UBC Research Data

Data from: Assessing reproductive isolation using a contact zone between parapatric lake-stream stickleback ecotypes Hanson, Dieta; Moore, Jean-Sébastien; Taylor, Eric B.; Barrett, Rowan D.H.; Hendry, Andrew P.; Moore, J.-S.; Barrett, R. D. H.

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Abstract
Ecological speciation occurs when populations evolve reproductive isolation as a result of divergent natural selection. This isolation can be influenced by many potential reproductive barriers, including selection against hybrids, selection against migrants, and assortative mating. How and when these barriers act and interact in nature is understood for relatively few empirical systems. We used a mark-recapture experiment in a contact zone between lake and stream three-spined sticklebacks (Gasterosteus aculeatus, Linnaeus) to evaluate the occurrence of hybrids (allowing inferences about reproductive isolation), the inter-annual survival of hybrids (allowing inferences about selection against hybrids), and the shift in lake-like versus stream-like characteristics (allowing inferences about selection against migrants). Genetic and morphological data suggest the occurrence of hybrids and no selection against hybrids in general, a result contradictory to a number of other studies of sticklebacks. However, we did find selection against more lake-like individuals, suggesting a barrier to gene flow from the lake into the stream. Combined with previous work on this system, our results suggest that multiple (most weakly and often asymmetric) barriers must be combining to yield substantial restrictions on gene flow. This work provides evidence of a reproductive barrier in lake-stream sticklebacks and highlights the value of assessing multiple reproductive barriers in natural contexts.; Usage notes
Allele scoresAllele scores for all fish included in studyallele_scores.txt
Individual fish dataMetadata for each fish including individual id, year caught, and habitatindividual_fish_data.csv
Landmark dataLandmark data for all fish included in geometric morphometric analysislandmark_data.csv

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