http://lod.bco-dmo.org/id/dataset/882390
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
2022-10-13
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Synechococcus (WH8102 and CC9311) growth and genetic sequence accessions from experiments with variable pCO2 treatments from 2016 to 2018
2022-10-13
publication
2022-10-13
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2022-11-03
publication
https://doi.org/10.26008/1912/bco-dmo.882390.1
James Morris
University of Alabama at Birmingham
principalInvestigator
Zhiying Lu
University of Alabama at Birmingham
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: Morris, J. (2022) Synechococcus (WH8102 and CC9311) growth and genetic sequence accessions from experiments with variable pCO2 treatments from 2016 to 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-10-13 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.882390.1 [access date]
Methods and Sampling: <p><em>Strains</em></p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Six clones each of the open ocean&nbsp;<em>Synechococcus</em>&nbsp;strain WH8102 and the coastal&nbsp;<em>Synechococcus</em>&nbsp;strain CC9311 were obtained by dilution to extinction in SN media&nbsp;[1]. The parent cultures of each organism were obtained from the National Center for Marine Algae (Boothbay Harbor, Maine) and were axenic upon receipt. Six clones of&nbsp;<em>Alteromonas</em>&nbsp;sp. strain EZ55 and&nbsp;<em>Prochlorococcus&nbsp;</em>MIT9312 were also previously obtained and cryopreserved at -80 °C&nbsp;[2]. The EZ55&nbsp;clones used in our&nbsp;<em>Synechococcus</em>&nbsp;co-cultures were the same 6 clones used in our previous transcriptomic study of MIT9312&nbsp;[2]&nbsp;in order to maximize the comparability of results between that study and the present study. Co-cultures were initiated by mixing each of the six clones of CC9311 and WH8102 with one of the EZ55 clones.</p>
<p><em>Culture conditions</em></p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<em>Synechococcus</em>&nbsp;cultures were grown under similar conditions to those described in our previous experiment with&nbsp;<em>Prochlorococcus&nbsp;</em>[2]. Briefly, all cultures were prepared in acid-washed conical-bottom glass centrifuge tubes containing 13 mL of artificial seawater (ASW) amended with nutrient stocks&nbsp;[1]&nbsp;and with acid and/or base to control pCO<sub>2</sub>. ASW (per L: 28.41 g NaCl, 0.79 g KCl, 1.58 g CaCl2*2H2O, 7.21 g MgSO4*7H2O, 5.18 g MgCl2*6H2O) was sterilized in acid-washed glass bottles, amended with 2.325 mM (final concentration) of filter-sterilized sodium bicarbonate, then bubbled with sterile air overnight.&nbsp;<em>Synechococcus</em>&nbsp;cultures were grown in SEv (per L: 32&nbsp;μM NaNO<sub>3</sub>, 2&nbsp;μM NaH<sub>2</sub>PO<sub>4</sub>, 20&nbsp;μL SN trace metal stock, and 20&nbsp;μL F/2 vitamin stock). The primary differences between this medium and the PEv medium used in our earlier&nbsp;<em>Prochlorococcus</em>&nbsp;study are the nitrogen source (NO<sub>3</sub><sup>-</sup>&nbsp;vs. NH<sub>4</sub><sup>+</sup>, with molar concentration of N and N:P ratios identical to PEv) and the addition of F/2 vitamins&nbsp;[1]. Carbonate chemistry of each media batch was determined prior to pCO<sub>2</sub>&nbsp;manipulations by measuring alkalinity and pH by titration and colorimetry, respectively&nbsp;[2, 3]&nbsp;and then using the&nbsp;<em>oa&nbsp;</em>function in&nbsp;<em>seacarb</em>&nbsp;package in R to determine how much hydrochloric acid and bicarbonate (for 800 ppm pCO<sub>2</sub>) or sodium hydroxide (for 400 ppm pCO<sub>2</sub>) was needed to achieve desired experimental conditions&nbsp;[4]. Acid and base amendments were introduced immediately prior to inoculation. Cultures were grown in a Percival growth chamber at 21º C under 150&nbsp;μmol photons m<sup>-2</sup>&nbsp;s<sup>-1</sup>&nbsp;on a 14:10 light:dark cycle.&nbsp;<em>Synechococcus</em>&nbsp;cultures were grown on a rotating tissue culture wheel at approximately 60 rpm.</p>
