Contributors | Affiliation | Role |
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Muller, Erinn M. | Mote Marine Laboratory (Mote) | Principal Investigator |
Koch, Hanna | Mote Marine Laboratory (Mote) | Co-Principal Investigator, Contact |
Bartels, Erich | Mote Marine Laboratory (Mote) | Scientist |
Azu, Yuen | Mote Marine Laboratory (Mote) | Student |
Gerlach, Dana Stuart | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This dataset is part of a larger study of Acropora cervicornis (staghorn) corals studied at Mote Marine Lab’s Elizabeth Moore International Center for Coral Reef Research and Restoration. The different analyses are listed here, and links to other data from this study can be found in the Related Datasets section below.
Analyses undertaken include:
See Related Datasets section below for links to above mentioned datasets.
Sampling of Acropora cervicornis coral genotypes took place at Mote Marine Lab's spawning nurseries at Sand Key (24.45782, -81.88595) and Looe Key (24.56257, -81.40009).
Sampling for Primary Fecundity Analysis
On July 3, 2020, from 5 colonies of every genet, 3 linear branches (~10 cm in length) were sampled using bone cutters from the central portion of each colony (N=180 branches). Using a ruler, the number of polyps per 1 cm^2 was recorded from every branch near the base of the fragment. The top ~2 cm (sterile zone) of every branch was removed before placing into a 50 mL falcon tube with 10% formalin to fix tissues. After 2 days, the formalin solutions were replaced with a 5% HCl solution, with every branch and tube triple rinsed with DI water in between to remove excess formalin. After 3 days, the 5% HCl solution in every tube was replaced with 10% HCl and subsequently refreshed every 2-3 days until branches were completely decalcified. Once decalcified, samples were triple rinsed in DI water and returned to their tubes with 70% EtOH for storage until dissection.
Dissections
Under a dissecting microscope, every fragment was dissected using a scalpel and forceps to haphazardly select 5 polyps per fragment (N = 900 polyps) to count the total number of oocytes within each polyp (Oocyte Number dataset, https://www.bco-dmo.org/dataset/867314). From those, 5 oocytes were randomly selected to measure their size (Oocyte Size Dataset: https://www.bco-dmo.org/dataset/843067)
Data processing:
Data were compiled into Excel (Microsoft Office) and analyzed using R version 4.0.3 (2020-10-10) -- "Bunny-Wunnies Freak Out". Nonparametric statistical and correlation analyses were conducted.
BCO-DMO Processing:
- separated Latitude and Longitude into separate columns
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
File |
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polyps.csv (Comma Separated Values (.csv), 9.03 KB) MD5:f12908cd2b4ac9bb04fa8c51bf951709 Primary data file for dataset ID 868308 |
File |
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Disease_Susceptibility_Table filename: Disease_Susceptibility_Table.pdf (Portable Document Format (.pdf), 64.24 KB) MD5:b155930985bd0c9e954a1f0eeacc78a1 Acropora cervicornis genotypes and susceptibility to white-band disease |
Parameter | Description | Units |
Location | Location of coral sampling site | unitless |
Latitude | Latitude of spawning nursery | decimal degrees |
Longitude | Longitude of spawning nursery | decimal degrees |
Date_measured | Date when measurements were taken (local time) | unitless |
Genotype | Mote Marine Lab genet that was sampled (1, 3, 7, 13, 31, 34, 41, 44, 47, 50, 62, 63) | unitless |
Phenotype | Phenotype that was sampled (S = white band disease susceptible, R = white band disease resistant) | unitless |
Replicate_Colony | Which of the five replicate colonies of the genet was sampled for analysis | unitless |
Replicate_Fragment | Which of the three replicate fragments per replicate colony was sampled for analysis | unitless |
Number_Polyps | Number of polyps measured within a one square centimeter area of a coral fragment | polyps per square centimeter |
Dataset-specific Instrument Name | Calcutta metal pliers |
Generic Instrument Name | bone cutter |
Dataset-specific Description | Each ramet was cut from the donor colony using metal pliers (Calcutta bone cutters). |
Generic Instrument Description | A bone cutter is a surgical instrument used to cut bones or coral fragments. |
Dataset-specific Instrument Name | ruler |
Generic Instrument Name | ruler |
Dataset-specific Description | the dimensions of length, width, and height (L x W x H) in centimeters were measured. |
Generic Instrument Description | A device used for measuring or for drawing straight lines, consisting of an elongated piece of rigid or semi-rigid material marked with units for measurement. Device that allows one or more physical dimensions of a sample or specimen to be determined by visible comparison against marked graduations in units of measurement of dimension length. |
NSF Award Abstract:
Caribbean staghorn coral was one of the most common corals within reefs of the Florida Keys several decades ago. Over the last 40 years disease, bleaching, overfishing and habitat degradation caused a 95% reduction of the population. Staghorn coral is now listed as threatened under the U.S. Endangered Species Act of 1973. Within the past few years, millions of dollars have been invested for the purpose of restoring the population of staghorn coral within Florida and the U.S. Virgin Islands. Significant effort has been placed on maintaining and propagating corals of known genotypes within coral nurseries for the purpose of outplanting. However, little is known about the individual genotypes that are currently being outplanted from nurseries onto coral reefs. Are the genotypes being used for outplanting resilient enough to survive the three major stressors affecting the population in the Florida Keys: disease, high water temperatures, and ocean acidification? The research within the present study will be the first step in answering this critically important question. The funded project will additionally develop a research-based afterschool program with K-12 students in the Florida Keys and U.S. Virgin Islands that emphasizes an inquiry-based curriculum, STEM research activities, and peer-to-peer mentoring. The information from the present study will help scientists predict the likelihood of species persistence within the lower Florida Keys under future climate-change and ocean-acidification scenarios. Results of this research will also help guide restoration efforts throughout Florida and the Caribbean, and lead to more informative, science-based restoration activities.
Acropora cervicornis dominated shallow-water reefs within the Florida Keys for at least the last half a million years, but the population has recently declined due to multiple stressors. Understanding the current population level of resilience to three major threats - disease outbreaks, high water temperatures, and ocean acidification conditions - is critical for the preservation of this threatened species. Results from the present study will answer the primary research question: will representative genotypes from the lower Florida Keys provide enough phenotypic variation for this threatened species to survive in the future? The present proposal will couple controlled laboratory challenge experiments with field data and modeling applications, and collaborate with local educators to fulfill five objectives: 1) identify A. cervicornis genotypes resistant to disease, 2) identify A. cervicornis genotypes resilient to high water temperature and ocean acidification conditions, 3) quantify how high water temperature and ocean acidification conditions impact disease dynamics on A. cervicornis; 4) determine tradeoffs in life-history traits because of resilience factors; and 5) apply a trait-based model, which will predict genotypic structure of a population under different environmental scenarios.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |