Award Abstract # 1829992
Collaborative Research: Comparative ecology of a keystone pathogen in dynamics of a vegetated coastal ecosystem

NSF Org: OCE
Division Of Ocean Sciences
Recipient: UNIVERSITY OF CALIFORNIA, DAVIS
Initial Amendment Date: July 26, 2018
Latest Amendment Date: May 27, 2021
Award Number: 1829992
Award Instrument: Standard Grant
Program Manager: Daniel J. Thornhill
OCE
 Division Of Ocean Sciences
GEO
 Directorate for Geosciences
Start Date: September 1, 2018
End Date: August 31, 2023 (Estimated)
Total Intended Award Amount: $231,246.00
Total Awarded Amount to Date: $346,343.00
Funds Obligated to Date: FY 2018 = $231,246.00
FY 2021 = $115,097.00
History of Investigator:
  • John Stachowicz (Principal Investigator)
    jjstachowicz@ucdavis.edu
Recipient Sponsored Research Office: University of California-Davis
1850 RESEARCH PARK DR STE 300
DAVIS
CA  US  95618-6153
(530)754-7700
Sponsor Congressional District: 04
Primary Place of Performance: University of California-Davis
One Shields Avenue
Davis
CA  US  95616-5270
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): TX2DAGQPENZ5
Parent UEI:
NSF Program(s): BIOLOGICAL OCEANOGRAPHY
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 006Z, 102Z, 7308, 9117
Program Element Code(s): 165000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

Pathogens may be unrecognized key species in many ecosystems, causing massive impacts on other species and habitats despite the microscopic size of disease-causing organisms. Yet the triggers to disease epidemics likely involve complex interactions among changing environmental conditions and associated biological communities. In the ocean, understanding disease outbreaks has been hindered by inadequate knowledge of how these various influences interact to determine susceptibility and resilience to disease. This project integrates research in community and disease ecology with microbial genomics, geospatial analysis, and state-of-the-art computational approaches toward an unprecedented understanding of the causes and consequences of wasting disease in eelgrass, an important vegetation type supporting coastal and estuarine ecosystems throughout the northern hemisphere. The research advances frontiers in understanding the growing but poorly appreciated threat of marine diseases, how disease ecology interacts with environmental change, and its consequences for the extensive ecosystems and coastal communities that depend on eelgrass, across 23 degrees of latitude along the Pacific coast of North America. The research will inform better management of threatened seagrass ecosystems, which provide important services including fisheries habitat, erosion control, carbon storage, and capture of nutrient runoff. The research will foster integrative approaches in the next generation, including high school students, undergraduates, graduate students, and postdocs working on the project, and each investigator's institution will work to recruit participants from under-represented groups. Best practices developed under this award, including the Eelisa disease app and drone mapping, will be disseminated for broader surveillance of seagrass disease and coastal habitat quality by both professional and citizen scientists in coordination with the Global Ocean Observing System's (GOOS) develpoment of seagrass extent as an Essential Ocean Variable.

