<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.152224.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Generation and Characterization of a variant of Thermostable Moloney Murine Leukemia Virus Reverse Transcriptase (MMLV-RT) Enzyme</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Gosar</surname>
                        <given-names>Abdiaziz Ali</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5870-4516</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kimani</surname>
                        <given-names>Josephine W.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Nzou</surname>
                        <given-names>Samson Muuo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5789-4434</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mwangi</surname>
                        <given-names>Anne Wanjiru</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ndung'u</surname>
                        <given-names>Faith</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0357-4117</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sora</surname>
                        <given-names>Guyo H.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kimotho</surname>
                        <given-names>James H.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Biochemistry, School of Biomedical Science, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Nairobi County, 00100, Kenya</aff>
                <aff id="a2">
                    <label>2</label>Innovation and Technology Transfer Division, Kenya Medical Research Institute, Nairobi, 00100, Kenya</aff>
                <aff id="a3">
                    <label>3</label>Centre for Disease Control &amp; Surveillance, Kenya Medical Research Institute, Mandera, Kenya</aff>
                <aff id="a4">
                    <label>4</label>Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:gabdiazizali@gmail.com">gabdiazizali@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>10</day>
                <month>9</month>
                <year>2024</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2024</year>
            </pub-date>
            <volume>13</volume>
            <elocation-id>1041</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>29</day>
                    <month>8</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Gosar AA et al.</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/13-1041/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Reverse Transcriptase (RT) enzymes have been extensively utilized, especially in Polymerase Chain Reaction (PCR). Many viruses that cause infections worldwide contain ribonucleic acid (RNA), and for their molecular detection, it is essential to convert RNA to DNA using RT. This study aimed to create and characterize a thermostable Moloney Murine Reverse Transcriptase (MMLV-RT) enzyme by using consensus sequences from the latest MMLV-RT sequence database.</p>
                </sec>
                <sec>
                    <title>Methodology</title>
                    <p>The six latest sequences encoding MMLV-RT were retrieved from the NCBI website, and the consensus sequence was determined and cloned into the pET28a (+) vector. The vector was overexpressed in an 
                        <italic toggle="yes">E. coli</italic> expression system. The enzyme obtained was purified using Talon accept resin. The purified enzyme was analyzed by SDS-PAGE and Western Blotting. The enzyme performance was evaluated by performing PCR on 89 SARS-CoV 2 positive samples and 40 negative samples both in a concentrated state and at a dilution factor of x10
                        <sup>&#x2212;1</sup>. The performance was compared with that of the commercial enzyme, a commercial RT enzyme kit, and Superscript (Invitrogen).</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>The enzyme was successfully expressed in 
                        <italic toggle="yes">E. coli.</italic> The concentration of MMLV-RT used was 0.313 mg/mL. The concentrated enzyme detected 98.9% of SARS-CoV-2 RNA, whereas the diluted RT enzyme detected 92.1% of SARS-CoV-2 RNA. In contrast, the diagnostic specificity was 98% for concentrated RT and 95% for diluted RT. This showed that the recombinant in-house MMLV-RT enzyme prototype could be used for the PCR amplification of viral RNA. (Figure 3)</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>We successfully produced a recombinant MMLV-RT enzyme whose performance was comparable to that of standard commercial reverse transcriptase (P &lt;0.0001).</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>PCR</kwd>
                <kwd>RNA</kwd>
                <kwd>Viruses</kwd>
                <kwd>RT transcriptase</kwd>
                <kwd>Moloney Murine Leukemia Virus enzyme</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>Reverse transcriptase (RT), also known as directed DNA polymerase, is an enzyme encoded by the genetic material of retroviruses, which catalyzes the conversion of RNA to DNA in a process called reverse transcription.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> It allows retroviruses, such as Human Immunodeficiency Virus (HIV), to form duplicates and integrate into the host genome. Three distinct biochemical characteristics facilitate the enzymatic activity of RT: Ribonuclease H, RNA-dependent DNA polymerase, and DNA-dependent DNA polymerase.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> The RT structure is a &#x2018;right hand&#x2019; characteristic of cellular DNA polymerases, having palm, thumb, and fingers subdomains, and also a spatially detached RNase H domain.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
            </p>
            <p>RT characterized by good catalytic activity, low RNase H activity, and high temperature stability has been reported to be more acceptable for biotechnological applications.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Two virus-derived genes have been used to produce recombinant RTs: avian myblastosis virus (AMV) and Moloney Murine Leukemia Virus (MMLV). Among all the known RTs, the most studied is the reverse transcriptase from the Moloney Murine Leukemia Virus (MMLV), which is a 75kiloDalton protein containing five domains, the palm, thumb, and fingers, making the polymerase, connection domain, and RNase H domain, and is more active in the monomeric state.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Using a thermostable variant of RT is advantageous for reducing non-specific nucleic acid amplification and minimizing the influence of intricate secondary structures.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>MMLV possesses two active sites for viral RNA reverse transcription, both of which require Mg
                <sup>2+</sup> or Mn
                <sup>2+</sup> for optimal catalysis. Recombinant MMLV reverse transcriptase is preferred due to its thermostability as compared to its wild-type, as a result of the reduced RNase H activity of the RT.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Additionally, its robust catalytic activity and high fidelity make RT the most widely used enzyme.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>Infectious illnesses, particularly those of viral origin, spread like wildfires, and are the leading cause of disruption in livelihood, trade, and the economy. Viruses such as Ebola, Lassa fever, Yellow Fever, Zika, Chikungunya, H1N1 influenza, Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS), and continuing COVID-19 are just a few of the epidemics that have hit the public in this era.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Viruses that contain RNA have been found to be the primary etiological agents of severe and emergent pathogens in animals and humans,
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> occupying for approximately 44% of all emerging infectious diseases in humans. The detection of these RNA viruses, such as SARS-CoV-2, requires the use of reverse transcriptase (RT) polymerase chain reaction (PCR), where the RNA is converted to DNA through a cDNA intermediate in PCR amplification.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
            </p>
            <p>Reduction in the activity of RTs is a common occurrence in resource-limited countries, where cold chain storage is a major challenge because of the lack of electricity, interruption of electricity, or high cost of running diesel generators, especially in third-world countries.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> The aim of the present study was to generate and characterize a variant of the MMLV-RT Enzyme.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Cells, Plasmid, and Samples used</title>
                <p>The bacterial strain used in this study was ECOS-BL21 (DE3)-competent E. coli cells obtained from Invitrogen. Genscript Biotech Corporation synthesized and integrated the MMLV-RT gene into the pET28a (-) plasmid, which also featured the isopropyl &#x03b2;-
                    <sc>d</sc>-1-thiogalactopyranoside IPTG-inducible T7 promoter, Ori-pUC, and kanamycin antibiotic marker. The SARS-CoV2 samples used in the evaluation phase of this study were archived samples from the Kenyatta National Hospital Infectious Disease Unit from patients with SARS-CoV2 at KEMRI&#x2019;s Innovation and Technology Transfer Division.</p>
            </sec>
            <sec id="sec8">
                <title>Study Design &amp; Sample size determination</title>
                <p>This study employed cross sectional study design.</p>
                <p>The sample size for the SARS-CoV 2 specimens used in this study was determined using Fisher&#x2019;s exact formula as described below:</p>
                <p>Fisher&#x2019;s formula for sample size calculation.
