http://lod.bco-dmo.org/id/dataset/895791
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
2023-05-09
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Hatchery-reared spat data from laboratory experiments performed to investigate the effect of salinity on juvenile oyster growth in 2019 and 2020
2023-05-09
publication
2023-05-09
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2023-05-12
publication
https://doi.org/10.26008/1912/bco-dmo.895791.1
Dr Matthew Hare
Cornell University
principalInvestigator
Daphne Munroe
Rutgers University
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: Munroe, D., Hare, M. (2023) Hatchery-reared spat data from laboratory experiments performed to investigate the effect of salinity on juvenile oyster growth in 2019 and 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-05-09 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.895791.1 [access date]
Methods and Sampling: <p>This methodology describes this hatchery spat dataset as well as the related wild spat dataset:<br />
<br />
This study examined how salinity and salinity history influence oyster spat growth . This was tested using two experiments, one using wild spat placed into different salinity treatments in the laboratory (referred to as Wild Spat Experiment, see Related Datasets section for methods) and another using hatchery raised spat which grew from larvae set in different salinities then transferred into new salinities after three weeks postset (referred to as Hatchery Spat Experiment, results reported in this dataset). Wild spat provided observations linked to pre-experiment conditions in the wild (larval dispersal, settlement, and early postset growth) to provide results of greater potential relevance to understanding effects of the natural estuarine gradient. The datasets provide the size of the oyster spat at the time they were placed into the final salinity treatments and at the end of the experiment.</p>
<p>See methodology in methods and results published in Manuel et al., 2023<br />
<br />
Though laboratory-based, the geospatial range for Delaware Bay is used for this dataset due to&nbsp;use of some Delaware Bay oysters used to produce the animals, and filtered sea water from Delaware Bay was used.</p>
<div>Instruments</div>
<div>Equipment for these experiments included tanks, algal paste, microscopes, micrometers and calipers.</div>
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
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1756698 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1756698
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1756592 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1756592
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
asNeeded
Dataset Version: 1
Unknown
Initial_Salinity
Final_Salinity
Replicate
Spat_Type
Initial_Size_average
Coefficient_of_Variation_Initial_Size
Final_Size_average
Coefficient_of_Variation_Final_Size
theme
None, User defined
salinity
replicate
sample description
length
No BCO-DMO term
featureType
BCO-DMO Standard Parameters
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
-75.6666
-74.83333
38.75
39.43333
2019-10-01
2020-12-01
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 Hatchery-reared spat data from laboratory experiments performed to investigate the effect of salinity on juvenile oyster growth in 2019 and 2020
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/895922.rdf
Name: Initial_Salinity
Units: Practical Salinity Units (PSU)
Description: <p>The salinity that the post-set spat were exposed to before the start of the experiment. For the Selected spat, this exposure was 2 weeks in duration; for the Hybrid spat this exposure was 3 weeks in duration.</p>
http://lod.bco-dmo.org/id/dataset-parameter/895923.rdf
Name: Final_Salinity
Units: Practical Salinity Units (PSU)
Description: <p>The spat were moved to a new salinity regime for the experiment. These salinities were replicated. Both spat types were in this final salinity for a duration of 3 weeks.</p>
http://lod.bco-dmo.org/id/dataset-parameter/895924.rdf
Name: Replicate
Units: unitless
Description: <p>Each combination of initial and final salinity was replicated four times (named A, B, C, D). Where a replicate is missing for a given combination of treatments in this dataset, the given replicate tank was lost or there were insufficient spat surviving to the end of the experiment.</p>
http://lod.bco-dmo.org/id/dataset-parameter/895925.rdf
Name: Spat_Type
Units: unitless
Description: <p>Spat type (Hybrid or Selected, see methodology)</p>
http://lod.bco-dmo.org/id/dataset-parameter/895926.rdf
Name: Initial_Size_average
Units: micrometers (um)
Description: <p>Spat length was measured for ten randomly selected spat in each experimental unit (treatment combination and replicate). The reported size is the spat length (hinge to growing edge) in micrometers (um) for the average across the ten measured spat.</p>
http://lod.bco-dmo.org/id/dataset-parameter/895927.rdf
Name: Coefficient_of_Variation_Initial_Size
Units: micrometers (um)
Description: <p>The standard deviation across all individual spat measured in each experimental unit (treatment combination and replicate) was calculated. Coefficient of variation is the ratio of the standard deviation to the average initial size.</p>
http://lod.bco-dmo.org/id/dataset-parameter/895928.rdf
Name: Final_Size_average
Units: micrometers (um)
Description: <p>Spat length was measured for ten randomly selected spat in each experimental unit (treatment combination and replicate). The reported size is the spat length (hinge to growing edge) in micrometers (um) for the average across the ten measured spat. The duration of time for the experiment was 3 weeks (21 days), meaning the difference in growth from initial to final size is the average growth over 21 days.</p>
http://lod.bco-dmo.org/id/dataset-parameter/895929.rdf
Name: Coefficient_of_Variation_Final_Size
Units: micrometers (um)
Description: <p>The standard deviation across all individual spat measured in each experimental unit (treatment combination and replicate) was calculated. Coefficient of variation is the ratio of the standard deviation to the average final size.</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
3502
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/22ed4b13-9446-4e7b-9759-1e1828a7071b/content
download
https://doi.org/10.26008/1912/bco-dmo.895791.1
download
onLine
dataset
<p>This methodology describes this hatchery spat dataset as well as the related wild spat dataset:<br />
<br />
This study examined how salinity and salinity history influence oyster spat growth . This was tested using two experiments, one using wild spat placed into different salinity treatments in the laboratory (referred to as Wild Spat Experiment, see Related Datasets section for methods) and another using hatchery raised spat which grew from larvae set in different salinities then transferred into new salinities after three weeks postset (referred to as Hatchery Spat Experiment, results reported in this dataset). Wild spat provided observations linked to pre-experiment conditions in the wild (larval dispersal, settlement, and early postset growth) to provide results of greater potential relevance to understanding effects of the natural estuarine gradient. The datasets provide the size of the oyster spat at the time they were placed into the final salinity treatments and at the end of the experiment.</p>
<p>See methodology in methods and results published in Manuel et al., 2023<br />
<br />
Though laboratory-based, the geospatial range for Delaware Bay is used for this dataset due to&nbsp;use of some Delaware Bay oysters used to produce the animals, and filtered sea water from Delaware Bay was used.</p>
<div>Instruments</div>
<div>Equipment for these experiments included tanks, algal paste, microscopes, micrometers and calipers.</div>
Specified by the Principal Investigator(s)
<div>Data processing</div>
<div>Data provided are average size for a given experimental unit.<br />
<br />
BCO-DMO Data Manager Processing Notes:<br />
* Sheet 1 of file "HatcherySpatSizes.xlsx " was imported into the BCO-DMO data system<br />
* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores.&nbsp; Can not start with a number]<br />
* 7th data column with name column name "Final Salinity (average um)" renamed to "Final_Size_average" as it was described in provided metadata.&nbsp; This was reviewed by the data submitter.</div>
Specified by the Principal Investigator(s)
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