Accessing BCO-DMO data
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| Dataset Title: | [Mesocosm Growth Data] - Size of Bugula neritina colonies with and without symbiont grown at different temperatures in laboratory mesocosms at Georgia Tech (Biogeography of a marine defensive microbial symbiont: relative importance of host defense vs. abiotic factors) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_719459) |
| Information: | Summary
| License
| ISO 19115
| Metadata
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Attributes {
s {
temperature {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 16, 22;
String bcodmo_name "temperature";
String description "Temperature in microcosm";
String long_name "Temperature";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius";
}
colony_num {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 29;
String bcodmo_name "sample";
String description "Specific colony identifier";
String long_name "Colony Num";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
String units "unitless";
}
genotype {
String bcodmo_name "sample_descrip";
String description "Host genotype/symbiont presence: S+ means Type S host bryozoan (S), with the symbiont (+, as opposed to -); N+ is Type N host (N), with the symbiont (+).";
String long_name "Genotype";
String units "unitless";
}
cont_avg {
Float32 _FillValue NaN;
Float32 actual_range 3.2, 8.6;
String bcodmo_name "count";
String description "Average size in bifurcations in control colonies";
String long_name "Cont Avg";
String units "unitless";
}
cont_sd {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 3.14;
String bcodmo_name "count";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "Standard deviation of average size in bifurcations in control colonies";
String long_name "Cont Sd";
String units "unitless";
}
cont_N {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 0, 7;
String bcodmo_name "count";
String description "Number of control colonies in which size was measured";
String long_name "Cont N";
String units "unitless";
}
treat_avg {
Float32 _FillValue NaN;
Float32 actual_range 2.0, 10.0;
String bcodmo_name "count";
String description "Average size in bifurcations in antibiotic treated colonies";
String long_name "Treat Avg";
String units "unitless";
}
treat_sd {
Float32 _FillValue NaN;
Float32 actual_range 0.47, 2.0;
String bcodmo_name "count";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String description "Standard deviation of average size in bifurcations in treated colonies";
String long_name "Treat Sd";
String units "unitless";
}
treat_N {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 0, 5;
String bcodmo_name "count";
String description "Number of treated colonies in which size was measured";
String long_name "Treat N";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
String acquisition_description
"Bugula neritina colonies were collected by hand off the sides of floating
docks around Morehead City, NC (latitude: 34.7, longitude: -76.8). Larvae from
individual colonies were collected and settled into 10 mL of filtered seawater
with (treated) or without (control) 100 ug/mL of gentamicin.\\u00a0Larvae were
allowed to settle overnight. The control and treated seawater was changed the
next morning for the next 3 days. The plates were transported to Georgia Tech
where they were placed in 2.5 gallon tanks with artificial seawater maintained
in environmental chambers at 16 degrees C and 22 degrees C. They were fed ad
libitum an artificial diet of the phytoplankton Rhodomonas lens for
approximately one month.\\u00a0After the 1-month period, the size of the
colonies was measured by counting the number of bifurcations in each
colony.\\u00a0A Leica stereomicroscope was used while counting the number of
colony bifurcations. Samples of larvae, juvenile, and the grown colonies were
placed in RNAlater for symbiont quantification analysis by quantitative PCR
(currently in progress).";
String awards_0_award_nid "645347";
String awards_0_award_number "OCE-1608709";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1608709";
String awards_0_funder_name "NSF Division of Ocean Sciences";
String awards_0_funding_acronym "NSF OCE";
String awards_0_funding_source_nid "355";
String awards_0_program_manager "Michael E. Sieracki";
String awards_0_program_manager_nid "50446";
String cdm_data_type "Other";
String comment
"Mesocosm Growth Data
PI: Nicole Lopanik (Georgia Institute of Technology)
Co-PI: Grace Lim-Fong (Randolph-Macon College)
Version: 16 November 2017";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "info@bco-dmo.org";
String creator_name "BCO-DMO";
String creator_type "institution";
String creator_url "https://www.bco-dmo.org/";
String data_source "extract_data_as_tsv version 2.3 19 Dec 2019";
String date_created "2017-11-16T19:34:09Z";
String date_modified "2019-08-01T19:47:24Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.719459.1";
String history
"2024-11-23T17:24:48Z (local files)
2024-11-23T17:24:48Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_719459.html";
String infoUrl "https://www.bco-dmo.org/dataset/719459";
String institution "BCO-DMO";
String instruments_0_dataset_instrument_nid "719468";
String instruments_0_description "Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a \"light microscope\".";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB05/";
String instruments_0_instrument_name "Microscope-Optical";
String instruments_0_instrument_nid "708";
String instruments_0_supplied_name "Leica stereomicroscope";
String instruments_1_acronym "Aquarium";
String instruments_1_dataset_instrument_nid "719467";
String instruments_1_description "Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept";
String instruments_1_instrument_name "Aquarium";
String instruments_1_instrument_nid "711";
String instruments_1_supplied_name "tank";
String keywords "average, bco, bco-dmo, biological, chemical, colony, colony_num, cont, cont_avg, cont_N, cont_sd, data, dataset, dmo, erddap, genotype, management, num, oceanography, office, preliminary, temperature, treat, treat_avg, treat_N, treat_sd";
String license "https://www.bco-dmo.org/dataset/719459/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/719459";