<p><em>Growth experiments</em></p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The transcriptomes of all six clonal replicates of each&nbsp;<em>Synechococcus&nbsp;</em>strain along with their EZ55&nbsp;partners were assessed under approximately 400 (based on atmospheric pCO<sub>2</sub>&nbsp;measured at Mauna Loa in 2015, when the experiment was planned) or 800 ppm (i.e., approximate predicted year 2100 pCO<sub>2</sub>&nbsp;under IPCC scenario A2) pCO<sub>2</sub>. Prior to RNA extraction, each culture was acclimated to experimental conditions for three transfer cycles (approximately 14 generations). Growth was tracked by flow cytometry using a Guava HT1 Flow Cytometer (Luminex Corporation, Austin, TX). EZ55 cell concentrations were determined by dilution onto YTSS agar (per L, 4 g tryptone, 2.5 g yeast extract, 15 g sea salts, 15 g agar). Whenever&nbsp;<em>Synechococcus&nbsp;</em>cell densities reached 2.6 x 10<sup>5</sup>&nbsp;cells mL<sup>-1</sup><em>,&nbsp;</em>cultures were diluted 26-fold into fresh media. Preliminary experiments revealed that this cell concentration was low enough that growth was not limited by nutrients and pH and pCO<sub>2</sub>&nbsp;were not significantly impacted by cyanobacterial carbon concentrating mechanisms. In the final transfer cycle, each culture was split into 5 identical subcultures to increase the biomass available for RNA extraction; all 5 subcultures of each clone were then pooled and collected on a single 0.2&nbsp;mm polycarbonate filter by gentle syringe filtration, then flash-frozen in liquid nitrogen and stored at -80<sup>o</sup>&nbsp;C prior to RNA extraction. For WH8102 cultures, an average of 4.04 x 10<sup>7</sup>&nbsp;WH8102 cells and 3.91 x 10<sup>8&nbsp;</sup>EZ55 cells were collected per filter, and for CC9311 cultures, an average of 5.47 x 10<sup>7</sup>&nbsp;CC9311 and 7.33 x 10<sup>8</sup>&nbsp;EZ55 cells were collected per filter.</p>
<p><em>RNA library preparation and sequencing</em></p>
<p>RNA extraction was performed separately for each replicate culture with the RNeasy Mini Kit (Qiagen, Valencia, CA, USA) with a small modification of the lysis step&nbsp;[2]. rRNA was removed with the Ribo-Zero rRNA Removal Kit for Bacteria (Illumina, San Diego, CA, USA)&nbsp;[7]. Following rRNA removal, samples were purified and concentrated with a RNeasy MiniElute cleanup kit (Qiagen). Quantity and quality of post-digestion RNA were assessed with an Agilent 2100 Bioanalyzer (Agilent, Santa Clara, CA, USA). mRNA library preparation for Illumina Hi-seq 2500 paired-end sequencing (PE100) used TruSeq RNA sample prep kit v2 (Illumina, San Diego, CA, USA). DNA fragment length was 100 bp, paired ends were non-overlapping, and the insert size was approximately 300 bp. Individual barcode sequences were added to sequence reads for multiplex sequencing which were run in a single lane at the Sulzberger Columbia University Genome Center (CUGC) (New York, NY, USA).</p>
<p><em>EZ55 growth experiments with photorespiration metabolites</em></p>
