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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genome Ed.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Genome Editing</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genome Ed.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2673-3439</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1663352</article-id>
<article-id pub-id-type="doi">10.3389/fgeed.2025.1663352</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>A long journey towards genome editing technologies in plants: a technical and critical review of genome editing technologies</article-title>
<alt-title alt-title-type="left-running-head">Gallo et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fgeed.2025.1663352">10.3389/fgeed.2025.1663352</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gallo</surname>
<given-names>Dylan</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/3251406"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Meunier</surname>
<given-names>Anne-C&#xe9;cile</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/392383"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>P&#xe9;rin</surname>
<given-names>Christophe</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/202240"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>UMR AGAP Institut, CIRAD, INRAE, Institut Agro, University Montpellier</institution>, <city>Montpellier</city>, <country country="FR">France</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Christophe P&#xe9;rin, <email xlink:href="christophe.perin@cirad.fr">christophe.perin@cirad.fr</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-11">
<day>11</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>7</volume>
<elocation-id>1663352</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>24</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Gallo, Meunier and P&#xe9;rin.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Gallo, Meunier and P&#xe9;rin</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-11">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Advancements in genome editing technologies, notably CRISPR/Cas9, base editing (BE), and prime editing (PE), have revolutionized plant biotechnology, offering unprecedented precision in crop improvement to address the ongoing global warming challenge. This review provides a critical analysis of recent developments in SpCas9-based editing tools, emphasizing enhancements in editing efficiency and specificity and follow the chronological development of editing tools. We explore methodological innovations, including dual pegRNA strategies and site-specific integrases, that have expanded the potential of PE for precise gene insertions. By integrating insights into DNA repair mechanisms and leveraging SpCas9 enhancements, we outline future directions for the application of genome editing in plant breeding.</p>
</abstract>
<kwd-group>
<kwd>plant</kwd>
<kwd>genome editing</kwd>
<kwd>prime editing</kwd>
<kwd>SpCas9</kwd>
<kwd>knock-in</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the French National Agency of Research (ANR PRCI Greener ANR-20-CE20-0028) and Global Methane Hub consortium (ARYZE project).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="203"/>
<page-count count="23"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Genome Editing in Plants</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Since 2012, editing technologies can be used to introduce specific DNA modifications at specific sites in the genome. The interest of genome editing technologies such as base editing and prime editing for functional genomics and plant molecular breeding is obvious, as they can accelerate the introduction of specific beneficial alleles at target regions in plant genomes. Although there are numerous reviews that demonstrate the interest of these technologies for breeding and also provide lists of edited plants that get longer every year, to our knowledge there is no review that describes and critiques all these technical advances in a complete way, from SpCas9 to the recent development of prime editing. We have therefore chosen to describe and develop these improvements and advances since SpCas9. In fact, improving the efficiency and specificity of Base Editing (BE) and Prime Editing (PE) requires leveraging improvements made in native SpCas9 alongside technology-specific modifications, and <italic>vice versa</italic>, some improvements in BE and PE should also be critical to the efficiency of SpCas9. Therefore, we felt that an integrated view was important to maximize the future use of these technologies in plant breeding. This lengthy review, while following the chronological order of the development of editing technologies, focuses mainly on SpCas9 and to a lesser extent on orthologs to SpCas9. In the final section, we attempt to point the future of plant genome editing and the barriers that need to be overcome to realize its full potential in plant breeding.</p>
</sec>
<sec id="s2">
<title>CRISPR/Cas9 and base editing: mechanisms and optimization</title>
<sec id="s2-1">
<title>CRISPR/Cas9 in a nutshell</title>
<sec id="s2-1-1">
<title>CRISPR/cas systems: from evolutionary immunity to the genome-editing revolution</title>
<p>The CRISPR/Cas9 system is an RNA-guided adaptative immune system in prokaryotes that targets foreign DNA where CRISPR/Cas stands for clustered regularly interspaced short palindromic repeats associated with Cas nuclease. This system emerged during the evolution of archaea and bacteria to prevent the invasion of these organisms by viruses (<xref ref-type="bibr" rid="B10">Barrangou et al., 2007</xref>; <xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>; <xref ref-type="bibr" rid="B26">Chylinski et al., 2014</xref>). There are two classes and 6 types of CRISPR/Cas systems known to date. Class 1 has effector modules composed of multiple Cas proteins, whereas the class 2 CRISPR mechanism requires a single Cas protein (CRISPR-associated protein) (<xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>; <xref ref-type="bibr" rid="B26">Chylinski et al., 2014</xref>). In class 2, Cas9 and Cas12 are DNA nucleases, whereas Cas13 is an RNA nuclease. In this review, we focus mainly on the widely used Cas9-based system; for further information about other CRISPR/Cas systems, see, for example, (<xref ref-type="bibr" rid="B55">Hille et al., 2018</xref>). See <xref ref-type="fig" rid="F1">Figure 1</xref> for a Chronological overview of major genome editing innovations.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Chronological overview of major genome editing innovations. From SpCas9, high-fidelity variants, SpCas9 orthologs, base editors, prime editors, and advanced strategies (dual pegRNAs, PASTE).</p>
</caption>
<graphic xlink:href="fgeed-07-1663352-g001.tif">
<alt-text content-type="machine-generated">Timeline of CRISPR advancements from 2012 to 2024. Key developments include SpCas9 in 2012, SaCas9 in 2015, CBE and EvoCas9 in 2016, ABE and HypaCas9 in 2017, PE in 2019, CGBE in 2020, epegRNA and PrimeDel in 2021, PE6 and PASTE in 2023, and DBE in 2024. Each year adds innovations like base editors and prime editors.</alt-text>
</graphic>
</fig>
<p>In prokaryotes, the CRISPR repeat array is transcribed into a precursor RNA, which contains multiple CRISPR RNAs (crRNAs). Each of these crRNAs contains a single 20-base pair sequence that is complementary to invading DNA (<xref ref-type="bibr" rid="B126">Mojica et al., 2009</xref>; <xref ref-type="bibr" rid="B44">Gasiunas et al., 2012</xref>; <xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>; <xref ref-type="bibr" rid="B26">Chylinski et al., 2014</xref>), and repeats of conserved sequences that are complementary to a section of a transactivating CRISPR RNA called tracrRNA. The primary transcript is then processed into individual crRNAs by ribonuclease III (RNase III). The crRNA-tracrRNA complex interacts with the Cas9 protein to form an active RNA-guided nuclease. A protospacer adjacent motif (PAM) sequence, NGG, where &#x201c;N&#x201d; is A, T, C or G, is required for the binding of the Cas9 protein to a target sequence complementary to the spacer sequence.</p>
<p>The PAM acts as a sequence that distinguishes &#x201c;self&#x201d; from &#x201c;non-self&#x201d;, and PAMs are absent from bacterial chromosome targets (<xref ref-type="bibr" rid="B126">Mojica et al., 2009</xref>). Cas9 endonuclease cleaves the target DNA (<xref ref-type="bibr" rid="B10">Barrangou et al., 2007</xref>; <xref ref-type="bibr" rid="B44">Gasiunas et al., 2012</xref>; <xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>) adjacent to PAM sequence in this case called protospacer. Alternative type II systems (<xref ref-type="bibr" rid="B26">Chylinski et al., 2014</xref>), such as Cas12a (previously known as CPF1), recognize a different PAM sequence, i.e., TTTV, where &#x201c;V&#x201d; is A, C, or G, and induce double-strand breaks with cohesive ends (<xref ref-type="bibr" rid="B189">Zetsche et al., 2015</xref>; <xref ref-type="bibr" rid="B145">Safari et al., 2019</xref>; <xref ref-type="bibr" rid="B3">Alok et al., 2020</xref>). Other Cas proteins identified subsequently also recognize alternative PAMs (<xref ref-type="bibr" rid="B147">Shah et al., 2013</xref>; <xref ref-type="bibr" rid="B92">Leenay et al., 2016</xref>). Among type II proteins, <italic>Streptococcus pyogenes</italic> Cas9 (SpCas9) has been extensively used and modified for biotechnological applications.</p>
</sec>
<sec id="s2-1-2">
<title>SpCas9 ribonucleoprotein (RNP) complex formation</title>
<sec id="s2-1-2-1">
<title>The SpCas9 endonuclease</title>
<p>SpCas9 is a protein with 7 structural domains: REC1, REC2, REC3, BH (bridge helix), Pi (PAM interaction), HNH and RuvC (<xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>; <xref ref-type="bibr" rid="B4">Anders et al., 2014</xref>; <xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>). Cas9 contains two catalytic sites: HNH, which cuts the DNA strand complementary to the sgRNA, and RuvC which cleaves the nontargeted DNA strand. The HNH and RuvC domains can be inactivated to create nickases (D10A or H840A) or deadCas9 (D10A and H840A). The HNH, RuvC and Pi domains are located in the NUC (nuclease) lobe. The REC1, REC2 and REC3 domains form the REC (recognition) lobe and correspond to multiple alpha-helical recognition domains that enable sgRNA binding to target DNA (<xref ref-type="fig" rid="F2">Figure 2a</xref>) (<xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>; <xref ref-type="bibr" rid="B4">Anders et al., 2014</xref>; <xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>; <xref ref-type="bibr" rid="B65">Jiang et al., 2015</xref>; <xref ref-type="bibr" rid="B66">Jiang et al., 2016</xref>; <xref ref-type="bibr" rid="B134">Pacesa et al., 2022a</xref>). The REC3 domain is fused to the HNH domain, and when the REC lobe interacts with RNA and DNA, its conformation changes, positioning the HNH domain opposite to RuvC to activate the generation of DNA double-strand breaks (<xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>; <xref ref-type="bibr" rid="B202">Zuo and Liu, 2017</xref>; <xref ref-type="bibr" rid="B136">Palermo et al., 2018</xref>; <xref ref-type="bibr" rid="B134">Pacesa et al., 2022a</xref>). The bridge helix (BH), an arginine-rich sequence, serves as a structural connector between the REC and NUC lobes and is crucial for mediating conformational transitions during Cas9 activation (<xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>; <xref ref-type="bibr" rid="B136">Palermo et al., 2018</xref>; <xref ref-type="bibr" rid="B7">Babu et al., 2019</xref>). The Pi domain comprises two subdomains, namely, the TOPO domain (for topoisomerase II homology), which is named because of its structural similarity with topoisomerase II (<xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>; <xref ref-type="bibr" rid="B4">Anders et al., 2014</xref>; <xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>; <xref ref-type="bibr" rid="B190">Zhang et al., 2019</xref>), and the CTD (C-terminal domain), which is the larger subdomain. The Pi domain recognizes and engages the PAM sequence in a positively charged groove and confers specificity to PAM site recognition (<xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>; <xref ref-type="bibr" rid="B4">Anders et al., 2014</xref>; <xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>; <xref ref-type="bibr" rid="B190">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="B167">Wang et al., 2021</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Schematic representations of SpCas9, sgRNA and the SpCas9/sgRNA/DNA complex. <bold>(a)</bold> Diagram of the main structural domains of SpCas9 domains, inspired by (<xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>; <xref ref-type="bibr" rid="B38">Dong et al., 2022</xref>). <bold>(b)</bold> Structural representation of the sgRNA. <bold>(c)</bold> 3D model of the SpCas9/target DNA/sgRNA complex generated with WebGL (4UN3, ProteinDataBank).</p>
</caption>
<graphic xlink:href="fgeed-07-1663352-g002.tif">
<alt-text content-type="machine-generated">Diagram showing three panels of the Cas9 protein complex. Panel (a) illustrates the structure with labeled REC and NUC lobes, highlighting ReCI, ReCII, ReCIII, BH, HNH, PI-domain, and RuvC. Panel (b) displays the guide RNA secondary structure with labeled tetraloop, stems, bulge, nexus, and hairpins. Panel (c) presents a three-dimensional model of the Cas9-sgRNA-DNA complex, with labels indicating the recognition and nuclease lobes, tetraloop, nexus, sgRNA, target DNA, and hairpins.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-1-2-2">
<title>Single guide RNA of S. pyogenes</title>
<p>The single guide RNA (sgRNA) is an engineered fusion between the crRNA (CRISPR RNA) and the tracrRNA (transactivating crRNA) of the original <italic>S. pyogenes</italic> system (<xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>) (<xref ref-type="fig" rid="F2">Figure 2b</xref>). The sgRNA guides Cas9 to its DNA target by recognizing a complementary sequence next to a PAM motif, triggering structural rearrangements that result in double-strand break (DSB) (<xref ref-type="fig" rid="F2">Figure 2c</xref>). At the 5&#x2032; extremity of the sgRNA, the first module is the spacer consisting of a sequence of 20 nucleotides that pairs with the complementary sequence (or protospacer) of the target (<xref ref-type="fig" rid="F2">Figures 2b,c</xref>). For Cas9 to bind to the target locus, the complementary sequence must be followed by a PAM sequence (<xref ref-type="bibr" rid="B71">Jinek et al., 2012</xref>; <xref ref-type="bibr" rid="B12">Briner et al., 2014</xref>; <xref ref-type="bibr" rid="B155">Szczelkun et al., 2014</xref>; <xref ref-type="bibr" rid="B153">Sternberg et al., 2015</xref>; <xref ref-type="bibr" rid="B123">Mekler et al., 2017</xref>). The spacer sequence can be broken down into two parts: a PAM-distal part from nucleotide 1 to 13 and a PAM-proximal part called &#x201c;the seed&#x201d; from nucleotide 14 to 20. While mismatches in the PAM-proximal &#x2018;seed&#x2019; region typically disrupt Cas9 binding, the distal portion can tolerate some variation, though four mismatches can eliminate editing activity in plant cells (<xref ref-type="bibr" rid="B125">Modrzejewski et al., 2020</xref>). This phenomenon is the cause of off-target cleavage (<xref ref-type="bibr" rid="B63">Ivanov et al., 2020</xref>; <xref ref-type="bibr" rid="B135">Pacesa et al., 2022b</xref>).</p>
