Dataset: Wasting disease prevalence and severity and seagrass length and density based on subpopulations of Zostera marina on the North Shore of Massachusetts surveyed in July and September 2016

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.851122.1Version 1 (2021-05-04)Dataset Type:Other Field Results

Principal Investigator, Contact: A. Randall Hughes (Northeastern University)

Co-Principal Investigator: Forest Schenck (Northeastern University)

BCO-DMO Data Manager: Taylor Heyl (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)


Project: CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems (Seagrass and Oyster Ecosystems)


Abstract

This dataset includes wasting disease infection prevalence and severity in four Zostera marina subpopulations located along a 30 kilometer stretch of coastline on the North shore of Massachusetts. Surveys of subpopulations were conducted in July and September 2016.

Wasting disease and Zostera morphology: We assessed wasting disease infection prevalence and severity in four Zostera subpopulations located at least 4 kilometers (km) apart along a 30 kilometer (km) stretch of coastline on the north shore of Massachusetts: Niles Beach, Gloucester (NB, 42° 35.8268’ N, 70° 39.3553’ W); West Beach, Beverly (WB, 42° 33.9155’ N, 70° 47.1102’ W); Lynch Park, Beverly (LP, 42° 32.6925’ N, 70° 51.5057’ W); and Curlew Beach, Nahant (CB, 42° 25.2378’ N, 70° 54.9474’ W). These subpopulations share similar depth profiles (ranging from 1-2 meter MLLW) and occur seaward of sandy beaches. We surveyed the CB subpopulation in July 2016 and the NB, WB, and LP subpopulations in September 2016. These dates fall within the time of year of peak disease prevalence reported for temperate Zostera meadows (Burdick et al., 1993; Bockelmann et al., 2013). Within 12 quadrats (0.0625 m2) at each subpopulation, we counted Zostera shoot density and haphazardly collected ten Zostera shoots. Quadrats were spaced 2 meters apart along a 25 meter transect running parallel to shore.

We stored shoots in coolers of seawater and scored the third youngest leaf of each shoot for the presence and percent cover of lesions characteristic of wasting disease within 6 hours of collection. We focused on this leaf because it has been shown to harbor the highest intensity of wasting disease (Bockelmann et al., 2013). We used published descriptions and photographs of lesions associated with wasting disease to guide our scoring (Burdick et al., 1993; Groner et al., 2014; Groner, Burge, et al., 2016). In addition, we measured the length of each shoot from the base of the stem (1st node) to the tip of the longest leaf.


Related Datasets

IsRelatedTo

Dataset: Seagrass Responses from Mesocosm Experiment
Hughes, A. R., Schenck, F. (2022) Seagrass responses to Labyrinthula zosterae inoculation base on a subpopulation from mesocosm experiments conducted in Nahant, Massachusetts. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-05-04 doi:10.26008/1912/bco-dmo.851047.1
IsRelatedTo

Dataset: Seawater Temperature and Salinity
Hughes, A. R., Schenck, F. (2022) Seawater temperature and salinity of mesocosms and a field location collected while conducting experiments on seagrass in Nahant, Massachusetts. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-05-04 doi:10.26008/1912/bco-dmo.851059.1

Related Publications

Results

Bockelmann, A.-C., Tams, V., Ploog, J., Schubert, P. R., Reusch, T. B. H. (2013). Quantitative PCR reveals strong spatial and temporal variation of the wasting disease pathogen, Labyrinthula zosterae in northern European eelgrass (Zostera marina) beds. PLoS ONE, 8(5), e62169.
Methods

Burdick, D. M., Short, F. T., & Wolf, J. (1993). An index to assess and monitor the progression of wasting disease in eelgrass Zostera marina. Marine Ecology-Progress Series, 94, 83-83.
Methods

Burge, C. A., Friedman, C. S., Getchell, R., House, M., Lafferty, K. D., Mydlarz, L. D., Prager, K. C., Sutherland, K. P., Renault, T., Kiryu, I., Vega-Thurber, R. (2016). Complementary approaches to diagnosing marine diseases: a union of the modern and the classic. Philosophical Transactions of the Royal Society B: Biological Sciences, 371, 20150207.
Methods

Groner, M. L. Maynard, J.,Breyta, R., Carnegie, R. B., Dobson, A., Friedman, C. S., Froelich, B., Garren, M., Gulland, F. M. D., Heron, S. F., Noble, R. T., Revie, C. W., Shields, J. D., Vanderstichel, R., Weil, E., Wyllie-Echeverria, S., Harvell, C. D. (2016). Managing marine disease emergencies in an era of rapid change. Philosophical transaction of the Royal Society B: Biological Sciences, 371, 1689.
Methods

Groner, M. L., Burge, C. A., Couch, C. S., Kim, C. J. S., Siegmund, G.-F., Singhal, S., Smoot, S. C., Jarrell, A., Gaydos, J. K., Harvell, C. D., Wyllie-Echeverria, S. (2014). Host demography influences the prevalence and severity of eelgrass wasting disease. Disease of Aquatic Organisms, 108, 165-175.