http://lod.bco-dmo.org/id/dataset/872323
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2022-03-23
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Archived Oyster Samples Collected from the Delaware Bay from 2018 to 2021 (SEGO project)
2022-03-23
publication
2022-03-23
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2024-03-18
publication
https://doi.org/10.26008/1912/bco-dmo.872323.1
Dr Matthew Hare
Cornell University
principalInvestigator
Daphne Munroe
Rutgers University
principalInvestigator
Elizabeth North
University of Maryland Center for Environmental Science
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Hare, M., Munroe, D., North, E. (2024) Archived Oyster Samples Collected from the Delaware Bay from 2018 to 2021 (SEGO project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-03-23 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.872323.1 [access date]
Delaware Bay oyster archived tissues Dataset Description: Methods and Sampling: <p><strong>Sampling and analytical procedures:</strong></p>
<p>Spat and adult samples dredge-collected from the James Joseph research vessel were based on standard operating procedures for the Haskin Shellfish Research Laboratory annual dredge survey to monitor the natural oyster (seed) beds on the New Jersey side of Delaware Bay. Annual stock assessment workshop reports related to these samples (Rutgers oyster SAW reports) are available at <a href="%22">https://hsrl.rutgers.edu/documents/delaware-bay-oyster-stock-assessment-reports/</a> and should be consulted for dredge method details and definitions for spat versus adult life stages. Additional published reports describing aspects of the oyster population are given below.</p>
<p>In general for transect analysis samples, sample collections for the SEGO project piggy-backed on Haskin monthly monitoring program collections. The Haskin program consistently samples oysters from the same grids every month (see SAW reports for a definition of grid). Dredge contents were hand sorted to find spat if present. All spat were collected. A sample of 50 adult oysters from each site was haphazardly (without size selection) culled, cleaned of fouling organisms, measured for shell height (hinge to longest dimension), and shucked for tissue dissection and preservation in ethanol. For challenge experiments, many more dredge hauls were required from the same area to find sufficient numbers of similar-sized adults. They were processed by cleaning them of fouling organisms and arranging them in four ambient-salinity and room temperature raceways and fed frozen shellfish diet according to manufacturers protocols: 0.18 mL per animal based on 10g meat weight. Feces and pseudo-fences were siphoned out every day and water was changed approximately every 4th day throughout the challenge experiment. Challenge experimental protocols will be reported in conjunction with genomic analyses.
</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1756712 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1756712
completed
Dr Matthew Hare
Cornell University
607-255-5685
Department of Natural Resources 213 Bruckner Hall
Ithaca
NY
14853
USA
mph75@cornell.edu
pointOfContact
Daphne Munroe
Rutgers University
(856) 785-0074 x4325
dmunroe@hsrl.rutgers.edu
pointOfContact
Elizabeth North
University of Maryland Center for Environmental Science
410-221-8497
5745 Lovers Lane
Cambridge
MD
21613
USA
enorth@umces.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Date
Species
location_1
location_2
lat
lon
No_individ
life_stage
tissue_type
Experiment
preservative
collector
vessel
method
Temp
Salinity
DO
Notes
YSI handheld Pro2030
theme
None, User defined
date
species scientific name (binomial)
site
latitude
longitude
count
stage
sample type
experiment type
sample description
person name
ship
sampling_method
water temperature at measurement depth
salinity
dissolved Oxygen
comments
featureType
BCO-DMO Standard Parameters
Conductivity Meter
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters
https://osprey.bco-dmo.org/project/805117
Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters
<p>NSF abstract:</p>
