Jason G. Wallace

The paper develops a rhizobacterial biosensor platform, Suc-MAPP, to spatially map sucrose exudation from plant roots and identifies genetic design rules for engineered exudation.

The paper investigates how host genotype and environment interact to shape bacterial endophyte communities in maize stalks, finding that gene-by-environment interactions significantly influence microbial communities.

This study shows Oaxacan maize landraces develop aerial roots in both juvenile and adult phases, with minimal impact from soil nitrogen and humidity.

The paper examines diurnal associations between maize leaf transcriptome and bacteriome, finding stronger host-microbe correlations at night and circadian gene-microbe links.

This study identifies genetic factors influencing aerial root traits in maize that support biological nitrogen fixation, finding heritable traits and QTLs from landrace and elite inbred varieties.

The paper quantifies the host genetic influence on alkaloid production and fungal biomass in the Tall Fescue-Epichloe symbiosis, finding weak correlation and moderate host control.

kGWASflow provides a modular workflow for k-mers-based GWAS, improving reproducibility and accessibility through Snakemake and containerization.

The paper analyzes maize-associated bacteria and fungi across US locations, finding tissue-specific community structures, functional gene differences, and environmental correlations.

This study examines how inbred, open pollinated, and hybrid maize affect bacterial communities in different tissues, finding that genetic background has less impact than environmental factors.

The paper assesses the genetic and chemical consistency of CBD hemp accessions, finding significant variability and reliability issues in commercial varieties.

The paper identifies eleven biosynthetic genes explaining most of the natural variation in carotenoid levels in maize grain through QTL analysis and expression correlation.

The paper presents genome-wide marker datasets and population structure analyses for three minor millets, revealing subpopulations and validating SNP accuracy using phenotype data.

This study quantitatively analyzes the heritability of the maize leaf microbiome, finding few bacterial clades and diversity metrics are heritable, while many metabolic functions are, with Methylobacteria playing a key role.