http://lod.bco-dmo.org/id/dataset/874587 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 2022-05-21 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Physiological data from Breviolum antillogorgia genotypes grown in laboratory growth chambers in Los Angeles, CA in 2021. 2022-05-24 publication 2022-05-24 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2022-05-31 publication https://doi.org/10.26008/1912/bco-dmo.874587.1 Casey terHorst California State University Northridge principalInvestigator Mary Alice Coffroth State University of New York at Buffalo 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: terHorst, C., Coffroth, M. A. (2022) Physiological data from Breviolum antillogorgia genotypes grown in laboratory growth chambers in Los Angeles, CA in 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-05-24 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.874587.1 [access date] Breviolum Antillogorgia physiological data Dataset Description: Methods and Sampling: &lt;p&gt;We collected symbionts from octocoral colonies in the genus Antillogorgia from Elbow Reef and Pickles Reef in the Florida Keys in September 2016 (11-18 m depth). Details of collection and genotyping are available in Pelosi et al. (2021). Briefly, we recovered five unique genotypes of &lt;em&gt;Breviolum antillogorgium&lt;/em&gt; from the heterogenous mixture of strains within the colonies. Three of these genotypes (G1, G2, G3) were isolated and reared at 26 C for five years (~650-700 generations) prior to the start of the experiment; the other two genotypes (G4, G5) were isolated and subsequently reared at 30 C for the same period of time. In March 2021, we initiated a laboratory experiment to measure population dynamics and physiology of each genotype at three different temperatures. Every three days, we removed 50 micrometers from each culture and performed four replicate hemacytometer counts and used the mean as an estimate of cell density. On Day 27 of the experiment, we used microrespirometry plates to quantify changes in oxygen in the dark (respiration) and in the light (new photosynthesis).&lt;/p&gt; &lt;p&gt;We used the stock cultures of each genotype to initiate 15 new replicate 50 mL cultures at an initial density of 10,000 cells/mL. Five of these cultures of each genotype were maintained in a growth chamber set at 26 C (actual mean temperature +/- s.d. determined by HOBO Data Logger: 25.5 C +/- 0.51). Another five cultures of each genotype were grown in identical growth chambers set at 30 C (30.1 +/- 0.28) and 32 C (31.6 +/- 0.23). Lights were set on a 12:12 day:night cycle, with average day illumination of 4244 Lux (approximately 59 µmole m-2 s-1 based on a conversion of 1 lux = 0.014 µmole m-2 s-1). On Day 27 of the experiment, we removed two 2 mL from each culture grown at 26 C and used these samples to estimate rates of photosynthesis and respiration at each temperature. Replicate samples were placed in randomly assigned wells in a microrespirometry plate that quantified changes in oxygen concentrations over time (Loligo Systems, Viborg, Denmark) in the 26 C growth chamber. We also placed sterile f/2 samples in two wells in each plate to account for any background changes in oxygen concentration. Samples were dark-adapted for 10 min before measuring oxygen levels in each well every 15 sec for 10 min. Following this, we turned the lights on in the growth chambers, allowed samples two minutes to acclimate, and then again measured oxygen levels every 15 sec for 10 min. The microrespirometry plates were then moved to the 30 C growth chamber, and later the 32 C growth chamber, and allowed to acclimate for 15 minutes in each growth chamber before measurements were taken. We estimated respiration as the slope of a linear fit to declining oxygen levels over time in the dark, subtracting any background changes in oxygen. Similarly, we estimated net photosynthesis as the slope of a linear fit to increasing oxygen levels, accounting for background changes in oxygen in the light. We estimated gross productivity by adding the absolute value of respiration in each culture to net photosynthesis. We standardized respiration, net photosynthesis, and gross photosynthesis by the number of cells in each well, determined by replicate hemacytometer counts, as above.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Known Issues:&lt;/strong&gt;&lt;br /&gt; Genetic analyses revealed that genotype G3 was contaminated with cells of Genotype G1. The results from each genotype are presented here, but the results from G3 should be interpreted with caution.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1559105 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1559105 completed Casey terHorst California State University Northridge 818-677-3352 Department of Biology 18111 Nordhoff Street Northridge CA 91330-8303 USA casey.terhorst@csun.edu pointOfContact Mary Alice Coffroth State University of New York at Buffalo 716-645-4871 Department of Geology 126 Cooke Hall Buffalo NY 14260 USA Coffroth@buffalo.edu pointOfContact asNeeded Dataset Version: 1 Unknown Flask Genotype Temp OriginTemp GrowthRate CarryingCapacity TotalResp TotalNetPhoto TotalGrossPhoto CellspermL RespperCell NetPhotoperCell GrossPhotoperCell Loligo microrespirometry system theme None, User defined replicate sample identification temperature of sample or a generic measurement (not in-situ water temp) growth No BCO-DMO