ERDDAP > info > bcodmo_dataset_778779

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	[TPC Growth rates: 200 generations] - Daily growth rates for Thermal Performance Curve (TPC) of Chaetoceros simplex in nitrogen-replete evolved populations after about 200 generations of evolution at eight temperatures, 10-35 degrees C. (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)		I   M	background			BCO-DMO	bcodmo_dataset_778779

The Dataset's Variables and Attributes

Row Type	Variable Name	Attribute Name	Data Type	Value
attribute	NC_GLOBAL	access_formats	String	.htmlTable,.csv,.json,.mat,.nc,.tsv
attribute	NC_GLOBAL	acquisition_description	String	Chaetoceros simplex cultures, were obtained from population strain CCMP 200 (National Center for Marine Algae and Microbiota, NCMA). Thermal performance curve (TPC) assays: We assayed the TPCs of our populations twice during the evolution experiment. This involved pre\u2010acclimating sub\u2010cultures from each population to 28 \u00b0C (in\u2010between the 25 \u00b0C control and 31 \u00b0C experimental treatment) in N\u2010replete medium for 20 days (20\u201325 generations) to remove any effects of acclimation to previous temperatures (31 or 25 \u00b0C) and N levels. Subsequently, separate flasks containing N\u2010replete medium were placed at each assay temperature, inoculated with pre\u2010acclimated populations, and allowed to acclimate for six more days. After ~ 200 generations of evolution (165\u2013186 days: 194\u2013232 generations), we characterised the TPCs of two randomly selected N\u2010replete evolved populations that were 34 \u00b0C\u2010tolerant (see the 34 \u00b0C challenge section below) and the control and an ancestral population. Assay temperatures were 10, 20, 25, 29, 31, 32, 34 and 35 \u00b0C, and three replicate populations were grown in 50\u2010mL culture flasks (instead of well plates) (96 growth rate estimates).\u00a0We measured in vivo chlorophyll\u2010a fluorescence (excitation wavelength: 436 nm, emission wavelength: 680 nm) daily using a SpectraMax M5 microplate reader (Molecular Devices, Sunnyvale, CA, USA) to estimate the growth rate. Growth rate calculations: From the daily biomass estimations (in vivo chlorophyll\u2010a fluorescence ), we calculated population growth rates (day\u22121), as the slope of the linear regression of ln(biomass) vs. time (days). --- Also see data for 100 generations:\u00a0[https://www.bco- dmo.org/dataset/778749](\\"https://www.bco-dmo.org/dataset/778749\\") More details in Aranguren-Gassis et al. 2019, Ecology Letters.
attribute	NC_GLOBAL	awards_0_award_nid	String	712786
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1638958
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638958
attribute	NC_GLOBAL	awards_0_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_0_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_0_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_0_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_0_program_manager_nid	String	50446
attribute	NC_GLOBAL	awards_1_award_nid	String	712792
attribute	NC_GLOBAL	awards_1_award_number	String	OCE-1638804
attribute	NC_GLOBAL	awards_1_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638804
attribute	NC_GLOBAL	awards_1_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_1_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_1_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_1_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_1_program_manager_nid	String	50446
attribute	NC_GLOBAL	awards_2_award_nid	String	712795
attribute	NC_GLOBAL	awards_2_award_number	String	OCE-1638834
attribute	NC_GLOBAL	awards_2_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638834
attribute	NC_GLOBAL	awards_2_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_2_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_2_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_2_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_2_program_manager_nid	String	50446
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	TPC Growth rates: 200 generations Daily growth rates for Thermal Performance Curve (TPC) of Chaetoceros simplex after about 200 generations of evolution at seven temperatures, 12-34 degrees C. P.I.'s: M. Aranguren-Gassis (U. Vigo), E. Litchman (MSU), C. Klausmeier (MSU) version date: 2019-10-07
attribute	NC_GLOBAL	Conventions	String	COARDS, CF-1.6, ACDD-1.3
attribute	NC_GLOBAL	creator_email	String	info at bco-dmo.org
attribute	NC_GLOBAL	creator_name	String	BCO-DMO
attribute	NC_GLOBAL	creator_type	String	institution
attribute	NC_GLOBAL	creator_url	String	https://www.bco-dmo.org/
attribute	NC_GLOBAL	data_source	String	extract_data_as_tsv version 2.3 19 Dec 2019
attribute	NC_GLOBAL	date_created	String	2019-10-09T12:57:00Z
attribute	NC_GLOBAL	date_modified	String	2019-10-30T17:29:36Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.778779.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/778779
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	779426
attribute	NC_GLOBAL	instruments_0_description	String	Plate readers (also known as microplate readers) are laboratory instruments designed to detect biological, chemical or physical events of samples in microtiter plates. They are widely used in research, drug discovery, bioassay validation, quality control and manufacturing processes in the pharmaceutical and biotechnological industry and academic organizations. Sample reactions can be assayed in 6-1536 well format microtiter plates. The most common microplate format used in academic research laboratories or clinical diagnostic laboratories is 96-well (8 by 12 matrix) with a typical reaction volume between 100 and 200 uL per well. Higher density microplates (384- or 1536-well microplates) are typically used for screening applications, when throughput (number of samples per day processed) and assay cost per sample become critical parameters, with a typical assay volume between 5 and 50 µL per well. Common detection modes for microplate assays are absorbance, fluorescence intensity, luminescence, time-resolved fluorescence, and fluorescence polarization. From: https://en.wikipedia.org/wiki/Plate_reader, 2014-09-0-23.
