Difference between revisions of "Team:Toulouse/Results"
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<div id="breadcrumb" class="clear" style="float: center;" > | <div id="breadcrumb" class="clear" style="float: center;" > | ||
<ul> | <ul> | ||
− | <li><a href="#ecoli">- Characteristics of <i>E.coli</i> growth</a></li> | + | <li><a href="#ecoli">- Characteristics of <i>E. coli</i> growth</a></li> |
<li><a href="#biomass">- Biomass, substrate and products</a></li> | <li><a href="#biomass">- Biomass, substrate and products</a></li> | ||
<li><a href="#survival">- Bacteria survival</a></li> | <li><a href="#survival">- Bacteria survival</a></li> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | + | Our final objective is to prepare a bag containing bacteria producing alternatively butyric acid (during the day) | |
− | + | and formic acid (during the night) and for a period of time of at least ten days (so that beekeepers don't have to change them every morning...). | |
− | and formic acid during at least ten days | + | |
<br><br> | <br><br> | ||
− | So we | + | So we face some biological questions: |
</p> | </p> | ||
</div> | </div> | ||
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<ul align="justify" style="font-size:15px;"> | <ul align="justify" style="font-size:15px;"> | ||
− | <li> | + | <li>Can bacteria live during ten days in micro-aerobic conditions?<html></li> |
− | <li>Which carbon source | + | <li>Which carbon source is suitable to produce continuously acids?</li> |
− | <li> | + | <li>Are formic and butyric acids toxic for <i>E. coli</i>?</li> |
</ul> | </ul> | ||
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<div class="subtitle" id="ecoli"> | <div class="subtitle" id="ecoli"> | ||
− | <h3>Characteristics of <i>E.coli</i> growth</h3> | + | <h3>Characteristics of <i>E. coli</i> growth</h3> |
</div> | </div> | ||
<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | In order to | + | In order to characterize the <i>E. coli</i> strain growth in the conditions we plan to use in our device, we used a culture in aerobic and micro-aerobic conditions, measured the growth rate (OD) and analysed the supernatant to measure the concentration of fermentation products. |
− | + | ||
− | and micro-aerobic conditions | + | |
− | + | ||
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | Micro-aerobic condition is obtained | + | Micro-aerobic condition is obtained by cultivation in specific Falcon tubes with holes and covered with a membrane that let the oxygen pass through. They were incubated at 37 °C |
− | + | ||
− | membrane | + | |
− | without agitation | + | without agitation (mimicking the aerobic and lack of agitation condition present in our device). |
</p> | </p> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | + | We used a minimal M9 medium to identify formic or butyric acid production by NMR. | |
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<font color="#EF9D2A"> | <font color="#EF9D2A"> | ||
<br> | <br> | ||
− | <b> | + | <b>Aim: measure formate production of wild-type strains in various culture conditions</b> |
</font> | </font> | ||
</div> | </div> | ||
<div class="group"> | <div class="group"> | ||
<p class="text"> | <p class="text"> | ||
− | In order to plot biomass concentration | + | In order to plot biomass concentration we converted the OD values with the following equation: |
</p> | </p> | ||
</div> | </div> | ||
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<div class="group"> | <div class="group"> | ||
<p class="text"> | <p class="text"> | ||
− | + | Substrate and products concentration was inferred from the peak area of each molecule on the NMR spectrum. | |
<br> | <br> | ||
− | + | Concentrations were calculated with the following equation: | |
</p> | </p> | ||
</div> | </div> | ||
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<center> | <center> | ||
<p class="text"> | <p class="text"> | ||
− | + | Biomass and concentration of various molecules issued from fermentation in aerobic and microaerobic conditions. | |
− | + | ||
</p> | </p> | ||
− | + | <!-- CHANGEMENT DE FIGURE <img src="https://static.igem.org/mediawiki/2015/0/08/TLSE_Devicebio_image1.PNG" style="width:60%;"/> | |
<p class="legend">Figure 18: Results of aerobic culture. Culture of BW25113 in M9 medium with [glucose] = 15 mM, in Erlenmeyer at 37 °C </p> | <p class="legend">Figure 18: Results of aerobic culture. Culture of BW25113 in M9 medium with [glucose] = 15 mM, in Erlenmeyer at 37 °C </p> | ||
<img src="https://static.igem.org/mediawiki/2015/2/2b/TLSE_Devicebio_image2.PNG" style="width:60%;"/> | <img src="https://static.igem.org/mediawiki/2015/2/2b/TLSE_Devicebio_image2.PNG" style="width:60%;"/> | ||
− | <p class="legend">Figure 19: Results of micro-aerobic culture. Culture of <i> E. coli</i> BW25113 in M9 medium with [glucose] = 15 mM, in Falcon at 37 °C </p> | + | <p class="legend">Figure 19: Results of micro-aerobic culture. Culture of <i> E. coli</i> BW25113 in M9 medium with [glucose] = 15 mM, in Falcon at 37 °C </p> --> |
</center> | </center> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | Glucose is consumed approximately at the same rate for both conditions but | + | Glucose is consumed approximately at the same rate for both conditions but is converted differently depending on the condition. In aerobic condition the biomass reaches 3 g/L whereas in micro-aerobic condition there is six times less biomass. On the contrary, there are far less products in aerobic conditions. |
</p> | </p> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | + | Our results are in line with our objective to produce acids in a microporous bag because we demonstrate that with microaerobic conditions, bacteria grow slowly and produce fermentation products. | |
</p> | </p> | ||
</div> | </div> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | + | To convert the concentration of formate into formic acid we use the famous Henderson Hasselbalch equation: | |
− | + | ||
− | acid | + | |
− | we | + | |
− | + | ||
− | + | ||
− | + | ||
− | |||
− | |||
</p> | </p> | ||
</div> | </div> | ||
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<ul style="font-size:15px;"> | <ul style="font-size:15px;"> | ||
− | <li> | + | <li>pH = 7 (pH of the M9 culture).</li> |
− | </li> | + | <li>pKa: 3.7 for formic acid and 4.8 for butyric acid</li> |
− | <li>pKa: 3.7 for formic acid and 4. | + | |
<li>C<SUB>b</SUB>: base concentration</li> | <li>C<SUB>b</SUB>: base concentration</li> | ||
<li>C<SUB>a</SUB>: acid concentration</li> | <li>C<SUB>a</SUB>: acid concentration</li> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | As | + | As mentioned in the <a target="_blank" href="https://2015.igem.org/Team:Toulouse/Experiments#mortalV">Eradicate></a> part, our goal is to produce 50 µM of formic acid to kill varroa, and this corresponds to 77,7 mM of formate. |
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | + | In our microaerobic conditions, the natural <i>E. coli</i> strain produces 32 mM of formate. It is therefore necessary to further improve the metabolic production by adding genes involved in formate production in order to increase it by a factor of 240%. For a perfect regulation it would be necessary to delete the chromosomic version of <i>pflB</i> in <i>E. coli</i> genome to avoid formate production during the day. | |
− | + | ||
− | It is necessary to | + | |
− | involved in formate production | + | |
− | to | + | |
− | increase it by 240%. For a perfect | + | |
− | regulation it would be necessary to | + | |
− | delete <i>pflB</i> in <i>E.coli</i> genome to | + | |
− | avoid formate production | + | |
</p> | </p> | ||
</div> | </div> | ||
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<font color="#EF9D2A"> | <font color="#EF9D2A"> | ||
<br> | <br> | ||
− | <b> | + | <b>Conclusion: natural <i>E. coli</i> strains produce formate in microaerobic conditions but production has to be further improved with metabolic engineering of the formate pathway.</b> |
+ | |||
+ | |||
</font> | </font> | ||
</div> | </div> | ||
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<font color="#EF9D2A"> | <font color="#EF9D2A"> | ||
<br> | <br> | ||
− | <b> | + | <b>Aim: verify how survives <i>E. coli</i> in long culture conditions</b> |
</font> | </font> | ||
</div> | </div> | ||
<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | As | + | As explained <a target="_blank" href="https://2015.igem.org/Team:Toulouse/Experiments#platecult">here</a> calculation of the survival of bacteria was perfomed via colony counting after plating on solid agar medium. Wild-type bacteria can easily survive at least 15 days in aerobic or microaerobic conditions without a carbon source. We hypothesize that in the presence of a carbon source, we may be able to extend even further their survival time period. |
</p> | </p> | ||
</div> | </div> | ||
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<center><img src="https://static.igem.org/mediawiki/2015/5/56/TLSE_Devicebio_image3.PNG" style="width:60%;"/></center> | <center><img src="https://static.igem.org/mediawiki/2015/5/56/TLSE_Devicebio_image3.PNG" style="width:60%;"/></center> | ||
<div class="group center"> | <div class="group center"> | ||
− | <p class="legend">Figure 20: Bacteria survival | + | <p class="legend">Figure 20: Bacteria survival test performed with the BW25113 strain on M9 with 15 mM of glucose during 15 days. </p> |
− | + | ||
− | + | ||
− | + | ||
</div> | </div> | ||
<div style="font-size:14px;"> | <div style="font-size:14px;"> | ||
<font color="#EF9D2A"> | <font color="#EF9D2A"> | ||
− | + | <b>Conclusion: <i>E. coli</i> can survive at least 15 days in normal culture conditions</b> | |
− | <b> | + | |
</font> | </font> | ||
</div> | </div> | ||
− | + | <br> | |
+ | <br> | ||
<!---partie bio2---> | <!---partie bio2---> | ||
<center><div class="title" id="carbon"> | <center><div class="title" id="carbon"> | ||
− | <h3>Choice of carbon source to | + | <h3>Choice of the carbon source to sustain formic and butyric acids production during 10 days<h3> |
</div></center> | </div></center> | ||
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<li><a href="#biosilta">- Characteristics of Biosilta kit</a></li> | <li><a href="#biosilta">- Characteristics of Biosilta kit</a></li> | ||
<li><a href="#grosilta">- Growth culture with Biosilta kit</a></li> | <li><a href="#grosilta">- Growth culture with Biosilta kit</a></li> | ||
− | <li><a href="#acid">- | + | <li><a href="#acid">- Modelling of formic and butyric acids production</a></li> |
<li><a href="#conc">- Testing different concentrations of Biosilta kit</a></li> | <li><a href="#conc">- Testing different concentrations of Biosilta kit</a></li> | ||
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<div class="subsubtitle" id="biosilta"> | <div class="subsubtitle" id="biosilta"> | ||
− | <h3>Characteristics of Biosilta kit</h3> | + | <h3>Characteristics of the Biosilta kit</h3> |
</div> | </div> | ||
<div style="font-size:14px;"> | <div style="font-size:14px;"> | ||
<font color="#EF9D2A"> | <font color="#EF9D2A"> | ||
<br> | <br> | ||
− | <b> | + | <b>Aim: determination of the right enzyme concentration for controlling <i>E. coli</i> growth</b> |
</font> | </font> | ||
</div> | </div> | ||
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<p class="text"> | <p class="text"> | ||
En Presso B is a technology which enables production of a lot of | En Presso B is a technology which enables production of a lot of | ||
− | recombinant proteins | + | recombinant proteins owing to a slow carbon source delivery during |
− | 24 hours. This technology is based on polymer degradation by an enzyme | + | 24 hours. This technology is based on polymer degradation by an depolymerisation enzyme |
− | leading to a control of the | + | leading to a perfect control of the quantity of substrate released in the medium for a given period of time. |
− | We | + | We wanted to use this technology to cultivate our cells during one |
− | or two weeks in | + | or two weeks in conditions allowing the production of butyrate and formate. |
The medium with the polymer was solid and contained in separate bags. | The medium with the polymer was solid and contained in separate bags. | ||
− | + | In order to quantify the production of butyrate and formate in these conditions, we | |
− | + | first performed a test with a high concentration of the enzyme (50 U/L) and measured the kinetics of the polymer degradation. | |
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="legend"> | <p class="legend"> | ||
− | Figure 21: | + | Figure 21: Kinetics of Biosilta polymer degradation measured with glucose release. |
− | + | ||
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<div class="group"> | <div class="group"> | ||
<p class="text"> | <p class="text"> | ||