<p>The spacer is followed by the constant part, tracrRNA, which allows binding to the Cas9 protein. This area is composed of 6 distinct structures: the lower stem, the bulge and the upper stem, which compose the synthetic tetraloop, and the nexus, the linker and the two hairpin structures of the 3&#x2032; end (<xref ref-type="bibr" rid="B4">Anders et al., 2014</xref>; <xref ref-type="bibr" rid="B12">Briner et al., 2014</xref>; <xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>). In the tetraloop, the lower stem is required for the catalytic activity of Cas9 (<xref ref-type="bibr" rid="B4">Anders et al., 2014</xref>; <xref ref-type="bibr" rid="B12">Briner et al., 2014</xref>; <xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>). The bulge is an essential element, and even small modifications to its sequence or structure render the Cas9 complex inoperable (<xref ref-type="bibr" rid="B12">Briner et al., 2014</xref>). The upper stem in the sgRNA version has no essential role in the formation of the complex with the enzyme, as it does not exist in the original form. Its role is dispensable, but lengthening of this region by 5&#xa0;bp slightly improves binding to the enzyme and therefore Cas9 efficiency (<xref ref-type="bibr" rid="B31">Dang et al., 2015</xref>).</p>
<p>The nexus module is described as the &#x2018;core&#x2019; of the Cas9/sgRNA interaction and it also indirectly interacts with the target DNA strand (<xref ref-type="fig" rid="F2">Figures 2b,c</xref>). This module is essential for the proper functioning of the sgRNA/Cas9 pair, as it has the most conserved nucleotide sequence of all of the modules in tracrRNA (<xref ref-type="bibr" rid="B12">Briner et al., 2014</xref>). The last two modules are hairpins 1 and 2. They consist of two stem&#x2012;loop hairpin structures that recognize and bind to Cas9 via interactions with the NUC lobe domain (<xref ref-type="bibr" rid="B72">Jinek et al., 2014</xref>; <xref ref-type="bibr" rid="B130">Nishimasu et al., 2014</xref>; <xref ref-type="bibr" rid="B8">Babu et al., 2021</xref>; <xref ref-type="bibr" rid="B135">Pacesa et al., 2022b</xref>). Although Hairpin 1 is not strictly required, its deletion greatly decreases cleavage efficiency (<xref ref-type="bibr" rid="B12">Briner et al., 2014</xref>), while hairpin 2 seems to be an essential structure (<xref ref-type="bibr" rid="B12">Briner et al., 2014</xref>). Hairpin 1 and the tetraloop, which emerged from Cas9 (<xref ref-type="fig" rid="F2">Figure 2c</xref>), have been extensively used to add new secondary structures without compromising the efficiency of the complex (<xref ref-type="bibr" rid="B143">Riesenberg et al., 2022</xref>) to develop derived applications (<xref ref-type="fig" rid="F2">Figure 2c</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s2-2">
<title>Evolution and improvements of SpCas9</title>
<sec id="s2-2-1">
<title>Improving the gene editing specificity of SpCas9</title>
<p>A major challenges of the development of this technology lies in reducing unintended DNA cleavage events, the off-target phenomena (<xref ref-type="bibr" rid="B57">Hsu et al., 2013</xref>; <xref ref-type="bibr" rid="B159">Tsai et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Doench et al., 2016</xref>; <xref ref-type="bibr" rid="B13">Cameron et al., 2017</xref>; <xref ref-type="bibr" rid="B88">Lazzarotto et al., 2020</xref>; <xref ref-type="bibr" rid="B135">Pacesa et al., 2022b</xref>), to enhance genome editing specificity. <xref ref-type="table" rid="T1">Table 1</xref> summarizes all of the GE specificity and efficiency approaches described in the following paragraphs. See also <xref ref-type="fig" rid="F3">Figure 3a</xref> for a schematic view of the mode of action of the SpCas9 sgRNA complex.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of key improvements in the specificity and efficiency of CRISPR/Cas9 editing. See main text for references.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center"/>
<th align="center">Name</th>
<th align="center">Description</th>
<th align="center">Purpose</th>
<th align="center">Plant species</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="left" style="color:#000000">GE efficiency</td>
</tr>
<tr>
<td rowspan="3" align="left">SpCAS9</td>
<td align="left">GE max</td>
<td align="left">R221K and N394K mutations</td>
<td align="left">DSB efficiency</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B149">Spencer and Zhang (2017)</xref>
</td>
</tr>
<tr>
<td align="left">TREX2</td>
<td align="left">Fusion of a TREX2 exonuclease</td>
<td align="left">Increase severity of mutation</td>
<td align="center">AT, NB, OS</td>
<td align="left">
<xref ref-type="bibr" rid="B111">Liu et al. (2024a)</xref>, <xref ref-type="bibr" rid="B15">Capdeville et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">BP NLS</td>
<td align="left">Adding Bipartite NLS instead of single NLS</td>
<td align="left">More efficient nucleus import of SpCAS9</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B34">Develtere et al. (2024)</xref>
</td>
</tr>
<tr>
<td rowspan="4" align="left">sgRNA</td>
<td align="left">hpsgRNA</td>
<td align="left">Adding hairpin sequence in 3&#x27;end of sgRNA</td>
<td align="left">Linking between sgRNA, SpCAS9 and target sequence</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B31">Dang et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">Hairpin 1 elongation</td>
<td align="left">Elongating hairpin 1 until reaching a Tm of 71&#xb0;</td>
<td align="left">Increase probably sgRNA stability</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B143">Riesenberg et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">dsgRNA</td>
<td align="left">dead guides sequences</td>
<td align="left">Increase editing in close chromatin regions</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B107">Liu et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">Composite</td>
<td align="left">Composite promoter (RNApolII/RNApolIII)</td>
<td align="left">Increase level of sgRNA transcription</td>
<td align="center">NT</td>
<td align="left"/>
</tr>
<tr>
<td colspan="6" align="left" style="color:#000000">GE specificity</td>
</tr>
<tr>
<td rowspan="11" align="left">SpCAS9</td>
<td align="left">eSpCAS9</td>
<td align="left">Mutations in NUC lobe</td>
<td align="left">High specificity, strong reduction of efficiency</td>
<td align="center">AT, OS, GM</td>
<td align="left">
<xref ref-type="bibr" rid="B160">Vakulskas et al. (2018)</xref>, <xref ref-type="bibr" rid="B142">Raitskin et al. (2019)</xref>, <xref ref-type="bibr" rid="B174">Xu et al. (2019)</xref>, <xref ref-type="bibr" rid="B54">He et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">HiFiCAS9, CAS9HF1, HypaCAS9</td>
<td align="left">Mutations in REC3 domain</td>
<td align="left">High specificity, strong reduction of efficiency</td>
<td align="center">NT, NT, OS</td>
<td align="left">
<xref ref-type="bibr" rid="B160">Vakulskas et al. (2018)</xref>, <xref ref-type="bibr" rid="B80">Kleinstiver et al. (2016)</xref>, <xref ref-type="bibr" rid="B22">Chen et al. (2017)</xref>, <xref ref-type="bibr" rid="B174">Xu et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">EvoCAS9</td>
<td align="left">Mutations in REC1 and REC3 domains</td>
<td align="left">High specificity, strong reduction of efficiency</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B16">Casini et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">SpartaCAS</td>
<td align="left">Mutations in REC1 and RuvC domains</td>
<td align="left">High specificity, strong reduction of efficiency</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B17">Cerchione et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Sniper-CAS9, SuperFI-CAS9</td>
<td align="left">Mutations in REC3, RuvC and HNH domains</td>
<td align="left">High specificity, medium reduction of efficiency</td>
<td align="center">NT, NT</td>
<td align="left">
<xref ref-type="bibr" rid="B89">Lee et al. (2018)</xref>, <xref ref-type="bibr" rid="B11">Bravo et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Sniper2L</td>
<td align="left">E1007L mutation</td>
<td align="left">High specificity without comprimising efficiency</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B77">Kim et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">SpCAS9 VQR, EQR, VRER</td>
<td align="left">D1135V/R1335Q/T1337R, D1135E/R1335Q/T1337R, D1135V/G1218R/R1335E/T1337R mutations</td>
<td align="left">Alternative NGG PAM (NGA, NGAG, or NGCG)</td>
<td align="center">OS, AT</td>
<td align="left">
<xref ref-type="bibr" rid="B79">Kleinstiver et al. (2015b)</xref>, <xref ref-type="bibr" rid="B59">Hu et al. (2018b)</xref>, <xref ref-type="bibr" rid="B61">Hua et al. (2019)</xref>, <xref ref-type="bibr" rid="B182">Yamamoto et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">xCAS9</td>
<td align="left">E480K/E543D/E1219V core mutations</td>
<td align="left">Alternative NGG PAM (NG, GAA and GAT)</td>
<td align="center">OS, AT</td>
<td align="left">
<xref ref-type="bibr" rid="B58">Hu et al. (2018a)</xref> <xref ref-type="bibr" rid="B142">Raitskin et al. (2019)</xref>, <xref ref-type="bibr" rid="B196">Zhong et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">CAS9-NG</td>
<td align="left">Near PAMless</td>
<td align="left">NG</td>
<td align="center">OS, AT, GM</td>
<td align="left">
<xref ref-type="bibr" rid="B131">Nishimasu et al. (2018)</xref>, <xref ref-type="bibr" rid="B61">Hua et al. (2019)</xref>, <xref ref-type="bibr" rid="B191">Zhang et al. (2020)</xref>, <xref ref-type="bibr" rid="B188">Zeng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">SpRY, SpG</td>
<td align="left">Near PAMless</td>
<td align="left">NRN (R &#x3d; A or G) and NAN; NGA, NGG, NGT</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B163">Walton et al. (2020)</xref>, <xref ref-type="bibr" rid="B98">Li et al. (2021)</xref>, <xref ref-type="bibr" rid="B178">Xu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">SpCAS9-VP64</td>
<td align="left">Fusion with a transcriptionnal activator</td>
<td align="left">Increase editing in close chromatin regions</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B107">Liu et al. (2019a)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">sgRNA</td>
<td align="left">CRISPOR/TEFOR</td>
<td align="left">Online software to design sgRNA</td>
<td align="left">Choose high efficient and high specific sgRNA for a target</td>
<td align="center">&#x2014;</td>
<td align="left">
<xref ref-type="bibr" rid="B53">Haeussler et al. (2016)</xref>, <xref ref-type="bibr" rid="B28">Concordet and Haeussler (2018)</xref>
</td>
</tr>
<tr>
<td align="left">dsgRNA/hpsgRNA</td>
<td align="left">Adding dead or truncated guides</td>
<td align="left">Reduce/suppress off target by masking non specific target</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B83">Kocak et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">hpsgRNA</td>
<td align="left">Adding hairpin sequence in 3&#x27;end of sgRNA</td>
<td align="left">Reduce off target by limiting unspecific Rloop formation</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B31">Dang et al. (2015)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NT, not tested in plants; OS, Rice; AT, A. thaliana; N, Nicotiana benthamiana; GM, Glycine max.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Schematic representation of SpCas9, Cytosine Base editor (CBE) and Prime editor (PE). <bold>(a)</bold> SpCas9-induced mutations. Upon recognition of the targeted strand by the SpCas9-sgRNA complex, SpCas9 cuts both the target strand and non-target strands, 3 nucleotides upstream of the PAM. The resulting DSB is repaired by NHEJ, which may restore the native sequence or introduce mutations through base pair insertions or deletions. <bold>(b)</bold> Cytosine Base Editing (BE3). The cytosine deaminase converts a cytosine (C) to an uracil (U) on the non-target strand. UGI inhibits BER to stabilize the U, while the nickase (D10A) cleaves the target strand near the PAM, triggering MMR of the unedited strand. The guanine (G) is then replaced by adenine (A) and during replication, the U is interpreted as thymine (T). <bold>(c)</bold> Prime editing (PE2). After recognition of the target strand, the nickase (H840A) cuts the non-target strand near the PAM. The primer binding site (PBS) anneals the complementary ssDNA, allowing MMLV to reverse transcribe the RT template. Competition between the 5&#x2032; and 3&#x2032; ssDNA flaps follows. If the 3&#x2032; flap is retains, it can form a heteroduplex with the unedited strand. MMR may then resolve the heteroduplex, leading either to insertion of the edited sequence or restoration of the original DNA.</p>
</caption>
<graphic xlink:href="fgeed-07-1663352-g003.tif">
<alt-text content-type="machine-generated">Three-panel diagram illustrating different CRISPR gene-editing mechanisms. Panel A shows a double-stranded break caused by sgRNA and PAM, leading to DNA disruption through non-homologous end joining. Panel B shows cytidine deamination facilitated by cytidine deaminase and UGI, resulting in DNA repair. Panel C depicts PBS annealing and reverse transcription, forming DNA flaps followed by DNA repair through flap processing.</alt-text>
</graphic>
</fig>
<sec id="s2-2-1-1">
<title>High-fidelity SpCas9</title>
<p>To improve specificity and reduce off-target effects, several high-fidelity (HiFi) SpCas9 variants have been developed, often with reduced cleavage efficiency as a trade-off. These include eSpCas9 (<xref ref-type="bibr" rid="B160">Vakulskas et al., 2018</xref>), Cas9HF1 (<xref ref-type="bibr" rid="B80">Kleinstiver et al., 2016</xref>), HypaCas9 (<xref ref-type="bibr" rid="B22">Chen et al., 2017</xref>), HiFiCas9 (<xref ref-type="bibr" rid="B160">Vakulskas et al., 2018</xref>), EvoCas9 (<xref ref-type="bibr" rid="B16">Casini et al., 2018</xref>), SpartaCas (<xref ref-type="bibr" rid="B17">Cerchione et al., 2020</xref>), Sniper-Cas9 (<xref ref-type="bibr" rid="B89">Lee et al., 2018</xref>), SuperFi-Cas9 (<xref ref-type="bibr" rid="B11">Bravo et al., 2022</xref>), and Sniper2L (<xref ref-type="bibr" rid="B77">Kim et al., 2023</xref>). Among them, Sniper2L appears to offer the best balance, significantly increasing specificity without major loss in activity, due to targeted mutations in the RuvC region involved in mismatch recognition (<xref ref-type="bibr" rid="B11">Bravo et al., 2022</xref>; <xref ref-type="bibr" rid="B77">Kim et al., 2023</xref>). In plant cells, while SpCas9HF2 has no editing capacity and HypaCas9 has a 50% reduction in editing efficiency compared with SpCas9 (<xref ref-type="bibr" rid="B174">Xu et al., 2019</xref>), eSpCas9 has comparable or greater efficiency and increased specificity up to 20-fold (<xref ref-type="bibr" rid="B142">Raitskin et al., 2019</xref>; <xref ref-type="bibr" rid="B174">Xu et al., 2019</xref>; <xref ref-type="bibr" rid="B54">He et al., 2022</xref>) in rice, soybean and <italic>Arabidopsis thaliana.</italic> Thus, eSpCas9 emerges as a promising tool for crop genome editing when minimizing off-target control is an important issue, whereas the usefulness in plants of other high-fidelity SpCas9s, such as Sniper2L Cas9, that currently offers the best specificity and cleavage efficiency, equivalent to that of SpCas9 in mammalian cells (<xref ref-type="bibr" rid="B77">Kim et al., 2023</xref>), remains to be demonstrated.</p>
