LANDSCAPE GENOMICS IN ATLANTIC SALMON (SALMO SALAR): SEARCHING FOR GENE–ENVIRONMENT INTERACTIONS DRIVING LOCAL ADAPTATION
Article first published online: 22 MAY 2013
© 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.
Volume 67, Issue 12, pages 3469–3487, December 2013
How to Cite
Vincent, B., Dionne, M., Kent, M. P., Lien, S. and Bernatchez, L. (2013), LANDSCAPE GENOMICS IN ATLANTIC SALMON (SALMO SALAR): SEARCHING FOR GENE–ENVIRONMENT INTERACTIONS DRIVING LOCAL ADAPTATION. Evolution, 67: 3469–3487. doi: 10.1111/evo.12139
- Issue published online: 2 DEC 2013
- Article first published online: 22 MAY 2013
- Accepted manuscript online: 26 APR 2013 04:14PM EST
- Manuscript Accepted: 27 MAR 2013
- Manuscript Received: 15 SEP 2012
|evo12139-sup-0001-FigureS1.pdf||1953K||Figure S1. Within population allele frequencies estimated from bulk assays for 2831 SNPs on the x-axis and corresponding allele frequencies for the same populations (n = 5) as measured by individual genotyping of the same individual (n = 25 individuals per population).|
Table S1. Single nucleotide polymorphism (SNP) markers' categories.
Table S2. Single nucleotide polymorphism (SNP) markers observed (HO) and expected (HE) heterozygosities per population.
Table S3. Summary of the detection of markers potentially under selection using hierarchical Fdist genome scans implemented in ARLEQUIN 3.5 (Excoffier and Lischer 2009).
Table S4. Pairwise measures of genetic differentiation (FST).
Table S5. Blast results from BLAST2GO and gene ontology (GO) terms annotation.
Table S6. Enrichment analysis results testing over- or under-representation of gene ontology (GO) terms.
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