− | In order to have a global idea of the | + | In order to have a global idea of the release of glucose per unit of time we then calculated the average rate of release with the following formula. |
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<p class="text"> | <p class="text"> | ||
With a final glucose concentration of 13 g/L for one bag of polymer, | With a final glucose concentration of 13 g/L for one bag of polymer, | ||
− | + | the rate of glucose release necessary to have glucose during 13 days can be calculated with the following formula. | |
− | during 13 days. | + | |
</p> | </p> | ||
</div> | </div> | ||
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<div class="group"> | <div class="group"> | ||
<p class="text"> | <p class="text"> | ||
− | So, the concentration of enzyme that we | + | So, the concentration of enzyme that we have to use should be: |
</p> | </p> | ||
</div> | </div> | ||
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<font color="#EF9D2A"> | <font color="#EF9D2A"> | ||
<br> | <br> | ||
− | <b> | + | <b>Conclusion: we now know the eact concentration of enzyme to use in the BioSilta kit in order to release glucose for 13 days.</b> |
+ | <br> | ||
+ | <br> | ||
</font> | </font> | ||
</div> | </div> | ||
<div class="subsubtitle" id="grosilta"> | <div class="subsubtitle" id="grosilta"> | ||
− | <h3>Growth | + | <h3>Growth assessment using the Biosilta kit<h3> |
</div> | </div> | ||
<div style="font-size:14px;"> | <div style="font-size:14px;"> | ||
<font color="#EF9D2A"> | <font color="#EF9D2A"> | ||
<br> | <br> | ||
− | <b> | + | <b>Aim: perform various culture conditions to verify the optimal enzyme concentration in real culture conditions</b> |
</font> | </font> | ||
</div> | </div> | ||
<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | As we do not know any growth | + | As we do not know any growth characteristics of bacteria in the Biosilta |
medium we tested different enzyme concentrations and not | medium we tested different enzyme concentrations and not | ||
− | only the one | + | only the one calculated precedently. Acquisition of the growth stopped due to a problem with the plate reading system where the bacteria where growing. Hence, there is a break at 5 days. |
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<p class="legend"> | <p class="legend"> | ||
Figure 22: Bacteria growth as a function of different enzyme | Figure 22: Bacteria growth as a function of different enzyme | ||
− | concentrations in Biosilta medium. | + | concentrations in Biosilta medium. Growth tests were performed in 48 wells |
− | + | plates attached to an OD reader. | |
</p> | </p> | ||
</center> | </center> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | Except for 1.5 U/L enzyme, | + | Except for the 1.5 U/L enzyme concentration, there is an increase of OD in all conditions during 12 days. This meanes that glucose |
− | releasing | + | releasing functions as expected. At the beginning there is |
− | an exponential growth because some glucose is directly available | + | an exponential growth because some glucose is directly available in the |
− | medium. | + | medium. This phase is therefore not the one to analyse. After 2 days and until the end, the growth rate changes gradually and becomes constant, at the highest between 2 and 4 days and decreasing thereafter. |
− | + | ||
− | + | ||
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | + | We therefore know that it is possible to have continuous | |
− | growth during at least 12 days. | + | growth during at least 12 days. However, in our control |
− | without enzyme, | + | without enzyme, there is also some bacterial growth so either another substrate is available or bacteria can readily degrade the polymer. More tests will be needed to verify if and how <i>E. coli</i> can use this polymer. |
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | In order to answer these questions we | + | In order to answer these questions we performed some cultures in Falcon tubes in order |
− | to | + | to analyse the products and the evolution of the polymer quantity. Culture without enzyme and with a concentration of enzyme of 0.72 U/L were performed. |
− | + | ||
− | + | ||
− | + | ||
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<p class="legend"> | <p class="legend"> | ||
− | + | ||
</p> | </p> | ||
</center> | </center> | ||
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<p class="legend"> | <p class="legend"> | ||
− | + | ||
</p> | </p> | ||
</center> | </center> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | Figure 23 shows that polymer is not degraded | + | Figure 23 (right panel) shows that the polymer is not degraded by <i>E. coli</i> which is probably capable of finding another carbon source within the Biosilta medium. The concentration of products (left panel) is clearly different in the two conditions: with the enzyme, more fermentation products are formed. |
− | + | ||
− | + | ||
− | + | ||
<br><br> | <br><br> | ||
− | + | ||
− | + | ||
− | + | ||
<br><br> | <br><br> | ||
− | Fermentation products have high concentrations in comparison to | + | Fermentation products have high concentrations in comparison to the cultures in performed in M9 (15 mM glucose), around 20 times more for lactate, 3 times more for acetate and 2 times more for ethanol. We hypothesize that by deleting the various production pathways for lactate, acetate and ethanol and the degradation pathway for formate we should be able to produce enough formate. |
<br><br> | <br><br> | ||
</p> | </p> | ||
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<font color="#EF9D2A"> | <font color="#EF9D2A"> | ||
<br> | <br> | ||
− | <b> | + | <b>Conclusion: Fermentation products concentration is higher with the enzymatic degradation of the Biosilta polymer. </b> |
</font> | </font> | ||
</div> | </div> | ||
<div class="subsubtitle" id="acid"> | <div class="subsubtitle" id="acid"> | ||
− | <h3> | + | <h3>Modelling of formic and butyric acid production</h3> |
</div> | </div> | ||
<div style="font-size:14px;"> | <div style="font-size:14px;"> | ||
<font color="#EF9D2A"> | <font color="#EF9D2A"> | ||
<br> | <br> | ||
− | <b> | + | <b>Aim: model the production of formic and butyric acids in fucntion of the glucose release rates (Biosilta medium).</b> |
</font> | </font> | ||
</div> | </div> | ||
