Garcia Nathan S.

No Thumbnail Available
Last Name
Garcia
First Name
Nathan S.
ORCID

Filters

2022 - 2024 2
1 1
2
Reset filters

Settings

Search Results

Now showing 1 - 2 of 2
  • Dataset
    POM concentrations for carbon, nitrogen, and phosphorus from GO-SHIP Line C13.5/A13.5 in 2020
    (Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-02-01) Martiny, Adam ; Garcia, Nathan S. ; Tanioka, Tatsuro ; Fagan, Adam J.
    This dataset includes particulate organic matter (POM) concentrations for carbon, nitrogen, and phosphorus. Data are from samples collected from NOAA Ship R/V Ronald H. Brown (cruise EXPOCODE: 33RO20200321), acting under the auspices of the Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP), A13.5 GO-SHIP/CO2 Repeat Hydrography Cruise in 2020. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/868908
  • Article
    Proteome trait regulation of marine Synechococcus elemental stoichiometry under global change
    (Oxford University Press, 2024-03-21) Garcia, Nathan S. ; Du, Mingyu ; Guindani, Michele ; McIlvin, Matthew R. ; Moran, Dawn M. ; Saito, Mak A. ; Martiny, Adam C.
    Recent studies have demonstrated regional differences in marine ecosystem C:N:P with implications for carbon and nutrient cycles. Due to strong co-variance, temperature and nutrient stress explain variability in C:N:P equally well. A reductionistic approach can link changes in individual environmental drivers with changes in biochemical traits and cell C:N:P. Thus, we quantified effects of temperature and nutrient stress on Synechococcus chemistry using laboratory chemostats, chemical analyses, and data-independent acquisition mass spectrometry proteomics. Nutrient supply accounted for most C:N:Pcell variability and induced tradeoffs between nutrient acquisition and ribosomal proteins. High temperature prompted heat-shock, whereas thermal effects via the “translation-compensation hypothesis” were only seen under P-stress. A Nonparametric Bayesian Local Clustering algorithm suggested that changes in lipopolysaccharides, peptidoglycans, and C-rich compatible solutes may also contribute to C:N:P regulation. Physiological responses match field-based trends in ecosystem stoichiometry and suggest a hierarchical environmental regulation of current and future ocean C:N:P.