attribute	NC_GLOBAL	instruments_0_instrument_name	String	plate reader
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	528693
attribute	NC_GLOBAL	instruments_0_supplied_name	String	SpectraMax M5 microplate reader (Molecular Devices, Sunnyvale, CA, USA)
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, data, dataset, dmo, erddap, evol, Evol_strain, flask, Flask_replicate, growth, Growth_rate, management, oceanography, office, preliminary, rate, replicate, strain, temperature
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/778779/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/778779
attribute	NC_GLOBAL	param_mapping	String	{'778779': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/778779/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Michigan State University
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	MSU
attribute	NC_GLOBAL	people_0_person_name	String	Elena Litchman
attribute	NC_GLOBAL	people_0_person_nid	String	543190
attribute	NC_GLOBAL	people_0_role	String	Principal Investigator
attribute	NC_GLOBAL	people_0_role_type	String	originator
attribute	NC_GLOBAL	people_1_affiliation	String	Michigan State University
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	MSU
attribute	NC_GLOBAL	people_1_person_name	String	Christopher Klausmeier
attribute	NC_GLOBAL	people_1_person_nid	String	543192
attribute	NC_GLOBAL	people_1_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_1_role_type	String	originator
attribute	NC_GLOBAL	people_2_affiliation	String	Michigan State University
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	MSU
attribute	NC_GLOBAL	people_2_person_name	String	Colin T. Kremer
attribute	NC_GLOBAL	people_2_person_nid	String	779889
attribute	NC_GLOBAL	people_2_role	String	Scientist
attribute	NC_GLOBAL	people_2_role_type	String	originator
attribute	NC_GLOBAL	people_3_affiliation	String	Universidad de Vigo
attribute	NC_GLOBAL	people_3_person_name	String	Maria Aranguren-Gassis
attribute	NC_GLOBAL	people_3_person_nid	String	778758
attribute	NC_GLOBAL	people_3_role	String	Contact
attribute	NC_GLOBAL	people_3_role_type	String	related
attribute	NC_GLOBAL	people_4_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_4_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_4_person_name	String	Nancy Copley
attribute	NC_GLOBAL	people_4_person_nid	String	50396
attribute	NC_GLOBAL	people_4_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_4_role_type	String	related
attribute	NC_GLOBAL	project	String	Phytoplankton Community Responses
attribute	NC_GLOBAL	projects_0_acronym	String	Phytoplankton Community Responses
attribute	NC_GLOBAL	projects_0_description	String	NSF Award Abstract: Photosynthetic marine microbes, phytoplankton, contribute half of global primary production, form the base of most aquatic food webs and are major players in global biogeochemical cycles. Understanding their community composition is important because it affects higher trophic levels, the cycling of energy and elements and is sensitive to global environmental change. This project will investigate how phytoplankton communities respond to two major global change stressors in aquatic systems: warming and changes in nutrient availability. The researchers will work in two marine systems with a long history of environmental monitoring, the temperate Narragansett Bay estuary in Rhode Island and a subtropical North Atlantic site near Bermuda. They will use field sampling and laboratory experiments with multiple species and varieties of phytoplankton to assess the diversity in their responses to different temperatures under high and low nutrient concentrations. If the diversity of responses is high within species, then that species may have a better chance to adapt to rising temperatures and persist in the future. Some species may already be able to grow at high temperatures; consequently, they may become more abundant as the ocean warms. The researchers will incorporate this response information in mathematical models to predict how phytoplankton assemblages would reorganize under future climate scenarios. Graduate students and postdoctoral associates will be trained in diverse scientific approaches and techniques such as shipboard sampling, laboratory experiments, genomic analyses and mathematical modeling. The results of the project will be incorporated into K-12 teaching, including an advanced placement environmental science class for underrepresented minorities in Los Angeles, data exercises for rural schools in Michigan and disseminated to the public through an environmental journalism institute based in Rhode Island. Predicting how ecological communities will respond to a changing environment requires knowledge of genetic, phylogenetic and functional diversity within and across species. This project will investigate how the interaction of phylogenetic, genetic and functional diversity in thermal traits within and across a broad range of species determines the responses of marine phytoplankton communities to rising temperature and changing nutrient regimes. High genetic