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  • 2020-2024  (3)
  • 2020  (3)
Publikationsart
Schlagwörter
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Erscheinungszeitraum
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  • 1
    Online-Ressource
    Online-Ressource
    Singapore :Springer Singapore Pte. Limited,
    Schlagwort(e): Photosynthesis. ; Electronic books.
    Materialart: Online-Ressource
    Seiten: 1 online resource (346 pages)
    Ausgabe: 1st ed.
    ISBN: 9789811531101
    DDC: 581.13342
    Sprache: Englisch
    Anmerkung: Intro -- Preface -- Contents -- Part I: Photosynthesis and Energy Transfer -- Molecular Mechanism of Photosynthesis Driven by Red-Shifted Chlorophylls -- 1 General Knowledge of Photosynthesis -- 2 Photosynthetic Organisms -- 2.1 Photosynthetic Eukaryotes -- 2.2 Photosynthetic Prokaryotes -- 2.2.1 Anoxygenic Photosynthetic Prokaryotes -- 2.2.2 Oxygenic Photosynthetic Prokaryotes (Cyanobacteria) -- 3 Photopigments -- 3.1 Carotenoids -- 3.2 Phycobiliprotein Complexes -- 3.3 Chlorophylls -- 3.3.1 Chl a and Its Spectral Properties -- 3.3.2 Formyl Substitution in Chl b, Chl d, and Chl f -- 3.3.3 Diformyl Variants -- 3.3.4 Chl c Family -- 3.3.5 Other Chlorophyll Variants (Including Chemically Modified) -- 4 Photopigment-Binding Protein Complexes -- 4.1 Photosystem I -- 4.2 Photosystem II -- 4.3 Chlorophyll-Binding Light-Harvesting Protein Complexes (CBPs) -- 4.3.1 Inner Antenna Complexes -- 4.3.2 Chl-Binding Proteins in Cyanobacteria -- 4.3.3 Iron-Stress-Induced Chlorophyll-binding Protein A (IsiA) -- 4.4 Phycobilisomes (PBSs) -- 5 Acaryochloris marina -- 5.1 Light-Harvesting Systems -- 5.1.1 Chl d-Binding Light-Harvesting Proteins -- 5.1.2 Phycobiliproteins -- 5.2 Photosystems -- 5.3 Biochemistry of Chlorophyll d -- 6 Chl f-Producing Cyanobacteria -- 6.1 Occurrence of Chl f-Producing Cyanobacteria -- 6.2 Chl f and Photosynthetic Reactions -- 6.3 Biochemistry of Chl f -- 7 Applications of Red-Shifted Chlorophylls -- References -- Cyanobacterial NDH-1-Photosystem I Supercomplex -- 1 Introduction -- 2 Identification -- 3 Function -- 4 Assembly -- 5 Evolutional Change -- 6 Concluding Remarks -- References -- Recent Progress on the LH1-RC Complexes of Purple Photosynthetic Bacteria -- 1 Introduction -- 2 Structure of the LH1-RC Complexes -- 2.1 Overall Structure of LH1-RC Complex -- 2.2 Novel Structural Features of the Intact RC Complex. , 2.3 Potential Exchange Pathway for Quinones -- 2.4 Structural Basis for the Redshift and Enhanced Thermostability -- 3 Dynamic Process Involved in the LH1-RC -- 3.1 Exciton Delocalization and Relaxation on the LH1 Ring -- 3.2 LH1 → RC Energy Trapping -- 3.3 Charge Separation and Electron Transfer in RC -- 3.4 Carotenoid and Photo-Protection -- 4 Concluding Remarks -- References -- Composition, Organisation and Function of Purple Photosynthetic Machinery -- 1 General Introduction -- 2 Structural Components -- 2.1 Peripheral Antenna Complexes -- 2.1.1 Light-Harvesting Complex 2 -- 2.1.2 Light-Harvesting Complexes 3 and 4 -- 2.2 The Core Complex of Purple Bacterial Photosynthesis -- 2.2.1 Light-Harvesting Complex 1 -- 2.2.2 The Photochemical Reaction Centre -- 2.2.2.1 Quinones -- 2.2.3 Additional Core Complex Components -- 2.2.3.1 PufX -- 2.2.3.2 Protein W -- 2.2.3.3 The Gamma