Team:Paris Bettencourt/Project/Eliminate Smell

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         <table id=headtable>
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<td><b>BACKGROUND</b></br><br>
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<td><center><b>BACKGROUND</b></center></br><br>
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<p class=text1>Sweat is initially odorless, but bacteria in your skin microbiome can process some sulfurous compounds present in sweat to release volatile and odorous compounds. In "Don't Sweat It," we are trying to find natural mutants of the genes that produce odorous compounds, and allow us to smell like ourselves. <br>
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<p class=text1>Sweat is odorless until it is metabolized by the bacteria of the skin. If the enzymes responsible for producing odorant molecules could be removed from the skin microbiome, body odor would be attenuated or eliminated. In this project we explore strategies to identify, target, and remove odor-related genes from a complex population. <br></p></td>
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<br> </p></td>
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<td><center><b>AIMS</b></center></br><br>
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<td><b>AIMS</b></br><br>
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<p class=text1>This project is subdivided into 3 approaches. First we seek to understand odor production by a single enzyme related to armpit odor. Next we develop a CRISPR-based tool for isolating precise loss-of-function mutants. Finally we use bioinformatics to identify potential gene targets to eliminate with our tool.</p></td>
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<p class=text1><ul><li>Find the bacteria and genes responsible for body odor in human sweat samples.</li>
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<td><center><b>ACHIEVEMENTS</b></center></br><br>
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<li>Develop CRISPRs that target the bacteria responsible for body odor in order to find natural odorless strains.</li>
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<li> Expressed the odor gene <i>agaA</i> in <i>E. coli</i> (BBa_K1403002).</li>
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<li>Formulate a probiotic deodorant cream that contains the odorless natural mutants of the bacteria to cure body odor.</li></ul></p></td>
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<li> Designed and used CRISPRs to enrich for loss-of-function mutants 1000x in a mixed population.</li>
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<td><b>RESULTS</b></br><br>
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<li> Identified potential CRISPR targets as odor genes with variability hotspots in metagenome data.</li>
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<p class=text1><ul>
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<li> Formulated a simple skin cream encorporating live bacteria.</li></ul></p></td>
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<li> Designed a BioBrick of <i>agaA</i> (main gene responsible for body odor) in pSB1C3.</li>
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<li> Hotspots for genes <i>ackA</i> and <i>ldh</i> (responsible for body odor) found in human microbiome samples.</li>
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<li> Design CRISPRs to select for natural odorless strains.</li>
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<li> Made a DIY formulation of probiotic cream.</li></ul></p></td>
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</tr>
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</table>
</table>
         </div>
         </div>
<table id=tablelien>
<table id=tablelien>
<tr>
<tr>
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<td><a href="#part1">The Microbiome</a></td>
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<td><a href="#part1">Genes Affect Odor</a></td>
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<td><a href="#part2">CRISPR</a></td>
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<td><a href="#part2">A CRISPR/Cas System</a></td>
<td><a href="#part3">The Probiotic Cream</a></td>
<td><a href="#part3">The Probiotic Cream</a></td>
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<td><a href="#reference">References</a></td>
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<td><a href="#part3">Natural variants of odor genes</a></td>
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</tr>
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<p class=text2>
<p class=text2>
<img id=image2 src="https://static.igem.org/mediawiki/2014/1/17/Dont_sweat_it_genes_pb.png"></br>
<img id=image2 src="https://static.igem.org/mediawiki/2014/1/17/Dont_sweat_it_genes_pb.png"></br>
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<span class=legende><b>Figure 1. Enzymes responsible for body odor in the human axilla (Tauch, 2013). </b> </span> </br> <br>
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<span class=legende><b>Figure 1. Enzymes responsible for body odor in the human axilla (<a href="https://2014.igem.org/Team:Paris_Bettencourt/Bibliograpy">Tauch, 2013 <i>et al.</i>, 2001</a>). </b> </span> </br> <br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/3/37/Dontsweatit_Fig2_PB.jpg"></br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/6/68/Smell_test_agaA_e_coli.png"></br>
<span class=legende><b>Figure 2. Smell test</b>. 14 people smelled two tubes of <i>E. coli</i> grown to saturation in LB. </b>One culture carried synthetic <i>agaA</i> and other an empty vector control. 13 people out of 14 rated the <i>E. coli</i> carrying <i>agaA</i> as more smelly (pink) than the control(violet). Experiments were double-blind. Significance was confirmed by Chi square test (p-value = 0.001341).</span></br></br>
<span class=legende><b>Figure 2. Smell test</b>. 14 people smelled two tubes of <i>E. coli</i> grown to saturation in LB. </b>One culture carried synthetic <i>agaA</i> and other an empty vector control. 13 people out of 14 rated the <i>E. coli</i> carrying <i>agaA</i> as more smelly (pink) than the control(violet). Experiments were double-blind. Significance was confirmed by Chi square test (p-value = 0.001341).</span></br></br>
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[figure 3 GC analysis] <br><br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/e/ef/16s_corynebacterium_pb.png"></br>
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<span class=legende><b>Figure 3. Phylogenetic tree produced from 16S sequencing of <i>Corynebacterium</i> from human axillary samples. </b><i>Corynebacterium</i> was cultured on blood agar plates and the 16S region of selected colonies was sequenced. Sequencing results are presented here in a phylogenetic tree format. The tree was made by creating a multiple sequence alignment (MSA) using the CLUSTALW algorithm and then creating a neighbor-joining tree using the MSA. The length and order of the branches is not accurate due to the evolutionary closeness of the species sampled.  </span></br></br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/e/ef/16s_corynebacterium_pb.png"></br>
 