                    <disp-formula id="e1">
                        <mml:math display="block">
                            <mml:mrow>
                                <mml:mo stretchy="true">(</mml:mo>
                                <mml:msup>
                                    <mml:mi mathvariant="normal">Z</mml:mi>
                                    <mml:mn>2</mml:mn>
                                </mml:msup>
                                <mml:mspace width="0.25em"/>
                                <mml:mi mathvariant="normal">x</mml:mi>
                                <mml:mspace width="0.25em"/>
                                <mml:mi mathvariant="normal">p</mml:mi>
                                <mml:mrow>
                                    <mml:mo stretchy="true">(</mml:mo>
                                    <mml:mn>1</mml:mn>
                                    <mml:mo>&#x2212;</mml:mo>
                                    <mml:mi mathvariant="normal">p</mml:mi>
                                    <mml:mo stretchy="true">)</mml:mo>
                                </mml:mrow>
                                <mml:mo stretchy="true">)</mml:mo>
                            </mml:mrow>
                            <mml:mo>/</mml:mo>
                            <mml:mrow>
                                <mml:mo stretchy="true">(</mml:mo>
                                <mml:msup>
                                    <mml:mi mathvariant="normal">&#x03b5;</mml:mi>
                                    <mml:mn>2</mml:mn>
                                </mml:msup>
                                <mml:mo stretchy="true">)</mml:mo>
                            </mml:mrow>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>Z = normal standard deviation, normally set to 1.96, corresponding to 95% C.I.</p>
                <p>The prevalence of SARS CoV2 in Kenya is 5.6% (0.056).
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup>
                </p>
                <p>&#x03b5; = Margin of error, normally set at 5% (0.05)
                    <disp-formula id="e2">
                        <mml:math display="block">
                            <mml:mn>1</mml:mn>
                            <mml:mo>&#x2013;</mml:mo>
                            <mml:mi mathvariant="normal">p</mml:mi>
                            <mml:mo>=</mml:mo>
                            <mml:mrow>
                                <mml:mo stretchy="true">(</mml:mo>
                                <mml:mn>0.94.4</mml:mn>
                                <mml:mo stretchy="true">)</mml:mo>
                            </mml:mrow>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>Therefore;
                    <disp-formula id="e3">
                        <mml:math display="block">
                            <mml:mtable columnalign="center" displaystyle="true">
                                <mml:mtr>
                                    <mml:mtd>
                                        <mml:mi mathvariant="normal">n</mml:mi>
                                        <mml:mo>=</mml:mo>
                                        <mml:mrow>
                                            <mml:mo stretchy="true">(</mml:mo>
                                            <mml:msup>
                                                <mml:mn>1.96</mml:mn>
                                                <mml:mn>2</mml:mn>
                                            </mml:msup>
                                            <mml:mo>&#x00d7;</mml:mo>
                                            <mml:mn>0.056</mml:mn>
                                            <mml:mo>&#x00d7;</mml:mo>
                                            <mml:mn>0.944</mml:mn>
                                            <mml:mo stretchy="true">)</mml:mo>
                                        </mml:mrow>
                                        <mml:mo>/</mml:mo>
                                        <mml:msup>
                                            <mml:mn>0.05</mml:mn>
                                            <mml:mn>2</mml:mn>
                                        </mml:msup>
                                    </mml:mtd>
                                </mml:mtr>
                                <mml:mtr>
                                    <mml:mtd>
                                        <mml:mo>=</mml:mo>
                                        <mml:mn>81</mml:mn>
                                    </mml:mtd>
                                </mml:mtr>
                            </mml:mtable>
                        </mml:math>
                    </disp-formula>
                </p>
                <p>Therefore, a minimum of 81 samples were expected to be used for enzyme evaluation. However, this study utilized 129 SARS-CoV 2 samples for the performance evaluation of the expressed in-house recombinant MMLV-RT Enzyme.</p>
            </sec>
            <sec id="sec9">
                <title>Retrieval and analysis of Sequences encoding MMLV-RT</title>
                <p>The six latest sequences encoding thermostable Moloney Murine Leukemia Virus Reverse Transcriptase (MMLV-RT) were identified and retrieved from the NCBI website (
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/">https://www.ncbi.nlm.nih.gov/</ext-link>). The sequences were aligned using multiple sequence comparisons by log-expectation (MUSCLE) (
                    <ext-link ext-link-type="uri" xlink:href="https://www.ebi.ac.uk/Tools/msa/muscle/">https://www.ebi.ac.uk/Tools/msa/muscle/</ext-link>). Consensus sequence construction was performed using EMBOS Cons (
                    <ext-link ext-link-type="uri" xlink:href="https://www.ebi.ac.uk/Tools/msa/emboss_cons">https://www.ebi.ac.uk/Tools/msa/emboss_cons</ext-link>). The obtained consensus sequence was aligned against six sequences.</p>
            </sec>
            <sec id="sec10">
                <title>Codon Optimization and Analysis of Codon</title>
                <p>The consensus sequence obtained was codon-optimized using GenSmart&#x2122; Codon Optimization 
                    <ext-link ext-link-type="uri" xlink:href="https://www.genscript.com">https://www.genscript.com</ext-link> (, Genscript Biotech Corporation). To obtain a more optimal codon sequence, the codon-optimized gene sequence was analyzed using the GenScript Rare Codon Analysis tool (GenRCA). The GenRCA tool calculated the Codon Adaptation Index (CAI) and percentage GC content of the generated genetic sequence encoding MMLV-RT.</p>
            </sec>
            <sec id="sec11">
                <title>MMLV-RT Gene Cloning</title>
                <p>Both Histidine tag and enterokinase cleavage sites were added to the MMLV-RT-encoding gene before cloning. After verification of the codon-optimized MMLV-RT gene, it was synthesized and cloned into the pET28a (&#x2212;) vector (Genscript Biotech Corporation).</p>
            </sec>
            <sec id="sec12">
                <title>Transformation</title>
                <p>The MMLV protein in the pET28a expression vector was transformed in ECOS-BL21 (DE3) (Invitrogen) competent cells as previously described.