<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | With the rate of glucose calculated above, an FBA and FVA simulation were launched as explained in <a target="_blank">Modeling part</a>. | + | With the rate of glucose release calculated above, an FBA and FVA simulation were launched as explained in <a target="_blank">Modeling part</a>. |
Some conversion between the model and the real condition are necessary and they are also explained there. | Some conversion between the model and the real condition are necessary and they are also explained there. | ||
<br> | <br> | ||
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<p class="legend"> | <p class="legend"> | ||
− | Figure 25: Modeling of formic acid production as a function of different growth rates for a glucose | + | Figure 25: Modeling of formic acid production as a function of different growth rates for a glucose release of 0.0403 g.L<sup>-1</sup>.h<sup>-1</sup>. |
</p> | </p> | ||
</center> | </center> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | Our goal was to produce at least | + | Our goal was to produce at least 50 µmol/L. The graph clearly shows a maximum production of 6 µmol/L. To reach our goal we then have to change the growth rate. |
− | + | ||
</p> | </p> | ||
</div> | </div> | ||
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<p class="legend"> | <p class="legend"> | ||
− | Figure 26 : | + | Figure 26 : Modelling formic acid production as a function of glucose release for different growth rates (in h<sup>-1</sup>). |
</p> | </p> | ||
</center> | </center> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | To produce 50 µmol/L of formic acid different strategies | + | To produce 50 µmol/L of formic acid different strategies are possible. |
− | + | If we choose a low growth rate then a low glucose rate is be necessary and vice-versa. | |
As bacteria have to live during at least ten days it was better to have a continuous slow growth rate. | As bacteria have to live during at least ten days it was better to have a continuous slow growth rate. | ||
Moreover, it would consume less glucose per hour so we would need a lower polymer concentration in our bag at the beginning. | Moreover, it would consume less glucose per hour so we would need a lower polymer concentration in our bag at the beginning. | ||
− | Thus, we chose a growth rate of 0.2h-1, and we could determinate the glucose | + | Thus, we chose a growth rate of 0.2h<sup>-1</sup>, and we could determinate the glucose release value needed. |
</p> | </p> | ||
</div> | </div> | ||
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<div class="group"> | <div class="group"> | ||
<p class="text"> | <p class="text"> | ||
− | Now, we will see which butyric acid concentration we | + | Now, we will see which butyric acid concentration we can theoretically produce. |
</p> | </p> | ||
</div> | </div> | ||
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<p class="legend"> | <p class="legend"> | ||
− | Figure 27: | + | Figure 27: Modelling of butyric acid production as a function of glucose release for different growth rates. |
</p> | </p> | ||
</center> | </center> | ||
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<div class="group center"> | <div class="group center"> | ||
<p class="text"> | <p class="text"> | ||
− | According to | + | According to the modelling results described in figure 10, we have to produce around 100µmol/L of butyric acid |
− | that corresponds to 0.0092% (V/V). As | + | that corresponds to 0.0092% (V/V). As explained in the "Results" part, <a href="https://2015.igem.org/Team:Toulouse/Results#varrotest">"attract"</a> section, |
− | our objective was to produce at least 0.00001%, so | + | our objective was to produce at least 0.00001%, so the modelling indicates that we can theoretically reach it. |
<br><br> | <br><br> | ||
Nevertheless, in order to have this right glucose rate it was necessary to calculate how much polymer is needed at the beginning and which enzyme concentration. | Nevertheless, in order to have this right glucose rate it was necessary to calculate how much polymer is needed at the beginning and which enzyme concentration. |
Revision as of 21:19, 18 September 2015
Results
Content
Attract
Tests on varroas
Aim: to proove again varroa attraction for butyrate
In the US patent US 8647615 B1, the concentration of butyric acid that attracts varroa mites is 4 % (V/V), but the final description specified the concentration is efficient from 0.00001 %.
In order to verify the results presented in this patent and to make sure we are able to perform such experiment, we designed an attraction test for varroas. Champollion University in Albi welcomed us in their lab to get access to varroas. At the time of this test, there were not a lot of varroas available, so we add to make only one test in order to hope a significant result. Hence, we used the mentioned 4 % butyric acid concentration, like the one first mentioned in the patent.
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Figure 1: Butyric acid test pie chart and statistical test
This test demonstrated that a solution of 4 % butyric acid attracts varraos. However, in the Cytotoxicity. part of the results, we also show that this 4% concentration is lethal for bacteria. We therefore decided to aim for a minimal concentration of 0.00001 % butyric acid, even if further experimentation will have to demonstrate the efficiency of this lower threeshold.
Cloning butyrate genes
Aim: to create the genetic tool to implement a butyrate pathway in E. coli
We designed and ordered synthetic genes to express the full pathway minus the ccr gene. The latter was already placed behind lacI to be ready for circadian circle regulation. Thus, to build a biobrick with the full pathway, we cloned the ccr gene with all the genes necessary for butyrate production, as peresented below:
Figure 2: assembly of the synthetic pathway leading to butyrate production (5220 Kb). The first arrow represents the promoter, the others represent genes. The green circles are for the RBS and the red circle is for the terminator. Purple genes are originated from Streptomyces collinus, blue genes from Clostridium acetobutylicum and yellow genes from Escherichia coli.
This construction (BBa_K1587004) was inserted in the plasmid pSB1C3 to be provided to the Igem in the biobrick format.
Figure 3: Gel electrophoresis of the digestion of the (BBa_K1587004). The size of the first DNA fragment matches 5192 pb (butyrate construction) and the size of the second one (2070 pb) matches linearized pSB1C3.
