Patterns of Genetic And Epigenetic Diversity Across A Range Expansion in The White-Footed Mouse (Peromyscus Leucopus)

Populations at the leading front of a range expansion must rapidly adapt to novel conditions. Increased epigenetic diversity has been hypothesized to facilitate adaptation and population persistence via non-genetic phenotypic variation, especially if there is reduced genetic diversity when populations expand (i.e., epigenetic diversity compensates for low genetic diversity). In this study, we use the spatial distribution of genetic and epigenetic diversity to test this hypothesis in populations of the white-footed mouse (Peromyscus leucopus) sampled across a purported recent range expansion gradient. We found mixed support for the epigenetic compensation hypothesis and a lack of support for expectations for expansion populations of mice at the range edge, which likely reflects a complex history of expansion in white-footed mice in the Upper Peninsula of Michigan. Specifically, epigenetic diversity was not increased in the population at the purported edge of the range expansion in comparison to the other expansion populations. However, input from an additional ancestral source populations may have increased genetic diversity at this range edge population, counteracting the expected genetic consequences of expansion, as well as reducing the benefit of increased epigenetic diversity at the range edge. Future work will expand the focal populations to include expansion areas with a single founding lineage to test for the robustness of a general trend that supports the hypothesized compensation of reduced genetic diversity by epigenetic variation observed in the expansion population that was founded from a single historical source.

Postglacial colonization in the Great Lakes Region by the white-footed mouse (Peromyscus leucopus): conflicts between genomic and field data

For regions that were covered by ice during the Pleistocene glaciations, species must have emigrated from unglaciated regions. However, it can be difficult to discern when and from what ancestral source populations such expansions took place, especially since warming climates introduce the possibility of very recent expansions. For example, in the Great Lakes region, pronounced climatic change includes past glaciations as well as recent, rapid warming. Here we evaluate different expansion hypotheses with a genomic study of the white-footed mouse (Peromyscus leucopus noveboracensis), which is one of the most common mammals throughout the Great Lakes region. Ecological surveys coupled with historical museum records suggest a recent range expansion of P. leucopus associated with the warming climate over the last decades. These detailed records have yet to be complemented by genomic data that provide the requisite resolution for detecting recent expansion, although some mitochondrial DNA (mtDNA) sequences have suggested possible hypotheses about the geography of expansion. With more than 7,000 loci generated using RADseq, we evaluate support for multiple hypotheses of a geographic expansion in the Upper Peninsula of Michigan (UP). Analysis of a single random single-nucleotide polymorphism per locus revealed a fine-scale population structure separating the Lower Peninsula (LP) population from all other populations in the UP. We also detected a genetic structure that reflects an evolutionary history of postglacial colonization from two different origins into the UP, one coming from the LP and one coming from the west. Instead of supporting a climate-driven range expansion, as suggested by field surveys, our results support more ancient postglacial colonization of the UP from two different ancestral sources. With these results, we offer new insights about P. leucopus geographic expansion history, as well as a more general phylogeographic framework for testing range shifts in the Great Lakes region.

Are geometric morphometric analyses replicable? Evaluating landmark measurement error and its impact on extant and fossil Microtus classification

Geometric morphometric analyses are frequently employed to quantify biological shape and shape variation. Despite the popularity of this technique, quantification of measurement error in geometric morphometric datasets and its impact on statistical results is seldom assessed in the literature. Here, we evaluate error on 2D landmark coordinate configurations of the lower first molar of five North American Microtus (vole) species. We acquired data from the same specimens several times to quantify error from four data acquisition sources: specimen presentation, imaging devices, interobserver variation, and intraobserver variation. We then evaluated the impact of those errors on linear discriminant analysis-based classifications of the five species using recent specimens of known species affinity and fossil specimens of unknown species affinity. Results indicate that data acquisition error can be substantial, sometimes explaining >30% of the total variation among datasets. Comparisons of datasets digitized by different individuals exhibit the greatest discrepancies in landmark precision, and comparison of datasets photographed from different presentation angles yields the greatest discrepancies in species classification results. All error sources impact statistical classification to some extent. For example, no two landmark dataset replicates exhibit the same predicted group memberships of recent or fossil specimens. Our findings emphasize the need to mitigate error as much as possible during geometric morphometric data collection. Though the impact of measurement error on statistical fidelity is likely analysis-specific, we recommend that all geometric morphometric studies standardize specimen imaging equipment, specimen presentations (if analyses are 2D), and landmark digitizers to reduce error and subsequent analytical misinterpretations.