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup> Briefly, 10 &#x03bc;L of ECOS-BL21 (DE3) competent cells (on ice) was dispensed into ten 2 mL Eppendorf tubes labeled BL21-DE3. Then, 1 &#x03bc;L of pET28a expression vector carrying MMLV-RT recombinant DNA was added to each tube, mixed by tapping, and left to disperse evenly for 5 min on ice. The cells were heat-shocked at 12
                    <sup>o</sup>C &#x00b0;C for 15 s in a water bath at 37
                    <sup>o</sup>C &#x00b0;C. The cells were then placed on ice for 2 minutes. The culture was shaken for 1 h to allow for kanamycin-resistant growth. Kanamycin was then added at a final concentration of 100 &#x03bc;g/mL and cultured in 10 mL LB broth at 230 rpm overnight while shaking in an incubator shaker (INNOVA 42). The turbidity of the LB medium was assessed to confirm the growth of the cultured cells. All small cultures were then transferred to a 500mL LB-kanamycin media and incubated overnight at 37 &#x00b0;C with shaking at 230 rpm for approximately 1 h and 45 min. Cell growth density was then measured using a DEN-1B McFarland densitometer (Waken Teck. Co., Ltd.) with the aim of attaining a range of 2.5-3.0 density.</p>
            </sec>
            <sec id="sec13">
                <title>Protein Expression</title>
                <p>After transformation, the cells were grown in 10 ml LB kanamycin overnight at 37 &#x00b0;C with shaking at 230 rpm. Upon attaining a cell growth density of 3.98 cell/mL, protein expression was induced by the addition of 500 &#x03bc;L of 1 M IPTG (Isopropyl-&#x03b2;-d-1-thiogalactopyranoside) (Scientific, Inc.) and incubated at 37 &#x00b0;C with shaking at 230 rpm for 1 h. Thereafter, the density was measured to assess cell growth using a DEN-1B McFarland densitometer (Waken Teck. Co., Ltd.). The culture was then centrifuged at 3000 g for 20 min at 20 &#x00b0;C using an Eppendorf 5810R centrifuge. The MMLV-RT recombinant protein extract was obtained as an insoluble fraction that contained inclusion bodies. The pellet obtained was suspended in 10 mL Bugbuster (Novagen, United Sates) containing 1 &#x03bc;L benzonase and 1 &#x03bc;L lysozyme (Novagen, USA).</p>
            </sec>
            <sec id="sec14">
                <title>Inclusion Bodies (IB) Preparation</title>
                <p>The MMLV-RT recombinant protein extract pellet was mixed with 10 mL of 1x Bugbuster through hard pipetting, followed by the addition of 1 &#x03bc;L of lysozyme. The resulting mixture was then slowly rotated at room temperature for 15 min. Then, 10 mL of 1/10 Bugbuster solution was added and mixed by vortexing for 1 min. The mixture was then centrifuged at 5000 &#x00d7; g for 15 min at 4 &#x00b0;C, and the resulting pellet was washed by suspending it in 20 mL of 1/10 Bugbuster solution and vortexing for 1 min. This washing step was repeated twice, and after the final washing step, the obtained pellet was suspended in 10 mL of 1/10 Bugbuster solution by agitation for 1 min.</p>
            </sec>
            <sec id="sec15">
                <title>Inclusion Bodies (IB) Solubilization</title>
                <p>The recombinant protein suspension obtained from inclusion bodies was centrifuged at 12 rpm for 15 min at 4 &#x00b0;C. The resulting inclusion body pellet was mixed with 10 mL solubilization buffer (0.3% N-LS/CAPS, pH 11) through hard pipetting for 1 min. The mixture was then rotated at room temperature for 15 min and spun at 12 rpm for 15 min at 4 &#x00b0;C, resulting in a soluble MMLV-RT recombinant protein extract that was ready for use in subsequent steps. To increase the concentration of MMLV-RT, protein was dialyzed in 1 liter of 0.1% N-LS/PBS (-), pH 7.6 at 4 &#x00b0;C for 2 h. The dialysis medium was then replaced with fresh medium and dialysis was repeated for another 2 h. This process was repeated, after which the medium was replaced with fresh dialysis medium and left to dialyze overnight at 4 &#x00b0;C.</p>
            </sec>
            <sec id="sec16">
                <title>Protein Purification</title>
                <p>To purify the MMLV-RT expressed protein, Immobilized Metal Affinity Chromatography (IMAC) was carried out using TALON-Accept resin (Code #635503, Takara Bio Inc.) with slight modifications to the manufacturer&#x2019;s instructions. The His-accept resin was transferred into an empty column (Bio-Rad), washed with double-distilled water, and equilibrated using 4 mL of dialysis buffer. Next, 10 mL of soluble fraction supernatants containing MMLV-RT Enzyme was loaded onto the His-Accept resin, and the His flow-through (His-FT) solution was collected. The resin was washed with 4 mL of 1x Bugbuster and then washed twice with 10 mL of NPT-I10 solution. Finally, the MMLV-RT enzyme was eluted using NPT-I1300 elution buffer, and the His-elute solution was collected.</p>
            </sec>
            <sec id="sec17">
                <title>Protein Quantification</title>
                <p>The Pierce BCA protein assay kit (Thermoscientific, USA) was used to determine</p>
                <p>Quantity of pure MMLV-RT-expressed protein. Standard solutions and working reagents were prepared. Twenty-five microliters (25 &#x03bc;L) of each standard solution and His-Elute (MMLV-RT enzyme) was separately transferred into labeled tubes. Then, 500 &#x03bc;L of the working reagent was added to each tube, covered with aluminum foil, and incubated in a water bath at 37 &#x00b0;C for 30 min. The MMLV-RT recombinant protein was quantified using the BCA protein assay (562 nm) on a Thermo Scientific NanoDrop 2000c UV-Vis spectrophotometer (USA). Absorbance for the blank was used as background, and measurements were taken from low to high concentrations of the standard solutions, then for recombinantly produced MMLV-RT enzyme within 10 min.</p>
            </sec>
            <sec id="sec18">
                <title>Protein Quality and Purity testing</title>
