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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Bioeng. Biotechnol.</journal-id>
<journal-title>Frontiers in Bioengineering and Biotechnology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Bioeng. Biotechnol.</abbrev-journal-title>
<issn pub-type="epub">2296-4185</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fbioe.2020.00623</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Bioengineering and Biotechnology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A Synthetic Reporter for Probing Mistranslation in Living Cells</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Hao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/956372/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ercanbrack</surname> <given-names>Carson</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/923073/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Tony</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1004677/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gan</surname> <given-names>Qinglei</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1004672/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Fan</surname> <given-names>Chenguang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/627173/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Cell and Molecular Biology Program, University of Arkansas</institution>, <addr-line>Fayetteville, AR</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Chemistry and Biochemistry, University of Arkansas</institution>, <addr-line>Fayetteville, AR</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Depratment of Biology, University of Arkansas</institution>, <addr-line>Fayetteville, AR</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Dawei Zhang, Tianjin Institute of Industrial Biotechnology (CAS), China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Henna Tyynismaa, University of Helsinki, Finland; Meirong Chen, Nanjing Agricultural University, China; Herve Roy, University of Central Florida, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Chenguang Fan, <email>cf021@uark.edu</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Synthetic Biology, a section of the journal Frontiers in Bioengineering and Biotechnology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>06</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>8</volume>
<elocation-id>623</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>02</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>05</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2020 Chen, Ercanbrack, Wang, Gan and Fan.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Chen, Ercanbrack, Wang, Gan and Fan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Aminoacyl-tRNA synthetases (AARSs) play key roles in maintaining high fidelity of protein synthesis. They charge cognate tRNAs with corresponding amino acids and hydrolyze mischarged tRNAs by editing mechanisms. Impairment of AARS editing activities can reduce the accuracy of tRNA aminoacylation to produce mischarged tRNAs, which cause mistranslation and cell damages. To evaluate the mistranslation rate of threonine codons in living cells, in this study, we designed a quantitative reporter derived from the green fluorescent protein (GFP). The original GFP has multiple threonine codons which could affect the accuracy of measurement, so we generated a GFP variant containing only one threonine residue to specifically quantify mistranslation at the threonine codon. To validate, we applied this single-threonine GFP reporter to evaluate mistranslation at the threonine codon with mutations or modifications of threonine-tRNA synthetase and compared it with other methods of mistranslation evaluation, which showed that this reporter is reliable and facile to use.</p>
</abstract>
<kwd-group>
<kwd>mistranslation</kwd>
<kwd>aminoacyl-tRNA synthetase</kwd>
<kwd>acetylation</kwd>
<kwd>green fluorescent protein</kwd>
<kwd>threonine-tRNA synthetase</kwd>
<kwd>editing deficiency</kwd>
</kwd-group>
<contract-sponsor id="cn001">Arkansas Biosciences Institute<named-content content-type="fundref-id">10.13039/100008231</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="6"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>From genetic information stored in the DNA to functional proteins, there are many processes including DNA replication, transcription, and translation. All of these steps can produce mistakes. But the error rates for each step are quite different, ranging from 10<sup>&#x2013;8</sup> during DNA replication (<xref ref-type="bibr" rid="B13">Kunkel and Bebenek, 2000</xref>) to 10<sup>&#x2013;4</sup> during protein synthesis (<xref ref-type="bibr" rid="B7">Ellis and Gallant, 1982</xref>). Although there are many mechanisms during translation to maintain high fidelity of protein synthesis, the error rate of translation is still relatively high, which makes protein mistranslation a remarkable research topic in the field of biochemistry (<xref ref-type="bibr" rid="B11">Hoffman et al., 2017b</xref>; <xref ref-type="bibr" rid="B31">Schwartz and Pan, 2017</xref>; <xref ref-type="bibr" rid="B8">Evans et al., 2018</xref>).</p>
