Difference between revisions of "Part:BBa K2753003"

 
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<partinfo>BBa_K2753003 short</partinfo>
 
<partinfo>BBa_K2753003 short</partinfo>
  
This part is the coding sequence of geraniol synthase (GES) from the species <em>Ocimum basilica</em> (sweet basil) and it’s codon-optimised for the use in<em> E. coli. </em>GES catalyses the conversion of geranyl diphosphate (GPP) into geraniol, an acyclic monoterpene alcohol that has been widely used in many industries<sup>[1]</sup>, and it’s an intermediate to the biosynthesis of nepetalactol which is an active ingredient in catnip.
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[https://2020.igem.org/Team:Toulouse_INSA-UPS Toulouse_INSA-UPS 2020]contributed to the characterization of this part by adding a new method for geraniol analysis <br>
 +
(<small>--[[User:Cecilia34|Cecilia34]] 10:10, 23 October 2020 (UTC+2)</small>)<br>
 +
 
 +
This part is the coding sequence of geraniol synthase (GES) from the species <em>Ocimum basilica</em> (sweet basil) and it’s codon-optimized for the use in<em> E. coli. </em>GES catalyses the conversion of geranyl diphosphate (GPP) into geraniol, an acyclic monoterpene alcohol that has been widely used and is commercially important in favor and fragrance industries<sup>[1]</sup>, and it’s an intermediate to the biosynthesis of nepetalactol which is an active ingredient in catnip.
  
 
===Characterization===
 
===Characterization===
<p>In our study, to investigate the optimal expression level of GPPS and GES for geraniol production, we assembled GPPS and obGES to make a geraniol-generating operon without a promoter(Part#), We employed three different promoters: </p><br>
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<html>
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<center>
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<Figure>
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<img width="70%" src="https://static.igem.org/mediawiki/2018/1/11/T--GreatBay_China--partgeraniol01.png">
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</figure>
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<h5>Figure. 1 The biosynthetic route for  obtaining geraniol from acetyl-coA, which requires either a MVA or MEP pathway, a GPPS, and a GES.</h5>
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</center>
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</html>
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<br/>
 +
 
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<p> In our study, we aim to achieve geraniol synthesis in E. coli, so at the beginning, we expressed a geraniol synthesis operon (https://parts.igem.org/Parts:BBa_K2753016) containing an <em>Abies Grandis</em> geranyl pyrophosphate synthase (https://parts.igem.org/Parts:BBa_K2753002) and an <em>Ocimum basilicum</em> geraniol synthase (https://parts.igem.org/Parts:BBa_K2753003) regulated by a pTac promoter in <em>E. coli</em>. Assuming that higher expression leads to higher yield, the operon was assembled on a high copy vector pUC20 whose copy number is approximately 500 per cell. However, when carrying out shake-flask fermentation with this strain, after induced by 25uM IPTG for 24 hours<sub>2</sub>, no geraniol production was detected using gas chromatography. (see detailed methods in our notebook: http://2018.igem.org/Team:GreatBay_China/Notebook) </p><br>
 +
 
 +
<p> We infer that the failure to produce geraniol was due to the lack of substrates IPP and DMAPP. Thus we decided to co-express an MVA pathway in addition to the geraniol synthesis operon. The pathway can either be added by cotransformation of a plasmid containing only the MVA pathway and the other plasmid with only GPPS and GES, or by constructing an all-in-one plasmid containing the MVA pathway, GPPS, and GES. We obtained a plasmid pMVA-only which was a gift from Taek Soon Lee, and have added GPPS and GES onto pMVA-only to acquire a pMVA-GPPS-GES.</p><br>
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 +
<html>
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<center>
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<Figure>
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<img width="70%" src="https://static.igem.org/mediawiki/2018/e/ef/T--GreatBay_China--resultfig_1.png">
 +
</figure>
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<h5>Figure. 2 Geraniol production analysis by gas chromatography. (A) GPPS and GES are arranged in operon regulated by pTac, placed on a high copy vector pUC20. (B) The MVA pathway is split into two clusters and placed on a low copy vector with the upper cluster containing three genes and the downstream containing four. (C) A combined plasmid with GPPS&GES operon and MVA pathway with a low copy p15A origin. (D) Gas chromatography for geraniol produced by E. coli expressing pMVA only (middle trace) or pMVA-GPPS-GES (bottom trace) whose peaks coincide with a geraniol standard (top trace). (E) Geraniol yield is noticeable with only the heterologous MVA pathway. Upon introduction of GPPS and GES, the yield doubled relative to the negative control pMVA only.</h5>
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</center>
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</html>
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<br/>
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 +
 
