Dmitri A. Petrov

The paper shows non-additive interactions among three intronic SNPs in the cpo gene affect life history traits and climatic adaptation in Drosophila melanogaster.

The paper tests how environmental order affects the fitness of yeast mutants and finds that overall fitness is largely invariant to order due to compensatory history-dependent effects.

The paper analyzes ~9,100 tumors across 32 cancer types to determine if the transcriptional response to tumor mutational burden (TMB) is consistent across tissues, finding it to be largely consistent within each cancer type.

The paper shows CDV persists in Arctic foxes for over a decade and spreads across species and regions, connecting North America to Eurasia.

This study shows tumor suppressor genotype affects immune cell recruitment and tumor growth in KRAS-driven lung cancer with varying neoantigen expression.

This study sequenced whole genomes of black-footed cats to analyze their population structure and genetic diversity, finding low diversity but no long runs of homozygosity and evidence of recent population contraction.

This study uses genomic data from Drosophila melanogaster to show how fitness trade-offs manifest under fluctuating selection, identifying genomic regions linked to reproduction and stress tolerance.

The paper annotates protein-coding genes in 301 Drosophilidae species and analyzes evolutionary patterns in gene number and codon usage.

This paper introduces a geometric deep learning method to model phenotype-to-fitness maps, showing it outperforms linear methods in capturing nonlinear structure and predicting fitness landscapes.

The paper studies intra-species diversity in microbial communities by competing gut strains, finding strong selection and coexistence due to biotic interactions.

This study maps the genetic architecture of pigmentation evolution in Drosophila melanogaster and finds that while trait direction can be predicted, the specific loci involved are unpredictable and the genotype-phenotype map is stable across populations.

This study shows aging suppresses lung tumor initiation and growth in mice, with age-dependent effects on tumor suppressor genes like PTEN and persistent age-related transcriptomic changes in tumors.

This study shows that high initial fitness is necessary but not sufficient for long-term success in yeast, as adaptive mutations can override small fitness differences.

This study uses whole-genome sequencing of 41 snow leopards to show they have the lowest genetic diversity of any big cat species due to long-term small population size, not recent inbreeding.

The paper identifies HBO1 and MLL1 complexes as key tumor suppressors in lung cancer using in vivo functional screens of epigenetic regulators.

The paper investigates functional differences between EML4-ALK variants V1 and V3 in lung cancer using mouse models and human data, showing variant-specific effects on tumorigenesis.

The paper shows that beneficial reversal of dominance at the Ace locus in Drosophila melanogaster allows resistant alleles to persist under fluctuating insecticide selection.

This study shows that resource variation in Drosophila melanogaster affects phenotypic and genomic evolution but is secondary to seasonal selective pressures, with adaptation to resource environments being trait-specific.

The paper uses DEST 2.0 to analyze genetic variation in D. melanogaster across continents and time, identifying adaptation patterns and stable spatial genetic structures.

This study develops transgenic Cas12a mice to enable efficient, multiplexed somatic genome editing for studying complex genetic interactions in vivo.

The paper identifies ZMAT3 and CDKN1A as key hubs in the p53 tumor suppression network through integrative multiomic analyses in a mouse model.

The paper shows ultra-long long-read sequencing is needed for accurate structural variant calling in Drosophila melanogaster.

This study shows that Drosophila melanogaster pigmentation adapts rapidly and deterministically to environmental gradients across multiple timescales through distinct genetic components.

The paper uses yeast mutants to show that fitness can be predicted by low-dimensional genotype-phenotype-fitness maps across environments, supporting a limiting functions model of fitness.

The paper estimates de novo mutation rates in Panthera and Neofelis species using pedigrees, finding rates between 0.5 and 1.4e-08 per generation per base pair.

This study shows how initial population size and resource competition shape gut microbial community coalescence, with dose-dependent effects persisting even after many generations.

The paper uses whole-genome sequencing of historical and recent lion populations to show population fragmentation and genetic diversity loss in East Africa over the past century.

The paper uses in vivo genome editing to study genetic interactions in lung cancer, finding widespread negative epistasis among tumor suppressor genes.

The paper develops a SNP panel for identifying snow leopard individuals from fecal samples, validated with zoo and field samples, showing high accuracy and utility for population assessment.

This paper develops a SNP selection pipeline, mPCRselect, to design cost-effective SNP panels for population assignment and individual identification in non-model species.