creating a “synthetic” bacterial cell john glass the j. craig venter institute, rockville, md...
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Creating a “Synthetic” Bacterial Cell
John GlassThe J. Craig Venter Institute,
Rockville, MD and San Diego, CA
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Self-Replicating Machine
NASA Conference Publication 2255 (1982), based on the Advanced Automation for Space Missions NASA/ASEE summer study Held at the University of Santa Clara in Santa Clara, California, from June 23-August 29, 1980
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Self-Replicating Machine
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For our purposes, we
define a synthetic cell as one that operates off of a chemically synthesized
genome
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A computer analogy -- the genome of a cell is the operating system & the cytoplasm is the
hardware
The cytoplasm is the hardware that runs the operating system.
The chromosome is the operating system.
• The cytoplasm contains all of parts (proteins, ribosomes, etc.) necessary to express the information in the genome.
• The genome contains all information necessary to produce the cytoplasm and cell envelope and to replicate itself.
• Each is valueless without the other.
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Assemble cassettes by homologous recombination
Assemble overlapping synthetic DNA oligonucleotides(~60 mers)
Completely assembled synthetic genome
Approach used to synthesize a bacterial cell
Cassettes (~1 kb)
Recipient cell Synthetic cell
GenomeTransplantation
Genome Synthesis
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Mycoplasma capricolum Mycoplasma mycoides
RECIPIENT CELLSgDNA DONOR
Science August 2007
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Science February 2008
1/25 1/8 1/4 Whole
42 43 44 45
6kb 72kb 144kb 580kb24kb
50-77B50-77A
Yeast Vector
yeast
yeastE. coliChemicalSynthesis
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RECIPIENT CELLSgDNA DONOR
Yeast
Mycoplasma capricolum Mycoplasma mycoides
Science August 2009
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Science May 2010
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Design
Codon Opt.
Oligo Synthesis
Synthetic Organism Designer 1.0
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Tomography
Cells are complex machines with thousands of moving parts
Mycoplasma pneumoniae from Proteome organization in a genome-reduced bacterium. Kuhner et al. 2009 Science 326: 1235-40
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Tomography
Cells are 25-50% Dark Matter
Hypothetical Proteins
Small Peptides of unknown function Small RNAs of
unknown function
Epigenetic Modifications
Moonlighting Proteins
?
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We consider a bacterial cell to be minimal if it contains only the genes that are necessary and sufficient to ensure continuous growth under ideal laboratory conditions.
What do we mean by “minimal bacterial cell”?
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Why make a minimal cell• To define a minimal set of genetic functions essential
for life under ideal laboratory conditions.
• To discover the set of genes of currently unknown function that are essential and to determine their functions.
• To have a simple system for whole cell modeling.
• To modularize the genes for each process in the cell (translation, replication, energy production, etc.) and to design a cell from those modules.
• To build more complex cells by adding new functional modules.
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We chose to minimize Mycoplasma mycoides JCVI-syn1.0 the synthetic version of Mycoplasma mycoides because:
•It has a small genome (1.08 MB).
•It can be readily grown in the laboratory.
•We can routinely chemically synthesize its genome and clone it in yeast as a YCp.
•We can isolate the synthetic genome out yeast as naked DNA and bring it to life by transplanting it into a recipient mycoplasma cell.
•We have developed a suite of tools to genetically engineer its genome.
What bacterial cell will we minimize?
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Gibson et al., 2010Science 329, 52-56
Synthesis of the Mycoplasma mycoides JCVI-syn1.0 Genome
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There are 2 ways to minimize
TOP DOWN: Start with the full size viable M. mycoides JCVI syn1.0 synthetic genome. Remove genes and clusters of genes one (or a few) at a time. At each step re-test for viability. Only proceed to the next step if the preceding construction is viable and the doubling time is approximately normal.
BOTTOM UP: Make our best guess as to the genetic and functional composition of a minimal genome and then synthesize it. Craig Venter calls this the Hail Mary genome.
Our starting point for minimization is the synthetic genome M. mycoides JCVI-syn1.0
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For both approaches, we need to identify genes that are non-essential and are therefore candidates for removal. We are doing this in three ways.
1.Identify genes with functions that are usually non-essential such as IS elements, R-M systems, integrative and conjugative elements, etc.
2.Perform global transposon mutagenesis to identify individual genes that can be disrupted without loss of viability.
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Tn5- puromycin global mutagenesis of M. mycoides•Illumina sequencing yielded 10,902 unique insertion sites
•754 genes hit, 160 not hit.
So many genes are hit because there is extensive functional redundancy.
For example, there are 2 rRNA operons and only one is necessary.
