M. Przeworski

The study analyzes recombination patterns in corn snakes to show that both PRDM9 and promoter-like features influence recombination, revealing a competitive interaction between these mechanisms.

The paper models how PRDM9's role in coupling DSB formation and repair drives the evolution of fewer, stronger recombination hotspots.

The paper examines how changes in generation time affect human mutation spectra, finding that such changes cannot fully explain observed mutation patterns, suggesting other factors are involved.

The paper identifies genes coevolving with PRDM9 across vertebrates, suggesting ZCWPW1 and ZCWPW2 as key interactors in meiotic recombination.

The paper examines paternal bias in germline mutations across 42 amniote species and finds a consistent paternal-to-maternal mutation ratio despite varying gametogenesis and environments.

The paper uses mutation saturation at CpG sites to identify deleterious mutations by analyzing polymorphism absence in large exome datasets.

This study generates a genome assembly for Acropora millepora and identifies genetic predictors of bleaching using genome-wide association analysis.

This paper compares germline mutation rates between humans and baboons, finding similar male mutation bias despite differences in reproductive timing, challenging the cell division hypothesis.

The persistence of hybrid ancestry is predictable from local recombination rates in three replicate hybrid populations and in humans.

The paper identifies genetic variants affecting viability by analyzing large cohorts, finding few common variants with large effects on age-specific mortality and sex-specific differences.

The paper identifies PRDM9 orthologs across 225 vertebrate species and finds repeated losses of PRDM9-directed recombination despite its conservation, linking complete orthologs to rapid evolution of binding affinity.

The paper compares mutation rate determinants in germline and somatic tissues, finding shared factors but contrasting effects of expression levels on mutation rates in ovaries/testes versus tumors.