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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">876987</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2022.876987</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comprehending the evolution of gene editing platforms for crop trait improvement</article-title>
<alt-title alt-title-type="left-running-head">Dhakate 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/fgene.2022.876987">10.3389/fgene.2022.876987</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Dhakate</surname>
<given-names>Priyanka</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/265444/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sehgal</surname>
<given-names>Deepmala</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/327815/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vaishnavi</surname>
<given-names>Samantha</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chandra</surname>
<given-names>Atika</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1842389/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Singh</surname>
<given-names>Apekshita</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Raina</surname>
<given-names>Soom Nath</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rajpal</surname>
<given-names>Vijay Rani</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1340492/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>National Institute of Plant Genome Research</institution>, <institution>Aruna Asaf Ali Marg</institution>, <addr-line>New Delhi</addr-line>, <country>India</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>International Maize and Wheat Improvement Center (CIMMYT)</institution>, <addr-line>M&#xe9;xico-Veracruz</addr-line>, <country>Mexico</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Botany</institution>, <institution>Central University of Jammu</institution>, <addr-line>Jammu</addr-line>, <country>India</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Botany</institution>, <institution>Maitreyi College</institution>, <institution>University of Delhi</institution>, <addr-line>New Delhi</addr-line>, <country>India</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Amity Institute of Biotechnology</institution>, <institution>Amity Institute of Biotechnology</institution>, <institution>Amity University</institution>, <addr-line>Noida</addr-line>, <country>India</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Botany</institution>, <institution>Hansraj College</institution>, <institution>University of Delhi</institution>, <addr-line>New Delhi</addr-line>, <country>India</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/129512/overview">Jitendra Kumar</ext-link>, Indian Institute of Pulses Research (ICAR), India</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/206730/overview">Debjyoti Sen Gupta</ext-link>, Indian Institute of Pulses Research (ICAR), India</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/870458/overview">Kumar Paritosh</ext-link>, University of Delhi, India</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1169121/overview">Guoliang Yuan</ext-link>, Oak Ridge National Laboratory (DOE), United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/243950/overview">Faiz Ahmad Joyia</ext-link>, University of Agriculture, Pakistan</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Vijay Rani Rajpal, <email>vijayrani2@gmail.com</email>; Soom Nath Raina, <email>soomr@yahoo.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Plant Genomics, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>876987</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>06</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Dhakate, Sehgal, Vaishnavi, Chandra, Singh, Raina and Rajpal.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Dhakate, Sehgal, Vaishnavi, Chandra, Singh, Raina and Rajpal</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)/Cas (CRISPR-associated) system was initially discovered as an underlying mechanism for conferring adaptive immunity to bacteria and archaea against viruses. Over the past decade, this has been repurposed as a genome-editing tool. Numerous gene editing-based crop improvement technologies involving CRISPR/Cas platforms individually or in combination with next-generation sequencing methods have been developed that have revolutionized plant genome-editing methodologies. Initially, CRISPR/Cas nucleases replaced the earlier used sequence-specific nucleases (SSNs), such as zinc-finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs), to address the problem of associated off-targets. The adaptation of this platform led to the development of concepts such as epigenome editing, base editing, and prime editing. Epigenome editing employed epi-effectors to manipulate chromatin structure, while base editing uses base editors to engineer precise changes for trait improvement. Newer technologies such as prime editing have now been developed as a &#x201c;search-and-replace&#x201d; tool to engineer all possible single-base changes. Owing to the availability of these, the field of genome editing has evolved rapidly to develop crop plants with improved traits. In this review, we present the evolution of the CRISPR/Cas system into new-age methods of genome engineering across various plant species and the impact they have had on tweaking plant genomes and associated outcomes on crop improvement initiatives.</p>
</abstract>
<kwd-group>
<kwd>CRISPR/Cas system</kwd>
<kwd>base editing</kwd>
<kwd>prime editing</kwd>
<kwd>epigenome editing</kwd>
<kwd>crop improvement</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Over the past decade, the gene-editing platforms have shown tremendous evolution to accommodate the dual concerns of biosafety of edited crops and the efficiency of the platform used. Efficient and rapid genomic sequencing platforms have facilitated a better understanding of plant genomes, particularly when used in conjunction with genome editing (GE). Restructuring genomes <italic>via</italic> introduction of heritable genomic changes for expressing desirable quality traits in crops has been the focus of research for decades. The primitive methods of genome restructuring involved the use of genotoxic agents to introduce random double-stranded breaks (DSB) that were subsequently repaired by inherent non-homologous end joining (NHEJ) pathways resulting in random mutations (<xref ref-type="bibr" rid="B120">Puchta, 2005</xref>). After decades of usage of these random mutations generating tools, GE platforms have gone through many phases of improvement over the years. For example, the discovery of sequence-specific nucleases (SSNs) such as zinc-finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs) helped to engineer the genome at intended loci by mediating the cleavage of dsDNA. The use of these nucleases induced the native NHEJ pathway for DNA repair (<xref ref-type="bibr" rid="B132">Salomon and Puchta, 1998</xref>). This method of GE, however, is both cost- and labor-intensive as it requires the development of sequence-specific nucleases/proteins. In addition, GE using these nucleases was inefficient as unintended off-target edits were introduced by the induction of the error-prone NHEJ repair pathway.</p>