<p>Protein mistranslation brings non-cognate amino acids locally into one specific codon or globally replaces one amino acid with another regardless of codons to generate a series of protein variants which can have impaired protein functions or produce aggregation due to protein misfolding (<xref ref-type="bibr" rid="B23">Mohler and Ibba, 2017</xref>). Thus, traditionally, protein mistranslation is thought to be harmful or lethal to cells. Indeed, it causes a wide range of human diseases including neurological disorders, developmental disorders, viral infections, and cancers (<xref ref-type="bibr" rid="B30">Schimmel, 2008</xref>; <xref ref-type="bibr" rid="B12">Kapur and Ackerman, 2018</xref>; <xref ref-type="bibr" rid="B14">Lant et al., 2019</xref>; <xref ref-type="bibr" rid="B26">Ou et al., 2019</xref>). However, very recently, a number of studies have shown that protein mistranslation is not always detrimental (<xref ref-type="bibr" rid="B27">Pan, 2013</xref>; <xref ref-type="bibr" rid="B28">Ribas de Pouplana et al., 2014</xref>; <xref ref-type="bibr" rid="B32">Steiner and Ibba, 2019</xref>). Misincorporation of methionine can protect cells from reactive oxygen species (<xref ref-type="bibr" rid="B16">Lee et al., 2014</xref>). Mischarging of tRNA can mask amino acid starvation to alter stress response signaling (<xref ref-type="bibr" rid="B3">Bullwinkle and Ibba, 2016</xref>; <xref ref-type="bibr" rid="B22">Mohler et al., 2017b</xref>). Protein mistranslation is also found to be involved in pathogenicity by increasing the antigenic diversity of pathogens to bypass host immune defenses or by promoting phenotypic heterogeneity to increase opportunities to survive under different stress conditions (<xref ref-type="bibr" rid="B17">Li et al., 2011</xref>; <xref ref-type="bibr" rid="B20">Miranda et al., 2013</xref>; <xref ref-type="bibr" rid="B1">Ackermann, 2015</xref>).</p>
<p>To better study protein mistranslation, several methods have been developed to detect or quantify misincorporation of non-cognate amino acids (<xref ref-type="bibr" rid="B28">Ribas de Pouplana et al., 2014</xref>; <xref ref-type="bibr" rid="B23">Mohler and Ibba, 2017</xref>). The most sensitive and accurate approach is based on mass spectrometry (MS; <xref ref-type="bibr" rid="B21">Mohler et al., 2017a</xref>). However, MS cannot be used for <italic>in vivo</italic> studies and depends on high-resolution MS facilities, which could not be easily accessible for all the research groups in this field. To be conveniently used in living cells, several reporters have been derived from the green fluorescent protein (GFP) including eGFP T65V (<xref ref-type="bibr" rid="B24">Nangle et al., 2006</xref>), GFP Y66K (<xref ref-type="bibr" rid="B2">Biddle et al., 2015</xref>), GFP E222Q (<xref ref-type="bibr" rid="B33">Su et al., 2016</xref>), and eGFP D129P variants (<xref ref-type="bibr" rid="B10">Hoffman et al., 2017a</xref>). But all these variants have multiple target amino acids at other sites (for example, in eGFP T65V, there are 18 valine residues at other positions), which could confound quantification results. To overcome this issue, in this study, we designed a GFP variant with only one threonine residue to quantify mistranslation of the threonine codon in living cells more precisely. This strategy can be applied to develop different single-target amino acid GFP variant reporters for quantifying mistranslation of specific codons.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Construction of Super-Folder GFP (sfGFP) Variants</title>
<p>The gene of Thr-free super-folder GFP (sfGFP) was ordered from Integrated DNA Technologies (Coralville, IA, United States). The sequence is in the <xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>. The primers for generating sfGFP variants with a single-threonine residue are listed in <xref ref-type="supplementary-material" rid="DS1">Supplementary Table S1</xref>. The mutations were made by the Q5 Site-Directed Mutagenesis Kit from New England Biolabs (Ipswich, MA, United States) following the manufacturer&#x2019;s protocol. The DNA sequences of these variants were confirmed by DNA sequencing (Eurofins Genomics, Louisville, KY, United States). The gene of sfGFP or its variants was transformed into <italic>Escherichia coli</italic> BL21 DE3 cells (New England Biolabs, Ipswich, MA, United States) for expression. Detailed procedures for vector construction are in the <xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>.</p>