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<span class=legende><b>Figure 4. Phylogenetic tree produced from 16S sequencing of <i>Corynebacterium</i> from human axillary samples. </b><i>Corynebacterium</i> was cultured on blood agar plates and the 16S region of selected colonies was sequenced. Sequencing results are presented here in a phylogenetic tree format. The tree was made by creating a multiple sequence alignment (MSA) using the CLUSTALW algorithm and then creating a neighbor-joining tree using the MSA. The length and order of the branches is not accurate due to the evolutionary closeness of the species sampled.  </span></br></br>
 
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[Figure 5: smell test data??] <br><br>
 
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[Figure 6: megane's stuff??]
 
</p>
</p>
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<h6>1. The Microbiome: Looking for Genes Responsible for Body Odor</h6><br><p class=text1>
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<h6>1. Genes and Bacterial Species Affect Odor</h6><br><p class=text1>
<strong style="font-size: 125%;">Introduction</strong> <br><br>
<strong style="font-size: 125%;">Introduction</strong> <br><br>
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In previous literature, it has been determined that there are a few key enzymes responsible for body odor, such as AgaA, AecD, Ldh and AckA. Fig. 1 shows a description of the enzymes studied in our project and the reactions corresponding to each enzyme. <br><br>
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Body odor is a complex combination of odorants, but the major components come from just a few known enzymes (Fig. 1). In the armpit, for example, a major source of "pungent" or "musky" odors is the enzyme AgaA expressed by <i>Corynebacterium striatum</i> (<a href="https://2014.igem.org/Team:Paris_Bettencourt/Bibliograpy">Kligman <i>et al.</i>, 1981</a>). AgaA is an aminocylase that hydrolyzes 3-methyl-2-hexenoyl-glutamine (3M2H-gln) into 3-methyl-2-hexenoic acid (3M2H) and free glutamine. The substrate is secreted in sweat, and the product is a distinctive armpit odor.<br><br>
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The AgaA enzyme in <i>Corynebacterium striatum</i> is found to be a major source of "pungent" or "musky" odor in humans (Kligman, 1981). A specific bacterial aminoacylase cleaves odorant precursors secreted in the human axilla (Acuna,2003), and hydrolyzes 3-methyl-2-hexenoyl-glutamine (3M2H-gln) into 3-methyl-2-hexenoic acid (3M2H) and free glutamine. The enzyme is known to have a low specificity for the acyl group, and to act on a range of glutamine conjugates. We cloned <i>agaA</i> into the standard BioBrick vector, and expressed it in <i>E. coli</i>. <br><br>
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<strong style="font-size: 125%;">Results</strong> <br><br>
<strong style="font-size: 125%;">Results</strong> <br><br>
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In order to analyze the smell created by AgaA, we cloned the gene into <i>E. coli</i>. A noticeable odor was produced by <i>agaA</i>-expressing <i>E. coli</i> grown in selective LB, described as "beer-like" or "cheese-like". We took this to be evidence that the enzyme was functional and acting on a non-native substrate in LB media. We confirmed this observation with a formal smell test (Fig. 2) and plasmid sequencing. <br><br>
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To understand the smell created by AgaA, we cloned the gene into <i>E. coli</i> (BBa_K1403002). A noticeable odor was produced by <i>agaA</i>-expressing <i>E. coli</i> grown in selective LB, described as "beer-like" or "cheese-like". We confirmed this observation with a formal double-blind smell test (Fig. 2). Although the native substrate of the enzyme is not present in LB, the enzyme is known to have a low specificity for the acyl group, and to act on a range of glutamine conjugates (<a href="https://2014.igem.org/Team:Paris_Bettencourt/Bibliograpy">Natsch <i>et al.</i>, 2003</a>). These observations highlight the remarkable affect of single gene on the odor profile of a bacterial population.<br><br>
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We analyzed human sweat samples for two things. First, we conducted 16S sequencing of the samples collected in order to determine the types of <i>Corynebacterium</i> species present in the sample. The reason we were interested in <i>Corynebacterium</i> was because it is known from literature that one of the main enzyme responsible for the body odor smell (AgaA) is found in <i>Corynebacterium</i> species. Fig. 4 shows the variety of <i>Corynebacterium</i> that we found in human samples after 16S sequencing. Not only did we did the sequencing, but also conducted smell tests on the same samples in order to see if there was a correlation between odor smell and presence of <i>Corynebacterium</i> species. <br><br>
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We next investigated bacterial species involved in human body odor. We collected sweat samples from our team, from other iGEM teams, and during our public exibition at the <i>Cité des Sciences</i>. Samples were plated on blood agar with phosphomycin, a media selective for <i>Corynebacterium</i>. We identified 15 distinctive species by 16S sequencing (Fig. 4), each with a noticeably different smell.<br><br>
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Second, we conducted Sanger sequencing of axillary sweat samples for the genes in Fig. 1. [MEGANE ADD STUFF HERE ABOUT WHAT YOU DID EXACTLY / HOPED TO DO]. <br><br>
 