<p>Given the obvious limitations of ZFNs and TALENs, the vacuum was soon filled with the discovery of CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)/Cas (CRISPR-associated) nucleases. In prokaryotes, the CRISPR/Cas system exists as a means of endogenous small RNA-based adaptive defense mechanism that protects the host bacterial cell <italic>via</italic> sequence-specific recognition and targeted cleavage of viral DNA (<xref ref-type="bibr" rid="B55">Jinek et al., 2012</xref>). With an approximate length of 32&#xa0;bp, the length of CRISPR repeat sequences varies between 21 and 47&#xa0;bp across prokaryotes. Every CRISPR repeat sequence harbors a unique sequence that is specific to the bacterial species processing it and has, therefore, been conserved over the course of evolution (<xref ref-type="bibr" rid="B202">Karginov and Hanon 2010</xref>). CRISPR was first discovered by a Japanese group in 1987 while studying the <italic>iap</italic> gene from the <italic>E. coli</italic> genome (<xref ref-type="bibr" rid="B201">Ishino et al., 1987</xref>). They identified CRISPR as homologous repeated sequences of only a few nucleotides interspersed by spacer sequences. Following this, CRISPRs were reported from the archaeal genome, <italic>Haloferax mediterranei</italic> (<xref ref-type="bibr" rid="B111">Mojica et al., 1993</xref>). However, the prodigious potential of the CRISPR/Cas9 as a GE platform was discovered just a decade ago (<xref ref-type="bibr" rid="B55">Jinek et al., 2012</xref>). To employ this tool, a customized small guide RNA (gRNA) is designed to identify the intended target and guide the associated Cas9 protein to introduce DSBs in the target genomic DNA. Indels are introduced at the target site as the repair pathway <italic>via</italic> NHEJ is triggered. Over the course of evolution of the platform, new variants of Cas proteins have been mobilized to increase the efficiency of the CRISPR/Cas9-mediated GE.</p>
<p>During the past decade, the term &#x201c;CRISPR/Cas&#x201d; has evolved into a synonym for GE following which off-targeting instances with the use of CRISPR/Cas systems have reduced manifold (<xref ref-type="bibr" rid="B110">Modrzejewski et al., 2020</xref>). However, the goal of achieving &#x201c;no off-target&#x201d; remains elusive. In addition, with the involvement of the NHEJ repair pathway, the efficiency of this platform has always been disputable. In the third phase of the evolution of GE platforms, the CRISPR/Cas platform evolved to target the epigenome of an organism which was termed epigenome editing (<xref ref-type="bibr" rid="B67">Konermann et al., 2013</xref>). In epigenome editing, chromatin modification at specific genomic loci involves the use of epi-effectors that are comprised of DNA recognition domains (ZFNs, TALENs, or CRISPR/Cas system) and catalytic domains from a chromatin-modifying enzyme. Epigenome editing has been slated to have promising results in numerous basic sciences to decipher functions of chromatin structure and associated modification in phenotypes.</p>
<p>In the fourth phase, the CRISPR/Cas system evolved into a new methodology called base editing, wherein RNA-guided endonucleases were employed to engineer all four possible transitions with increased precision (<xref ref-type="bibr" rid="B66">Komor et al., 2016</xref>). One of the major challenges that all of the aforesaid techniques still face is to simultaneously engineer the altered DNA at the intended target sites. These concerns were addressed with the introduction of prime editing, marking the fifth phase in the evolution of GE platforms. Prime editing is largely described as a &#x201c;search-and-replace&#x201d; technology that edits the intended genomic loci without generating DSBs (<xref ref-type="bibr" rid="B4">Anzalone et al., 2019</xref>). This platform efficiently addresses the concerns of frameshift mutations that arise with the introduction of indels, further reducing off-target mutations. In addition, prime editing can introduce all 12 possible nucleotide substitutions (including transversions and transitions) (<xref ref-type="bibr" rid="B4">Anzalone et al., 2019</xref>).</p>
<p>The availability of all new-age GE strategies has not stolen the thunder of the CRISPR/Cas platform owing to the ease of its use and relevance to editing genes in numerous crop plants. However, it is only a matter of time before rapidly changing GE methods will replace present-day CRISPR/Cas systems with more elegant and efficient platforms. With every refinement of the platform, we are getting only closer to generating precise introduced mutations/deletions with reduced off-target effects. In the present review, we evaluate the evolution of GE platforms, such as CRISPR/Cas, epigenome editing, base editing, and prime editing over the last decade to highlight the paradigm shift in our understanding of GE strategies and the relevance of these platforms in present-day agriculture.</p>
</sec>
<sec id="s2">
<title>2 Genome editing using zinc-finger nucleases and transcription activator-like effector nucleases</title>
<p>ZFNs and TALENs represent the first phase of the development of GE platforms. Essentially GE is achieved <italic>via</italic> the introduction of DSBs followed by a homologous repair pathway or the NHEJ-DNA repair pathway. In the first phase of developing GE platforms, SSNs such as ZFNs and TALENs were employed to introduce heritable genomic changes. ZFNs are chimeric enzymes that work as a dimer. Each monomer has 3&#x2013;5 zinc-finger repeats along with a <italic>FokI</italic> cleavage domain. Each of the zinc fingers is capable of recognizing 3&#xa0;bp of genomic DNA. Therefore, a ZFN dimer can effectively identify an 18&#x2013;30&#xa0;bp DNA with a gap of 5&#x2013;7&#xa0;bp (<xref ref-type="bibr" rid="B63">Kim et al., 2007</xref>). In plants, the first study involving ZFNs was reported in <italic>Arabidopsis</italic>, wherein heat shock was found to augment ZFN expression. At least 10% of the transgenics obtained displayed the mutations induced by ZFNs in future generations (<xref ref-type="bibr" rid="B99">Lloyd et al., 2005</xref>). In maize, ZFNs were employed to introduce a DSB at ipk1, and following this, a herbicide tolerance gene was inserted that resulted in transgenics showing tolerance to herbicide (<xref ref-type="bibr" rid="B138">Shukla et al., 2009</xref>). One of the major disadvantages of ZFNs is that the zinc fingers could overlap and are largely dependent on the sequence context around them and the intended DNA segment. Therefore, employing ZFNs becomes both labor- and cost-intensive as for every edit, the zinc-finger array is designed, and the sites available for the edits are limited (<xref ref-type="bibr" rid="B8">Boch and Bonas 2010</xref>). Although many studies have reported ZFNs to edit genes, its use as a tool of choice for GE now stands outdated. Another type of nucleases, TALENs, with DNA binding domains, was also employed to engineer genomic changes (<xref ref-type="bibr" rid="B8">Boch and Bonas 2010</xref>). Thirty-four tandem repeats are typically present in the DNA binding domain along with repeat-variable di-residue (RVD) comprised of two amino acids at positions 12 and 13, providing the TALENs with the ability to identify the intended target DNA sequence (<xref ref-type="bibr" rid="B21">Cong et al., 2012</xref>; <xref ref-type="bibr" rid="B145">Streubel et al., 2012</xref>). Like ZFNs, TALENs also introduce DSBs in the intended genomic DNA sequences, completely disrupting the gene and (or) introducing mutations. In comparison to ZFNs, TALENs can be designed for more target sites in the genomic DNA (<xref ref-type="bibr" rid="B8">Boch and Bonas 2010</xref>). In rice, TALENs were used to mutate the <italic>OsSWEET</italic> gene to develop transgenic resistance to blight (<xref ref-type="bibr" rid="B77">Li et al., 2012</xref>). Similarly, in wheat, transgenic with increased resistance to powdery mildew was developed by employing TALENs induced mutations (<xref ref-type="bibr" rid="B166">Wang et al., 2014</xref>). In cabbage, early flowering plants were obtained by employing TALENs (<xref ref-type="bibr" rid="B146">Sun et al., 2013</xref>). Like ZFNs, using TALENs is cost- and labor-intensive with limited success, and therefore, their use has now been largely suspended for introducing genomic changes.</p>