                <p>Two gels were prepared to evaluate the quality and purity of MMLV-RT protein. One-dimensional SDS-PAGE was used to separate purified proteins on 10% gels. To determine the purity of specific proteins, one gel was stained with Coomassie Brilliant Blue, washed, de-stained using methanol, and imaged using an Azure 280 chemiluminescent imaging system. Another gel was used for western blotting to determine the quality of the purified proteins. The gel was transferred onto a polyvinylidene fluoride (PVDF) membrane using a Bio-Rad Trans-Blot system. The PVDF membrane was blocked, washed, and incubated with diluted MBL-anti-His-tag HRP direct-tagged antibodies. The membrane was washed and incubated with ECL solution before imaging using an Azure 280 chemiluminescent imaging system.</p>
            </sec>
            <sec id="sec19">
                <title>SARS-CoV 2 RNA Extraction</title>
                <p>RNA was extracted from SARS-CoV 2 samples using the QIAmp RNA mini-extraction kit (Qiagen Inc., USA) according to the manufacturer&#x2019;s instructions. Briefly, 560&#x03bc;L of lysis buffer (AVL) was mixed thoroughly with carrier RNA. 140&#x03bc;L of the sample was added and incubated for 10 min at room temperature. The mixture was transferred to a spin column after the addition of 560&#x03bc;L of absolute ethanol. The spin column was spun twice at 8000 rpm for 1 min each. The contents were then washed with 500 &#x03bc;l both AW1 and AW2. The RNA was then eluted from the column using 60 &#x03bc;l AVE buffer and stored at -30&#x00b0;C.</p>
            </sec>
            <sec id="sec20">
                <title>Verification of the SARS-CoV 2 Status Using real-time RT-PCR</title>
                <p>The status of the 129 SARS-CoV 2 samples to be used in the in-house enzyme testing was verified using real-time RT-PCR. The qPCR Master Mix was prepared as follows: 2X GoTaq&#x00ae; qPCR Master Mix (Cat. # M7122, Promega Corporation, Madison, USA); 10 &#x03bc;l of 2X GoTaq&#x00ae; Green Master Mix, 0.5 &#x03bc;l NIID_2019_nCoV_N_F
                    <sub>1</sub> (10 &#x03bc;M), 0.5 &#x03bc;l NIID_2019_nCoV_N_R
                    <sub>1</sub> (10 &#x03bc;M), 0.5 &#x03bc;l NIID_2019_nCoV_N_Prb (10 &#x03bc;M) and 3.5 &#x03bc;l of DEPC treated Water. The Template RNA (5 &#x03bc;L Template RNA was added to a total volume of 20 &#x03bc;L. The primers used in this verification step is as shown in 
                    <xref ref-type="table" rid="T1">Table 1</xref> below.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Primers Used in the Verification of status of SARS-CoV 2 Samples.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Primer name</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Primer sequence
                                    <sup>
                                        <xref ref-type="bibr" rid="ref25">25</xref>
                                    </sup>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">NIID_2019_nCoV_N_F
                                    <sub>1</sub>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5&#x2019;-AAATTTTGGGGACCAGGAAC-3&#x2019;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">NIID_2019_nCoV_N_R
                                    <sub>1</sub>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5&#x2019;-TGGCAGCTGTGTAGGTCAAC-3&#x2019;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">NIID_2019_nCoV_N_Prb</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5&#x2019;-FAM-ATGTCGCGCATTGGCATTGGCATGGA-BHQ-3&#x2019;</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>The cycling conditions were as follows: reverse transcription at 50 &#x00b0;C for 15 min, initial denaturation at 95 &#x00b0;C for 2 min, followed by 40 cycles of denaturation at 95 &#x00b0;C for 3 s and annealing and extension at 60 &#x00b0;C for 60 s. The results were viewed and interpreted as either RT-PCR positive or negative, depending on the CT values.</p>
            </sec>
            <sec id="sec21">
                <title>cDNA Synthesis</title>
                <p>The activity of the purified MMLV-RT was determined by reverse transcribing the extracted mRNAs from SARS-CoV 2 positive and negative samples. This was performed using SuperScript III Reverse Transcriptase and in-house RT. The following components were combined in a nuclease-free microcentrifuge tube: 70 ng random primers, 10 pg total RNA, and 1 &#x03bc;L 10 mM dNTP mix. The volume was adjusted to 13 &#x03bc;L by using sterile distilled water. The mixture was heated at 65&#x00b0;C for 5 min and then cooled on ice for 1 min. After brief centrifugation, 4 &#x03bc;l of 5X First-Strand Buffer, 1 &#x03bc;l of 0.1 M DTT, 1 &#x03bc;L of RNase OUT &#x2122; Recombinant RNase Inhibitor (Cat. no. 10777-019, 40 units/&#x03bc;L), to which either 1 &#x03bc;L of SuperScript&#x2122; III RT (200 units/&#x03bc;L) or 1.5 &#x03bc;l of the in-house purified reverse transcriptase was added. The contents were gently mixed by pipetting, followed by incubation at 25&#x00b0;C for 5 min and then at 50&#x00b0;C for 60 min. The reaction was terminated by heating the mixture at 70&#x00b0;C for 15 min.</p>
            </sec>
            <sec id="sec22">
                <title>Polymerase Chain Reaction</title>
                <p>PCR was performed using The Prime Script two-step RT-PCR Kit (Cat. No. RR014B Takara Bio Inc.). Each PCR tube contained a total volume of 25 &#x03bc;L reaction mixture, with 5&#x03bc;l of cDNA template, 10 &#x03bc;l of 2X PCR Master mix (Primescript, Takara Bio Inc.), 1 &#x03bc;L each of a 10 &#x03bc;M concentration of RdRp forward primer and RdRp reverse primer, and 8 &#x03bc;L of nuclease-free water. The mixture was then loaded into a thermocycler (ABI Systems). The amplification PCR profile was set at 95&#x00b0;C for 2 min, followed by 40 cycles of denaturation at 95&#x00b0;C for 30 s, annealing at 55&#x00b0;C for 60 s, and extension at 72&#x00b0;C for 60 s. The final extension step was performed at 72&#x00b0;C for 5 min.</p>
                <p>The primers shown in 
                    <xref ref-type="table" rid="T2">Table 2</xref> were used for the amplification of cDNA using conventional PCR.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Reaction Primers for the N-gene Targeted.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Primer name &amp; Size (bases)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Primer sequence</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">RdRp_F
