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Asymmetrical gene flow in five co-distributed syngnathids explained by ocean currents and rafting propensity

Ocean circulation driving macro-algal rafting is believed to serve as an important mode of dispersal for many marine organisms, leading to predictions on population-level genetic connectivity and the directionality of effective dispersal. Here, we use genome-wide single nucleotide polymorphism data...

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Bibliographic Details
Published in:Proceedings of the Royal Society. B, Biological sciences Biological sciences, 2020-05, Vol.287 (1926), p.20200657-20200657
Main Authors: Bertola, Laura D, Boehm, J T, Putman, Nathan F, Xue, Alexander T, Robinson, John D, Harris, Stephen, Baldwin, Carole C, Overcast, Isaac, Hickerson, Michael J
Format: Article
Language:English
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Summary:Ocean circulation driving macro-algal rafting is believed to serve as an important mode of dispersal for many marine organisms, leading to predictions on population-level genetic connectivity and the directionality of effective dispersal. Here, we use genome-wide single nucleotide polymorphism data to investigate whether gene flow directionality in two seahorses ( ) and three pipefishes ( ) follows the predominant ocean circulation patterns in the Gulf of Mexico and northwestern Atlantic. In addition, we explore whether gene flow magnitudes are predicted by traits related to active dispersal ability and habitat preference. We inferred demographic histories of these co-distributed syngnathid species, and coalescent model-based estimates indicate that gene flow directionality is in agreement with ocean circulation data that predicts eastward and northward macro-algal transport. However, the magnitude to which ocean currents influence this pattern appears strongly dependent on the species-specific traits related to rafting propensity and habitat preferences. Higher levels of gene flow and stronger directionality are observed in , and , which closely associated with the pelagic macro-algae spp., compared to and the / sister-species pair, which prefer near shore habitats and are weakly associated with pelagic . This study highlights how the combination of population genomic inference together with ocean circulation data can help explain patterns of population structure and diversity in marine ecosystems.
ISSN:0962-8452
1471-2954
DOI:10.1098/rspb.2020.0657