</sec>
<sec id="s3">
<title>3 Clustered regularly interspaced short palindromic repeats/Cas system-mediated genetic modification</title>
<p>The CRISPR/Cas systems represent the second phase of evolution in the development of GE platforms. CRISPR/Cas systems are sequence-specific and, therefore, mediate targeted DNA cleavage with increased efficiency. Three major steps are involved in CRISPR/Cas mechanism. The first step is adaptation, wherein a small sequence from the mobile genetic elements (MGEs) is harbored into the host CRISPR resulting in a novel spacer sequence. This adaptive event helps the host bacterial cell evade the attack from the same virus in the future (<xref ref-type="bibr" rid="B5">Barrangou et al., 2007</xref>). The selection of the target sequence to be incorporated into the CRISPR array is sequence-specific. In type I, II, and V CRISPR/Cas systems, a small sequence, termed the protospacer adjacent motif (PAM), is found adjacent to the protospacer that is to be incorporated into the CRISPR array. Therefore, PAM is cardinal to both acquiring the protospacer and bringing about the subsequent interference (<xref ref-type="bibr" rid="B23">Datsenko et al., 2012</xref>; <xref ref-type="bibr" rid="B177">Zetsche et al., 2015</xref>; <xref ref-type="bibr" rid="B28">Fonfara et al., 2016</xref>). Although the acquisition mechanism of spacers is not yet fully deciphered, in almost all CRISPR/Cas systems, Cas1 and Cas2 proteins have been found to maneuver the acquisition of the spacer into the CRISPR array (<xref ref-type="bibr" rid="B104">Makarova et al., 2015</xref>; <xref ref-type="bibr" rid="B136">Shmakov et al., 2015</xref>). Both these proteins are found to be necessary for the acquisition of the spacer (<xref ref-type="bibr" rid="B23">Datsenko et al., 2012</xref>). The two proteins form a hetero-hexameric protein complex (Cas1&#x2013;Cas2), which is central to both excision and incorporation of the protospacer DNA into the CRISPR array (<xref ref-type="bibr" rid="B115">Nu&#xf1;ez et al., 2014</xref>). Barring a few exceptions, invariably the spacers are chronologically added to the array (<xref ref-type="bibr" rid="B136">Shmakov et al., 2015</xref>). Cas1&#x2013;Cas2 protein complex is central to protospacer acquisition across most type 1 and type II CRISPR/Cas systems. Therefore, this mode of spacer acquisition stands most well deciphered so far. In the second step, the CRISPR array is transcribed and processed. In addition, the associated <italic>Cas</italic> genes are also transcribed into crRNAs. This step is subtype-specific, and therefore, subtype-specific enzymes are employed. However, broadly across all CRISPR/Cas systems, the CRISPR array is first transcribed into a precursor crRNA (pre-crRNA). Different Cas proteins and ribonucleases cleave and process this in various types of CRISPR/Cas systems to yield a mature crRNA. In the third step, following infection, the mature crRNAs mediate subtype-specific machinery driven mostly <italic>via</italic> Cas proteins to ensure effective cleavage of the MGE. The mechanism of different Cas proteins employed in various CRISPR/Cas systems has been well documented in many studies (<xref ref-type="bibr" rid="B95">Liu L et al., 2020</xref>; <xref ref-type="bibr" rid="B148">Talakayala et al., 2022</xref>; <xref ref-type="bibr" rid="B157">Wada et al., 2022</xref>).</p>
</sec>
<sec id="s4">
<title>4 Classification of the clustered regularly interspaced short palindromic repeats/Cas system</title>
<p>The classification of the CRISPR/Cas systems identified so far is primarily based on the presence of the effector Cas proteins that cleave the invading foreign nucleic acids. The primary classification divides these systems into two classes: Class 1 and Class 2. Class 1 CRISPR/Cas systems employ a multi-protein complex, and Class 2 CRISPR/Cas systems recruit a single effector protein. Further, classification of Class 1 and Class 2 CRISPR/Cas systems into subtypes (I through VI) is dependent on their mechanism of action. The effector module of the CRISPR/Cas system is divided into three stages: the adaptation stage, the expression and processing stage, and the interference stage. In class 1 CRISPR/Cas systems (with types I, III, and IV), type I and type III systems employ a multi-protein complex called the Cascade complex along with Cas3 nuclease-helicase and the Cmr complex for type I, type III-A, and type IIIB CRISPR/Cas systems, respectively (<xref ref-type="bibr" rid="B68">Koonin and Makarova, 2019</xref>; <xref ref-type="bibr" rid="B15">Chaudhuri et al., 2022</xref>). However, class 2 CRISPR/Cas systems (with types II, V, and VI) employ only one effector protein. In type II and type V CRISPR/Cas systems, the expression and processing of the crRNA are regulated by a single protein such as Cas9 and Cpf1, respectively (<xref ref-type="bibr" rid="B104">Makarova et al., 2015</xref>; <xref ref-type="bibr" rid="B3">Amitai and Sorek, 2016</xref>). Type VI systems have been recently discovered and are the only CRISPR/Cas systems to target RNA specifically (<xref ref-type="bibr" rid="B15">Chaudhuri et al., 2022</xref>). In Class 1 CRISPR Cas systems, type 1 and type III are more prevalent than type IV in diverse bacterial and archaeal populations. However, type II of the Class 2 CRISPR/Cas system is found across all bacterial species (<xref ref-type="bibr" rid="B68">Koonin and Makarova, 2019</xref>). Depending on their function, Cas proteins can be primarily classified into four categories; recombinases/nucleases that aid the acquisition of spacers, ribonucleases that regulate the processing of crRNAs, scanning complexes like the crRNP complex, and nucleases that mediate the cleavage of the intended target sequences (<xref ref-type="bibr" rid="B154">Van Der Oost et al., 2014</xref>).</p>