Subunit -- 2.2.4 Architectures of Core Complexes -- 2.3 Cofactors and Pigments -- 2.3.1 Carotenoids -- 2.3.2 Bacteriochlorophylls -- 2.3.3 Bacteriopheophytins -- 2.4 Cofactor-Cofactor and Protein-Protein Interactions -- 2.5 Assembly of Complexes -- 2.6 Spectroscopic Properties of Light-Harvesting Complexes -- 2.7 Cytochrome bc1 -- 2.8 ATP Synthase -- 2.9 Cytochrome c2 -- 3 Organisation and Assembly of Photosynthetic Membranes -- 3.1 Common Features of the Photosynthetic Membranes -- 3.2 Functional Importance of Photosynthetic Membrane Organisation -- 4 Energy Transfer -- 4.1 Transfer of Excitation Energy -- 4.2 Charge Separation in the RC -- 4.3 Electron Transfer in Cytochrome c2 -- 4.4 Modified Q Cycle -- 4.5 Proton Translocation and ATP Synthase -- 5 Calvin-Benson-Bassham Cycle -- References -- Redox Potentials of Quinones in Aqueous Solution: Relevance to Redox Potentials in Protein Environments -- 1 Introduction -- 2 Em for Quinones in Water and in Protein Environments. , 3 Alternative Approach for Calculating Em of Quinones and Other Cofactors -- References -- Photosynthesis in Chlamydomonas reinhardtii: What We Have Learned So Far? -- 1 Introduction -- 2 Photosynthetic Complexes Biogenesis and Regulation -- 2.1 Photosynthetic Genes Expression -- 2.2 Photosynthetic Pigments Biosynthesis -- 2.3 PSI Biogenesis and Functional Regulation -- 2.4 PSII Biogenesis and Functional Regulation -- 2.5 Photosynthetic Electron Transport -- 3 Concluding Remarks -- References -- Part II: Photosynthesis and the Environment -- Photosynthetic Performances of Marine Microalgae Under Influences of Rising CO2 and Solar UV Radiation -- 1 Introduction -- 2 Effects of Increasing CO2 Concentration and Declining pH -- 3 UV and Its Effect on Marine Photosynthetic Carbon Fixation -- 4 The Combined Effects of OA and UV Radiation -- 5 Perspectives -- References -- Acquisition of Inorganic Carbon by Microalgae and Cyanobacteria -- 1 Introduction -- 2 Rubisco and the Calvin Cycle Are Central Features of C Acquisition in All Cyanobacteria and Microalgae -- 3 Rubisco Also Has an Oxygenase Activity Which Leads to Inefficiencies in C Assimilation -- 4 Cyanobacteria and Microalgae Possess Mechanisms That Minimise the Effects of Unfavourable Rubisco Kinetics and Photorespiration -- 4.1 Evolution of Rubiscos More Favourable to the  Carboxylase Activity -- 4.2 CO2 Concentrating Mechanisms Increase CO2:O2 at the Rubisco Active Site -- 4.2.1 Biochemical CCMs -- 4.2.2 Biophysical CCMs -- 4.2.3 The Extent of CCM Activity -- 4.3 Heterotrophic Carbon Assimilation -- 4.3.1 Dark Carbon Fixation -- References -- Circadian Clocks in Cyanobacteria -- 1 Introduction -- 2 Kai-Based Oscillator -- 3 Synchronization with the Environment -- 4 Coordination of Cellular Activities -- 5 Conclusions -- References -- Iron Deficiency in Cyanobacteria. , 1 The Challenges of Iron Deficiency in Cyanobacteria -- 2 The Strategies for Adaptation to Iron Deficiency in Cyanobacteria -- 2.1 Retrenchment -- 2.2 Compensation -- 2.3 Acquisition -- 3 Important Iron-Deficiency Proteins in Cyanobacteria -- 3.1 IsiA -- 3.2 Fur -- 3.3 IdiA -- 3.4 PfsR -- 4 Conclusion -- References -- Adaptive Mechanisms of the Model Photosynthetic Organisms, Cyanobacteria, to Iron Deficiency -- 1 The Feature of Cyanobacterial Cell Wall -- 2 The Distribution