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  • European Marine Science
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  • SFRH/BPD/63703/2009

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Le Cam, Sabrina; Daguin-Thiébaut, Claire; Bouchemousse, Sarah; Engelen, Aschwin; +2 Authors

    Twenty-years of genetic studies of marine invaders have shown that successful invaders are often characterized by native and introduced populations displaying similar levels of genetic diversity. This pattern is presumably due to high propagule pressure and repeated introductions. The opposite pattern is reported in this study of the brown seaweed, Sargassum muticum, an emblematic species for circumglobal invasions. Albeit demonstrating polymorphism in the native range, microsatellites failed to detect any genetic variation over 1269 individuals sampled from 46 locations over the Pacific-Atlantic introduction range. Single-Nucleotide Polymorphisms (SNPs) obtained from ddRAD-sequencing revealed some genetic variation, but confirmed severe founder events in both the Pacific and Atlantic introduction ranges. Our study thus exemplifies the need for extreme caution in interpreting neutral genetic diversity as a proxy for invasive potential. Our results confirm a previously hypothesized trans-oceanic secondary introduction from NE Pacific to Europe. However, the SNPs panel unexpectedly revealed two additional distinct genetic origins of introductions. Also, conversely to scenarios based on historical records, southern rather than northern NE Pacific populations could have seeded most of the European populations. Finally, the most recently introduced populations showed the lowest selfing rates, suggesting higher levels of recombination might be beneficial at the early stage of the introduction process (i.e., facilitating evolutionary novelties), whereas uniparental reproduction might be favored later in sustainably established populations (i.e., sustaining local adaptation). Microsatellite datasetMicrosatellite dataset including genotype at each of the 14 study loci and multilocus genotype (MLG) with their code as used in Fig. 1 of the associated paper. Sampling information (populations code, collectors, sampling year, number of individuals genotyped with microsatellite markers) are detailed in Table S1 of the associated paper.LeCam et al._Sargassum_Data&Microsatellite.xlsxRADseq VCF file (Sargassum muticum)VCF file with ddRad-seq dataset. This dataset comprises 8788 polymorphic loci in a sample of 300 individuals from 21 sampling sites. Raw data had been filtered to keep loci genotyped in minimum 80% of the populations and 50% of individuals per population, representing 20% missing data across the whole dataset. Individual codes are described in the associated microsatellite dataset (see Excell file) and Table S1 of the associated paper.LeCam_Sargassum_RADSeq.vcf

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    DRYAD; ZENODO
    Dataset . 2019
    License: CC 0
    Data sources: Datacite; ZENODO
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      DRYAD; ZENODO
      Dataset . 2019
      License: CC 0
      Data sources: Datacite; ZENODO
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    Authors: Ruesink, Jennifer L.; Stachowicz, John J.; Reynolds, Pamela L.; Boström, Christoffer; +14 Authors

    Form-function relationships in plants underlie their ecosystem roles in supporting higher trophic levels through primary production, detrital pathways, and habitat provision. For widespread, phenotypically-variable plants, productivity may differ not only across abiotic conditions, but also from distinct morphological or demographic traits. A single foundation species, eelgrass (Zostera marina), typically dominates north temperate seagrass meadows, which we studied across 14 sites spanning 32-61° N latitude and two ocean basins. Body size varied by nearly two orders of magnitude through this range, and was largest at mid-latitudes and in the Pacific Ocean. At the global scale, neither latitude, site-level environmental conditions, nor body size helped predict productivity (relative growth rate 1-2% d-1 at most sites), suggesting a remarkable capacity of Z. marina to achieve similar productivity in summer. Furthermore, among a suite of stressors applied within sites, only ambient leaf damage reduced productivity; grazer reduction and nutrient addition had no effect on eelgrass size or growth. Scale-dependence was evident in different allometric relationships within and across sites for productivity and for modules (leaf count) relative to size. Z. marina provides a range of ecosystem functions related to both body size (habitat provision, water flow) and growth rates (food, carbon dynamics). Our observed decoupling of body size and maximum production suggests that geographic variation in these ecosystem functions may be independent, with a future need to resolve how local adaptation or plasticity of body size might actually enable more consistent peak productivity across disparate environmental conditions. Traits of Zostera marina (eelgrass)Each row contains the measurements for one eelgrass shoot, identified by its site of collection and the experimental treatment (plot)ZmarinaDataArchive.csv

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS-EASYarrow_drop_down
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    DANS-EASY
    Dataset . 2017
    Data sources: B2FIND
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    DRYAD; ZENODO; NARCIS
    Dataset . 2017
    License: CC 0
    Borealis
    Dataset . 2021
    Data sources: Datacite
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      DANS-EASY
      Dataset . 2017
      Data sources: B2FIND
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      DRYAD; ZENODO; NARCIS
      Dataset . 2017
      License: CC 0
      Borealis
      Dataset . 2021
      Data sources: Datacite
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    Authors: Buonomo, Roberto; Assis, Jorge; Fernandes, Francisco; Engelen, Aschwin H.; +2 Authors

