Parul Johri

The paper introduces Bvalcalc, a tool to calculate B-values, which quantify the effect of background selection on genetic diversity, and validates it using simulations and public data.

The paper estimates the distribution of fitness effects of new mutations in regulatory regions of D. melanogaster genomes and finds they contribute more deleterious and beneficial mutations than coding regions.

This paper models within- and between-host evolution in pathogens, showing that bottlenecks reduce within-host variation and skew site frequency spectra, suggesting biases in population genetic inference.

The paper shows that weakly selected QTLs linked to regions with associative overdominance can increase additive genetic variance, but recessive deleterious alleles may reduce fitness when exposed by selection.

The paper identifies key components for building a baseline evolutionary model of Plasmodium falciparum to better understand genomic variation and drug resistance.

This study uses genomic data to show that climate and sea-level changes drove lineage diversification in Venus flytraps, with population declines linked to historical climate optima and human impacts.

The paper analyzes the spread of Plasmodium falciparum with hrp2/3 deletions in Peru, finding that demographic changes from malaria control and potential selection pressures drove their fixation.

This study evaluates how rescaling population genetic simulations affects evolutionary dynamics in Drosophila-like populations, finding biases in summary statistics under certain conditions.

The paper compares the gene model and sites model of fitness, showing the gene model leads to lower genetic load and smaller inbreeding load, suggesting overestimation of inbreeding depression.

The paper compares two models of mutation effects on fitness, showing the gene model predicts positive linkage disequilibrium where the sites model predicts zero or negative LD.

This study shows that Hill-Robertson interference in highly selfing species biases the inference of mutation fitness effects, leading to misestimation of selection coefficients and adaptive substitution rates.

This study derives the site frequency spectrum (SFS) during selective sweeps in non-recombining populations, showing power law behaviors and their dependence on selection strength and clonal interference.

This study assesses how selection affects demographic inference using ARG-based methods in human and Drosophila populations, finding minimal impact in humans but significant issues in Drosophila.

The paper evaluates the power to detect recurrent selective sweeps under realistic evolutionary models and finds low detection power despite reduced false positives.