2024 Seed Grant Recipients

Understanding the Early-Stage Invasion Dynamics of Box Tree Moths in Midwestern USA: Integrating Genomics and Landscape Approaches

Investigators:  Dr. Sangeet Lamichhaney (Department of Biological Sciences), Dr. Sarah Eichler (Department of Biological Sciences), and Dr. He Yin (Department of Geography)

Photo Credits: Michigan State University (header), United States Department of Agriculture (above)

The introduction of non-native species due to globalization poses significant threats to ecosystems worldwide. Insects, especially, have been prolific invaders, with the The Box Tree Moth (BTM) being one such example. Understanding the pathways and mechanisms of insect invasions is crucial for mitigating their impact on ecosystems. This project aims to understand the genetic and environmental factors contributing to the success of BTM invasions.

The project will conduct population genomics studies on BTM populations in the initial stages of invasion in New York, Michigan, and Ohio. This involves collecting BTM samples and conducting whole-genome sequencing to identify genetic markers associated with invasion success. Additionally, the project will assess landscape features in invasion areas to understand how environmental factors influence genetic diversity and invasion dynamics.

Research Aims:

• Aim 1: Characterize genetic diversity and population structure of BTM populations during the initial stages of invasion, and identify genetic markers associated with successful introduction.
  • Collect BTM larvae and adult samples, conduct whole-genome sequencing, and analyze genetic diversity and population structure.
• Aim 2: Assess landscape features across invasion sites and integrate them with population genomics data to explore their impact on genetic diversity and introduction into non-native habitats.
  • Assess landscape features using on the ground data collection, remote sensing tools and GIS analysis, and integrate these data with genomic data to understand their influence on invasion dynamics.

The project has collaborations with relevant agencies and expertise in genomic analysis and landscape assessment. Expected outcomes include insights into BTM genetic diversity, identification of genetic markers associated with invasion success, and understanding the role of landscape features in invasion dynamics. Overall, the project aims to provide a comprehensive understanding of the genetic and environmental factors driving BTM invasions, with implications for invasive species management and ecosystem conservation.