Dmitri A. Petrov

This study identifies a STAG2-PAXIP1/PAGR1 tumor-suppressive axis in lung cancer by showing their combined role in suppressing oncogenic KRAS-driven tumorigenesis.

The paper assesses fitness effects of 9,000 natural variants in yeast signaling pathways, finding that many non-neutral variants show signs of local adaptation.

The paper tracks adaptive genetic changes in Drosophila melanogaster under fluctuating selection pressures, revealing rapid, parallel genomic responses and predictable selection targets over time.

The paper develops a computational method to correct barcode processing biases in bulk fitness assays, improving fitness estimates in yeast variant libraries.

The paper presents 183 new genome assemblies for 179 drosophilid species using single-fly long-read sequencing, improving phylogenomic coverage and enabling a well-resolved multi-locus phylogeny.

The paper tracks yeast lineages in static and fluctuating environments, finding fitness deviations and environmental memory effects due to prior conditions.

This study shows that early adaptive mutations in yeast are pleiotropic, while later mutations are modular, focusing on respiration over fermentation.

This paper introduces a Bayesian framework to infer microbial fitness from lineage tracking assays, accounting for noise and scaling to large datasets.

This study investigates gut microbiome colonization dynamics after antibiotic use, finding prolonged delays in microbial transmission and ecological barriers to colonization.

The paper identifies extrachromosomal DNA enriched with var genes in Plasmodium falciparum, suggesting a mechanism for rapid antigenic diversification.

The paper presents chromosome-level genome assemblies for the snow leopard, African leopard, and tiger to support evolutionary and conservation research.

The paper investigates how common host red blood cell variation affects Plasmodium falciparum parasite growth in healthy humans, finding that non-pathogenic polymorphisms in RBC proteins significantly explain parasite fitness variation.

The paper develops a bioinformatics pipeline to integrate Drosophila melanogaster genomic data from diverse sources, creating a large dataset called DEST for population genetics analysis.

This study analyzes tiger genomes to understand their evolutionary history, finding genetic differentiation, recent divergence, and selection pressures in different subspecies.

The paper updates metadata for four misidentified samples in the DrosRTEC dataset using PCA and DAPC analysis of published datasets.

The paper introduces a machine learning method to detect somatic L1 insertions in human brain tissue, revealing their widespread distribution in neurons and glia and potential role in neuropsychiatric diseases.

The paper presents a chromosome-level genome assembly for the African lion using linked-read, Hi-C, and long-read data, revealing population history insights.

This paper develops a cost-effective genotyping method using low-quality DNA samples for conservation applications, demonstrating its utility in identifying tigers and tracking conch trade.

The paper identifies cis-regulatory divergence in eloF as a driver of sexual isolation in Drosophila by analyzing RNA-seq data from hybrids of D. simulans and D. sechellia.

The paper identifies tripolar mitosis as a mechanism causing aneuploidy in human embryos and links it to maternal PLK4 genetic variants.

This paper presents a cost-effective method to assemble high-quality genomes for the African wild dog using linked-read sequencing, highlighting its high heterozygosity and potential applications in conservation genetics.

The paper identifies RNA viruses as drivers of adaptive introgressions between Neanderthals and modern humans, showing that genes inherited from Neanderthals provided resistance to viruses in new environments.

The paper uses deep genomic sequencing in Drosophila to quantify selection on synonymous sites, finding strong codon usage bias selection that challenges the Li-Bulmer model.