Rubén Rellán‐Álvarez

UHPLC-MS/MS lipidomics of maize leaves (149 species, three genotypes, four growth stages, three leaf zones) shows genotype and leaf number explain most lipid variation.

SoLD, a leaf lipidomics resource (244 species) for the Sorghum Association Panel across two field trials, reveals low-input sulfoquinovosyldiacylglycerol depletion, triacylglycerol enrichment, and environment-specific GWAS loci.

This study investigates the role of maize inversion Inv4m in adaptation to phosphorus-deficient soils and finds that phosphorus deficiency does not drive its adaptive value.

This paper identifies the chromosomal inversion Inv4m in teosinte mexicana and shows it affects maize flowering time, plant height, and gene networks through JMJ histone demethylases.

The paper uses a MAGIC population to study genetic architecture of clinal traits in Mexican maize, finding one major QTL for tassel branching and multiple QTL for flowering time with complex environmental associations.

This study evaluates the use of environmental and genomic data to identify climate-adaptive maize varieties, finding that genomic data better predict yield traits than environmental data alone.

The paper characterizes genomic variation across 744 Zea genomes, identifies adaptive variants, and highlights their potential for breeding applications.

This study investigates the gene regulatory effects of a 13 Mb chromosomal inversion in highland maize using transcriptomic data to identify its adaptive significance.