Contributors | Affiliation | Role |
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Smee, Delbert Lee | Dauphin Island Sea Lab (DISL) | Principal Investigator |
Weissburg, Marc | Georgia Institute of Technology (GA Tech) | Principal Investigator, Contact |
Belgrad, Benjamin A. | Dauphin Island Sea Lab (DISL) | Scientist |
Heyl, Taylor | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Oyster culturing
Oysters (Crassostrea virginica) were cultured as spat-on-shell at the Auburn University Shellfish Laboratory (AUSL) on Dauphin Island, AL starting in late May 2019 using standard techniques (Congrove et al. 2009). Oyster larvae were settled onto sun-bleached oyster shells to create spat-on-shell. After 3 days, when oyster spat were approximately 1.0 millimeters, they were exposed to either exudate from predatory blue crabs or empty cage controls in four flow-through holding tanks (length = 2.4 meters, width = 0.9 meters, water depth = 0.4 meters) supplied with unfiltered seawater pumped directly from the Gulf of Mexico. The number of spat per shell varied from approximately 5 – 40 and we elected to not alter the initial density to mimic natural settlement during the induction period. Oysters were suspended above the tank bottom in oyster aquaculture baskets (64 x 23 x 14 centimeters with 140 spat-covered per shell basket) to prevent sediment buildup from suffocating oysters. Seven oyster baskets were present in each tank (28 total).
Spat were exposed to blue crab predator cues by holding four live caged adult blue crabs (Callinectes sapidus) in two of the tanks (8 crabs total), whereas the remaining two tanks contained empty cages (control) to mimic conditions where oysters regularly experience predator cues or are limited in their exposure from cues. Water volumes and crab densities were informed from established procedures (Belgrad et al. 2021). Crabs in each tank were held in four separate cages (32 x 23 x 14 centimeters) to prevent crabs from consuming the experimental oysters or each other. Every crab was fed one adult oyster daily (approximately 5.0 centimeters in length) to maximize predator cue intensity as experimental oysters would be exposed to exudates from predators and damaged conspecifics. This ensured that oysters were exposed to the most natural set of cues indicative of a predation event, which produces a strong response in oysters (Scherer et al. 2016). Crabs were replaced during the experiment as needed due to mortality. Experimental oyster baskets were rotated around the crab cages daily to reduce differences in oyster growth due to proximity to predator cues, and no differences among cages were found. The induction period was 2 months.
Oyster survival experiment
After the 2-month spat grow-out period, we conducted a mesocosm experiment to determine how induced predator defenses (i.e., changes in shell strength) altered oyster survival under different ecological contexts of habitat shelter (within reef shelter vs outside reef) and predator regime (apex predator present vs absent). Spat-covered shells from the above oyster culturing were scraped so that each shell contained either four induced oysters grown with predator cues or four control oysters grown without predator cues to standardize individual predation risk. Eight shells from each of these two treatments were placed into six circular flow-through seawater tanks (diameter = 1.15 meters, water height = 40 centimeters; 16 shells per tank; 64 spat per tank).
An artificial reef was located in the center of each tank, and four shells containing spat of each type were placed in each of the “reefs” that provided a refuge for oyster consumers (mud crabs, Panopeus herbstii) and an additional four shells containing oysters of each type were placed roughly 15 centimeters (cm) from the tank wall. Artificial reef shelters were composed of a plastic basket (30 cm length x 20 cm width x 11 cm height) turned upside down and covered in sun-bleached oyster shells that were epoxied to envelop the outer edges of the basket. This roughly mimics the effect of a robust healthy reef with a 3-dimensional structure where mud crabs can occupy interstitial spaces difficult for blue crabs to access. Each tank also contained seven mature mud crabs (mean ± SD carapace width = 2.52 ± 0.43 cm) to serve as intermediate consumers with these densities being consistent with field measurements (Hill and Weissburg 2013). Every mud crab cohort contained at least two individuals of each sex to match natural fine-scale sex ratios.
Apex predators (blue crabs) were added to half of the tanks whereas the remaining three tanks lacked blue crabs. Tanks with the predator treatment contained a single adult blue crab (mean ± SD carapace width = 14.8 ± 1.4 centimeters), which at this size commonly feeds on mud crabs but rarely feeds upon oyster spat (Hines 2007, personal observations of all authors). As this experiment was focused on identifying how predator cues cause cascading effects through food webs, all blue crabs had their claws taped closed throughout the duration of the experiment so that blue crabs could provide chemical, visual, and mechanical predation risk cues without actually consuming the mud crabs. Blue crabs were fed a diet consisting of a single mud crab every day for a week prior to the start of the experiment to help ensure that blue crabs would produce urine containing metabolites mud crabs perceive as risk cues. Diet was standardized since cue perceptibility is affected by the amount of prey biomass consumed by a predator. Every blue crab was replaced with a new, recently fed blue crab each day to ensure that the apex predator would continue to release chemical cues. Preliminary experiments found that blue crabs did not consume spat under these conditions.