<p>Engineering Cas9 to recognize other PAMs is a key strategy devised to address specificity issues when no specific guides are available with SpCas9. SpCas9 derivatives, such as Cas9-VQR, with D1135V/R1335Q/T1337R mutations; Cas9-EQR, with D1135E/R1335Q/T1337R mutations; and Cas9-VRER, with D1135V/G1218R/R1335E/T1337R mutations, have been engineered to recognize non-canonical PAMs, expanding the targeting scope from NGG to sequences such as NGA, NGAG and/or NGCG (<xref ref-type="bibr" rid="B79">Kleinstiver et al., 2015b</xref>) (<xref ref-type="table" rid="T1">Table 1</xref>). These extended variants offer a wider choice of sites to target, an advantage when no efficient and/or specific sgRNA can be used with spCas9. Similarly, non-NG Cas9s (<xref ref-type="bibr" rid="B124">Miller et al., 2020</xref>) or &#x2018;near-PAMless&#x2019; versions such as Cas9-NG (<xref ref-type="bibr" rid="B131">Nishimasu et al., 2018</xref>), SpG, and SpRY (<xref ref-type="bibr" rid="B163">Walton et al., 2020</xref>) have extended this capacity by relaxing the NGG PAM restriction to NGN or even more complex motifs such as NRN or NYN. Notably, discoveries surrounding xCas9, a new Cas9 variant that emerged from protocols for phage-assisted evolution, have led to substantial progress in this area (<xref ref-type="bibr" rid="B58">Hu J. H. et al., 2018</xref>). xCas9s recognize an extended array of PAM motifs, such as NG, GAA, and GAT, thereby providing broader targeting compatibility (<xref ref-type="bibr" rid="B58">Hu J. H. et al., 2018</xref>). They enhance specificity while maintaining the cleavage efficacy of SpCas9 in mammalian cells, particularly the models xCas9 3.6 and xCas9 3.7 (<xref ref-type="bibr" rid="B58">Hu J. H. et al., 2018</xref>). However, broader PAM compatibility can pose new challenges in off-target control, as the number of binding sites in a genome increase significantly. Cas9 variants that recognize alternative PAMs, including xCas9, Cas9-VQR, Cas9-EQR and Cas9-NG, have been successfully developed in plants but have a cleavage efficiency often lower than that of SpCas9 [see, for example, (<xref ref-type="bibr" rid="B59">Hu X. et al., 2018</xref>; <xref ref-type="bibr" rid="B61">Hua et al., 2019</xref>; <xref ref-type="bibr" rid="B182">Yamamoto et al., 2019</xref>; <xref ref-type="bibr" rid="B196">Zhong et al., 2019</xref>)]. Among these, xCas9, was described as having similar (<xref ref-type="bibr" rid="B142">Raitskin et al., 2019</xref>) or higher editing efficiency (<xref ref-type="bibr" rid="B196">Zhong et al., 2019</xref>) but better specificity than SpCas9 in <italic>A. thaliana</italic> and rice. Moreover, xCas9 and high-fidelity exCas9 seem to significantly improve the specificity while maintaining the efficiency (<xref ref-type="bibr" rid="B54">He et al., 2022</xref>). Near-PAMless versions, CAS9-NG (<xref ref-type="bibr" rid="B61">Hua et al., 2019</xref>; <xref ref-type="bibr" rid="B188">Zeng et al., 2020</xref>; <xref ref-type="bibr" rid="B191">Zhang et al., 2020</xref>) and SpRY and SpG were also active in plant (<xref ref-type="bibr" rid="B98">Li et al., 2021</xref>; <xref ref-type="bibr" rid="B178">Xu et al., 2021</xref>).</p>
</sec>
<sec id="s2-2-1-2">
<title>High-fidelity sgRNAs</title>
<p>Software packages such as CRISPOR (<xref ref-type="bibr" rid="B53">Haeussler et al., 2016</xref>; <xref ref-type="bibr" rid="B28">Concordet and Haeussler, 2018</xref>), have been created to predict potential sgRNAs for genome editing, assessing both their on-target efficiency and off-target risk for sequenced genomes. Despite advancements, Off-target prediction software can miss some sites, especially when the reference genome is missing, incomplete or poorly annotated. On the other hand, the performance of these software programs is improving, particularly with the development of model prediction algorithms or artificial intelligence (AI)-based software (<xref ref-type="bibr" rid="B134">Pacesa et al., 2022a</xref>; <xref ref-type="bibr" rid="B35">Dixit et al., 2023</xref>).</p>
<p>One approach to limiting off-target activity involves co-delivering additional guides during editing, either catalytically inactive or truncated, that still bind but do not cleave DNA, shielding off-target loci (<xref ref-type="bibr" rid="B42">Fu et al., 2014</xref>; <xref ref-type="bibr" rid="B27">Coelho et al., 2020</xref>). The first functional guide targets the editing zone, and the other guides mask the off-target sites (<xref ref-type="bibr" rid="B42">Fu et al., 2014</xref>; <xref ref-type="bibr" rid="B27">Coelho et al., 2020</xref>; <xref ref-type="bibr" rid="B144">Rose et al., 2020</xref>). This makes it possible to use a guide that is not very specific but is necessary to induce a specific mutation while limiting the formation of off-target mutations. This approach has one drawback: if the number of predicted off-target effects is high, many dead/truncated guides need to be multiplexed.</p>
<p>Incorporating a 3&#x2032; hairpin structure into the sgRNA to form hpsgRNA (<xref ref-type="bibr" rid="B83">Kocak et al., 2019</xref>) has been shown to increase the specificity of the complex for different Cas9s and different targets without significantly reducing the efficiency of editing (<xref ref-type="bibr" rid="B83">Kocak et al., 2019</xref>). This approach was found to be superior to the strategy using truncated RNA (<xref ref-type="bibr" rid="B83">Kocak et al., 2019</xref>). Other modifications involve the addition of a hairpin structure, which likely stabilizes sgRNAs and thus reduces their turnover by increasing their availability for binding to SpCas9. Although these approaches using high-fidelity sgRNAs to improve editing specificity are promising, to the best of our knowledge they have not yet been reported in plant systems.</p>
</sec>
</sec>
<sec id="s2-2-2">
<title>Improving the gene editing efficiency of SpCas9</title>
<sec id="s2-2-2-1">
<title>High-efficiency SpCas9</title>
<p>The DSBs generated by SpCas9 have blunt or slightly staggered ends (<xref ref-type="bibr" rid="B114">Longo et al., 2024</xref>), which are processed mainly through the classical nonhomologous end joining (cNHEJ) repair system (<xref ref-type="bibr" rid="B46">Gehrke et al., 2022</xref>). Most DSBs are thus repaired until the appearance of random mutations induced by cNHEJ errors (<xref ref-type="bibr" rid="B46">Gehrke et al., 2022</xref>), and these repeated cuts are also responsible for translocation and chromosomal rearrangement (<xref ref-type="bibr" rid="B186">Yin et al., 2022</xref>). Coexpressing TREX2 with 3&#x2032;-5&#x2032; exonuclease activity (<xref ref-type="bibr" rid="B19">Certo et al., 2012</xref>), which is involved in the DNA repair system (<xref ref-type="bibr" rid="B81">Ko et al., 2020</xref>), increases the mutation rate by degrading these overhang breaks and leads to the fixation of deletion-type mutations (<xref ref-type="bibr" rid="B19">Certo et al., 2012</xref>). Fusing SpCas9 to TREX2 exonuclease significantly increases editing efficiency while strongly inhibits chromosomal rearrangement (<xref ref-type="bibr" rid="B186">Yin et al., 2022</xref>). In plants, RNA viruses are used to co-deliver sgRNA and TREX2 (<xref ref-type="bibr" rid="B111">Liu D. et al., 2024</xref>) and increase only the mutation rate, i.e., the editing efficiency (<xref ref-type="bibr" rid="B111">Liu D. et al., 2024</xref>). Similarly, the recruitment of TREX2 to the SUNTAG system increases the mutation and deletion rates in <italic>A. thaliana</italic> by a factor of two (<xref ref-type="bibr" rid="B15">Capdeville et al., 2023</xref>). A mutation screen identified the combination of the R221K and N394K mutations in SpCas9 as enhancing editing activity twofold for eight targets, likely by facilitating HNH alignment during cleavage (<xref ref-type="bibr" rid="B149">Spencer and Zhang, 2017</xref>) in human cells. Finally, the use of a strong promoter to increase the expression of SpCas9 together with a bipartite NLS increased the editing rate (<xref ref-type="bibr" rid="B34">Develtere et al., 2024</xref>).</p>
</sec>
<sec id="s2-2-2-2">
<title>High-efficiency sgRNAs</title>
<p>A higher efficiency of GE is achieved with a spacer GC content of approximately 40%&#x2013;60% (<xref ref-type="bibr" rid="B106">Liu et al., 2016</xref>; <xref ref-type="bibr" rid="B121">Malik et al., 2021</xref>), and it is recommended that the GC content of the PAM-proximal region do not exceed 50% (<xref ref-type="bibr" rid="B121">Malik et al., 2021</xref>) and that of the PAM-distal region be more than 50% (<xref ref-type="bibr" rid="B87">Labuhn et al., 2018</xref>). Poly-T stretches within sgRNA can trigger RNA polymerase III stalling or backtracking and should be avoided (<xref ref-type="bibr" rid="B129">Nielsen et al., 2013</xref>). Hairpin RNA aptamers are sometimes added for GE and increase sgRNA efficiency, but adding more than two aptamers in either the upper stem or hairpin reduces cleavage efficiency (<xref ref-type="bibr" rid="B38">Dong et al., 2022</xref>). The cleavage efficiency can be significantly increased by extending the upper stem of the tetraloop by up to five base pairs (<xref ref-type="bibr" rid="B31">Dang et al., 2015</xref>), and by elongating hairpin 1 to achieve a melting temperature (Tm) of 71&#xa0;&#xb0;C (<xref ref-type="bibr" rid="B143">Riesenberg et al., 2022</xref>). These strategies will be of particular interest to test in plant systems. Intra molecular interactions between the spacer and tracrRNA or crRNA end can interfere with Cas9 activity and reduces cleavage efficiency.</p>
<p>GE efficiency rates vary according to chromatin opening in human cells (<xref ref-type="bibr" rid="B21">Chen et al., 2016</xref>; <xref ref-type="bibr" rid="B29">Daer et al., 2017</xref>) and in rice (<xref ref-type="bibr" rid="B107">Liu G. et al., 2019</xref>). On average, they are higher in open regions than in closed regions, and reversing a closed chromatin state to an open state restores GE efficiency (<xref ref-type="bibr" rid="B21">Chen et al., 2016</xref>; <xref ref-type="bibr" rid="B29">Daer et al., 2017</xref>). The presence of nucleosomes directly inhibits Cas9 binding and cleavage <italic>in vitro</italic> and <italic>in vivo</italic> (<xref ref-type="bibr" rid="B56">Horlbeck et al., 2016</xref>). By using additional dead sgRNAs close to the GE target region, it is possible to increase GE levels in rice (<xref ref-type="bibr" rid="B107">Liu G. et al., 2019</xref>), and interestingly, even in open chromatin regions, this strategy increases GE levels (<xref ref-type="bibr" rid="B107">Liu G. et al., 2019</xref>). Finally, the use of a version of SpCas9 fused to a transcriptional activator, SpCas9-VP64, also increases GE levels in closed chromatin regions, and combinatorial strategies, e.g., the use of dsgRNA and a transcriptional activator, have a synergistic effect (<xref ref-type="bibr" rid="B107">Liu G. et al., 2019</xref>).</p>
</sec>
<sec id="s2-2-2-3">
<title>Multiplexing sgRNA expression</title>
<p>Optimizing multiplex sgRNA expression is essential for plant breeding, with idea of simultaneously introducing multiple agronomically important alleles, to speed up varietal development. Currently, five distinct systems have been used for multiplexing sgRNA expression [79]. In the first system, the sgRNAs can be expressed under the control of their independent promoters (<xref ref-type="bibr" rid="B119">Ma et al., 2015</xref>). In the other systems, crRNAs or sgRNAs are under the control of a single promoter, and the polycistronic sequence is then posttranscriptionally cleaved. Each sgRNA can be separated with 5&#x2032;and 3&#x2032;tRNA sequences recognized by endogenous RNAse P and Z (<xref ref-type="bibr" rid="B171">Xie et al., 2015</xref>) or with 5&#x2032; HH (hammerhead) and 3&#x2032; HDV (hepatitis delta virus) ribozymes (<xref ref-type="bibr" rid="B156">Tang et al., 2016</xref>; <xref ref-type="bibr" rid="B192">Zhang et al., 2021</xref>) or by a CSY4 hairpin recognized by a coexpressed CSY4 RNA endonuclease (CRISPR/Cas9 subtype Ypest protein 4) (<xref ref-type="bibr" rid="B18">Cermak et al., 2017</xref>).</p>
<p>A study focusing on Cas12a compared the efficiency of various multiplexing strategies, and while the findings are specific to Cas12a, they may offer insights applicable to SpCas9 systems (<xref ref-type="bibr" rid="B192">Zhang et al., 2021</xref>). The use of an RNA pol II (or composite) promoter is important for efficient multiplexing efficiency, as RNA pol III promoters like U6 and U3 may have limitations in transcribing longer RNAs. The best multiplexing system uses HH and HDV ribozymes at the 5&#x2032;and 3&#x2032;ends, respectively, to separate each sgRNA. In this system, mutations were obtained in 15 out of 16 targets across seven primary transformants, with one plant having mutations in all targeted loci (<xref ref-type="bibr" rid="B192">Zhang et al., 2021</xref>). Another study evaluated these multiplexing systems in the context of prime editing and found the CSY4-based system to be the most efficient (<xref ref-type="bibr" rid="B128">Ni et al., 2023</xref>). Therefore, conclusions on the optimal multiplexing system remains premature, as performance may vary depending on the specific Cas nuclease employed.</p>
</sec>
</sec>
<sec id="s2-2-3">
<title>Cas9 orthologs as alternatives to SpCas9</title>
<p>There are many orthologs to SpCas9 from different prokaryotic organisms that have been used in plants, such as SaCas9 (<italic>Staphylococcus aureus</italic> Cas9) (<xref ref-type="bibr" rid="B152">Steinert et al., 2015</xref>), iSpyMacCas9, a hybrid between the PAM interacting (PI) domain of SpCas9 and the PI domain of Cas9 SmacCas9 (<italic>Streptococcus macacae Cas9)</italic> (<xref ref-type="bibr" rid="B151">Sretenovic et al., 2021b</xref>), St1Cas9 (<italic>Streptococcus thermophilus Cas9</italic>) (<xref ref-type="bibr" rid="B152">Steinert et al., 2015</xref>), Nm1Cas9 and Nm2Cas9 (<italic>Neisseria meningitidis Cas9</italic>) (<xref ref-type="bibr" rid="B179">Xu R. et al., 2022</xref>) or ScCas9 (<italic>Streptococcus canis Cas9</italic>) (<xref ref-type="bibr" rid="B176">Xu et al., 2020b</xref>). They offer certain advantages over SpCas9, such as recognition of alternative PAMs (<xref ref-type="table" rid="T2">Table 2</xref>), but have variable efficiencies and fidelity. SaCas9 is the most interesting alternative to SpCas9 in plant genome editing, with comparable or even superior editing efficiency than SpCas9 in many plant species (<xref ref-type="bibr" rid="B152">Steinert et al., 2015</xref>; <xref ref-type="bibr" rid="B74">Kaya et al., 2016</xref>; <xref ref-type="bibr" rid="B64">Jia et al., 2017</xref>; <xref ref-type="bibr" rid="B141">Qin et al., 2019</xref>; <xref ref-type="bibr" rid="B193">Zhang et al., 2022</xref>). Unlike SpCas9, SaCas9 recognizes a more specific PAM sequence (5&#x2032;-NNGRRT-3&#x2032;) which may limit the range of editing target regions. To broaden the number of targetable sites, the SaCas9-KKH variant, incorporating E782K/N968K/R105H mutations, recognizes an expanded PAM (5&#x2032;-NNNRRT-3&#x2032;) (<xref ref-type="bibr" rid="B78">Kleinstiver et al., 2015a</xref>) and appears to be as effective as the original nuclease in rice (<xref ref-type="bibr" rid="B141">Qin et al., 2019</xref>). Additionally, a high-fidelity variant of SaCas9 (N260D mutation) has been developed to minimize off-targets but has not yet been used in plants (<xref ref-type="bibr" rid="B172">Xie et al., 2020</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary of SpCas9 orthologs used in plants and their main characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">PAM</th>
<th align="center">Efficiency</th>
<th align="center">Specificity</th>
<th align="center">Remarks</th>
<th align="center">Plant species</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">CAS9 orthologs</td>
</tr>
<tr>
<td align="left">SpCas9</td>
<td align="center">5&#x2019;-NGG-3&#x2019;</td>
<td align="center">High</td>
<td align="center">Medium</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">SaCas9</td>
<td align="center">5&#x2019;-NNGRRT-3&#x2019;</td>
<td align="center">Medium to high</td>
<td align="center">Medium</td>
<td align="center">Best alternative to SpCAS9</td>
<td align="center">AT, OS, CS, GM</td>
<td align="left">
<xref ref-type="bibr" rid="B152">Steinert et al. (2015)</xref>, <xref ref-type="bibr" rid="B74">Kaya et al. (2016)</xref>, <xref ref-type="bibr" rid="B64">Jia et al. (2017)</xref>, <xref ref-type="bibr" rid="B141">Qin et al. (2019)</xref>, <xref ref-type="bibr" rid="B193">Zhang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">eSaCAS9</td>
<td align="center">5&#x2019;-NNGRRT-3&#x2019;</td>
<td align="center">Medium to high</td>
<td align="center">High</td>
<td align="center">N260D mutation</td>
<td align="center">NT</td>
<td align="left"/>
</tr>
<tr>
<td align="left">SaCAS9-KHH</td>
