V. Buffalo

A Quantitative Genetic Model of Background Selection in Humans

This paper develops a quantitative genetic model to estimate purifying selection parameters from linked selection in humans, finding strong selection across samples but uncertainty in predicting divergence levels.

Experimental evolution reveals the synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod

This study identifies genetic variation enabling copepod adaptation to ocean warming, acidification, and their combination over 25 generations, revealing synergistic genomic responses to multiple stressors.

Why do species get a thin slice of π? Revisiting Lewontin's Paradox of Variation

The paper reassesses Lewontin's Paradox of Variation by analyzing the relationship between genetic diversity and population size across species, finding that linked selection models cannot fully explain the observed patterns.

Estimating the genome-wide contribution of selection to temporal allele frequency change

The paper estimates the genome-wide contribution of selection to temporal allele frequency change using covariance analysis in selection experiments, finding 17-37% of change driven by selection.

The Linked Selection Signature of Rapid Adaptation in Temporal Genomic Data

This paper develops a method to estimate additive genetic variation and population parameters from temporal genomic data by analyzing autocovariances caused by linked selection.