<p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;We investigated the ability of EZ55 to grow on metabolic intermediates in the photorespiration pathway as their sole carbon source. Glycine, glycolate, glucose, and glyoxylate stock solutions (concentrations of 20%, 4%, 4% and 10% W/V, respectively) were filter sterilized using a 0.2 μM filter. The pH of glycolate and glyoxylate stocks was adjusted to approximately 7 using 10 M NaOH. EZ55 clones were inoculated into ASW supplemented with Pro99 nutrients&nbsp;[1]&nbsp;and 0.1% (W/V) glucose&nbsp;[5]&nbsp;and acclimated for 24 hours at 28 ℃ with orbital shaking at 120 rpm.&nbsp;The detection of intracellular H<sub>2</sub>O<sub>2</sub>&nbsp;was performed according&nbsp;to&nbsp;Lu et al.&nbsp;[6], with slight modification. Briefly, 1.5 ml of culture was centrifuged at 8000 rpm for 5 min, the supernatant&nbsp;was removed, and the pellet was resuspended in 1 ml phosphate buffered saline (pH=7.4, Fisher). 5 μl of 1 mM 2′,7′-dichlorodihydrofluorescein diacetate was added to the resuspension and vortexed for 5 seconds and then incubated for 1 h on a shaker (120 rpm) in the dark.&nbsp;The suspension was&nbsp;centrifuged at 8000 rpm for 5 min, the pellet was washed twice with&nbsp;PBS, and finally resuspended in 200 μl PBS. Fluorescence was measured by flow cytometry at excitation/emission wavelengths of 485/535 nm.</p>
<p><em>Detection of glycolate utilization genes (see related dataset "</em>Pipelines for transcriptome analyses"&nbsp;https://www.bco-dmo.org/dataset/881942)</p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Several genes involved in the bacterial glycolate utilization pathway (glycolate/lactate oxidase, the 3 subunits of glycolate dehydrogenase, and tartronate semialdehyde reductase) were not annotated in the reference genomes for our organisms so we specifically sought to detect them using a reciprocal BLAST analysis. We retrieved any sequences from each of the four reference genomes with high similarity (E-value &lt; 0.001) to the relevant genes from&nbsp;<em>Escherichia coli</em>&nbsp;and/or&nbsp;<em>Synechococcus elongatus</em>&nbsp;using blastp&nbsp;[7]&nbsp;and then back-matched each retrieved sequence to the&nbsp;<em>E. coli</em>&nbsp;or&nbsp;<em>S. elongatus</em>&nbsp;reference genome. If the reciprocal match was the same gene used in the original BLAST search, we considered the match significant.</p>
<p><br />
Problems/Issues<br />
In some of our earliest cultures, too few daily flow cytometry measurements were collected to calculate robust exponential growth rates, because it was impossible to confirm at least three data points corresponding to the logarithmic growth phase of the culture.&nbsp; For these cultures, only malthusian growth rates are reported.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851085 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851085
completed
James Morris
University of Alabama at Birmingham
Belle W. Baruch Institute for Marine and Coastal Sciences 715 Sumter Street
Columbia
SC
29208
USA
morris@inlet.geol.sc.edu
pointOfContact
Zhiying Lu
University of Alabama at Birmingham
1-252-773-2353
Campbell Hall, Office 474 1300 University Blvd
Birmingham
AL
35233
USA
luzy@uab.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Strain
Replicate
Treatment
Transfer
Time
Cell_Density
Illumina Hi-seq 2500 paired-end sequencing (PE100)
Agilent 2100 Bioanalyzer (Agilent, Santa Clara, CA, USA)
Millipore Guava HT1 Flow Cytometer
theme
None, User defined
sample description
replicate
treatment
time_elapsed
density
featureType
BCO-DMO Standard Parameters
Automated DNA Sequencer
Bioanalyzer
Flow Cytometer
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.
