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Staving off the Banana Apocalypse

Members of the Ma Lab at UMass Amherst used MGHPCC computing resources to uncover a key genetic mechanism behind Fusarium wilt in bananas.

Professor Li-Jun Ma studies mechanisms that guide eukaryotic genome evolution and genetic determinants of fungal pathogenicity using the model system Fusarium oxysporum.

Together with members of her group, Ma has uncovered a key genetic mechanism behind Fusarium wilt of banana (FWB), a fungal disease threatening the global Cavendish banana supply. Their research, published in Nature Microbiology, reveals that the virulence of the tropical race 4 (TR4) strain is linked to accessory genes involved in nitric oxide production—genes absent in earlier strains that wiped out the Gros Michel banana in the 1950s.

This discovery opens new paths for disease mitigation and crop resilience. The study relied heavily on high-performance computing resources at the MGHPCC to analyze complex fungal genomes, trace evolutionary pathways, and model gene function. These computational tools enabled the team to process vast genomic datasets and simulate molecular interactions critical to understanding TR4’s spread.

 

Li-Jun Ma
Professor at the University of Massachusetts, Amherst specializing in fungal genomics, fungal-host interactions, and the development of novel antifungals

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute - Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer - Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer's Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Asteroid Data Mining
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Computation + Machine Intelligence | Wu Tsai Institute
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
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