The triggers to marine disease epidemics are likely complex, and progress in understanding them has been hindered by a poor understanding of the multifaceted ecological context of the host-disease interaction. This project's overarching goal is to disentangle the web of direct and indirect interactions by which changing climate mediates prevalence of eelgrass wasting disease, and its consequences for threatened but important eelgrass ecosystems. The centerpiece is a comparative, cross-scale survey of eelgrass community composition, microbiome, and disease prevalence along thermal gradients of latitude and exposure to the ocean, providing the first coast-wide picture of disease dynamics in response to environmental change. In situ sampling will be linked to dynamics of eelgrass at landscape scales using unmanned aerial systems (drones) to quantify high-resolution changes in eelgrass extent and habitat quality. Experiments will test how the diverse biological community mediates impacts of the pathogen on eelgrass ecosystems.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Aoki, Lillian R. and Rappazzo, Brendan and Beatty, Deanna S. and Domke, Lia K. and Eckert, Ginny L. and Eisenlord, Morgan E. and Graham, Olivia J. and Harper, Leah and Hawthorne, Timothy L. and HessingLewis, Margot and Hovel, Kevin A. and Monteith, Zacha "Disease surveillance by artificial intelligence links eelgrass wasting disease to ocean warming across latitudes" Limnology and Oceanography , v.67 , 2022 https://doi.org/10.1002/lno.12152 Citation Details
Beatty, Deanna S. and Aoki, Lillian R. and Graham, Olivia J. and Yang, Bo "The Future Is Bigand Small: Remote Sensing Enables Cross-Scale Comparisons of Microbiome Dynamics and Ecological Consequences" mSystems , v.6 , 2021 https://doi.org/10.1128/mSystems.01106-21 Citation Details
Beatty, Deanna S. and Aoki, Lillian R. and Rappazzo, Brendan and Bergman, Chelsea and Domke, Lia K. and Duffy, J. Emmett and Dubois, Katie and Eckert, Ginny L. and Gomes, Carla and Graham, Olivia J. and Harper, Leah and Harvell, C. Drew and Hawthorne, Tim "Predictable Changes in Eelgrass Microbiomes with Increasing Wasting Disease Prevalence across 23° Latitude in the Northeastern Pacific" mSystems , v.7 , 2022 https://doi.org/10.1128/msystems.00224-22 Citation Details
Beatty, Deanna S. and Deen, Emma and Gross, Collin and Stachowicz, John J. "Northeast Pacific eelgrass fish communities characterized by environmental DNA represent local diversity and show habitat specificity" Environmental DNA , v.5 , 2023 https://doi.org/10.1002/edn3.431 Citation Details
Gross, Collin P. and Duffy, J. Emmett and Hovel, Kevin A. and Kardish, Melissa R. and Reynolds, Pamela L. and Boström, Christoffer and Boyer, Katharyn E. and Cusson, Mathieu and Eklöf, Johan and Engelen, Aschwin H. and Eriksson, Britas Klemens and Fodrie, "The biogeography of community assembly: latitude and predation drive variation in community trait distribution in a guild of epifaunal crustaceans" Proceedings of the Royal Society B: Biological Sciences , v.289 , 2022 https://doi.org/10.1098/rspb.2021.1762 Citation Details
Kardish, Melissa R. and Stachowicz, John. J. "Local environment drives rapid shifts in composition and phylogenetic clustering of seagrass microbiomes" Scientific Reports , v.13 , 2023 https://doi.org/10.1038/s41598-023-30194-x Citation Details
Yang, Bo and Hawthorne, Timothy L. and Aoki, Lillian and Beatty, Deanna S. and Copeland, Tyler and Domke, Lia K. and Eckert, Ginny L. and Gomes, Carla P. and Graham, Olivia J. and Harvell, C. Drew and Hovel, Kevin A. and HessingLewis, Margot and Harper, "LowAltitude UAV Imaging Accurately Quantifies Eelgrass Wasting Disease From Alaska to California" Geophysical Research Letters , v.50 , 2023 https://doi.org/10.1029/2022GL101985 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Seagrass ecosystems provide important services to people in coastal regions worldwide, fostering vigorous production, habitat for fisheries, processing of nutrient runoff, carbon storage, and erosion control. The world?s most widespread seagrass species, eelgrass (Zostera marina) forms extensive meadow on both sides of the north Atlantic and north Pacific oceans. But like many marine habitat-forming species, eelgrass is vulnerable to disease epidemics, which can have catastrophic ecosystem impacts but are poorly understood. This collaborative research project engaged partners from 11 institutions and a broad range of expertise to evaluate how environment and interacting biological communities mediate the prevalence and severity of eelgrass wasting disease, caused by the pathogenic protist Labyrinthula zosterae, along the west coast of North America from San Diego to Alaska. The multidisciplinary team employed remote sensing, field surveys, and experiments to tease apart the effects of recent heat waves, interactions with grazing animals, and microbes on eelgrass wasting disease infections across this continental-scale range. All of the teams included early-career scientists, who benefited from new field research experiences and rich opportunities for shared learning, immersion in team science, and building professional and peer networks. 

 

This project was unprecedented in marine ecology in its combination of geographic scale, standardized sampling, and integration of components ranging from molecular to seascape scales, all focused on the holistic ecology of disease affecting a foundation species of major importance in coastal ecosystems. The team’s research documented for the first time the important, interacting effects of climate and biodiversity in mediating wasting disease dynamics. Field studies showed that warming water temperatures stressed eelgrass across large regional scales from San Diego to Alaska, facilitating seagrass wasting disease, which in some areas contributed to large-scale diebacks of eelgrass meadows.

 

Moreover, we identified two species interactions that modify the effect of temperature on wasting disease.  First,  several bacterial taxa whose presence and abundance on uninfected tissue are predictive of wasting disease prevalence across the geographic range including Cellvibrionaceae, degraders of plant cellulose, which were also enriched in lesions and adjacent green tissue relative to nonlesioned leaves. These bacteria may play important roles in disease progression by degrading host tissues or overwhelming plant immune responses. Interactions between temperature stress and plant microbiome likely play a key role in understanding the plant stress response. Additionally, the numerous small crustaceans and snails that live among eelgrass leaves appear to modify eelgrass host-disease interactions through their grazing activities, with some grazer species increasing and some species decreasing disease prevalence. Because temperature can accelerate grazing rates, this provides an additional novel pathway by which temperature can indirectly influence disease impact.

 

The research combined two new innovations to revolutionize the scale and speed of surveillance for eelgrass wasting disease, namely (1) Unoccupied Aerial Vehicles (UAVs, or drones), used by the university of Central Florida team for high-resolution mapping (< 0.05 m) that enables unprecedented and inexpensive fine-scale image analysis of individual seagrass leaves over large areas, and (2), an artificial intelligence system, the Eelgrass Lesion Image Segmentation Application (EeLISA), developed by the Cornell team, that quantifies eelgrass wasting disease 5000 times faster and with comparable accuracy to a human expert. Of several important articles published or in press from this work, a paper led by Postdoc Bo Yang (Geophysical Research Letters) describes the ground-breaking result of combining these twin innovations: eelgrass Green Leaf Area Index detected with drone imagery is a strong predictor of wasting disease prevalence measured on eelgrass plants sampled in the water, across three regions: Alaska, British Columbia, and California. Together, these innovations offer substantial promise for application in rapid assessment of eelgrass disease for management.

 


Last Modified: 12/28/2023
Modified by: John J Stachowicz

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page