    Effective predictive and management approaches for species occurring in a metapopulation structure require good understanding of inter-population connectivity. In this study we ask whether population genetic structure of marine species with fragmented distributions can be predicted by stepping-stone oceanographic transport and habitat continuity, using as model an ecosystem-structuring brown alga, Cystoseira amentacea var. stricta. To answer this question, we analyzed the genetic structure and estimated the connectivity of populations along discontinuous rocky habitat patches in southern Italy, using microsatellite markers at multiple scales. In addition, we modelled the effect of rocky habitat continuity and ocean circulation on gene flow by simulating Lagrangian particle dispersal based on ocean surface currents allowing multigenerational stepping-stone dynamics. Populations were highly differentiated, at scales from few meters up to 1000s of kilometers. The best possible model fit to explain the genetic results combined current direction, rocky habitat extension and distance along the coast among rocky sites. We conclude that a combination of variables suitable habitat and oceanographic transport is a useful predictor of genetic structure. This relationship provides insight into the mechanisms of dispersal and the role of life history traits. Our results highlight the importance of spatially explicit modeling of stepping stone dynamics and oceanographic directional transport coupled with habitat suitability, to better describe and predict marine population structure and differentiation. This study also suggests the appropriate spatial scales for the conservation, restoration and management of species that are increasingly affected by habitat modifications. microsatellite raw scoringColumn names: Pop= population code; ID= sample unique identifier; col 2 to 8 = marker names. Pop codes: CG= Capo Gallo, CR= Crotone, OT= Otranto, PA= Palermo (Altavilla), PP= Portopalo, SC= Sciacca (Mazara), TU=Torre Uluzzo, SE=Sant'Eliamsat_data.txtscripts used in R for linear modelsData were created in Rscripts.htmlData frame with distances among pairs of populationstab delimited table containing all the pairwise distances among populations, including geographical distance and obtained from particle dispersal model as well as calculated index of directionalityDF.txtparticle dispersal simulation videoexample of direct dispersal simulation from the sampling sites over one simulation period (jul-sept)Cystoseira Final 2.mp4autocorrelation kinship resutlsAutocorrelation file with distance and kinship coefficient among samples.autocorrelation_all.txtmarkers score input for genpopEdited microsatellite analysis result used as input in genpop, GenALEx and GENETIX.gen.gen

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    DANS-EASY
    Dataset . 2016
    Data sources: B2FIND
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    DRYAD; ZENODO; NARCIS
    Dataset . 2016
    License: CC 0
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      DANS-EASY
      Dataset . 2016
      Data sources: B2FIND
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      DRYAD; ZENODO; NARCIS
      Dataset . 2016
      License: CC 0
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Le Cam, Sabrina; Daguin-Thiébaut, Claire; Bouchemousse, Sarah; Engelen, Aschwin; +2 Authors

    Twenty-years of genetic studies of marine invaders have shown that successful invaders are often characterized by native and introduced populations displaying similar levels of genetic diversity. This pattern is presumably due to high propagule pressure and repeated introductions. The opposite pattern is reported in this study of the brown seaweed, Sargassum muticum, an emblematic species for circumglobal invasions. Albeit demonstrating polymorphism in the native range, microsatellites failed to detect any genetic variation over 1269 individuals sampled from 46 locations over the Pacific-Atlantic introduction range. Single-Nucleotide Polymorphisms (SNPs) obtained from ddRAD-sequencing revealed some genetic variation, but confirmed severe founder events in both the Pacific and Atlantic introduction ranges. Our study thus exemplifies the need for extreme caution in interpreting neutral genetic diversity as a proxy for invasive potential. Our results confirm a previously hypothesized trans-oceanic secondary introduction from NE Pacific to Europe. However, the SNPs panel unexpectedly revealed two additional distinct genetic origins of introductions. Also, conversely to scenarios based on historical records, southern rather than northern NE Pacific populations could have seeded most of the European populations. Finally, the most recently introduced populations showed the lowest selfing rates, suggesting higher levels of recombination might be beneficial at the early stage of the introduction process (i.e., facilitating evolutionary novelties), whereas uniparental reproduction might be favored later in sustainably established populations (i.e., sustaining local adaptation). Microsatellite datasetMicrosatellite dataset including genotype at each of the 14 study loci and multilocus genotype (MLG) with their code as used in Fig. 1 of the associated paper. Sampling information (populations code, collectors, sampling year, number of individuals genotyped with microsatellite markers) are detailed in Table S1 of the associated paper.LeCam et al._Sargassum_Data&Microsatellite.xlsxRADseq VCF file (Sargassum muticum)VCF file with ddRad-seq dataset. This dataset comprises 8788 polymorphic loci in a sample of 300 individuals from 21 sampling sites. Raw data had been filtered to keep loci genotyped in minimum 80% of the populations and 50% of individuals per population, representing 20% missing data across the whole dataset. Individual codes are described in the associated microsatellite dataset (see Excell file) and Table S1 of the associated paper.LeCam_Sargassum_RADSeq.vcf

