Marie‐Laure Martin‐Magniette

This study compares transcriptomic responses to nitrate in Arabidopsis, Brachypodium, and barley to identify conserved and species-specific mechanisms, providing a pipeline for cross-species transcriptomic analysis.

The paper identifies genomic and transcriptomic factors determining gene dispensability in maize by analyzing a pan-gene set and transcriptomic profiles across multiple tissues.

This paper introduces AGR, a pipeline to infer paleogenomes from modern species by using inter-species chromosomal synteny and hierarchical clustering.

The paper investigates how root phenolics mediate reduced disease susceptibility in wheat mixtures by disrupting root interactions and analyzing transcriptomic and metabolomic responses.

This study integrates multi-omics data to identify genes influencing yield in maize, showing improved resolution and predictive power compared to GWAS.

Plant-PLMview identifies cis-regulatory sequences in gene-proximal regions of 20 plant species using curated data and a web tool for motif analysis.

The paper identifies conserved preferentially located motifs (PLMs) in Arabidopsis and maize, revealing unassigned PLMs that provide distinct functional predictions.

The paper assesses whether gene connectivity in co-expression networks improves phenotype prediction, finding that core genes, though more differentiated, do not systematically predict traits better than peripheral genes.