<td align="center">5&#x2019;-NNNRRT-3&#x2019;</td>
<td align="center">Medium to high</td>
<td align="center">Medium</td>
<td align="center">E782K/N968K/R105H mutations</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B78">Kleinstiver et al. (2015a)</xref>, <xref ref-type="bibr" rid="B141">Qin et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">ScCAS9</td>
<td align="center">5&#x27; -NNG- 3&#x27;</td>
<td align="center">High<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">Not tested</td>
<td align="center">PAM 5&#x27; -NAG- 3&#x27; in rice</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B176">Xu et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">St1CAS9</td>
<td align="center">5&#x27; -NNAGAAW- 3&#x27;</td>
<td align="center">Medium<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">Not tested</td>
<td align="left"/>
<td align="center">AT</td>
<td align="left">
<xref ref-type="bibr" rid="B152">Steinert et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">iSpyMacCAS9</td>
<td align="center">5&#x27; -NAA- 3&#x27;</td>
<td align="center">Medium<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">Not tested</td>
<td align="center">PAM 5&#x27;-NAAR- 3&#x27; in rice</td>
<td align="center">SL, OS, PT</td>
<td align="left">
<xref ref-type="bibr" rid="B151">Sretenovic et al. (2021b)</xref>
</td>
</tr>
<tr>
<td align="left">Nm1Cas9 and Nm2Cas9</td>
<td align="center">5&#x27; -NNNNGATT- 3&#x27; 5&#x27; -NNNNCC- 3&#x27;</td>
<td align="center">High<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> (Nm1CAS9) Low to medium<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> (Nm2CAS9)</td>
<td align="center">Medium<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">S593Q/W596R mutations in Nm2CAS9 increase editing efficiency</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B179">Xu et al. (2022a)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Except for SaCas9, AsCas12a and LbCas12a data in plants are limited. Efficiency and specificity assesments should therefore be interpreted with caution.</p>
</fn>
<fn id="Tfn2">
<p>NT, not tested in plants; OS, Rice; AT, A. thaliana; GM, Glycine max; PT, Populus trichocarpa; SL, Solanum lycopersicum; CS, Citrus sinensis</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-2-4">
<title>Knock-in by NHEJ/HDR</title>
<p>Knock-in consists of introducing complex modifications such as, for instance, HA tags, introduction of a reporter gene such as GFP, insertion of an enhancer into a promoter. The use of SpCas9 has significantly advanced targeted insertion, by enabling precise genome editing coupled with the activation of cellular repair systems such as NHEJ and HDR (homologous DNA repair), leading to insertion.</p>
<p>The NHEJ-KI technique in plants requires codelivery of SpCas9 complex, which targets the inserted zone, and a DNA template to be inserted (ssDNA oligonucleotides, dsDNA, plasmids, PCR products, etc.). Efficient insertion requires the simultaneous delivery of a large quantity of donor DNA with SpCas9 to reduce indel formation and increase the likehood of template&#x2019;s presence near the DSB site. Bringing the matrix to be inserted close to the target also improves the insertion rates (<xref ref-type="bibr" rid="B1">Aird et al., 2018</xref>; <xref ref-type="bibr" rid="B2">Ali et al., 2020</xref>).</p>
<p>Lu et al. used this approach to insert tags into the rice genome (<xref ref-type="bibr" rid="B118">Lu et al., 2020</xref>). They first reported that it was possible to insert tags using dsDNA oligos but not ssDNA. Modification of oligonucleotides at the 5&#x2032;end by phosphorylation to promote NHEJ and at the 5&#x2032;and 3&#x2032;ends by phosphorothioate linkage to protect against endogenous exonucleases strongly improved KI rates. Using 60-bp tags, they achieved insertion efficiencies of approximately 25%, i.e., a 5&#x2013;6-fold improvement over unmodified oligonucleotides for several targets (<xref ref-type="bibr" rid="B118">Lu et al., 2020</xref>). To test the insertion of larger fragments, they produced matrices for insertion via PCR of fragments with protected oligonucleotides (<xref ref-type="bibr" rid="B118">Lu et al., 2020</xref>). The efficiency decreased with increasing size of the inserted fragment (5% with 2&#xa0;kb), and the rate of deletions at the junction increased significantly, probably because only one strand of the PCR products was protected, in contrast with oligonucleotides protected on both strands.</p>
<p>Similar strategies, without end protection, were developed, and fragments of several kilobases were successfully inserted, with efficiency rates of 2%&#x2013;3%, suggesting that it is indeed possible to insert long fragments by biolistic techniques via NHEJ but at the cost of low efficiency (<xref ref-type="bibr" rid="B94">Li et al., 2016</xref>; <xref ref-type="bibr" rid="B177">Xu et al., 2020c</xref>). Finally, to achieve seamless insertions and sequence replacements, Lu et al. introduced the tandem repeat HDR (TDR-HDR) method, which combines initial NHEJ-mediated insertion of a first sequence followed by HDR-recombination facilitated by a second sRNA. The second sgRNA is used to cleave the sequence at the first inserted oligonucleotide, stimulating recombination via HDR between the two homologous fragments (<xref ref-type="bibr" rid="B118">Lu et al., 2020</xref>). This technique can be used to insert any sequence with an efficiency of approximately 15%.</p>
<p>While effective for sequence insertion or replacement, biolistics methods as opposed to <italic>Agrobacterium tumefaciens</italic> delivery, raises known problems, including extensive genomic rearrangements (deletions, duplications) and multiple inserted transgenes (see, for example, (<xref ref-type="bibr" rid="B108">Liu J. et al., 2019</xref>; <xref ref-type="bibr" rid="B9">Banakar et al., 2019</xref>), for a discussion of biolistic drawbacks). Currently, most technological developments for knock-in revolve around the use of prime editing (PE) and dual pegRNA.</p>
</sec>
</sec>
<sec id="s2-3">
<title>Base editing (BE): transitions and transversions without DSBs</title>
<p>Base editor 1 (BE1), the inaugural base editor, was engineered by fusing a catalytically inactive Cas9 (dCas9) with the rat cytidine deaminase rAPOBEC1 (<xref ref-type="bibr" rid="B84">Komor et al., 2016</xref>). The cytidine deaminase targets ssDNA within the R-loop formed by the dsDNA-sgRNA-dCas9 complex, converting cytosine (C) to uracil (U) within a limited editing window. During replication, the Mismatch Repair (MMR) system may replace the guanine (G) opposite the uracil (U) with adenine (A), and the uracil is converted to thymine (T), resulting in a C&#xb7;G to T&#xb7;A transition. However, BE1&#x2019;s editing efficiency was limited by repair cellular mechanisms such as uracil excision by Uracil DNA glycosylase (UDG) and the mismatch repair pathway favoring restoration of the original base pair. Uracil DNA glycosylase (UDG) recognizes and excises U through the base excision repair (BER) pathway, either restoring the original C&#xb7;G pair or introducing unintended mutations. Mismatch repair does not always favor the desired mutation, leading to reversions. To counteract UDG-mediated excision, BE2 was developed by adding a uracil glycosylase inhibitor (UGI) from the <italic>Bacillus subtilis</italic> phage PBS1, which significantly improved editing efficiency (<xref ref-type="bibr" rid="B84">Komor et al., 2016</xref>). Finally, BE3 introduced a key improvement: dCas9 was replaced with a nCas9 (D10A), introducing a nick in the non-edited strand to bias repair toward the edited strand (<xref ref-type="bibr" rid="B84">Komor et al., 2016</xref>). See <xref ref-type="fig" rid="F3">Figure 3b</xref> for a schematic view of the mode of action of a CBE. This modification significantly increased the frequency of permanent C&#xb7;G to T&#xb7;A conversions. Subsequent cytosine base editors (CBEs) have incorporated both nCas9 and UGI to maintain high editing efficiency (<xref ref-type="bibr" rid="B75">Kim et al., 2017</xref>). The introduction of BE4 and BE4max, which incorporate a dual UGI system, further enhanced UDG inhibition and improved editing efficiency (<xref ref-type="bibr" rid="B85">Komor et al., 2017</xref>; <xref ref-type="bibr" rid="B82">Koblan et al., 2018</xref>).</p>
<p>Following the advent of CBE(s), adenine base editors (ABEs) were quickly developed by fusing a nCas9 with a synthetic tRNA adenosine deaminase (<xref ref-type="bibr" rid="B45">Gaudelli et al., 2017</xref>). Unlike CBEs, ABEs catalyze A&#xb7;T to G&#xb7;C conversions, rather than C&#xb7;G to T&#xb7;A. Adenine deamination produces inosine (I), which is read as guanine (G) during DNA replication, eliminating the need of a UGI (<xref ref-type="bibr" rid="B45">Gaudelli et al., 2017</xref>). However, as with CBEs, the use of nCas9 (D10A) facilitates preferential repair of the edited strand, enhancing editing efficiency. For CBEs, the main cytidine deaminases used include rAPOBEC1 and AID/APOBEC3A (<xref ref-type="bibr" rid="B165">Wang et al., 2018</xref>), whereas ABEs rely on engineered adenosine deaminases (<xref ref-type="bibr" rid="B45">Gaudelli et al., 2017</xref>). A distinct category, C-to-G base editors (CGBEs), enables C&#xb7;G to G&#xb7;C transversions (<xref ref-type="bibr" rid="B23">Chen L. et al., 2021</xref>; <xref ref-type="bibr" rid="B86">Kurt et al., 2021</xref>). Unlike CBEs, which include a UGI to prevent uracil excision, CGBEs replace UGI with either UDG, also called eUNG [113] or BER pathway proteins [114]. UDG removes uracil (U), and under specific conditions, the repair machinery preferentially insert guanine (G) instead of cytosine (C), leading to a C-to-G conversion. More recently, dual base editors (DBEs), which combine ABEs and CBEs, have been developed to enable simultaneous C-to-T and A-to-G conversions within the same editing window (<xref ref-type="bibr" rid="B40">Fan et al., 2024</xref>; <xref ref-type="bibr" rid="B120">Ma et al., 2024</xref>). Such hybrid editors broaden the range of programmable base editing applications, especially in the context of multiplexed genetic modifications. The SWISS system use sgRNA scaffold (scRNA) embedded with two different aptamers, each binding to a specific protein fused to either a CBE or an ABE, enabling simultaneous base editing at two separate targets (<xref ref-type="bibr" rid="B96">Li C. et al., 2020</xref>). These technologies were rapidly applied to plant genome engineering, enabling precise genetic modifications, for CBE (<xref ref-type="bibr" rid="B117">Lu and Zhu, 2017</xref>; <xref ref-type="bibr" rid="B200">Zong et al., 2017</xref>; <xref ref-type="bibr" rid="B73">Kang et al., 2018</xref>), ABE (<xref ref-type="bibr" rid="B60">Hua et al., 2018</xref>; <xref ref-type="bibr" rid="B95">Li et al., 2018</xref>) and CGBE (<xref ref-type="bibr" rid="B150">Sretenovic et al., 2021a</xref>; <xref ref-type="bibr" rid="B157">Tian et al., 2022</xref>). For example, base editing has been used to enhance Nitrogen Use Efficiency in rice by introducing a modified NRT1.1B allele (<xref ref-type="bibr" rid="B117">Lu and Zhu, 2017</xref>).</p>
<p>To broaden the range of targetable loci, scientists engineered base editors utilizing Cas9 orthologs capable of recognizing alternative or expanded PAM sequences. SaCas9 (from <italic>S. aureus</italic> Cas9), recognizing the 5&#x2032; NNGRRT 3&#x2032; PAM motif, has been widely used due to its compact size and efficiency (<xref ref-type="bibr" rid="B78">Kleinstiver et al., 2015a</xref>; <xref ref-type="bibr" rid="B141">Qin et al., 2019</xref>). Further refinements included Cas9 variants with relaxed PAM requirements, such as SpCas9-NG, SpG, and SpRY, which enable broader target site selection (<xref ref-type="bibr" rid="B75">Kim et al., 2017</xref>; <xref ref-type="bibr" rid="B61">Hua et al., 2019</xref>). Additionally, high-fidelity Cas9 variants, including xCas9 and evoCas9, were engineered to reduce off-target activity while maintaining efficient base editing capabilities (<xref ref-type="bibr" rid="B196">Zhong et al., 2019</xref>; <xref ref-type="bibr" rid="B188">Zeng et al., 2020</xref>; <xref ref-type="bibr" rid="B191">Zhang et al., 2020</xref>).</p>
<p>Despite their advantages, CBEs introduce unintended mutations due to non-specific deamination, leading to random single-nucleotide variants independent of sgRNA targeting. Such off-targets effects have been documented in both in rice (<xref ref-type="bibr" rid="B69">Jin et al., 2019</xref>) and mouse embryos (<xref ref-type="bibr" rid="B203">Zuo et al., 2019</xref>; <xref ref-type="bibr" rid="B90">Lee et al., 2020</xref>). In contrast, ABEs do not exhibit the same genome-wide off-target effects (<xref ref-type="bibr" rid="B69">Jin et al., 2019</xref>; <xref ref-type="bibr" rid="B90">Lee et al., 2020</xref>). Additionally, both CBEs and ABEs have been reported to deaminate RNA, causing widespread transcriptome-wide RNA editing (<xref ref-type="bibr" rid="B48">Grunewald et al., 2019</xref>). To mitigate these issues, improved CBEs have been engineered with enhanced specificity and reduced off-target activity (<xref ref-type="bibr" rid="B48">Grunewald et al., 2019</xref>; <xref ref-type="bibr" rid="B70">Jin et al., 2020</xref>). An additional challenge is the reduced efficiency of BEs in dicotyledonous plants compared to monocots, possibly due to inadequate promoter strength in dicots (<xref ref-type="bibr" rid="B73">Kang et al., 2018</xref>; <xref ref-type="bibr" rid="B132">Niu et al., 2023</xref>). Furthermore, base editors are constrained by their editing window: CBEs typically edit cytosines within positions 4-8 from the 5&#x2032;end of the spacer, ABEs operate within positions 4&#x2013;7. When multiple cytosines reside within the CBE&#x2019;s editing window (positions 4&#x2013;8), simultaneous editing can occur, potentially comprising specificity. Strategies to narrow the editing window have been developed (<xref ref-type="bibr" rid="B75">Kim et al., 2017</xref>; <xref ref-type="bibr" rid="B67">Jiang et al., 2018</xref>), along with high-fidelity base editors that enhance precision (<xref ref-type="bibr" rid="B196">Zhong et al., 2019</xref>; <xref ref-type="bibr" rid="B188">Zeng et al., 2020</xref>; <xref ref-type="bibr" rid="B191">Zhang et al., 2020</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>Prime editing derived technologies: applications and innovations</title>
<p>Prime Editing (PE), introduced after the development of Base Editors (BEs), facilitates precise genome modifications beyond base substitutions. Unlike BEs, which only convert one base pair into another, PE can introduce targeted insertions, deletions (indels), and complex edits all without requiring a double-strand break (DSB) or a donor DNA template (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>). Due to its greater versatility and reduced off-target effects, Prime Editing is now a major focus in genome editing research, offering a more precise and flexible alternative to traditional base editing even if last generation of base editors can achieved higher efficiency for transversion and conversions than prime editors.</p>
<sec id="s3-1">
<title>Prime editing (PE): a flexible tool for precise modifications</title>
