http://lod.bco-dmo.org/id/dataset/883070
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
2022-10-27
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Microbial taxa (amplicon sequence variant or ASV) statistical analyses for two seagrass genotypes from wasting disease mesocosm experiments at Bodega Marine Laboratory in July-Sept of 2015
2022-10-27
publication
2022-10-27
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-11-22
publication
https://doi.org/10.26008/1912/bco-dmo.883070.1
A. Randall Hughes
Northeastern University
principalInvestigator
Katherine DuBois
University of California-Davis
principalInvestigator
Melissa Kardish
University of California-Davis
principalInvestigator
Forest Schenck
Northeastern University
principalInvestigator
John J. Stachowicz
University of California-Davis
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: Schenck, F., DuBois, K., Kardish, M., Stachowicz, J. J., Hughes, A. R. (2022) Microbial taxa (amplicon sequence variant or ASV) statistical analyses for two seagrass genotypes from wasting disease mesocosm experiments at Bodega Marine Laboratory in July-Sept of 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-10-27 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.883070.1 [access date]
Methods and Sampling: <p>We used a substitutive design to test the effects of eelgrass (Zostera marina) genotypic identity (eight genotypes), diversity (monocultures of 1 genotype vs. polycultures of 4 genotypes), and temperature (ambient or + 3.2° C) on the prevalence and intensity of&nbsp;<em>Labyrinthula</em>&nbsp;over eight weeks in an array of flow-through 120-L mesocosms at the Bodega Marine Laboratory in Bodega Bay, CA. In July 2015, we created ten unique polyculture combinations of four genotypes (4 genotypes per experimental pot) randomly drawn from a pool of eight genotypes; all eight genotypes were also grown in monoculture (1 genotype per pot). We filled pots (8.9 x 8.9 cm) with coarsely sieved sediment collected from Bodega Harbor, and planted 4 shoots per pot, matching the lower range of average field densities reported for Bodega Harbor (Ha and Williams 2018) to allow for growth during the experiment. Plants were originally collected in Bodega Harbor, CA in 2012, confirmed to be unique genotypes using 11 DNA microsatellite loci developed specifically for&nbsp;<em>Z. marina</em>&nbsp;(Abbott et al. 2018), and propagated in separate flow through mesocosms at BML.</p>
<p>At the end of the experiment (10 weeks), we collected and preserved the top half of the focal leaf in individual plastic bags sealed with 30 ml of silica (Flower Drying Art Silica Gel; Activa) for subsequent DNA extraction and quantitative PCR to estimate&nbsp;<em>Labyrinthula zosterae</em>&nbsp;cells as a proxy for infection (Bergmann et al. 2011, Bockelmann et al. 2013, Groner et al. 2021).</p>
<p>We collected 2 cm of the focal leaf from directly below the midpoint and stored the tissue at -80˚C for later microbiome analyses to assess whether particular leaf microbial taxa changed in association with&nbsp;<em>Labyrinthula</em>&nbsp;presence on the focal leaf. From these samples, we selected a subset of 84 leaf microbial samples evenly distributed across temperature treatments and across genotypes in monoculture. We did not assess leaf microbiomes in genotypic polycultures. We extracted the surface community of these leaf segments with a modified protocol for the DNeasy Powersoil Kit (Qiagen) and sequenced the V4-V5 region of the 16S rRNA gene on an Illumina MiSeq to analyze differences in the leaf microbiome between treatments and among genotypes. Specifically, to extract the surface community of leaf segments we used a modified protocol for the DNeasy Powersoil Kit (Qiagen) where we first vortexed leaf samples in 500ul of MilliQ water, and then extracted the supernate of each sample. Extraction success was verified via Qubit dsDNA HS assay kit. We PCR-amplified the V4-V5 region of the 16S rRNA gene and then sequenced pooled barcoded fragments on an Illumina MiSeq through the Integrated Microbiome Resource at Dalhousie University (Halifax, NS; Comeau et al. 2017).<br />
<br />
<strong>Life Science&nbsp;Identifiers (LSID) for taxonomic names:</strong><br />
Zostera marina (urn:lsid:marinespecies.org:taxname:145795)<br />
Labyrinthula zosterae (urn:lsid:marinespecies.org:taxname:395093)<br />
Labyrinthula (urn:lsid:marinespecies.org:taxname:119090)</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1652320 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1652320