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<p>Under the same fermentation condition, pMVA-GPPS-GES gave a geraniol titer of 11.4mg/L while the negative control pMVA-only as well produced geraniol titer of about 5.65mg/L. Then we are assured that a stable supply of precursors IPP and DMAPP are crucial for geraniol production. But still, there is room for higher geraniol yield. Therefore, to gain maximum flux to geraniol, we tuned the expression level of GPPS and GES using three promoters:</p>
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<ul>
 
<ul>
<li>pTALE sp1 (https://parts.igem.org/Part:BBa_K2753000), copy number-independent promoter of medium strength</li>
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<li>TALE sp1 (https://parts.igem.org/Part:BBa_K2753030), copy number-independent promoter of medium strength</li>
<li>pTALE sp2 (https://parts.igem.org/Part:BBa_K2753001), copy number-independent promoter of low strength</li>
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<li>TALE sp2 (https://parts.igem.org/Part:BBa_K2753018), copy number-independent promoter of low strength</li>
 
<li>pTac (https://parts.igem.org/Part:BBa_K180000), IPTG inducible promoter</li>
 
<li>pTac (https://parts.igem.org/Part:BBa_K180000), IPTG inducible promoter</li>
 
</ul>
 
</ul>
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<li>pUC20: ~500</li>
 
<li>pUC20: ~500</li>
 
<li>pR6K: ~15</li>
 
<li>pR6K: ~15</li>
<li>pSC101: ~1<li>
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<li>pSC101: ~1</li>
 
</ul>
 
</ul>
  
<p>In total, we obtained nine combinations of promoters and vectors which regulate the expression of GPPS with GES. </p>
 
 
<html>
 
<html>
 
<center>
 
<center>
 
<Figure>
 
<Figure>
<img width="70%" src="https://static.igem.org/mediawiki/2018/a/a0/T--GreatBay_China--_3_promoters%2B3backbone.png">
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<img width="70%" src="https://static.igem.org/mediawiki/2018/b/bf/T--GreatBay_China--resultfig_3-1.png">
 
</figure>
 
</figure>
 +
<h5>Figure. 3 Geraniol production assay of TALEsp relative to pTac IPTG-inducible promoter. (A) Twelve combinations of promoters and plasmid backbones used to express a geraniol synthesis operon for characterization. pSC101 is the low copy vector, pR6K is the medium copy vector and pUC20 is the high copy vector. The combinations are transformed and tested in E. coli already harboring pMVA plasmids. (B) Geraniol yield achieved under the regulation of pTac, TALE1 sp1, TALE2 sp1, and TALE2 sp6 across different copy numbers is shown. The vertical error bars represents standard deviations of geraniol yield measured, and the horizontal error bars signify the reported range of copy number of plasmid backbones used. The portion of graph belong to TALE2sp6 is not shown as there is no detectable geraniol production.</h5>
 
</center>
 
</center>
 
</html>
 
</html>
 
<br/>
 
<br/>
  
<p>We co-expressed a heterologous yeast MVA pathway with the nine synthetic constructs in <em>E. coli</em>, obtaining nine <em>E. coli</em> strain potentially able to produce geraniol. Shake-flask fermentation is carried out with all strains along with the negative control strain containing only the MVA pathway. <em>E. coli </em>was incubated into 50ml LB supplemented with corresponding antibiotics, and the initial OD was adjusted to 0.01. When OD reached 1, 25uM of IPTG was added into the culture, and the culture was shaken at 37℃, 250rpm for 24h. Then 2ml of dodecane phase was added into 5ml of culture. The mixture was vortexed for 2min, and the organic phase was analyzed by gas chromatography to identify geraniol production. </p>
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<p>Having transferred the constructs above along with pMVA-only into strain E. coli DH5α, the same shake-flask fermentation experiment was conducted. The result shows detectable geraniol production by each strain.</p>
 +
 
 +
 
 +
<p> With pTac promoters, geraniol yield increased with the copy number of the vector, showing positively correlated relation. However, when TALE stabilized promoter (TALEsp) was used, higher the copy number of the vector, lower the production of geraniol, being the opposite of pTac. And the stronger TALEsp promoter, TALE1sp1 gave generally reduced yield compared to its weaker counterpart TALE2sp1. Interestingly, the graphs of the two TALEsp promoters appeared to be seemingly parallel to each other. </p>
  
 
<html>
 
<html>
 
<center>
 
<center>
 
<Figure>
 
<Figure>
<img width="70%" src="https://static.igem.org/mediawiki/2018/3/38/T--GreatBay_China--_Geraniol_production.jpg">
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<img width="70%" src="https://static.igem.org/mediawiki/2018/0/03/T--GreatBay_China--resultfig_4.png">
 