</sec>
<sec id="S2.SS2">
<title>Fluorescence Reading</title>
<p>The strain harboring the plasmid to express wild-type (WT) sfGFP or its variants was inoculated into 2 ml minimal medium (M9 medium and 0.4% glucose) with 100 &#x03BC;g/ml streptomycin and incubated at 37&#x00B0;C overnight, individually. Ten microliters of each overnight culture was added into 190 &#x03BC;l fresh minimal medium with 100 &#x03BC;g/ml streptomycin to OD<sub>600</sub><sub>nm</sub> &#x223C; 0.15. The 200 &#x03BC;l mixture was pipetted into a well in a 96-well plate with supplementary 0.1 mM IPTG to induce protein expression. The fluorescence intensity (excitation wavelength 485/20 nm; emission wavelength 528/20 nm) and cell growth (OD<sub>600</sub><sub>nm</sub>) were monitored by a microplate reader with continuous shaking at 37&#x00B0;C for 6 h. Means and standard deviations were calculated by three replicates for initial screening and five replicates for measuring mistranslation rates. Normalized fluorescence was the fluorescence reading divided by the cell culture density (OD<sub>600</sub><sub>nm</sub>) or by the protein yield quantified by ELISA. The mistranslation rate equals 1 minus the rate of non-mistranslation, which is the normalized fluorescence of cells expressing threonine-tRNA synthetase (ThrRS) variants divided by that of cells expressing WT-ThrRS.</p>
</sec>
<sec id="S2.SS3">
<title>Protein Expression, Purification, and Characterization</title>
<p>For easy purification, a His<sub>6</sub>-tag fused to the WT sfGFP or its variants by PCR used the NEBuilder HiFi DNA Assembly Master Mix Kit. The expression and purification procedures followed the previous protocol (<xref ref-type="bibr" rid="B38">Venkat et al., 2017b</xref>). Detailed procedures were in the <xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>. The site-specifically acetylated ThrRS variant was generated by our established genetic incorporation system (<xref ref-type="bibr" rid="B37">Venkat et al., 2017a</xref>). Protein concentrations were measured by the Bradford Protein Assay (Bio-Rad, Hercules, CA, United States). Purified proteins were fractionated on a 12% SDS-PAGE gel and visualized by the Bio-Safe Coomassie stain (Bio-Rad). To quantify GFP yields, ELISA was performed with anti-His<sub>6</sub> tag (Abcam, Cambridge, MA, United States).</p>
</sec>
<sec id="S2.SS4">
<title>Mass and CD Spectrometry</title>
<p>The LC-MS/MS analyses were performed by Yale University Keck Proteomics Facility following previous protocols (<xref ref-type="bibr" rid="B36">Venkat et al., 2019</xref>). The purified ThrRS was digested in gel by trypsin and analyzed by LC-MS/MS on an LTQ Orbitrap XL equipped with a nanoACQUITY UPLC system. The Mascot search algorithm was used to search for the acetyllysine modifications. CD spectrometry was performed by previous protocols (<xref ref-type="bibr" rid="B4">Chen et al., 2019</xref>). The CD spectra were recorded on a J-1500 CD spectrometer. Purified proteins were diluted to a concentration of 0.1 mg/ml in 5 mM Tris-HCl pH 7.8, 0.1 M KCl, and scanned from 190 to 250 nm with a 20 nm/min speed. Scanning was performed three times for each sample, and the average was plotted.</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<sec id="S3.SS1">
<title>Developing a Precise Reporter to Evaluate Mistranslation at the Threonine Codon <italic>in vivo</italic></title>
<p>ThrRS uses a zinc ion to discriminate against the valine (without hydroxyl group) at the activation step and utilizes the N-terminal editing domain to hydrolyze mischarged tRNA<sup>Thr</sup> with serine (with a smaller size) (<xref ref-type="bibr" rid="B29">Sankaranarayanan et al., 2000</xref>; <xref ref-type="bibr" rid="B6">Dock-Bregeon et al., 2004</xref>). Because ThrRS solves such a unique double-discrimination problem with isosteric amino acids, it has attracted much attention for studying its mistranslation (<xref ref-type="bibr" rid="B5">Dock-Bregeon et al., 2000</xref>). However, there is still no facile method to quantify mistranslation of threonine codons in living cells. In this study, we engineered the sfGFP for this purpose. As mentioned, ThrRS can mischarge tRNA<sup>Thr</sup> with serine. Besides serine, alanyl-tRNA synthetase (AlaRS) can also mischarge tRNA<sup>Thr</sup> with alanine (<xref ref-type="bibr" rid="B34">Sun et al., 2016</xref>). The sfGFP has 18 threonine residues in total. All these threonine codons could be mistranslated as serine or