and functional diversity within a species may allow evolutionary adaptation of that species to warming. If the phylogenetic and functional diversity is higher across species, species sorting and ecological community reorganization is likely. Different marine sites may have a different balance of genetic and functional diversity within and across species and, thus, different contribution of evolutionary and ecological responses to changing climate. The research will be conducted at two long-term time series sites in the Atlantic Ocean, the Narragansett Bay Long-Term Plankton Time Series and the Bermuda Atlantic Time Series (BATS) station. The goal is to assess intra- and inter-specific genetic and functional diversity in thermal responses at contrasting nutrient concentrations for a representative range of species in communities at the two sites in different seasons, and use this information to parameterize eco-evolutionary models embedded into biogeochemical ocean models to predict responses of phytoplankton communities to projected rising temperatures under realistic nutrient conditions. Model predictions will be informed by and tested with field data, including the long-term data series available for both sites and in community temperature manipulation experiments. This project will provide novel information on existing intraspecific genetic and functional thermal diversity for many ecologically and biogeochemically important phytoplankton species, estimate generation of new genetic and functional diversity in evolution experiments, and develop and parameterize novel eco-evolutionary models interfaced with ocean biogeochemical models to predict future phytoplankton community structure. The project will also characterize the interaction of two major global change stressors, warming and changing nutrient concentrations, as they affect phytoplankton diversity at functional, genetic, and phylogenetic levels. In addition, the project will develop novel modeling methodology that will be broadly applicable to understanding how other types of complex ecological communities may adapt to a rapidly warming world.
attribute	NC_GLOBAL	projects_0_end_date	String	2020-09
attribute	NC_GLOBAL	projects_0_geolocation	String	Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)
attribute	NC_GLOBAL	projects_0_name	String	Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
attribute	NC_GLOBAL	projects_0_project_nid	String	712787
attribute	NC_GLOBAL	projects_0_start_date	String	2016-10
attribute	NC_GLOBAL	publisher_name	String	Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute	NC_GLOBAL	publisher_type	String	institution
attribute	NC_GLOBAL	sourceUrl	String	(local files)
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Daily growth rates for Thermal Performance Curve (TPC) of Chaetoceros simplex in nitrogen-replete evolved populations after about 200 generations of evolution at eight temperatures, 10-35 degrees C.
attribute	NC_GLOBAL	title	String	[TPC Growth rates: 200 generations] - Daily growth rates for Thermal Performance Curve (TPC) of Chaetoceros simplex in nitrogen-replete evolved populations after about 200 generations of evolution at eight temperatures, 10-35 degrees C. (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Evol_strain		String
attribute	Evol_strain	bcodmo_name	String	sample
attribute	Evol_strain	description	String	evolved population identifier; L1 signifies strains raised in 'regular' medium at 884 micromoles nitrate; 5 signifies medium with reduced nitrate at 5 micromoles. Control refers to the population maintained at 25ºC during the evolution experiment as a temperature control population.  'Ancestral' refers to the initial population cryopreserved at the beginning of the experiment.
attribute	Evol_strain	long_name	String	Evol Strain
attribute	Evol_strain	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P02/current/ACYC/
attribute	Evol_strain	units	String	unitless
variable	Temperature		byte
attribute	Temperature	_FillValue	byte	127
attribute	Temperature	actual_range	byte	10, 35
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	Culture maintenance temperature
attribute	Temperature	long_name	String	Temperature
attribute	Temperature	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/
attribute	Temperature	units	String	Celsius degrees
variable	Flask_replicate		byte
attribute	Flask_replicate	_FillValue	byte	127
attribute	Flask_replicate	actual_range	byte	1, 3
attribute	Flask_replicate	bcodmo_name	String	replicate
attribute	Flask_replicate	description	String	Replicate number
attribute	Flask_replicate	long_name	String	Flask Replicate
attribute	Flask_replicate	units	String	unitless
variable	Growth_rate		float
attribute	Growth_rate	_FillValue	float	NaN
attribute	Growth_rate	actual_range	float	-0.4, 1.2
attribute	Growth_rate	bcodmo_name	String	growth
attribute	Growth_rate	description	String	Growth rate calculated from biomass
attribute	Growth_rate	long_name	String	Growth Rate
attribute	Growth_rate	units	String	day-1

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.