<p>Prime editing represents a major advancement from CRISPR/Cas9 technology, offering precision beyond traditional genome editing tools. The prime editor is composed of an nCas9 (H840A or D10A) fused to the N-terminus of a reverse transcriptase, initially from Moloney murine leukemia virus (MMLV) and a modified sgRNA called pegRNA. This technology was introduced and validated in 2019 by <xref ref-type="bibr" rid="B5">Anzalone et al. (2019)</xref>. The nCas9-MMLV complex binds to its target to form an R loop, after which nickase cleaves the nontarget strand (<xref ref-type="fig" rid="F3">Figure 3c</xref>). The free 3&#x2032; hydroxyl end of the nontarget strand then binds to the PBS (primer binding site) of the pegRNA 3&#x2032;extension. The MMLV then reverse transcribes the template (pegRNA 3&#x2032; extension) containing the mutation(s) to be introduced from the free DNA 3&#x2032; end, which has a priming function for the initiation of reverse transcription. Following removal of the 5&#x2032;flap, the 3&#x2032;flap can anneal to the target site, forming a DNA heteroduplex. In the original versions of prime editors, such as PE1 and PE2 (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>), the heteroduplex is spontaneously resolved by MMR by returning either to the WT sequence or the sequence to be introduced. In the PE3 version (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>), a second and classic guide is used to cleave the target strand at a short distance from the introduced mutations, favoring the introduction of the targeted mutation by MMR. This technology provides a broader range of flexibility than base editing making it more versatile for complex genome modifications. In theory, it can be used to introduce almost any mutation needed, ranging from a single modified base to more complex modifications (deletions, insertions, modifications of several bases, etc.). Initial attempts to apply PE in plants showed low efficiencies, typically under 1% and rarely above 10% (<xref ref-type="bibr" rid="B97">Li H. et al., 2020</xref>; <xref ref-type="bibr" rid="B104">Lin et al., 2020</xref>). Numerous improvements were soon published, enabling plant biologists to obtain rates increasingly close to those obtained in animal systems but also to improve specificity, defined as creating the desired allele while reducing or eliminating unwanted alleles. Recent studies have reported optimized plant prime editors capable of achieving over 20% efficiency for multi-nucleotide edits and small tag insertions in rice, with minimal indel formation (<xref ref-type="bibr" rid="B102">Li et al., 2023</xref>; <xref ref-type="bibr" rid="B197">Zhong et al., 2024</xref>). <xref ref-type="table" rid="T3">Table 3</xref> summarizes all of the PE improvements described in the following paragraphs.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Summary of major advancements in prime editing specificity and efficiency. See main text for references.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Name</th>
<th align="center">Description</th>
<th align="center">Purpose</th>
<th align="center">Plant species</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="6" align="left">PE efficiency</td>
</tr>
<tr>
<td rowspan="2" align="left">nCAS9</td>
<td align="left">PE max</td>
<td align="left">R221K and N394K mutations</td>
<td align="left">nCAS9 efficiency</td>
<td align="center">OS, ZM, TA</td>
<td align="left">
<xref ref-type="bibr" rid="B99">Li et al. (2022a)</xref>, <xref ref-type="bibr" rid="B128">Ni et al. (2023)</xref>, <xref ref-type="bibr" rid="B140">Qiao et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">MLHd1, MutS</td>
<td align="left">Fusion protein inhibiting the MMR pathway</td>
<td align="left">Increase probability of keeping edited flap. Contradictory results in plants</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B24">Chen et al. (2021b)</xref>, <xref ref-type="bibr" rid="B41">Ferreira Da Silva et al. (2022)</xref>, <xref ref-type="bibr" rid="B99">Li et al. (2022a)</xref>, <xref ref-type="bibr" rid="B161">Vu et al. (2022)</xref>, <xref ref-type="bibr" rid="B113">Liu et al. (2024c)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">MMLV</td>
<td align="left">&#x25b3;RNAseH</td>
<td align="left">Deletion of RNAseH</td>
<td align="left">Increased stabilization of the pegRNA/DNA heteroduplex</td>
<td align="center">OS, TA</td>
<td align="left">
<xref ref-type="bibr" rid="B37">Doman et al. (2023)</xref>, <xref ref-type="bibr" rid="B201">Zong et al. (2022)</xref>, <xref ref-type="bibr" rid="B128">Ni et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">V223A</td>
<td align="left">V223A mutation</td>
<td align="left">Increased MMLV processivity</td>
<td align="center">TA</td>
<td align="left">
<xref ref-type="bibr" rid="B128">Ni et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">NC</td>
<td align="left">Fusion with the N terminus of a nucleocapsid protein</td>
<td align="left"/>
<td align="center">TA</td>
<td align="left">
<xref ref-type="bibr" rid="B128">Ni et al. (2023)</xref>
</td>
</tr>
<tr>
<td rowspan="7" align="left">pegRNA</td>
<td align="left">evopreQ1</td>
<td align="left">Hairpin structure</td>
<td align="left">3&#x27; End protection by pegRNA</td>
<td align="center">OS, TA, ZM</td>
<td align="left">
<xref ref-type="bibr" rid="B127">Nelson et al. (2022)</xref> <xref ref-type="bibr" rid="B68">Jiang et al. (2022)</xref>, <xref ref-type="bibr" rid="B99">Li et al. (2022a)</xref>, <xref ref-type="bibr" rid="B201">Zong et al. (2022)</xref>, <xref ref-type="bibr" rid="B128">Ni et al. (2023)</xref>, <xref ref-type="bibr" rid="B140">Qiao et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">LITe</td>
<td align="left">Random linker between the PBS and RT template</td>
<td align="left">Reduced intramolecular pegRNA loops</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B127">Nelson et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">PBS reduction</td>
<td align="left">Shorter PBS (7-8&#xa0;bp)</td>
<td align="left">Reduced intramolecular pegRNA autoinhibition</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B109">Liu et al. (2021)</xref>, <xref ref-type="bibr" rid="B138">Ponnienselvan et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left">PBS Tm</td>
<td align="left">Tm of PBS is approximately 30&#xa0;&#xb0;C</td>
<td align="left">Increased prime editing</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B105">Lin et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Composite promoter</td>
<td align="left">Composite promoter (RNApolII/RNApolIII)</td>
<td align="left">Particularly increased level of sgRNA transcription</td>
<td align="center">OS, TA, ZM</td>
<td align="left">
<xref ref-type="bibr" rid="B99">Li et al. (2022a)</xref>, <xref ref-type="bibr" rid="B132">Ni et al. (2023)</xref>, <xref ref-type="bibr" rid="B140">Qiao et al. (2023)</xref>, <xref ref-type="bibr" rid="B162">Vu et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="left">spegRNA</td>
<td align="left">Introducing single-sense synonymous mutations in first bases after nicking site (either &#x2b;1, &#x2b;2/5, &#x2b;3/&#x2b;6)</td>
<td align="left">Inhibition of the MMR system</td>
<td align="center">OS</td>
<td align="left">
<xref ref-type="bibr" rid="B101">Li et al. (2022c)</xref>, <xref ref-type="bibr" rid="B180">Xu et al. (2022b)</xref>
</td>
</tr>
<tr>
<td align="left">apegRNA</td>
<td align="left">Substituting the G/A pair at the hairpin 1 base with a C/G</td>
<td align="left">Increased pegRNA stability</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B101">Li et al. (2022c)</xref>
</td>
</tr>
<tr>
<td align="left">PE specificity</td>
<td align="left">nCAS9 N854A</td>
<td align="left">N854A mutation</td>
<td align="left">Suppressing residual DSB generation activity of nickase</td>
<td align="center">NT</td>
<td align="left">
<xref ref-type="bibr" rid="B91">Lee et al. (2023)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NT, Not Tested in plants; TA, Triticum aestivum; OS, Oryza sativa; ZM, Zea mays.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Cas9 and reverse transcriptase mutations and modifications improve the efficiency and/or specificity of PE</title>
<sec id="s3-2-1">
<title>nCas9 modifications</title>
<p>One strategy to improve PE is to introduce specific mutations into SpCas9 that enhance its editing efficiency. Simultaneous introduction of the R221K and N394K mutations have been shown to double editing efficiency, across eight distinct human genomic targets (<xref ref-type="bibr" rid="B149">Spencer and Zhang, 2017</xref>). Located at the interface of the REC1 and REC2 domains, these mutations probably facilitate HNH positioning and SpCas9 cleavage activity. Incorporating these mutations into the prime editor, led to a fourfold increase in editing efficiency in plants systems (<xref ref-type="bibr" rid="B99">Li J. et al., 2022</xref>; <xref ref-type="bibr" rid="B128">Ni et al., 2023</xref>; <xref ref-type="bibr" rid="B140">Qiao et al., 2023</xref>). These mutations may affects nickase&#x2019;s cleavage efficiency and/or enhance pegRNA binding to its target. Unlike the D10A nickase, the H840A nickase which cut the nontargeted DNA strand has residual DSB activity (<xref ref-type="bibr" rid="B91">Lee et al., 2023</xref>). This residual activity is responsible for the significant rate of mutations induced by the NHEJ repair system. The mutation rate depends on the region targeted (<xref ref-type="bibr" rid="B91">Lee et al., 2023</xref>). Introduction of N854A and N863A mutations into the H840A nickase eliminate its residual DSB activity while maintaining editing efficiency, thus significantly enhancing specificity (<xref ref-type="bibr" rid="B91">Lee et al., 2023</xref>). This modification is obviously of interest for improving the specificity of PE for use in gene therapy but would also be useful in plants and use D10A nickase in prime editors thus represent also an interesting alternative to reduce indel formation but to our knowledge, it has never been tested in plants.</p>
</sec>
<sec id="s3-2-2">
<title>Reverse transcriptase modifications</title>
<p>The RNAse H domain of MMLV degrades viral RNA in heteroduplexes after retrotranscription. Its deletion have been shown to stabilize the pegRNA/DNA heteroduplex during PE, leading to a threefold increase editing efficiency as demonstrated in (<xref ref-type="bibr" rid="B201">Zong et al., 2022</xref>; <xref ref-type="bibr" rid="B128">Ni et al., 2023</xref>). Removing of both the RNAse H and the adjacent connection domain from MMLV reverse transcriptase completely abolished PE, suggesting the connection domain is necessary for the proper function of MMLV (<xref ref-type="bibr" rid="B128">Ni et al., 2023</xref>). Furthermore, the same authors demonstrated that the incorporation of a nucleocapsid protein, functioning as a chaperone for MMLV reverse transcriptase, also improved PE efficiency. Additional studies suggest that while the RNAse H-deficient version generally improves prime editing efficiency, it may lead to increased indel mutations with highly structured reverse transcriptase templates (RTT) (<xref ref-type="bibr" rid="B37">Doman et al., 2023</xref>). To improve pegRNA reverse transcription, researchers analyzed the effects of specific mutations described to improve MMLV reverse transcriptase activity in wheat PE (<xref ref-type="bibr" rid="B128">Ni et al., 2023</xref>). Introducing the V223A mutation resulted in an average sixfold increase in editing efficiency. This mutation has been associated previously with increase processivity and faster reverse transcription compared to the wild type enzyme (<xref ref-type="bibr" rid="B137">Paliksa et al., 2018</xref>). Other retrovirus-derived reverse transcriptases have been tested, such as those derived from cauliflower mosaic virus (CaMV) to enhance prime editing in rice and wheat (<xref ref-type="bibr" rid="B104">Lin et al., 2020</xref>). Although the CaMV-based prime editor works with an efficiency comparable to MMLV (<xref ref-type="bibr" rid="B104">Lin et al., 2020</xref>), none have been found to be superior. MMLV reverse transcriptase comes from animal systems and has been optimized for prime editing (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>). CaMV-derived reverse transcriptase, which comes from plants, has never been optimized. We can only speculate that introducing mutations analogous to those in MMLV (e.g., D200N, L603W, T306K, W313F, and T330P) could potentially improve the efficiency of CaMV-based prime editors in plant systems (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>). Introducing these or structurally analogous mutations, guided by predicted reverse transcriptase protein structures has been shown to significantly enhance PE efficiency of alternative RTs (<xref ref-type="bibr" rid="B37">Doman et al., 2023</xref>). Despite extensive efforts, involving mutagenesis and phage-assisted evolution, none of the reverse transcriptases developed have surpassed MMLV&#x2019;s efficiency in human cells prime editing applications (<xref ref-type="bibr" rid="B110">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B37">Doman et al., 2023</xref>). Interestingly, <xref ref-type="bibr" rid="B14">Cao et al. (2024)</xref> reported that PE6c, incorporating an engineered RT from the yeast Tf1 retrotransposon, and PE6d, a MMLV variant, achieved 2&#x2013;3.5-fold higher editing efficiency compared to PE3. Conversely, <xref ref-type="bibr" rid="B181">Xu et al. (2024)</xref> reported that PE6c was less efficient and PE6d equivalent to PE2 for small edits insertion in rice. Further experiments are thus needed to provide a final conclusion on the efficiency of these new versions of PE in plants. These novel, more compact RTs with efficiencies similar to MMLV, are particularly promising for applications where vector size is a limiting factor, such as RNA virus-mediated delivery systems for plant prime editing.</p>
</sec>
</sec>
<sec id="s3-3">
<title>PegRNA improvements</title>
<sec id="s3-3-1">
<title>PegRNA structure, folding, stability and expression</title>
<p>PegRNA secondary structure can lead to misfolding, which negatively impacts editing efficiency by promoting unfavorable intramolecular interactions. Although sgRNA are less prone to misfolding, their secondary structures can still influence editing. For example, in a study testing the structural determinants of the editing efficiency of many sgRNAs, the self-folding energy and Tm of the sgRNA were among the factors that were found to most strongly influence editing (<xref ref-type="bibr" rid="B166">Wang et al., 2019</xref>). Key factors influencing pegRNA functionality include: its availability and stability, the resistance of its 3&#x2032;-end to exonucleases degradation, and its secondary structure, which affects interactions with the nCas9-MMLV complex and the hybridization efficiency of the PBS to the non-targeted strand. While sgRNAs are largely shielded from 3&#x2032;exonuclease activity upon binding to SpCas9, the addition of 3&#x2032;extensions in pegRNAs exposes them to degradation. This degradation results in formation of competing truncated pegRNAs that can still associate with nCas9 but are ineffective for prime editing (<xref ref-type="bibr" rid="B127">Nelson et al., 2022</xref>). Incorporating structured RNA motifs, such as the 42-nucleotides evopreQ1, at the of 3&#x2032;-end of pegRNA enhances their stability and has led to significant improvements in PE efficiency (<xref ref-type="bibr" rid="B127">Nelson et al., 2022</xref>) in human cells. These improved pegRNA were termed enhanced pegRNA (epegRNA). To minimize unintended interactions between the structured motif and the pegRNA, the authors suggest inserting an 8-nucleotide random linker designed using the pegLIT software. Finally, they also demonstrated that incorporation of evopreQ1 could influence pegRNA transcription leading to a recommendation for using enhanced promoters to avoid a trade-off between pegRNA protection and transcription (<xref ref-type="bibr" rid="B127">Nelson et al., 2022</xref>). Additional 3&#x2032;modifications to pegRNAs have been shown to improved PE efficiency (<xref ref-type="bibr" rid="B109">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B100">Li et al., 2022b</xref>), probably by providing increase resistance to exonuclease degradation. Implementing the evopreQ1 motif at the 3&#x2032; end of pegRNA, <italic>i.e</italic>., using epegRNA, significantly improved the PE efficiency in several plant species (<xref ref-type="bibr" rid="B68">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B99">Li J. et al., 2022</xref>; <xref ref-type="bibr" rid="B201">Zong et al., 2022</xref>; <xref ref-type="bibr" rid="B128">Ni et al., 2023</xref>; <xref ref-type="bibr" rid="B140">Qiao et al., 2023</xref>).</p>