completed
A. Randall Hughes
Northeastern University
781-581-7370
430 Nahant Rd.
Nahant
MA
01908
USA
ann.hughes@northeastern.edu
pointOfContact
Katherine DuBois
University of California-Davis
Bowdoin College Schiller Coastal Studies Center 6775 College Station
Brunswick
ME
04011-8479
USA
khoering@gmail.com
pointOfContact
Melissa Kardish
University of California-Davis
707-875-1968
University of California Davis Bodega Marine Lab P.O.Box 247, 2099 Westshore Road
Bodega Bay
CA
94923
USA
mrkardish@ucdavis.edu
pointOfContact
Forest Schenck
Northeastern University
30 Emerson Avenue
Gloucester
MA
01930
USA
forest.schenck@mass.gov
pointOfContact
John J. Stachowicz
University of California-Davis
530-752-1113
Department of Evolution and Ecology 1 Shields Ave
Davis
CA
95616
USA
jjstachowicz@ucdavis.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Sequence
Kingdom
Phylum
Class
Order
Family
Genus
Species
baseMean
log2FoldChange_comp1
lfcSE_comp1
padj_comp1
log2FoldChange_comp2
lfcSE_comp2
padj_comp2
log2FoldChange_comp3
lfcSE_comp3
padj_comp3
log2FoldChange_comp4
lfcSE_comp4
padj_comp4
log2FoldChange
lfcSE
padj
flow through tanks
Illumina MiSeq
theme
None, User defined
sequence
taxon
No BCO-DMO term
featureType
BCO-DMO Standard Parameters
Aquarium
Automated DNA Sequencer
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.
CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems
https://osprey.bco-dmo.org/project/709942
CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems
<p><em>NSF Award Abstract:</em><br />
Disease outbreaks in the ocean are increasing, causing losses of ecologically important marine species, but the factors contributing to these outbreaks are not well understood. This 5-year CAREER project will study disease prevalence and intensity in two marine foundation species - the seagrass Zostera marina and the Eastern oyster Crassostrea virginica. More specifically, host-disease relationships will be explored to understand how genetic diversity and population density of the host species impacts disease transmission and risk. This work will pair large-scale experimental restorations and smaller-scale field experiments to examine disease-host relationships across multiple spatial scales. Comparisons of patterns and mechanisms across the two coastal systems will provide an important first step towards identifying generalities in the diversity-density-disease relationship. To enhance the broader impacts and utility of this work, the experiments will be conducted in collaboration with restoration practitioners and guided by knowledge ascertained from key stakeholder groups. The project will support the development of an early career female researcher and multiple graduate and undergraduate students. Students will be trained in state-of-the-art molecular techniques to quantify oyster and seagrass parasites. Key findings from the surveys and experimental work will be incorporated into undergraduate courses focused on Conservation Biology, Marine Biology, and Disease Ecology. Finally, students in these courses will help develop social-ecological surveys and mutual learning games to stimulate knowledge transfer with stakeholders through a series of workshops.</p>
<p>The relationship between host genetic diversity and disease dynamics is complex. In some cases, known as a dilution effect, diversity reduces disease transmission and risk. However, the opposite relationship, known as the amplification effect, can also occur when diversity increases the risk of infection. Even if diversity directly reduces disease risk, simultaneous positive effects of diversity on host density could lead to amplification by increasing disease transmission between infected and uninfected individuals. Large-scale field restorations of seagrasses (Zostera marina) and oysters (Crassostrea virginica) will be utilized to test the effects of host genetic diversity on host population density and disease prevalence/intensity. Additional field experiments independently manipulating host genetic diversity and density will examine the mechanisms leading to dilution or amplification. Conducting similar manipulations in two marine foundation species - one a clonal plant and the other a non-clonal animal - will help identify commonalities in the diversity-density-disease relationship. Further, collaborations among project scientists, students, and stakeholders will enhance interdisciplinary training and help facilitate the exchange of information to improve management and restoration efforts. As part of these efforts, targeted surveys will be used to document the perceptions and attitudes of managers and restoration practitioners regarding genetic diversity and its role in ecological resilience and restoration.</p>
Seagrass and Oyster Ecosystems
largerWorkCitation
project
eng; USA
oceans
-123.06572
-123.06572
38.31753
38.31753
2015-07-01
2015-09-14
Coastal New England
0
BCO-DMO catalogue of parameters from Microbial taxa (amplicon sequence variant or ASV) statistical analyses for two seagrass genotypes from wasting disease mesocosm experiments at Bodega Marine Laboratory in July-Sept of 2015
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/883546.rdf
Name: Sequence
Units: unitless
Description: <p>Amplicon Sequence Variant (ASV) unique DNA base pair sequence of the V4-V5 region of the 16S rRNA gene; A = adenine; C = cytosine; G = guanine; T = thymine</p>
http://lod.bco-dmo.org/id/dataset-parameter/883547.rdf
Name: Kingdom
Units: unitless
Description: <p>ASV kingdom taxa assigned with the SILVA database (v. 128)</p>
http://lod.bco-dmo.org/id/dataset-parameter/883548.rdf
Name: Phylum
Units: unitless
Description: <p>ASV Phylum taxa assigned with the SILVA database (v. 128)</p>
http://lod.bco-dmo.org/id/dataset-parameter/883549.rdf
Name: Class
Units: unitless
Description: <p>ASV class taxa assigned with the SILVA database (v. 128)</p>
http://lod.bco-dmo.org/id/dataset-parameter/883550.rdf
Name: Order
Units: unitless
Description: <p>ASV order taxa assigned with the SILVA database (v. 128)</p>
http://lod.bco-dmo.org/id/dataset-parameter/883551.rdf
Name: Family
Units: unitless
Description: <p>ASV family taxa assigned with the SILVA database (v. 128)</p>
http://lod.bco-dmo.org/id/dataset-parameter/883552.rdf
Name: Genus
Units: unitless
Description: <p>ASV genus taxa assigned with the SILVA database (v. 128)</p>
http://lod.bco-dmo.org/id/dataset-parameter/883553.rdf
Name: Species
Units: unitless
Description: <p>ASV species taxa assigned with the SILVA database (v. 128)</p>
http://lod.bco-dmo.org/id/dataset-parameter/883554.rdf
Name: baseMean
Units: unitless
Description: <p>Average of the normalized ASV count values; dividing by size factors; taken over all samples</p>
http://lod.bco-dmo.org/id/dataset-parameter/883555.rdf
Name: log2FoldChange_comp1
Units: unitless
Description: <p>Differences in ASV abundance between genotypes that showed different responses of L. zosterae intensity to warming in elevated temperature treatment; positive change indicates greater ASV abundance in genotypes that showed increased L. zosterae intensity under warming; negative change indicates greater ASV abundance in genotypes that showed decreased L. zosterae intensity under warming; reported on a logarithmic scale to base 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/883556.rdf
Name: lfcSE_comp1
Units: unitless
Description: <p>The standard error estimate for the log2 fold change estimate of ASV abundance between genotypes that showed increased L. zosterae intensity under warming and genotypes that showed decreased L. zosterae intensity under warming in elevated temperature treatment</p>
http://lod.bco-dmo.org/id/dataset-parameter/883557.rdf
Name: padj_comp1
Units: unitless
Description: <p>The P-value for difference in ASV abundance between genotypes that showed increased L. zosterae intensity under warming and genotypes that showed decreased L. zosterae intensity under warming in elevated temperature treatment adjusted for multiple testing using a Benjamini-Hochberg correction</p>
http://lod.bco-dmo.org/id/dataset-parameter/883558.rdf
Name: log2FoldChange_comp2
Units: unitless
Description: <p>Differences in ASV abundance between genotypes that showed different responses of L. zosterae intensity to warming in ambient temperature treatment; positive change indicates greater ASV abundance in genotypes that showed increased L. zosterae intensity under warming; negative change indicates greater ASV abundance in genotypes that showed decreased L. zosterae intensity under warming; reported on a logarithmic scale to base 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/883559.rdf
Name: lfcSE_comp2
Units: unitless
Description: <p>The standard error estimate for the log2 fold change estimate of ASV abundance between genotypes that showed increased L. zosterae intensity under warming and genotypes that showed decreased L. zosterae intensity under warming in ambient temperature treatment</p>
http://lod.bco-dmo.org/id/dataset-parameter/883560.rdf
Name: padj_comp2
Units: unitless
Description: <p>The P-value for difference in ASV abundance between genotypes that showed increased L. zosterae intensity under warming and genotypes that showed decreased L. zosterae intensity under warming in ambient temperature treatment adjusted for multiple testing using a Benjamini-Hochberg correction</p>
http://lod.bco-dmo.org/id/dataset-parameter/883561.rdf
Name: log2FoldChange_comp3
Units: unitless
Description: <p>Differences in ASV abundance between temperature treatments in genotypes that showed increased L. zosterae intensity under warming; positive change indicates greater ASV abundance at elevated temperature; negative change indicates greater ASV abundance at ambient temperature; reported on a logarithmic scale to base 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/883562.rdf
Name: lfcSE_comp3
Units: unitless
Description: <p>The standard error estimate for the log2 fold change estimate of ASV abundance between temperature treatments in genotypes that showed increased L. zosterae intensity under warming</p>
http://lod.bco-dmo.org/id/dataset-parameter/883563.rdf
Name: padj_comp3
Units: unitless
Description: <p>The P-value for difference in ASV abundance between temperature treatments in genotypes that showed increased L. zosterae intensity under warming adjusted for multiple testing using a Benjamini-Hochberg correction</p>
http://lod.bco-dmo.org/id/dataset-parameter/883564.rdf
Name: log2FoldChange_comp4
Units: unitless
Description: <p>Differences in ASV abundance between temperature treatments in genotypes that showed decreased L. zosterae intensity under warming; positive change indicates greater ASV abundance at elevated temperature; negative change indicates greater ASV abundance at ambient temperature; reported on a logarithmic scale to base 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/883565.rdf
Name: lfcSE_comp4
Units: unitless
Description: <p>The standard error estimate for the log2 fold change estimate of ASV abundance between temperature treatments in genotypes that showed decreased L. zosterae intensity under warming</p>
http://lod.bco-dmo.org/id/dataset-parameter/883566.rdf
Name: padj_comp4
Units: unitless
Description: <p>The P-value for difference in ASV abundance between temperature treatments in genotypes that showed decreased L. zosterae intensity under warming adjusted for multiple testing using a Benjamini-Hochberg correction</p>
http://lod.bco-dmo.org/id/dataset-parameter/883567.rdf
Name: log2FoldChange
Units: unitless
Description: <p>Differences in ASV abundance between temperature treatments; positive change indicates greater ASV abundance at elevated temperature; negative change indicates greater ASV abundance at ambient temperature; reported on a logarithmic scale to base 2</p>
http://lod.bco-dmo.org/id/dataset-parameter/883568.rdf
Name: lfcSE
Units: unitless
Description: <p>The standard error estimate for the log2 fold change estimate of ASV abundance between temperature treatments</p>
http://lod.bco-dmo.org/id/dataset-parameter/883569.rdf
Name: padj
Units: unitless
Description: <p>The P-value for difference in ASV abundance between temperature adjusted for multiple testing using a Benjamini-Hochberg correction</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
52567
https://darchive.mblwhoilibrary.org/bitstream/1912/29524/1/dataset-883070_mesocosm-microbial-analyses-results__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.883070.1
download
onLine
dataset
<p>We used a substitutive design to test the effects of eelgrass (Zostera marina) genotypic identity (eight genotypes), diversity (monocultures of 1 genotype vs. polycultures of 4 genotypes), and temperature (ambient or + 3.2° C) on the prevalence and intensity of&nbsp;<em>Labyrinthula</em>&nbsp;over eight weeks in an array of flow-through 120-L mesocosms at the Bodega Marine Laboratory in Bodega Bay, CA. In July 2015, we created ten unique polyculture combinations of four genotypes (4 genotypes per experimental pot) randomly drawn from a pool of eight genotypes; all eight genotypes were also grown in monoculture (1 genotype per pot). We filled pots (8.9 x 8.9 cm) with coarsely sieved sediment collected from Bodega Harbor, and planted 4 shoots per pot, matching the lower range of average field densities reported for Bodega Harbor (Ha and Williams 2018) to allow for growth during the experiment. Plants were originally collected in Bodega Harbor, CA in 2012, confirmed to be unique genotypes using 11 DNA microsatellite loci developed specifically for&nbsp;<em>Z. marina</em>&nbsp;(Abbott et al. 2018), and propagated in separate flow through mesocosms at BML.</p>
<p>At the end of the experiment (10 weeks), we collected and preserved the top half of the focal leaf in individual plastic bags sealed with 30 ml of silica (Flower Drying Art Silica Gel; Activa) for subsequent DNA extraction and quantitative PCR to estimate&nbsp;<em>Labyrinthula zosterae</em>&nbsp;cells as a proxy for infection (Bergmann et al. 2011, Bockelmann et al. 2013, Groner et al. 2021).</p>
