Guy Sella

TL;DR: Several models of essential worker interactions within a standard epidemiology framework are evaluated, finding that essential workers are at substantially elevated risk of infection compared to the rest of the population, and that increasing the numbers of essential workers necessitates the imposition of more stringent interaction controls on the rest the population in order to manage the pandemic.

TL;DR: Here, coalescent models for polymorphism and divergence are introduced under the most common experimental evolution assay, a serial transfer experiment, and the implications for experiments aimed at measuring diversity patterns and making inferences about population genetic processes based on these measurements are emphasized.

TL;DR: This paper highlights another factor: information sharing, which is not subject to the intrinsic conservation laws that characterize the sharing of physical resources and can result in individuals that both receive more information about their environment and pay less for it.

TL;DR: The authors fit a model of the joint effects of selective sweeps and background selection to autosomal polymorphism data from the 1000 Genomes Project and found that background selection is the dominant mode of linked selection in humans, with marked effects on diversity levels throughout autosomes.

TL;DR: A probabilistic model that combines mutation, drift, and stabilizing selection at individual sites with a genome-scale model of phenotypic variation is described and implies that differences in architectures of highly polygenic traits arise mainly from the two scaling parameters: the mutational target size and heritability per site, which vary by orders of magnitude across traits.