Data from: Seascape genomics provides evidence for thermal adaptation and current-mediated population structure in American lobster (Homarus americanus)
- Description:
- Investigating how environmental features shape the genetic structure of populations is crucial for understanding how they are potentially adapted to their habitats, as well as for sound management. In this study, we assessed the relative importance of spatial distribution, ocean currents and sea surface temperature (SST) on patterns of putatively neutral and adaptive genetic variation among American lobster from 19 locations using population differentiation (PD) approaches combined with environmental association (EA) analyses. First, PD approaches (using bayescan, arlequin and outflank) found 28 outlier SNPs putatively under divergent selection and 9770 neutral SNPs in common. Redundancy analysis revealed that spatial distribution, ocean current-mediated larval connectivity and SST explained 31.7% of the neutral genetic differentiation, with ocean currents driving the majority of this relationship (21.0%). After removing the influence of spatial distribution, no SST were significant for putatively neutral genetic variation whereas minimum annual SST still had a significant impact and explained 8.1% of the putatively adaptive genetic variation. Second, EA analyses (using Pearson correlation tests, bayescenv and lfmm) jointly identified seven SNPs as candidates for thermal adaptation. Covariation at these SNPs was assessed with a spatial multivariate analysis that highlighted a significant temperature association, after accounting for the influence of spatial distribution. Among the 505 candidate SNPs detected by at least one of the three approaches, we discovered three polymorphisms located in genes previously shown to play a role in thermal adaptation. Our results have implications for the management of the American lobster and provide a foundation on which to predict how this species will cope with climate change.
Usage Notes:13688snps-562individus.recode
The file contains 13,688 SNPs and 562 individuals.RDA-selection
The script used for performing RDA on the putatively under selection SNPs.scrip-rda-selection-legendre.RRDA-neutral
The script used for performing RDA on the putatively neutral SNPs.scrip-rda-neutral.R9770snps-neutral.frq
The file containing all the allele frequencies for the putatively neutral SNPs.28snps-562ind-freq.frq
The file containing all the allele frequencies for the putatively neutral SNPs.script-outflank
The script used for running OUTFLANKbayescan-13688snps-562ind 2
The file used to run Bayescan.script_bayescan_laura
The script used to analyse bayescan results.arlequin-13688snps-562ind
The file use dot run Arlequin.AEM_vectors
The output of the AEM analysis.aem-19pop
The input to calculate AEM vectorsGeographical_data
The spatial distribution data file used to calculate dbMEMEnvironmental
The sea surface temperature data.script-AEM
The file used to visualize AEM vectors.freq-allelic-13688snps.txt.frq
All the allele frequencies at each SNP used to perform correlation tests.8094loci
All the sequence used to perform a BLAST search. - , , , , , , , Bernatchez, Louis, and
- Source Repository:
- Dryad
- Publisher(s):
- Dryad
- Access:
- Public
- URL:
- http://datadryad.org/stash/dataset/doi:10.5061/dryad.5vb8v
- Publication date:
- 2016-09-08
- Keywords:
- Identifier:
- https://doi.org/10.5061/dryad.5vb8v
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