Collaborative Research: Ecology and Evolution of Microbial Interactions in a Changing Ocean
https://osprey.bco-dmo.org/project/752763
Collaborative Research: Ecology and Evolution of Microbial Interactions in a Changing Ocean
<p><em>NSF Award Abstract:</em><br />
Carbon dioxide released from fossil fuels is causing the ocean to become more acidic. Much attention has been given to how this will affect shelled animals like corals, but acidification also affects the algae that form the base of the ocean food chain. It is possible that future algal communities will look very different than they do today, with potentially negative consequences for fisheries, recreation, and climate. Alternatively, it is possible that these algae will be able to adapt rapidly enough to avoid the worst of it. This study looks at algae adapting to acidification in real time in the lab, focusing on "marketplace" interactions between the algae and the bacteria they live alongside. The researchers also go to sea to learn whether adaptations from the lab experiments are beneficial under real-world conditions. Ultimately, this project is helping scientists better understand how the ocean's most important and most overlooked organisms will respond to the changes humans are causing in their habitat. The researchers also use their scientific work to create fun educational opportunities from grade school to college, including agar art classes where students learn about microbial ecology by "painting" with freshly-isolated ocean bacteria.</p>
<p>The effect of ocean acidification on calcifying organisms has been well-studied, but less is known about how changing pH will affect phytoplankton. Previous work showed that the mutualistic interaction between the globally abundant cyanobacterium Prochlorococcus and its "helper" bacterium Alteromonas broke down under projected future CO2 conditions, leading to a strong decrease in the fitness of Prochlorococcus. It is possible that such interspecies interactions between microbes are important for many ecological processes, but a lack of understanding of how these interactions evolve makes it difficult to predict how important they are. This project is using laboratory evolution experiments to discover how evolution shapes the interactions between bacteria and algae like Prochlorococcus, and how these co-evolutionary dynamics might influence the biogeochemical processes that shape Earth's climate. Four research cruises to the Bermuda Atlantic Time Series are also planned to study how natural algal/bacterial communities respond to acidification, and whether evolved microbes from laboratory experiments have a competitive advantage in complex, natural communities exposed to elevated CO2. The ultimate goal of this project is to gain a mechanistic understanding of microbial interactions that can be used to inform models of Earth's oceans and biological feedbacks on global climate.</p>
LTPE
largerWorkCitation
project
eng; USA
oceans
2016-10-24
2018-01-28
Lab work: Birmingham, Alabama and New York, New York. Field Work: Bermuda Atlantic Time Series.
0
BCO-DMO catalogue of parameters from Synechococcus (WH8102 and CC9311) growth and genetic sequence accessions from experiments with variable pCO2 treatments from 2016 to 2018
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/882988.rdf
Name: Strain
Units: unitless
Description: <p>Strain (CC9311 or WH8102)</p>
http://lod.bco-dmo.org/id/dataset-parameter/882989.rdf
Name: Replicate
Units: unitless
Description: <p>Replicate (representing the clonal biological replicate of each culture)</p>
http://lod.bco-dmo.org/id/dataset-parameter/882990.rdf
Name: Treatment
Units: unitless
Description: <p>Treatment (400 ppm or 800 ppm pCO2)</p>
http://lod.bco-dmo.org/id/dataset-parameter/882991.rdf
Name: Transfer
Units: unitless
Description: <p>Transfer (each culture was passaged twice before RNA harvesting at the end of the third 'transfer cycle'; during the third cycle, each replicate was split into 5 replicate tubes to increase harvested biomass, designated as e.g. replicate 1.1, 1.2, 1.3, etc.)</p>
http://lod.bco-dmo.org/id/dataset-parameter/882992.rdf
Name: Time
Units: unitless
Description: <p>Time (days since the first post-acclimation transfer)</p>
