Range-wide climate risk and adaptive potential in an iconic cold-water species (Part 2/2)
Data files
Oct 21, 2025 version files 188.14 GB
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PLATE_1.zip
79.26 GB
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PLATE_2.zip
63.53 GB
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PLATE_3.zip
45.35 GB
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README.md
3.31 KB
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RNAseqBTSampleInfo.csv
29.82 KB
Abstract
Predicting extinction risk from climate change requires understanding adaptive variation and local adaptation across species’ ranges. We combine experimental and -omics approaches with climate change modeling to identify molecular mechanisms of local adaptation to heat stress in brook trout, a coldwater species experiencing extirpations due to warming temperatures. We identify genomic variation corresponding with thermal conditions across the native range, suggesting local adaptation, and experimentally identify variants linked with gene expression responses to thermal stress. Using climate projections, we find that southern brook trout populations are the most vulnerable to extirpation from climate warming and mid-range populations are the most promising candidates for receiving assisted gene flow to improve climate resilience. Together, this work highlights the importance of genomic information in managing populations threatened by climate change. This is Part 2 of the full dataset, containing the RNAseq dataset.
Dataset DOI: 10.5061/dryad.nk98sf84m
This is one of two datasets related to the same study:
- Part 1 contains all of the RADseq data, https://doi.org/10.5061/dryad.sj3tx96fs
- Part 2 (this data) contains all of the RNAseq data, https://doi.org/10.5061/dryad.nk98sf84m
Description of the data and file structure
The code and RNAseq data associated with Meek et al. Nature Communications 2025 manuscript.
Zipped files:
- PLATE_1.zip 79.26 GB - contains the demultiplexed RNAseq sequences for each individual in Plate 1. The sample ID of the individual is in the file name (e.g. "44B*").
- PLATE_2.zip 63.53 GB - contains the demultiplexed RNAseq sequences for each individual in Plate 2. The sample ID of the individual is in the file name (e.g. "44B").
- PLATE_3.zip 4 - contains the demultiplexed RNAseq sequences for each individual in Plate 3. The sample ID of the individual is in the file name (e.g. "44B").
Files and variables
Description: All RNAseq data generated on individuals used in the brook trout common garden experiment in Meek et al. Nature Communications 2025.
File: RNAseqBTSampleInfo.csv
Metadata: "RNAseqBTSampleInfo"
Column headers for metadata:
| Variable | Description |
|---|---|
| SampleID | Individual sample ID |
| GONADwt | Gonad weight in grams |
| Sex | Male or female |
| Tag | Individual tag number |
| TagColor | Tag color |
| Lake | Lake sampled from |
| Stratified | Stratified lake or unstratified |
| TankNumber | Tank number |
| Treatment | Cold or hot treatment |
| Age | Age of fish in years |
| AgeMethod | Method of aging fish |
| LengthE | Length of fish |
| WtE | Weight in grams |
| SampleTime | Time of sampling |
| DateSampled | Date of sampling |
| ExperimentDaySampled | Day of treamtment--3, 9 or 15 days of exposure to treatment |
blank cells = NA
Code/software
"BrookTroutCommonGardenExperimentScripts.zip" (included in the dataset https://doi.org/10.5061/dryad.sj3tx96fs) contains the scripts to process the RNAseq data and do the eQTL analysis for the common garden experiment as described in Meek et al. Nature Communications 2025.