of Cyanobacteria and Its Significance in Global Primary Productivity -- 3 The Indissoluble Bond Between Cyanobacteria and Iron -- 4 Existence Form and Availability of Iron -- 5 The Physiological Functions of Iron in Cyanobacteria -- 6 Iron Limitation Hypothesis -- 7 Physiological Response of Cyanobacteria to Iron Limitation -- 7.1 Photosynthesis -- 7.2 Respiration -- 7.3 Nitrogen Fixation -- 7.4 Oxidative Stress -- 8 Adaptative Strategies of Cyanobacteria to Iron Limitation -- 8.1 Biosynthesis and Secretion of Iron Chelators -- 8.1.1 Types of Siderophores -- 8.1.2 Siderophore Biosynthesis and Phylogenetical Distribution in Cyanobacteria -- 8.1.3 Siderophore Secretion and Uptake in Cyanobacteria -- 8.2 Induction of Protective Proteins Such as IsiA to Avoid Photooxidation of Photosystem I -- 8.3 Decrease Iron Demand and Maintain a Lower Metabolic Level -- 8.4 Increase of Iron Uptake Capacity and Balance Active and Passive Transport -- 8.4.1 Active Transport of Siderophore-Chelated Iron and Unchelated, Inorganic Iron (Fe′) -- 8.4.2 Passive Diffusion: Uptake of Inorganic Free Iron -- 8.5 Optimize Ferrous and Ferric Iron Transport -- 8.6 Development of Special Cell Surface Structure to Facilitate Iron Adhesion and Uptake -- 8.7 Reduce the Cell Size and Increase Specific Surface Area to Facilitate Passive Diffusion of Iron -- 9 Signal Transduction of Iron Deficiency in Cyanobacteria. , 9.1 The Global Regulator Fur -- 9.2 PfsR -- 9.3 Noncoding RNA -- 10 Outlooks on Cyanobacterial Adaptive Strategies to Marine Iron Limitation -- References -- The Roles of sRNAs in Regulating Stress Responses in Cyanobacteria -- 1 Introduction -- 2 Methods for Studying the Noncoding Transcriptomes of Cyanobacteria and Identifying Stress-Responsive sRNAs -- 3 sRNAs Involved in Stress Response Pathways -- 3.1 Light-Dependent Stress -- 3.2 Nitrogen Stress -- 3.3 Iron Homeostasis -- 4 Conclusions and Perspectives -- References -- Part III: Artificial Photosynthesis and Light-driven Biofactory -- Mimicking the Mn4CaO5-Cluster in Photosystem II -- 1 Introduction -- 2 Structure of the OEC -- 3 Mechanism for the Water-Splitting Reaction in the OEC -- 4 Challenge for the Synthesis of the OEC in Laboratory -- 5 Closer Mimicking of the OEC -- 6 Implications for the Mechanism of the Water-Splitting Reaction in OEC -- 7 Conclusion -- References -- Photosynthetic Improvement of Industrial Microalgae for Biomass and Biofuel Production -- 1 Introduction -- 2 Genetic and Biological Engineering of Photosynthesis in Microalgae -- 2.1 Photoprotection Mechanisms and Antenna Size -- 2.2 Manipulation of Antenna and Its Size -- 2.3 Engineering of PS Pigments -- 2.4 Delivery of Heterologous Proteins to the Plastids of Target Species -- 3 Photosynthesis and Lipids -- 3.1 Classification of Lipids -- 3.2 Storage Lipids in Microalgae: Triacylglycerol -- 3.3 Functional Lipids in Microalgae -- 3.3.1 Membrane Lipids for Photosynthesis -- 3.3.2 Polyunsaturated Fatty Acids (PUFAs) for Plant Defense -- 3.3.3 Carotenoids for Stress Response and Photosynthesis -- References -- Self-Assembly, Organisation, Regulation, and Engineering of Carboxysomes: CO2-Fixing Prokaryotic Organelles -- 1 Bacterial Microcompartments -- 1.1 The BMC Shells -- 1.2 The BMC Cargo Enzymes. , 2 CO2-Concentrating Mechanisms and CO2 Uptake Systems.