Test of butyrate production
Aim: to produce butyrate in E. coli
In order to test butyrate production, we cultivated ApiColi under micro-aerobic conditions to simulate the growth conditions in the device. After having harvested the supernatant of the culture, we filtrated it prior to do NMR analysis.
We tested our genetic construction in the E. coli strain BW25113 but we did not detect butyrate production. To improve the production of butyrate, we repeated the experiment in a strain with a deletion of the phosphate acetyltransferase gene. This strain produces lower amount of acetate, a fermentation product whose production is likely to compete with butyrate.
Figure 5: Test of butyrate production in E. coli strain deleted for pta gene. Culture in micro-aerobic condition in 10 mL falcon, result obtained after 28.5 hours culture.
Unfortunately we could not detect butyric acid in our NMR analysis, but we observed significative differences for other fermentation products, prooving that the synthetic pathway is actually interfering with the fermentation products metabolism. Additional experiments will be needed to go further (test of our enzymes expression, measurements of intracellular pools to identify metabolic locks, growth at other pH, deletions to prevent the accumulation of other fermentation products as explained in [1]...).
Conclusion: butyrate production has to be improved in our strain and/or conditions
In a nutshell:
butyrate is an effective attractant for the varroas. Its synthetic pathway has been implemented in E. coli. Butyrate production from this pathway remains to be demonstrated prior to testing the strain with varroas.
Eradicate
Tests on varroas
Question: determining the formate concentration sufficient to kill Varroa destructor
In order to determinate the amount tof formic acid required to kill the mite, we tested different concentrations of formic acid on varroas as explained in the Protocol part.
Figure 6: Mortality of varroas as a function of time for different formic acid concentrations
Figure 7: Histogram representing mortality of varroas after 2 hours and after 7 hours
Figure 6 presents a dose-dependency of formic acid on varroa mortality. At 10mM formic acid, all varroas died before three hours but as we explain in the Protocol part, varroas also stop moving at lesser concentrations. Figure 7 shows that even with 50 µM of formate, around 30 % varroas died after 7 hours (so close to a night duration). We therefore set our production goal around 50 µmol.L-1.
Conclusion: 50 µmol.L-1 could be sufficient to kill varroas
Test of formate production
Aim: to increase the production of formate in E. coli
For formate production, we designed a synthetic operon coding for pyruvate formate lyase and its activator protein. The operon was cloned in a pUC57 plasmid to be tested for formate production. We then made a biobrick by subcloning the operon in the pSB1C3 plasmid (BBa_K1587007).
Figure 8: extracellular substrate and product concentrations with or without formate operon overexpression in micro-aerobic conditions.
Figure 8 shows that the only difference between ApiColi and the control is in the formate accumulation, so we plotted the specific histogram for formate after 3 days (Figure 9). This highlights that formate production is increased significantly by 10%.
Figure 9: Formate production tests after 3 days cultivation in micro-aerobic conditions.
As mentioned earlier, our goal was to produce 50µM of formic acid in 7 hours. To reach this quantity, we needed to produce 77mM of formate. We observed a maximal formate concentration of 25mM (Figure 8). Therefore our production level is not far from the target. By improving the strain and/or conditions (as for "Test of butyrate production"), we can reasonably hope to attain this goal.
Conclusion: formate production was increased with our synthetic construction
In a nutshell:
formate is effective to kill varroas from as low as 50 µmol.L-1. Overexpressing its biosynthetic genes allow obtaining a 10 % increase in production. Optimizing this production will have to be achieved before testing the strain capacity to kill varroas.
ApiColi containment and culture
Growth tests in TPX bag
Aim: to perform the growth of the modified strain in a sealed container
We investigated if the bacteria can grow inside a small bag of TPX®. Thus, the strain E. coli BW 25113 has been inoculated in a small bag that was sealed. The bag was placed inside a tube and incubated at 37 °C. Growth was visualy assessed in the bags after 17 hours at 37°C (figure 9), or with a culture in tube with agitation as a control over the same period (figure 11). This showed that the cells were able to proliferate in the plastic bag.
Figure 10: Growth test of E. coli BW 25113 inside a small bag of TPX®.
(t = 17 hours, 37 °C).
Figure 11: Control of figure 10 with a growth test of E. coli BW 25113 in a culture tube.
The culture tube contains bacteria growing in parallel of the biological sample tubes shown above (t = 17 hours, 37 °C, 130 rpm).
We then asssessed the biomass evolution during long term growth in the TPX® bag (7 to 10 days). Figure 12 displays the result. The growth tendency is toward a continous increase over the experiment time.
Figure 12: Growth test in TPX® bag by monitoring OD at 600 nm over 7 days to 10 days.
We then checked the viability of the cells after 10 days of growth in the TPX® bag (tube 1, 1' and 2) or in the control tube (tube 3), by spreading diluted volume of the cultures on petri plates. Similar numbers of colonies were obtained, indicating that the cells survival is the same in both culture conditions.
Figure 13: Colonies of E. coli BW 25113 on Petri dishes after an overnight incubation at 37°C to check survivability.
Conclusion: the strain can grow and survive over 10 days in the TPX® bag.
Gas diffusion tests
Aim: ensuring that formate and butyrate permeate through the TPX® bag
For our system to be efficient, it is necessary to check that butyrate and formate can permeate through the TPX® bag. This was verified as described in the Protocol section. Shortly, a solution of butyrate or formate was placed in the TPX® bag. The molecules exchanged between the bag and the surrounding air were desorbed in a solution of sodium bicarbonate. This resulting solution was analysed by NMR.
On a first assay, we did not detect any permeation of butyric acid through the TPX® bag. The same experiment was therefore performed by placing directly the bag in the solution of sodium bicarbonate. The control is an injection of a 4% (V/V) solution of butyric acid in water.