alanine. Thus, we actually observe the overall effect of mistranslation of all these threonine codons on GFP fluorescence. Mistranslation at some sites could increase fluorescence, while that at others could impair fluorescence. So we may underestimate or overestimate the actual mistranslation. To eliminate possible interference from mistranslation at other threonine codons and focus on one specific threonine codon, we aimed to generate an sfGFP variant containing only one threonine residue which is essential for its fluorescence (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>A scheme for the Thr-dependent sfGFP variant. The misincorporation of serine at the threonine codon due to mischarged Ser-tRNA<sup>Thr</sup> eliminates the fluorescence of sfGFP.</p></caption>
<graphic xlink:href="fbioe-08-00623-g001.tif"/>
</fig>
<p>First, we mutated all the threonine codons in the gene of sfGFP to serine codons because serine is the most common mistranslated amino acid for threonine codons. As expected, this Thr-free sfGFP variant (TF-sfGFP) had no fluorescence (<xref ref-type="fig" rid="F2">Figure 2</xref>). The protein yield of TF-sfGFP was similar to that of WT-sfGFP with the same expression condition (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S1</xref>), indicating that substitution of threonine residues with serine at all 18 sites does not affect GFP expression significantly. We also performed CD spectrometry analyses with both TF-sfGFP and WT-sfGFP to see whether such substitution can affect GFP folding. The result showed that there was no significant difference between them (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S2</xref>). In the next step, we put the threonine codon back to its original position in the gene of TF-sfGFP individually to generate 18 single-threonine sfGFP variants in total. We measured fluorescence intensities for these sfGFP variants (<xref ref-type="fig" rid="F2">Figure 2</xref>). Among these variants, the TF-sfGFP T203 variant restored &#x223C;20% fluorescence with one threonine residue alone. We also noted that protein yields of all these variants were similar to those of WT-sfGFP with the same expression condition (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S1</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Normalized fluorescence intensities of cells expressing sfGFP variants. Both the fluorescence intensity and the cell culture density of each strain expressing different sfGFP variants were monitored. The fluorescence intensity at 6 h after induction for each strain was normalized by its cell culture density (OD<sub>600</sub><sub>nm</sub>). The fluorescence intensity of the strain harboring the empty vector (pCDF-1b) was used as the baseline which was subtracted from each reading. Mean and standard deviations were calculated based on three replicates.</p></caption>
<graphic xlink:href="fbioe-08-00623-g002.tif"/>
</fig>
<p>T203 plays a critical role in forming the structure similar to a proton pump for GFP and is well conserved among GFP-like proteins (<xref ref-type="bibr" rid="B25">Ong et al., 2011</xref>), which explained the recovery of sfGFP fluorescence. Besides T203, T65 is well known to increase the fluorescence of GFP (<xref ref-type="bibr" rid="B9">Heim et al., 1995</xref>). But the TF-sfGFP T65 variant in this study had no significant fluorescence, probably because it is a good enhancer, but not essential for producing fluorescence. Actually, the original amino acid at this site in WT-GFP is serine. Besides serine, AlaRS can also mischarge tRNA<sup>Thr</sup> with alanine (<xref ref-type="bibr" rid="B34">Sun et al., 2016</xref>). To eliminate the possibility that the substitution of threonine with alanine at position 203 can also generate fluorescence, we generated the TF-sfGFP A203 variant. This variant had no fluorescence (<xref ref-type="fig" rid="F2">Figure 2</xref>). Thus, the TF-sfGFP T203 variant can be used as the reporter for quantifying mistranslation of the threonine codon, because (i) mistranslation of the threonine codon to serine or alanine will eliminate the fluorescence of sfGFP; (ii) there is no interference of mistranslation of other threonine codons in the sfGFP; and (iii) the fluorescence intensity depends on the ratio of mistranslated sfGFP and total amounts of sfGFP.</p>
</sec>
<sec id="S3.SS2">
<title>Testing the Reporter for Mistranslation of Threonine Codons</title>
