Literature DB >> 24354713

Regional environmental pressure influences population differentiation in turbot (Scophthalmus maximus).

S G Vandamme1, G E Maes, J A M Raeymaekers, K Cottenie, A K Imsland, B Hellemans, G Lacroix, E Mac Aoidh, J T Martinsohn, P Martínez, J Robbens, R Vilas, F A M Volckaert.   

Abstract

Unravelling the factors shaping the genetic structure of mobile marine species is challenging due to the high potential for gene flow. However, genetic inference can be greatly enhanced by increasing the genomic, geographical or environmental resolution of population genetic studies. Here, we investigated the population structure of turbot (Scophthalmus maximus) by screening 17 random and gene-linked markers in 999 individuals at 290 geographical locations throughout the northeast Atlantic Ocean. A seascape genetics approach with the inclusion of high-resolution oceanographical data was used to quantify the association of genetic variation with spatial, temporal and environmental parameters. Neutral loci identified three subgroups: an Atlantic group, a Baltic Sea group and one on the Irish Shelf. The inclusion of loci putatively under selection suggested an additional break in the North Sea, subdividing southern from northern Atlantic individuals. Environmental and spatial seascape variables correlated marginally with neutral genetic variation, but explained significant proportions (respectively, 8.7% and 10.3%) of adaptive genetic variation. Environmental variables associated with outlier allele frequencies included salinity, temperature, bottom shear stress, dissolved oxygen concentration and depth of the pycnocline. Furthermore, levels of explained adaptive genetic variation differed markedly between basins (3% vs. 12% in the North and Baltic Sea, respectively). We suggest that stable environmental selection pressure contributes to relatively strong local adaptation in the Baltic Sea. Our seascape genetic approach using a large number of sampling locations and associated oceanographical data proved useful for the identification of population units as the basis of management decisions.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  Scophthalmus maximus; adaptive genetic variation; microsatellite; oceanography; population structure; seascape genetics

Mesh:

Substances:

Year:  2014        PMID: 24354713     DOI: 10.1111/mec.12628

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


  10 in total

1.  Adaptation to Low Salinity Promotes Genomic Divergence in Atlantic Cod (Gadus morhua L.).

Authors:  Paul R Berg; Sissel Jentoft; Bastiaan Star; Kristoffer H Ring; Halvor Knutsen; Sigbjørn Lien; Kjetill S Jakobsen; Carl André
Journal:  Genome Biol Evol       Date:  2015-05-20       Impact factor: 3.416

2.  Population Structure and Adaptive Divergence in a High Gene Flow Marine Fish: The Small Yellow Croaker (Larimichthys polyactis).

Authors:  Bing-Jian Liu; Bai-Dong Zhang; Dong-Xiu Xue; Tian-Xiang Gao; Jin-Xian Liu
Journal:  PLoS One       Date:  2016-04-21       Impact factor: 3.240

3.  Navigating the currents of seascape genomics: how spatial analyses can augment population genomic studies.

Authors:  Cynthia Riginos; Eric D Crandall; Libby Liggins; Pim Bongaerts; Eric A Treml
Journal:  Curr Zool       Date:  2016-07-06       Impact factor: 2.624

4.  Parallel evolution and adaptation to environmental factors in a marine flatfish: Implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus).

Authors:  Fernanda Dotti do Prado; Manuel Vera; Miguel Hermida; Carmen Bouza; Belén G Pardo; Román Vilas; Andrés Blanco; Carlos Fernández; Francesco Maroso; Gregory E Maes; Cemal Turan; Filip A M Volckaert; John B Taggart; Adrian Carr; Rob Ogden; Einar Eg Nielsen; Paulino Martínez
Journal:  Evol Appl       Date:  2018-04-06       Impact factor: 5.183

5.  Reconciling seascape genetics and fisheries science in three codistributed flatfishes.

Authors:  Sara Vandamme; Joost A M Raeymaekers; Gregory E Maes; Karl Cottenie; Federico C F Calboli; Eveline Diopere; Filip A M Volckaert
Journal:  Evol Appl       Date:  2020-11-02       Impact factor: 5.183

6.  Genomic survey of edible cockle (Cerastoderma edule) in the Northeast Atlantic: A baseline for sustainable management of its wild resources.

Authors:  Manuel Vera; Francesco Maroso; Sophie B Wilmes; Miguel Hermida; Andrés Blanco; Carlos Fernández; Emily Groves; Shelagh K Malham; Carmen Bouza; Peter E Robins; Paulino Martínez
Journal:  Evol Appl       Date:  2022-01-25       Impact factor: 5.183

7.  Signatures of selection in the three-spined stickleback along a small-scale brackish water - freshwater transition zone.

Authors:  Nellie Konijnendijk; Takahito Shikano; Dorien Daneels; Filip A M Volckaert; Joost A M Raeymaekers
Journal:  Ecol Evol       Date:  2015-09-04       Impact factor: 2.912

8.  Genome-Wide SNP Discovery, Genotyping and Their Preliminary Applications for Population Genetic Inference in Spotted Sea Bass (Lateolabrax maculatus).

Authors:  Juan Wang; Dong-Xiu Xue; Bai-Dong Zhang; Yu-Long Li; Bing-Jian Liu; Jin-Xian Liu
Journal:  PLoS One       Date:  2016-06-23       Impact factor: 3.240

9.  Whole genome sequencing of turbot (Scophthalmus maximus; Pleuronectiformes): a fish adapted to demersal life.

Authors:  Antonio Figueras; Diego Robledo; André Corvelo; Miguel Hermida; Patricia Pereiro; Juan A Rubiolo; Jèssica Gómez-Garrido; Laia Carreté; Xabier Bello; Marta Gut; Ivo Glynne Gut; Marina Marcet-Houben; Gabriel Forn-Cuní; Beatriz Galán; José Luis García; José Luis Abal-Fabeiro; Belen G Pardo; Xoana Taboada; Carlos Fernández; Anna Vlasova; Antonio Hermoso-Pulido; Roderic Guigó; José Antonio Álvarez-Dios; Antonio Gómez-Tato; Ana Viñas; Xulio Maside; Toni Gabaldón; Beatriz Novoa; Carmen Bouza; Tyler Alioto; Paulino Martínez
Journal:  DNA Res       Date:  2016-03-06       Impact factor: 4.458

10.  The hemoglobin Gly16β1Asp polymorphism in turbot (Scophthalmus maximus) is differentially distributed across European populations.

Authors:  Øivind Andersen; Juan Andrés Rubiolo; Maria Cristina De Rosa; Paulino Martinez
Journal:  Fish Physiol Biochem       Date:  2020-10-04       Impact factor: 2.794

  10 in total

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