Microbiome: Metabolomics

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Presentation transcript:

Microbiome: Metabolomics 4/6/2018

Meta-’-Omic Approaches for Microbiome Analysis “Metataxonomics”: What is the composition? Use marker genes (e.g. 16S rRNA) Metagenomics: What is the composition and functional potential? Metatranscriptomics: What genes are collectively expressed? Metabolomics: What metabolic byproducts are produced?

Why Metabolomics? Metagenomics enables the prediction metabolites (based on what enzymes are present)…and metabolomics enables the quantification/identification of metabolites through direct measurements Provides a good measure of phenotype and biochemical activity

? Metabolomics “Beyond” (Entire Community)

Metabolites Meta-Metabolomics “Beyond” (Entire Community)

Terminology Metabolism: Network of chemical reactions How a cell extracts energy from its environment How a cell synthesizes its “building blocks”

Terminology Metabolite: Chemical compounds used in metabolism Amino acids, glucose, acetate, lactate, etc. Metabolome: Metabolites that are produced/used by cells

Common Challenges Like metagenomics, metabolomics analyzes a broad range of features (metabolites instead of microbes)…but these features are even broader! Small, hydrophilic carbohydrates (e.g. glucose) – Large, hydrophobic lipids (e.g. triacylglycerides) – Complex, natural compounds (e.g. antibiotics) Different sizes, charge, composition Many metabolites are not in databases…because our picture of cellular metabolism is incomplete Identification of novel metabolites is difficult

Intra- vs. Extra-cellular Can perform intra-cellular metabolomics, but it’s a lot simpler to perform extra-cellular metabolomics (exometabolomics) Just look at the (spent) medium! What did the microbes secrete/take up?

Targeted vs. Untargeted Untargeted: Global metabolite profiling → What metabolites are there? Qualitative Measure a lot of metabolites as once (“all” of the metabolites in the sample) Targeted: Measure a specific set of metabolites Quantitative

Workflow 1. Separate: chromatography 2. Detect: mass spectrometry, NMR (Nuclear Magnetic Resonance) UV (Ultraviolet-Visible) or IR (Infrared) Spectroscopy, Flame Ionization 3. Analyze: bioinformatics

Chromatography Can separate by size, charge GC vs LC: Gas vs Liquid Chromatography

Detection Methods Need to carefully select your detection platform(s) Many complementary, analytical trade-offs Experimental reagents, sample manipulation, etc. impact your results

Detection Methods LC/MS NMR Separation required (sometimes multiple chromatographic methods) Can resolve and quantify individual metabolites in complex mixtures Biased against volatile metabolites High sensitivity and dynamic range Limited capacity for quantification No separation required Limited ability to resolve complex mixtures Low(er) sensitivity Absolute quantification of metabolites

Detection Methods LC/MS GC/MS Separation required (sometimes multiple chromatographic methods) Can resolve and quantify individual metabolites in complex mixtures Biased against volatile metabolites High sensitivity and dynamic range Limited capacity for quantification Separation required Can quantify volatile and uncharged metabolites, isomeric compounds (e.g. sugars, lipids) Absolute quantification of metabolites

Some media are less amendable to metabolomics Isotopic tracers/labels High salt concentrations mess up chromatography columns Isotopic tracers/labels