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Published on: May 13, 2016
Intercontinental genomic parallelism in multiple three-spined stickleback adaptive radiations
Isabel S Magalhaes1,2, James R Whiting3,4, Daniele D'Agostino5
1School of Life Sciences, University of Nottingham, University Park, Nottingham, UK. isabel.magalhaes@roehampton.ac.uk.
Genomic parallelism in stickleback fish radiations predicts adaptation. Similar environments, not just similar traits, drive parallel evolution from standing genetic variation across continents.
Area of Science:
- Evolutionary biology
- Genomics
- Ecology
Background:
- Parallelism, the evolution of similar traits in similar conditions, offers insights into adaptation by natural selection.
- Previous studies often used predefined environments, potentially overestimating parallelism.
- Understanding genomic parallelism requires analyzing continuous environmental and phenotypic variation.
Purpose of the Study:
- To estimate genomic parallelism across intercontinental freshwater adaptive radiations of three-spined stickleback (Gasterosteus aculeatus).
- To associate genome-wide allele frequencies with continuous environmental and phenotypic variation.
- To determine predictors of genomic parallelism at a large geographic scale.
Main Methods:
- Large-scale biological sampling and phenotyping of 1,380 three-spined sticklebacks from 73 freshwater and 4 marine populations.
- Restriction site associated DNA sequencing (RAD-Seq) to generate genome-wide allele frequency data.
- Statistical association of allele frequencies with continuous environmental and phenotypic data.
Main Results:
- Quantitative variation in phenotypes and environments can predict genomic parallelism.
- Genomic parallelism in early adaptive radiations is based on standing genetic variation.
- Environmental similarity is a stronger predictor of genome-wide parallelism than phenotypic similarity.
Conclusions:
- Environmental and phenotypic factors significantly predict genomic divergence patterns.
- Continuous variation analysis provides a clearer understanding of genomic parallelism than dichotomous approaches.
- This study highlights the predictive power of environmental factors in shaping parallel evolution.
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