Salinity tolerance of oysters without acclimation in lab conditions: Water Quality

Website: https://www.bco-dmo.org/dataset/870316
Data Type: experimental
Version: 1
Version Date: 2023-02-17

Project
» Collaborative Research: Testing for local adaptation and responses to multiple stressors in populations of eastern oysters inhabiting a natural salinity gradient (Oyster adaptation)
ContributorsAffiliationRole
Kelly, MorganLouisiana State University (LSU)Principal Investigator
Pollack, Jennifer BeseresTexas A&M, Corpus Christi (TAMU-CC)Principal Investigator, Contact
La Peyre, JeromeLouisiana State University (LSU)Co-Principal Investigator
Breaux, NatashaTexas A&M, Corpus Christi (TAMU-CC)Technician
Palmer, TerryTexas A&M, Corpus Christi (TAMU-CC)Data Manager
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
The mortality of oyster spat spawned from four different wild broodstocks (first filial generation) was measured when exposed to five different salinities (without acclimation) under controlled laboratory conditions. Oyster broodstocks were sourced from two populations in Louisiana (Calcasieu Lake; 29°50′58′′N, 93°17′1′′W, and Vermilion Bay; 29°34′47′′N, 92°2′4′′W) and two populations in Texas (Packery Channel; 27°37′38′′N, 97°13′59′′W, and Aransas Bay; 28°7′38′′N, 96°59′8′′W). Mortality was recorded in oyster spat that were exposed to salinities of 2, 4, 20, 38 and 44 without acclimation under laboratory conditions. Changes in water quality and spat size were also recorded.


Coverage

Spatial Extent: N:29.86611 E:-92.03444 S:27.62722 W:-97.23306
Temporal Extent: 2018-11-29 - 2019-04-19

Dataset Description

A detailed description of methods was written by Marshall et al. (2021). In summary, mortality of oyster spat spawned from four different broodstocks was measured when exposed to five different salinities (without acclimation) under controlled laboratory conditions. Oyster broodstocks were sourced from two populations in Louisiana (Calcasieu Lake; 29°50′58′′N, 93°17′1′′W, and Vermilion Bay; 29°34′47′′N, 92°2′4′′W) and two populations in Texas (Packery Channel; 27°37′38′′N, 97°13′59′′W, and Aransas Bay; 28°7′38′′N, 96°59′8′′W). This salinity tolerance experiment was conducted in November–December 2018 (Trial 1) and March–April 2019 (Trial 2) at Texas A&M University-Corpus Christi.


Methods & Sampling

In each trial, 25 oysters from each stock were placed in labelled petri dishes within 15 38-L tanks (100 oysters per tank) with aerated artificial seawater (using Instant Ocean Reef Crystals Reef Salt, Blacksburg, Virginia) at 25 °C and salinities of 2.0, 4.0, 20.0, 38.0 and 44.0; each salinity treatment was replicated three times (5 salinity treatments × 3 replicate groups = 15 tanks). The temperature of each tank was maintained using Hydor 100W submersible glass aquarium heaters. Oxygen was supplied to each aquarium via air pump/stone, and tanks were heated to approx. 25 oC. Temperature and salinity from each tank were recorded daily. Nutrient (NO2, NO2, NH3/NH4) concentrations in each tank were measured approximately weekly. Oysters were fed daily with Shellfish Diet 1800® at approximately 3mL/100 oysters unless the water was cloudy (i.e., food from the previous day hadn’t been consumed). Trial 2 is a repeat of the same experiment conducted in Nov/Dec 2018 using the same oyster stock. The only difference is that three aquaria of salinity 20 were added with no airstone to compare oyster mortality in low and high oxygen concentrations.


Data Processing Description

Every other day, the numbers of live and dead oysters of each stock in each tank were counted over a 3-week period and the dead oysters were removed. Oysters were determined to be dead if their valves (shells) remained open despite any handling.

Water temperature was measured using an aquarium thermometer or YSI ProDSS multiprobe. Salinity was measured using a Fisher Scientific portable refractometer or YSI ProDSS multiprobe. Dissolved oxygen concentrations and saturation, and pH were measured using a YSI ProDSS multiprobe. Nutrients were measured using API test strips or API Liquid Test Kit. YSI ProDSS sensors were calibrated at least weekly.

BCO-DMO processing:
* Added ISO_DateTime_UTC column based on date and time (in CDT) columns.
* Replaced , to ; in comments section to comply with database requirements
* Adjusted column names to comply with database requirements


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Data Files

File
water_quality.csv
(Comma Separated Values (.csv), 119.73 KB)
MD5:ef7ab3e7a8b5ef90f2d3b6caf1140609
Primary data file for dataset ID 870316

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Related Publications

Marshall, D.A., S.M. Casas, W.C. Walton, F.S. Rikard, T.A. Palmer, N. Breaux, M.K. La Peyre, J. Beseres Pollack, M. Kelly and J.F. La Peyre, Divergence in salinity tolerance of northern Gulf of Mexico eastern oysters under field and laboratory exposure, Conservation Physiology, Volume 9, Issue 1, 2021, coab065, https://doi.org/10.1093/conphys/coab065
Results

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Related Datasets

IsRelatedTo
Pollack, J. B., Palmer, T., Breaux, N., Kelly, M., La Peyre, J. (2023) Salinity tolerance of oysters without acclimation in lab conditions: mortality. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-02-24 doi:10.26008/1912/bco-dmo.870210.1 [view at BCO-DMO]
Relationship Description: Observations of same experiment.
Pollack, J. B., Palmer, T., Breaux, N., Kelly, M., La Peyre, J. (2023) Salinity tolerance of oysters without acclimation in lab conditions: shell heights. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-02-24 doi:10.26008/1912/bco-dmo.870248.1 [view at BCO-DMO]
Relationship Description: Observations of same experiment.

