Divergent pattern between phenotypic and genetic variation in Scots pine - Environmental variables and coordinates for each population
SND-ID: 2020-208-4. Version: 1. DOI: https://doi.org/10.5878/45yn-ag55
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David Hall - Umeå University, Ecology and Environmental Science
Umeå University - Ecology and Environmental Science
In this study, we sampled 54 Scots pine populations from the Norwegian coast over the Arctic Circle to western Russia covering 47.3 longitudes or more than 1/8th of the earth’s circumference, which represents the most comprehensive coverage of Northern Europe to date. We inferred variation in autumn phenology and dormancy progression from freeze hardiness tests conducted on >5000 seedlings, of which >900 seedlings from 24 populations were genotyped using genotyping-by-sequencing (GBS). Our main goal was to evaluate adaptive responses in Scots pine at phenotype and genotype levels. Evaluation of cold hardiness along environmental and geographical gradients would contribute to an understanding of the performance of these gradients for predicting freeze damage levels. The genotype data allow evaluation of genetic variance across landscapes and thus shed light on the degree of genetic-environmental association and the recolonization history of Scots pine in Scandinavia.
Environmental variables for each population was extracted based on their latitude and longitude at origin from 68 different high
Environmental variables for each population was extracted based on their latitude and longitude at origin from 68 different high resolution environmental grids. These variables were then used for phenotype- and genotype-environment association analyses. A description of all variables can be found in Table S2 in “Document S1. Supplemental methods, Supplemental Figures 1–4, and Supplemental Tables 1–6.”, available from doi.org/10.1016/j.xplc.2020.100139 Show less..
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Geographic location: Northern Europe
Geographic description: Data from Scots pine seeds collected from Norway, Sweden, Finland, Arkhangelsk- och Komi- regions of Russia
Ecology and Environmental Science
Bioinformatics (computational biology) (Standard för svensk indelning av forskningsämnen 2011)
Genetics (Standard för svensk indelning av forskningsämnen 2011)
Evolutionary biology (Standard för svensk indelning av forskningsämnen 2011)
Forest science (Standard för svensk indelning av forskningsämnen 2011)
Biota (INSPIRE topic categories)
Geoscientific information (INSPIRE topic categories)
Environment (INSPIRE topic categories)
Location (INSPIRE topic categories)
Hall et al. 2021. Divergent pattern between phenotypic and genetic variation in Scots pine. Plant Communications
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