Usha K. Muppirala

This study uses spatial and single-nuclei transcriptomics to identify two distinct cell states in soybean plants responding to Asian soybean rust infection, revealing non-autonomous defense mechanisms.

The paper introduces BoaG, a data science infrastructure for genomic research, demonstrating its ability to efficiently explore RefSeq data and reveal species-specific assembly quality variations.

The paper assembles and annotates the genome of the soybean cyst nematode, revealing duplications and horizontal gene transfer events in effector genes involved in parasitism.