<p>Class 1 CRISPR systems, types I and III, bear structural similarities suggesting evolution <italic>via</italic> a common ancestor (<xref ref-type="bibr" rid="B15">Chaudhuri et al., 2022</xref>). In addition, they employ Cas9 endonuclease to process crRNA. Type I CRISPR/Cas systems are further divided into six subtypes, types I-A, I-B, I-C, I-D, I-E, and I-F, depending on the distinct PAMs that the subunits require to regulate recognition and acquisition. The type III systems are divided into four subtypes, type III-A, III-B, III-C, and III-D, based on variation in adaptation, recognition, and interference modules of the effector protein complex. <xref ref-type="bibr" rid="B15">Chaudhuri et al. (2022)</xref> discussed the further classification of type I and type III into subtypes at length. Class 2 CRISPR/Cas system is divided into three types, types II, V, and VI. Out of these, the type II system is the most dissected and well-understood system so far (<xref ref-type="bibr" rid="B68">Koonin and Makarova, 2019</xref>; <xref ref-type="bibr" rid="B15">Chaudhuri et al., 2022</xref>). This system employs the Cas9 endonuclease as the effector. Type V system uses a single effector protein, Cas12. However, Cas12 has six subtypes, types V-A, V-B, V-C, V-D, V-E, and V-U, that identify distinct PAM sequences (<xref ref-type="bibr" rid="B15">Chaudhuri et al., 2022</xref>). Owing to obvious advantages such as smaller size, no dependency on tracr for target recognition, and asymmetric cleavage sites, Cas12 has now been actively replacing the Cas9 system for GE in many animal and plant species. Type VI systems are characterized by the presence of higher eukaryotes and prokaryotes nucleotide-binding (HEPN) domains with RNase activity (<xref ref-type="bibr" rid="B68">Koonin and Makarova, 2019</xref>; <xref ref-type="bibr" rid="B15">Chaudhuri et al., 2022</xref>). Cas13a was the first protein identified for type VI CRISPR/Cas systems (<xref ref-type="bibr" rid="B15">Chaudhuri et al., 2022</xref>). The evolution of type VI-B, such as Cas13b, is thought to have occurred from transmembrane systems, making them unique from type VI systems into a new subtype type VI-B (<xref ref-type="bibr" rid="B15">Chaudhuri et al., 2022</xref>). Type VI systems only target RNAs, thus thought to have lower instances of off-targeting and, in turn, do not harm the host cell much. The extensive diversity of the CRISPR/Cas system, as evident by their classification, reflects the evolution of the CRISPR/Cas-based defense mechanism in both archaea and bacteria. In addition, this diversity of CRISPR/Cas systems presents researchers with varied tools of GE to introduce precise changes with efficacy. <xref ref-type="table" rid="T1">Table 1</xref> summarizes the classification of the CRISPR/Cas systems identified so far.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Classification of the identified CRSIPR-Cas systems.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Class</th>
<th align="left">Type</th>
<th align="left">Effector module</th>
<th align="left">Class</th>
<th align="left">Type</th>
<th align="left">Effector module</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Class I</td>
<td align="left">I-A</td>
<td align="left">Cas8a2, Csa5</td>
<td align="left">Class II</td>
<td align="left">V-B</td>
<td align="left">Cas12b</td>
</tr>
<tr>
<td align="left">Class I</td>
<td align="left">I-B</td>
<td align="left">Cas8b</td>
<td align="left">Class II</td>
<td align="left">V-C</td>
<td align="left">Cas12c</td>
</tr>
<tr>
<td align="left">Class I</td>
<td align="left">I-C</td>
<td align="left">Cas8c</td>
<td align="left">Class II</td>
<td align="left">V-D</td>
<td align="left">Cas12d</td>
</tr>
<tr>
<td align="left">Class I</td>
<td align="left">I-D</td>
<td align="left">Cas10d</td>
<td align="left">Class II</td>
<td align="left">V-E</td>
<td align="left">Cas12e</td>
</tr>
<tr>
<td align="left">Class I</td>
<td align="left">I-E</td>
<td align="left">Cse1, Cse2</td>
<td align="left">Class II</td>
<td align="left">V-F</td>
<td align="left">Cas14</td>
</tr>
<tr>
<td align="left">Class I</td>
<td align="left">I-F</td>
<td align="left">Csy1, Csy2, Csy3, Cas6f</td>
<td align="left">Class II</td>
<td align="left">V-G</td>
<td align="left">Cas12g</td>
</tr>
<tr>
<td align="left">Class II</td>
<td align="left">II-A</td>
<td align="left">Csn2</td>
<td align="left">Class II</td>
<td align="left">V-H</td>
<td align="left">Cas12h</td>
</tr>
<tr>
<td align="left">Class II</td>
<td align="left">II-B</td>
<td align="left">Cas9 (Csx12 subfamily)</td>
<td align="left">Class II</td>
<td align="left">V-I</td>
<td align="left">Cas12i</td>
</tr>
<tr>
<td align="left">Class II</td>
<td align="left">II-C</td>
<td align="left">N/A</td>
<td align="left">Class II</td>
<td align="left">V-J</td>
<td align="left">Cas12j</td>
</tr>
<tr>
<td align="left">Class I</td>
<td align="left">III-A</td>
<td align="left">Csm2 (small subunit)</td>
<td align="left">Class II</td>
<td align="left">V-K</td>
<td align="left">Cas12k</td>
</tr>
<tr>
<td align="left">Class I</td>
<td align="left">III-B</td>
<td align="left">Cmr5 (small subunit)</td>
<td align="left">Class II</td>
<td align="left">VI-A</td>
<td align="left">Cas13a</td>
</tr>
<tr>
<td align="left">Class I</td>
<td align="left">IV</td>
<td align="left">DinG (Csf4)</td>
<td align="left">Class II</td>
<td align="left">VI-B</td>
<td align="left">Cas13b, along with proteins, Csx27, and Csx28</td>
</tr>
<tr>
<td align="left">Class II</td>
<td align="left">V-A</td>
<td align="left">Cas12a (previously known as Cpf1)</td>
<td align="left">Class II</td>
<td align="left">VI-C</td>
<td align="left">Cas13c</td>
</tr>
<tr>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">Class II</td>
<td align="left">VI-D</td>
<td align="left">Cas13d</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s5">
<title>5 Repurposing native clustered regularly interspaced short palindromic repeats/Cas9 for the development of genome-editing platforms</title>
<p>Class II CRISPR/Cas systems were found to be most suitable for development into a tool for genetic manipulation owing to the simplicity of their mechanism of action (<xref ref-type="bibr" rid="B104">Makarova et al., 2015</xref>). Type II CRISPR/Cas systems employ Cas9 protein that relies only on an RNA complex of crRNA:tracrRNA that is easy to engineer into a single guide DNA (gDNA) molecule (<xref ref-type="bibr" rid="B55">Jinek et al., 2012</xref>). These systems employ only two components: Cas9, a DNA endonuclease, and a customizable gRNA. A single gRNA is sufficient to direct the cleavage of the intended sequences. The gRNA molecules are customized to contain a sequence that Cas9 recognizes and a target sequence that guides the complex to the intended locus (<xref ref-type="bibr" rid="B192">Anders et al., 2014</xref>). To identify the intended target site, the Cas9-sgRNA complex scans the targeted DNA for a PAM site, following this 12 bases (seed region) of gRNAs proximal to PAM pair with the intended target sequence (<xref ref-type="bibr" rid="B133">Semenova et al., 2011</xref>). Mismatches in the seed region have been found to affect the activity of Cas9 adversely. However, mismatches in the 5&#x2019; PAM distal region are well-tolerated without affecting Cas9 nuclease activity (<xref ref-type="bibr" rid="B96">Liu et al., 2016</xref>). Catalytic domains of Cas9, HNH, and RuvC invariably result in a DSB in the DNA. Following this, DSB repair is initiated that is mediated either by homology direct repair (HDR) or the NHEJ pathway. The latter does not require a template for DNA repair and hence is error-prone. NHEJ is the active DNA repair mechanism in nature wherein Cas9-induced DSBs are repaired (<xref ref-type="bibr" rid="B112">Moore and Haber 1996</xref>). NHEJ can, therefore, lead to small insertions or deletions that could yield a host of mutations (<xref ref-type="bibr" rid="B12">Calvache et al., 2022</xref>; <xref ref-type="bibr" rid="B157">Wada et al., 2022</xref>). Such mutations are beneficial while knocking out a targeted gene using CRISPR/Cas9 systems. However, being random and unpredictable makes this mode of DNA repair unsuitable for precise editing of intended genes. To this effect, HDR is a more obvious choice of DSB repair mechanism for incorporation of desired sequences following cleavage by Cas9. In plants, GE HDR relies on a DNA template along with the gDNA and Cas9 for a successful DSB repair (<xref ref-type="bibr" rid="B12">Calvache et al., 2022</xref>; <xref ref-type="bibr" rid="B157">Wada et al., 2022</xref>). In plants, through genetic engineering, many outstanding repairs have been achieved <italic>via</italic> HDR, leading to gene replacement, DNA correction, and targeted knockouts. <xref ref-type="fig" rid="F1">Figure 1</xref> illustrates a diagrammatic representation of the adaptation to the CRISPR/Cas9 system in plants for gene editing.