Amelia Helen Lovelace

This study identifies a bacterial outer membrane protein as a substrate of a citrus protease, showing that protease activity reduces pathogen titers and delays disease symptoms in citrus.

This study uses a GWAS and machine learning framework to identify genetic signals related to protein-synthesis pathways that influence cacao yield after correcting for population structure.

This paper develops a taxonomy-agnostic workflow using hyperspectral imaging and machine learning to predict fungal isolate crop-source labels with 86.7% accuracy.

This paper introduces a probabilistic UV-C control framework and a shape-only morphological fingerprint to predict postharvest pathogen survival and origin in cacao and coffee.

This study identifies SJP39 as a phytoplasma effector that stabilizes bHLH87 transcription factors, disrupting gibberellin signaling and causing plant stunting.

This study profiles the transcriptome of Candidatus Liberibacter asiaticus in different citrus tissues, revealing novel insights into its pathogenesis and virulence mechanisms.