Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National...

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Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University
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Page 1: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Sequencing All of Microbial Life: Challenges and Opportunities

Rob Edwards

Argonne National LaboratorySan Diego State University

Page 2: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Firstbacterial genome

100bacterial genomes

1,000bacterial genomes

Num

ber

of

know

n s

equence

s

Year

How much has been sequenced

Environmentalsequencing

Page 3: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Everybody inToronto

Everybody inNorth America

AllculturedBacteria

100people

How much will be sequenced

One genome fromevery species

Most majormicrobial environments

Page 4: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Rank Abundance Curves, Papers vs Genomes

• Microbial publications vs Genomes by Family

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Page 5: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

16S Abundance -- Human Intestine

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Page 6: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

16S Abundance -- Upland Pasture Soil

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Page 7: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Environmental Genomics -- Wisconsin Soil

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Page 8: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Line Island Metagenomics Transect

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Page 9: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Environmental Genomics -- Whale Fall

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Page 10: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

There are big gaps in sequence space• 6,400 total taxa

• About 380 are human, animal or plant pathogens

• 360 complete prokaryotic genomes published

• 56 archaeal and 940 bacterial genomes in progress– ~400 are pathogens

• Approximately ~5,000 prokaroytes not yet in play– We estimate about 4,800 non-pathogen taxa

Page 11: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

The Bergey’s Manual

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David H. Bergey

Page 12: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Strain Distribution in CollectionsUS Collections / BRCs Strains American Type Culture Collection (ATCC) 4027 USDA ARS Collection (NRRL) 223European Collections

Deutsche Sammlung vor Microoransmen (DSMZ) 1302Culture Collection University Gottenberg (CCUG) 183Pasteur Institute (CIP) 170Laboratory for Micrbiology, Gent (LMG) 101National Collection of Industrial and

Marine Bacteria 25French Collection of Phytopathogens (CFPB) 15National Collection of Type Cultures (NCTC) 12National Collection of Phytopathogenic

Bacteria 11Asia

Japan Collection of Microorganisms (JCM) 185Institute of Fermentation, Osaka (IFO) 34Korean Collection of Type Cultures (KCTC) 28Institute of Applied Microbiology, Tokyo (IAM) 26National Institute of Technology

And Evaluation (NBRC) 24All-Russian Collection of Microorganisms (VKM) 13

Page 13: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Estimated Sequencing RatesYear 2007 2008 2009 2010 2011 2012 2013 2014 Notes

Base Pairs per dollar 200 300 450 675 1,013 1,519 2,278 3,417 50% improvement per year

Bacterial Genome Cost in $ 20,000 13,333 8,889 5,926 3,951 2,634 1,756 1,171 ~4M bp per genome

Number Genomes for $5M 250 375 563 844 1,266 1,898 2,848 4,271Cumulative Genomes Sequenced 250 625 1,188 2,031 3,297 5,195 8,043 12,314

TargetSelection

TypeCulture Material

SequencingAssembly

RapidAnnotation(24 Hours)

MetabolicReconstruction

PhenotypeMicroarrays

Page 14: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Target Selection

http://www.sequencingbergeys.org

Page 15: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Microbial Idol

Page 16: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

>2,000 different media

Physical Conditions: • Temperature (4° - 120°C) • pH (1.0 - 11.0)• Salt (0 - 30%)• Light (obligate phototrophs• Pressure (few obligate piezophiles)• Redox:

Strict anaerobes Facultative Microaerobes Aerobes

Culturing by ATCC

Page 17: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Phenotyping by Biolog

Carbon Pathways

Nitrogen Pathways

Sensitivity to Chemicals

Osmotic &Ion Effects

pHEffects

Biosynth.

Pathways

P

SN

Page 18: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Sequencing by JGI

FY 06: # InstrumentsSanger: 107454: 1

FY 07: # InstrumentsSanger: 107 454: 2

35.4 Gb

45 Gb goal

Page 19: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

• Automated process consisting of:– Gene calling– Initial annotation of

function– Initial metabolic

reconstruction

• Process takes 1-7 hours depending on size and complexity of the genome

• ~20 genomes per day

Rapid Annotation Using Subsystems Technology

http://www.nmpdr.org/anno-server/index48.cgi

Page 20: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Evaluation / Viewing

Page 21: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Feedback

TargetSelection

Sequencing

AnnotationMetabolic

Reconstruction

Phenotyping

Page 22: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Status

• 100 organism pilot - GEBA underway

• Requesting funding/approval for remainder

• Target selection about to go live

Page 23: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

PeopleJGI Jim Bristow Jonathan Eisen Phil Hugenholtz Nikos Kyrpides Paul Richardson David Bruce

MSU Jim Cole George GarrityU GA Barney WhitmanUIUC Gary Olsen

ATCC David Emmerson Tim LilburnBiolog Stacy Montgomery John Groat

ANL Rick Stevens Folker Meyer Ross Overbeek Veronika VonsteinHope Matt DeJongh

Page 24: Sequencing All of Microbial Life: Challenges and Opportunities Rob Edwards Argonne National Laboratory San Diego State University.

Technical Feasibility FAQ• How many genomes would the project propose to sequence?

– About 5000• Who would produce the biomass needed for DNA extraction?

– Type culture centers• Will the biomass/DNA be available for distribution?

– Yes, both the DNA and the libraries could be stored for distribution• What throughput is needed for DNA production?

– In the beginning of the project ~300 taxa per year to 2000 per yr at the end• What throughput is needed for sequencing?

– 1.2 Gb/yr to 8 Gb/yr finished sequence• What combinations of sequencing technologies need to be employed?

– Sanger and Pyrosequencing initially• What throughput is needed for annotation?

– 24 hour turnaround from assembled sequence to initial availability• Is is possible to have a standard set of phenotype assays given the broad

spectrum of organisms and conditions?– We are considering Biolog as a model, but it is too limited

• How would the genomes be selected and prioritized?– At each cycle we choose genomes (e.g. via 16s) to minimize the diversity gaps

• Is it necessary to “close” the genomes?– We think no.