Inferring microevolution from museum collections and resampling: lessons learned from Cepaea
- Published
- Accepted
- Subject Areas
- Environmental Sciences, Evolutionary Studies, Zoology
- Keywords
- HIREC, snails, natural selection, natural history collections, colour polymorphism, time series, evolutionary trends, population genetics
- Copyright
- © 2016 Ożgo et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Inferring microevolution from museum collections and resampling: lessons learned from Cepaea. PeerJ Preprints 4:e2304v1 https://doi.org/10.7287/peerj.preprints.2304v1
Abstract
Studies documenting Human-Induced Rapid Evolutionary Change (HIREC) routinely compare contemporary allele or morph frequency distributions with historical baselines. All too often, this involves the re-sampling of a population that was sampled at a single time point in the past. However, year-to-year fluctuations in magnitude and direction of evolutionary response may make such studies prone to erroneous conclusions, where long-term evolutionary trends are inferred from what in fact are short-term fluctuations. Here, we explore this problem by re-sampling three Dutch populations of the land snail Cepaea nemoralis, whose shell colour polymorphism is known to be under thermal and predatory selection. Each of these three populations was originally sampled in at least two different years in the past. We show that conclusions on evolutionary change are strongly dependent on which of the historical sample dates is used for comparison with the contemporary sample. Our study highlights the fact that year-to-year variation in allele frequencies may often be so strong that a simple two-point comparison is unreliable to detect long-term evolutionary trends.
Author Comment
This is a submission to PeerJ for review.
Supplemental Information
Supplementary Data 1
Supplementary Data 1. R scripts for the analyses.
Supplementary Data 2
Supplementary Data 2. Full details of the original and the resampled collections from Lobith, including a photo of the contemporary habitat.
Supplementary Data 3
Supplementary Data 3. Full details of the original and the resampled collections from Empe, including a photo of the contemporary habitats.
Supplementary Data 4
Supplementary Data 4. Full details of the original and the resampled collections from Allemansgeest, including a photo of the contemporary habitat.