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Schematic representation of steps involved in a CRISPR/Cas mediated gene editing in plants. <bold>(A)</bold>. Target gene selection and designing of sgRNA; <bold>(B)</bold>. Engineering the sgRNA in an appropriate binary vector. <bold>(C)</bold>. CRISPR/Cas mediated cleavage via single/multiplex gene editing. <bold>(D)</bold>. Transformation in plants; <bold>(E)</bold>. Screening and evaluation of the crops edited; <bold>(F)</bold>. Evaluation of the plants for selecting transgene-free plant with edited gene(s) regulating the trait of interest (adapted from Jaggannath et al. 2018).</p>
</caption>
<graphic xlink:href="fgene-13-876987-g001.tif"/>
</fig>
</sec>
<sec id="s6">
<title>6 Applications of clustered regularly interspaced short palindromic repeats/Cas9 system as a powerful tool in crop improvement</title>
<p>Present-day agriculture faces serious threats from both abiotic and biotic stresses. Rapidly changing climate and exponentially growing world population increase the pressure of ensuring food security for both present and future generations. To mitigate agricultural losses and to aid crops in realizing their full potential, the only sustainable solution is to develop climate-resilient crops. Since its discovery in 2012 as a potential tool for genetic engineering, CRISPR/Cas9 system and its derivatives have rapidly replaced genome engineering methods in crop improvement programs across the globe. In model crops such as maize, a CRISPR/Cas9 mediated knocking and replacement in the <italic>liguleless-1</italic> (<italic>LIG1</italic>) was reported (<xref ref-type="bibr" rid="B147">Svitashev et al., 2016</xref>). Similarly, in wheat, CRISPR/Cas9 GE system was employed to introduce targeted mutations in two wheat genes, <italic>TaLox2</italic> and <italic>TaUbiL1</italic>. This study also validated the efficiency of using the CRISPR/Cas9 system in combination with microspore technology in plants for both trait improvement and discovery (<xref ref-type="bibr" rid="B7">Bhowmik et al., 2018</xref>). In tomato, complete expression of the susceptibility gene SlyPMR4 was knocked down to generate tomato plants with resistance against powdery mildew (<xref ref-type="bibr" rid="B107">Mart&#xed;nez et al., 2020</xref>). CRISPR/Cas9-based GE systems are now employed to improve multigenic traits such as biotic and abiotic stresses in many crops. <xref ref-type="table" rid="T2">Table 2</xref> summarizes studies wherein CRISPR/Cas has been used successfully for trait manipulation in crop plants. <xref ref-type="fig" rid="F2">Figure 2</xref> depicts schematic representation of the domains of crop sciences wherein CRISPR/Cas platforms have largely contributed.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>CRISPR/Cas9-mediated improvement in major crop plants.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Plant species</th>
<th align="left">Target gene</th>
<th align="left">Trait of interest</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="9" align="left">Rice (<italic>Oryza sativa</italic>)</td>
<td align="left">
<italic>OsAAP6</italic>, <italic>OsAAP10</italic>
</td>
<td align="left">Reduced GPC</td>
<td align="left">
<xref ref-type="bibr" rid="B161">Wang M et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>OsBADH2</italic>
</td>
<td align="left">Fragrant rice</td>
<td align="left">
<xref ref-type="bibr" rid="B69">Kumar et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>eIF4G</italic>
</td>
<td align="left">Resistance to tungro spherical virus</td>
<td align="left">
<xref ref-type="bibr" rid="B103">Macovei et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>OsGAD3</italic>
</td>
<td align="left">Increased GABA content</td>
<td align="left">
<xref ref-type="bibr" rid="B1">Akama et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>CrtI</italic>, <italic>PSY</italic>
</td>
<td align="left">Increased &#x3b2;-carotene content</td>
<td align="left">
<xref ref-type="bibr" rid="B26">Dong et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>OsGS3</italic>, <italic>OsGW2</italic>, and <italic>OsGn1a</italic>
</td>
<td align="left">Increased grain length and width</td>
<td align="left">
<xref ref-type="bibr" rid="B190">Zhou et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>OsDST</italic>
</td>
<td align="left">Increased drought and salt tolerance</td>
<td align="left">
<xref ref-type="bibr" rid="B69">Kumar et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>OsPIN5b</italic>, <italic>GS3</italic>, and <italic>OsMYB30</italic>
</td>
<td align="left">Increased yield and cold tolerance</td>
<td align="left">
<xref ref-type="bibr" rid="B176">Zeng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>OsPLD&#x3b1;1</italic>
</td>
<td align="left">Low phytic acid content</td>
<td align="left">Khan et al., 2019</td>
</tr>
<tr>
<td rowspan="7" align="left">Wheat (<italic>Triticum aestivum</italic>)</td>
<td align="left">
<italic>TaGW7</italic>
</td>
<td align="left">Grain shape</td>
<td align="left">
<xref ref-type="bibr" rid="B158">Wang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>EDR1</italic>
</td>
<td align="left">Resistant to powdery mildew</td>
<td align="left">
<xref ref-type="bibr" rid="B183">Zhang et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>TaGW2</italic>
</td>
<td align="left">Grain size</td>
<td align="left">
<xref ref-type="bibr" rid="B165">Wang X et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>&#x3b1;-Gliadin genes</italic>
</td>
<td align="left">Low gluten content</td>
<td align="left">
<xref ref-type="bibr" rid="B209">Sanchez et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>TaBAK1-2</italic>, <italic>a-eIF4E</italic>, <italic>Ta-eIF(iso)4E</italic>
</td>
<td align="left">Resistance to streak mosaic virus and yellow mosaic virus</td>
<td align="left">Hahn et al., 2021</td>
</tr>
<tr>
<td align="left">
<italic>TaSBEIIa</italic>
</td>
<td align="left">Grain quality</td>
<td align="left">
<xref ref-type="bibr" rid="B74">Li G et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>TaNP1</italic>
</td>
<td align="left">Male sterility</td>
<td align="left">
<xref ref-type="bibr" rid="B76">Li et al. (2020b)</xref>
</td>
</tr>
<tr>
<td rowspan="5" align="left">Maize (<italic>Zea mays</italic>)</td>
<td align="left">
<italic>SH2</italic>, <italic>GBSS</italic>
</td>
<td align="left">Super sweet and waxy corn</td>
<td align="left">
<xref ref-type="bibr" rid="B25">Dong et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Wx1</italic>
</td>
<td align="left">Waxy corn</td>
<td align="left">
<xref ref-type="bibr" rid="B34">Gao et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>ZmBADH2a</italic>, <italic>ZmBADH2b</italic>
</td>
<td align="left">Aromatic maize</td>
<td align="left">
<xref ref-type="bibr" rid="B167">Wang Z et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>CLE genes</italic>
