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Progression of GTL Science Milestones and Technologies |
Conceptual Science Roadmaps for Natural Systems | ||
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Oceans: Photosynthetically Driven Biological Pumps for Carbon and Energy in Aquatic Systems |
Terrestrial: Microbes in Ecological Communities, |
Deep Subsurface: Microbial Community Processes for Mitigation of Toxic |
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Milestone 1: Determine the Genome Structure and Potential of Microbes and Microbial Communities Production and Characterization of Proteins and Molecular Tags Characterization and Imaging of Molecular Machines |
Single-cell and environmental community sequence Heterotrophs, autotrophs, viruses, and "twilight zone" organisms Comparative analyses of rhodopsin, hydrogenase genomes Gene synthesis and manipulation |
Single-cell and community sequence in situ and in vitro Organisms related to processes in soils Genome annotation |
Single-cell and community sequence in situ and in vitro to identify members, functions Superannotation, genome plasticity effects Metagenomics, gene transfer Tags to ID microbes, proteins, metabolites |
Milestone 2: Develop a Systems-Level Understanding of Microbial and Community Function and Regulation Whole Proteome Analysis Analysis and Modeling of Cellular Systems |
Photosynthesis, transporters, biomineralization Proteins, machines, metabolites, and functional assays Systems responses Imaging |
All GHGs: CO2, methane, nitrous oxide, dimethyl sulfide Molecular inventories vs cues Systems interactions with soil, rhizosphere, plants: Inputs and outputs (e.g., stable isotope probes) Proteome and metabolome imaging at cellular and community levels |
Community structure and relationship to function Pathways and networks: Mechanisms of intercellular communication and function Stoichiometry and kinetics of intercellular fluxes |
Milestone 3: Develop the Knowledgebase, Computational Methods, and Capabilities to Advance Understanding of Complex Biological Systems and Predict Their Behavior GTL integrated computational environment for biology |
Modeling of climate-based and mitigational perturbations Individual and multiple life-scale models (cellular, community, ecosystem): Metabolic budgets Multiple photosynthetic processes |
Modeling of microbial responses to manipulation of plant inputs into carbon cycle Human inputs directed to soils Response to environmental change understood |
Four-dimensional reactive transport models based on genomic, geochemical, and hydrological data Scaling of processes through molecular, cellular, community, and environmental levels; and molecular to long time scales |
Missions Outputs Measure environmental responses via sensors |
Ecogenomics of sentinel organisms Cellular, community, and ecosystem biochemical assays Accompanying environmental assays |
Biomarkers: RNAs, proteins, metabolites, signaling Ecogenomics, functional assays, environmental conditions Carbon and nutrient inventories |
Biology and geochemistry: DNA, RNA, proteins, metabolites, geochemical from single-cell to field scales Mesoscale simulation of field conditions Regulatory levels of contaminants |
Robust Science Base for Policy and Engineering |
Natural behaviors of ocean ecosystems, impact on and of climate change scenarios incorporated into IA models Assessment of efficacy and impacts of intervention strategies |
Biological processes for carbon and nitrogen cycling, impact on and of climate change scenarios incorporated into IA models Assessment of potential and strategy for terrestrial carbon sequestration |
Predictions of transport and fate Assessment of need for remediation Remediation strategies, designs, and tests |