                                    <sub>1</sub> (23)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5&#x2019;-CAAGTGGGGTAAGGTAAGGCTAGACTTT-3&#x2019;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">RdRp_R
                                    <sub>1</sub> (22)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5&#x2019;-ACTTAGGATAATCCCAACCCAT-3&#x2019;</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>For visualization, a 1.5% agarose gel was prepared using SafeRed (Applied Biological Materials Inc., British Columbia, Canada) in 1x TBE buffer, and 5 &#x03bc;L of the product was loaded onto the gel and run at 100 V for 45 min. Imaging was performed using an Azure 600 Gel Imaging System (Azure Biosystems Inc.).</p>
            </sec>
            <sec id="sec23">
                <title>Testing of In-house RT against Commercial RT</title>
                <p>Twenty Samples (20) were used to test the In-house RT against commercial RT. Out of the 20 samples, 15 were positive for SARS-CoV 2 and 5 were negative samples and one was a negative control. This was done in comparison with a commercial RT kit, namely superscript (Invitrogen).</p>
            </sec>
            <sec id="sec24">
                <title>Evaluation of MMLV-RT activity</title>
                <p>To evaluate the In-house Reverse Transcriptase, 129 SARS-CoV 2 samples were used, of which 89 RT-PCR confirmed positive and 40 negative samples, and a negative control. The samples were initially subjected to total RNA extraction followed by cDNA construction using the developed recombinant In-house MMLV-RT enzyme. The resulting cDNA was amplified by conventional PCR under previously specified conditions. The outcomes were recorded in Microsoft Excel for analysis and compared to the status of the SARS-CoV-2 samples, as verified by RT-PCR. The sensitivity (Se), specificity (Sp), positive predictive value (PPV), negative predictive value (NPV), agreement measured by Cohen&#x2019;s kappa value, and overall accuracy were computed. Receiver operating characteristics were utilized to generate the area under the curve, illustrating the diagnostic capability of the In-house MMLV-RT enzyme.</p>
            </sec>
            <sec id="sec25">
                <title>Ethical Consideration</title>
                <p>This study was approved by the Scientific Ethics Review Unit of the Kenya Medical Research Institute on June 13
                    <sup>th</sup> 2021 (approval number: 
                    <italic toggle="yes">KEMRI/SERU/CBRD/22/4208.</italic>
                </p>
            </sec>
            <sec id="sec26">
                <title>Data Analysis</title>
                <p>Data analysis was performed using Microsoft Excel 2017 and GraphPad Prism Version 10. To evaluate the developed Recombinant In-house MMLV-RT enzyme activity, we assessed the sensitivity (Se) specificity (Sp) value (PPV) and negative predictive value (NPV) agreement measured by Cohen&#x2019;s kappa value. Receiver operating characteristics were employed to generate the area under the curve, illustrating the diagnostic capability of In-house RT. In the computation of P-values, a two-sided Fisher&#x2019;s exact test was conducted using a significance value of &lt;0.05. The Wilson-Brown method was used to compare the confidence intervals of the developed enzyme to those of a standard commercial kit.</p>
            </sec>
        </sec>
        <sec id="sec27" sec-type="results">
            <title>Results</title>
            <sec id="sec28">
                <title>Retrieval and analysis of Sequences encoding MMLV-RT</title>
                <p>The consensus sequence derived from the six most recent sequences in the Genebank database, optimized for the expression of the recombinant His-MMLV-RT gene in E. coli (BL21) when codon optimized, exhibited a Codon Adaptation Index (CAI) of 0.72 (range 0-1), suggesting potential for expression. The sequence had an average GC content of 57%. (
                    <xref ref-type="table" rid="T3">Table 3</xref> and 
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup>
                </p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Shows the codon analysis results for the codon optimized Genetic Sequences for Thermostable MMLV-RT.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Gene Name</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Codon Adaptation Index (CAI)</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Average %GC Content</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Percentage GC Content at three Positions of Synonymous Codons</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Position 1</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Position 2</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Position 3</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">MMLV-RT Gene</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">57</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">63</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">64</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>A plot of Codon Adaptation Index where x-axis depicts the Relative Position of Codons and the y-axis showing the Relative frequency.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/166957/fb6d0346-ba39-4938-a5cc-bf3581fce516_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec29">
                <title>Successful Protein Expression as Indicated by the Density (DEN-1B) Increase</title>
                <p>After the transformation process, the density (DEN-1B) of 
                    <italic toggle="yes">E. coli</italic> (BL21) cells was measured before and after protein expression. The density increased after the IPTG addition from 3.98 cells/mL to 6.98 cells/mL indicating successful protein expression (
                    <xref ref-type="table" rid="T4">Table 4</xref>).