</td>
<td align="left">Enhanced grain yield</td>
<td align="left">
<xref ref-type="bibr" rid="B94">Liu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>GA20ox3</italic>
</td>
<td align="left">Semi-dwarf male plants</td>
<td align="left">
<xref ref-type="bibr" rid="B179">Zhang C et al. (2020)</xref>
</td>
</tr>
<tr>
<td rowspan="14" align="left">Tomato (<italic>Solanum lycopersicum</italic>)</td>
<td align="left">
<italic>ANT1</italic>
</td>
<td align="left">Fruit color (purple)</td>
<td align="left">
<xref ref-type="bibr" rid="B13">&#x10c;erm&#xe1;k et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>CLV3</italic>
</td>
<td align="left">Fruit size</td>
<td align="left">Zs&#xf6;g&#xf6;n et al., 2020</td>
</tr>
<tr>
<td align="left">
<italic>Psy1</italic>, <italic>CrtR-b2</italic>
</td>
<td align="left">Fruit color (yellow)</td>
<td align="left">
<xref ref-type="bibr" rid="B22">D&#x2019;Ambrosio et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>OVATE</italic>, <italic>Fas</italic>, <italic>Fw2.2</italic>
</td>
<td align="left">Fruit size, oval fruit shape</td>
<td align="left">
<xref ref-type="bibr" rid="B215">Zsogon et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>ENO</italic>
</td>
<td align="left">Fruit size</td>
<td align="left">
<xref ref-type="bibr" rid="B212">Yuste-Lisbona et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>CRTISO</italic>
</td>
<td align="left">Fruit color (tangerine)</td>
<td align="left">
<xref ref-type="bibr" rid="B6">Ben Shlush et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>slyPDS</italic>
</td>
<td align="left">Increased lycopene content</td>
<td align="left">
<xref ref-type="bibr" rid="B81">Li J et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>SlNPR1</italic>
</td>
<td align="left">Increased drought tolerance</td>
<td align="left">
<xref ref-type="bibr" rid="B86">Li et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>SlCBF1</italic>
</td>
<td align="left">Increased cold tolerance</td>
<td align="left">
<xref ref-type="bibr" rid="B87">Li R et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>SlMAPK3</italic>
</td>
<td align="left">Increased drought tolerance</td>
<td align="left">
<xref ref-type="bibr" rid="B160">Wang et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>miR482b</italic> and <italic>miR482c</italic>
</td>
<td align="left">Resistance to <italic>Phytophthora infestans</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B43">Hong et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>SlyPMR4</italic>
</td>
<td align="left">Resistance against powdery mildew</td>
<td align="left">
<xref ref-type="bibr" rid="B107">Mart&#xed;nez et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>PL</italic>, <italic>PG2a</italic>, <italic>TBG4</italic>
</td>
<td align="left">Longer shelf life</td>
<td align="left">
<xref ref-type="bibr" rid="B158">Wang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>SlLBD40</italic>
</td>
<td align="left">Enhanced drought tolerance</td>
<td align="left">
<xref ref-type="bibr" rid="B95">Liu et al. (2020)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">Rapeseed (<italic>Brassica napus</italic>)</td>
<td align="left">
<italic>BnaFAD2</italic>
</td>
<td align="left">Improved fatty acid profile</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Huang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>BnaMAX1</italic>
</td>
<td align="left">Improved plant architecture and yield</td>
<td align="left">
<xref ref-type="bibr" rid="B176">Zeng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>BnaA03.BP</italic>
</td>
<td align="left">Compact plant architecture</td>
<td align="left">
<xref ref-type="bibr" rid="B27">Fan et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Schematic representations of the domains of crops sciences wherein CRISPR/Cas platforms have largely contributed.</p>
</caption>
<graphic xlink:href="fgene-13-876987-g002.tif"/>
</fig>
<p>One of the most important applications of CRISPR/Cas9 platforms across the globe has been to engineer disease resistance in crop plants. Plant pathogens such as bacteria, viruses, nematodes, insects, and fungi are the most potent biotic stress factors that impact the yield potential of crops across the globe. Continuously evolving new strains of lethal pests make the battle against the pathogens even more complicated and daunting (<xref ref-type="bibr" rid="B128">Razzaq et al., 2019</xref>). Therefore, to protect and aid crops, methodologies routed in concepts of genome engineering have been successfully developed (<xref ref-type="bibr" rid="B51">Jaganathan et al., 2018</xref>). <xref ref-type="bibr" rid="B118">Peng et al. (2017)</xref> reported the development of varieties of <italic>Citrus sinensis</italic> (Wanjincheng orange) with increased resistance to <italic>Xanthomonas citri</italic>, which is responsible for the citrus canker disease in oranges. In this study, the expression of the gene, <italic>CsLOB1</italic>, which is responsible for the development of the disease, was disrupted using the CRISPR/Cas9 system. Two alleles (<italic>cslob1g</italic> and <italic>cslob1</italic>) exist for the gene CsLOB1. The promoter region of both these alleles inhibits an effector binding site (EBE) that is recognized by the main effector PthA4 of Xcc to drive the expression of <italic>cslob1</italic> and results in the development of the disease. Five independent constructs pCas9/CsLOB1sgRNA were employed to modify the effector binding site EBE in the promoter region of <italic>CsLOB1</italic> alleles. Homologous mutants wherein the EBE was completely disrupted were obtained, displaying no disease development following infection with <italic>Xanthomonas citri</italic> (<xref ref-type="bibr" rid="B118">Peng et al., 2017</xref>). In rice, an ethylene-responsive gene OsERF922 was knocked out using the CRISPR/Cas9 tool, which led to a marked reduction in the size and number of the blast lesions. This work led to the development of a rice cultivar with increased resistance against <italic>Magnaporthe oryzae</italic> (<xref ref-type="bibr" rid="B159">Wang et al., 2016</xref>). In another study, blight-resistant plants were produced using CRISPR/Cas9 system-mediated targeted mutagenesis of the <italic>SWEET13</italic> gene (<xref ref-type="bibr" rid="B189">Zhou et al., 2015</xref>).</p>