<p>An intrinsic feature of pegRNA design is the potential for intramolecular base pairing between the primer binding site (PBS) and the spacer sequence, as both target overlapping regions. This intramolecular interaction is responsible for an autoinhibitory effect that affects target binding and initiation of reverse transcription (<xref ref-type="bibr" rid="B109">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B138">Ponnienselvan et al., 2023</xref>). This autoinhibitory effect was demonstrated by substituting PE with Cas9 and using pegRNA to cleave the target, revealing reduced activity (<xref ref-type="bibr" rid="B109">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B161">Vu et al., 2022</xref>; <xref ref-type="bibr" rid="B138">Ponnienselvan et al., 2023</xref>). Using pegRNA instead of sgRNA has been shown to abolish or diminish editing efficiency in both mammalian and plant cells (<xref ref-type="bibr" rid="B138">Ponnienselvan et al., 2023</xref>). Historically, the most efficient PBSs were 11&#x2013;13 nucleotides long (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>; <xref ref-type="bibr" rid="B76">Kim et al., 2021</xref>), while recent studies found that shortening the PBS to 7&#x2013;8 nucleotides, alleviated autoinhibition, restoring editing with Cas9 and pegRNA (<xref ref-type="bibr" rid="B109">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B138">Ponnienselvan et al., 2023</xref>).</p>
<p>How can the conflicting findings regarding optimal PBS lengths be reconciled? Historically, pegRNAs lacked 3&#x2032;protected structures probably leading to partial degradation by endogenous exonucleases necessitating longer PBS regions to maintain functionality. Integration of 3&#x2032;protectives structures makes it possible to use shorter PBSs and limiting or even eliminating the autoinhibitory effect associated with longer PBSs in mammalian cells (<xref ref-type="bibr" rid="B109">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B138">Ponnienselvan et al., 2023</xref>). In plants, the impact remains unclear, since reducing the PBS size did not enhance editing efficiency in tomato (<xref ref-type="bibr" rid="B138">Ponnienselvan et al., 2023</xref>). However, the pegRNAs used in these experiments were not 3&#x2032;-protected and rendering them vulnerable to partial degradation by exonucleases, as noted by authors. The melting temperature of the PBS is another critical parameter influencing prime editing efficiency. The optimal melting temperature of PBS for a large set of pegRNAs in rice and mammalian cells corresponded to optimal growth temperatures of the host cells: 30&#xa0;&#xb0;C for rice (<xref ref-type="bibr" rid="B105">Lin et al., 2021</xref>) and 37&#xa0;&#xb0;C for mammalian cells (<xref ref-type="bibr" rid="B138">Ponnienselvan et al., 2023</xref>), respectively.</p>
<p>Another strategy to improve PE for indels is to modify the hairpin 1 of the pegRNA. Unlike shorter sgRNA, pegRNA carry additional RTT and PBS sequences at their 3&#x2032;end, which can disrupt hairpin 1 stability and lead to overall pegRNA misfolding. Replacing the G/A pair at the base of hairpin 1 with a C/G pair yielded the so-called &#x2018;apegRNA,&#x2019; enhancing prime editing efficiency roughly threefold (<xref ref-type="bibr" rid="B101">Li et al., 2022c</xref>). Interestingly, this approach echoes the GOLD strategy, developed to improve genome editing by increasing stability of hairpin 1 (<xref ref-type="bibr" rid="B143">Riesenberg et al., 2022</xref>). Authors have shown that suboptimal sgRNA suffer from unwanted 3&#x2032;-spacer base pairing with the spacer and locking hairpin 1 restored their activity (<xref ref-type="bibr" rid="B143">Riesenberg et al., 2022</xref>). GOLD stabilization strategy to pegRNA may similarly enhance prime editing efficiency and warrants experimental evaluation. To the best of our knowledge, these simple yet elegant strategies have not yet been evaluated in plants.</p>
<p>Multiple studies have reported that employing composite promoters (<xref ref-type="bibr" rid="B99">Li J. et al., 2022</xref>; <xref ref-type="bibr" rid="B128">Ni et al., 2023</xref>; <xref ref-type="bibr" rid="B140">Qiao et al., 2023</xref>) or utilizing viral amplicons (<xref ref-type="bibr" rid="B162">Vu et al., 2024</xref>) can substantially enhance prime editing efficiency in plants. There are many reasons for this: increased pegRNA transcription levels, as RNA polymerase II promoters are more effective at transcribing long RNAs; and improved pegRNA folding facilitated by incorporating a 5&#x2032;tRNA and a 3&#x2032;HDV ribozyme, which are cleaved during maturation. This is particularly true for low-efficiency sgRNAs, indicating that higher expression levels of pegRNA/sgRNA are necessary to achieve effective edition (<xref ref-type="bibr" rid="B187">Yuen et al., 2017</xref>).</p>
</sec>
<sec id="s3-3-2">
<title>Manipulation of the repair pathway</title>
<p>The mismatch repair (MMR) system corrects errors during replication by detecting mismatches and identifying the newly synthesized strand through nearby DNA nicks. Anzalone et al. introduced the PE3 system, which employs an additional sgRNA to nick the unedited strand at a distance from the edited strand, thereby enhancing the likelihood that the MMR system will replace it using the edited strand as a template (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>). However, simultaneous nicking of both DNA strands can lead to DSBs, which may be repaired by the non-homologous end joining (NHEJ) pathway, potentially resulting in indel mutations. To mitigate this issue, Anzalone et al. developed the PE3b system, where the additional sgRNA targets the edited strand, enabling for sequential nicking limiting the incidence of unintended indel (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>). Unfortunately, the PE3 and PE3b versions did not improve PE in plants for unknown reasons (<xref ref-type="bibr" rid="B104">Lin et al., 2020</xref>; <xref ref-type="bibr" rid="B175">Xu R. et al., 2020</xref>).</p>
<p>The 3&#x2032; ssDNA flap carrying the edited sequence competes with the 5&#x2032;flap derived from the unedited strand for integration into the genome (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>). Two approaches have therefore been explored to enhance 3&#x2032;flap incorporation during prime editing. The first approach is to inhibit repair pathways that are deleterious for PE and 3&#x2032;flap degradation. In bacteria, deletion of three exonucleases has been shown to enhance prime editing efficiency by up to 100-fold (<xref ref-type="bibr" rid="B194">Zhang et al., 2024</xref>). Combining PE with Cas12a-mediated CRISPR interference of exonucleases further boosts editing efficiency in bacterial models (<xref ref-type="bibr" rid="B194">Zhang et al., 2024</xref>). In mammalian cells, suppression of specific MMR components has also been found to increases prime editing efficiency (<xref ref-type="bibr" rid="B24">Chen P. J. et al., 2021</xref>; <xref ref-type="bibr" rid="B41">Ferreira da Silva et al., 2022</xref>). Unfortunately, attempts to replicate MMR inhibition strategies in plants, such as coexpressing dominant-negative forms of MLH1&#xa0;dh and MutS, have not significantly improved PE in rice and tomato (<xref ref-type="bibr" rid="B99">Li J. et al., 2022</xref>; <xref ref-type="bibr" rid="B161">Vu et al., 2022</xref>). However, RNAi-mediated knockdown of OsMLH1 improved PE in rice (<xref ref-type="bibr" rid="B113">Liu X. et al., 2024</xref>). While the precise genetic factors influencing PE in plants remain unclear, comparisons across species suggest that the repair pathways involved may differ significantly between bacteria, humans, and plants. In any case, of MMR inhibition must be temporary as prolonged suppression can elevate mutation rate and compromise genomic stability.</p>
<p>An alternative strategy involves facilitating the removal of the 5&#x2032;DNA flap by incorporating a 5&#x2032;to 3&#x2032;exonuclease into the prime editing system. In human cells, the recruitment of bacteriophage T5 exonuclease through PP7 (<italic>Pseudomonas</italic> bacteriophage) RNA aptamers inserted at the pegRNA&#x2019;s tetraloop has proven to be an effective system in human cells (<xref ref-type="bibr" rid="B158">Truong et al., 2024</xref>). This approach generally increases PE efficiency in comparison with the PEmax system, but above all, it improves PE specificity for insertion ranging from 30 to 60&#xa0;bp pairs, which is consistent with the idea that this system favors integration of longer 3&#x2032;flaps. A comparable strategy was applied in rice, where fusing the same to the N-terminus of the prime editor led to a 1.7- to 2.9-fold increase in editing efficiency varying with the target site (<xref ref-type="bibr" rid="B103">Liang et al., 2023</xref>). Interestingly, using a similar aptamer mediated exonuclease strategy as described in (<xref ref-type="bibr" rid="B158">Truong et al., 2024</xref>), resulted in reduced prime editing efficiency in his context (<xref ref-type="bibr" rid="B103">Liang et al., 2023</xref>). The authors utilized MS2 aptamers inserted in the 3&#x2032;end of the pegRNA, which may have negative effect on pegRNA binding to its target compared to tetraloop insertions (<xref ref-type="bibr" rid="B158">Truong et al., 2024</xref>), thereby reducing PE efficiency (<xref ref-type="bibr" rid="B103">Liang et al., 2023</xref>).</p>
<p>Prime editing efficiency depends on favoring the integration of the edited DNA strand over the original wild-type strand. The Mismatch repair (MMR) system typically targets edited strand for correction, as it preferentially recognizes nicks introduced during editing. Enhancing the incorporation of the edited strand, requires to bias the MMR to favor its integration. A strategy involves inhibiting MMR by introducing multiple synonymous mutations in and around the protospacer adjacent motif (PAM). Altering the PAM or the adjacent seed region through mutations prevent nCas9 from re-binding and re-cutting the edited strand, thereby reducing MMR recognition and enhancing prime editing efficiency (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>). Introducing multiple synonymous mutations can hinder MMR recognition, since MMR complex such as Msh2-Msh6 primarily detect single-base mismatches and small indels, whereas Msh2-Msh3 targets larger indels which is consistent with the idea that inhibiting of the MMR enhance prime editing efficiency (<xref ref-type="bibr" rid="B41">Ferreira da Silva et al., 2022</xref>). Consequently, multiple substitutions are less efficiently recognized by MMR, reducing the likelihood of the edited strand being corrected back to the wild-type sequence. Finally, targeting the coding strand (non-RNApolymerase template strand) of actively transcribed regions for editing may be advantageous as it is not used as a template for correction during transcription. Indeed, transcription-coupled repair, along with mismatch repair, preferentially monitors and corrects the template (non-coding) strand when heteroduplexes are present (<xref ref-type="bibr" rid="B47">Georgakopoulos-Soares et al., 2020</xref>). Therefore, editing the coding strand can also therefore theoretically increase the rate of prime editing, particularly when combined with introduction of multiple synonymous mutations.</p>
<p>This strategy of introducing multiple synonymous mutations has been effectively applied in both animal and plant cells. For instance, introducing same-sense mutations (SSMs) or silent mutations at positions &#x2b;1, 5, 6, 2/5, and 3/6, relative to the nicking site, has been shown to strongly enhance PE efficiency, by an average of 350-fold, particularly for pegRNAs with very low initial efficiency (<xref ref-type="bibr" rid="B101">Li et al., 2022c</xref>). These modified pegRNAs, termed spegRNAs are compatible with PE2 or PE3 systems, albeit demonstrating enhanced synergistic effects when used with PE3 (<xref ref-type="bibr" rid="B101">Li et al., 2022c</xref>). In rice, Xu, et al. demonstrated that introducing mutations within the RTT, at the PAM or PAM-proximal region strongly enhanced prime editing efficiency (<xref ref-type="bibr" rid="B180">Xu W. et al., 2022</xref>). Li, X. et al. proposed guidelines for introducing SSMs in single-base PE, suggesting placement at &#x2b;3/&#x2b;6 when substituting the first base after nicking, at &#x2b;1 for the second base, and at &#x2b;2/&#x2b;5 the third base (<xref ref-type="bibr" rid="B101">Li et al., 2022c</xref>). This strategy maintains the reading frame and ensures that only the targeted amino acid is modified. Combining spegRNA and apegRNA, where apegRNA correspond to a substitution of the G/A pair at the hairpin 1 base by a C/G, have shown synergistic effects (<xref ref-type="bibr" rid="B101">Li et al., 2022c</xref>). Interestingly, sapegRNAs also enhance PE efficiency in the PE2 system by approximately threefold, although this improvement is less pronounced compared to their effect in the PE3 system (<xref ref-type="bibr" rid="B101">Li et al., 2022c</xref>).</p>
</sec>
<sec id="s3-3-3">
<title>Dual pegRNA for prime edition</title>
<p>An interesting approach to enhance prime editing efficiency is to use a dual pegRNA system, where two pegRNA are designed to introduce identical modifications on both the 5&#x2032;and 3&#x2032;strands [see, for example, (<xref ref-type="bibr" rid="B105">Lin et al., 2021</xref>; <xref ref-type="bibr" rid="B25">Choi et al., 2022</xref>)]. This strategy therefore requires the design of two pegRNAs along with compatible nicking sites to facilitate simultaneous editing on both strands. Tools like PlantPegDesigner (<xref ref-type="bibr" rid="B105">Lin et al., 2021</xref>) provide design assistance for dual pegRNA strategies when applicable, aiming to optimize PE efficiency. This strategy is interesting, although its applicability depends on the availability of suitable target sites.</p>
</sec>
</sec>
<sec id="s3-4">
<title>Insertion by dual pegRNA prime editing</title>
<p>Prime editing allows for the insertion of short DNA sequences using a single pegRNA. Anzalone et al. demonstrated this by integrating sequences such as a His6 tag (18&#xa0;bp), a FLAG epitope tag (24&#xa0;bp), or an extended loxP site (44&#xa0;bp) into the HEK3 locus using the PE3 version, achieving efficiencies ranging approximately from 60% to 20% (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>). In plant systems, initial triasl showed low insertion efficiencies that declined sharply with increasing insert size: from 3% for a 3&#xa0;bp insertion, dropping to 0.3% for 15&#xa0;bp and becoming undetectable for insertions exceeding 15&#xa0;bp (<xref ref-type="bibr" rid="B104">Lin et al., 2020</xref>).</p>
<p>The use of optimized dual pegRNAs has markedly improved insertion efficiencies in plants. For example, the integration of a 36&#xa0;bp Lox66 sequence achieved an average insertion rate of 25% across eight distinct targets with efficiencies reaching up 50% (<xref ref-type="bibr" rid="B154">Sun et al., 2024</xref>). The GRAND (Genome-wide Rapid and Accurate DNA insertion) strategy (<xref ref-type="fig" rid="F4">Figure 4</xref>), utilizing dual pegRNAs, facilitated the insertion of 150&#xa0;bp and 250&#xa0;bp fragments with efficiencies of 60% and 30%, respectively. However, insertion efficiencies declined significantly for fragments exceeding 400&#xa0;bp (<xref ref-type="bibr" rid="B168">Wang J. et al., 2022</xref>). The GRAND approach employs two RTTs that are partially complementary to each other, ensuring no sequence homology with the targeted genomic region, thereby minimizing unintended recombination events (<xref ref-type="fig" rid="F4">Figure 4</xref>). Key factors for the success of this dual peg technology include designing the RTTs devoid of microhomology with the target sites and insuring that complementarity between the RTTs is restricted to their terminal regions (<xref ref-type="bibr" rid="B168">Wang J. et al., 2022</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Schematic representation of insertion via GRAND. <bold>(a)</bold> Following nicking and PBS annealing, <bold>(b)</bold> the RT templates are extended by reverse transcriptase, generating DNA flaps composed of specific (green) and complementary (red) sequences. <bold>(c)</bold> The 5&#x2032;flaps are processed, and the overlapping regions are resolved through gap filling, <bold>(d)</bold> the original genomic fragment is excised and replaced by the newly synthetized DNA segment. Inspired by <xref ref-type="bibr" rid="B168">Wang J. et al. (2022)</xref>.</p>