The experiment began by allowing the blue crabs and oysters to acclimate in the tank for 30 minutes. Mud crabs were released in the tank center near the artificial reef after the acclimation period whereupon they immediately began traveling in all directions. Oyster survival was recorded every 24 hours for three days. This experiment commenced on July 30th, 2019, and was repeated two additional times within that same week (9 replicate tanks distributed across 3 blocks). No individuals were used more than once (n = 1,152 spat, n = 126 mud crabs, n = 27 blue crabs total).
See the Supplemental file for crab survival data, which is a subset of the mesocosm data.
- Converted dates to format (YYYY-MM-DD)
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oyster_survival_mesocosm.csv (Comma Separated Values (.csv), 14.21 KB) MD5:a5e2af752e53da09481e2ca43a80acff Primary data file for dataset 892425, version 1. |
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oyster_survival_in_mesocosm-2.csv (Comma Separated Values (.csv), 4.02 KB) MD5:b3350511f71ae91cb32d6b2bd7b2dced Supplemental file for dataset 892425. This crab survival data is a subset of the mesocosm data.Description of columns in this dataset are as follows:mud_date = date mud crab was placed in tank; mud_crab_ID = identification number for mud crab placed in tank (7 mud crabs per tank); size_mm = size of mud crab placed in tank (mm); gendermud = mud crab was either male (m) or female (f); blue_date = date blue crab was placed in tank; blue_crab_ID = identification number of blue crab placed in tank (1 blue crab in tank which was replaced daily); size_cm = size of blue crab in tank (cm); genderblue = gender of blue crab male (m) or female (f). |
Parameter | Description | Units |
start_date | first day of experimental trials | unitless |
trial | experimental block with 6 tanks run simultaneously; 3 trials conducted in experiment | unitless |
shell_ID | identification number of spat covered shell; 288 shells used in total; 4 spat per shell | unitless |
tank_ID_1 | designation of tanks holding artificial reefs and spat covered shells; 18 tanks run in entire experiment | unitless |
apexpred_treatment | crab treatment; apex blue crab present (crab) or absent (no crab) | unitless |
shelter_treatment | oyster shell location; spat covered shell placed within artificial reef (covered) or placed in exposed location outside of cover (uncovered) | unitless |
induction_treatment | oyster induction treatment; oyster spat grown with predator cues present (induced) or without predator cues (not induced) | unitless |
day1 | number of surviving spat on individual shell after ~24 hours; 4 spat originally on shell | unitless |
day2 | number of surviving spat on individual shell after ~48 hours; 4 spat originally on shell | unitless |
day3 | number of surviving spat on individual shell after ~72 hours; 4 spat originally on shell | unitless |
NSF Award Abstract:
Many prey species use chemicals released in predator urine to detect imminent danger and respond appropriately, but the identity of these ‘molecules of fear’ remains largely unknown. This proposal examines whether prey detect different estuarine predators using the same chemical or whether the identity of the chemical signals varies. Experiments focus on common and important estuarine prey, mud crabs and oysters, and their predators including fishes, crustaceans and marine snails. Bioactive molecules are being collected from predators and prey and characterized. The goal is to determine if there are predictive relationships between either the composition of prey flesh or the predator taxon and the signal molecule. Understanding the molecular nature of these cues can determine if there are general rules governing likely signal molecules. Once identified, investigators will have the ability to precisely manipulate or control these molecules in ecological or other types of studies. Oysters are critical to estuarine health, and they are important social, cultural and economic resources. Broader impacts of the project include training of undergraduate and graduate students from diverse backgrounds and working with aquaculture facilities and conservation managers to improve growth and survival of oysters. One response to predator cues involves creating stronger shells to deter predation. Determining the identity of cues used by oysters to detect predators can provide management options to produce oysters that either grow faster or are more resistant to predators. Project personnel is working with oystermen to increase yields of farmed oysters by managing chemical cues.
For marine prey, waterborne chemical cues are important sources of information regarding the threat of predation, thus, modulating non-consumptive effects of predation in many systems. Often such cues are produced when the predators consume the flesh of that prey. In nearly all cases, the specific bioactive molecules responsible for modulating these interactions are unknown, raising the question whether there is a universal molecule of fear that prey respond to. Thus, the focus of the project is to determine the generality of fear-inducing metabolites released by predators and prey in estuarine food webs. The project combines metabolomics analysis of diet-derived urinary metabolites with bioassays to identify the bioactive molecules producing responses in two prey species from different taxonomic groups and trophic levels (oysters, mud crabs). Metabolites are sampled from three types of predators, fish, gastropods or crustaceans. This project aims to: 1) identify bioactive molecules produced by several common estuarine predators from different taxa; 2) compare cues from predators that induce defenses in prey vs. changes in prey behavior; and 3) contrast the identities and effects of predator-released cues with fear-inducing molecules from injured conspecifics. By identifying and contrasting the effects of waterborne molecules that induce prey responses from six predators and injured prey, this project is yielding insights into the mechanisms that mediate non-lethal predator effects, while addressing long-standing questions related to predator-prey interactions. In addition to the search of a universal molecule of fear, the experiments are exploring the role of complementary and distinct chemical information on the specificity of prey responses to different types of predators.
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.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |