http://lod.bco-dmo.org/id/dataset/768138
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
2019-05-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Specimen log with OTU identifiers collected from Palau marine lakes
2021-12-30
publication
2021-12-30
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-07-08
publication
https://doi.org/10.1575/1912/bco-dmo.768138.1
Michael N. Dawson
University of California-Merced
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: Dawson, M. N. (2021) Specimen log with OTU identifiers collected from Palau marine lakes. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2021-12-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.768138.2 [access date]
Palau lakes: invertebrate barcodes Dataset Description: <p>List of all barcoded specimens of collected invertebrates with OTU identifiers&nbsp;collected from Palau marine lakes. FASTA files for major invertebrate groups are included in supplemental files. These data&nbsp;are presented in&nbsp;Rapacciuolo, et al (2019).</p>
<p>* NOTE:&nbsp;All columns with taxonomic data have been removed per request of PI. Please contact them before using these data to make sure you are not duplicating efforts.&nbsp;</p> Methods and Sampling: <p>After completion of fieldwork, a subset of specimens from the transect surveys were chosen for DNA barcoding to confirm or amend field identifications. These specimens included (i) at least one specimen from each field-ID (except obvious species such as <em>Mastigias papua</em>) and (ii) several specimens representing the range of phenotypic variation of field-IDs that showed considerable variation or were challenging to distinguish (e.g. small sponge specimens of similar color and texture). Additionally, specimens from a previously collected voucher collection (indicated with “V_” in prefix of sequence ID) were barcoded and identified by taxonomic experts. Specimens from population genetic collections (indicated with “PG_” in prefix of sequence ID) were also barcoded. DNA was purified using a modified phenol-chloroform CTAB extraction protocol (1) or AcroPrep PALL 5053 glass fiber plates procedure (2, 3). We amplified the Cytochrome c Oxidase subunit I (COI) barcode locus using 0.5 µL of purified DNA in a 25-µL polymerase chain reaction (PCR) with 0.05 µL AMPLITAQ (Applied Biosystems, Foster City, California, USA), 2.5 µL 10x buffer (Applied Biosystems), 0.63 µL of 20 µM primers (Operon Biotechnologies Inc., Huntsville, Alabama, USA), 2.5 µL of 25 mM MgCl2 (Applied Biosystems), 0.5 µL of 10 mg/mL bovine serum albumin (BSA) and 0.5 µL of 10 mM dNTPs. Several primer sets were used (Table 1). Amplicons were sequenced at the University of California Berkeley DNA Sequencing Facility (Berkeley, California, USA). Base calls in electropherograms were visually checked and manually corrected for errors and forward and reverse reads were assembled in Sequencher 4.8 (GeneCodes, Ann Arbor, Michigan, USA). We used Basic Local Alignment Search Tool (BLASTn) to determine the higher level taxonomic assignment for each sequence (which we used to process batches of similar sequences) — ascidians, bivalves, bryozoans, cnidarians, crustaceans, echinoderms, gastropods, polychaetes, and poriferans. Sequences organized by these broad groups were then aligned using Muscle v3.8.425 (4). For each group, alignments were manually adjusted and trimmed to the same length in Mesquite v3.5 (5) to balance total individuals retained and sequence length. The resulting alignment lengths were: ascidians 395bp, bivalves 567bp, bryozoans 622bp, cnidarians 612bp, crustaceans 299bp, echinoderms 357bp, gastropods 562bp, polychaetes 509bp, and poriferans 688bp. Sequences were translated to amino acid sequence to confirm an open reading frame. Short sequences were excluded from further analysis, but percent pairwise identity with the closest match was recorded for each based on the shortest sequence. Pairwise sequence distance was calculated using dist.dna with Kimura’s 2-parameter distance model of evolution (6) in the ape package v4.1 (7) in R (8). OTUs, or clusters of sequences, similar at 97% were identified using tclust in the spider package v1.5.0 (9) in R (8) for each taxonomic group, except for poriferans, which were clustered at 99% sequence similarity given their slow sequence evolution (10).</p>
<p>1. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Dawson MN, Raskoff KA, Jacobs DK (1998) Field preservation of marine invertebrate tissue for DNA analyses. Mol Mar Biol Biotechnol 7(2):145–52.</p>
<p>2. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ivanova N V., Dewaard JR, Hebert PDN (2006) An inexpensive, automation-friendly protocol for recovering high-quality DNA. Mol Ecol Notes 6(4):998–1002.</p>
<p>3. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Schiebelhut LM, Abboud SS, Gómez Daglio LE, Swift HF, Dawson MN (2017) A comparison of DNA extraction methods for high-throughput DNA analyses. Mol Ecol Resour 17(4):721–729.</p>
<p>4. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Edgar RC (2004) MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32(5):1792–1797.</p>
<p>5. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maddison WP, Maddison DR (2018) Mesquite: a modular system for evolutionary analysis.</p>
<p>6. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Kimura M (1980) A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16(2):111–120.</p>
<p>7. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Paradis E, Claude J, Strimmer K (2004) APE: Analyses of phylogenetics and evolution in R language. Bioinformatics 20(2):289–290.</p>
<p>8. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; R Core Team (2018) R: A language and environment for statistical computing (R Foundation for Statistical Computing, Vienna, Austria).</p>
<p>9. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; BROWN SDJ, et al. (2012) Spider: An R package for the analysis of species identity and evolution, with particular reference to DNA barcoding. Mol Ecol Resour 12(3):562–565.</p>
<p>10. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Huang D, Meier R, Todd PA, Chou LM (2008) Slow mitochondrial COI sequence evolution at the base of the metazoan tree and its implications for DNA barcoding. J Mol Evol 66(2):167–174.</p>
<p>See Table 1.&nbsp;Primers and thermocycle conditions used for PCR of macroinvertebrates by taxonomic group in Supplemental Documents, below.</p>
<p>For the sequence alignment files (.fas) mentioned in the methods above, see the Supplemental Files section below.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1241255 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1241255
completed
Michael N. Dawson
University of California-Merced
209-228-4056
School of Natural Sciences 5200 North Lake Road
Merced
CA
95343
United States
mdawson@ucmerced.edu
pointOfContact
asNeeded
Dataset Version: 2
Unknown
OTU_id
lake_code
theme
None, User defined
sample identification
site
featureType
BCO-DMO Standard Parameters
Automated DNA Sequencer
Thermal Cycler
instrument
BCO-DMO Standard Instruments
Palau_lakes
service
Deployment Activity
NW Pacific
place
Locations
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.
Dimensions of Biodiversity
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503446
Dimensions of Biodiversity
(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program. [MORE from NSF]
The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.
Dimensions of Biodiversity
largerWorkCitation
program
Do Parallel Patterns Arise from Parallel Processes?
http://marinelakes.ucmerced.edu/
Do Parallel Patterns Arise from Parallel Processes?
<p>This project will survey the taxonomic, genetic, and functional diversity of the organisms found in marine lakes, and investigate the processes that cause gains and losses in this biodiversity. Marine lakes formed as melting ice sheets raised sea level after the last glacial maximum and flooded hundreds of inland valleys around the world. Inoculated with marine life from the surrounding sea and then isolated to varying degrees for the next 6,000 to 15,000 years, these marine lakes provide multiple, independent examples of how environments and interactions between species can drive extinction and speciation. Researchers will survey the microbes, algae, invertebrates, and fishes present in 40 marine lakes in Palau and Papua, and study how diversity has changed over time by retrieving the remains of organisms preserved in sediments on the lake bottoms. The project will test whether the number of species, the diversity of functional roles played by organisms, and the genetic diversity within species increase and decrease in parallel; whether certain species can greatly curtail diversity by changing the environment; whether the size of a lake determines its biodiversity; and whether the processes that control diversity in marine organisms are similar to those that operate on land.</p>
<p>Because biodiversity underlies the ecosystem services on which society depends, society has a great interest in understanding the processes that generate and retain biodiversity in nature. This project will also help conserve areas of economic importance. Marine lakes in the study region are important for tourism, and researchers will work closely with governmental and non-governmental conservation and education groups and with diving and tourism businesses to raise awareness of the value and threats to marine lakes in Indonesia and Palau.</p>
PaPaPro
largerWorkCitation
project
eng; USA
biota
oceans
NW Pacific
134.3447
134.5089
7.1506
7.3237
2011-06-04
2015-07-02
Western Pacific; Palau; Indonesia (West Papua)
0
BCO-DMO catalogue of parameters from Specimen log with OTU identifiers collected from Palau marine lakes
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/768166.rdf
Name: OTU_id
Units: unitless
Description: <p>Operational Taxonomic Unit identifier. The first four-letters describe the taxon:<br />
ASCI: Ascidiacea<br />
BIVA: MolluscaBivalvia<br />
BRYO: Bryozoa<br />
CNID: Cnidaria<br />
CRUS: Crustacea<br />
ECHI: Echinodermata<br />
GAST: MolluscaGastropoda<br />
POLY: Polychaeta<br />
PORI: Porifera</p>
http://lod.bco-dmo.org/id/dataset-parameter/768168.rdf
Name: lake_code
Units: unitless
Description: <p>3-letter code for sampled lake name</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
26123
https://darchive.mblwhoilibrary.org/bitstream/1912/27891/1/dataset-768138_palau-lakes-invertebrate-barcodes__v2.tsv
download
176474
https://darchive.mblwhoilibrary.org/bitstream/1912/24323/1/dataset-768138_palau-lakes-invertebrate-barcodes__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.768138.1
download
onLine
dataset
<p>After completion of fieldwork, a subset of specimens from the transect surveys were chosen for DNA barcoding to confirm or amend field identifications. These specimens included (i) at least one specimen from each field-ID (except obvious species such as <em>Mastigias papua</em>) and (ii) several specimens representing the range of phenotypic variation of field-IDs that showed considerable variation or were challenging to distinguish (e.g. small sponge specimens of similar color and texture). Additionally, specimens from a previously collected voucher collection (indicated with “V_” in prefix of sequence ID) were barcoded and identified by taxonomic experts. Specimens from population genetic collections (indicated with “PG_” in prefix of sequence ID) were also barcoded. DNA was purified using a modified phenol-chloroform CTAB extraction protocol (1) or AcroPrep PALL 5053 glass fiber plates procedure (2, 3). We amplified the Cytochrome c Oxidase subunit I (COI) barcode locus using 0.5 µL of purified DNA in a 25-µL polymerase chain reaction (PCR) with 0.05 µL AMPLITAQ (Applied Biosystems, Foster City, California, USA), 2.5 µL 10x buffer (Applied Biosystems), 0.63 µL of 20 µM primers (Operon Biotechnologies Inc., Huntsville, Alabama, USA), 2.5 µL of 25 mM MgCl2 (Applied Biosystems), 0.5 µL of 10 mg/mL bovine serum albumin (BSA) and 0.5 µL of 10 mM dNTPs. Several primer sets were used (Table 1). Amplicons were sequenced at the University of California Berkeley DNA Sequencing Facility (Berkeley, California, USA). Base calls in electropherograms were visually checked and manually corrected for errors and forward and reverse reads were assembled in Sequencher 4.8 (GeneCodes, Ann Arbor, Michigan, USA). We