Difference between revisions of "Part:BBa K2014012"
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− | | colspan = 2 | [[Image:BBa K2014012-1.png|thumb|650px|center|<font size="2"><b>Fig. 1.</b> The scheme of the biobrick <b>BBa_K2014012</b>. W letters correspond to the rarest codons in <i>E. coli</i>K-12 orfeome.</font>]] | + | | colspan = 2 | [[Image:BBa K2014012-1.png|thumb|650px|center|<font size="2"><b>Fig. 1.</b> The scheme of the biobrick <b>BBa_K2014012</b>. W letters correspond to the rarest codons in <i>E. coli</i> <br>K-12 orfeome.</font>]] |
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− | | colspan = 2 | [[Image:BBa K2014011-3.png|thumb|500px|center|<font size="2"><b>Fig. 3.</b>Photograph presenting pellets with supernatants after lysis (right) (See: Methods) after 5<sup>th</sup> hour of culturing <i>E. coli</i> cells in SB/PKB medium with 0,4% of D-xylose.</font>]] | + | | colspan = 2 | [[Image:BBa K2014011-3.png|thumb|500px|center|<font size="2"><b>Fig. 3.</b>Photograph presenting pellets with supernatants after lysis (right) (See: [http://2016.igem.org/Team:UAM_Poznan/Experiments Methods]) after 5<sup>th</sup> hour of culturing <i>E. coli</i> cells in SB/PKB medium with 0,4% of D-xylose.</font>]] |
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Latest revision as of 00:19, 22 October 2016
pxylF-xylA->sfGFP_W
Usage and Biology
We designed pxylF-xylA->sfGFP_W as a fluorescent marker to measure to what extent codon optimization may change the rate of heterologous protein production in E. coli. It is believed that by codon optimization one can substantially increase the gene expression and that the optimized gene will more effectively compete for cell resources and will be more accurately translated [Kane JK, 1995]. We would like to check which approach to optimize a reading frame is the best and to what extent it can improve the expression of the optimized gene. We consider improvements of such traits like: codon usage, codon adaptation index, contexts of codons and secondary structures in coding sequences. We intentionally started our comparisons from implementing general optimization rules, which effects can be easily compared in simple induced expression experiments.
We have started from a simple optimization of sfGFP in which we changed every codon of sfGFP [Pedelacq JD, 2006] to the least frequent synonymous codon in all reading frames of E. coli K12 orfeome, according to the codon usage table generated for us by Prof. W. Karłowski. Thus, in sfGFP-W coding sequence appeared 7 dispersed AGG codons, 10 isoleucine ATA codons, 15 leucine CTA codons, and two pairs of consecutive CTA codons (these codons represent 40% of all codons in coding sequence). While designing the ORF the priority was to select the rarest codons. As a result, even though it does not meet the iGEM requirements, due to having a restriction site, we decided not to change the sequence. At the N-terminus of coding sequence there is a stable 6-histidine tag (Fig. 1). The reporter gene is cloned under a relatively weak xylose induced promoter- pxylF-xylA.
We have compared the translational efficiency of sfGFP_W ORF with its non-optimized ORF (BBa_K1741007 - provided to iGEM by our team last year) and its optimized form – sfGFP_B (BBa_K2014011) by measuring the fluorescence intensity of sfGFPs encoded by three different ORFs, which are under control of an identical promoter with an identical 5’UTR. Shortly, we compared the expression of sfGFP from three biobricks: BBa_K2014011, BBa_K1741007, and BBa_K2014012 in E. coli DH5α cells grown in two rich media, LB and SB-PKB and in M9 minimal medium upon induction with xylose (0,4% final concentration).
The results we obtained (Fig. 3, 4) suggest that in E. coli cells growing in both rich and minimal media, the introduction of rare codons into a sequence coding for a well soluble protein, expressed at a moderate level is not sufficient to observe any significant decrease in the rate of its translation. The translational rate of sfGFP from inverse optimized ORF is higher or equal to sfGFP biosynthesized from the most frequent codons. This indicates that E. coli translational apparatus can be easily adjusted or that such a gene takes advantage of this that it uses a different tRNA pool than highly expressed proteins do at the same time.
Sequence and Features
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