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Top down approach: Stepwise genome reduction
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Top down approach: Stepwise genome reduction
M. mycoides wild type 1089 kb
M. mycoides JCVI-syn 1.0 1079 kb
M. mycoides JCVI-syn 1.0 – 6RM(12 genes, 17 kb) 1062 kb
M. mycoides JCVI-syn 1.0 – 6RM(12 genes, 17 kb) – 6 IS (12 genes, 9 kb) 1051 kb
M. mycoides JC syn1.0 – 6RM(12 genes, 17 kb) – 6 IS (12 genes, 9 kb) – ICE (44 genes, 71 kb) 980 kb
M. mycoides JC syn1.0 – 6RM(12 genes, 17 kb) 928 kb – 6 IS (12 genes, 9 kb) – ICE (44 genes, 71 kb) – D5 deletions (52 kb)
We plan to continue removing the large clusters, testing for viability at each step. After that, small clusters and individual non-essential genes will be removed to arrive at the minimal genome.
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The bottom up approach
Use the Tn5 transposon single gene disruption by insertion map data and our knowledge of essential functions in the cell to make the best guess as to which genes to include in a minimal genome.
Design and synthesis of a “Hail Mary” genome
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“Hail Mary Deletions” mapped onto M. mycoides JCVI-syn1.0
West Coast Design
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16,000 oligos (70 bases)↓
370 stage-1 assemblies (1.4 kb)↓
74 stage-2 assemblies (6.7 kb)↓
8 stage-3 assembles (50-75 kb)↓
483 kb Minimal Genome
“Hail Mary” Minimal Genome Construction
1/8th molecules can be
individually tested for
functionality and mixed with subsequent
designs
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KEEP DELETEAmino acid biosynthesis 0 4Biosynthesis of cofactors 9 2Cell envelope 28 92Cellular processes 3 8Central intermediary metabolism 7 8DNA metabolism 32 32Energy metabolism 28 35Fatty acid and phospholipid metabolism 7 6Hypothetical proteins 59 110Mobile and extrachromosomal element fcns 0 14NULL (tRNAs, rRNAs, RNAs) 49 0Protein fate 22 23Protein synthesis 107 8Purines 19 7Regulatory functions 9 8Signal transduction 3 14Transcription 14 4Transport and binding proteins 35 33Unknown function 21 47Yeast vector and markers 4 0___________________________________________________________TOTAL 457 455
Hail Mary Genes by functional category
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Design of a modular genome
Can genes within individual functional categories be clustered into modules?
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9
4
2
2
5
Can all 30 tRNA genes of M. mycoides be organized in one module?
Key promoter terminatortRNA gene
tRNA gene clusters are enlarged to show the direction of transcription. JCVI-syn 1.0 has 8 single tRNA genes and 5 clusters of 2 to 9 genes, for a total of 30.
M. mycoides JCVI-syn 1.0
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Moving life into the digital world and back
Our capacity to build microbes capable of solving human problems is limited only by our imagination
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Possible future uses of synthetic & engineered species
• Increase basic understanding of life
• Increase the predictability of synthetic biological circuits
• Become a major source of energy
• Replace the petrol-chemical industry
• Enhance bioremediation
• Materials science – expand biology’s use of the periodic table
• Drive antibiotic and vaccine discovery & production
• Gene therapy via stem cell engineering
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It Takes a Village to Create a Cell
Funding fromDARPA Living Foundries Synthetic Genomics Inc.
DOE GTL program
Algire, Mikkel Alperovich, Nina Assad-Garcia, Nacyra Baden-Tillson, HollyBenders, Gwyn Chuang, Ray-YuanDai, Jianli Denisova, EvgeniyaGalande, Amit Gibson, Daniel Glass, JohnHutchison, ClydeIyer, Prabha Jiga, Adriana Krishnakumar, Radha Lartigue, Carole•Ma, Li
•Merryman, Chuck •Montague, Michael •Moodie, Monzia •Moy, Jan •Noskov, Vladimir•Pfannkoch, Cindi•Phang, Quan •Qi, Zhi-Qing •Ramon, Adi•Saran, Dayal•Smith, Ham •Tagwerker, Christian•Thomas, David•Tran, Catherine •Vashee, Sanjay•Venter, J. Craig •Young, Lee•Zaveri, Jayshree
•Johnson, Justin•Brownley, Anushka•Parmar, Prashanth•Pieper, Rembert•Stockwell, Tim•Sutton, Granger•Viswanathan, Lakshmi•Yooseph, Shibu
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DNA synthesis is getting easier, faster, and cheaper
Do
llars
per
bas
epai
r
Year
$0.15 / bp
Agilent