http://lod.bco-dmo.org/id/dataset-parameter/882993.rdf
Name: Cell_Density
Units: cells per milliliter
Description: <p>Cell Density (measured by flow cytometry)</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
18871
https://darchive.mblwhoilibrary.org/bitstream/1912/29465/1/dataset-882390_synechococcus-growth-and-genetic-sequence-accessions-pco2-experiments__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.882390.1
download
onLine
dataset
<p><em>Strains</em></p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Six clones each of the open ocean&nbsp;<em>Synechococcus</em>&nbsp;strain WH8102 and the coastal&nbsp;<em>Synechococcus</em>&nbsp;strain CC9311 were obtained by dilution to extinction in SN media&nbsp;[1]. The parent cultures of each organism were obtained from the National Center for Marine Algae (Boothbay Harbor, Maine) and were axenic upon receipt. Six clones of&nbsp;<em>Alteromonas</em>&nbsp;sp. strain EZ55 and&nbsp;<em>Prochlorococcus&nbsp;</em>MIT9312 were also previously obtained and cryopreserved at -80 °C&nbsp;[2]. The EZ55&nbsp;clones used in our&nbsp;<em>Synechococcus</em>&nbsp;co-cultures were the same 6 clones used in our previous transcriptomic study of MIT9312&nbsp;[2]&nbsp;in order to maximize the comparability of results between that study and the present study. Co-cultures were initiated by mixing each of the six clones of CC9311 and WH8102 with one of the EZ55 clones.</p>
<p><em>Culture conditions</em></p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<em>Synechococcus</em>&nbsp;cultures were grown under similar conditions to those described in our previous experiment with&nbsp;<em>Prochlorococcus&nbsp;</em>[2]. Briefly, all cultures were prepared in acid-washed conical-bottom glass centrifuge tubes containing 13 mL of artificial seawater (ASW) amended with nutrient stocks&nbsp;[1]&nbsp;and with acid and/or base to control pCO<sub>2</sub>. ASW (per L: 28.41 g NaCl, 0.79 g KCl, 1.58 g CaCl2*2H2O, 7.21 g MgSO4*7H2O, 5.18 g MgCl2*6H2O) was sterilized in acid-washed glass bottles, amended with 2.325 mM (final concentration) of filter-sterilized sodium bicarbonate, then bubbled with sterile air overnight.&nbsp;<em>Synechococcus</em>&nbsp;cultures were grown in SEv (per L: 32&nbsp;μM NaNO<sub>3</sub>, 2&nbsp;μM NaH<sub>2</sub>PO<sub>4</sub>, 20&nbsp;μL SN trace metal stock, and 20&nbsp;μL F/2 vitamin stock). The primary differences between this medium and the PEv medium used in our earlier&nbsp;<em>Prochlorococcus</em>&nbsp;study are the nitrogen source (NO<sub>3</sub><sup>-</sup>&nbsp;vs. NH<sub>4</sub><sup>+</sup>, with molar concentration of N and N:P ratios identical to PEv) and the addition of F/2 vitamins&nbsp;[1]. Carbonate chemistry of each media batch was determined prior to pCO<sub>2</sub>&nbsp;manipulations by measuring alkalinity and pH by titration and colorimetry, respectively&nbsp;[2, 3]&nbsp;and then using the&nbsp;<em>oa&nbsp;</em>function in&nbsp;<em>seacarb</em>&nbsp;package in R to determine how much hydrochloric acid and bicarbonate (for 800 ppm pCO<sub>2</sub>) or sodium hydroxide (for 400 ppm pCO<sub>2</sub>) was needed to achieve desired experimental conditions&nbsp;[4]. Acid and base amendments were introduced immediately prior to inoculation. Cultures were grown in a Percival growth chamber at 21º C under 150&nbsp;μmol photons m<sup>-2</sup>&nbsp;s<sup>-1</sup>&nbsp;on a 14:10 light:dark cycle.&nbsp;<em>Synechococcus</em>&nbsp;cultures were grown on a rotating tissue culture wheel at approximately 60 rpm.</p>
<p><em>Growth experiments</em></p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The transcriptomes of all six clonal replicates of each&nbsp;<em>Synechococcus&nbsp;</em>strain along with their EZ55&nbsp;partners were assessed under approximately 400 (based on atmospheric pCO<sub>2</sub>&nbsp;measured at Mauna Loa in 2015, when the experiment was planned) or 800 ppm (i.e., approximate predicted year 2100 pCO<sub>2</sub>&nbsp;under IPCC scenario A2) pCO<sub>2</sub>. Prior to RNA extraction, each culture was acclimated to experimental conditions for three transfer cycles (approximately 14 generations). Growth was tracked by flow cytometry using a Guava HT1 Flow Cytometer (Luminex