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Nolfo-Clements, L. E.

Publications and source records attributed to Nolfo-Clements, L. E..

2 recordsLinked to original sources

Evolution of mutational fitness effects in island populations

The distribution of fitness effects (DFE) quantifies the selective consequences of newly arising mutations. Theoretical and empirical investigations of the DFE suggest that it is highly context-specific, shaped by both intrinsic properties of an organism (e.g., biological complexity) and extrinsic properties of a population (e.g., environment). Despite recent comparisons of the DFE between populations and species, little is known about how this distribution changes over shorter evolutionary timescales. Islands provide a powerful framework for understanding the impact of recent shifts in selection on the DFE, as founding populations often experience abrupt environmental changes. Using whole-genome, population-level sequence data, we investigate how such extreme transitions shape the DFE in two island radiations of Peromyscus mice: white-footed mice (P. leucopus) in Massachusettss Boston Harbor and deer mice (P. maniculatus) in the Gulf Islands of British Columbia. To measure the extent to which the selective effects of mutations have diverged between island and mainland populations, we leverage recent advances that extend DFE inference to multiple populations. By reconstructing the "joint DFE", we estimate both the strength of selection acting on distinct mutational classes and the correlation in mutational fitness effects between populations. We find that mutational fitness effects have diverged between island and mainland populations, despite the relative recency of these radiations. Comparisons between island populations, which reveal higher fitness effect correlations, suggest that this feature of the joint DFE captures broad-scale divergence in the environment populations inhabit. Together, our discoveries provide a rare empirical example of divergent environments shaping genome-wide patterns of fitness-affecting genetic variation in natural populations.

evolutionary biology↗

Population history across timescales in an urban archipelago

Contemporary patterns of genetic variation reflect the cumulative history of a population. Population splitting, migration, and changes in population size leave genomic signals that enable their characterization. Existing methods aimed at reconstructing these features of demographic history are often restricted in their temporal resolution, leaving gaps about how basic evolutionary parameters change over time. To illustrate the prospects for extracting insights about dynamic population histories, we turn to a system that has undergone dramatic changes on both geological and contemporary timescales - an urbanized, near-shore archipelago. Using whole genome sequences, we employed both common and novel summaries of variation to infer the demographic history of three populations of endemic white-footed mice (Peromyscus leucopus) in Massachusetts Boston Harbor. We find informative contrasts among the inferences drawn from these distinct patterns of diversity. While demographic models that fit the joint site frequency spectrum (jSFS) coincide with the known geological history of the Boston Harbor, patterns of linkage disequilibrium reveal collapses in population size on contemporary timescales that are not recovered by our candidate models. Historical migration between populations is also absent from best-fitting models for the jSFS, but rare variants show unusual clustering along the genome within individual mice, a pattern that is reproduced by simulations of recent migration. Together, our findings indicate that these urban archipelago populations have been shaped by both ancient geological processes and recent human influence. More broadly, our study demonstrates that the temporal resolution of demographic history can be extended by examining multiple facets of genomic variation. Significance StatementDetailed information about a populations history can be obtained by studying patterns of genomic variation, but these insights can be limited in their temporal scope. Our investigation of white-footed mice in the urban Boston Harbor archipelago demonstrates how combining multiple summaries of genomic variation enables a more complete reconstruction of population history over both the recent and distant past.

evolutionary biology↗