<strong style="font-size: 125%;">Methods</strong> <br><br>
<strong style="font-size: 125%;">Methods</strong> <br><br>
<strong style="font-size: 110%;">1. Cloning <i>agaA</i> into <i>E. coli</i></strong> <br><br>
<strong style="font-size: 110%;">1. Cloning <i>agaA</i> into <i>E. coli</i></strong> <br><br>
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The AgaA enzyme from <i>Corynebacterium</i> (Genbank: AF534871.1) was codon optimized using IDT online tool (Integrated DNA Technologies, Belgium) for <i>E. coli</i> K12 and was commercially synthesized by IDT. PCR was performed to obtain the <i>agaA</i> construct using a forward primer that contained the Biobrick prefix and a RBS designed using the Salis online tool; and a reverse primer that contained the BioBrick suffix. The PCR product was purified. <br><br>
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The AgaA enzyme from <i>Corynebacterium</i> (<a href="http://www.ncbi.nlm.nih.gov/nuccore/AF534871.1">Genbank: AF534871.1</a>) was codon optimized using the <a href="http://eu.idtdna.com/CodonOpt">IDT online tool</a> (Integrated DNA Technologies, Belgium) for <i>E. coli</i> K12 and was commercially synthesized by IDT. PCR was performed to obtain the <i>agaA</i> construct using a forward primer that contained the Biobrick prefix and a RBS designed using the <a href="https://salis.psu.edu/software/">Salis online tool</a>; and a reverse primer that contained the BioBrick suffix. The PCR product was purified. <br><br>
The <i>agaA</i> construct and pSB1C3 vector were digested using EcoRI and PstI. After, the <i>agaA</i> construct was purified using the PCR Purification Kit . The vector was gel extracted and purified. Both parts were ligated using Ligase T4. <br><br>
The <i>agaA</i> construct and pSB1C3 vector were digested using EcoRI and PstI. After, the <i>agaA</i> construct was purified using the PCR Purification Kit . The vector was gel extracted and purified. Both parts were ligated using Ligase T4. <br><br>
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Competent <i>E. coli</i> Neb Turbo were transformed with the ligation product by heat shock. Then, they were recovered during 2 hours in 200 uL of LB medium at 37ºC and plated in selective plates with LB and chloramphenicol in a concentration of 1 uL/mL. The transformation was confirmed by analytical digestion. <br><br>
Competent <i>E. coli</i> Neb Turbo were transformed with the ligation product by heat shock. Then, they were recovered during 2 hours in 200 uL of LB medium at 37ºC and plated in selective plates with LB and chloramphenicol in a concentration of 1 uL/mL. The transformation was confirmed by analytical digestion. <br><br>
<strong style="font-size: 110%;">2. Find <i>Corynebacterium</i> in human skin samples.</strong> <br><br>
<strong style="font-size: 110%;">2. Find <i>Corynebacterium</i> in human skin samples.</strong> <br><br>
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Text </br></br>
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After collecting human axilary samples, we cultured them in blood agar plates to select for <i>Corynebacterium</i> and performed 16S sequencing. We made a multiple sequence alignment (MSA) using the CLUSTAW algorithm and we created a neighbor-joining tree using the MSA. Finally, we obtained a phylogenetic tree for the <i>Corynebacterium</i> found in our samples (Fig. 3).
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<div id=part2  class=project>
<div id=part2  class=project>
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<p class=text2></p>
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<p class=text2>
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<h6>2. CRISPRs: finding natural odorless mutants</h6><br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/3/3e/CRISPR_Fig_Intro.png"></br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/f/f7/CRISPR_Fig_1.png"></br>
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<span class=legende><b>Figure 4. The designed CRISPR/Cas system targets the LacZ gene of a wild type and a mutant. </b>The targeting sequence is 30 nucleotides wide and targets the wild type sequence of <i>lacZ</i>. The mutant strain has a deletion and a substitution at positions 1470 and 1473 respectively, decreasing the specificity of the CRISPR for it.  </span></br></br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/f/f1/CRISPR_Fig_2.png"></br>
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<span class=legende><b>Figure 5. The designed CRISPR/Cas system is capable of discriminating small genomic differences. </b>The wild type (<i>LacZ+</i>) and the mutant (<i>LacZ-</i>) were transformed with the non-targeting CRISPR (Random CRISPR) and the <i>LacZ</i>-targeting CRISPR (<i>LacZ</i> CRISPR). The non-targeting CRISPR resulted in comparable number of transformed cells among the wild type and the mutant. The <i>LacZ</i>-targeting CRISPR resulted in the killing of most of the wild type, but in the survival of a substantial number of the mutants (40% compared to the control non-targeting CRISPR).  </span></br></br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/4/47/CRISPR_Fig_3.png"></br>