</figure>
 
</figure>
 +
<h5>Figure. 4 Gas chromatography analysis for geraniol produced regulated by pTac and TALE2sp1 compared with the peak of geraniol standard. (A) Geraniol production accomplished by pTac regulation across low (pSC101), medium (pR6K) and high (pUC20) copy number. The area of the peak which appears at around 4.41s concurring with that of the geraniol standard increases along the copy number. (B) Geraniol yield assay using TALE2sp1 with the same set of copy number. The largest peak of geraniol emerges on the low copy vector pSC101. The peak shrinks in size on higher copy.</h5>
 
</center>
 
</center>
 
</html>
 
</html>
 
<br/>
 
<br/>
  
<p>The results indicate all combinations except for pTALEsp1 with high copy number generate significantly higher titer of geraniol compared to the negative control. Moreover, the combinations of pTac with high copy number and pTALE with lower copy number are more advantageous.</p>
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<p> We surmised that the yield of geraniol was affected by two factors: the expression level of enzymes and the cellular burden. As for enzyme expression, there exists an optimal gene expression level that produces just enough enzyme to metabolize all the substrate. The yield would be the greatest at this level. But if lower than this level, production would increase with enzyme expression since there is a surplus of substrates. And if the enzyme expression is higher, the more enzymes now becomes a cellular burden as it no longer contributes to more product.</p>
 +
 
 +
<p> In the case of pTac, it fits into the scenario when the gene expression is lower than the optimum: higher copy produced more enzymes to catalyze geraniol synthesis reaction. As for TALE stabilized promoters, the expression level of enzymes would remain unchanged regardless of copy number due to the stabilization nature of TALE (More about TALE: [http://2018.igem.org/Team:GreatBay_China/Part_Collection]). So in low copy vector where the cellular burden isn’t significant, the product yield is only related to the strength of the promoter, explaining why TALE sp2 has better performance than TALE sp1 as it’s closer to the optimum. But when the copy number increases, the expression level is unaffected while the cellular burden rises sharply because much more TALE would be made to stabilize expression, leaving less energy available for geraniol synthesis. And it in turns answers why a negative trend of production is shown when regulated by TALE.</p><br>
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 +
<h1>Contribution from other teams</h1>
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 +
==Toulouse_INSA-UPS 2020's contribution==
 +
===''Characterization''===
 +
<p> Geraniol was quantified by High-Pressure Liquid Chromatography (HPLC). Separation was carried out with a C18 RP Fusion column at 30°C, with a flow rate of 1 ml/min, using a linear gradient starting from 30 % acetonitrile / 70 % H2O up to 100 % acetonitrile at 30 minutes. Geraniol was detected by UV at 200 nm. Two peaks corresponding to cis- and trans-geraniol were detected at 16.5 and 17 minutes. The injection volume was 20 µL. Standard mixtures (at concentration from 0.05 to 0.5 mM) were used to construct calibration curves (Fig. 1). </p>
 +
 
 +
[[File:T--Toulouse INSA-UPS--2020 geraniol standard curve.png|500px|thumb|center|Fig. 1: Geraniol calibration curve using HPLC analysis. Two peaks corresponding to cis- and trans-geraniol were detected at 16.5 and 17 minutes.]]
 +
 
 +
===''References for Toulouse_INSA-UPS 2020's contribution''===
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<span class='h3bb'>Sequence and Features</span>
 
<span class='h3bb'>Sequence and Features</span>
<partinfo>BBa_K2753003 SequenceAndFeatures</partinfo>
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<partinfo>BBa_K2753002 SequenceAndFeatures</partinfo>
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 +
===Referece===
 +
[1]: Rai, A., Smita, S. S., Singh, A. K., Shanker, K., & Nagegowda, D. A. (2013). Heteromeric and Homomeric Geranyl Diphosphate Synthases from Catharanthus roseus and Their Role in Monoterpene Indole Alkaloid Biosynthesis. Molecular Plant, 6(5), 1531–1549. doi:10.1093/mp/sst058
 +
 
 +
[2]:  Alonso-gutierrez, J., Chan, R., Batth, T. S., Adams, P. D., Keasling, J. D., Petzold, C. J., & Soon, T. (2013). Metabolic engineering of Escherichia coli for limonene and perillyl alcohol production. Metabolic Engineering, 19, 33–41. https://doi.org/10.1016/j.ymben.2013.05.004
 +
 
