Joshua C. Wood

This study creates a spatial transcriptome atlas of poplar shoot-associated organs, revealing tissue organization and gene expression patterns across different developmental stages and anatomical contexts.

The paper characterizes time-dependent transcriptomic changes in plant protoplasts across species and identifies stress-like cell states in single-cell RNA-seq data.

The paper presents a single-cell RNA-seq atlas of poplar shoots, identifies epidermal subclusters, and discovers new trichome-specific genes through integration with bulk transcriptome data.

This study engineers tomato fruit to produce high-value terpenes by modifying genes involved in specialized metabolism.

This paper presents a chromosome-scale genome assembly for Oxalis stricta, revealing its allotetraploid nature and synteny with related species.

This study creates a gene atlas for tetraploid potato, identifying genes involved in tuberization and stress resilience through coexpression modules and structural variation analysis.

This study analyzes diel transcriptomes of autotetraploid potato to reveal conservation of cyclic gene expression and function across tissues and conditions.

The paper uses single-cell multi-omics to identify rare cell types involved in camptothecin biosynthesis in Camptotheca acuminata.

The paper identifies an enzyme, ICYC, that catalyzes the cyclization of an enol intermediate in the iridoid biosynthesis pathway in asterids, completing the pathway and enabling metabolic engineering of iridoid compounds.

The paper constructs a cell-type-aware gene regulatory network for MIA biosynthesis in C. roseus using single-cell multi-omics data, identifying a novel idioblast-specific TF that regulates late-stage biosynthetic genes.

The paper presents a chromosome-scale genome assembly of Chia pinta and identifies population structure and interspecies introgression in Salvia species.

The paper develops a method for single cell mass spectrometry to quantify natural products in plant cells, revealing biosynthetic dynamics not captured by scRNA-seq.

The paper identifies genes associated with abiotic stress tolerance in sweetpotato using weighted gene co-expression network analysis and finds shared and unique transcriptional responses to heat, salt, and drought stresses.

This study evaluates prediction models for tocochromanol content in maize grain using genomic and transcriptomic data, finding that incorporating biological knowledge improves predictive ability.

The paper combines GWAS and TWAS to identify 13 candidate causal genes for tocochromanol levels in maize grain, including five previously unassociated genes.

This study uses transcriptome-wide association and prediction to identify genes related to carotenoid and tocochromanol levels in sweet corn and shows transcriptomic data improve predictive models.

This paper develops a random-effect model for QTL mapping in autopolyploid sweetpotato, identifying 41 QTL across eight yield traits in a full-sib population.