
From Vector Biology to Predictive Control
Mechanistic and data-driven approaches to managing vectors & phytopathogens
The Gadhave Lab investigates insectโvirusโplant systems as dynamic biological networks, uncovering the mechanistic cross talk that governs transmission and disease dynamics.
We integrate insect vector biology, plant virology, and molecular approaches to shift pest and disease management from reactive suppression to anticipatory, systems-level intervention.
Our goal is to generate mechanistic insight that enables prediction, early detection, and durable control of vectors and phytopathogens across scalesโfrom molecules to agroecosystems.
Our research is organized around four tightly integrated pillars.
Core Research Pillars

Molecular Pathosystems
Mechanisms governing virusโvectorโplant interactions

Surveillance & Phenotyping
Scalable measurement of pest and pathogen dynamics

RNAi-Based Pest Management
Targeted, insecticide-reducing control strategies

Ecological Intervention & IPM
System-level strategies for sustainable vector control

Why This Work Matters?
The dual threat remains a major constraint on agricultural productivity and resilience, a challenge intensified by climate variability and changing agroecosystems. Current management approaches are often reactive and chemically intensive.
Our research addresses key gaps by:
Supporting sustainable, ecologically informed control
Linking mechanisms to outcomes
Enabling prediction instead of response
Lab News
Gadhave Lab Leads Themed Issue inย Current Opinion in Virology
Dr. Gadhave is co-leading a themed issue of Current Opinion in Virology, โPlant Viruses at the Crossroads: Vector Biology, Host Resistance, and Transmission Dynamics,โ together with Dr. Kathleen Martin. The issue brings together a global team of experts to examine emerging directions in plant virology, vector biology, host resistance, and virus transmission.
Special thanks to Dr. Arinder Arora for helping identify and finalize an outstanding group of international researchers contributing to the issue.