Corporation, Austin, TX). EZ55 cell concentrations were determined by dilution onto YTSS agar (per L, 4 g tryptone, 2.5 g yeast extract, 15 g sea salts, 15 g agar). Whenever&nbsp;<em>Synechococcus&nbsp;</em>cell densities reached 2.6 x 10<sup>5</sup>&nbsp;cells mL<sup>-1</sup><em>,&nbsp;</em>cultures were diluted 26-fold into fresh media. Preliminary experiments revealed that this cell concentration was low enough that growth was not limited by nutrients and pH and pCO<sub>2</sub>&nbsp;were not significantly impacted by cyanobacterial carbon concentrating mechanisms. In the final transfer cycle, each culture was split into 5 identical subcultures to increase the biomass available for RNA extraction; all 5 subcultures of each clone were then pooled and collected on a single 0.2&nbsp;mm polycarbonate filter by gentle syringe filtration, then flash-frozen in liquid nitrogen and stored at -80<sup>o</sup>&nbsp;C prior to RNA extraction. For WH8102 cultures, an average of 4.04 x 10<sup>7</sup>&nbsp;WH8102 cells and 3.91 x 10<sup>8&nbsp;</sup>EZ55 cells were collected per filter, and for CC9311 cultures, an average of 5.47 x 10<sup>7</sup>&nbsp;CC9311 and 7.33 x 10<sup>8</sup>&nbsp;EZ55 cells were collected per filter.</p>
<p><em>RNA library preparation and sequencing</em></p>
<p>RNA extraction was performed separately for each replicate culture with the RNeasy Mini Kit (Qiagen, Valencia, CA, USA) with a small modification of the lysis step&nbsp;[2]. rRNA was removed with the Ribo-Zero rRNA Removal Kit for Bacteria (Illumina, San Diego, CA, USA)&nbsp;[7]. Following rRNA removal, samples were purified and concentrated with a RNeasy MiniElute cleanup kit (Qiagen). Quantity and quality of post-digestion RNA were assessed with an Agilent 2100 Bioanalyzer (Agilent, Santa Clara, CA, USA). mRNA library preparation for Illumina Hi-seq 2500 paired-end sequencing (PE100) used TruSeq RNA sample prep kit v2 (Illumina, San Diego, CA, USA). DNA fragment length was 100 bp, paired ends were non-overlapping, and the insert size was approximately 300 bp. Individual barcode sequences were added to sequence reads for multiplex sequencing which were run in a single lane at the Sulzberger Columbia University Genome Center (CUGC) (New York, NY, USA).</p>
<p><em>EZ55 growth experiments with photorespiration metabolites</em></p>
<p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;We investigated the ability of EZ55 to grow on metabolic intermediates in the photorespiration pathway as their sole carbon source. Glycine, glycolate, glucose, and glyoxylate stock solutions (concentrations of 20%, 4%, 4% and 10% W/V, respectively) were filter sterilized using a 0.2 μM filter. The pH of glycolate and glyoxylate stocks was adjusted to approximately 7 using 10 M NaOH. EZ55 clones were inoculated into ASW supplemented with Pro99 nutrients&nbsp;[1]&nbsp;and 0.1% (W/V) glucose&nbsp;[5]&nbsp;and acclimated for 24 hours at 28 ℃ with orbital shaking at 120 rpm.&nbsp;The detection of intracellular H<sub>2</sub>O<sub>2</sub>&nbsp;was performed according&nbsp;to&nbsp;Lu et al.&nbsp;[6], with slight modification. Briefly, 1.5 ml of culture was centrifuged at 8000 rpm for 5 min, the supernatant&nbsp;was removed, and the pellet was resuspended in 1 ml phosphate buffered saline (pH=7.4, Fisher). 5 μl of 1 mM 2′,7′-dichlorodihydrofluorescein diacetate was added to the resuspension and vortexed for 5 seconds and then incubated for 1 h on a shaker (120 rpm) in the dark.&nbsp;The suspension was&nbsp;centrifuged at 8000 rpm for 5 min, the pellet was washed twice with&nbsp;PBS, and finally resuspended in 200 μl PBS. Fluorescence was measured by flow cytometry at excitation/emission wavelengths of 485/535 nm.</p>
<p><em>Detection of glycolate utilization genes (see related dataset "</em>Pipelines for transcriptome analyses"&nbsp;https://www.bco-dmo.org/dataset/881942)</p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Several genes involved in the bacterial glycolate utilization pathway (glycolate/lactate oxidase, the 3 subunits of glycolate dehydrogenase, and tartronate semialdehyde reductase) were not annotated in the reference genomes for our organisms so we specifically sought to detect them using a reciprocal BLAST analysis. We retrieved any sequences from each of the four reference genomes with high similarity (E-value &lt; 0.001) to the relevant genes from&nbsp;<em>Escherichia coli</em>&nbsp;and/or&nbsp;<em>Synechococcus elongatus</em>&nbsp;using blastp&nbsp;[7]&nbsp;and then back-matched each retrieved sequence to the&nbsp;<em>E. coli</em>&nbsp;or&nbsp;<em>S. elongatus</em>&nbsp;reference genome. If the reciprocal match was the same gene used in the original BLAST search, we considered the match significant.</p>