  
===Reference===
 
[1]:  Chen, F., Li, W., Jiang, L., Pu, X., Yang, Y., & Zhang, G. (2016). Functional characterization of a geraniol synthase ‑ encoding gene from Camptotheca acuminata and its application in production of geraniol in Escherichia coli. Journal of Industrial Microbiology & Biotechnology. https://doi.org/10.1007/s10295-016-1802-2
 
  
 
<!-- Uncomment this to enable Functional Parameter display  
 
<!-- Uncomment this to enable Functional Parameter display  
 
===Functional Parameters===
 
===Functional Parameters===
<partinfo>BBa_K2753003 parameters</partinfo>
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<partinfo>BBa_K2753002 parameters</partinfo>
 
<!-- -->
 
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Latest revision as of 17:46, 25 October 2020


pSB1C3-obGES cds

Toulouse_INSA-UPS 2020contributed to the characterization of this part by adding a new method for geraniol analysis
(--Cecilia34 10:10, 23 October 2020 (UTC+2))

This part is the coding sequence of geraniol synthase (GES) from the species Ocimum basilica (sweet basil) and it’s codon-optimized for the use in E. coli. GES catalyses the conversion of geranyl diphosphate (GPP) into geraniol, an acyclic monoterpene alcohol that has been widely used and is commercially important in favor and fragrance industries[1], and it’s an intermediate to the biosynthesis of nepetalactol which is an active ingredient in catnip.

Characterization

Figure. 1 The biosynthetic route for obtaining geraniol from acetyl-coA, which requires either a MVA or MEP pathway, a GPPS, and a GES.

In our study, we aim to achieve geraniol synthesis in E. coli, so at the beginning, we expressed a geraniol synthesis operon (https://parts.igem.org/Parts:BBa_K2753016) containing an Abies Grandis geranyl pyrophosphate synthase (https://parts.igem.org/Parts:BBa_K2753002) and an Ocimum basilicum geraniol synthase (https://parts.igem.org/Parts:BBa_K2753003) regulated by a pTac promoter in E. coli. Assuming that higher expression leads to higher yield, the operon was assembled on a high copy vector pUC20 whose copy number is approximately 500 per cell. However, when carrying out shake-flask fermentation with this strain, after induced by 25uM IPTG for 24 hours2, no geraniol production was detected using gas chromatography. (see detailed methods in our notebook: http://2018.igem.org/Team:GreatBay_China/Notebook)


We infer that the failure to produce geraniol was due to the lack of substrates IPP and DMAPP. Thus we decided to co-express an MVA pathway in addition to the geraniol synthesis operon. The pathway can either be added by cotransformation of a plasmid containing only the MVA pathway and the other plasmid with only GPPS and GES, or by constructing an all-in-one plasmid containing the MVA pathway, GPPS, and GES. We obtained a plasmid pMVA-only which was a gift from Taek Soon Lee, and have added GPPS and GES onto pMVA-only to acquire a pMVA-GPPS-GES.



Figure. 2 Geraniol production analysis by gas chromatography. (A) GPPS and GES are arranged in operon regulated by pTac, placed on a high copy vector pUC20. (B) The MVA pathway is split into two clusters and placed on a low copy vector with the upper cluster containing three genes and the downstream containing four. (C) A combined plasmid with GPPS&GES operon and MVA pathway with a low copy p15A origin. (D) Gas chromatography for geraniol produced by E. coli expressing pMVA only (middle trace) or pMVA-GPPS-GES (bottom trace) whose peaks coincide with a geraniol standard (top trace). (E) Geraniol yield is noticeable with only the heterologous MVA pathway. Upon introduction of GPPS and GES, the yield doubled relative to the negative control pMVA only.


Under the same fermentation condition, pMVA-GPPS-GES gave a geraniol titer of 11.4mg/L while the negative control pMVA-only as well produced geraniol titer of about 5.65mg/L. Then we are assured that a stable supply of precursors IPP and DMAPP are crucial for geraniol production. But still, there is room for higher geraniol yield. Therefore, to gain maximum flux to geraniol, we tuned the expression level of GPPS and GES using three promoters:


And three vectors of unique copy number:


  • pUC20: ~500
  • pR6K: ~15
  • pSC101: ~1

Figure. 3 Geraniol production assay of TALEsp relative to pTac IPTG-inducible promoter. (A) Twelve combinations of promoters and plasmid backbones used to express a geraniol synthesis operon for characterization. pSC101 is the low copy vector, pR6K is the medium copy vector and pUC20 is the high copy vector. The combinations are transformed and tested in E. coli already harboring pMVA plasmids. (B) Geraniol yield achieved under the regulation of pTac, TALE1 sp1, TALE2 sp1, and TALE2 sp6 across different copy numbers is shown. The vertical error bars represents standard deviations of geraniol yield measured, and the horizontal error bars signify the reported range of copy number of plasmid backbones used. The portion of graph belong to TALE2sp6 is not shown as there is no detectable geraniol production.


