Difference between revisions of "Team:Yale/project"

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       <h2 id="mage">Multiplex Automated Genome Engineering (MAGE) in <em>Escherichia coli</em></h2>
 
       <h2 id="mage">Multiplex Automated Genome Engineering (MAGE) in <em>Escherichia coli</em></h2>
       <h3>Mutate. Grow. Screen. Repeat.</h3><img src="http://client.cameronyick.us/igem/assets/img/project/overview_1.jpg" class="overview_body">
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       <h3>Mutate. Grow. Screen. Repeat.</h3><img src="https://2015.igem.org/File:Overview_1.jpg" class="overview_body">
 
       <p>Multiplex automated genome engineering (MAGE) is an iterative, oligonucleotide-mediated genetic manipulation developed by the George Church lab at Harvard Medical School in 2009 (Wang et al. 2009). The technique relies on the introduction of degenerate (randomized) ssDNA oligos into a bacterial cell. The oligos are designed with 30-45 bp homology arms that are complimentary to the target sequence in the cell's genome up- and downstream of the degenerate sequence. Phage homologous recombination proteins <em>Gamma, Exo, </em>and<em> Beta</em> (Lambda-Red cassette) are induced, and allow the oligo to anneal to the lagging target strand as the cell's chromosome separates into single strands for replication (Gallagher et al. 2014). Desirable genotypes are then selected based upon a phenotypic change in cell populations. MAGE can be used to optimize biosynthetic pathways which are then selected for based on a desirable phenotype.</p>
 
       <p>Multiplex automated genome engineering (MAGE) is an iterative, oligonucleotide-mediated genetic manipulation developed by the George Church lab at Harvard Medical School in 2009 (Wang et al. 2009). The technique relies on the introduction of degenerate (randomized) ssDNA oligos into a bacterial cell. The oligos are designed with 30-45 bp homology arms that are complimentary to the target sequence in the cell's genome up- and downstream of the degenerate sequence. Phage homologous recombination proteins <em>Gamma, Exo, </em>and<em> Beta</em> (Lambda-Red cassette) are induced, and allow the oligo to anneal to the lagging target strand as the cell's chromosome separates into single strands for replication (Gallagher et al. 2014). Desirable genotypes are then selected based upon a phenotypic change in cell populations. MAGE can be used to optimize biosynthetic pathways which are then selected for based on a desirable phenotype.</p>
 
       <p>MAGE can be used to create insertions and mismatches of up to 12 bp per cycle, and deletions of up to 1 kb per cycle (Gallagher et al. 2014). Each cycle, which involves introducing degenerate oligos into cells via electroporation, inducing the Lambda-Red cassette, and growing transformed cell populations, takes approximately 2.5 hours; thus, a highly diverse population of cells resulting from multiple MAGE cycles can be created in a matter of days. Since mutations created by MAGE rely upon DNA mismatches in the chromosome to go unnoticed, <em>mutS</em>-deficient <em>E. coli </em>strains are used when executing MAGE cycles. <em>mutS</em> is a highly-conserved gene in the DNA mismatch repair pathway whose associated protein is responsible for identifying and marking single-base mismatches after replication (Culligan et al. 2000). ∆<em>mutS</em> cell populations demonstrated increased mutagenesis efficiency per MAGE cycle; thus, creating cell populations deficient in the gene is an important aspect of porting MAGE technology into non-model organisms.<span class="return"> <a href="#overview"> Back</a></span></p>
 