</caption>
<graphic xlink:href="fgeed-07-1663352-g004.tif">
<alt-text content-type="machine-generated">Diagram illustrating a multi-step genetic modification process. a) DNA strand nicking at NGG and GGN sites. b) Two RTT templates align without target sequence homology. c) Gap filling repair and flap cleavage depicted. d) Final ligation and insertion of a long DNA fragment.</alt-text>
</graphic>
</fig>
<p>Comparable dual peg methodologies have been used by other research groups (see, for example, (<xref ref-type="bibr" rid="B6">Anzalone et al., 2022</xref>)), confirming the efficiency of this knock-in strategy in plants (<xref ref-type="bibr" rid="B102">Li et al., 2023</xref>; <xref ref-type="bibr" rid="B154">Sun et al., 2024</xref>; <xref ref-type="bibr" rid="B197">Zhong et al., 2024</xref>), with insertion rates exceeding 20%&#x2013;30%. Interestingly, deletion efficiencies are also greater in plants utilizing dual pegs compared to those employing PE3s (<xref ref-type="bibr" rid="B112">Liu M. et al., 2024</xref>). Moreover, the introduction of multiple synonymous base mutations within the annealing regions RTT templates significantly enhanced insertion rate and, more importantly, enabled the generation of homozygous insertions in primary transformants via the PrimeDel approach. In rice, the PE6d variant has demonstrated superior performance over PE2 for small tag insertions (<xref ref-type="bibr" rid="B181">Xu et al., 2024</xref>). This variant combines the deletion of the RNAse H domain of MMLV along specific mutations (T128N/N200C/V223Y) to enhance reverse transcription processivity (<xref ref-type="bibr" rid="B37">Doman et al., 2023</xref>; <xref ref-type="bibr" rid="B181">Xu et al., 2024</xref>).</p>
<p>Finally, one of the limitations of dual pegRNAs strategies is related to the transcriptional capacity of U3 and U6 promoters, which are constrained in their ability to transcribe extended extended RTT sequences. In studies using dual pegRNA approaches to induce deletions (primeDel), the authors reported that stable genomic integration of prime editing constructs led to a progressive increased in deletion frequencies over time, surpassing those achieved through transient expression (<xref ref-type="bibr" rid="B25">Choi et al., 2022</xref>). These findings underscore the importance of using composite promoters, which not only enhance pegRNA transcription levels but also help the efficient transcription of RTTs exceeding 300&#xa0;bp, as the U6 and U3 promoters are unable to efficiently produce transcripts larger than 300&#xa0;bp. This limitation likely contributes to the observed decline in insertion efficiency of the GRAND technology when targeting sequences exceeding 400 base pairs (<xref ref-type="bibr" rid="B168">Wang J. et al., 2022</xref>).</p>
<p>Template-jumping PE (TJ-PE) is an alternative prime editing strategy inspired by the natural insertion mechanisms of retrotransposons (<xref ref-type="bibr" rid="B195">Zheng et al., 2023</xref>). This approach utilizes a single TJ-pegRNA that contains the desired insertion sequence flanked by two primer binding sites (PBSs). Following the initial retrotranscription, initiated at the 3&#x2032;nicked end, a second sgRNA induces a nick on the opposite DNA strand. This newly exposed 3&#x2032; end, complementary to the second PBS, serves as a primer for reverse transcription of the opposite strand. Insertion efficiencies achieves with TJ-PE are approximatively, 50%, 35% and 10% for 200, 300 and 500&#xa0;bp fragments, respectively, and for larger fragments such as 800&#xa0;bp, the efficiency drops to around 2%. These efficiencies are comparable to those achieved with GRAND technology; however, TJ-PE technology offers a theoretically simpler approach, requiring only a single pegRNA and sgRNA. This technology has not yet been tested in plants.</p>
</sec>
<sec id="s3-5">
<title>Dual pegs and site-specific integrases for the insertion of long sequences</title>
<p>To address the limitations associated with inserting large DNA, recent strategies have been combined dual prime editing techniques with site-specific integrases, facilitating recombination-based integration of extended DNA fragments. <xref ref-type="bibr" rid="B6">Anzalone et al. (2022)</xref> used their twinPE approach, utilizing dual pegRNA, to insert a homozygous attB sequence at the CCR5 locus. Subsequent transfection with a codon-optimized Bxb1 serine integrase and a donor DNA in plasmid flanked 5&#x2032;by an attP site resulted in knock-in efficiencies ranging from 12% to 17% for a 5.6&#xa0;kb sequence. <xref ref-type="bibr" rid="B184">Yarnall et al. (2023)</xref> adopted a comparable methodology, demonstrating that Cre/Lox systems were less effective than serine integrase for integrating long DNA sequences. Among the serine integrase tested, Bxb1 exhibited superior performance, achieving a 15% insertion rate for a 900&#xa0;bp fragment. This initial system, termed PASTEv1, featured a fusion of the Bxb1 serine integrase with the MMLV. Subsequent optimizations, including modifications to the linker region, the MMLV, Bxb1 sequences lead to the development of PASTEV2, which achieved an enhancer insertion efficiency of 30% (<xref ref-type="bibr" rid="B184">Yarnall et al., 2023</xref>). Integration of PASTEv2 with an optimized version of pegRNA (atgRNAv2), culminated in PASTEV3, which facilitated the insertion of DNA fragments up to 36&#xa0;kb at two distinct genomic loci. To streamline the design of optimized pegRNAs, the authors developed predictive software for atgRNA construction. Furtheremore, by using various serine integrases and attB/attP dinucleotide pairings, they demonstrated the feasibility of multiplexing the atgRNA strategy (<xref ref-type="bibr" rid="B184">Yarnall et al., 2023</xref>).</p>
<p>A similar strategy was implemented for targeted insertion of large fragments in rice (<xref ref-type="bibr" rid="B154">Sun et al., 2024</xref>). Initially, the authors optimized dual pegRNA-mediated prime editing, achieving average insertion efficiency of 25% across eight distinct targets in protoplasts and up to 40% in regenerated plants. Sun et al. reported that the use of the RNA polymerase II promoter is two times more effective than the use of RNA polymerase III promoter to generate large dual pegRNA insertions. Notably, use of RNA pol II promoter is still efficient for larger inserts, albeit with moderate reported rates of approximately 8% for 400&#xa0;bp, 3% for 500&#xa0;bp and below 1% for 720&#xa0;bp sequences (<xref ref-type="bibr" rid="B154">Sun et al., 2024</xref>). The study further demonstrated that Cre and FLP recombinase systems are among the most effective for plant genome engineering. Authors inserted Lox66 or F1&#xa0;m2 sequences using dual pegRNAs, followed by re-transformation of the resistant callus with constructs expressing either Cre of FLP integrase. The optimized version, termed PrimeRootV3.0, is capable of integrating sequences ranging from 1.4&#xa0;kb to over 11&#xa0;kb achieving insertion efficiency of approximately 3%&#x2013;6% through sequential transformation methods utilizing either biolistic delivery or <italic>A. tumefaciens</italic>.</p>
</sec>
<sec id="s3-6">
<title>Future directions: genome editing technologies for plant breeding</title>
<sec id="s3-6-1">
<title>Integrating SpCas9 enhancements into present and future genome editing technologies</title>
<p>Improving the efficiency and specificity of base editing (BE) and prime editing (PE) requires leveraging improvements made in native SpCas9 alongside technology-specific modifications. A rational approach to SpCas9-derived editing technologies should incorporate these optimizations upstream to develop more efficient constructs. For instance, incorporating introns into the SpCas9 has been shown to significantly boost expression and editing efficiency in dicotyledonous plants (<xref ref-type="bibr" rid="B49">Grutzner et al., 2021</xref>), suggesting potential benefits for both BE and PE. Similarly, composite promoters have been demonstrated to enhance the expression of inefficient sgRNAs and markedly increase PE efficiency in plant systems (<xref ref-type="bibr" rid="B99">Li J. et al., 2022</xref>; <xref ref-type="bibr" rid="B128">Ni et al., 2023</xref>; <xref ref-type="bibr" rid="B140">Qiao et al., 2023</xref>). Composite promoters should be particularly important for long RNA transcription and multiplexing strategies, which will be crucial for breeding applications. Further, increasing SpCas9 editing efficiency directly enhances PE efficiency (<xref ref-type="bibr" rid="B99">Li J. et al., 2022</xref>; <xref ref-type="bibr" rid="B128">Ni et al., 2023</xref>; <xref ref-type="bibr" rid="B140">Qiao et al., 2023</xref>), as demonstrated in PEmax, which incorporates double mutations in nCas9 (<xref ref-type="bibr" rid="B149">Spencer and Zhang, 2017</xref>) or a bipartite nuclear localization signal (BP-NLS) to improve nuclear targeting and editing rates compared to single NLSs (<xref ref-type="bibr" rid="B34">Develtere et al., 2024</xref>). The development of SpCas9-derived technologies can therefore benefit from advances in SpCas9&#x2019;s efficacy and specificity, and must therefore be taken into account in any current or future editing technology. GE and PE technologies have proven valuable in plant breeding, contributing to traits such as enhanced grain quality (<xref ref-type="bibr" rid="B198">Zhou et al., 2019</xref>) and broad-spectrum resistance to bacterial blast (<xref ref-type="bibr" rid="B51">Gupta et al., 2023</xref>) in rice. Notably, genome-edited crops like GABA-enriched tomatoes (<xref ref-type="bibr" rid="B164">Waltz, 2022</xref>) and high-oleic acid soybean (<xref ref-type="bibr" rid="B33">Demorest et al., 2016</xref>) have reached commercial markets. Beyond efficiency, specificity will become a critical factor for the routine application of genome editing technologies in breeding programs, particularly within Europe. The European Commission has proposed a threshold of 20 genetic modifications, mirroring changes achievable through conventional breeding, to classify such genome-edited plants equivalently to traditional bred counterparts (<xref ref-type="bibr" rid="B133">Organisms et al., 2024</xref>). This includes the targeted insertion of a contiguous DNA sequence already present within the gene pool.</p>
</sec>
<sec id="s3-6-2">
<title>Mastering DNA repair pathways: a key to efficient genome editing</title>
<p>Genome editing technologies rely on endogenous DNA repair mechanisms, with numerous modifications designed to modulating specific pathways to increase editing efficiency and precision. For example, MMEJ can be exploited to induce targeted deletions by carefully selecting sgRNA that promote this repair pathway (<xref ref-type="bibr" rid="B122">Martinez-Galvez et al., 2021</xref>). A novel Cas9 variant, vCas9, introduces staggered DNA cuts, thereby favoring repair via MMEJ and HDR pathways over NHEJ (<xref ref-type="bibr" rid="B20">Chauhan et al., 2023</xref>). Base editing (BE) techniques modulates DNA repair by inhibiting BER through the use uracil DNA glycosylase inhibitors (UGIs). Enhanced versions like BE4 and BE4max employ dual UGI system to strengthen this inhibition, while nicking the unedited DNA strand stimulate MMR to favor insertion of the desired edit (<xref ref-type="bibr" rid="B85">Komor et al., 2017</xref>; <xref ref-type="bibr" rid="B82">Koblan et al., 2018</xref>). Prime Editing (PE) efficiency can be enhanced by suppressing of MMR, either through conditional RNAi targeting OsMLH1 in rice or by introduction of multiple silent mutations (SSMs) within the RTT of pegRNA (<xref ref-type="bibr" rid="B180">Xu W. et al., 2022</xref>). PE3b enhances editing efficiency by introducing a second sgRNA to nick the unedited strand, facilitating precise repair stimulating MMR of the unedited strand (<xref ref-type="bibr" rid="B5">Anzalone et al., 2019</xref>). Beyond direct genome editing, CRISPR-based transcriptional modulation techniques such as CRISPR activation (CRISPRa) and interference (CRISPRi) can be also use to targeting key repair genes using catalytically inactive sgRNA termed dead sgRNAs (dsgRNAs) (<xref ref-type="bibr" rid="B30">Dahlman et al., 2015</xref>; <xref ref-type="bibr" rid="B185">Ye et al., 2018</xref>), a promising avenue to enhance efficiency and specificity of PE, BE and emerging editing technologies. Furthermore, variations in DNA repair pathway regulation across species may account for observed differences in editing efficiencies, especially between monocotyledonous and dicotyledonous plants. This is not new, the efficiency of stable T-DNA transformation in plants has long been associated with the activity of NHEJ and MMEJ repair pathways (<xref ref-type="bibr" rid="B139">Qi et al., 2013</xref>; <xref ref-type="bibr" rid="B146">Saika et al., 2014</xref>). Overexpression of Ku80, a pivotal protein in the NHEJ pathway, has been shown to improve transgene integration (<xref ref-type="bibr" rid="B93">Li et al., 2005</xref>). A deeper understanding of DNA repair mechanisms and their interplay with genome editing technologies is crucial to overcome existing limitations for applications of plant genome editing technologies.</p>
</sec>
<sec id="s3-6-3">
<title>Genome editing for crop improvement: overcoming transformation barriers</title>
<p>One of the main limitations to the use of genome editing technologies in plants is genetic transformation, which is still restricted to certain species and/or genotypes. For a recent review on this topic, see (<xref ref-type="bibr" rid="B170">Wang et al., 2025</xref>). Among transformation approaches, protoplast-based and biolistic methods offer the advantage of generating transgene-free edits, but they remain limited by laborious regeneration protocols and genotype dependency in most species. Biolistic delivery enables transformation of a wide range of tissues but the approach often causes extensive DNA rearrangements. By contrast, <italic>A. tumefaciens</italic> mediated transformation remains the most widely used and reliable system for stable integration with fewer somaclonal variants, although many agronomically important species remain recalcitrant and genotype dependent, underscoring the need to expand its applicability to diverse tissues and resistant genotypes.</p>
<p>To overcome this, strategies have been developed to improve transformation efficiency by modulating dedifferentiation regulators (such as GRF, WUSCHEL (WUS) and BABY BBOL (BBM) (<xref ref-type="bibr" rid="B116">Lowe et al., 2016</xref>; <xref ref-type="bibr" rid="B32">Debernardi et al., 2020</xref>). However, the constitutive expression of these pivotal developmental genes can lead to adverse effects, highlighting the need of alternative methods to enhance transformation and regeneration. An alternative promising strategy involved CRISPR activation (CRISPRa) using dead single-guides RNA (dsgRNAs) with inducible promoters enabling the temporal activation of these regulators within specific time frames (<xref ref-type="bibr" rid="B30">Dahlman et al., 2015</xref>). Furthermore, the same strategy can be used to facilitate stable insertions by enhancing the activity of the non-homologous end joining (NHEJ) repair pathway (<xref ref-type="bibr" rid="B93">Li et al., 2005</xref>).</p>
