The chalk streams of southern England and northern France harbour substantial unique components of the overall genetic diversity of Atlantic salmon (Salmo salar L.)
Data files
Apr 08, 2026 version files 1.04 MB
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King_et_al_salmon_Dryad_data.xlsx
1.03 MB
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README.md
3.06 KB
Abstract
Aim: Atlantic salmon continue to suffer marked declines in abundance due to stressors acting in both their freshwater and marine habitats. It is therefore imperative to identify populations in need of conservation intervention, with the aim of preserving as much genetic diversity as possible. Previous analyses have shown the chalk rivers of southern England and northern France to hold genetically distinct populations of salmon. However, these populations have never been investigated in the same study. We sought to understand the relationship between English and French chalk salmon and assess their conservation value.
Location: British Isles and France.
Methods: A suite of 93 single nucleotide polymorphism loci were genotyped in 1640 samples from 42 British Isles and French rivers. Genetic structuring was assessed; SNPs potentially under selection and related to climate adaptation were identified, and the contribution of each river and region to genetic diversity was evaluated.
Results: We demonstrate the French and English chalk salmon to be closely related and confirm their distinction from salmon inhabiting non-chalk rivers. The identification of a small number of significant FST outliers and loci associated with environmental variables suggests that this distinction is driven by local adaptation. We propose that the chalk and non-chalk salmon be designated as two distinct Evolutionarily Significant Units that each contain multiple Management Units. The chalk river salmon, especially those from southern England, are identified as making a significant contribution to the overall diversity of the species within the English Channel region.
Main conclusions: We propose that chalk stream salmon populations may meet the criteria for recognition as a distinct subspecies of salmon, Salmo salar calcariensis. Taken together, the results highlight the urgent need for enhanced conservation and protection for the Atlantic salmon populations inhabiting the chalk rivers of southern England and northern France.
Dataset DOI: 10.5061/dryad.2bvq83c3n
Description of the data and file structure
Read me for data from: King et al. The chalk streams of southern England and northern France harbour substantial unique components of the overall genetic diversity of Atlantic salmon (Salmo salar L.)
Files and variables
File: King_et_al_salmon_Dryad_data.xlsx
Description: Excel file with data in GenAlEx (Peakall & Smouse, 2006, 2012) format
Tab: Sample_info
Table presenting details of the rivers from which Atlantic salmon were sampled, including river code name, country, river type, grid reference (latitude, longitude) of each river mouth and Yank-2 sample size.
The Waples & Anderson (2017) Yank-2 method was used to trim full sibs from the data set – both members of families with two individuals were retained but if a family had three or more individuals, all but two random members were removed.
Tab: Genotypes
Data for 1565 baseline Atlantic salmon individuals, sampled from 42 British Isles and French rivers. Samples were genotyped at 93 single nucleotide polymorphism markers (King & Stevens 2021) on the Standard Biotools EP1 Genotyping System using 96.96 Dynamic Genotyping Arrays and scored using the Standard Biotools SNP Genotyping analysis software. Details of sampled rivers are given in the Sample_info tab.
Essential parameters are given in Row 1. These are: cell A1 – number of loci; cell B1 – number of individual genotypes in the datasheet; cell C1 – number of populations; cells D1 to AS1 – the number of individual genotypes for each river.
References
King, R. A., & Stevens, J. R. (2021). Development of SNP markers derived from RAD sequencing for Atlantic salmon (Salmo salar L.) inhabiting the rivers of southern England. Conservation Genetics Resources, 13, 369-373. doi:10.1007/s12686-021-01215-6
Peakall, R., & Smouse, P. E. (2006). GenAlEx 6: Genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Resources, 6(1), 288–295. https://doi.org/10.1111/j.1471-8286.2005.01155.x
Peakall, R., & Smouse, P. E. (2012). GenAlEx 6.5: Genetic analysis in Excel. Population genetic software for teaching and research – an update. Bioinformatics, 28(19), 2537–2539. https://doi.org/10.1093/ bioinformatics/bts460
Waples, R. S., & Anderson, E. C. (2017). Purging putative siblings from population genetic data sets: a cautionary view. Molecular Ecology, 26, 1211-1224. doi:10.1111/mec.14022
Code/software
File can be opened using Microsoft Excel. GenAlEx 6 macros (https://biology-assets.anu.edu.au/GenAlEx/Welcome.html) are required for basic data analyses.
