Thomas Juenger

The paper identifies a supernumerary B-Chromosome in Atlantic switchgrass, showing its evolutionary origin and impact on gene expression and genomic diversity.

This study integrates multi-omic data with interpretable machine learning to identify genetic mechanisms underlying trait variation and phenotypic plasticity in switchgrass across environments.

This study breeds microbiomes that confer salt tolerance to plants by selecting for beneficial microbial communities, showing increased seed weight and reduced sodium concentration in treated plants.

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

The paper examines local adaptation between switchgrass and its rust pathogen across North America, finding that both host and parasite can be locally adapted despite varying genetic loci associated with rust severity.

This study observes rapid genetic adaptation and population dynamics in Arabidopsis thaliana across diverse climates over 5 years, showing predictable adaptation trends linked to survival and extinction risks.

The paper introduces a quantitative genetics model to measure spatial sorting strength, finding it comparable to natural selection gradients in a soapberry bug recolonization study.

The paper identifies genotype-by-weather interactions in switchgrass by analyzing phenological timings across multiple environments and weather cues.

The paper identifies geographic variation in the genetic basis of rust resistance in switchgrass, finding two large-effect QTLs and epistatic interactions that vary with location.

The paper uses MET phenotypic data from common bean to discover genetic associations and genomic regions linked to agronomic traits over time.

The paper identifies genetic loci, genes, and coexpression modules associated with life history trait variation in Daphnia pulex using genotyping, RNA-Seq, and phenotyping.