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<span class=legende><b>Figure 6. The designed CRISPR/Cas system is capable of isolation a mutant from a mixed population. </b>The wild type and the mutant strains were mixed right before electroporation. Since the wild type produces a blue color and the mutant stays colorless, we measured the final frequency of mutant by blue/white screening. The transformation with the non-targeting CRISPR resulted in a final proportion of the mutant proportional to the initial concentration. However, when transformed with the <i>LacZ</i> targeting CRISPR, the final proportion of mutant was almost at 100%. This property is maintained until a ratio of 1/10<sup>6</sup> after which the isolation loses efficacy.  </span></br></br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/9/90/Method_pb.png"></br>
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<span class=legende><b>Figure 9. We took microbiome samples of 12 volunteers, performed DNA extraction and PCR amplified for <i>ldh</i>, <i>L-ldh</i>, <i>D-ldh</i> and <i>ackA</i>. </b>The samples from 5 volunteers were positive for the PCR and we Sanger sequenced them. </span></br></br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/b/b0/Results_pb.png"></br>
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<span class=legende><b>Figure 10. Hotspots found for enzymes <i>D-Ldh</i> in human microbiome axillary samples.</b></span></br></br>
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</p>
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<h6>2. A CRISPR/Cas System to Enrich for Natural Mutants</h6><br>
<p class=text1>
<p class=text1>
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<strong style="font-size: 110%;">1. CRISPRs in <i>E. coli</i>.</strong> <br><br>
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Text </br></br>
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<strong style="font-size: 125%;">Introduction</strong> <br><br>
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<strong style="font-size: 110%;">2. Find hotspots for mutations in <i>ackA</i> and <i>ldh</i> in human microbiome samples.</strong> <br><br>
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Text </br></br>
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Removing genes (like <i>agaA</i>) from the bacteria that express them (like <i>Corynebacterium</i>), should attenuate their associated odor. Classical genetic tools can produce gene deletions. Odor-negative deletion mutants, applied to the skin in large numbers, could replace a wild-type strain by the principle of competitive exclusion. However, this approach faces two difficulties: <br>
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1) Gene deletions may reduce fitness, rendering the mutant unable to compete with the WT for a niche.<br>
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2)Genetically Modified Organisms (GMOs) face special regulations and limited public acceptance.<br><br>
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We propose an alternative strategy to isolate naturally occurring loss-of-function mutants from a complex microbiome. Natural mutants, if they are isolated from the microbiome itself, are likely to retain high fitness. Public acceptance is higher and biosafety concerns are reduced for non-GMO microbes. <br><br>
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The CRISPR-Cas system has been shown to target DNA sequences for cutting with single-base precision, providing means of targeting genome editing or killing specific pathogens (<a href="https://2014.igem.org/Team:Paris_Bettencourt/Bibliograpy">Jiang <i>et al,</i>, 2013; Gomaa <i>et al.</i>, 2014</a>). Here we present a CRISPR-based protocol for isolating pre-existing mutants from a mixed population. Mutants that mismatch a CRISPR target sequence will survive transformation with a CRISPR-expressing plasmid and therefore be enriched in the post-transformation population. In principle, CRISPR-based mutant enrichment does not alter the existing mutant genome and the isolated organisms do not meet the conventional definition of GMOs. <br><br>
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<strong style="font-size: 125%;">Results</strong> <br><br>
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As a proof-of-principle, we designed a CRISPR system on a single plasmid with a tracrRNA targeting lacZ. The targeting sequence was designed to match the wild-type sequence, but not a loss-of-function mutant sequence with two point mutations (Fig. 4).<br><br>
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Our CRISPR system was capable of sequence-specific killing (Fig. 5). Transformation with the <i>lacZ</i>-targeting CRISPR significantly killed less than 98% of wild-type bacteria compared to a control CRISPR with a randomized tracrRNA. In contrast, about 40% of mutant bacteria survived transformation relative to control. This result showed that our construct could selectively kill wild-type bacteria.<br><br>
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We next used our construct to enrich for mutant bacteria in a mixed population (Fig. 6). Wild-type and <i>lacZ</i>- strains were mixed in measured proportions. Blue/white screening for <i>lacZ</i> activity was applied following transformation to measure the frequency of <i>lacZ</i>- mutants post-transformation. Even when <i>lacZ</i>- mutants represented only 1:10<sup>6</sup> of the initial population, they represented the large majority of the population post-transformation. In contrast, transformation with randomly-targeted CRISPR produced a linear proportionality between <i>lacZ</i>- frequency before and after transformation.<br><br>