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup>
                </p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>Density (DEN-1B) of 
                            <italic toggle="yes">E. coli</italic> (BL21) cells before and after Isopropyl &#x03b2;-D-1-thiogalactopyranoside (IPTG) Induction.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Enzyme</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Before IPTG (cells/mL)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">After IPTG (cells/mL)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">In-house MMLV-RT</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.98</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec30">
                <title>Recombinant In-house MMLV-RT Enzyme Quantification</title>
                <p>The expressed protein was quantified using the Pierce BCA Protein Assay kit (Thermo Scientific) and found to be 0.367 mg/mL.</p>
            </sec>
            <sec id="sec31">
                <title>Protein quality and purity determination</title>
                <p>SDS-PAGE was used to verify the successful production of the in-house MMLV-RT. Coomassie Brilliant Blue analysis confirmed the purity of MMLV-RT, as shown in 
                    <xref ref-type="fig" rid="f2">Figure 2</xref>.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup>
                </p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Coomassie Brilliant Blue (CBB) analysis Results for In-house MMLV-RT.</title>
                        <p>1: The precision Marker, 2.MMLV-RT His-Flow through; 3: MMLV-RT Soluble Fraction; 4: MMLV-RT His Elute; 5. LDS buffer x1.</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/166957/fb6d0346-ba39-4938-a5cc-bf3581fce516_figure2.gif"/>
                </fig>
            </sec>
            <sec id="sec32">
                <title>Performance of the In-house MMLV-RT Enzyme against Commercial RT</title>
                <p>Before testing the performance of the in-house MMLV-RT enzyme, the status of the SARS-CoV 2 samples was verified using real-time RT-PCR, where 89 of 129 were positive and 40 tested negative. Performance testing was performed using commercial Superscript III RT as a control. This was performed using conventional PCR, which included 15 SARS CoV 2 confirmed samples, 4 negative samples, and a negative control. Both enzymes correctly identified 15 positive SARS-CoV 2 as positive. No amplification was observed in negative and negative control samples. The resulting gel is shown in 
                    <xref ref-type="fig" rid="f3">Figure 3</xref>.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup>
                </p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Performance of In-house MMLV-RT enzyme (B) as compared with a Commercial MMLV-RT enzyme RT enzyme (A) using Conventional PCR.</title>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/166957/fb6d0346-ba39-4938-a5cc-bf3581fce516_figure3.gif"/>
                </fig>
            </sec>
            <sec id="sec33">
                <title>Diagnostic Performance Assessment of the Recombinant In-house MMLV-RT Enzyme</title>
                <p>To evaluate the developed recombinant In-house MMLV-RT Enzyme, 89 confirmed samples of SARS CoV-2 along with 40 SARS-CoV 2 negative samples and a negative control, were used. RNA extraction was conducted and cDNA synthesis was performed using In-house MMLV RT and conventional PCR. The analysis revealed that the concentrated in-house MMLV-RT enzyme showed a sensitivity of 98.9% (95% CI 0.92-0.996), specificity of 98% (95% CI 0.8712-0.9987). The x10
                    <sup>&#x2212;1</sup> dilution of the enzyme showed a sensitivity of 92.1% and specificity of 95%. The results obtained were compared to those of rtRT-PCR to compute the sensitivity, specificity, PPV, NPV, agreement (Cohen&#x2019;s kappa), and overall accuracy, as shown in 
                    <xref ref-type="table" rid="T5">Table 5</xref>.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup> The receiver operating characteristics were employed to generate the area under the curve, illustrating the diagnostic capability of In-house RT indicated by the sensitivity against the 1-sensitivity curve, as shown in 
                    <xref ref-type="fig" rid="f4">Figure 4</xref>.
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup>
                </p>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>Table 5. </label>
                    <caption>
                        <title>Performance metrics (Sensitivity, Specificity, PPV, NPV) agreement measured by Cohens kappa and overall accuracy of the Recombinant In-house MMLV-RT enzyme against rtRT-PCR for SARS-CoV-2 samples.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Enzyme Concentration</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Sensitivity (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Specificity (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">PPV (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">NPV (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Kappa Value</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Agreement</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Overall Accuracy (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Concentrated In-house RT</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">98.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">98</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">97.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">97.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.389</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Fair</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.98</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Dilute In-house RT(x10
                                    <sup>&#x2212;1</sup>)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">92.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">95</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">92.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">95</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.373</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Fair</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.93</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>Figure 4. </label>
                    <caption>
                        <title>Receiver Operator Characteristic (ROC) Curve where A. shows the ROC for the concentrated and B. the ROC curve for x10
                            <sup>&#x2212;1</sup> dilution of the In-house MMLV-RT Enzyme plotted by taking sensitivity against 1-specificity.</title>
                        <p>The sensitivity levels of the enzymes are at 0.989(98.9%) and 0.92(92%), respectively.</p>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/166957/fb6d0346-ba39-4938-a5cc-bf3581fce516_figure4.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec34" sec-type="discussion">
            <title>Discussion</title>
            <p>Reverse transcription PCR (RT-PCR) is a highly sensitive technique that can detect and quantify RNA from a single cell. Unlike Northern blotting and nuclease protection assays, which are commonly used to quantify mRNA levels, RT-PCR requires less amount of RNA. The molecular characteristics of currently used RTs largely affect the efficiency of these reactions.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> To optimize their performance, it is essential that these enzymes possess desirable qualities, including high catalytic efficiency at elevated temperatures, ability to synthesize long cDNA products, and a high level of sensitivity.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>This study successfully retrieved and analyzed sequences encoding thermostable Moloney Murine Leukemia Virus Reverse Transcriptase (MMLV-RT). The generation of a consensus sequence enabled codon optimization, which aimed to increase the expression level by substituting the coding sequence of MMLV-RT with synonymous codons encoding the same amino acids for 