Figure 14: NMR Spectrum of butyric acid liquid control in red and butyric acid liquid which passed through TPX bag in blue. * Blue curve is zoomed 1340 times more than red curve. Each condition was tested in two replicates.
Table 15: Concentrations of butyric acid calculated from the NMR spectrum
From these results, we can conclude that the TPX® allows butyric acid
to weakly pass outside the bag. We detect only a small quantity but
an optimization of the device could be made with a plastic containing
bigger pores.
For the formic acid, we were able to detect it in the gas, probably because its pKa is lower than the butyric acid one.
Figure 16: NMR spectrum of formic acid gas control in red and formic acid gas which passed through TPX bag in blue.
Table 2: Concentrations of formic acid corresponding to NMR spectrum
Accordingly to these results, TPX® allows 56% of formic acid to pass outside the bag in the gas phase. Therefore, formic acid permeate through the TPX plastic. Using a more porous plastic as proposed for the butyrate, we suppose this percentage to further increase.
Conclusion: formate permeates through the TPX® while butyrate exchange will need to be improved
Safety tests
Aim: demonstration of TPX® capacity to retain the bacteria
The bacteria impermeability of the TPX® was tested through inoculation of the strain
E. coli BW 25113 in M9 defined medium complemented with glucose inside the bag. Then, the inoculated bag was immersed in a glass measuring cylinder containing M9 medium with glucose. OD600 nm served to monitor a putative growth in the external medium.
Figure 17: Measuring cylinders used for the safety test of the TPX® polymer.
The cylinder on the left contains the TPX® bag with E. coli BW 25113 immersed in M9 medium after 27 hours of growth at 37 °C. On the right, the negative control cylinder contains a bag of TPX® without bacteria after 27 hours of growth at 37 °C.
Over this time, no growth was detected in the medium surrounding the plastic bag. We conclude that the bacteria are contained in the bag.
Conclusion: bacteria cannot permeate through the TPX® material
In a nutshell:
The TPX® material successfully contains growing bacteria while allowing the diffusion of formate and, in a lesser extend, of butyrate. These tests will profit to all Igem teams looking for a solution to contain their strains .
Growth tests
Our final objective is to prepare a bag containing bacteria producing alternatively butyric acid (during the day)
and formic acid (during the night) and for a period of time of at least ten days (so that beekeepers don't have to change them every morning...).
So we face some biological questions:
- Can bacteria live during ten days in micro-aerobic conditions?
- Which carbon source is suitable to produce continuously acids?
- Are formic and butyric acids toxic for E. coli?
Characteristics of E. coli growth
In order to characterize the E. coli strain growth in the conditions we plan to use in our device, we used a culture in aerobic and micro-aerobic conditions, measured the growth rate (OD) and analysed the supernatant to measure the concentration of fermentation products.
Micro-aerobic condition is obtained by cultivation in specific Falcon tubes with holes and covered with a membrane that let the oxygen pass through. They were incubated at 37 °C without agitation (mimicking the aerobic and lack of agitation condition present in our device).
Aerobic condition is obtained with a classical Erlenmeyer incubated at 37 °C with agitation.
We used a minimal M9 medium to identify formic or butyric acid production by NMR.
Biomass, substrate and products
Aim: measure formate production of wild-type strains in various culture conditions
In order to plot biomass concentration we converted the OD values with the following equation:
$$ X=OD_{600nm}\times 0,4325 $$
Where X is the cell concentration (g.L-1)
Substrate and products concentration was inferred from the peak area of each molecule on the NMR spectrum.
Concentrations were calculated with the following equation:
$$[A]=\frac{Area_{molecule}}{Area_TSP} \times [TSP] \times \frac{\textrm{TSP proton number}}{\textrm{A proton number}} \times DF $$
- [A] = concentration of molecule in our solution in mM
- AreaTSP = 1
- [TSP] = 1.075 mM
concentration of Trimethylsilyl propanoic acid in NMR tube, internal reference for quantification - TSP proton number = 9
- DF = Dilution Factor = 1.25
Biomass and concentration of various molecules issued from fermentation in aerobic and microaerobic conditions.
Glucose is consumed approximately at the same rate for both conditions but is converted differently depending on the condition. In aerobic condition the biomass reaches 3 g/L whereas in micro-aerobic condition there is six times less biomass. On the contrary, there are far less products in aerobic conditions.
Our results are in line with our objective to produce acids in a microporous bag because we demonstrate that with microaerobic conditions, bacteria grow slowly and produce fermentation products.
To convert the concentration of formate into formic acid we use the famous Henderson Hasselbalch equation:
$$ pH=pKa+log \left(\frac{C_{b}}{C_{a}} \right) $$
- pH = 7 (pH of the M9 culture).
- pKa: 3.7 for formic acid and 4.8 for butyric acid
- Cb: base concentration
- Ca: acid concentration
As mentioned in the Eradicate> part, our goal is to produce 50 µM of formic acid to kill varroa, and this corresponds to 77,7 mM of formate.
In our microaerobic conditions, the natural E. coli strain produces 32 mM of formate. It is therefore necessary to further improve the metabolic production by adding genes involved in formate production in order to increase it by a factor of 240%. For a perfect regulation it would be necessary to delete the chromosomic version of pflB in E. coli genome to avoid formate production during the day.
Conclusion: natural E. coli strains produce formate in microaerobic conditions but production has to be further improved with metabolic engineering of the formate pathway.
Bacteria survival
Aim: verify how survives E. coli in long culture conditions
As explained here calculation of the survival of bacteria was perfomed via colony counting after plating on solid agar medium. Wild-type bacteria can easily survive at least 15 days in aerobic or microaerobic conditions without a carbon source. We hypothesize that in the presence of a carbon source, we may be able to extend even further their survival time period.
Figure 20: Bacteria survival test performed with the BW25113 strain on M9 with 15 mM of glucose during 15 days.