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CRISPR-mediated cleavage may select for mutants, but it can also induce mutagenesis. To distinguish between these two possibilities we additionally labeled lacZ mutants with a plasmid expressing YFP. Wild-type cells were similarly labeled with CFP. This labeling allowed us to distinguish a CRISPR-selected mutant (<i>lacZ-</i>, YFP+) from a CRISPR-induced mutant (<i>lacZ</i>-, CFP+). We found CRISPR-induced mutagenesis to be rare, representing less than 10% of the total isolated mutants in most cases (Fig. 7). <br><br>
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To use this system in strains beyond <i>E. coli</i>, we ported the entire CRISPR/Cas system into the broad host-range vector pSEVA351. This new vector is also functional in <i>E. coli</i> (Fig. 8) but carries a viral replication origin that functions in many species. This vector should serve as a tool to enable CRISPR-mediated mutant enrichment in many species of the skin microbiome.<br><br>
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<strong style="font-size: 125%;">Methods</strong> <br><br>
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In order use a cloning strain which wouldn't be killed by the CRISPR, the strain BL21-AI has been chosen for all the clonings. However, prior to its use in cloning purposes, its chloramphenicol resistance has been flipped out by the use of the thermosensitive plasmid pCP20.
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The pCas9 plasmid was the CRISPR vector used. Its targeting sequence has been changed by the use of the enzyme Eco31I (BsaI) in regular cloning technique.</br></br>
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Regarding the mixing of different strains for the mutant enrichment purpose, after the third washing, the strains were diluted to reach the same OD600 and then mixed in different proportion. They were then washed one more time and resuspended in 1mL of water before electroporation.<br><br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/c/cf/CRISPR_Fig_4.png"></br>
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<span class=legende><b>Figure 7. CRISPR induced mutagenesis is rare during mutant isolation. </b>After labeling the wild type with a plasmid expressing CFP and the mutant with a plasmid expressing YFP, we transformed mix of the two strain at a ratio of 1:10<sup>2</sup>. The blue/white screening was then compared to the fluorescence. Colorless colonies expressing CFP fluorescence were representing potential induced mutants. These potential induced mutants represented about 8% of the colorless colonies. However it was found that their colorless phenotype was to be imputed to the imperfect efficiency of the blue/white screening method. This was confirmed by re-streaking on X-gal and sequencing. The colonies were blue after re-streaking, and presented the expected sequence of a wild type.  </span></br></br>
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<img id=image1 src="https://static.igem.org/mediawiki/2014/e/e6/CRISPR_Fig_5.png"></br>
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<span class=legende><b>Figure 8. Broad-host range CRISPR has a similar efficiency. </b>After cloning the whole CRISPR/Cas system in the vector pSEVA351, we compared its discrimination efficiency to our previous CRISPR/Cas system. It appears the even if the transformation efficiency seems to be in general higher with the new vector, discrimination properties are conserved. Indeed there is about 45% of survival of the mutant when compared to the control non targeting CRISPR.  </span></br></br>
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<h6>3. Probiotic cream: a cure for body odor</h6><br>
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<h6>3. Sequence Identification of Natural Variants of Odor Genes</h6><br>
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<p class=text1>
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To identify potential natural sequence variants that might provide CRISPR targets, we amplified and sequenced odor-related genes from human sweat samples (Fig. 9). We focused on enzymes producing odorant fermentation products in <i>Staphylococcus</i> species like acetate kinase (<i>ackA</i>) and lactate dehydrogenase (<i>ldh</i>) (<a href="https://2014.igem.org/Team:Paris_Bettencourt/Bibliograpy">Tauch, 2013 <i>et al.</i>, 2001</a>).<br><br>
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We extracted, amplified and sequenced 4 genes from 12 individual sweat samples. A range of synonymous and nonsynonymous mutations were detected (Fig. 10). Each of these mutations represents a CRISPR-selectable target, and some of them may have functional consequences for an individual odor profile.
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<img id=gif1 src="https://static.igem.org/mediawiki/2014/f/f7/Out3pb.gif"><br>
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<span class=legende ><b>Figure X: Cream with <i>Corynebacterium striatum</i>.</b> <br><br>
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<span class=legende ><b>Figure 12: Cream with <i>Corynebacterium striatum</i>.</b> <br><br>
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<iframe width="560" height="315" src="//www.youtube.com/embed/4IgNmKaGdbU" ></iframe><br><b>Figure X: Cream with fluorescent <i>E. coli</i>.</b><br><br>
 