       <p>MAGE can be used to create insertions and mismatches of up to 12 bp per cycle, and deletions of up to 1 kb per cycle (Gallagher et al. 2014). Each cycle, which involves introducing degenerate oligos into cells via electroporation, inducing the Lambda-Red cassette, and growing transformed cell populations, takes approximately 2.5 hours; thus, a highly diverse population of cells resulting from multiple MAGE cycles can be created in a matter of days. Since mutations created by MAGE rely upon DNA mismatches in the chromosome to go unnoticed, <em>mutS</em>-deficient <em>E. coli </em>strains are used when executing MAGE cycles. <em>mutS</em> is a highly-conserved gene in the DNA mismatch repair pathway whose associated protein is responsible for identifying and marking single-base mismatches after replication (Culligan et al. 2000). ∆<em>mutS</em> cell populations demonstrated increased mutagenesis efficiency per MAGE cycle; thus, creating cell populations deficient in the gene is an important aspect of porting MAGE technology into non-model organisms.<span class="return"> <a href="#overview"> Back</a></span></p>

Revision as of 01:22, 16 September 2015


<!DOCTYPE html> Yale iGem 2015: Project Overview

Developing a Framework for the Genetic Manipulation of Non-Model and Environmentally Significant Microbes

Project Overview

Let's make today's most important microbes easier to engineer

Overview

Our iGEM research project involves developing a framework for the implementation of genetic manipulation techniques'specifically, multiplex automated genome engineering (MAGE) and CRISPR-Cas9 systems into non-model, environmentally significant microbes. MAGE was developed as a rapid, high efficiency tool for increasing the genetic diversity of a cell population at targeted loci within the genome, and has so far been ported into the model organism Escherichia coli and a few other members of the family Enterobacteriaceae (unpublished data). CRISPR (clustered regularly interspaced short palindromic repeats)/Cas systems, based on prokaryotic adaptive immunity mechanisms, have emerged as a powerful cleavage-based genome editing technique (Cong et al. 2013).

The organisms we used to develop our framework are Rhizobium tropici CIAT and Synechococcus sp. PCC 7002. Rhizobium tropici CIAT 899 (hereafter RT-CIAT) is a nitrogen-fixing bacterium capable of forming root nodules with certain legume-producing Leucaena and Phaseolus trees (Martinez-Romero et al). Synechococcus sp. PCC 7002 (hereafter PCC7002) is a fast-growing marine cyanobacterium capable of photosynthesis and free fatty acid (FFA) production (Ruffing 2014).

We envision numerous potential applications for MAGE, CRISPR-Cas9, and other genetic manipulation techniques in these organisms; for example, the nitrogen fixation mechanisms in Rhizobium tropici CIAT could be modified to enable plant growth in otherwise hostile environments, and the FFA biosynthesis pathway of Synechococcus sp. PCC 7002 could be optimized for the production of molecules that serve as precursors to lipid biofuels. Back

Rationale for Project

Rationale for Project

Numerous genetic manipulation techniques have been developed for prokaryotes in the past decade, including zinc-finger nucleases, TALENs, SCALEs, CRISPR/Cas systems, and MAGE (Gaj et al. 2013, Lynch et al. 2007, Cong et al. 2013, Wang et al. 2009). However, these techniques have so far only been effective in a small handful of organisms beyond the model prokaryote Eschrichia coli. Despite their environmental significance and potential as producers of industrially-relevant small molecules, PCC7002, RT-CIAT, and many other non-model microbes lag far behind E. coli in terms of genome engineering technologies (Ramey et al. 2015). We reason that the development of a framework for the implementation of the most exciting genetic manipulation technologies into non-model organisms is necessary in order to maximize the positive potential which synthetic biology may have on industry and the environment. Back

Multiplex Automated Genome Engineering (MAGE) in Escherichia coli

Mutate. Grow. Screen. Repeat.

Multiplex automated genome engineering (MAGE) is an iterative, oligonucleotide-mediated genetic manipulation developed by the George Church lab at Harvard Medical School in 2009 (Wang et al. 2009). The technique relies on the introduction of degenerate (randomized) ssDNA oligos into a bacterial cell. The oligos are designed with 30-45 bp homology arms that are complimentary to the target sequence in the cell's genome up- and downstream of the degenerate sequence. Phage homologous recombination proteins Gamma, Exo, and Beta (Lambda-Red cassette) are induced, and allow the oligo to anneal to the lagging target strand as the cell's chromosome separates into single strands for replication (Gallagher et al. 2014). Desirable genotypes are then selected based upon a phenotypic change in cell populations. MAGE can be used to optimize biosynthetic pathways which are then selected for based on a desirable phenotype.