Choice of the carbon source to sustain formic and butyric acids production during 10 days
Characteristics of the Biosilta kit
Aim: determination of the right enzyme concentration for controlling E. coli growth
En Presso B is a technology which enables production of a lot of recombinant proteins owing to a slow carbon source delivery during 24 hours. This technology is based on polymer degradation by an depolymerisation enzyme leading to a perfect control of the quantity of substrate released in the medium for a given period of time. We wanted to use this technology to cultivate our cells during one or two weeks in conditions allowing the production of butyrate and formate. The medium with the polymer was solid and contained in separate bags. In order to quantify the production of butyrate and formate in these conditions, we first performed a test with a high concentration of the enzyme (50 U/L) and measured the kinetics of the polymer degradation.
Figure 21: Kinetics of Biosilta polymer degradation measured with glucose release.
In order to have a global idea of the release of glucose per unit of time we then calculated the average rate of release with the following formula.
$$ v_{glucose1}=\frac{[glucose]}{time}=\frac{11.1}{3.97}=2.80 g.L^{-1}.h^{-1} , for [E]_{1}=50 U.L^{-1} (4) $$
With a final glucose concentration of 13 g/L for one bag of polymer, the rate of glucose release necessary to have glucose during 13 days can be calculated with the following formula.
$$ v_{glucose2}=\frac{13}{13 days}=\frac{13}{322 hours}=0.0403 g.L^{-1}.h^{-1} (5) $$
The reduction factor was calculated:
$$ RF=\frac{v_{glucose1}}{v_{glucose2}}=\frac{2.8}{0.0403}=69.44 (6)$$
So, the concentration of enzyme that we have to use should be:
$$ [E]_{2}=\frac{[E]_{1}}{RF}=\frac{50}{69.44}=0.72 U.L^{-1} (7)$$
Conclusion: we now know the eact concentration of enzyme to use in the BioSilta kit in order to release glucose for 13 days.
Growth assessment using the Biosilta kit
Aim: perform various culture conditions to verify the optimal enzyme concentration in real culture conditions
As we do not know any growth characteristics of bacteria in the Biosilta medium we tested different enzyme concentrations and not only the one calculated precedently. Acquisition of the growth stopped due to a problem with the plate reading system where the bacteria where growing. Hence, there is a break at 5 days.
Figure 22: Bacteria growth as a function of different enzyme concentrations in Biosilta medium. Growth tests were performed in 48 wells plates attached to an OD reader.
Except for the 1.5 U/L enzyme concentration, there is an increase of OD in all conditions during 12 days. This meanes that glucose releasing functions as expected. At the beginning there is an exponential growth because some glucose is directly available in the medium. This phase is therefore not the one to analyse. After 2 days and until the end, the growth rate changes gradually and becomes constant, at the highest between 2 and 4 days and decreasing thereafter.
We therefore know that it is possible to have continuous growth during at least 12 days. However, in our control without enzyme, there is also some bacterial growth so either another substrate is available or bacteria can readily degrade the polymer. More tests will be needed to verify if and how E. coli can use this polymer.
In order to answer these questions we performed some cultures in Falcon tubes in order to analyse the products and the evolution of the polymer quantity. Culture without enzyme and with a concentration of enzyme of 0.72 U/L were performed.
Figure 23 (right panel) shows that the polymer is not degraded by E. coli which is probably capable of finding another carbon source within the Biosilta medium. The concentration of products (left panel) is clearly different in the two conditions: with the enzyme, more fermentation products are formed.
Fermentation products have high concentrations in comparison to the cultures in performed in M9 (15 mM glucose), around 20 times more for lactate, 3 times more for acetate and 2 times more for ethanol. We hypothesize that by deleting the various production pathways for lactate, acetate and ethanol and the degradation pathway for formate we should be able to produce enough formate.
Conclusion: Fermentation products concentration is higher with the enzymatic degradation of the Biosilta polymer.
Modelling of formic and butyric acid production
Aim: model the production of formic and butyric acids in fucntion of the glucose release rates (Biosilta medium).
With the rate of glucose release calculated above, an FBA and FVA simulation were launched as explained in Modeling part.
Some conversion between the model and the real condition are necessary and they are also explained there.
In order to model production in the most similar conditions to fit real experiment we chose a glucose rate of 0.0403 g.L-1.h-1 that correspond to 0.72 U/L of enzyme.
To convert formate production into formic acid concentration we used equation (3).
Figure 25: Modeling of formic acid production as a function of different growth rates for a glucose release of 0.0403 g.L-1.h-1.
Our goal was to produce at least 50 µmol/L. The graph clearly shows a maximum production of 6 µmol/L. To reach our goal we then have to change the growth rate.
Figure 26 : Modelling formic acid production as a function of glucose release for different growth rates (in h-1).
To produce 50 µmol/L of formic acid different strategies are possible. If we choose a low growth rate then a low glucose rate is be necessary and vice-versa. As bacteria have to live during at least ten days it was better to have a continuous slow growth rate. Moreover, it would consume less glucose per hour so we would need a lower polymer concentration in our bag at the beginning. Thus, we chose a growth rate of 0.2h-1, and we could determinate the glucose release value needed.
[Formic acid] (μmol.L-1 )=166.88 ×[Glucose] (g.L-1.h-1 ) (9) $$ [Glucose] = \frac{50}{166.88}=0.3 g.L^{-1}.h^{-1} (10) $$
Now, we will see which butyric acid concentration we can theoretically produce.
Figure 27: Modelling of butyric acid production as a function of glucose release for different growth rates.
According to the modelling results described in figure 10, we have to produce around 100µmol/L of butyric acid
that corresponds to 0.0092% (V/V). As explained in the "Results" part, "attract" section,
our objective was to produce at least 0.00001%, so the modelling indicates that we can theoretically reach it.
Nevertheless, in order to have this right glucose rate it was necessary to calculate how much polymer is needed at the beginning and which enzyme concentration.
