http://lod.bco-dmo.org/id/dataset/778749
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
2019-10-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Daily growth rates for Thermal Performance Curve (TPC) of Chaetoceros simplex after about 100 generations of evolution at seven temperatures, 12-34 degrees C.
2019-10-07
publication
2019-10-07
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-10-28
publication
https://doi.org/10.1575/1912/bco-dmo.778749.1
Elena Litchman
Michigan State University
principalInvestigator
Christopher Klausmeier
Michigan State 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
documentDigital
Cite this dataset as: Aranguren-Gassis, M. (2019) Daily growth rates for Thermal Performance Curve (TPC) of Chaetoceros simplex after about 100 generations of evolution at seven temperatures, 12-34 degrees C. Biological and Chemical Oceanography Data Management Office (BCO-DMO). Dataset version 2019-10-07 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.778749.1 [access date]
growth at 7 temps after 100 generations Dataset Description: <p>Daily growth rates for Thermal Performance Curve (TPC) of Chaetoceros simplex after about 100 generations of evolution at seven temperatures, 12-34 degrees C.</p> Acquisition Description: <p><em>Chaetoceros simplex</em> cultures, were obtained from population strain CCMP 200 (National Center for Marine Algae and Microbiota, NCMA).</p>
<p><strong>Thermal performance curve (TPC) assays:</strong><br />
We assayed the TPCs of our populations twice during the evolution experiment. This involved pre‐acclimating sub‐cultures from each population to 28 °C (in‐between the 25 °C control and 31 °C experimental treatment) in N‐replete medium for 20 days (20–25 generations) to remove any effects of acclimation to previous temperatures (31 or 25 °C) and N levels. Subsequently, separate flasks containing N‐replete medium were placed at each assay temperature, inoculated with pre‐acclimated populations, and allowed to acclimate for six more days.</p>
<p>After ~ 100 generations of evolution (102–114 days, corresponding to 90–134 generations depending on the populations), we assessed the TPCs of all evolved populations and the control population. Assay temperatures were 12, 20, 25, 29, 31, 32 and 34 °C. Four replicate populations were established at each temperature in 12‐well plates&nbsp;by combining four 0.5 mL aliquots from the acclimated flasks with 4.5 mL of N‐replete medium. These plates were then maintained at each temperature. We measured in vivo chlorophyll‐a 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 (252 estimates).</p>
<p><strong>Growth rate calculations:</strong><br />
From the daily biomass estimations (in vivo chlorophyll‐a fluorescence ), we calculated population growth rates (day−1), as the slope of the linear regression of ln(biomass) vs. time (days).<br />
---<br />
Also see data for 200 generations:&nbsp;<a href="https://www.bco-dmo.org/dataset/778779">https://www.bco-dmo.org/dataset/778779</a><br />
More details in Aranguren-Gassis et al. 2019, Ecology Letters.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638958 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638958
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638804 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638804
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638834 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638834
onGoing
Elena Litchman
Michigan State University
269-671-2338
3700 E Gull Lake Dr.
Hickory Corners
MI
49060
USA
litchman@msu.edu
pointOfContact
Christopher Klausmeier
Michigan State University
W. K. Kellogg Biological Station
Hickory Corners
MI
49060
USA
klausme1@msu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Evol_strain
Temperature
Well_replicate
Growth_rate
SpectraMax M5 microplate reader (Molecular Devices, Sunnyvale, CA, USA)
theme
None, User defined
sample identification
water temperature
replicate
growth
featureType
BCO-DMO Standard Parameters
plate reader
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.
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
https://www.bco-dmo.org/project/712787
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
<p><em>NSF Award Abstract:</em><br />
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.</p>
<p>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.</p>
Phytoplankton Community Responses
largerWorkCitation
project
eng; USA
biota
oceans
2016-06-01
2016-10-31
Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)
0
BCO-DMO catalogue of parameters from Daily growth rates for Thermal Performance Curve (TPC) of Chaetoceros simplex after about 100 generations of evolution at seven temperatures, 12-34 degrees C.
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/778852.rdf
Name: Evol_strain
Units: none
Description: 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.
http://lod.bco-dmo.org/id/dataset-parameter/778853.rdf
Name: Temperature
Units: Celsius degrees
Description: Culture maintenance temperature
http://lod.bco-dmo.org/id/dataset-parameter/778854.rdf
Name: Well_replicate
Units: unitless
Description: Replicate number
http://lod.bco-dmo.org/id/dataset-parameter/778855.rdf
Name: Growth_rate
Units: day-1
Description: Growth rate calculated from biomass
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
https://www.bco-dmo.org/dataset/778749/data/download
download
onLine
dataset
<p><em>Chaetoceros simplex</em> cultures, were obtained from population strain CCMP 200 (National Center for Marine Algae and Microbiota, NCMA).</p>
<p><strong>Thermal performance curve (TPC) assays:</strong><br />
We assayed the TPCs of our populations twice during the evolution experiment. This involved pre‐acclimating sub‐cultures from each population to 28 °C (in‐between the 25 °C control and 31 °C experimental treatment) in N‐replete medium for 20 days (20–25 generations) to remove any effects of acclimation to previous temperatures (31 or 25 °C) and N levels. Subsequently, separate flasks containing N‐replete medium were placed at each assay temperature, inoculated with pre‐acclimated populations, and allowed to acclimate for six more days.</p>
<p>After ~ 100 generations of evolution (102–114 days, corresponding to 90–134 generations depending on the populations), we assessed the TPCs of all evolved populations and the control population. Assay temperatures were 12, 20, 25, 29, 31, 32 and 34 °C. Four replicate populations were established at each temperature in 12‐well plates&nbsp;by combining four 0.5 mL aliquots from the acclimated flasks with 4.5 mL of N‐replete medium. These plates were then maintained at each temperature. We measured in vivo chlorophyll‐a 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 (252 estimates).</p>
<p><strong>Growth rate calculations:</strong><br />
From the daily biomass estimations (in vivo chlorophyll‐a fluorescence ), we calculated population growth rates (day−1), as the slope of the linear regression of ln(biomass) vs. time (days).<br />
---<br />
Also see data for 200 generations:&nbsp;<a href="https://www.bco-dmo.org/dataset/778779">https://www.bco-dmo.org/dataset/778779</a><br />
More details in Aranguren-Gassis et al. 2019, Ecology Letters.</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing Notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- reduced precision of Growth_rates from 9 to 1 decimal places.</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
SpectraMax M5 microplate reader (Molecular Devices, Sunnyvale, CA, USA)
SpectraMax M5 microplate reader (Molecular Devices, Sunnyvale, CA, USA)
PI Supplied Instrument Name: SpectraMax M5 microplate reader (Molecular Devices, Sunnyvale, CA, USA) Instrument Name: plate reader Instrument Short Name: Instrument Description: 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: http://en.wikipedia.org/wiki/Plate_reader, 2014-09-0-23.