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  • 2
    facet.materialart.
    Unbekannt
    Copernicus GmbH
    In:  EPIC3Geoscientific Model Development, Copernicus GmbH, 13(7), pp. 3337-3345, ISSN: 1991-959X
    Publikationsdatum: 2023-06-21
    Beschreibung: 〈jats:p〉Abstract. Computation of barotropic and meridional overturning streamfunctions for models formulated on unstructured meshes is commonly preceded by interpolation to a regular mesh. This operation destroys the original conservation, which can be then artificially imposed to make the computation possible. An elementary method is proposed that avoids interpolation and preserves conservation in a strict model sense. The method is described as applied to the discretization of the Finite volumE Sea ice – Ocean Model (FESOM2) on triangular meshes. It, however, is generalizable to colocated vertex-based discretization on triangular meshes and to both triangular and hexagonal C-grid discretizations. 〈/jats:p〉
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , NonPeerReviewed
    Format: application/pdf
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  • 3
    Publikationsdatum: 2023-02-08
    Beschreibung: We present a new framework for global ocean- sea-ice model simulations based on phase 2 of the Ocean Model Intercomparison Project (OMIP-2), making use of the surface dataset based on the Japanese 55-year atmospheric reanalysis for driving ocean-sea-ice models (JRA55-do).We motivate the use of OMIP-2 over the framework for the first phase of OMIP (OMIP-1), previously referred to as the Coordinated Ocean-ice Reference Experiments (COREs), via the evaluation of OMIP-1 and OMIP-2 simulations from 11 state-of-the-science global ocean-sea-ice models. In the present evaluation, multi-model ensemble means and spreads are calculated separately for the OMIP-1 and OMIP-2 simulations and overall performance is assessed considering metrics commonly used by ocean modelers. Both OMIP-1 and OMIP-2 multi-model ensemble ranges capture observations in more than 80% of the time and region for most metrics, with the multi-model ensemble spread greatly exceeding the difference between the means of the two datasets. Many features, including some climatologically relevant ocean circulation indices, are very similar between OMIP-1 and OMIP- 2 simulations, and yet we could also identify key qualitative improvements in transitioning from OMIP-1 to OMIP- 2. For example, the sea surface temperatures of the OMIP- 2 simulations reproduce the observed global warming during the 1980s and 1990s, as well as the warming slowdown in the 2000s and the more recent accelerated warming, which were absent in OMIP-1, noting that the last feature is part of the design of OMIP-2 because OMIP-1 forcing stopped in 2009. A negative bias in the sea-ice concentration in summer of both hemispheres in OMIP-1 is significantly reduced in OMIP-2. The overall reproducibility of both seasonal and interannual variations in sea surface temperature and sea surface height (dynamic sea level) is improved in OMIP-2. These improvements represent a new capability of the OMIP-2 framework for evaluating processlevel responses using simulation results. Regarding the sensitivity of individual models to the change in forcing, the models show well-ordered responses for the metrics that are directly forced, while they show less organized responses for those that require complex model adjustments. Many of the remaining common model biases may be attributed either to errors in representing important processes in ocean-sea-ice models, some of which are expected to be reduced by using finer horizontal and/or vertical resolutions, or to shared biases and limitations in the atmospheric forcing. In particular, further efforts are warranted to resolve remaining issues in OMIP-2 such as the warm bias in the upper layer, the mismatch between the observed and simulated variability of heat content and thermosteric sea level before 1990s, and the erroneous representation of deep and bottom water formations and circulations. We suggest that such problems can be resolved through collaboration between those developing models (including parameterizations) and forcing datasets. Overall, the present assessment justifies our recommendation that future model development and analysis studies use the OMIP-2 framework.
    Materialart: Article , PeerReviewed
    Format: text
    Format: text
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