Jesse R. Lasky

The paper examines geographic variation in flower size in Arabidopsis thaliana, finding polygenic control and environmental influences on evolutionary direction.

This study examines the effects of strigolactone mutants in Sorghum bicolor on ecophysiology and symbioses, revealing trade-offs in parasitic plant resistance and mycorrhizal interactions.

The paper shows a trade-off between competitive ability and host colonization in Pseudomonas populations has persisted for centuries.

This study examines local adaptation in Arabidopsis thaliana across East African sky-islands, finding limited parallel adaptation and evidence of divergent selection based on climate.

This study identifies genomic regions and variant types associated with local adaptation in sorghum using genotype-environment associations, highlighting the importance of cis-regulatory elements.

This study simulates nuclear winter conditions in growth chambers to assess crop yields, finding that wheat fails under temperate conditions while canola remains viable.

The paper examines how phenotypic plasticity in Populus species affects fitness under climate warming, finding that higher plasticity is maladaptive in warmer environments.

This study analyzes the population genomic structure of sorghum landraces to determine how environmental and cultural factors influence genetic diversity across different regions and time periods.

The paper predicts geographic shifts in hybrid Populus zones based on temperature response variation in admixed genotypes.

The paper identifies mechanisms of local adaptation in cheatgrass invasion, showing multiple introductions and gene flow contributed to its success in North America.

The paper investigates whether genetic variation in flowering and germination timing from controlled experiments predicts phenology in wild Arabidopsis thaliana.

This study shows sorghum plants alter their physiology in response to neighboring plants through belowground signaling via leachates, affecting growth and productivity.

The paper validates genome-environment associations in Arabidopsis by testing 42 GEA-identified genes under drought, finding 16 had significant effects on adaptive traits or GxE interactions.

This study uses machine learning to predict gene expression responses to cold stress in Arabidopsis thaliana based on DNA sequence variation, finding moderate accuracy but highlighting challenges from regulatory complexity.

This study uses museum specimens and field collections of Arabidopsis thaliana to analyze genetic diversity and temporal changes, finding genetic stasis and mixed signals of adaptation.

The paper investigates how environmental changes and microbial treatments affect root exudates and fungal communities in a tropical tree, finding that soil microbial legacy and moisture influence metabolite diversity, while antimicrobial treatments alter metabolite composition and fungal community structure.

The paper demonstrates how a global pangenomic breeding network can develop and deploy drought and pest-resistant sorghum varieties for smallholder farmers in Niger.

This paper constructs a sorghum pangenome and identifies trait-associated variants to inform climate-aware genome-enabled breeding strategies.

The paper examines how nonphotochemical quenching (NPQ) varies with abiotic stressors and developmental stages across plant species, revealing species- and genotype-specific responses.

This study shows that developmental timing affects genotype-environment interactions and drought adaptation in Arabidopsis, with genetic tradeoffs maintaining diversity across climates.

This study assesses how landraces of four cereal crops would maladapt to soot-induced climate changes following a global catastrophe using climate models and genomic data.

This study shows that soil microbiome changes under warming conditions significantly affect leaf heat tolerance in tropical plants, with fungal pathogens playing a key role.

This study assembles and annotates the genome of Poa trivialis and analyzes population genomics to reveal gene flow and human-assisted dispersal in seed production systems.

The paper presents the reference genome of Chinese chestnut (C. mollissima) to aid in the restoration of threatened chestnut species by providing insights into disease resistance and genome evolution.

This study compares multivariate and univariate methods for detecting adaptive loci using genotype-environment associations, finding constrained ordinations perform best for weak multilocus selection.

The paper develops a genome-wide association model to integrate common garden experiments and genome-environment associations to identify loci involved in local adaptation.