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<h6>4.Probiotic Cream: a Cure for Body Odor</h6><br>
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<b>Ingredients</b><br>
 
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- Beeswax (known antibacterial)<br>
 
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- Soy milk (substitute medium for tryptophan soy for <i>C. striatum</i> growth)<br>
 
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- Jojoba oil<br><br>
 
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<b>Formulation of the cream</b><br>
 
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- Tested cream formulation with RFP <i>E. coli</i> (Fig. X) and checked for growth.<br>
 
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- Tested cream with <i>Corynebacterium striatum</i> (Fig. X). <br>
 
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- Tested raw soy milk versus soy milk hydrolyzed with lemon juice. No significant difference in growth was found.<br>
 
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- Tested shelf life of soy milk and cream formulation. Unspoiled after two months. <br>
 
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We formulated a basic skin cream to package and deliver live bacteria as a cosmetic. The cream is a water-in-oil emulsion using jojoba oil as a base, beeswax as an emulsifier and soy milk as a bacterial culture medium.<br><br>
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The soy milk media forms emulsified droplets 100 μM in scale, in which bacteria are protected from dessication. We tested the cream with RFP-expressing <i>E. coli</i> (Video of Cream with fluorescent <i>E. coli</i>) and with wild-type <i>C. striatum</i> (Fig. 12).
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<iframe src="//www.youtube.com/embed/4IgNmKaGdbU" ></iframe><br><b>Video of Cream with fluorescent <i>E. coli</i>.</b><br><br>
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<img id=pleineimg src="https://static.igem.org/mediawiki/2014/0/0d/DEO_RECIPE.png">
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<p class=text1><span id=7>- Acuna G. <i>et al</i>. A specific bacterial aminoacylase cleaves odorant precursors secreted in the human axilla. J Biol Chem (2003);278(8):5718-27. </span></br>
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                <span id=8>- Tauch A. <i>et al</i>. Daily battle against body odor: towards the activity of the axillary microbiota. Trends Microbiol (2013)21(6):305-12. </span></p>
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<span id=9>- Kligman AM. <i>et al</i> The microbiology of the human axilla and its relationship to axillary odor. J Invest Dermatol. (1981) 77(5):413-6. </span></p>
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Latest revision as of 18:57, 6 December 2014

BACKGROUND


Sweat is odorless until it is metabolized by the bacteria of the skin. If the enzymes responsible for producing odorant molecules could be removed from the skin microbiome, body odor would be attenuated or eliminated. In this project we explore strategies to identify, target, and remove odor-related genes from a complex population.

AIMS


This project is subdivided into 3 approaches. First we seek to understand odor production by a single enzyme related to armpit odor. Next we develop a CRISPR-based tool for isolating precise loss-of-function mutants. Finally we use bioinformatics to identify potential gene targets to eliminate with our tool.

ACHIEVEMENTS


  • Expressed the odor gene agaA in E. coli (BBa_K1403002).
  • Designed and used CRISPRs to enrich for loss-of-function mutants 1000x in a mixed population.
  • Identified potential CRISPR targets as odor genes with variability hotspots in metagenome data.
  • Formulated a simple skin cream encorporating live bacteria.
  • Genes Affect Odor A CRISPR/Cas System The Probiotic Cream Natural variants of odor genes


    Figure 1. Enzymes responsible for body odor in the human axilla (Tauch, 2013 et al., 2001).


    Figure 2. Smell test. 14 people smelled two tubes of E. coli grown to saturation in LB. One culture carried synthetic agaA and other an empty vector control. 13 people out of 14 rated the E. coli carrying agaA as more smelly (pink) than the control(violet). Experiments were double-blind. Significance was confirmed by Chi square test (p-value = 0.001341).


    Figure 3. Phylogenetic tree produced from 16S sequencing of Corynebacterium from human axillary samples. Corynebacterium was cultured on blood agar plates and the 16S region of selected colonies was sequenced. Sequencing results are presented here in a phylogenetic tree format. The tree was made by creating a multiple sequence alignment (MSA) using the CLUSTALW algorithm and then creating a neighbor-joining tree using the MSA. The length and order of the branches is not accurate due to the evolutionary closeness of the species sampled.

    1. Genes and Bacterial Species Affect Odor

    Introduction

    Body odor is a complex combination of odorants, but the major components come from just a few known enzymes (Fig. 1). In the armpit, for example, a major source of "pungent" or "musky" odors is the enzyme AgaA expressed by Corynebacterium striatum (Kligman et al., 1981). AgaA is an aminocylase that hydrolyzes 3-methyl-2-hexenoyl-glutamine (3M2H-gln) into 3-methyl-2-hexenoic acid (3M2H) and free glutamine. The substrate is secreted in sweat, and the product is a distinctive armpit odor.

    Results

    To understand the smell created by AgaA, we cloned the gene into E. coli (BBa_K1403002). A noticeable odor was produced by agaA-expressing E. coli grown in selective LB, described as "beer-like" or "cheese-like". We confirmed this observation with a formal double-blind smell test (Fig. 2). Although the native substrate of the enzyme is not present in LB, the enzyme is known to have a low specificity for the acyl group, and to act on a range of glutamine conjugates (Natsch et al., 2003). These observations highlight the remarkable affect of single gene on the odor profile of a bacterial population.