<p>We collected 2 cm of the focal leaf from directly below the midpoint and stored the tissue at -80˚C for later microbiome analyses to assess whether particular leaf microbial taxa changed in association with&nbsp;<em>Labyrinthula</em>&nbsp;presence on the focal leaf. From these samples, we selected a subset of 84 leaf microbial samples evenly distributed across temperature treatments and across genotypes in monoculture. We did not assess leaf microbiomes in genotypic polycultures. We extracted the surface community of these leaf segments with a modified protocol for the DNeasy Powersoil Kit (Qiagen) and sequenced the V4-V5 region of the 16S rRNA gene on an Illumina MiSeq to analyze differences in the leaf microbiome between treatments and among genotypes. Specifically, to extract the surface community of leaf segments we used a modified protocol for the DNeasy Powersoil Kit (Qiagen) where we first vortexed leaf samples in 500ul of MilliQ water, and then extracted the supernate of each sample. Extraction success was verified via Qubit dsDNA HS assay kit. We PCR-amplified the V4-V5 region of the 16S rRNA gene and then sequenced pooled barcoded fragments on an Illumina MiSeq through the Integrated Microbiome Resource at Dalhousie University (Halifax, NS; Comeau et al. 2017).<br />
<br />
<strong>Life Science&nbsp;Identifiers (LSID) for taxonomic names:</strong><br />
Zostera marina (urn:lsid:marinespecies.org:taxname:145795)<br />
Labyrinthula zosterae (urn:lsid:marinespecies.org:taxname:395093)<br />
Labyrinthula (urn:lsid:marinespecies.org:taxname:119090)</p>
Specified by the Principal Investigator(s)
<div>
<p>To examine the potential contribution of the microbiome to host-parasite-warming interactions in this system, we ran 16S sequence data through a dada2 pipeline to de-noise sequence data, estimate error rates, identify amplicon sequence variants (ASVs) and remove chimeric sequences (Callahan et al. 2016). We assigned 16S rRNA gene taxonomy with the SILVA database (v. 128). After removing mitochondrial and chloroplast sequences we had 1,432,852 sequences in 3,195 ASVs with a median of 23,200 reads per sample and a minimum of 12,149 reads in a sample.</p>
<p>Analyses were done on unrarefied data. We compared the microbiome of two groups: genotypes that showed reduced parasites when warmed vs those that showed increased parasites when warmed. To identify differences among groups, we computed centered log ratio transformation on ASV counts and examined differences in Euclidian distance among treatments and genotype groups (i.e., the Aitchison distance; Aitchison et al. 2000, Gloor et al. 2017). We computed a permutational ANOVA on group-level differences with adonis2 in the R package ‘vegan 2.5’ (Oksanen et al. 2019). To identify which bacteria of the 2407 ASVs that we observed varied between genotypes with reduced vs. increased parasites when warmed, we built negative binomial models based on the geometric means of ASV counts in DESeq2 (Love et al. 2014). We separately assessed which ASVs varied (1) between treatments and (2) between genotype_group + temperature_treatment + genotype_group:treatment using a Wald test. We then applied a Benjamini-Hochberg correction to all reported p-values. All data analyses were performed in R (version 3.6.1,&nbsp;<a href="http://www.r-project.org/">www.R-project.org</a>).<br />
<br />
<span style="font-size:13px">Code for microbial analyses associated with the experiment: www.github.com/mkardish/Labyrinthula. </span>See "Supplemental Files" section of this page for a zip package of commit 50d4b3f.</p>
<span style="font-size:13px">BCO-DMO Processing:</span></div>
<div><span style="font-size:13px">- Imported data from source file "Mesocosm_microbial_analyses_results.csv" into the BCO-DMO data system. Data file imported using missing data identifier "NA".<br />
- Modified parameter (column) names to conform with BCO-DMO naming conventions.<br />
-&nbsp;</span>The repository https://github.com/mkardish/Labyrinthula (commit 50d4b3f) was forked to BCO-DMO Github Organization for preservation purposes. A release of the code was created, and the zip package was attached to this dataset as a supplemental file.</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
flow through tanks
flow through tanks
PI Supplied Instrument Name: flow through tanks Instrument Name: Aquarium Instrument Short Name:Aquarium Instrument Description: Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept
Illumina MiSeq
Illumina MiSeq
PI Supplied Instrument Name: Illumina MiSeq Instrument Name: Automated DNA Sequencer Instrument Short Name:Automated Sequencer Instrument Description: A DNA sequencer is an instrument that determines the order of deoxynucleotides in deoxyribonucleic acid sequences.