used Basic Local Alignment Search Tool (BLASTn) to determine the higher level taxonomic assignment for each sequence (which we used to process batches of similar sequences) — ascidians, bivalves, bryozoans, cnidarians, crustaceans, echinoderms, gastropods, polychaetes, and poriferans. Sequences organized by these broad groups were then aligned using Muscle v3.8.425 (4). For each group, alignments were manually adjusted and trimmed to the same length in Mesquite v3.5 (5) to balance total individuals retained and sequence length. The resulting alignment lengths were: ascidians 395bp, bivalves 567bp, bryozoans 622bp, cnidarians 612bp, crustaceans 299bp, echinoderms 357bp, gastropods 562bp, polychaetes 509bp, and poriferans 688bp. Sequences were translated to amino acid sequence to confirm an open reading frame. Short sequences were excluded from further analysis, but percent pairwise identity with the closest match was recorded for each based on the shortest sequence. Pairwise sequence distance was calculated using dist.dna with Kimura’s 2-parameter distance model of evolution (6) in the ape package v4.1 (7) in R (8). OTUs, or clusters of sequences, similar at 97% were identified using tclust in the spider package v1.5.0 (9) in R (8) for each taxonomic group, except for poriferans, which were clustered at 99% sequence similarity given their slow sequence evolution (10).</p>
<p>1. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Dawson MN, Raskoff KA, Jacobs DK (1998) Field preservation of marine invertebrate tissue for DNA analyses. Mol Mar Biol Biotechnol 7(2):145–52.</p>
<p>2. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ivanova N V., Dewaard JR, Hebert PDN (2006) An inexpensive, automation-friendly protocol for recovering high-quality DNA. Mol Ecol Notes 6(4):998–1002.</p>
<p>3. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Schiebelhut LM, Abboud SS, Gómez Daglio LE, Swift HF, Dawson MN (2017) A comparison of DNA extraction methods for high-throughput DNA analyses. Mol Ecol Resour 17(4):721–729.</p>
<p>4. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Edgar RC (2004) MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 32(5):1792–1797.</p>
<p>5. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maddison WP, Maddison DR (2018) Mesquite: a modular system for evolutionary analysis.</p>
<p>6. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Kimura M (1980) A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16(2):111–120.</p>
<p>7. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Paradis E, Claude J, Strimmer K (2004) APE: Analyses of phylogenetics and evolution in R language. Bioinformatics 20(2):289–290.</p>
<p>8. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; R Core Team (2018) R: A language and environment for statistical computing (R Foundation for Statistical Computing, Vienna, Austria).</p>
<p>9. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; BROWN SDJ, et al. (2012) Spider: An R package for the analysis of species identity and evolution, with particular reference to DNA barcoding. Mol Ecol Resour 12(3):562–565.</p>
<p>10. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Huang D, Meier R, Todd PA, Chou LM (2008) Slow mitochondrial COI sequence evolution at the base of the metazoan tree and its implications for DNA barcoding. J Mol Evol 66(2):167–174.</p>
<p>See Table 1.&nbsp;Primers and thermocycle conditions used for PCR of macroinvertebrates by taxonomic group in Supplemental Documents, below.</p>
<p>For the sequence alignment files (.fas) mentioned in the methods above, see the Supplemental Files section below.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing:</strong><br />
- added conventional header with dataset name, PI name, version date;<br />
- replaced blanks cells with nd;<br />
- removed taxonomy columns as requested by PI.</p>
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
PI Supplied Instrument Name: 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.
PI Supplied Instrument Name: Instrument Name: Thermal Cycler Instrument Short Name:Thermal Cycler Instrument Description: A thermal cycler or "thermocycler" is a general term for a type of laboratory apparatus, commonly used for performing polymerase chain reaction (PCR), that is capable of repeatedly altering and maintaining specific temperatures for defined periods of time. The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. They can also be used to facilitate other temperature-sensitive reactions, including restriction enzyme digestion or rapid diagnostics.
(adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html)
Cruise: Palau_lakes
Palau_lakes
Small boats - CRRF
vessel
Palau_lakes
Michael N. Dawson
University of California-Merced
Small boats - CRRF
vessel