<p>Many marine animals have a bipartite life cycle consisting of a stationary bottom-dwelling adult stage and a mobile larval stage. The flow of water transports these larval offspring, and their genes, to different habitat patches. It is thought that animals from nearby patches will be more genetically similar than animals in patches that are further in proximity, but these patterns of genetic similarity may not be maintained if the nearby patches have different habitat characteristics. This idea is fundamental to our understanding of adaptation and evolution, but it has not been adequately tested with respect to the effects of rapid selection. This study applies new technologies to test if the genetic signatures of marine animals change even when patches with different environmental characteristics are closer together than the dispersal distance of larvae. This research focuses on eastern oysters (Crassostrea virginica) in Delaware Bay, and their ability to withstand variability in the amount of salt in the water. This study will provide new insights on factors that control oyster survival and growth in estuaries with different salinity profiles. The three investigators are sharing study results with resource managers and stakeholders to improve shellfish restoration and oyster stock management in Delaware Bay, Chesapeake Bay, and New York. A postdoctoral scholar at Cornell and graduate student at the University of Maryland are being trained and mentored during the project. The investigators are also working with teacher training programs in New York and New Jersey to develop and disseminate new curriculum materials on oyster ecology for middle-school students.</p>
<p>The project will investigate whether hyposalinity tolerance of oysters is a function of viability selection during larval dispersal and after settlement. Gene flow across salinity zones within an estuary is expected to be high enough that adaptive differentiation will not result from Darwinian multigenerational processes. Instead, recurrent viability selection in each generation is expected to generate spatial variation in this trait at small spatial scales. This type of recurrent within-generation adaptation has been referred to as phenotype-environment mismatches and has been hypothesized to generate balanced polymorphisms, but it has never been studied beyond single gene cases. The project team is testing for spatially discrete patterns of selection by first collecting oysters from different salinity zones, measuring variation in their tolerance to low salinity and then testing for associations between this trait and genomic variation using whole genome sequencing. Experimental hyposalinity challenges enable within-generation, before/after genomic comparisons to identify DNA variants that change as a result of strong viability selection. Candidate genes and selectively neutral control loci will be assayed in larval, juvenile, and adult samples from the same salinity zones to test for an association between variation at candidate loci and lifetime hyposalinity exposure. Two years of environmental data will be collected and added to an existing long-term data set to map salinity variation. The observed spatial distribution of hyposalinity tolerance and genomic variation associated with it provide a test that could definitively reject the prevalent assumption that all larvae have similar capabilities. If larvae differ by parental source for traits that differentially affect their viability in the plankton, then phenotype-environment mismatches can have profound consequences for population connectivity. This project improves understanding about mechanisms that shape realized larval dispersal and recruitment variation in oyster populations.</p>
<p>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.</p>
SEGO
largerWorkCitation
project
eng; USA
oceans
-75.518
-75.248
39.2358
39.442
2018-10-19
2021-06-28
Delaware Bay, NJ side of channel: 39.43 N, -75.50 W to 39.14 N, -75.14 W
0
BCO-DMO catalogue of parameters from Archived Oyster Samples Collected from the Delaware Bay from 2018 to 2021 (SEGO project)
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/897457.rdf
Name: Date
Units: unitless
Description: <p>Date of sample collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/897458.rdf
Name: Species
Units: unitless
Description: <p>Latin name (Crassostrea genus abbreviated "C")</p>
http://lod.bco-dmo.org/id/dataset-parameter/897459.rdf
Name: location_1
Units: unitless
Description: <p>Name of estuary</p>
http://lod.bco-dmo.org/id/dataset-parameter/897460.rdf
Name: location_2
Units: unitless
Description: <p>Name of oyster bed</p>
http://lod.bco-dmo.org/id/dataset-parameter/897461.rdf
Name: lat
Units: decimal degrees
Description: <p>Latitude in decimal degrees; positive values represent Northern coordinates</p>
http://lod.bco-dmo.org/id/dataset-parameter/897462.rdf
Name: lon
Units: decimal degrees
Description: <p>Longitude in decimal degrees; negative values represent Western coordinates</p>
http://lod.bco-dmo.org/id/dataset-parameter/897463.rdf
Name: No_individ