                <italic toggle="yes">E. coli</italic>, enhancing the expression level of MMLV-RT. As reported by Gaspar,
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> codon optimization is critical for increasing protein expression and recombinant gene expression in different host organisms. Codon optimization was followed by codon analysis using GenScript Codon Analysis (GenRCA), and the codon Adaptation Index (CAI) was found to be 0.72. The CAI is believed to reflect the expression levels of our gene of interest, and thus, we inferred that the His-MMLV-RT gene would be overexpressed in E. coli given its CAI.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> Appropriate GC content can vary depending on the biological context. In certain organisms and genomic regions, high GC content can be advantageous for gene expression and stability; however, in other contexts, low GC content may present challenges related to mutation rates and base quality.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> The average GC content was 57%, which is similar to a previous study.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
            </p>
            <p>Owing to the ease of growth in an inexpensive medium, 
                <italic toggle="yes">E. coli</italic> is the most popular system for producing recombinant proteins.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> The genetic characteristics of the ECOS-BL21 (DE3) strain, including the absence of proteolytic activity and the presence of a T7 RNA polymerase gene, enable the cloned DNA to be transcribed in high quantities as the transcription rate is high.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Efforts were made to optimize the culture conditions for protein expression. However, formation of inclusion bodies was observed, which may have been triggered by a high expression rate, as reported by Nuryana.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> In the current study, the protein was successfully expressed after the addition of the IPTG, which increased the expression induction from 3.98 cells/mL to 6.98 cells/mL. These results were similar to those obtained by Nuryana
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> and Chen,
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> which indicated that the addition of IPTG induced the expression of the desired enzyme.</p>
            <p>In comparison to other studies, this study, using SDS-PAGE and Western blotting, demonstrated the quality and purity of the MMLV-RT enzyme.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> The concentration of the in-house MMLV-RT-expressed enzyme was 0.367 mg/mL, as shown in 
                <xref ref-type="table" rid="T5">Table 5</xref>. After overexpression of the target MMLV-RT gene, the enzyme was first tested to ascertain whether it actually works. This was done by testing the enzyme with 15 SARS CoV 2 positive samples, five negative samples, and a negative control, in comparison with a commercial RT kit, namely, superscript (Invitrogen). Both the commercial and the recombinant in-house RT enzymes showed 15 positive bands and no bands for the five negative samples and one negative control, revealing that the developed enzyme was working.</p>
            <p>In the analysis of the performance of the recombinant In-house MMLV-RT Enzyme out of 129 samples analyzed for SARS-CoV 2, 89 positive and 40 negative samples, the concentrated In-house MMLV-RT enzyme showed 87 positive samples, translating to a sensitivity of 98.8%, while the x10
                <sup>&#x2212;1</sup> diluted In-house MMLV-RT enzyme showed 82 positives, translating to a sensitivity of 92.1%. On the other hand, out of the 40 SARS-CoV 2 negative samples analyzed, the concentrated In-house MMLV-RT enzyme showed 39 negatives, translating to a specificity of 98%, while the dilute In-house MMLV-RT enzyme showed 38 negatives, translating to a specificity of 95%. These results underscore the promising performance of the concentrated In-house MMLV-RT enzyme, affirming its potential utility in SARS-CoV-2 detection with a general sensitivity of 98.9% (95% CI 0.92-0.996) and specificity of 98% (95% CI 0.8712 &#x2013; 0.9987).</p>
            <p>The above results showed that the MMLV-RT enzyme prototype worked in the detection of SARS-CoV 2 RNA as indicated by a p-value of &lt; 0.0001.</p>
            <p>Our study has two limitations. First, due to the limited costs, we could not perform field evaluation of the recombinant in-house MMLV-RT enzyme. Second, inclusion bodies were formed during protein expression, which were solubilized during purification.</p>
        </sec>
        <sec id="sec35" sec-type="conclusion">
            <title>Conclusion</title>
            <p>We successfully produced a recombinant Moloney Murine Leukemia Virus Reverse Transcriptase enzyme whose performance was comparable to that of the standard commercial Reverse Transcriptase, as signified by the P value of the validation process (P value &lt;0.0001), a sensitivity of 98.9% (95% CI 0.92-0.996), and specificity of 98% (95% CI 0.8712 &#x2013; 0.9987).</p>
        </sec>
        <sec id="sec36">
            <title>Author contributions</title>
            <p>AAG: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Resources, Validation, Visualization, Writing &#x2013; Original Draft Preparation, Writing &#x2013; Review &amp; Editing; JWK: Conceptualization, Data Curation, Formal Analysis, Methodology, Supervision, Writing &#x2013; Original Draft Preparation, Writing &#x2013; Review &amp; Editing; SMN: Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Resources, Supervision, Writing &#x2013; Original Draft Preparation, Writing &#x2013; Review &amp; Editing; AWM: Investigation, Methodology, Validation, Visualization; FN: Investigation, Methodology, Writing &#x2013; Original Draft Preparation; GHS: Investigation, Methodology, Validation; JHK: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Supervision, Writing &#x2013; Original Draft Preparation, Writing &#x2013; Review &amp; Editing.</p>
        </sec>
    </body>
    <back>
        <sec id="sec39" sec-type="data-availability">
            <title>Data availability</title>
            <p>Figshare: Generation and Characterization of a variant of Thermostable Moloney Murine Leukemia Virus Reverse Transcriptase (MMLV-RT) Enzyme. 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.26582044.v1">https://doi.org/10.6084/m9.figshare.26582044.v1</ext-link>

                <sup>

                    <xref ref-type="bibr" rid="ref23">23</xref>
</sup>
            </p>
            <p>The project contains the following underlying data:
                <list list-type="order">
                    <list-item>
                        <label>1.</label>
                        <p>
MMLV_RT_Data_Analysis.csv</p>
                    </list-item>
                    <list-item>
                        <label>2.</label>
                        <p>MMLV_RT Raw Data.xls</p>
                    </list-item>
                    <list-item>
                        <label>3.</label>
                        <p>
MMLV_RT_ROC_Data.docx</p>
                    </list-item>
                    <list-item>
                        <label>4.</label>
                        <p>MMLV-RT_Generation_of_RT_Project_Genetic_Sequence_Aanlysis_Results.docx</p>
                    </list-item>
                </list>
            </p>
            <p>The data are available under the terms of the 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            <p>Figshare: Generation and Characterization of a variant of Thermostable Moloney Murine Leukemia Virus Reverse Transcriptase (MMLV-RT) Enzyme. 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.26709952">https://doi.org/10.6084/m9.figshare.26709952</ext-link>