With the same equations as we used in Characteristics of Biosilta kit
we could determine which quantity of glucose is needed in total during a fortnight.
$$[Glucose]=v_{glucose}\times time=0.3\times 322=96.6 g.L^{-1} (11)$$
Knowing that one Biosilta kit contains the equivalence of 13 g/L of glucose, we had to concentrate the medium 7 times. Concerning the glucose rate, the 0.3 g.L-1.h-1 value correspond to 5 U/L of enzyme. Thus, we tested different concentrations of Biosilta medium with different enzyme concentrations.
Question: could we proove again varroa attraction for butyrate
Testing different concentrations of Biosilta kit
Question: could we proove again varroa attraction for butyrate
As we did not know the exact composition of Biosilta medium, we are not able to say if there is a molecule which could be toxic at high concentrations. We could only have a global analysis on our results :
Figure 28: Bacteria growth as a function of time on Biosilta medium concentrated 6 times. Culture with BW25113 on 48 wells plate and optical reader
There was hardly any growth during three first days, bacteria probably adapted themselves to the medium. During 3 days until the end, OD increased up to 1 for 1.5 U/L enzyme but it was still slow. Moreover, bacteria grew better with 0.72 and 1.5 U/L than with 3 or 4 U/L. It could be explained by an excess of glucose that inhibits bacteria growth. Indeed, enzyme could release too much glucose, that bacteria would not consume this fast, then glucose accumulated itself in medium. We tested with a less concentrated medium in order to see if latency period could be reduce.
Figure 29: Bacteria growth as a function of time on Biosilta medium concentrated 4 times. Culture with BW25113 on 48 wells plate and optical reader
With a 4 times concentrated medium, there was no latency period anymore but enzyme concentration did not seem to affect bacteria growth. Bacteria probably consumed all free glucose in medium and then enzyme did not have enough time to degradate the polymer. A longer period test would have been necessary to know if bacteria were able to consume glucose as fast as the enzyme released it. Maybe by testing a twice concentrated medium, we would have been able to answer it.
Figure 30: Bacteria growth as a function of time on Biosilta medium concentrated twice. Culture with BW25113 on 48 wells plate and optical reader
Decline of curve for 0.72U/L was not expected because in “normal” Biosilta medium, figure 5, bacteria grew during 12 days. We cannot explain this result, but it shows that it is complicated to work with a medium with an unknown composition.
Curves for 3 and 4 U/L enzyme or very similar so it seems that bacteria are not able to consume all glucose released by enzyme. As we only measured OD we do not know if bacteria would assimilate glucose for another way that growth metabolism.
Thanks to figure 11, 12 and 13 we know that it would not be possible to have enough polymer in our medium. As a solution we think to use a dialysis system: in one side there will be bacteria and in the other side there will be the polymer with enzyme. Membrane which separates them will allow only small molecules to pass like glucose. Thanks to this system our device will have enough substrate for two weeks.
Regarding the rate of glucose assimilation we could do additional tests where we would measure glucose in medium to determine maximum rate of assimilation. An optimization of this assimilation could be essential.
Question: could we proove again varroa attraction for butyrate
Testing acids toxicity
Effects of medium
Question: could we proove again varroa attraction for butyrate
In order to optimize resistance of BW25113 to different acids concentrations we tested two medium: LB and M9 with 15mM of glucose.
Figure 31: Optic density in function of time for different formic acid concentrations and two medium. LB medium is represented with green curves and M9 medium with blue curves. Each condition is tested in three replicates so standard deviation is represented in orange.
Figure 32: Optic density in function of time for different butyric acid concentrations and two medium. LB medium is represented with green curves and M9 medium with blue curves. Each condition is tested in three replicates so standard deviation is represented in orange.
In M9 medium, growth was slower at the beginning in both figures but OD max was almost the same for both medium.
For formic acid, the only significant difference was for 10mM with a slower growth in LB than in M9. For butyric acid the difference was stronger because in LB bacteria did not grow anymore with 109mM, whereas in M9 there was growth.
In fact, M9 was buffered and not LB so we measured pH in both medium with different acids concentrations in order to see if there were a correlation.
Figure 33: pH in function of concentration in mM for formic acid and butyric acid. LB medium is represented with green curves and M9 medium with blue curves. pH was measured with pH paper because only order of magnitude interested us. Each condition was tested three times and give us the exactly the same results.
It is clear that in M9 medium pH stayed at pH 7 for higher acids concentrations than LB medium. Moreover, thanks to previous figures, it is possible to see that bacteria did not grow anymore when pH was around 5. This results show that bacteria are sensitive to acid pH, but they may have resisted to higher acids concentrations if the medium were better buffered. We will now see if it would be interesting or not to have buffered better our medium.
Question: could we proove again varroa attraction for butyrate
Formic acid toxicity
Question: could we proove again varroa attraction for butyrate
Figure 34: Toxicity test of formic acid, OD of BW on M9 15mM glucose.
Figure 34 shows a dose/response relationship between formic acid concentration and bacteria growth. We wanted to produce at least 50µmol/L of formic acid in order to kill varroas and bacteria growth normally up to 1mM. So, there should not have been toxicity problems during the treatment.
Question: could we proove again varroa attraction for butyrate
Butyric acid toxicity
Question: could we proove again varroa attraction for butyrate
Figure 35: Toxicity test of butyric acid, OD of BW on M9 15mM glucose.
The higher butyric concentration was, the less was bacteria growth, as our previous results with formic acid.
However we had an intermediate result with 109mM of butyric acid.
We did not have a specific butyric acid concentration to produce and modeling showed us that we could produce around 15mM with all optimizations,
so we would not have any butyric acid toxicity during our treatment.
Note: For our conclusions about acids toxicity, we consider that acids evaporate during day for formic acid and night for butyric acid,
so there would not be a lot of acid accumulation in the medium.
Question: could we proove again varroa attraction for butyrate
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