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  • 1
    Electronic Resource
    Electronic Resource
    Bacterial siderophores: the structures of the pyoverdins of Pseudomonas fluorescens ATCC 13525
    Amsterdam : Elsevier
    Tetrahedron Letters 33 (1992), S. 1737-1740 
    Details
    ISSN: 0040-4039
    Keywords: Iron-transport ; Peptides ; Pseudomonas ; Pyoverdins ; Siderophores
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/S0040-4039(00)91719-2
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Structure of azoverdin, a pyoverdin-like siderophore of Azomonas macrocytogenes ATCC 12334
    Amsterdam : Elsevier
    Tetrahedron Letters 33 (1992), S. 1889-1892 
    Details
    ISSN: 0040-4039
    Keywords: Azomonas macrocytogenes ; Azoverdin ; Iron-Transport ; Peptides ; Pyoverdins ; Siderophores
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/S0040-4039(00)74169-4
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  • 3
    Electronic Resource
    Electronic Resource
    Bacterial siderophores: the structure of a desferriferribactin produced by pseudomonas fluorescens ATCC 13525
    Amsterdam : Elsevier
    Tetrahedron Letters 33 (1992), S. 3851-3854 
    Details
    ISSN: 0040-4039
    Keywords: Desferriferribactin ; Peptides ; Pseudomonas ; Pyoverdins ; Siderophores
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/S0040-4039(00)74802-7
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  • 4
    Electronic Resource
    Electronic Resource
    Azotobacter vinelandii strains of disparate origin produce azotobactin siderophores with identical structures (1991)
    Springer
    BioMetals 4 (1991), S. 217-222 
    Details
    ISSN: 1572-8773
    Keywords: Azotobacter vinelandii ; Siderophores ; Pyoverdin ; Azotobactin ; Iron uptake
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: Summary The yellow green fluorescent siderophore, azotobactin, was purified from cultures of twoAzotobacter vinelandii strains. Structural analysis of azotobactin from the North AmericanA. vinelandii strains O and its capsule negative variant UW (also called OP) revealed that both strains produced azotobactins with identical structures. Moreover, azotobactin produced by these two strains was structurally identical to azotobactin D, the fluorescent siderophore previously isolated from the EuropeanA. vinelandii strain D (CCM 289). Unlike strains of fluorescentPseudomonas which produce structurally diverse pyoverdins, strains ofA. vinelandii of disparate origin produced azotobactins of identical structure. Lactonization of azotobactin did not interfere with the ability of this compound to function as a siderophore.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01141184
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  • 5
    Electronic Resource
    Electronic Resource
    Bacterial siderophores : structure and NMR assignment of pyoverdins Pa, siderophores ofPseudomonas aeruginosa ATCC 15692 (1990)
    Springer
    BioMetals 3 (1990), S. 155-170 
    Details
    ISSN: 1572-8773
    Keywords: Siderophores ; Pyoverdins ; Pseudomonas aeruginosa ; FAB-MS ; NMR
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: Summary In iron-deficient conditions,Pseudomonas aeruginosa ATCC 15692 synthesizes two major siderophores, pyoverdins Pa and pyoverdin Pa B. Two other compounds, pyoverdin Pa A (occurring from hydrolysis of pyoverdin Pa during the culture) and pyoverdin Pa C (occurring artifactually during the purification procedure) were also isolated. All these compounds possess the same partly cyclic peptide chain wherel-Orn(δOH · HCO) isN δ-formyl,N δ-hydroxy-l-ornithine. The chain is bound to a chromophore derived from 2,3-diamino-6,7-dihydroxyquinoline and having the (S) configuration. The four pyoverdins differ only in the acyl substituent bound to the nitrogen atom bound to carbon C3 of the chromophore. This is succinamide (pyoverdin Pa), succinic acid (pyoverdin Pa A), methyl succinate (pyoverdin Pa C) and 2-oxoglutaric acid (pyoverdin Pa B). The complete1H- and13CNMR assignments, using two-dimensional total correlation NMR spectroscopy (TOCSY) and rotating-frame Overhauser enhancement spectroscopy (ROESY) procedures, as well as1H-13C correlations, are reported. The complete sequence of the peptide using CHα-NH correlations was achieved by NMR and confirmed the partly cyclic structure earlier reported using fast-atom-bombardment mass spectrometry (FAB-MS) on the siderophores and their dansylated fragments [Briskot G, Taraz K, Budzikiewicz H (1989)Liebigs Ann Chem: 375–384]. The use of these NMR procedures appears to be a tool of choice and a complementary approach to FAB-MS in the structure determination of some complex pyoverdins.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01140574
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  • 6
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    A31N-03: Lower-Tropospheric CO2 from Near-Infrared ACOS-GOSAT Observations (2016)
    In:  CASI
    Details
    Publication Date: 2019-07-19
    Description: We present two new products from near-infrared GOSAT observations: lower tropospheric (LMT, from 0-2.5 km) and upper tropospheric/stratospheric (U, above 2.5 km) carbon dioxide partial columns. We compare these new products to aircraft profiles and remote surface flask measurements and find that the seasonal and year-to-year variations in the new partial columns significantly improve over the ACOS-GOSAT initial guess/a priori, with distinct patterns in the LMT and U seasonal cycles which match validation data. For land monthly averages, we find errors of 1.9, 0.7, and 0.8 ppm for retrieved GOSAT LMT, U, and XCO2; for ocean monthly averages, we find errors of 0.7, 0.5, and 0.5 ppm for retrieved GOSAT LMT, U, and XCO2. In the southern hemisphere biomass burning season, the new partial columns show similar patterns to MODIS fire maps and MOPITT multispectral CO for both vertical levels, despite a flat ACOS-GOSAT prior, and CO/CO2 emission factor consistent with published values. The difference of LMT and U, useful for evaluation of model transport error, has also been validated with monthly average error of 0.8 (1.4) ppm for ocean (land). The new LMT partial column is more locally influenced than the U partial column, meaning that local fluxes can now be separated from CO2 transported from far away.