<p>In the previous quantitative MS study on ThrRS-mediated mistranslation, the ThrRS editing-deficient variant ThrRS C182A was used to evaluate the mistranslation rate at threonine codons (<xref ref-type="bibr" rid="B21">Mohler et al., 2017a</xref>). To compare our method with the MS approach, we expressed the TF-sfGFP T203 variant in the strain containing ThrRS C182A. The strain containing WT-ThrRS was used as the control (<xref ref-type="table" rid="T1">Table 1</xref>). Both the protein yield and cell culture density were decreased in the strain containing ThrRS C182A, which is consistent with the previous study (<xref ref-type="bibr" rid="B18">Ling and S&#x00F6;ll, 2010</xref>). To address potential effects of <italic>E. coli</italic> cell autofluorescence on GFP fluorescence readings, which could be caused by different cell densities and stress conditions (<xref ref-type="bibr" rid="B19">Mihalcescu et al., 2015</xref>; <xref ref-type="bibr" rid="B35">Surre et al., 2018</xref>), we used the corresponding stains harboring the same vector but without the reporter gene as controls. Fluorescence readings were subtracted with corresponding backgrounds. Moreover, we compared two approaches to normalize fluorescence intensities, either by cell culture densities from OD<sub>600</sub><sub>nm</sub> (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S3</xref>) or by protein yields from ELISA. Both normalization approaches had similar results and showed that the mistranslation rate caused by the ThrRS C182A variant is &#x223C;3%, which is consistent with previous quantitative MS studies (<xref ref-type="bibr" rid="B21">Mohler et al., 2017a</xref>). As cell culture densities were monitored simultaneously with fluorescence reading, we used this more facile approach for later experiments.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Comparison of two normalization methods for fluorescence intensities.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"><bold>WT-ThrRS</bold></td>
<td valign="top" align="center"><bold>ThrRS C182A</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fluorescence reading</td>
<td valign="top" align="center">1,25617</td>
<td valign="top" align="center">97912</td>
</tr>
<tr>
<td valign="top" align="left">sfGFP yield by ELISA (g/L)</td>
<td valign="top" align="center">0.4020.013</td>
<td valign="top" align="center">0.3230.016</td>
</tr>
<tr>
<td valign="top" align="left">Normalized fluorescence by ELISA&#x002A;</td>
<td valign="top" align="center">3,12414</td>
<td valign="top" align="center">3,03110</td>
</tr>
<tr>
<td valign="top" align="left">Mistranslation rate by ELISA&#x002A;&#x002A;</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3.10.6%</td>
</tr>
<tr>
<td valign="top" align="left">Cell culture density (OD<sub>600</sub><sub>nm</sub>)</td>
<td valign="top" align="center">0.6680.019</td>
<td valign="top" align="center">0.5380.013</td>
</tr>
<tr>
<td valign="top" align="left">Normalized fluorescence by OD<sub>600</sub><sub>nm</sub></td>
<td valign="top" align="center">1,88011</td>
<td valign="top" align="center">1,82012</td>
</tr>
<tr>
<td valign="top" align="left">Mistranslation rate by OD<sub>600</sub><sub>nm</sub></td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3.20.9%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>&#x002A;Normalized fluorescence was fluorescence readings subtracted with corresponding backgrounds of no insert vector control and divided by the sfGFP yield quantified by ELISA or the cell culture density by OD<sub>600</sub><sub><italic>nm</italic></sub> at 6 h after induction. Mean and standard deviations were calculated based on five replicates. Mean and standard deviations for normalized fluorescence were calculated based on values of normalized fluorescence for each sample rather than normalizing averaged raw fluorescence reading by averaged ELISA or OD values. &#x002A;&#x002A;The mistranslation rate equals 1 minus the rate of non-mistranslation, which is the normalized fluorescence of cells expressing the ThrRS C182A variant divided by that of cells expressing WT-ThrRS.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>To compare TF-sfGFP T203 and WT-sfGFP in evaluating mistranslation, we tested the effect of the ThrRS C182A variant on their fluorescence, individually. We also applied a strategy similar to that used in previous mistranslation studies (<xref ref-type="bibr" rid="B15">Lee et al., 2006</xref>) and added serine in growth media to force threonine-to-serine mistranslation (<xref ref-type="fig" rid="F3">Figure 3</xref>). With the increase of serine concentrations, both reporters had increased mistranslation rates as expected. WT-sfGFP gave higher mistranslation rates than the single-threonine sfGFP reporter at all conditions, probably because threonine-to-serine substitution at other threonine sites further decreased its fluorescence. In this case, we could overestimate mistranslation rates by using WT-sfGFP as the reporter. Furthermore, the single-threonine sfGFP reporter was less sensitive to serine concentrations than WT-sfGFP, which is another advantage of this reporter.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>The effect of serine concentrations on sfGFP reporters. Mistranslation rates were calculated with normalized fluorescence by cell culture densities. Mean and standard deviations were calculated based on five replicates.</p></caption>