<p>Management of diseases in crop plants is dominated by the frequent use of insecticides to curb yield losses. The development of crops resistant to viruses is, therefore, an efficient strategy to yield a stable yet economically viable alternative (<xref ref-type="bibr" rid="B163">Wang W et al., 2021</xref>). To this effect, inducing deletions and introducing point mutations in the genes using the CRISPR/Cas9 system is one of the most organic adaptations of the platform. The eukaryotic translation initiation factor genes such as <italic>eIF4E</italic> and <italic>eIF4G</italic> are an absolute requirement for the translation of RNA viruses (<xref ref-type="bibr" rid="B137">Shopan et al., 2020</xref>). Therefore, CRISPR/Cas9 technology has been employed in numerous plant species to engineer induced mutations in these genes. In <italic>Arabidopsis</italic>, point mutations in <italic>eIF(iso)4E</italic> gene were found to impart complete resistance against the turnip mosaic virus (<xref ref-type="bibr" rid="B121">Pyott et al., 2016</xref>). Likewise, in cucumber, eukaryotic translation initiation factor <italic>eIF(iso)4E</italic> was engineered using the CRISPR/Cas9 system to generate heritable homozygous point mutations that conferred resistance to the mutants against zucchini yellow mosaic virus, papaya ringspot mosaic virus-W, and vein yellowing virus (<xref ref-type="bibr" rid="B14">Chandrasekaran et al., 2016</xref>). In <italic>Nicotiana benthamiana</italic>, sgRNA/Cas9-mediated broad-spectrum immunity was achieved against viruses such as beet curly top virus, <italic>Tomato leaf curl Sardinia virus</italic>, <italic>Tomato yellow leaf curl virus</italic>, and <italic>Cotton leaf curl Kokhran virus</italic> (<xref ref-type="bibr" rid="B2">Ali et al., 2016</xref>). In rice, the CRISPR/Cas9 system was used to generate <italic>eIF4G</italic> alleles that conferred resistance against the R<italic>ice tungro spherical virus</italic> (<xref ref-type="bibr" rid="B103">Macovei et al., 2018</xref>). Recently, <xref ref-type="bibr" rid="B163">Wang et al. (2021)</xref> employed the CRISPR/Cas9 system to generate novel <italic>eIF4G</italic> alleles to yield transgenic plants displaying complete resistance to rice black-streaked dwarf virus. Engineering these mutations <italic>via</italic> the traditional backcrossing would have taken years, but using the CRISPR/Cas9 system expedited the process, and the goal was achieved in just a single generation.</p>
<p>The CRISPR/Cas9 system has also been used extensively over the past decade in generating climate-resistant cultivars in various crop species such as cotton, maize, rice, wheat, potato, soybean, and tomato (<xref ref-type="bibr" rid="B61">Khan et al., 2021</xref>; <xref ref-type="bibr" rid="B163">Wang et al., 2021</xref>; <xref ref-type="bibr" rid="B125">Rahman et al., 2022</xref>). In wheat, two regulatory genes (i.e., <italic>TaDREB3</italic> and <italic>TaDREB2</italic>) were mutated using the CRISPR/Cas9 system, which resulted in increased drought tolerance in the mutated plants in comparison to the wild cultivars (<xref ref-type="bibr" rid="B62">Kim et al., 2017</xref>). In maize, the <italic>ZmARGOS8</italic> gene that negatively regulates ethylene response was studied using the CRISPR/Cas9 system. The promoter of this gene was knocked out and replaced with maize GOS2 promoter in 5&#x2032;-UTR of the target gene. The mutant plants were found to overexpress <italic>ARGOS8</italic>, which led to a stupendous increase in the yield in comparison to the wild type under drought conditions during the flowering stage without any yield penalty under irrigated environment (<xref ref-type="bibr" rid="B135">Shi et al., 2017</xref>). In rice, the CRISPR/Cas9 system was used to knock out gene <italic>OsRR2</italic>. The homozygous mutants obtained displayed increased tolerance to salinity stress (<xref ref-type="bibr" rid="B181">Zhang et al., 2019</xref>). In another study, three genes, <italic>OsPIN5b</italic>, <italic>GS3</italic>, and <italic>OsMYB30</italic>, that determine panicle length, grain size, and cold tolerance, respectively, were simultaneously edited using the CRISPR/Cas9 system (<xref ref-type="bibr" rid="B176">Zeng et al., 2020</xref>). T2 generations of the homozygous mutants of these genes displayed increased panicle length, enlarged grain size, and increased cold tolerance, respectively. The CRISPR/Cas9 tool has also been employed for the functional characterization of genes that regulate stress responses in plants. In <italic>Arabidopsis</italic>, three genes (<italic>CBF1</italic>, <italic>CBF2</italic>, and <italic>CBF3</italic>) have been identified to confer cold acclimatization and tolerance. However, the underlying mechanism remained undeciphered owing to the absence of any loss-of-function lines for these genes. <xref ref-type="bibr" rid="B185">Zhao et al. (2016)</xref> generated mutants of the cbf gene family, <italic>cbf1</italic>, <italic>cbf2</italic>, and <italic>cbf3</italic>. They generated cbf single, double, and triple mutants using the CRISPR/Cas9 platform. Interestingly, for the three genes, <italic>cbf</italic> triple mutants displayed compromised seedling development and reduced salt tolerance. However, both triple and double (<italic>cbf2cbf3</italic>) mutants displayed increased sensitivity to feeding post-cold acclimatization in comparison to the wild-type control. The <italic>cb1/cb3</italic> double mutants displayed increased resistance, indicating that accumulation of <italic>CBF2</italic> is more important than <italic>CBF1</italic> and <italic>CBF3</italic> in regulating cold acclimation-dependent freezing tolerance. The functional role of many other genes with a potential role in stress tolerance was also investigated in the model system <italic>Arabidopsis</italic>. The expression of <italic>UGT79-B2</italic> and <italic>B3</italic> genes was induced by abiotic stresses such as salinity, drought, and cold. Overexpression of these genes was found to increase the resistance of the transgenics. However, gene <italic>ugt79b2/b3</italic> double mutants generated using the CRISPR/Cas9 system were found to be susceptible to abiotic stresses compared to the wild-type control. The overexpression mutants accumulated anthocyanins, but the <italic>ugt79b2/b3</italic> double mutants that displayed lower levels of anthocyanins were also found to be more susceptible to stresses than the wild-type control plants. These findings also suggested that an array of anthocyanins impart resistance against abiotic stresses (<xref ref-type="bibr" rid="B83">Li et al., 2017</xref>). In rice, knockout mutants for the <italic>OsSAPK2</italic> gene were developed for functional characterization of the gene. The mutants showed insensitivity to abscisic acid and increased sensitivity to drought and reactive oxygen species (ROS) during the germination/seedling stage compared to the wild-type control plants. These results suggested the active involvement of the <italic>OsSAPK2</italic> gene in mediating drought tolerance through increased stomatal closure (<xref ref-type="bibr" rid="B100">Lou et al., 2017</xref>). In another study, <italic>OsAnn3</italic>, a rice annexin gene, was knocked out in rice using the CRISPR/Cas9 system. The survival ratio of T1 mutant lines was found to be adversely affected, indicating that the expression of <italic>OsAnn3</italic> was central in imparting cold tolerance in rice (<xref ref-type="bibr" rid="B134">Shen et al., 2017</xref>).</p>
<p>Drought stress in plants is governed by mitogen-activated protein kinases (MAPKs). In tomato, functional characterization of MAPKs was achieved by knocking down <italic>SlMAPK3</italic> using the CRISPR/Cas9 system (<xref ref-type="bibr" rid="B160">Wang et al., 2017</xref>). The resulting <italic>slmapk3</italic> mutants displayed severe wilting symptoms along with lower antioxidant enzymes, increased hydrogen peroxide, and increased membrane damage in comparison to the wild-type control. In another study, a multiplex CRISPR/Cas9 system was used simultaneously to edit five tomato &#x3b3;-aminobutyric acid (GABA) shunt genes (<italic>CAT9</italic>, <italic>SSADH</italic>, <italic>GABA-TP1</italic>, <italic>TP2</italic>, and <italic>TP3</italic>). These genes are repressors of GABA metabolism. Hence, targeted mutagenesis of these genes led to a 19-fold increase in the accumulation of GABA in fruits and leaves (<xref ref-type="bibr" rid="B85">Li R et al., 2017</xref>).</p>