    We next investigated bacterial species involved in human body odor. We collected sweat samples from our team, from other iGEM teams, and during our public exibition at the Cité des Sciences. Samples were plated on blood agar with phosphomycin, a media selective for Corynebacterium. We identified 15 distinctive species by 16S sequencing (Fig. 4), each with a noticeably different smell.

    Methods

    1. Cloning agaA into E. coli

    The AgaA enzyme from Corynebacterium (Genbank: AF534871.1) was codon optimized using the IDT online tool (Integrated DNA Technologies, Belgium) for E. coli K12 and was commercially synthesized by IDT. PCR was performed to obtain the agaA construct using a forward primer that contained the Biobrick prefix and a RBS designed using the Salis online tool; and a reverse primer that contained the BioBrick suffix. The PCR product was purified.

    The agaA construct and pSB1C3 vector were digested using EcoRI and PstI. After, the agaA construct was purified using the PCR Purification Kit . The vector was gel extracted and purified. Both parts were ligated using Ligase T4.

    Competent E. coli Neb Turbo were transformed with the ligation product by heat shock. Then, they were recovered during 2 hours in 200 uL of LB medium at 37ºC and plated in selective plates with LB and chloramphenicol in a concentration of 1 uL/mL. The transformation was confirmed by analytical digestion.

    2. Find Corynebacterium in human skin samples.

    After collecting human axilary samples, we cultured them in blood agar plates to select for Corynebacterium and performed 16S sequencing. We made a multiple sequence alignment (MSA) using the CLUSTAW algorithm and we created a neighbor-joining tree using the MSA. Finally, we obtained a phylogenetic tree for the Corynebacterium found in our samples (Fig. 3).



    Figure 4. The designed CRISPR/Cas system targets the LacZ gene of a wild type and a mutant. The targeting sequence is 30 nucleotides wide and targets the wild type sequence of lacZ. The mutant strain has a deletion and a substitution at positions 1470 and 1473 respectively, decreasing the specificity of the CRISPR for it.


    Figure 5. The designed CRISPR/Cas system is capable of discriminating small genomic differences. The wild type (LacZ+) and the mutant (LacZ-) were transformed with the non-targeting CRISPR (Random CRISPR) and the LacZ-targeting CRISPR (LacZ CRISPR). The non-targeting CRISPR resulted in comparable number of transformed cells among the wild type and the mutant. The LacZ-targeting CRISPR resulted in the killing of most of the wild type, but in the survival of a substantial number of the mutants (40% compared to the control non-targeting CRISPR).


    Figure 6. The designed CRISPR/Cas system is capable of isolation a mutant from a mixed population. The wild type and the mutant strains were mixed right before electroporation. Since the wild type produces a blue color and the mutant stays colorless, we measured the final frequency of mutant by blue/white screening. The transformation with the non-targeting CRISPR resulted in a final proportion of the mutant proportional to the initial concentration. However, when transformed with the LacZ targeting CRISPR, the final proportion of mutant was almost at 100%. This property is maintained until a ratio of 1/106 after which the isolation loses efficacy.


    Figure 9. We took microbiome samples of 12 volunteers, performed DNA extraction and PCR amplified for ldh, L-ldh, D-ldh and ackA. The samples from 5 volunteers were positive for the PCR and we Sanger sequenced them.


    Figure 10. Hotspots found for enzymes D-Ldh in human microbiome axillary samples.

    2. A CRISPR/Cas System to Enrich for Natural Mutants

    Introduction

    Removing genes (like agaA) from the bacteria that express them (like Corynebacterium), should attenuate their associated odor. Classical genetic tools can produce gene deletions. Odor-negative deletion mutants, applied to the skin in large numbers, could replace a wild-type strain by the principle of competitive exclusion. However, this approach faces two difficulties:
    1) Gene deletions may reduce fitness, rendering the mutant unable to compete with the WT for a niche.
    2)Genetically Modified Organisms (GMOs) face special regulations and limited public acceptance.

    We propose an alternative strategy to isolate naturally occurring loss-of-function mutants from a complex microbiome. Natural mutants, if they are isolated from the microbiome itself, are likely to retain high fitness. Public acceptance is higher and biosafety concerns are reduced for non-GMO microbes.

    The CRISPR-Cas system has been shown to target DNA sequences for cutting with single-base precision, providing means of targeting genome editing or killing specific pathogens (Jiang et al,, 2013; Gomaa et al., 2014). Here we present a CRISPR-based protocol for isolating pre-existing mutants from a mixed population. Mutants that mismatch a CRISPR target sequence will survive transformation with a CRISPR-expressing plasmid and therefore be enriched in the post-transformation population. In principle, CRISPR-based mutant enrichment does not alter the existing mutant genome and the isolated organisms do not meet the conventional definition of GMOs.

    Results

    As a proof-of-principle, we designed a CRISPR system on a single plasmid with a tracrRNA targeting lacZ. The targeting sequence was designed to match the wild-type sequence, but not a loss-of-function mutant sequence with two point mutations (Fig. 4).

