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Sailing the Symbiosis Seascape

Researchers in the Beinart Lab at URI use genomic approaches to understand host-associated microbiomes in the ocean.

Most marine organisms host microbes that are essential to their health, ecology, and evolution. For species living in extreme environments—such as oxygen-depleted “dead zones” or deep-sea hydrothermal vents—these microbial partnerships can be vital for survival. Research in the Beinart Lab at the University of Rhode Island uses advanced genomic techniques to reveal how microbes interact with marine animals and with each other through symbiosis, particularly in these challenging oceanic habitats. This work enhances our understanding of the role and significance of microbes in sustaining marine ecosystems.

A recent study from the lab investigates the evolutionary impact of the 2022 Hunga volcanic eruption on hydrothermal vent communities in the Southwest Pacific. Researchers analyzed mollusk-microbial symbioses from the Lau Basin using metagenomic sequencing to compare pre- and post-eruption genetic data. They found that while animal host populations showed minimal changes in genome-wide diversity, they experienced a long-term decline in effective population size, likely exacerbated by the eruption. In contrast, microbial symbionts exhibited a significant loss in genomic variation, including the disappearance of habitat-specific strains. However, environmental DNA evidence suggests that some strain diversity may be recoverable from free-living microbial pools.

Their work relied heavily on high-performance computing (HPC) resources provided by MGHPCC to process and analyze large-scale genomic datasets. Computational workflows included genome assembly, variant calling, and population genetics modeling, enabling the team to detect subtle evolutionary signals across complex symbiotic systems. The study highlights the critical role of research computing in understanding ecological resilience and evolutionary dynamics in extreme environments.

Roxanne Beinart
Associate Professor of Oceanography University of Rhode Island Graduate School of Oceanography

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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