String param_mapping "{'719459': {}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/719459/parameters";
String people_0_affiliation "Georgia Institute of Technology";
String people_0_affiliation_acronym "Georgia Tech";
String people_0_person_name "Nicole Lopanik";
String people_0_person_nid "645350";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Randolph-Macon College";
String people_1_person_name "Grace Lim-Fong";
String people_1_person_nid "645352";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "Woods Hole Oceanographic Institution";
String people_2_affiliation_acronym "WHOI BCO-DMO";
String people_2_person_name "Shannon Rauch";
String people_2_person_nid "51498";
String people_2_role "BCO-DMO Data Manager";
String people_2_role_type "related";
String project "BiogeogDefensiveSymb";
String projects_0_acronym "BiogeogDefensiveSymb";
String projects_0_description
"Recent research has shown that microorganisms can be very important to their eukaryotic hosts, by providing nutrition or contributing to host defense against enemies, such as pathogens or predators. In many cases, however, hosting a bacterial symbiont imposes a physiological cost on the host organism, resulting in reduced growth or reproduction in the presence of the symbiont. Further, these costs may be more pronounced in some habitats than others, causing natural selection to act in eliminating symbiont-containing hosts from the population. In this project, the investigators are studying the relationship between the marine bryozoan invertebrate, Bugula neritina, and its uncultured symbiont. The symbiont produces natural products with activity against cancer, Alzheimer's disease, and HIV. Interestingly, these compounds also are distasteful and protect larvae from predators, indicating that this symbiotic relationship is defensive in nature. Along the East Coast of the US, the investigators have found a much higher proportion of individuals that have the defensive symbiont at lower latitudes, while the symbiont is absent in individuals collected at higher latitudes. This pattern is consistent with the theory that higher predation pressure exists at lower latitudes. Other environmental factors, such as temperature, can also vary over a wide geographical area, and may also play a role in influencing the relationship. In this project, the investigators will evaluate the ecological and environmental parameters that influence the distribution of a defensive symbiont, including predation pressure and temperature. Defensive symbionts represent another level of ecological complexity, and likely play an important role in structuring marine communities. This study will provide insight into how environmental factors can influence host-symbiont interactions and drive partner co-evolution. Furthermore, the bioactive products have pharmaceutical potential, and understanding how environmental factors influence the relationship between B. neritina and its symbiont may improve bioprospecting for novel compounds that could be developed into drugs.
In this research, the investigators will determine the ecological and environmental parameters that influence the distribution of a defensive symbiont in the marine bryozoan, Bugula neritina. The goal of this research is to determine the mechanism that results in the defensive endosymbiont being restricted to hosts that inhabit lower latitudes. This pattern of symbiont distribution could be the result of differing levels of costs and benefits at different latitudes: where predation pressure is low, the costs of hosting the symbiont outweigh the benefits, and aposymbiotic individuals outcompete their symbiotic conspecifics. In areas of higher predation, the defensive benefit outweighs the cost, and symbiotic individuals have higher survival rates than their undefended, aposymbiotic conspecifics. An alternative, but not mutually exclusive hypothesis, is that symbiont growth is inhibited at higher latitudes, where it is not as beneficial, and growth is induced in areas of higher predation. Specific goals are to determine if (1) a biogeographical cline in predation pressure corresponds to a gradient of symbiont frequency associating with the host, (2) symbiotic hosts have a higher fitness at low latitudes, and aposymbiotic hosts have a higher fitness at high latitudes, and (3) symbiont growth is promoted at low latitudes and inhibited at high latitudes. A combination of field and laboratory-based experiments will be conducted using ecological and molecular biology techniques. Bioactive compounds produced by symbionts of marine invertebrates can mediate multi-trophic interactions and potentially influence benthic community structure. There has been almost no research, however, on how ecological and environmental parameters influence the distribution of marine defensive endosymbionts.
Related Reference:
Linneman J, Paulus D, Lim-Fong G, Lopanik NB (2014) Latitudinal Variation of a Defensive Symbiosis in the Bugula neritina (Bryozoa) Sibling Species Complex. PLoS ONE 9(10): e108783. doi:10.1371/journal.pone.0108783";
String projects_0_end_date "2018-04";
String projects_0_geolocation "Western Atlantic coast, ranging from latitudes 38.61283 to 29.753272";
String projects_0_name "Biogeography of a marine defensive microbial symbiont: relative importance of host defense vs. abiotic factors";
String projects_0_project_nid "645348";
String projects_0_start_date "2015-09";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "Size of Bugula neritina colonies with and without symbiont grown at different temperatures in laboratory mesocosms at Georgia Tech.";
String title "[Mesocosm Growth Data] - Size of Bugula neritina colonies with and without symbiont grown at different temperatures in laboratory mesocosms at Georgia Tech (Biogeography of a marine defensive microbial symbiont: relative importance of host defense vs. abiotic factors)";
String version "1";
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names,
followed by a collection of
constraints (e.g., variable<value),
each preceded by '&' (which is interpreted as "AND").
For details, see the tabledap Documentation.