---
OA_place: repository
OA_type: green
_id: '22867'
abstract:
- lang: eng
  text: 'The impact of ongoing climate change on populations will be contingent upon
    their contemporary adaptive evolution. In this study, we investigated the contemporary
    evolution of four populations of the cold-water kelp Laminaria digitata by analysing
    their spatial and temporal genomic variation using ddRAD-sequencing. These populations
    were sampled from the center to the southern margin of its north-eastern Atlantic
    distribution at two-time points, spanning at least two generations. Through genome
    scans for local adaptation at a single time point, we identified candidate loci
    that showed clinal variation correlated with changes in sea surface temperature
    (SST) along latitudinal gradients. This finding suggests that SST may drive the
    adaptive response of these kelp populations, although factors such as species''
    demographic history should also be considered. Additionally, we performed a simulation
    approach to distinguish the effect of selection from genetic drift in allele frequency
    changes over time. This enabled the detection of loci in the southernmost population
    that exhibited temporal differentiation beyond what would be expected from genetic
    drift alone: these are candidate loci which could have evolved under selection
    over time. In contrast, we did not detect any outlier locus based on temporal
    differentiation in the population from the North Sea, which also displayed low
    and decreasing levels of genetic diversity. The diverse evolutionary scenarios
    observed among populations can be attributed to variations in the prevalence of
    selection relative to genetic drift across different environments. Therefore,
    our study highlights the potential of temporal genomics to offer valuable insights
    into the contemporary evolution of marine foundation species facing climate change.'
article_processing_charge: No
author:
- first_name: Lauric
  full_name: Reynes, Lauric
  last_name: Reynes
citation:
  ama: 'Reynes L. Genomic datasets of Laminaria digitata: Paired-end reads from dd-RADseq,
    reference genome assembly and filtered VCF. 2023. doi:<a href="https://doi.org/10.5061/dryad.tb2rbp064">10.5061/dryad.tb2rbp064</a>'
  apa: 'Reynes, L. (2023). Genomic datasets of Laminaria digitata: Paired-end reads
    from dd-RADseq, reference genome assembly and filtered VCF. Repository. <a href="https://doi.org/10.5061/dryad.tb2rbp064">https://doi.org/10.5061/dryad.tb2rbp064</a>'
  chicago: 'Reynes, Lauric. “Genomic Datasets of Laminaria Digitata: Paired-End Reads
    from Dd-RADseq, Reference Genome Assembly and Filtered VCF.” Repository, 2023.
    <a href="https://doi.org/10.5061/dryad.tb2rbp064">https://doi.org/10.5061/dryad.tb2rbp064</a>.'
  ieee: 'L. Reynes, “Genomic datasets of Laminaria digitata: Paired-end reads from
    dd-RADseq, reference genome assembly and filtered VCF.” Repository, 2023.'
  ista: 'Reynes L. 2023. Genomic datasets of Laminaria digitata: Paired-end reads
    from dd-RADseq, reference genome assembly and filtered VCF, Repository, <a href="https://doi.org/10.5061/dryad.tb2rbp064">10.5061/dryad.tb2rbp064</a>.'
  mla: 'Reynes, Lauric. <i>Genomic Datasets of Laminaria Digitata: Paired-End Reads
    from Dd-RADseq, Reference Genome Assembly and Filtered VCF</i>. Repository, 2023,
    doi:<a href="https://doi.org/10.5061/dryad.tb2rbp064">10.5061/dryad.tb2rbp064</a>.'
  short: L. Reynes, (2023).
date_created: 2026-09-09T09:33:28Z
date_published: 2023-06-20T00:00:00Z
date_updated: 2026-09-09T09:33:38Z
day: '20'
department:
- _id: NiBa
doi: 10.5061/dryad.tb2rbp064
fulldoi: https://doi.org/10.5061/dryad.tb2rbp064
main_file_link:
- open_access: '1'
  url: https://doi.org/10.5061/dryad.tb2rbp064
month: '06'
oa: 1
oa_version: None
publisher: Repository
related_material:
  record:
  - id: '17237'
    relation: used_in_publication
    status: public
status: public
title: 'Genomic datasets of Laminaria digitata: Paired-end reads from dd-RADseq, reference
  genome assembly and filtered VCF'
type: research_data_reference
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2023'
...