<p>In vegetatively propagated crops, the inability to eliminate transgenes through segregation necessitates the development of transgene-free genome editing approaches. This challenge is mainly being addressed by transient transformation of protoplasts, which avoids stable integration of transgenes while still allowing precise genetic modification (<xref ref-type="bibr" rid="B50">Gu et al., 2021</xref>). Another approach involves grafting wild-type shoots onto transgenic donor rootstocks that express mobile RNA versions of SpCas9 and sgRNA (<xref ref-type="bibr" rid="B183">Yang et al., 2023</xref>). However, efficient regeneration remains a significant hurdle for many species; the use of dedifferentiation regulators has been shown to enhance this process (<xref ref-type="bibr" rid="B116">Lowe et al., 2016</xref>; <xref ref-type="bibr" rid="B32">Debernardi et al., 2020</xref>). Moreover, the editing efficiency achieved trhough grafting strategies remains too low, often below 0.1%, rendering them impractical for routine breeding applications (<xref ref-type="bibr" rid="B183">Yang et al., 2023</xref>). Ultimately, for genome editing to be routinely applied in the breeding of vegetatively propagated crops, it is essential to optimize both transformation and editing efficiency. Without selection markers, the frequency of regenerated plants harboring the desired edit depends on both the success of transformation success and the efficiency of the editing process. Enhancing both transformation and editing efficiencies will minimize the screening required to identify desired mutations, thereby accelerating the adoption of genome editing in crop improvement.</p>
</sec>
<sec id="s3-6-4">
<title>Extending the reach of genome editing: identifying and introducing agronomic alleles</title>
<p>A key challenge in crop improvement is identifying alleles of agronomic interest and tailoring genome editing strategies accordingly. The majority of beneficial alleles have been discovered in model species, limiting their direct application to a wide range of crops species. Addressing this limitation, requires a comprehensive catalogue of beneficial alleles and the identification of their orthologs in target crop species through translational biology, thereby expending the repertoire of potential genetic improvements (<xref ref-type="bibr" rid="B62">Inze and Nelissen, 2022</xref>). The specific nature of the desired genetic alteration dictates the choice of genome editing technology.</p>
<p>For example, CRISPR/Cas9 can efficiently generate simple gene knockouts, exemplified by the yield-enhancing GS2 alleles in rice (<xref ref-type="bibr" rid="B169">Wang W. et al., 2022</xref>). However, intricate genetic modifications require advanced technologies: for example, base editing (BE) facilitates the introduction of the NRT1.1B allele to enhance nitrogen use efficiency (NUE) (<xref ref-type="bibr" rid="B117">Lu and Zhu, 2017</xref>), whereas prime editing (PE) enables the precise insertion of heat stress-responsive elements (HSEs) into invertase promoters in rice and tomato to maintain yield at high temperatures (<xref ref-type="bibr" rid="B115">Lou et al., 2025</xref>).</p>
<p>Addressing structural variations, including presence-absence variants (PAVs), like the <italic>SUB1</italic> (<xref ref-type="bibr" rid="B173">Xu et al., 2006</xref>) or <italic>PSTOL1</italic> (<xref ref-type="bibr" rid="B43">Gamuyao et al., 2012</xref>) genes in rice, remain challenging; however, emerging PE-based technologies capable of integrating kilobase-scale DNA sequences offer promising solutions (<xref ref-type="bibr" rid="B154">Sun et al., 2024</xref>). Combining the effects of these favorable alleles across various target species and genetic backgrounds is a crucial step. In rice, introduction yield-enhancing mutations across various genotypes has resulted in variable outcomes, likely due to unpredictable complex epistatic interactions (<xref ref-type="bibr" rid="B148">Shen et al., 2018</xref>). These findings highlight the need for comprehensive field trials and the continuous refinement of genome editing strategies.</p>
<p>This review offers an overview of recent progress in plant genome editing, from SpCas9 to prime editing. Genome editing technologies are becoming increasingly efficient and precise, thereby accelerating plant breeding and facilitating functional gene analysis. Among the most significant advances, multiplexing is pivotal to expediting breeding programs, as it allows the concurrent introduction of multiple advantageous mutations (<xref ref-type="bibr" rid="B198">Zhou et al., 2019</xref>; <xref ref-type="bibr" rid="B199">Zhou et al., 2024</xref>). Moreover, due to its versatility in facilitating both simple and complex genetic modifications, prime editing holds promise for large-scale, multi-target genome alterations, potentially revolutionizing crop improvement strategies (<xref ref-type="bibr" rid="B52">Gupta et al., 2024</xref>). Nevertheless, important limitations remain: the difficulty of achieving efficient transformation in many agronomically relevant species, restrictions on knock-in size, and heterogeneous prime editing efficiencies across targets and species. Future efforts should focus on improving transformation efficiency and delivery systems, as well as developing more robust and efficient prime editors for plant breeding and functional genomics. Finally, we have not yet reached the end of the golden path of genome editing with the advent of new emerging technologies like the bridge RNA (<xref ref-type="bibr" rid="B39">Durrant et al., 2024</xref>).</p>
</sec>
</sec>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s4">
<title>Author contributions</title>
<p>DG: Writing &#x2013; original draft, Writing &#x2013; review and editing. A-CM: Writing &#x2013; review and editing, Writing &#x2013; original draft. CP: Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>We thank Nancy Terrier for her critical review of the article.</p>
</ack>
<sec sec-type="COI-statement" id="s6">
<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>
<sec sec-type="ai-statement" id="s7">
<title>Generative AI statement</title>
<p>The author(s) declare that Generative AI was used in the creation of this manuscript. We used ChatGPT (version 4.0) to assist with language refinement, grammar checking and minor rewording during the preparation of the manuscript. We remain fully responsible for the scientific ideas, structure and interpretation presented in the review.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s8">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/465395/overview">Reuben Tayengwa</ext-link>, University of Maryland, United States</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/858107/overview">Gauri Nerkar</ext-link>, Indian Council of Agricultural Research, India</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3135576/overview">Pu Yuan</ext-link>, The Ohio State University Department of Plant Pathology, United States</p>
</fn>
</fn-group>
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<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>An engineered prime editor with enhanced editing efficiency in plants</article-title>. <source>Nat. Biotechnol.</source> <volume>40</volume>, <fpage>1394</fpage>&#x2013;<lpage>1402</lpage>. <pub-id pub-id-type="doi">10.1038/s41587-022-01254-w</pub-id>
<pub-id pub-id-type="pmid">35332341</pub-id>
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<surname>Zuo</surname>
<given-names>Z.</given-names>
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<name>
<surname>Liu</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Structure and dynamics of Cas9 HNH domain catalytic state</article-title>. <source>Sci. Rep.</source> <volume>7</volume>, <fpage>17271</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-017-17578-6</pub-id>
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<surname>Sun</surname>
<given-names>Y.</given-names>
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<surname>Wei</surname>
<given-names>W.</given-names>
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<surname>Yuan</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Ying</surname>
<given-names>W.</given-names>
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<surname>Sun</surname>
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</ref-list>
<sec id="s9">
<title>Glossary</title>
<def-list>
<def-item>
<term id="G1-fgeed.2025.1663352">
<bold>CRISPR</bold>
</term>
<def>
<p>clustered regularly interspaced short palindromic repeats</p>
</def>
</def-item>
<def-item>
<term id="G2-fgeed.2025.1663352">
<bold>Cas</bold>
</term>
<def>
<p>Cas-associated protein</p>
</def>
</def-item>
<def-item>
<term id="G3-fgeed.2025.1663352">
<bold>Cas9</bold>
</term>
<def>
<p>Cas-associated protein 9</p>
</def>
</def-item>
<def-item>
<term id="G4-fgeed.2025.1663352">
<bold>crRNA</bold>
</term>
<def>
<p>CRISPR RNAs</p>
</def>
</def-item>
<def-item>
<term id="G5-fgeed.2025.1663352">
<bold>nCas9</bold>
</term>
<def>
<p>nickase Cas9 (either D10A or H840A)</p>
</def>
</def-item>
<def-item>
<term id="G6-fgeed.2025.1663352">
<bold>dCas9</bold>
</term>
<def>
<p>dead Cas9 (D10A and H840A)</p>
</def>
</def-item>
<def-item>
<term id="G7-fgeed.2025.1663352">
<bold>SpCas9</bold>
</term>
<def>
<p>
<italic>Streptococcus pyogenes</italic> Cas9</p>
</def>
</def-item>
<def-item>
<term id="G8-fgeed.2025.1663352">
<bold>SaCas9</bold>
</term>
<def>
<p>
<italic>Staphylococcus aureus</italic> Cas9</p>
</def>
</def-item>
<def-item>
<term id="G9-fgeed.2025.1663352">
<bold>crRNA</bold>
</term>
<def>
<p>CRISPR RNA</p>
</def>
</def-item>
<def-item>
<term id="G10-fgeed.2025.1663352">
<bold>tracrRNA</bold>
</term>
<def>
<p>transactivating CRISPR RNA</p>
</def>
</def-item>
<def-item>
<term id="G11-fgeed.2025.1663352">
<bold>sgRNA</bold>
</term>
<def>
<p>single guide RNA</p>
</def>
</def-item>
<def-item>
<term id="G12-fgeed.2025.1663352">
<bold>hpsgRNA</bold>
</term>
<def>
<p>hairpin sgRNA</p>
</def>
</def-item>
<def-item>
<term id="G13-fgeed.2025.1663352">
<bold>dsgRNA</bold>
</term>
<def>
<p>dead sgRNA</p>
</def>
</def-item>
<def-item>
<term id="G14-fgeed.2025.1663352">
<bold>pegRNA</bold>
</term>
<def>
<p>prime editing guide RNA</p>
</def>
</def-item>
<def-item>
<term id="G15-fgeed.2025.1663352">
<bold>scRNA</bold>
</term>
<def>
<p>scaffold RNA</p>
</def>
</def-item>
<def-item>
<term id="G16-fgeed.2025.1663352">
<bold>PAM</bold>
</term>
<def>
<p>protospacer adjacent motif</p>
</def>
</def-item>
<def-item>
<term id="G17-fgeed.2025.1663352">
<bold>REC1, REC2, REC3</bold>
</term>
<def>
<p>recognition domain, 1, 2 and 3</p>
</def>
</def-item>
<def-item>
<term id="G18-fgeed.2025.1663352">
<bold>BH</bold>
</term>
<def>
<p>bridge helix</p>
</def>
</def-item>
<def-item>
<term id="G19-fgeed.2025.1663352">
<bold>HNH</bold>
</term>
<def>
<p>domain that cleaves the DNA strand complementary to the spacer</p>
</def>
</def-item>
<def-item>
<term id="G20-fgeed.2025.1663352">
<bold>RuvC</bold>
</term>
<def>
<p>nuclease domain that cleaves the DNA strand noncomplementary to the spacer</p>
</def>
</def-item>
<def-item>
<term id="G21-fgeed.2025.1663352">
<bold>Pi</bold>
</term>
<def>
<p>PAM interaction domain</p>
</def>
</def-item>
<def-item>
<term id="G22-fgeed.2025.1663352">
<bold>NUC</bold>
</term>
<def>
<p>nuclease domain</p>
</def>
</def-item>
<def-item>
<term id="G23-fgeed.2025.1663352">
<bold>TOPO</bold>
</term>
<def>
<p>topoisomerase domain</p>
</def>
</def-item>
<def-item>
<term id="G24-fgeed.2025.1663352">
<bold>CRISPRi</bold>
</term>
<def>
<p>CRISPR interference</p>
</def>
</def-item>
<def-item>
<term id="G25-fgeed.2025.1663352">CTD</term>
<def>
<p>C-terminal domain of SpCas9</p>
</def>
</def-item>
<def-item>
<term id="G26-fgeed.2025.1663352">
<bold>RNP</bold>
</term>
<def>
<p>ribonucleoprotein</p>
</def>
</def-item>
<def-item>
<term id="G27-fgeed.2025.1663352">
<bold>GE</bold>
</term>
<def>
<p>genome editing</p>
</def>
</def-item>
<def-item>
<term id="G28-fgeed.2025.1663352">
<bold>PE</bold>
</term>
<def>
<p>prime editing</p>
</def>
</def-item>
<def-item>
<term id="G29-fgeed.2025.1663352">
<bold>BE</bold>
</term>
<def>
<p>base editing</p>
</def>
</def-item>
<def-item>
<term id="G30-fgeed.2025.1663352">
<bold>rAPOBEC1</bold>
</term>
<def>
<p>rat cytidine deaminase</p>
</def>
</def-item>
<def-item>
<term id="G31-fgeed.2025.1663352">
<bold>UDG</bold>
</term>
<def>
<p>Uracil DNA glycosylase</p>
</def>
</def-item>
<def-item>
<term id="G32-fgeed.2025.1663352">
<bold>BER</bold>
</term>
<def>
<p>base excision repair</p>
</def>
</def-item>
<def-item>
<term id="G33-fgeed.2025.1663352">
<bold>UGI</bold>
</term>
<def>
<p>uracil glycosylase inhibitor</p>
</def>
</def-item>
<def-item>
<term id="G34-fgeed.2025.1663352">
<bold>CBE</bold>
</term>
<def>
<p>cytosine base editor</p>
</def>
</def-item>
<def-item>
<term id="G35-fgeed.2025.1663352">
<bold>ABE</bold>
</term>
<def>
<p>adenine base editor</p>
</def>
</def-item>
<def-item>
<term id="G36-fgeed.2025.1663352">
<bold>CGBE</bold>
</term>
<def>
<p>C-to-G base editor</p>
</def>
</def-item>
<def-item>
<term id="G37-fgeed.2025.1663352">
<bold>DBE</bold>
</term>
<def>
<p>dual base editor</p>
</def>
</def-item>
<def-item>
<term id="G38-fgeed.2025.1663352">
<bold>AI</bold>
</term>
<def>
<p>artificial intelligence</p>
</def>
</def-item>
<def-item>
<term id="G39-fgeed.2025.1663352">
<bold>cNHEJ</bold>
</term>
<def>
<p>classical nonhomologous end joining</p>
</def>
</def-item>
<def-item>
<term id="G40-fgeed.2025.1663352">
<bold>MMR</bold>
</term>
<def>
<p>mismatch repair</p>
</def>
</def-item>
<def-item>
<term id="G41-fgeed.2025.1663352">
<bold>HDR</bold>
</term>
<def>
<p>homologous DNA repair</p>
</def>
</def-item>
<def-item>
<term id="G42-fgeed.2025.1663352">
<bold>Csy4</bold>
</term>
<def>
<p>CRISPR/Cas9 subtype Ypest protein 4</p>
</def>
</def-item>
<def-item>
<term id="G43-fgeed.2025.1663352">
<bold>TDR-HDR</bold>
</term>
<def>
<p>Tandem repeat HDR</p>
</def>
</def-item>
<def-item>
<term id="G44-fgeed.2025.1663352">
<bold>HH</bold>
</term>
<def>
<p>hammerhead ribozyme</p>
</def>
</def-item>
<def-item>
<term id="G45-fgeed.2025.1663352">
<bold>HDV</bold>
</term>
<def>
<p>hepatitis delta virus ribozyme</p>
</def>
</def-item>
<def-item>
<term id="G46-fgeed.2025.1663352">
<bold>RT</bold>
</term>
<def>
<p>reverse transcriptase</p>
</def>
</def-item>
<def-item>
<term id="G47-fgeed.2025.1663352">
<bold>MMLV</bold>
</term>
<def>
<p>Moloney murine leukemia virus</p>
</def>
</def-item>
<def-item>
<term id="G48-fgeed.2025.1663352">
<bold>PBS</bold>
</term>
<def>
<p>primer binding site</p>
</def>
</def-item>
<def-item>
<term id="G49-fgeed.2025.1663352">
<bold>RTT</bold>
</term>
<def>
<p>reverse transcriptase template</p>
</def>
</def-item>
<def-item>
<term id="G50-fgeed.2025.1663352">
<bold>GRAND</bold>
</term>
<def>
<p>Genome-wide Rapid and Accurate DNA insertion</p>
</def>
</def-item>
<def-item>
<term id="G51-fgeed.2025.1663352">
<bold>SSB</bold>
</term>
<def>
<p>single-strand break</p>
</def>
</def-item>
<def-item>
<term id="G52-fgeed.2025.1663352">
<bold>DSB</bold>
</term>
<def>
<p>double-strand break</p>
</def>
</def-item>
<def-item>
<term id="G53-fgeed.2025.1663352">
<bold>dsDNA</bold>
</term>
<def>
<p>double-stranded DNA</p>
</def>
</def-item>
<def-item>
<term id="G54-fgeed.2025.1663352">
<bold>ssDNA</bold>
</term>
<def>
<p>single-stranded DNA</p>
</def>
</def-item>
<def-item>
<term id="G55-fgeed.2025.1663352">
<bold>CaMV</bold>
</term>
<def>
<p>cauliflower mosaic virus</p>
</def>
</def-item>
<def-item>
<term id="G56-fgeed.2025.1663352">
<bold>SSM</bold>
</term>
<def>
<p>same-sense mutation</p>
</def>
</def-item>
</def-list>
</sec>
</back>
</article>