Literature DB >> 24671941

Understanding macroalgal dispersal in a complex hydrodynamic environment: a combined population genetic and physical modelling approach.

Georgina Brennan1, Louise Kregting, Gemma E Beatty, Claudia Cole, Björn Elsäßer, Graham Savidge, Jim Provan.   

Abstract

Gene flow in macroalgal populations can be strongly influenced by spore or gamete dispersal. This, in turn, is influenced by a convolution of the effects of current flow and specific plant reproductive strategies. Although several studies have demonstrated genetic variability in macroalgal populations over a wide range of spatial scales, the associated current data have generally been poorly resolved spatially and temporally. In this study, we used a combination of population genetic analyses and high-resolution hydrodynamic modelling to investigate potential connectivity between populations of the kelp Laminaria digitata in the Strangford Narrows, a narrow channel characterized by strong currents linking the large semi-enclosed sea lough, Strangford Lough, to the Irish Sea. Levels of genetic structuring based on six microsatellite markers were very low, indicating high levels of gene flow and a pattern of isolation-by-distance, where populations are more likely to exchange migrants with geographically proximal populations, but with occasional long-distance dispersal. This was confirmed by the particle tracking model, which showed that, while the majority of spores settle near the release site, there is potential for dispersal over several kilometres. This combined population genetic and modelling approach suggests that the complex hydrodynamic environment at the entrance to Strangford Lough can facilitate dispersal on a scale exceeding that proposed for L. digitata in particular, and the majority of macroalgae in general. The study demonstrates the potential of integrated physical-biological approaches for the prediction of ecological changes resulting from factors such as anthropogenically induced coastal zone changes.

Entities:  

Keywords:  Laminaria digitata; dispersal; hydrology; macroalgae; particle tracking modelling; population genetics

Mesh:

Year:  2014        PMID: 24671941      PMCID: PMC4006262          DOI: 10.1098/rsif.2014.0197

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  15 in total

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Authors:  P E Smouse; R Peakall
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2.  Habitat continuity and geographic distance predict population genetic differentiation in giant kelp.

Authors:  Filipe Alberto; Peter T Raimondi; Daniel C Reed; Nelson C Coelho; Raphael Leblois; Allison Whitmer; Ester A Serrão
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3.  Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data.

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4.  The Stepping Stone Model of Population Structure and the Decrease of Genetic Correlation with Distance.

Authors:  M Kimura; G H Weiss
Journal:  Genetics       Date:  1964-04       Impact factor: 4.562

5.  The influence of coastal topography, circulation patterns, and rafting in structuring populations of an intertidal alga.

Authors:  J F Muhlin; C R Engel; R Stessel; R A Weatherbee; S H Brawley
Journal:  Mol Ecol       Date:  2008-03       Impact factor: 6.185

6.  Isolation and characterization of microsatellite markers in the nuclear genome of the brown alga Laminaria digitata (Phaeophyceae).

Authors:  C Billot; S Rousvoal; A Estoup; J T Epplen; P Saumitou-Laprade; M Valero; B Kloareg
Journal:  Mol Ecol       Date:  1998-12       Impact factor: 6.185

7.  Isolation by oceanographic distance explains genetic structure for Macrocystis pyrifera in the Santa Barbara Channel.

Authors:  Filipe Alberto; Peter T Raimondi; Daniel C Reed; James R Watson; David A Siegel; Satoshi Mitarai; Nelson Coelho; Ester A Serrão
Journal:  Mol Ecol       Date:  2011-05-03       Impact factor: 6.185

8.  A quasi-equilibrium theory of the distribution of rare alleles in a subdivided population.

Authors:  N H Barton; M Slatkin
Journal:  Heredity (Edinb)       Date:  1986-06       Impact factor: 3.821

9.  Successful external fertilization in turbulent environments.

Authors:  E A Serrao; G Pearson; L Kautsky; S H Brawley
Journal:  Proc Natl Acad Sci U S A       Date:  1996-05-28       Impact factor: 11.205

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

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1.  Seascape Genomics of the Sugar Kelp Saccharina latissima along the North Eastern Atlantic Latitudinal Gradient.

Authors:  Jaromir Guzinski; Paolo Ruggeri; Marion Ballenghien; Stephane Mauger; Bertrand Jacquemin; Chloe Jollivet; Jerome Coudret; Lucie Jaugeon; Christophe Destombe; Myriam Valero
Journal:  Genes (Basel)       Date:  2020-12-13       Impact factor: 4.096

2.  Phylogeographic data revealed shallow genetic structure in the kelp Saccharina japonica (Laminariales, Phaeophyta).

Authors:  Jie Zhang; Jian-Ting Yao; Zhong-Min Sun; Gang Fu; Dmitry A Galanin; Chikako Nagasato; Taizo Motomura; Zi-Min Hu; De-Lin Duan
Journal:  BMC Evol Biol       Date:  2015-11-02       Impact factor: 3.260

3.  Heat stress responses and population genetics of the kelp Laminaria digitata (Phaeophyceae) across latitudes reveal differentiation among North Atlantic populations.

Authors:  Daniel Liesner; Louise Fouqueau; Myriam Valero; Michael Y Roleda; Gareth A Pearson; Kai Bischof; Klaus Valentin; Inka Bartsch
Journal:  Ecol Evol       Date:  2020-08-17       Impact factor: 2.912

4.  Evolutionary Phycology: Toward a Macroalgal Species Conceptual Framework.

Authors:  Sophie J McCoy; Stacy A Krueger-Hadfield; Nova Mieszkowska
Journal:  J Phycol       Date:  2020-09-21       Impact factor: 3.173

  4 in total

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