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DRYAD; ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DRYAD; ZENODO
    Dataset . 2019
    License: CC 0
    Data sources: Datacite; ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DRYAD; ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DRYAD; ZENODO
      Dataset . 2019
      License: CC 0
      Data sources: Datacite; ZENODO
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    Authors: Ruesink, Jennifer L.; Stachowicz, John J.; Reynolds, Pamela L.; Boström, Christoffer; +14 Authors

    Form-function relationships in plants underlie their ecosystem roles in supporting higher trophic levels through primary production, detrital pathways, and habitat provision. For widespread, phenotypically-variable plants, productivity may differ not only across abiotic conditions, but also from distinct morphological or demographic traits. A single foundation species, eelgrass (Zostera marina), typically dominates north temperate seagrass meadows, which we studied across 14 sites spanning 32-61° N latitude and two ocean basins. Body size varied by nearly two orders of magnitude through this range, and was largest at mid-latitudes and in the Pacific Ocean. At the global scale, neither latitude, site-level environmental conditions, nor body size helped predict productivity (relative growth rate 1-2% d-1 at most sites), suggesting a remarkable capacity of Z. marina to achieve similar productivity in summer. Furthermore, among a suite of stressors applied within sites, only ambient leaf damage reduced productivity; grazer reduction and nutrient addition had no effect on eelgrass size or growth. Scale-dependence was evident in different allometric relationships within and across sites for productivity and for modules (leaf count) relative to size. Z. marina provides a range of ecosystem functions related to both body size (habitat provision, water flow) and growth rates (food, carbon dynamics). Our observed decoupling of body size and maximum production suggests that geographic variation in these ecosystem functions may be independent, with a future need to resolve how local adaptation or plasticity of body size might actually enable more consistent peak productivity across disparate environmental conditions. Traits of Zostera marina (eelgrass)Each row contains the measurements for one eelgrass shoot, identified by its site of collection and the experimental treatment (plot)ZmarinaDataArchive.csv

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    DANS-EASY
    Dataset . 2017
    Data sources: B2FIND
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    DRYAD; ZENODO; NARCIS
    Dataset . 2017
    License: CC 0
    Borealis
    Dataset . 2021
    Data sources: Datacite
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      DANS-EASY
      Dataset . 2017
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DRYAD; ZENODO; NARCIS
      Dataset . 2017
      License: CC 0
      Borealis
      Dataset . 2021
      Data sources: Datacite
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    Authors: Buonomo, Roberto; Assis, Jorge; Fernandes, Francisco; Engelen, Aschwin H.; +2 Authors

    Effective predictive and management approaches for species occurring in a metapopulation structure require good understanding of inter-population connectivity. In this study we ask whether population genetic structure of marine species with fragmented distributions can be predicted by stepping-stone oceanographic transport and habitat continuity, using as model an ecosystem-structuring brown alga, Cystoseira amentacea var. stricta. To answer this question, we analyzed the genetic structure and estimated the connectivity of populations along discontinuous rocky habitat patches in southern Italy, using microsatellite markers at multiple scales. In addition, we modelled the effect of rocky habitat continuity and ocean circulation on gene flow by simulating Lagrangian particle dispersal based on ocean surface currents allowing multigenerational stepping-stone dynamics. Populations were highly differentiated, at scales from few meters up to 1000s of kilometers. The best possible model fit to explain the genetic results combined current direction, rocky habitat extension and distance along the coast among rocky sites. We conclude that a combination of variables suitable habitat and oceanographic transport is a useful predictor of genetic structure. This relationship provides insight into the mechanisms of dispersal and the role of life history traits. Our results highlight the importance of spatially explicit modeling of stepping stone dynamics and oceanographic directional transport coupled with habitat suitability, to better describe and predict marine population structure and differentiation. This study also suggests the appropriate spatial scales for the conservation, restoration and management of species that are increasingly affected by habitat modifications. microsatellite raw scoringColumn names: Pop= population code; ID= sample unique identifier; col 2 to 8 = marker names. Pop codes: CG= Capo Gallo, CR= Crotone, OT= Otranto, PA= Palermo (Altavilla), PP= Portopalo, SC= Sciacca (Mazara), TU=Torre Uluzzo, SE=Sant'Eliamsat_data.txtscripts used in R for linear modelsData were created in Rscripts.htmlData frame with distances among pairs of populationstab delimited table containing all the pairwise distances among populations, including geographical distance and obtained from particle dispersal model as well as calculated index of directionalityDF.txtparticle dispersal simulation videoexample of direct dispersal simulation from the sampling sites over one simulation period (jul-sept)Cystoseira Final 2.mp4autocorrelation kinship resutlsAutocorrelation file with distance and kinship coefficient among samples.autocorrelation_all.txtmarkers score input for genpopEdited microsatellite analysis result used as input in genpop, GenALEx and GENETIX.gen.gen

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    DANS-EASY
    Dataset . 2016
    Data sources: B2FIND
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    DRYAD; ZENODO; NARCIS
    Dataset . 2016
    License: CC 0
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS-EASYarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DANS-EASY
      Dataset . 2016
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DRYAD; ZENODO; NARCIS
      Dataset . 2016
      License: CC 0
      addClaim

      This Research product is the result of merged Research products in OpenAIRE.

      You have already added works in your ORCID record related to the merged Research product.
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