                <sup>

                    <xref ref-type="bibr" rid="ref24">24</xref>
</sup>
            </p>
            <p>The project contains the following figures and tables:
                <list list-type="order">
                    <list-item>
                        <label>1.</label>
                        <p>
MMLV_RT_Figure_1_Codon_Adaptation_Index.docx</p>
                    </list-item>
                    <list-item>
                        <label>2.</label>
                        <p>
MMLV_RT_Figure_2_Coomassie Brilliant Blue (CBB) analysis Results.docx</p>
                    </list-item>
                    <list-item>
                        <label>3.</label>
                        <p>
MMLV_RT_Figure_3_Performance of In-house MMLV-RT enzyme against Commercial RT Enzyme.docx</p>
                    </list-item>
                    <list-item>
                        <label>4.</label>
                        <p>
MMLV_RT_Figure 4_Receiver Operator Characteristic.docx</p>
                    </list-item>
                    <list-item>
                        <label>5.</label>
                        <p>
MMLV_RT_Table 1_Primers_Used_in_Verifiction_SARS_CoV_2_Samples.docx</p>
                    </list-item>
                    <list-item>
                        <label>6.</label>
                        <p>
MMLV_RT_Table 2. Reaction Primers for the N-gene Targeted.docx</p>
                    </list-item>
                    <list-item>
                        <label>7.</label>
                        <p>
MMLV_RT_Table 3_codon analysis results.docx</p>
                    </list-item>
                    <list-item>
                        <label>8.</label>
                        <p>
MMLV_RT_Table 4. Density (DEN-1B).docx</p>
                    </list-item>
                    <list-item>
                        <label>9.</label>
                        <p>
MMLV_RT_Table 5. Performance metrics.docx</p>
                    </list-item>
                </list>
            </p>
            <p>The data are available under the terms of the 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            <p>Molecular analysis sequences were retrieved from the following database;</p>
            <p>GenBank: Wuhan seafood market pneumonia virus isolate Wuhan-Hu-1, complete genome.</p>
            <p>2/human/Japan/sb_ncgm_sars_cov_2_08204/2023 filenameRNA, complete genome. Accession number: MN908947.1;</p>
            <p>

                <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/MN908947.1">https://www.ncbi.nlm.nih.gov/nuccore/MN908947.1</ext-link> </p>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>I would like to express my great appreciation to Samuel Omari, Lameck Motari, Peter Rotich, Mathew Munyao, Lewis Karani, and Kelvin Thiong&#x2019;o for their technical support and assistance throughout the project. All the people mentioned gave permission to be appreciated in this study.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report371224">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.166957.r371224</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kanai</surname>
                        <given-names>Yuta</given-names>
                    </name>
                    <xref ref-type="aff" rid="r371224a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5102-6951</uri>
                </contrib>
                <aff id="r371224a1">
                    <label>1</label>Department of Virology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>4</day>
                <month>4</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Kanai Y</copyright-statement>
                <copyright-year>2025</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport371224" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.152224.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This manuscript reports the generation and characterization of a recombinant thermostable reverse transcriptase enzyme derived from Moloney Murine Leukemia Virus (MMLV-RT). The authors retrieved recent MMLV-RT sequences, constructed a codon-optimized consensus gene, and expressed it in E. coli. Following purification and validation of protein quality, the enzyme&#x2019;s functionality was evaluated by reverse transcription PCR (RT-PCR) using RNA extracted from 129 clinical SARS-CoV-2 samples (89 positive, 40 negative). The in-house enzyme demonstrated high diagnostic sensitivity and specificity.</p>
            <p> </p>
            <p> The authors show that their recombinant MMLV-RT enzyme can detect SARS-CoV-2 RNA in clinical samples. However, due to limitations in the experimental design&#x2014;particularly the lack of rigorous, side-by-side comparison of enzymatic efficiency and thermostability with commercial kits&#x2014;it remains uncertain whether the codon-optimized enzyme offers any functional advantage. While the work demonstrates feasibility of producing a functional RT enzyme, further optimization and well-controlled comparative analyses are necessary to establish its potential as a reliable alternative to commercial products.</p>
            <p> </p>
            <p> Major Comments</p>
            <p> </p>
            <p> The successful detection rate alone is not sufficient for a thorough evaluation of the in-house RT enzyme. More informative assessments, such as in vitro reverse transcription efficiency assays or testing under harsh conditions (e.g., degraded or low-input RNA), would be necessary to evaluate the robustness and reliability of the enzyme.</p>
            <p> </p>
            <p> The recombinant RT enzyme in this study and the commercial Superscript III RT enzyme were not prepared using the same purification protocols. As such, it remains unclear whether the performance relies the codon optimization strategy or differences in purification and formulation.</p>
            <p> </p>
            <p> Figure 2: Lanes 1 (protein marker), 2, and 3 appear to show similar banding patterns. Please unpurified fractions appear similar to the marker. Is this due to high background or low expression?</p>
            <p> </p>
            <p> Minor Comments</p>
            <p> </p>
            <p> Evaluation of enzyme thermostability is lacking. Please provide experimental data or a statement addressing this point.</p>
            <p> </p>
            <p> Methods : Consider to mention that the nucleotide sequences used to generate the consensus sequence, as well as the alignment results and the codon-optimized gene sequence, are included as supplementary data. Please cite the GenBank accession numbers of the original six sequences in the main text.</p>
            <p> </p>
            <p> Figure 2: Please clearly indicate which band corresponds to the RT enzyme. A molecular weight marker should be labeled to help identify the expected band.</p>
            <p> </p>
            <p> Figure 3: The figure legend should clarify what &#x201c;NC&#x201d; represents. Does it refer to a no-template control or a control reaction lacking RT enzyme?</p>
            <p> </p>
            <p> Table 4: Please include the result for the non-induced control (without IPTG) to confirm that increase of a mass is expression of recombinant protein.</p>
            <p> </p>
            <p> Result, Conclusion : The use of p-values in the manuscript is unclear and potentially misleading. P-values are typically used to test for statistically significant differences, not to support equivalence or similarity. Please clarify the statistical tests used and their context.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>No</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>No</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>No</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Virology, Molecular Science, Recombinant protein technology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
</article>
