Rod John Snowdon

UMR-seq reveals epigenetic variation in plant hypomethylomes, showing UMRs are enriched in regulatory loci and improve genomic prediction and trait association mapping in wheat.

This study uses hyperspectral imaging and machine learning to distinguish F1 hybrid seeds from parental inbreds in faba bean, achieving 98.9% accuracy in separating parental components.

This study develops a high-throughput pipeline to phenotype stomatal traits in wheat, identifying genetic and environmental factors influencing their plasticity and utility for breeding stress-resilient crops.

This study identifies GNI2 homoeo-alleles in wheat that improve grain yield by 5-15% across high- and low-input environments.

The paper uses machine learning and multi-omic data to analyze recombination patterns in the A and C subgenomes of Brassica napus, finding distinct landscape features between them.

The paper identifies and characterizes super-enhancers in Brassica napus, revealing their asymmetrical distribution and functional impact on gene expression and regulatory processes.

The paper identifies VC2 as a gene responsible for residual vicine content in low v-c faba bean cultivars, showing its role in the biosynthetic pathway and potential for marker-assisted breeding.

This paper introduces an electric charge-mediated method for efficient plant genome editing in faba bean, achieving 50% mutation success rate in the PDS gene without DNA vectors.

This study uses pangenome graphs to analyze structural variants in Brassica napus, showing they impact gene expression and eQTL analysis better than single references.

This study identifies pangenomic structural variant patterns in Brassica napus, revealing evolutionary diversification across morphotypes and ecotypes through whole-genome long-read sequencing.

This study benchmarks SV detection tools using Oxford Nanopore reads in crop plants, evaluating performance across different coverages and species.

The paper shows that spontaneous structural rearrangements in F1 offspring of Brassica napus hybrids lead to rapid genome diversification and phenotypic variation.

The paper uses long-read sequencing to identify widespread small to mid-scale structural variants in Brassica napus, showing their impact on gene function and agronomic traits.