<p><br />
Problems/Issues<br />
In some of our earliest cultures, too few daily flow cytometry measurements were collected to calculate robust exponential growth rates, because it was impossible to confirm at least three data points corresponding to the logarithmic growth phase of the culture.&nbsp; For these cultures, only malthusian growth rates are reported.</p>
Specified by the Principal Investigator(s)
<p>Statistical analyses and related code described below can be downloaded from the pipeline package&nbsp;GrowthCurve_analysis.zip in the&nbsp;"Data Files" section of this page.&nbsp; The following refers to the file names within that .zip package.</p>
<p>The supplemental file SynProGrowthCurves.rcode.txt contains the R code necessary to replicate our statistical analysis of the growth curves of both the above Synechococcus cultures as well as the Prochlorococcus cultures reported in our earlier manuscript (Hennon et al. 2018).&nbsp; The packages plyr (Wickham, 2011), lme4 (Bates et al., 2017), and lsmeans (or emmeans&nbsp;(Lenth et al., 2022) ) will need to be installed, but after that the code can be copied and pasted into an R window with the working directory set to contain SynGR.csv and our results should be reproducible.</p>
<p>The file SynGR.csv contains the compiled growth rate data used for the statistical analysis.&nbsp; Column headings are Species (CC9311, WH8102, or MIT9312), Replicate (biological replicate clone), Treatment (CO2- for 400 ppm pCO2 or CO2+ for 800 ppm), Transfer (see above), T0 (date of initial culture inoculation), Tend (date of culture transfer or RNA harvesting), InitDens and FinalDens (cell density in cells per milliliter on T0 and Tend, respectively), t (elapsed time in days between T0 and Tend), m (malthusian growth rate, inverse days), r (exponential growth rate, inverse days), Lag (lag phase duration in days), DieOff (initial loss of cells after transfer as a proportion).&nbsp; Note that r, lag, and DieOff were only calculable for cultures that were monitored frequently enough to allow robust estimates of exponential growth rate; some CC9311 cultures were sampled less frequently.&nbsp;</p>
<p>BCO-DMO Data Manager Processing Notes:<br />
* Entire analysis pipeline including exact format of data the pipeline requires added as a zip package to Data Files section.<br />
*&nbsp;The results data file SynCurves.csv was imported into the BCO-DMO data system and published as the main results table for this dataset.<br />
* SRA accessions and related collection and treatment information extracted from NCBI's SRA Run Selector and attached as a supplemental file (SraRunTable_PRJNA377729.csv)</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
Illumina Hi-seq 2500 paired-end sequencing (PE100)
Illumina Hi-seq 2500 paired-end sequencing (PE100)
PI Supplied Instrument Name: Illumina Hi-seq 2500 paired-end sequencing (PE100) 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.
Agilent 2100 Bioanalyzer (Agilent, Santa Clara, CA, USA)
Agilent 2100 Bioanalyzer (Agilent, Santa Clara, CA, USA)
PI Supplied Instrument Name: Agilent 2100 Bioanalyzer (Agilent, Santa Clara, CA, USA) Instrument Name: Bioanalyzer Instrument Short Name:Bioanalyzer Instrument Description: A Bioanalyzer is a laboratory instrument that provides the sizing and quantification of DNA, RNA, and proteins. One example is the Agilent Bioanalyzer 2100.
Millipore Guava HT1 Flow Cytometer
Millipore Guava HT1 Flow Cytometer
PI Supplied Instrument Name: Millipore Guava HT1 Flow Cytometer Instrument Name: Flow Cytometer Instrument Short Name:Flow Cytometer Instrument Description: Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.
(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB37/