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Parameters

ParameterDescriptionUnits
TrialTrial number, trial 1 or trial 2 unitless
DateDate in CDT timezone in ddMMMyyyy format unitless
TimeTime in CDT timezone in hh:mm (24 hr) format unitless
ISO_DateTime_UTCSampling date and time in UTC timezone in ISO format unitless
TankTank numbered 1-15
RepReplicate numbered 1-3
TreatmentSalinity Treatment (2, 4, 20, 38, 44) unitless
TempRecorded Temperature (YSI ProDSS or aquarium thermometer) Degrees Celsius (°C)
SalinityRecorded Salinity (Fisher portable refractometer or YSI ProDSS ) unitless
NH3_NH4Ammonia/Ammonium (API Test Strips/Liquid Test Kit) ppm (mg/L)
NO2Nitrite (Api Test Strips ) ppm (mg/L)
NO3Nitrate (Api Test Strips ) ppm (mg/L)
pHpH (YSI ProDSS) unitless
DODissolved Oxygen (YSI ProDSS) mg/L
SourceRefractometer or YSI sonde, API strips or test kit unitless
Heater_AdjustedWas heater adjusted? Y or N unitless
F_W_addedVolume of freshwater added liters (L)
Water_ChangeVolume of water (of equal salinity) exchanged with tank liters (L)
Qty_FedQuantity of Reed 1800 Shellfish Diet provided (3mL Disposable Pippette) mL
CommentsComments unitless


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Instruments

Dataset-specific Instrument Name
YSI ProDSS multiprobe
Generic Instrument Name
Water Quality Multiprobe
Dataset-specific Description
Water temperature was measured using an aquarium thermometer or YSI ProDSS multiprobe.Dissolved oxygen concentrations and saturation, and pH were measured using a YSI ProDSS multiprobe. YSI ProDSS sensors were calibrated at least weekly.
Generic Instrument Description
An instrument which measures multiple water quality parameters based on the sensor configuration.

Dataset-specific Instrument Name
Generic Instrument Name
Salinity Sensor
Dataset-specific Description
Fisher Scientific portable refractometer or YSI ProDSS multiprobe
Generic Instrument Description
Category of instrument that simultaneously measures electrical conductivity and temperature in the water column to provide temperature and salinity data.


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Project Information

Collaborative Research: Testing for local adaptation and responses to multiple stressors in populations of eastern oysters inhabiting a natural salinity gradient (Oyster adaptation)

Coverage: Gulf of Mexico, North America


NSF Award Abstract:

The project focuses on understanding how oysters from different regions in the Gulf of Mexico (GOM) will be affected by ongoing changes to salinity and temperature caused by a warming climate, altered rainfall patterns, and changes in land use in this region. The oyster fishery in the GOM provides more than half of the national total, and these oyster reefs provide water filtration, shoreline stability, and critical habitat for other species. By investigating how present-day oyster populations respond to changes in temperature and salinity, this research will provide valuable information to ecologists, conservation biologists, state managers, and small-scale farmers as they plan for the effects of future changes in the environment. By identifying populations of oysters that are the most resilient to environmental changes, this research will identify potential source populations that may be used in future restoration efforts aimed at declining populations. Additionally this project will integrate research and education through a semester-long immersive research experience. Three undergraduates, two graduate students, and a postdoctoral scholar will be mentored. Public outreach will be conducted through development of middle school lesson plans, public lectures, and dissemination of results to managers.

This research will test whether eastern oysters (Crassotrea virginica) in the Gulf of Mexico are locally adapted to salinity, and whether combined changes in salinity and temperature will have synergistic effects on oyster physiology and ecology. Both temperature and salinity are expected to change rapidly in the Gulf of Mexico over the coming century, due to effects of climate change, altered rainfall patterns, and changes to coastal hydrology. Oysters are a critical habitat-forming species in this region, and while they inhabit a wide range of salinities, preliminary data indicate substantial differences in salinity tolerances among populations. This research will integrate genomic and physiological tools with controlled rearing experiments to (1) quantify genomic variation among populations of C. virginica, (2) test for local adaptation, and (3) measure physiological rates and gene expression as a function of temperature and salinity. The investigators will then use these data to build estuary-specific dynamic energy budget models, linking salinity and temperature to population growth. This project will provide critical support to ongoing restoration efforts, identifying adaptive variation among populations targeted for supportive breeding programs and informing management decisions in the face of ongoing ocean warming and changes to coastal hydrology.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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