term photosynthetic rate density respiration rate featureType BCO-DMO Standard Parameters Respirometer 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. RUI: Collaborative Research: Genetic variation as a driver of host and symbiont response to increased temperature on coral reefs https://osprey.bco-dmo.org/project/632538 RUI: Collaborative Research: Genetic variation as a driver of host and symbiont response to increased temperature on coral reefs <p><em>Description from NSF award abstract:</em><br /> On coral reefs, mutualisms with single celled algae (Symbiodinium) and reef species literally and figuratively form the foundation of reef ecosystems. Coral reefs are among the most threatened ecosystems under a changing climate and are rapidly declining due to increasing levels of environmental stress, namely increased temperatures. Climate change is resulting in even warmer ocean temperatures that threaten associations between Symbiodinium and their hosts. In this project the investigators examine the genetic diversity of Symbiodinium and the potential for this important species to evolve in response to temperature. The project will also address whether the ecological and evolutionary dynamics of the Symbiodinium population affect the performance of their host. If so, this suggests that the evolution of microscopic organisms with short generation times could confer adaptation to longer-lived host species on ecologically and economically vital coral reefs. Given that diversity is already being lost on many reefs, considering how evolutionary changes in Symbiodinium will affect reef species is crucial for predicting the responses of reefs to future climate change. This project provides training for two graduate students and several undergraduates at a Hispanic-serving institution. This work includes outreach to the students and the general public through the Aquarium of Niagara, local K-12 schools, and web-based education modules.</p> <p>The effects of evolution on contemporary ecological processes are at the forefront of research in evolutionary ecology. This project will answer the call for experiments elucidating the effects of genetic variation in Symbiodinium performance and the effect on the response of the holobiont (host and symbiont) to increased temperature. These experiments examine the effects of temperature through both ecological and evolutionary mechanisms and will determine the relative importance of adaptation and acclimatization in replicated experimental populations. The investigators will examine how genetic variation within a species (Symbiodinium antillogorgium) affects symbiont performance in culture and in the host and how this affects the response of the holobiont to increased temperature. Further, the project examines whether holobiont response to increased temperature associated with climate change depends on particular GxG host-symbiont combinations. Moreover, the investigators will examine the effects of symbiont history on mutualist hosts, which have been largely ignored in eco-evolutionary studies. These experiments provide a first step in predicting whether invertebrate hosts on coral reefs will respond to global change via adaptation of their symbionts.</p> Host Symbiont Temp Response largerWorkCitation project eng; USA oceans 2021-03-01 2021-03-31 Florida Keys, Caribbean 0 BCO-DMO catalogue of parameters from Physiological data from Breviolum antillogorgia genotypes grown in laboratory growth chambers in Los Angeles, CA in 2021. 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/875083.rdf Name: Flask Units: unitless Description: <p>Replicate number</p> http://lod.bco-dmo.org/id/dataset-parameter/875084.rdf Name: Genotype Units: unitless Description: <p>One of five genotypes</p> http://lod.bco-dmo.org/id/dataset-parameter/875085.rdf Name: Temp Units: degrees celsius Description: <p>Experimental growth temperature</p> http://lod.bco-dmo.org/id/dataset-parameter/875086.rdf Name: OriginTemp Units: degrees celsius Description: <p>Temperature at which algae were isolated</p> http://lod.bco-dmo.org/id/dataset-parameter/875087.rdf Name: GrowthRate Units: cells per cell per day Description: <p>Per-capita population growth rate</p> http://lod.bco-dmo.org/id/dataset-parameter/875088.rdf Name: CarryingCapacity Units: cells Description: <p>Estimated carrying capacity</p> http://lod.bco-dmo.org/id/dataset-parameter/875089.rdf Name: TotalResp Units: micromoles of oxygen per minute (umolO2/min) Description: <p>Decrease in oxygen over time</p> http://lod.bco-dmo.org/id/dataset-parameter/875090.rdf Name: TotalNetPhoto Units: micromoles of oxygen per minute (umolO2/min) Description: <p>Increase in oxygen over time</p> http://lod.bco-dmo.org/id/dataset-parameter/875091.rdf Name: TotalGrossPhoto Units: micromoles of oxygen per minute (umolO2/min) Description: <p>Gross photosynthesis</p> http://lod.bco-dmo.org/id/dataset-parameter/875092.rdf Name: CellspermL Units: cells per milliliter (cells/mL) Description: <p>Cell density</p> http://lod.bco-dmo.org/id/dataset-parameter/875093.rdf Name: RespperCell Units: micromoles of oxygen per minute per cell (umolO2/min/cell) Description: <p>Respiration per cell</p> http://lod.bco-dmo.org/id/dataset-parameter/875094.rdf Name: NetPhotoperCell Units: micromoles of oxygen per minute per cell (umolO2/min/cell) Description: <p>Net photosynthesis per cell</p> http://lod.bco-dmo.org/id/dataset-parameter/875095.rdf Name: GrossPhotoperCell Units: micromoles of oxygen per minute per cell (umolO2/min/cell) Description: <p>Gross photosynthesis per cell</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 6171 https://darchive.mblwhoilibrary.org/bitstream/1912/28943/1/dataset-874587_physiological-data__v1.tsv download https://doi.org/10.26008/1912/bco-dmo.874587.1 download onLine dataset &lt;p&gt;We collected symbionts from octocoral colonies in the genus Antillogorgia from Elbow Reef and Pickles Reef in the Florida Keys in September 2016 (11-18 m depth). Details of collection and genotyping are available in Pelosi et al. (2021). Briefly, we recovered five unique genotypes of &lt;em&gt;Breviolum antillogorgium&lt;/em&gt; from the heterogenous mixture of strains within the colonies. Three of these genotypes (G1, G2, G3) were isolated and reared at 26 C for five years (~650-700 generations) prior to the start of the experiment; the other two genotypes (G4, G5) were isolated and subsequently reared at 30 C for the same period of time. In March 2021, we initiated a laboratory experiment to measure population dynamics and physiology of each genotype at three different temperatures. Every three days, we removed 50 micrometers from each culture and performed four replicate hemacytometer counts and used the mean as an estimate of cell density. On Day 27 of the experiment, we used microrespirometry plates to quantify changes in oxygen in the dark (respiration) and in the light (new photosynthesis).&lt;/p&gt; &lt;p&gt;We used the stock cultures of each genotype to initiate 15 new replicate 50 mL cultures at an initial density of 10,000 cells/mL. Five of these cultures of each genotype were maintained in a growth chamber set at 26 C (actual mean temperature +/- s.d. determined by HOBO Data Logger: 25.5 C +/- 0.51). Another five cultures of each genotype were grown in identical growth chambers set at 30 C (30.1 +/- 0.28) and 32 C (31.6 +/- 0.23). Lights were set on a 12:12 day:night cycle, with average day illumination of 4244 Lux (approximately 59 µmole m-2 s-1 based on a conversion of 1 lux = 0.014 µmole m-2 s-1). On Day 27 of the experiment, we removed two 2 mL from each culture grown at 26 C and used these samples to estimate rates of photosynthesis and respiration at each temperature. Replicate samples were placed in randomly assigned wells in a microrespirometry plate that quantified changes in oxygen concentrations over time (Loligo Systems, Viborg, Denmark) in the 26 C growth chamber. We also placed sterile f/2 samples in two wells in each plate to account for any background changes in oxygen concentration. Samples were dark-adapted for 10 min before measuring oxygen levels in each well every 15 sec for 10 min. Following this, we turned the lights on in the growth chambers, allowed samples two minutes to acclimate, and then again measured oxygen levels every 15 sec for 10 min. The microrespirometry plates were then moved to the 30 C growth chamber, and later the 32 C growth chamber, and allowed to acclimate for 15 minutes in each growth chamber before measurements were taken. We estimated respiration as the slope of a linear fit to declining oxygen levels over time in the dark, subtracting any background changes in oxygen. Similarly, we estimated net photosynthesis as the slope of a linear fit to increasing oxygen levels, accounting for background changes in oxygen in the light. We estimated gross productivity by adding the absolute value of respiration in each culture to net photosynthesis. We standardized respiration, net photosynthesis, and gross photosynthesis by the number of cells in each well, determined by replicate hemacytometer counts, as above.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Known Issues:&lt;/strong&gt;&lt;br /&gt; Genetic analyses revealed that genotype G3 was contaminated with cells of Genotype G1. The results from each genotype are presented here, but the results from G3 should be interpreted with caution.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;&lt;strong&gt;Data Processing:&lt;/strong&gt;&lt;br /&gt; We used the time series data up to the time of maximum density in each culture to estimate per-capita growth rate (r) and carrying capacity (K) using the ‘growthrates’ package (Petzoldt 2019) in R v. 4.0.2 (R Core Team 2021). We used Analysis of Variance (ANOVA) to determine the fixed effects of temperature, algal genotype, and their interaction on maximum growth rate (r), carrying capacity (K), respiration, gross photosynthesis, and net photosynthesis in separate tests. All data were visually inspected for normality and heteroscedasticity using Q-Q plots and plots of residuals against fitted values. All data met the assumptions of ANOVA, except for r, which was log-transformed to meet assumptions.&amp;nbsp; All analyses were conducted in the R Statistical Computing Platform (v. 4.0.2).&lt;/p&gt; &lt;p&gt;&lt;strong&gt;BCO-DMO Processing:&lt;/strong&gt;&lt;br /&gt; - Added a conventional header with dataset name, PI names, version date&lt;/p&gt; 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 Loligo microrespirometry system Loligo microrespirometry system PI Supplied Instrument Name: Loligo microrespirometry system Instrument Name: Respirometer Instrument Short Name: Instrument Description: A device that measures the rate of respiration by a living organism or organic system by measuring its rate of exchange of oxygen and/or carbon dioxide.