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Advancing Science with DNA Sequence. Microbial Community Genomics at the JGI. Susannah Green Tringe, PhD JGI Metagenome Program Lead. Talk outline. Metagenomics background and history JGI Metagenome Program Organization Project portfolio JGI Science: Wetlands metagenomics. Talk outline.
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Advancing Science with DNA Sequence Microbial Community Genomics at the JGI Susannah Green Tringe, PhD JGI Metagenome Program Lead
Talk outline • Metagenomics background and history • JGI Metagenome Program • Organization • Project portfolio • JGI Science: Wetlands metagenomics
Talk outline • Metagenomics background and history • JGI Metagenome Program • Organization • Project portfolio • JGI Science: Wetlands metagenomics
Isolate (pure culture) Microbial community Genomics Metagenomics What is metagenomics?
Why metagenomics? • Vast uncultivated phylogenetic diversity hints at a potential reservoir of untapped functional diversity • Ecologically important processes • nutrient cycling • Pharmacologically valuable compounds • antibiotics • Industrially useful enzymes • cellulases
Metagenomics Sargasso Sea Soil Acid mine 1 10 100 1000 10000 Species complexity ?
A Environmental Gene Tags (EGTs) Adaptive gene for habitat A Adaptive gene for habitat B Essential gene B
Comparative metagenomics Tringe et al 2005
COG5524: Bacteriorhodopsin COG1292: Choline- glycine betaine transporter COG3459: Cellobiosephosphorylase Tringe et al 2005
Talk outline • Metagenomics background and history • JGI Metagenome Program • Organization • Project portfolio • JGI Science: Wetlands metagenomics
User Programs Plants Fungi Microbes Metagenomes
2011- one super program • Science Programs • J. Bristow
JGI sequence output 30 Tb 2012 projected: 47.1 Tb 40 Gb Sequence output (Gb) Fiscal Year
Feedstock improvement Biomass degradation Fuels synthesis Poplar (Science) Sorghum bicolor (Nature) Switchgrass Miscanthus Pinustaeda Foxtail millet Brachypodiumdistachyon Trichodermareesei (PNAS) Postia placenta (PNAS) Termite gut (Nature) Cow rumen (Science) Leaf cutter ant garden Shipworm mollusk T. ethanolicus Pichiastipitus Biogas bioreactor Mixed alcohols bioreactor Butanol producing E coli Genomics for Bioenergy Biomass Cellulose Sugar CO2 Plants Pre-treatment Enzymes Microbes
Termite metagenome Warnecke et al Nature 2007
Biogeochemistry and bioremediation Enhanced Biological Phosphate Removal Sludge (Nat Biotech) Anammox bioreactors (EnvMicrobiol) Terephthalate degrading community (ISME) Gulf oil spill (ISME)
Terephthalate-degrading community Lykidis et al, ISME 2011
Carbon Cycling & Environment Permafrost metagenome (Nature) Wetlands metagenome Prairie soil metagenome Deep subsurface ecosystem Picoprymnesiophytes Lake Washington Methylotrophs (Science) (PNAS) (Nat Biotech)
Talk outline • Metagenomics background and history • JGI Metagenome Program • Organization • Project portfolio • JGI Science: Wetlands metagenomics
Why study wetlands? Wetlands store a lot of carbon (IPCC, 2000) …but their sequestration potential is uncertain (USGS, 2010)
Wetland “carbon farming” CO2 CH4 O2 Lisamarie Windham-Myers
Major microbial processes in wetland sediments • Plant biomass decomposition • Denitrification • Mn(IV) reduction • Fe(III) reduction • Sulfate reduction • Methanogenesis • Methane oxidation (aerobic or anaerobic) How do these processes impact “carbon farming”? Laanbroek, Annals of Botany
Sampling site gradients A B C/L Site Methane flux Water inlet Does microbial community composition change with nutrient gradients, primary production and methane release? Water outflow Peat accretion Oxygen, Nitrate, Sulfate
Sample Collection Caffrey & Kemp 1991
Sequencing strategy Community composition Shotgun Metagenome Functional analysis Illumina shotgun sequencing 454 Titanium Pyrotag sequencing
Wetland microbial communities February 2011 Site B Medium biomass accumulation -Similar results in August -Sampling site is major driver of community composition -Sample type is next largest factor -Depth effect is subtle Site L High biomass accumulation Site A Low biomass accumulation Shaomei He
Indicator OTUs MethanoregulaOTU DechloromonasOTU A, B, L Archaealmethanogen Correlates with CH4 production 170X coverage in one metagenome dataset Denitrifying Betaproteobacterium Correlates with nitrate abundance A RhizobialesOTU A Crenarchaeotasubphylum 2OTU Rhizome Bulk Alphaproteobacterium Known plant-associated bacteria Uncharacterized crenarchaeote Shaomei He
Metagenome Sequencing and Assembly Shotgun data Contigs Assembly Singlets • More complex community, less assembly Shaomei He
Relative gene family abundances Samples with more methanogenesisgenes have less dissimilatorysulfate/nitrate reduction genes Methane oxidation genes were more abundant in rhizomes Shaomei He
Metagenome assembly Alphaproteobacteria ~850X Methanoregula ~170X G+C content Clostridia Draft methanogen genome 5 50 100 500 1000 10 Average read depth
Single-copy phylogenetic marker COGs in finishedMethanomicrobial genomes Wetland OTU M. boonei High coverage and low redundancy of the draft genome
Methanogenesis Pathways Acetoclastic Hydrogenotrophic Methylotrophic Red: present in wetland Methanoregula Grey: absent in wetland Methanoregula
Conclusions Metagenomics provides a means to study uncultivated communities of microbes Recent advances in sequencing technologies allow us to explore these communities at unprecedented depth Complex communities found in soils and sediments still present significant challenges to genome reconstruction Appropriate library construction, sequencing and analysis methods enable greater functional insight into complex communities