MAGE can be used to create insertions and mismatches of up to 12 bp per cycle, and deletions of up to 1 kb per cycle (Gallagher et al. 2014). Each cycle, which involves introducing degenerate oligos into cells via electroporation, inducing the Lambda-Red cassette, and growing transformed cell populations, takes approximately 2.5 hours; thus, a highly diverse population of cells resulting from multiple MAGE cycles can be created in a matter of days. Since mutations created by MAGE rely upon DNA mismatches in the chromosome to go unnoticed, mutS-deficient E. coli strains are used when executing MAGE cycles. mutS is a highly-conserved gene in the DNA mismatch repair pathway whose associated protein is responsible for identifying and marking single-base mismatches after replication (Culligan et al. 2000). ∆mutS cell populations demonstrated increased mutagenesis efficiency per MAGE cycle; thus, creating cell populations deficient in the gene is an important aspect of porting MAGE technology into non-model organisms. Back

CRISPR-Cas9 Systems

The search-and-modify tool of genome engineering

In the past several years, CRISPR-Cas systems have emerged as an extremely powerful gene perturbation and genome editing technique. Based upon the RNA-guided restriction endonuclease Cas9 from the microbial adaptive immunity system CRISPR (clustered regularly interspaced short palindromic repeats), these systems allow virtually any sequence within a cell's genome to be targeted (Hsu et al. 2014). The Cas9 protein relies on a 20-bp guide RNA (gRNA) sequence to base-pair directly with a DNA target. Once this occurs, Cas9 creates a double-stranded break (DSB) upstream of a sequence referred to as a protospacer-adjacent motif (PAM). The PAM sequence is unique for every organism which possesses a CRISPR system.

In a native CRISPR system, the gRNA is typically a sequence derived from a viral genome which is used to cleave foreign DNA if the cell becomes re-infected with the same virus. The CRISPR-Cas9 system's power as a genetic editing tool arises when the gRNA is used to target endogenous DNA. The Cas9 protein from the bacterium Streptococcus pyogenes is typically used, since its PAM sequence of NGG (where N = any nucleotide) allows the protein to create DSBs at a large number of loci (for instance, the sequence NGG occurs every 8 bp on average within the human genome) (Cong et al. 2013, Hsu et al. 2014).

Cas9-mediated DNA manipulation procedures hold promise in basic research, therapeutics, metabolic pathway engineering, and beyond. The Cas9 protein, guided by specific gRNA, can be coupled with a fluorescent reporter protein to visualize genomic structure in real-time. Cas9 under a light- or small molecule-inducible promoter, along with synthesized libraries of gRNA, can be transfected into organisms and induced to facilitate multiplex, genome-wide editing (Mali et al. 2013). The DSBs created by Cas9 can be repaired by homologous recombination-based (HR) methods or more error-prone non-homologous end joining (NHEJ), allowing for precise gene editing if HR is favored or nonspecific indel mutations if NHEJ is favored (Hsu et al. 2013). Back

Target Organism: Synechococcus sp. PCC 7002

A fast-growing cyanobacterium for lipid biofuel production

Synechococcus sp. PCC 7002 is a marine cyanobacterium capable of rapid growth in a wide variety of environmental conditions (Song et al. 2015). The bacterium was first isolated from the waters off Magueyes Island, in southwestern Puerto Rico, in 1962 (Ludwig and Bryant 2012). The doubling time of PCC7002 in optimized, CO2-enriched conditions is under 3 hours, making the organism an ideal model for photosynthetic prokaryotes. PCC7002 is also a prime candidate for genetic modification: The organism's genome is fully sequenced (NCBI Taxonomy ID: 32049), its metabolic pathways are well-characterized (Hamilton and Reed 2012), and a system for protein overexpression has been developed for PCC7002 (Xu et al. 2011). Since it is native to marine environments and grows readily in seawater, the use of PCC7002 as a large-scale producer of small molecules would not place a burden on increasingly limited freshwater sources (Ruffing 2014). PCC7002 is naturally competent and readily undergoes homologous recombination with linear DNA fragments (Widger et al. 1998).

