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Impact of Marine Heatwaves on Coral Diversity

Boston University biologist Sarah W. Davies uses computers housed at the MGHPCC to explore coral resilience.

Dr. Sarah W. Davies leads the Davies Marine Population Genomics Lab at Boston University, where her team studies how marine organisms, particularly corals, respond to climate change. Their research focuses on the genetic and physiological mechanisms of resilience and adaptation in corals, examining how environmental stressors like warming oceans impact coral-algal symbioses, biodiversity, and ecosystem health.

A recent study co-authored by Davies, published in Science, investigates the effects of climate change-driven marine heatwaves on coral genetics and symbiotic relationships. Over six years, researchers tracked the survival and symbiotic associations of the coral Porites during a prolonged heatwave. They discovered that genetically distinct, but visually similar, coral lineages had varied survival rates, with some surviving as little as 15% and others up to 61%. The heatwave also disrupted the close relationships between corals and their algal symbionts, causing symbiotic shifts in some colonies. The study highlights how heatwaves threaten cryptic coral diversity and weaken the coevolved relationships between corals and their symbiotic algae. The analysis of genomic data used in this research was made possible through Boston University’s Shared Computing Cluster.

Sarah W. Davies
Associate Professor, Department of Biology, Boston University

Research projects

Foldit
Dusty With a Chance of Star Formation
Checking the Medicine Cabinet to Interrupt COVID-19 at the Molecular Level
Not Too Hot, Not Too Cold But Still, Is It Just Right?​
Smashing Discoveries​
Microbiome Pattern Hunting
Modeling the Air we Breathe
Exploring Phytoplankton Diversity
The Computer Will See You Now
Computing the Toll of Trapped Diamondback Terrapins
Edging Towards a Greener Future
Physics-driven Drug Discovery
Modeling Plasma-Surface Interactions
Sensing Subduction Zones
Neural Networks & Earthquakes
Small Stars, Smaller Planets, Big Computing
Data Visualization using Climate Reanalyzer
Getting to Grips with Glassy Materials
Modeling Molecular Engines
Forest Mapping: When the Budworms come to Dinner
Exploring Thermoelectric Behavior at the Nanoscale
The Trickiness of Talking to Computers
A Genomic Take on Geobiology
From Grass to Gas
Teaching Computers to Identify Odors
From Games to Brains
The Trouble with Turbulence
A New Twist
A Little Bit of This… A Little Bit of That..
Looking Like an Alien!
Locking Up Computing
Modeling Supernovae
Sound Solution
Lessons in a Virtual Test Tube​
Crack Computing
Automated Real-time Medical Imaging Analysis
Towards a Smarter Greener Grid
Heading Off Head Blight
Organic Light-Harvesting Antennae
Art and AI
Excited by Photons
Tapping into an Ocean of Data
Computing Global Change
Star Power
Engineering the Human Microbiome
Computing Social Capital
Computers Diagnosing Disease
A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Wearable Health Technology
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute – Unlocking Intelligence
The Institute for Experiential AI
The Forensic Video Exploitation and Analysis (FOVEA) Tool Suite
The Center for Scientific Computing and Data Science Research (CSCDR)
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
Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE)
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
Refugee Migration and Return on Social Media
QuEra at the MGHPCC
Predicting Reaction Barrier Heights
Quantum Computing in Renewable Energy Development
Quantifying Risk, Resilience, and Uncertainty with Machine Learning and HPC
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
Predicting Kinetic Solvent Effects
OpenCilk
Offshore Precipitation Capability (OPC) System
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
NASA Arctic-Boreal Vulnerability Experiment (ABoVE)
Monte Carlo eXtreme (MCX) – a Physically-Accurate Photon Simulator
Modeling Molecular Dynamics for Drug Delivery
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Machine Learning and Wastewater
Lichtman Lab – Center for Brain Science
Measuring Neutrino Mass
Learning-Task Informed Abstractions
Large-Scale Brain Mapping
Invisible Tags
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
FlyNet
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
ElectroVoxels: Modular Self-reconfigurable Robots
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Collaborative projects

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Outreach & Education Projects

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