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 |
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. We present dissection information on the sizes of oocytes measured from five randomly chosen oocytes for each of five replicate polpys from three fragments of five colonies containing 12 different genets of Acropora cervicornis held in Mote Marine Laboratory's Sand Key spawing nursery.
The project's additional 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). Primary fecundity analysis involved sampling corals with known disease susceptibility and/or resistance, measuring their size, and counting and analyzing their oocytes.
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 one square centimeter was recorded from every branch near the base of the fragment (Polyps per Area dataset, https://www.bco-dmo.org/dataset/868308). 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 (this dataset):
Under a dissecting microscope, every fragment was dissected using 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 under a compound microscope using an ocular micrometer to record the maximum diameter (length, d1) and its perpendicular diameter (width, d2). The volume of oocytes was calculated using the formula for a prolate ellipsoid: V= (4/3)*pi*(d1/2)*(d2/2)^2
Calibration factor: Oocytes were measured using a 10x ocular micrometer and 4x objective (total 40X) and a calibration factor was applied using the formula: V= (4/3)*pi*((d1/2)*250)*((d2/2)*250)^2 and converted to the units, mm3, for final values.
Problem report:
Genet 31: In the time between when the parental colonies were morphometrically assessed/sampled in the Sand Key nursery for the primary fecundity analysis and brought into the lab for spawning/sampled for the secondary fecundity analysis, the entire tree for genet 31 snapped off from its anchor and went missing. As such, 5 colonies of genet 31 were brought in from a different spawning nursery and location (Looe Key Nursery: 24.56257, -81.40009). Thus, the fecundity data obtained from the fragments and gamete bundles come from different subpopulations (fragments from Sand Key and gamete bundles from Looe Key).
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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oocyte_size.csv (Comma Separated Values (.csv), 400.78 KB) MD5:1e7aca6e4e1673da81866cf18bc780db Primary data file for dataset ID 843067 |
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 |
Replicate_Polyp | Which of the five polyps was randomly chosen to be dissected and counted for number of oocytes | unitless |
Replicate_Oocyte | Which of the 5 oocytes per polyp that was randomly chosen for size measurement | unitless |
Oocyte_Length_d1 | Length of the oocyte’s longest axis | micrometers |
Oocyte_Width_d2 | Width perpendicular to the oocyte's longest axis | micrometers |
Oocyte_Volume_micron | Oocyte volume calculated using a prolate ellipsoid (V= (4/3)*pi*(d1/2)*(d2/2)^2) | cubic micrometers |
Oocyte_Vol_corrected | Oocyte volume with applied calibration factor using 10x ocular micrometer and 4x objective | cubic micrometers |
Oocyte_Volume_mm3 | Oocyte size converted to more commonly used unit of volume | cubic millimeters |
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 | AmScope compound microscope with ocular micrometer |
Generic Instrument Name | Microscope - Optical |
Dataset-specific Description | Oocyte size was measured under a compound microscope using an ocular micrometer to record the maximum diameter (length, d1) and its perpendicular diameter (width, d2). |
Generic Instrument Description | Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope". |
Dataset-specific Instrument Name | articulating dissecting microscope |
Generic Instrument Name | Microscope - Optical |
Dataset-specific Description | Under a dissecting microscope, every fragment was dissected using a scalpel and forceps and to count the total number of oocytes within each polyp. |
Generic Instrument Description | Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope". |
Dataset-specific Instrument Name | scalpel |
Generic Instrument Name | scalpel |
Dataset-specific Description | Every coral fragment was dissected using a scalpel and forceps
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Generic Instrument Description | A scalpel, or lancet, or bistoury, is a small and extremely sharp bladed instrument used for dissection and surgery. |
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) |