Victor Hugo Moura de Souza

This study investigates how hatching time affects the parasitism of beet cyst nematodes, finding that late hatchers are more infective due to differences in energy use and gene expression.

This study uses 3D printing and deep learning to analyze parasite dynamics across hundreds of plant genotypes, identifying host genetic control of parasite traits and new QTLs.

This paper investigates how Meloidogyne incognita infects diverse plant species by analyzing transcriptomic responses across nine plant interactions, finding distinct transcriptional programs and effector deployment patterns that influence host specificity.

This study identifies DGR-1 as a transcription factor that switches from lytic to biotrophic effector production in plant-parasitic nematodes, working antagonistically with SUGR-1 to regulate effector expression during infection.

This study identifies and characterizes the effectorome of the plant-parasitic nematode Heterodera schachtii, revealing 659 effector gene loci and providing insights into their origin, deployment, and evolution.