Despite its favorable characteristics for basic research and environmental applications, PCC7002s capabilities as a chassis for genetic modification have not been fully realized (Ramey et al. 2015). The organism possesses no native CRISPR systems, making it an ideal candidate to receive a foreign CRISPR/Cas system (such as that of S. pyogenes) for genomic editing (Cong et al. 2013). Its tendency towards natural recombination suggests that a high-efficiency MAGE protocol could be developed for PCC7002 with relative ease. We sought to address the gap in genetic manipulation technologies available for PCC7002 by testing and implementing our framework on the organism. Back

Target Organism: Rhizobium tropici CIAT 899

A broadly symbiotic, nitrogen-fixing bacterium

Rhizobium tropici CIAT 899 is a promiscuous α-proteobacterium first isolated from a common-bean nodule in Colombia (Martinez-Romero et al. 1991). As a Rhizobium species, CIAT 899 can fix atmospheric nitrogen into a form that can be absorbed by plants, thus reintroduce nitrogen as an essential nutrient into the soil (New Mexico State University 2005). Rhizobium must nodulate plant roots in order to fix nitrogen, and although some Rhizobium species can only nodulate a limited number of legume species, CIAT 899 can establish nitrogen-fixing symbioses with a broad range of legume hosts (Hungria et al. 2000). CIAT 899 is more environmentally adaptable when compared to other Rhizobium species due to its tolerance of stressful conditions such as acidic soils and high temperatures (Graham et al. 1994). It has also shown resistance to various antibiotics, pesticides and fungicides (Bernal et al. 2004), all of which are properties that have led to CIAT 899's commercial use in inoculating the common bean Phaseolus vulgaris in South America and Africa (Ormeno-Orrillo et al. 2012). Because nitrogen-fixing legumes reduce reliance on synthetic fertilizers that are costly and ecologically damaging, scientists have recognized the role of Rhizobia in agricultural sustainability and ecological preservation (Balkan 2007).

R. tropici CIAT 899 is an ideal candidate for MAGE because it has a reasonably fast doubling time of < 6 hr (Morón et al. 2005) and its genome is fully sequenced (NCBI Taxonomy ID: 698761). CIAT 899 can produce a wide variety of Nod factor structures, which influence the range of symbiotic hosts (Morón et al. 2005). Although it is already used commercially to reintroduce soil nitrogen and has been very successful in increasing crop yields in some experimental plots, nitrogen-fixing legumes on average do not fix enough nitrogen to appreciably increase crop yield (Gilbert, 2012). There is potential for MAGE to further diversify the range of hosts that CIAT 899 require to fix nitrogen and increase the output of nitrogen from nitrogen-fixing symbioses. Back

Potential Outcomes

Genetic Manipulation Technologies in PCC7002 and RT-CIAT

We chose PCC7002 and RT-CIAT as organisms for developing our framework due to their high potential for making a positive impact in carbon-neutral and ecological industries. PCC7002 could be engineered to produce and tolerate higher concentrations of free fatty acids (FFAs), which could be harvested and developed into lipid biofuels. MAGE is an ideal technology for modifying PCC7002's FFA biosynthesis pathway due to its ability to produce large numbers of genetic variants at targeted loci. The nitrogen-fixation mechanisms of RT-CIAT could be optimized, reducing the need for artificial, nitrate-based fertilizers in plant crops. Back

References List