<graphic xlink:href="fbioe-08-00623-g003.tif"/>
</fig>
<p>In our recent study on acetylation of ThrRS, we found that acetylation of K169 in <italic>E. coli</italic> ThrRS can generate Ser-mischarged tRNA<sup>Thr</sup> <italic>in vitro</italic> (<xref ref-type="bibr" rid="B4">Chen et al., 2019</xref>). However, the effect of acetylation of ThrRS on mistranslation of threonine codons in living cells is unknown. So we applied the single-threonine sfGFP reporter to evaluate the impact of acetylation of ThrRS on threonine mistranslation <italic>in vivo</italic>. The site-specifically acetylated <italic>E. coli</italic> ThrRS at K169 (ThrRS-169AcK) was generated by the genetic code expansion strategy in <italic>E. coli</italic> cells and confirmed by LC-MS/MS (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S4</xref>). The TF-sfGFP T203 variant was co-expressed in the strain containing ThrRS 169AcK. Results showed that the mistranslation rate caused by ThrRS acetylation was 4.13 &#x00B1; 0.06%. K169 is located at the opening of the editing site of ThrRS (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure S5</xref>). We proposed that the ThrRS-169AcK variant has an impaired activity to hydrolyze mischarged Ser-tRNA<sup>Thr</sup> due to steric hindrance from the additional acetyl group. The crystallography study on this acetylated ThrRS variant is ongoing.</p>
</sec>
</sec>
<sec id="S4">
<title>Discussion</title>
<p>Although several GFP variants have been developed to estimate protein mistranslation in living cells (<xref ref-type="bibr" rid="B24">Nangle et al., 2006</xref>; <xref ref-type="bibr" rid="B2">Biddle et al., 2015</xref>; <xref ref-type="bibr" rid="B33">Su et al., 2016</xref>; <xref ref-type="bibr" rid="B10">Hoffman et al., 2017a</xref>), they cannot precisely quantify mistranslation rates. Take the eGFP T65V as an example; it was made to evaluate valine-to-threonine mistranslation by an editing-defective ValRS in mammalian cells (<xref ref-type="bibr" rid="B15">Lee et al., 2006</xref>). There are 18 other valine residues in the eGFP. When those valine residues are substituted with threonine, the folding or fluorescence properties could also be altered. In this case, the mistranslation rate could be underestimated because valine-to-threonine substitution at other positions can decrease its fluorescence. Actually, authors in that study realized this problem and used a 10-fold free threonine concentration in the medium to force the valine-to-threonine mistranslation at all valine codons. They noticed a decreased mistranslation rate (from 16.7 to 14.4%) and concluded that this number &#x201C;loosely&#x201D; reflects the degree of mistranslation in cells (<xref ref-type="bibr" rid="B15">Lee et al., 2006</xref>).</p>
<p>In this study, we generated an sfGFP variant with only one threonine codon, so there is no interference from other positions, which makes this strategy unique. This strategy could also be applied in other aminoacyl-tRNA synthetases (AARSs)-mediated mistranslation studies. For the example of ValRS mischarging studies, a Val-free GFP variant could be generated by replacing valine residues with isosteric amino acids such as alanine. By searching for the GFP-like protein data bank (<xref ref-type="bibr" rid="B25">Ong et al., 2011</xref>), there is no conserved valine residue in GFP, so it is possible to generate a Val-free GFP variant without eliminating fluorescence. Then the Val-free GFP with T65V substitution could be used for precisely quantifying the mistranslation rate at valine codons.</p>
</sec>
<sec id="S5">
<title>Data Availability Statement</title>
<p>All datasets generated for this study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>HC, CE, TW, and QG performed the experiments. HC and CF analyzed the data and wrote the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This project was supported by the Arkansas Biosciences Institute and University of Arkansas.</p>
</fn>
</fn-group>
<sec id="S8" sec-type="supplementary material"><title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fbioe.2020.00623/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fbioe.2020.00623/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.PDF" id="DS1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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