    Our CRISPR system was capable of sequence-specific killing (Fig. 5). Transformation with the lacZ-targeting CRISPR significantly killed less than 98% of wild-type bacteria compared to a control CRISPR with a randomized tracrRNA. In contrast, about 40% of mutant bacteria survived transformation relative to control. This result showed that our construct could selectively kill wild-type bacteria.

    We next used our construct to enrich for mutant bacteria in a mixed population (Fig. 6). Wild-type and lacZ- strains were mixed in measured proportions. Blue/white screening for lacZ activity was applied following transformation to measure the frequency of lacZ- mutants post-transformation. Even when lacZ- mutants represented only 1:106 of the initial population, they represented the large majority of the population post-transformation. In contrast, transformation with randomly-targeted CRISPR produced a linear proportionality between lacZ- frequency before and after transformation.

    CRISPR-mediated cleavage may select for mutants, but it can also induce mutagenesis. To distinguish between these two possibilities we additionally labeled lacZ mutants with a plasmid expressing YFP. Wild-type cells were similarly labeled with CFP. This labeling allowed us to distinguish a CRISPR-selected mutant (lacZ-, YFP+) from a CRISPR-induced mutant (lacZ-, CFP+). We found CRISPR-induced mutagenesis to be rare, representing less than 10% of the total isolated mutants in most cases (Fig. 7).

    To use this system in strains beyond E. coli, we ported the entire CRISPR/Cas system into the broad host-range vector pSEVA351. This new vector is also functional in E. coli (Fig. 8) but carries a viral replication origin that functions in many species. This vector should serve as a tool to enable CRISPR-mediated mutant enrichment in many species of the skin microbiome.

    Methods

    In order use a cloning strain which wouldn't be killed by the CRISPR, the strain BL21-AI has been chosen for all the clonings. However, prior to its use in cloning purposes, its chloramphenicol resistance has been flipped out by the use of the thermosensitive plasmid pCP20. The pCas9 plasmid was the CRISPR vector used. Its targeting sequence has been changed by the use of the enzyme Eco31I (BsaI) in regular cloning technique.

    Regarding the mixing of different strains for the mutant enrichment purpose, after the third washing, the strains were diluted to reach the same OD600 and then mixed in different proportion. They were then washed one more time and resuspended in 1mL of water before electroporation.


    Figure 7. CRISPR induced mutagenesis is rare during mutant isolation. After labeling the wild type with a plasmid expressing CFP and the mutant with a plasmid expressing YFP, we transformed mix of the two strain at a ratio of 1:102. The blue/white screening was then compared to the fluorescence. Colorless colonies expressing CFP fluorescence were representing potential induced mutants. These potential induced mutants represented about 8% of the colorless colonies. However it was found that their colorless phenotype was to be imputed to the imperfect efficiency of the blue/white screening method. This was confirmed by re-streaking on X-gal and sequencing. The colonies were blue after re-streaking, and presented the expected sequence of a wild type.


    Figure 8. Broad-host range CRISPR has a similar efficiency. After cloning the whole CRISPR/Cas system in the vector pSEVA351, we compared its discrimination efficiency to our previous CRISPR/Cas system. It appears the even if the transformation efficiency seems to be in general higher with the new vector, discrimination properties are conserved. Indeed there is about 45% of survival of the mutant when compared to the control non targeting CRISPR.

    3. Sequence Identification of Natural Variants of Odor Genes

    To identify potential natural sequence variants that might provide CRISPR targets, we amplified and sequenced odor-related genes from human sweat samples (Fig. 9). We focused on enzymes producing odorant fermentation products in Staphylococcus species like acetate kinase (ackA) and lactate dehydrogenase (ldh) (Tauch, 2013 et al., 2001).

    We extracted, amplified and sequenced 4 genes from 12 individual sweat samples. A range of synonymous and nonsynonymous mutations were detected (Fig. 10). Each of these mutations represents a CRISPR-selectable target, and some of them may have functional consequences for an individual odor profile.


    Figure 12: Cream with Corynebacterium striatum.


    4.Probiotic Cream: a Cure for Body Odor

    We formulated a basic skin cream to package and deliver live bacteria as a cosmetic. The cream is a water-in-oil emulsion using jojoba oil as a base, beeswax as an emulsifier and soy milk as a bacterial culture medium.

    The soy milk media forms emulsified droplets 100 μM in scale, in which bacteria are protected from dessication. We tested the cream with RFP-expressing E. coli (Video of Cream with fluorescent E. coli) and with wild-type C. striatum (Fig. 12).




    Video of Cream with fluorescent E. coli.





    Centre for Research and Interdisciplinarity (CRI)
    Faculty of Medicine Cochin Port-Royal, South wing, 2nd floor
    Paris Descartes University
    24, rue du Faubourg Saint Jacques
    75014 Paris, France
    +33 1 44 41 25 22/25
    paris-bettencourt-igem@googlegroups.com
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