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Martínez-Sosa, Pablo; Tierney, Jessica E; Meredith, Laura K (2020): Controlled lacustrine microcosms show a brGDGT response to environmental perturbations. Lipid data [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.911678

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Abstract:
In this work we used controlled microcosms to study the effect of temperature and pH on brGDGTs in lake water. We collected surface water from Kennedy Lake, Tucson, AZ, a shallow eutrophic artificial reservoir previously described by Martínez-Sosa & Tierney (2019). From the collected samples we set up a series of microcosms, consisting of 1L glass flasks filled with lake water, and manipulated single environmental factors including temperature and pH. For our temperature incubations, we selected four conditions (9C, 18C, 27C and 35C) and incubated 3 1L flasks under each condition for two periods of time (4 or 6 weeks). For the pH incubations, we used commercially available freshwater aquarium non-phosphate buffers (Proprietary composition, Seachem, Madison, GA, USA) to manipulate the pH of the microcosms. For these experiments we targeted four pH conditions (4, 5, 6 and 7), and included two control samples: one where we added enough buffer to maintain the initial pH (Control + Buffer), and another to which we added no buffer (Control - Buffer). GDGTs were analyzed on an Agilent 1260 Infinity HPLC coupled to an Agilent 6120 single quadrupole mass spectrometer using two BEH HILIC silica columns (2.1 x 150 mm, 1.7 um; Waters) and the methodology of Hopmans et al. (2016). We calculated peak areas using the MATLAB package software ORIGAmI (Fleming et al. 2016) and estimated the concentration of brGDGTs by comparing the obtained peaks with a C46 internal standard (Huguet et al. 2006) normalized to the volume of each sample.
Keyword(s):
brGDGTs; lakes; microcosms; pH; Temperature
Supplement to:
Martínez-Sosa, Pablo; Tierney, Jessica E; Meredith, Laura K (in press): Controlled lacustrine microcosms show a brGDGT response to environmental perturbations. Organic Geochemistry, 104041, https://doi.org/10.1016/j.orggeochem.2020.104041
Further details:
Fleming, Laura; Tierney, Jessica E (2016): An automated method for the determination of the TEX86 and paleotemperature indices. Organic Geochemistry, 92, 84-91, https://doi.org/10.1016/j.orggeochem.2015.12.011
Hopmans, Ellen C; Schouten, Stefan; Sinninghe Damsté, Jaap S (2016): The effect of improved chromatography on GDGT-based palaeoproxies. Organic Geochemistry, 93, 1-6, https://doi.org/10.1016/j.orggeochem.2015.12.006
Huguet, Carme; Hopmans, Ellen C; Febo-Ayala, Wilma; Thompson, David H; Sinninghe Damsté, Jaap S; Schouten, Stefan (2006): An improved method to determine the absolute abundance of glycerol dibiphytanyl glycerol tetraether lipids. Organic Geochemistry, 37(9), 1036-1041, https://doi.org/10.1016/j.orggeochem.2006.05.008
Martínez-Sosa, Pablo; Tierney, Jessica E (2019): Lacustrine brGDGT response to microcosm and mesocosm incubations. Organic Geochemistry, 127, 12-22, https://doi.org/10.1016/j.orggeochem.2018.10.011
Coverage:
Latitude: 32.229800 * Longitude: -110.954900
Event(s):
Kennedy_Lake_water_microcosm * Latitude: 32.229800 * Longitude: -110.954900 * Location: Tucson, Arizona, USA * Method/Device: Laboratory experiment
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Sample IDSample IDMartínez-Sosa, Pablo
2ExperimentExpMartínez-Sosa, Pablo
3Incubation durationInc durweeksMartínez-Sosa, Pablo
4Temperature, waterTemp°CMartínez-Sosa, Pabloincubation temperature
5pHpHMartínez-Sosa, Pabloincubation pH
6Branched glycerol dialkyl glycerol tetraether, IIIabrGDGT IIIang/lMartínez-Sosa, PabloCalculated
7Standard deviationStd dev±Martínez-Sosa, PabloCalculated
8Branched glycerol dialkyl glycerol tetraether, IIIa'brGDGT IIIa'ng/lMartínez-Sosa, PabloCalculated
9Standard deviationStd dev±Martínez-Sosa, PabloCalculated
10Branched glycerol dialkyl glycerol tetraether, IIabrGDGT IIang/lMartínez-Sosa, PabloCalculated
11Standard deviationStd dev±Martínez-Sosa, PabloCalculated
12Branched glycerol dialkyl glycerol tetraether, IIa'brGDGT IIa'ng/lMartínez-Sosa, PabloCalculated
13Standard deviationStd dev±Martínez-Sosa, PabloCalculated
14Branched glycerol dialkyl glycerol tetraether, IIbbrGDGT IIbng/lMartínez-Sosa, PabloCalculated
15Standard deviationStd dev±Martínez-Sosa, PabloCalculated
16Branched glycerol dialkyl glycerol tetraether, IIb'brGDGT IIb'ng/lMartínez-Sosa, PabloCalculated
17Standard deviationStd dev±Martínez-Sosa, PabloCalculated
18Branched glycerol dialkyl glycerol tetraether, IabrGDGT Iang/lMartínez-Sosa, PabloCalculated
19Standard deviationStd dev±Martínez-Sosa, PabloCalculated
20Branched glycerol dialkyl glycerol tetraether, IbbrGDGT Ibng/lMartínez-Sosa, PabloCalculated
21Standard deviationStd dev±Martínez-Sosa, PabloCalculated
22Branched glycerol dialkyl glycerol tetraether, IcbrGDGT Icng/lMartínez-Sosa, PabloCalculated
23Standard deviationStd dev±Martínez-Sosa, PabloCalculated
24Branched glycerol dialkyl glycerol tetraetherbrGDGTng/lMartínez-Sosa, PabloCalculatedTotal branched GDGTs
25Standard deviationStd dev±Martínez-Sosa, PabloCalculated
26Cyclization ratio of branched tetraethersCBTMartínez-Sosa, PabloCalculated
27Standard deviationStd dev±Martínez-Sosa, PabloCalculated
28Methylation index of 5-methyl branched glycerol dialkyl glycerol tetraetherMBT'5MEMartínez-Sosa, PabloCalculated
29Standard deviationStd dev±Martínez-Sosa, PabloCalculated
30Isomer ratioIRMartínez-Sosa, PabloCalculated
31Standard deviationStd dev±Martínez-Sosa, PabloCalculated
32Degree of cyclisationDCMartínez-Sosa, PabloCalculatedfC
33Standard deviationStd dev±Martínez-Sosa, PabloCalculated
Size:
528 data points

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