Data · dataset · 2021
Data from: Genetic evidence for ecological divergence in kokanee salmon
Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/aojhqn
Description
Abstract
The evolution of locally adapted phenotypes among populations that experience divergent selective pressures is a central mechanism for generating and maintaining biodiversity. Recently, the advent of high-throughput DNA sequencing technology has provided tools for investigating the genetic basis of this process in natural populations of non-model organisms. Kokanee, the freshwater form of sockeye salmon (Oncorhynchus nerka), occurs as two reproductive ecotypes, which differ in spawning habitat (tributaries vs. shorelines), however outside of the spawning season the two ecotypes co-occur in many lakes and lack diagnostic morphological characteristics.
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We used restriction site associated DNA (RAD) sequencing to identify 6,145 SNPs and genotype kokanee from multiple spawning sites in Okanagan Lake (British Columbia, Canada). Outlier tests revealed 18 loci putatively under divergent selection between ecotypes, all of which exhibited temporally stable allele frequencies within ecotypes. Six outliers were annotated to sequences in the NCBI database, two of which matched genes associated with early development.
There was no evidence for neutral genetic differentiation, however, outlier loci demonstrated significant structure with respect to ecotype and had high assignment accuracy in mixed composition simulations. The absence of neutral structure combined with a small number of highly divergent outlier loci is consistent with theoretical predictions for the early stages of ecological divergence. These outlier loci were then applied to a realistic fisheries scenario in which additional RAD sequencing was used to genotype kokanee collected by trawl in Okanagan Lake, providing preliminary evidence that this approach may be an effective tool for conservation and management.
Usage notes
Data S1. All SNPs Multi-locus SNP data for all individuals of known ecotype (stream-spawning and shore-spawning) at 6,145 SNP loci identified in this study. Data are presented in two-row Structure format; the first column contains sample names, the second column contains a number indicating the ecotype of origin (1=stream, 2=shore), the remaining columns contain genotypes with “-9” used to indicate missing data.
Sample names use the following convention: -The first two characters indicate either the Stream (St) or Shore (Sh) ecotype. -The second two characters indicate the sample location: Mission Creek (MK), Peachland Creek (PA), Powers Creek (PW), Penticton Creek (PN), Northeast shore (NE), Northwest shore (NW), Southeast shore (SE). -The four characters following the underscore indicate the year that samples were collected (either 2007 or 2010). -The final characters following the hyphen indicate the unique sample ID number for the ecotype, location, and year.
Data S2. Oultier Loci Multi-locus SNP data for all individuals of known ecotype and all trawl samples at the 18 outlier loci identified in this study. Data are presented in two-row Structure format; the first column contains sample names, the second column contains a number indicating the treatment (1=stream, 2=shore, 3=trawl), the remaining columns contain genotypes with “-9” used to indicate missing data.
Sample names use the following convention: -The first two characters indicate either the Stream (St) or Shore (Sh) ecotype. -The second two characters indicate the sample location: Mission Creek (MK), Peachland Creek (PA), Powers Creek (PW), Penticton Creek (PN), Northeast shore (NE), Northwest shore (NW), Southeast shore (SE). -The four characters following the underscore indicate the year that samples were collected (either 2007 or 2010). -The final characters following the hyphen indicate the unique sample ID number for the ecotype, location, and year. -'Tr' is used to indicate samples of unknown ecotype that were collected by trawl.
Links
Where it is published
- Dataverse dataset page borealisdata.ca/dataset.xhtml?persistentId=doi%3A10.5683%2FSP2%2FAOJHQN ↗
landing page · from borealisdata ca
- DOI doi.org/10.5683/sp2/aojhqn ↗
DOI / persistent id · from borealisdata ca
Catalogue records · 1
- Dataverse API borealisdata.ca/api/datasets/:persistentId/?persistentId=doi%3A10.5683%2FSP2%2… ↗
metadata API · from borealisdata ca
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Evolutionary ecology 77% · Sequencing 75%
Provenance · 2 source records, 22 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Borealis | doi:10.5683/SP2/AOJHQN | 10 d ago | JSON v1 |
| Agri-environmental Research Data Dataverse | doi:10.5683/SP2/AOJHQN | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:310405 | enrichment · borealisdata ca | taxonomy-embedding@1.0.0 | title+keywords+description (77%) |
| concepts[field].dataverse_subject:other | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].dataverse_subject:other | source · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · borealisdata ca | connector:borealisdata_ca@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · borealisdata ca dataverse | connector:borealisdata_ca_dataverse@1.0.0 | /subjects |
| concepts[modality].local:modality:sequencing | enrichment · borealisdata ca | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| description | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /description |
| publication_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| title | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | /name |
| updated_date | source · borealisdata ca | connector:borealisdata_ca@1.0.0 | |
| version_label | source · borealisdata ca | connector:borealisdata_ca@1.0.0 |