    Keywords: Earth Resources and Remote Sensing
    Type: ARC-E-DAA-TN37969 , AGU Fall Meeting; Dec 12, 2016 - Dec 16, 2016; San Francisco, CA; United States
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  • 7
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    The Orbiting Carbon Observatory (OCO-2) L2 Retrieval Algorithm: First Tests with Greenhouse Gases Observing SATellite (GOSAT) Data (2012)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing
    Type: International Radiation Symposium 2012; Aug 06, 2012 - Aug 10, 2012; Berlin; Germany
    Format: text
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  • 8
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    Target Mode (2012)
    In:  Other Sources
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    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing
    Type: OCO-2/ACOS L2 Alogrithm Meeting; Feb 14, 2012 - Feb 15, 2012; Pasadena, CA; United States
    Format: text
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  • 9
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    Global CO2 Distributions over Land from the Greenhouse Gases Observing Satellite (GOSAT) (2012)
    In:  CASI
    Details
    Publication Date: 2019-07-12
    Description: January 2009 saw the successful launch of the first space-based mission specifically designed for measuring greenhouse gases, the Japanese Greenhouse gases Observing SATellite (GOSAT). We present global land maps (Level 3 data) of column-averaged CO2 concentrations (X(sub CO2)) derived using observations from the GOSAT ACOS retrieval algorithm, for July through December 2009. The applied geostatistical mapping approach makes it possible to generate maps at high spatial and temporal resolutions that include uncertainty measures and that are derived directly from the Level 2 observations, without invoking an atmospheric transport model or estimates of CO2 uptake and emissions. As such, they are particularly well suited for comparison studies. Results show that the Level 3 maps for July to December 2009 on a lO x 1.250 grid, at six-day resolution capture much of the synoptic scale and regional variability of X(sub CO2), in addition to its overall seasonality. The uncertainty estimates, which reflect local data coverage, X(sub CO2) variability, and retrieval errors, indicate that the Southern latitudes are relatively well-constrained, while the Sahara Desert and the high Northern latitudes are weakly-constrained. A probabilistic comparison to the PCTM/GEOS-5/CASA-GFED model reveals that the most statistically significant discrepancies occur in South America in July and August, and central Asia in September to December. While still preliminary, these results illustrate the usefulness of a high spatiotemporal resolution, data-driven Level 3 data product for direct interpretation and comparison of satellite observations of highly dynamic parameters such as atmospheric CO2.
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC.JA.01101.2012
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  • 10
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    Characteristics of Total Column CO2 Retrievals from the OCO Missions: Biases, Information Content and Implications for Flux Inversions (2019)
    In:  CASI
    Details
    Publication Date: 2020-01-03
    Description: The Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3, launched in 2015 and 2019, respectively, are intended to collect and deliver high-resolution observations of CO2 with unprecedented space and time coverage. Observations of CO2 from these remote-sensing missions (also known as XCO2, or column-based average, dry air mole fraction of CO2) are then used by the global carbon cycle community to answer a wide range of science questions, from the distribution and quantification of global and regional CO2 source-sink patterns to quantification of anthropogenic sources at urban scales. Even though we have had the OCO-2 mission flying for a few years now, the retrieval algorithms are continuously evolving and improving to deliver XCO2 retrievals with very high precision and high accuracy (or low biases). In this presentation, we will discuss a simple yet effective quantitative framework that has been developed by the OCO-2 flux team to evaluate the information content of these XCO2 retrievals as soon as they are released, i.e., with lower latency than full-scale flux inversions. This framework serves as a precursor to advanced inverse modeling frameworks and is intended to provide an early but accurate assessment of the signal present in the satellite retrievals, the robustness of that signal, and the ability of these retrievals to resolve patterns in CO2 surface fluxes that cannot be resolved by our current network of surface sites. Specific results will tackle a tiered set of questions that are being addressed using this framework: (a) what are the distribution of retrievals in the different modes of operation and how do they vary in space and time? (b) what is the information that is being given to the inverse modeling frameworks from the space-based data, information above and beyond what is provided by the in-situ data? and (c) how do these factors influence our choices for doing flux inversions with the satellite retrievals? While the primary focus of the results will be on application of this technique to mature OCO-2 retrievals, we will show early results for a couple of months of OCO-3 retrievals. For the time-period that the retrievals from the two missions overlap, we will highlight how this framework allows us to effortlessly put the information from OCO-3 and OCO-2 on an equal footing, thus enabling easy comparison between the two pioneering missions.
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN76547 , AGU Fall Meeting; Dec 09, 2019 - Dec 13, 2019; San Francisco, CA; United States
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