Units: unitless
Description: <p>Number of individuals in a sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/897464.rdf
Name: life_stage
Units: unitless
Description: <p>Adults/spat/larvae</p>
http://lod.bco-dmo.org/id/dataset-parameter/897465.rdf
Name: tissue_type
Units: unitless
Description: <p>Type of tissue dissected and preserved</p>
http://lod.bco-dmo.org/id/dataset-parameter/897466.rdf
Name: Experiment
Units: unitless
Description: <p>Specific experiment the sample was used for</p>
http://lod.bco-dmo.org/id/dataset-parameter/897467.rdf
Name: preservative
Units: unitless
Description: <p>Name of chemical preservative</p>
http://lod.bco-dmo.org/id/dataset-parameter/897468.rdf
Name: collector
Units: unitless
Description: <p>List of collectors, primary listed first</p>
http://lod.bco-dmo.org/id/dataset-parameter/897469.rdf
Name: vessel
Units: unitless
Description: <p>Name of research vessel</p>
http://lod.bco-dmo.org/id/dataset-parameter/897470.rdf
Name: method
Units: unitless
Description: <p>Method of oyster collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/897471.rdf
Name: Temp
Units: degrees Celsius
Description: <p>Temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/897472.rdf
Name: Salinity
Units: practical salinity units
Description: <p>Salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/897473.rdf
Name: DO
Units: mg/L
Description: <p>Dissolved oxygen</p>
http://lod.bco-dmo.org/id/dataset-parameter/897474.rdf
Name: Notes
Units: unitless
Description: <p>Sample notes</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
8197
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/d424778b-1ea0-4d50-9b8e-f4e8c9b5c5b9/content
download
https://doi.org/10.26008/1912/bco-dmo.872323.1
download
onLine
dataset
<p><strong>Sampling and analytical procedures:</strong></p>
<p>Spat and adult samples dredge-collected from the James Joseph research vessel were based on standard operating procedures for the Haskin Shellfish Research Laboratory annual dredge survey to monitor the natural oyster (seed) beds on the New Jersey side of Delaware Bay. Annual stock assessment workshop reports related to these samples (Rutgers oyster SAW reports) are available at <a href="%22">https://hsrl.rutgers.edu/documents/delaware-bay-oyster-stock-assessment-reports/</a> and should be consulted for dredge method details and definitions for spat versus adult life stages. Additional published reports describing aspects of the oyster population are given below.</p>
<p>In general for transect analysis samples, sample collections for the SEGO project piggy-backed on Haskin monthly monitoring program collections. The Haskin program consistently samples oysters from the same grids every month (see SAW reports for a definition of grid). Dredge contents were hand sorted to find spat if present. All spat were collected. A sample of 50 adult oysters from each site was haphazardly (without size selection) culled, cleaned of fouling organisms, measured for shell height (hinge to longest dimension), and shucked for tissue dissection and preservation in ethanol. For challenge experiments, many more dredge hauls were required from the same area to find sufficient numbers of similar-sized adults. They were processed by cleaning them of fouling organisms and arranging them in four ambient-salinity and room temperature raceways and fed frozen shellfish diet according to manufacturers protocols: 0.18 mL per animal based on 10g meat weight. Feces and pseudo-fences were siphoned out every day and water was changed approximately every 4th day throughout the challenge experiment. Challenge experimental protocols will be reported in conjunction with genomic analyses.
</p>
Specified by the Principal Investigator(s)
- Dates converted from mm/dd/yyyy format to yyyy-mm-dd format
- Latitude and longitude fields rounded consistently to 5 decimal places
- Temperature and salinity fields rounded consistently to 1 decimal place
- Dissolved oxygen field rounded to 2 decimal places
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
YSI handheld Pro2030
YSI handheld Pro2030
PI Supplied Instrument Name: YSI handheld Pro2030 PI Supplied Instrument Description:YSI handheld Pro2030 calibrated for conductivity at the start of the season and again mid-season. Instrument Name: Conductivity Meter Instrument Short Name:Conductivity Meter Instrument Description: Conductivity Meter - An electrical conductivity meter (EC meter) measures the electrical conductivity in a solution. Commonly used in hydroponics, aquaculture and freshwater systems to monitor the amount of nutrients, salts or impurities in the water.