Having transferred the constructs above along with pMVA-only into strain E. coli DH5α, the same shake-flask fermentation experiment was conducted. The result shows detectable geraniol production by each strain.


With pTac promoters, geraniol yield increased with the copy number of the vector, showing positively correlated relation. However, when TALE stabilized promoter (TALEsp) was used, higher the copy number of the vector, lower the production of geraniol, being the opposite of pTac. And the stronger TALEsp promoter, TALE1sp1 gave generally reduced yield compared to its weaker counterpart TALE2sp1. Interestingly, the graphs of the two TALEsp promoters appeared to be seemingly parallel to each other.

Figure. 4 Gas chromatography analysis for geraniol produced regulated by pTac and TALE2sp1 compared with the peak of geraniol standard. (A) Geraniol production accomplished by pTac regulation across low (pSC101), medium (pR6K) and high (pUC20) copy number. The area of the peak which appears at around 4.41s concurring with that of the geraniol standard increases along the copy number. (B) Geraniol yield assay using TALE2sp1 with the same set of copy number. The largest peak of geraniol emerges on the low copy vector pSC101. The peak shrinks in size on higher copy.

We surmised that the yield of geraniol was affected by two factors: the expression level of enzymes and the cellular burden. As for enzyme expression, there exists an optimal gene expression level that produces just enough enzyme to metabolize all the substrate. The yield would be the greatest at this level. But if lower than this level, production would increase with enzyme expression since there is a surplus of substrates. And if the enzyme expression is higher, the more enzymes now becomes a cellular burden as it no longer contributes to more product.

In the case of pTac, it fits into the scenario when the gene expression is lower than the optimum: higher copy produced more enzymes to catalyze geraniol synthesis reaction. As for TALE stabilized promoters, the expression level of enzymes would remain unchanged regardless of copy number due to the stabilization nature of TALE (More about TALE: [http://2018.igem.org/Team:GreatBay_China/Part_Collection]). So in low copy vector where the cellular burden isn’t significant, the product yield is only related to the strength of the promoter, explaining why TALE sp2 has better performance than TALE sp1 as it’s closer to the optimum. But when the copy number increases, the expression level is unaffected while the cellular burden rises sharply because much more TALE would be made to stabilize expression, leaving less energy available for geraniol synthesis. And it in turns answers why a negative trend of production is shown when regulated by TALE.


Contribution from other teams

Toulouse_INSA-UPS 2020's contribution

Characterization

Geraniol was quantified by High-Pressure Liquid Chromatography (HPLC). Separation was carried out with a C18 RP Fusion column at 30°C, with a flow rate of 1 ml/min, using a linear gradient starting from 30 % acetonitrile / 70 % H2O up to 100 % acetonitrile at 30 minutes. Geraniol was detected by UV at 200 nm. Two peaks corresponding to cis- and trans-geraniol were detected at 16.5 and 17 minutes. The injection volume was 20 µL. Standard mixtures (at concentration from 0.05 to 0.5 mM) were used to construct calibration curves (Fig. 1).

Fig. 1: Geraniol calibration curve using HPLC analysis. Two peaks corresponding to cis- and trans-geraniol were detected at 16.5 and 17 minutes.

References for Toulouse_INSA-UPS 2020's contribution

Sequence and Features


Assembly Compatibility:
  • 10
    COMPATIBLE WITH RFC[10]
  • 12
    COMPATIBLE WITH RFC[12]
  • 21
    COMPATIBLE WITH RFC[21]
  • 23
    COMPATIBLE WITH RFC[23]
  • 25
    COMPATIBLE WITH RFC[25]
  • 1000
    COMPATIBLE WITH RFC[1000]

Referece

[1]: Rai, A., Smita, S. S., Singh, A. K., Shanker, K., & Nagegowda, D. A. (2013). Heteromeric and Homomeric Geranyl Diphosphate Synthases from Catharanthus roseus and Their Role in Monoterpene Indole Alkaloid Biosynthesis. Molecular Plant, 6(5), 1531–1549. doi:10.1093/mp/sst058

[2]: Alonso-gutierrez, J., Chan, R., Batth, T. S., Adams, P. D., Keasling, J. D., Petzold, C. J., & Soon, T. (2013). Metabolic engineering of Escherichia coli for limonene and perillyl alcohol production. Metabolic Engineering, 19, 33–41. https://doi.org/10.1016/j.ymben.2013.05.004