Iris E Hendriks
Journal:  Sci Rep       Date:  2018-03-19       Impact factor: 4.379

8.  Large-scale impacts of sea star wasting disease (SSWD) on intertidal sea stars and implications for recovery.

Authors:  C Melissa Miner; Jennifer L Burnaford; Richard F Ambrose; Liam Antrim; Heath Bohlmann; Carol A Blanchette; John M Engle; Steven C Fradkin; Rani Gaddam; Christopher D G Harley; Benjamin G Miner; Steven N Murray; Jayson R Smith; Stephen G Whitaker; Peter T Raimondi
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  8 in total

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