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Microbial MetabolismSystems Microbiology
Ching-Tsan Huang (黃慶璨)Office: Agronomy Hall, Room 111Tel: (02) 33664454E-mail: [email protected] MIT OCW
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Systems Microbiology aims to integrate basic biological information with genomics, transcriptomics, metabolomics, glycomics, proteomics and other data to create an integrated model of how a microbial cell or community functions. (Nature Review Microbiology)Systems Microbiology seeks to identify how microbial functions evolve and how emergent properties in cells and communities arise from seemingly simple, linear genetic sequences.
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Source: U.S. Department of Energy Genome Programs http://genomics.energy.gov.
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Source: U.S. Department of Energy Genome Programs http://genomics.energy.gov.
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Why Systems Microbiology?
Microbial systems are important and ideal models
Microbes offer important lessons about all life forms
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Disciplines Involving Systems MicrobiologyMicrobiologists,Biochemists,Evolutionary biologistsMathematicians,Computer scientists,Physicists,Chemists,Control theorists,Systems engineers,Geochemists,Atmospheric chemists,Chemical and physical oceanographers,Earth scientists, andBiostatisticians.
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Potential Applications of Systems Microbiology
AgriculturesMedicinesNovel energy production systemsMetabolic engineeringBiocontrolPollution and bioremediationBioterrorism and decontaminationMicrobiological detection systemsGlobal monitoring
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Integrated Systems Microbiology
Microbiology
Computer Science
ChemistryEcology
Mathematics
Molecular Evolution
Microbial - Host System
Multi-Disciplinary
Biocontrol/ Bioremediation
Drug Discovery Antibiotic Resistance DiagnosticsVaccines
• Environmental• Industrial Bioreactors
BioenergyBiosensors
Genetics
•Biomedical
10Utilization of Microbial Inoculants to Promote Sustainable Agriculture
Phytostimulation
Production of IAAACC deaminaseIncrease rooting Increase Nitrogen
uptakeReduced fertilizer
usageReduced nitrate
pollution
Biofertilization
Nitrogen fixationPhosphate solubilizationReduced fertilizer usageReduced water pollution
Antimicrobial MetabolitesReduced pathogensReduced diseaseReduced fungicide usage
Biocontrol
Nutrients
SignalsPrimary metabolismSecondary metabolism
Gene expression
Primary metabolism
Secondary metabolism
Microbial Cell Factory
Bioremediation
Clean-up ofcontaminated
soils
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An Integrated Systems Biology Approach to Elucidating the Nature of Molecular Signalling in Microbial-Host Interactions
Environmental signalsMicrobial signalsQuorum sensing
Signalling and regulatory circuits
Eukaryotic Host cells in culture
Pseudomonas aeruginosa
Secondary metabolitesSignal molecules Biofilm formation
Planktonic cells
CytokinesHost signals
Overall Aim:
To establish the importance of microbial and host signalling in determining the outcome of microbial-host interactions.
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From Metagenomes to Ecosystem Functioning
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Strain-resolved proteomics from environmental samples
14From Proteins to Environments
15From Proteins to Environments
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Experimental Approaches in Systems Biology
Sequencing technologiesA capillary-based Sanger method on sequencing platforms.Massively higher throughput, such as 454 pyrosequencing, SOLiD and Solexa
DNA microarrays and high-throughput sequencingSlides containing spatially organized DNA probes with known sequences for the identification and quantification of fluorescently labelled nucleic acids samples.
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Next Generation Sequencing
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microRNA profilingSmall RNA sequencing
Discovery of infectious and commensal floraMetagenomic sequencing
Discovery of inherited and acquired structural variationPaired end sequencing
Targeted polymorphism and mutation discovery
Targeted genomic resequencing
Large-scale polymorphism discovery
Reduced representation sequencing
Comprehensive polymorphism and mutation discovery in individual human genomes
Complete genome resequencing
Examples of applicationsCategory
Applications of Next Generation Sequencing
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Multiplex sequencing of samples from multipleindividualsMolecular barcoding
Nucleosome positioningNuclease fragmentation and sequencing
Genome-wide mapping of protein-DNA interactions
Chromatin immunoprecipitation–sequencing (ChIP-Seq)
Determining patterns of cytosine methylation in genomic DNA
Sequencing of bisulfite-treated DNA
Quantification of gene expression and alternative splicing; transcript annotation; discovery of transcribed SNPs or somatic mutations
Transcriptomesequencing
Examples of applicationsCategory
Applications of Next Generation Sequencing
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Experimental Approaches in Systems Biology
Proteomics technologies• Mass spectrometry (MS)-based approaches for
identification• Array-based platforms
Metabolomics technologies• Powerful and accurately predictive approaches • Bench-scale assays to high-throughput methods
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Evolution of mass spectrometry-based proteomics from microbial isolates to communities
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LC/MS-based Proteomics
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Mass Spectrometry
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Matrix-assisted laser desorption/ionization-based resequencing
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Technical Challenges In Systems Microbiology
Technical bottlenecksSingle cell measurementsIdentifying and accurately measuring metabolitesCultivationData accessibilityComputational limitationsAnnotation and functional characterization of genesProteomicsHigh-throughput technologies
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Tracking and segmenting single cells
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Technical Challenges in Systems Microbiology
Information and data gaps Acquiring information and dataAssuring data qualityMaking systems data applicable and availableA proposal for a systems microbiology database
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Information and Data Gap
Continued genome sequencingData on the functions of the proteins or nucleic acids encoded by these sequencesAccurate gene annotationAccurate quantitative information on a variety of biological parametersData that indicate spatiotemporal relationships between system components
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Information and Data GapData on community architectureData that can reveal design principles and biological networksData that expand the phenotypic characterizations of cells and communitiesData on the natural variability of microbial systemsData on cell cycle or spatial events
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Research in Systems Microbiology
Regulation of biological systemsApplying a systems biology approach to microbial communitiesHypothesis-generating researchMeasuring noise in biological systems
33Convergence of systems and synthetic biology
34Reconstruction, validation and utilization of a metabolic reconstructi
35Phases and data used to generate a metabolic reconstruction
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Procedure to generate a biomass objective function
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Network integration: the interface between different types of reconstruction
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Reconstruction of transcriptional and translational networks
39Timeline of events that resulted in the development of systems biology and synthetic biology
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