Samantha J. Snodgrass

The paper quantifies anthropogenic effects on maize genetic diversity in the Americas using genotyping, human genomic data, and linguistic maps, finding weak genome-wide effects but localized language-associated loci.

The paper identifies genetic variants at transcription factor binding sites that explain a large portion of phenotypic heritability in maize under different water conditions.

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 compares genome fractionation patterns in maize and its wild relatives, finding distinct subgenome retention and gene loss trends between species.

A multi-genome analysis of maize reveals previously unknown variation in gene content, genome structure, and methylation.

This study evaluates the impact of sequence depth and read length on long-read assembly quality for the maize genome, finding that lower depths and shorter reads result in fragmented assemblies.