<p>The multiplex CRISPR/Cas9 system has proven to be beneficial in improving yield substantially in various cereal crops. In rice, four genes [i.e., Grain Size 3 (<italic>GS3</italic>), Ideal Plant Architecture 1 (<italic>IPA1</italic>), Grain Number 1a (<italic>Gn1a</italic>), and DENSE AND ERECT PANICLE (<italic>DEP1</italic>)] were edited using the multiplex CRISPR/Cas9 technique. The mutant plants displayed marked improvement in all the aforesaid traits and resulted in better and improved yields concerning tiller number and grain yield (<xref ref-type="bibr" rid="B82">Li et al., 2016</xref>). Similarly, multiplex editing using the CRISPR/Cas9 system of four genes, that is, <italic>GS3</italic>, Grain Widths 2, 5, and 6 (<italic>GW2</italic>, <italic>GW5</italic>, and <italic>GW6</italic>), which are negative regulators of grain weight, was investigated in rice. A remarkable improvement was observed in grain weight and size (<xref ref-type="bibr" rid="B173">Xu et al., 2016</xref>). The CRISPR/Cas9 system was also employed in rice to knockout three heading date genes (i.e., <italic>Hd2</italic>, <italic>Hd4</italic>, and <italic>Hd5</italic>) (<xref ref-type="bibr" rid="B83">Li et al., 2017</xref>). The mutants displayed early heading and higher yield under drought stress conditions. Furthermore, a CRISPR/Cas9 mediated disruption of the <italic>OsSWEET11</italic> gene, known for grain filling and sucrose transportation in rice, led to reduced sucrose concentration and grain weight, which suggested that overexpression of these genes would be beneficial in obtaining a better grain quality (<xref ref-type="bibr" rid="B102">Ma et al., 2017</xref>). In wheat, <italic>GASR7</italic> was knocked out using the CRISPR/Cas9 tool, and the resulting mutants showed increased kernel weight (<xref ref-type="bibr" rid="B184">Zhang et al., 2016</xref>). In tomato, the use of CRISPR/Cas9 methods has also delivered seedless tomatoes (<xref ref-type="bibr" rid="B152">Ueta et al., 2017</xref>). In this study, a novel sgRNA/Cas9 was employed, resulting in additional somatic mutation in <italic>SlIAA9</italic>, a key parthenocarpy gene. The mutation rate was 100%, and there were no off-target mutations. The mutants hence obtained displayed parthenocarpic fruit along with an altered leaf shape.</p>
</sec>
<sec id="s7">
<title>7 Evolution of clustered regularly interspaced short palindromic repeats/Cas9 platform for precise gene manipulation</title>
<p>CRISPR/Cas9 systems have evolved over the years, and many other approaches have also been routed in this technology. As discussed earlier, CRISPR/Cas9-mediated gene editing necessarily introduces DSBs that are subsequently repaired by either NHEJ or HDR mechanisms (<xref ref-type="bibr" rid="B58">Kantor et al., 2020</xref>). This results in two major challenges in using CRISPR/Cas9 mechanisms. Firstly, although HDR promises insertion of only sequence-specific DNA, this pathway is synonymous with increased instances of indels and limited efficiency (<xref ref-type="bibr" rid="B140">Song et al., 2017</xref>). Secondly, reliance on the HDR mechanism of gene repair restricts gene editing to only dividing cells, adversely affecting the efficiency of this platform in manipulating the disease resistance in plants (<xref ref-type="bibr" rid="B9">Bollen et al., 2018</xref>). Many newer technologies that are primarily rooted in the CRISPR/Cas mechanism overcome some of these limitations and are more precise in achieving genome restructuring in plants. Some of these technologies are detailed in the following sections.</p>
<sec id="s7-1">
<title>7.1 Multiplex genome editing</title>
<p>In plants, it is well documented that cellular processes are orchestrated <italic>via</italic> the interplay of several redundant genes. Therefore, editing a single gene from a gene family has not been found to confer the desired phenotype as the redundant genes from the same gene family compensate for the phenotype. In polyploid crop species, this presents an additional layer of complication due to multiple gene dosages or homolog effects. Hence, a more efficient protocol for gene editing is required to aid multiplex gene editing. A single vector system has been used to design many sgRNA cassettes with single or multiple promoters in multiplex gene editing mediated <italic>via</italic> the CRISPR/Cas9 system (<xref ref-type="bibr" rid="B93">Liu et al., 2017</xref>). In <italic>Arabidopsis thaliana</italic>, two sgRNAs were successfully employed to disrupt two homologs of <italic>CHLI</italic> (magnesium-chelatase subunit I) to obtain an albino phenotype as both homologs have a function in the photosynthetic mechanism (<xref ref-type="bibr" rid="B106">Mao et al., 2013</xref>). In another study in <italic>A. thaliana</italic>, multiplex gene editing was successfully employed to obtain quadruple mutants displaying dwarf phenotype by deploying three gRNAs (<xref ref-type="bibr" rid="B160">Wang et al., 2017</xref>).</p>
<p>Further, <xref ref-type="bibr" rid="B13">&#x10c;erm&#xe1;k et al.</xref>
<xref ref-type="bibr" rid="B13">(2015</xref>) developed a tool kit wherein Csy-type (CRISPR system <italic>yersinia</italic>) ribonuclease 4 (Csy4) was employed along with tRNA-processing enzymes to simultaneously express multiple gRNAs. Using this method, they expressed 12 gRNAs from a single transcript to target deletions in six genes successfully. These Csy4 and tRNA expression systems have been found almost twice as effective in introducing mutations. The use of this platform has been validated in tobacco (<italic>Nicotiana tabacum</italic>), tomato (<italic>Solanum lycopersicum</italic>), wheat (<italic>Triticum aestivum</italic>), barley (<italic>Hordeum vulgare</italic>), and <italic>Medicago truncatula</italic> (<xref ref-type="bibr" rid="B13">&#x10c;erm&#xe1;k et al., 2015</xref>).</p>
<p>
<xref ref-type="bibr" rid="B170">Xie et al. (2015)</xref> reported an endogenous tRNA-processing mediating gene editing by CRISPR/Cas9 in rice. Soon after, <xref ref-type="bibr" rid="B150">Tang et al. (2016)</xref> reportedly employed a single POL II promoter to drive the expression of a hammerhead ribozyme and multiple gRNAs. The ribozyme cleaved distinct sgRNAs, and post-transcription Cas9 processed functional Cas9 and gRNAs. In maize, the CRISPR/Cas9-based gene editing was successfully used to mutate the homologs that determine genic male sterility (<xref ref-type="bibr" rid="B98">Liu et al., 2022</xref>). Triple homozygous mutants were obtained that displayed complete male sterility. Over the course of CRISPR/Cas evolution, multiplex gene editing has emerged as an efficient tool to develop &#x201c;multiple genes-knock-out-cultivars.&#x201d; Concomitantly, this methodology has enhanced our understanding of gene functions of desired traits that are governed by multiple genes, gene families, or even pleiotropic genes. The technology has also opened vistas for investigating epistatic interactions/associations among genes or gene complexes, especially for complex traits, whose genetic architecture is largely influenced by epistasis.</p>
</sec>
<sec id="s7-2">
<title>7.2 New Cas variants to broaden the clustered regularly interspaced short palindromic repeats toolbox</title>
<p>Since the discovery of CRISPR/Cas9 mediated gene editing, numerous modifications have been incorporated into this technology to address the issue of incompatible off-target sequences due to gRNA mismatches. There have been many attempts to increase the efficiency of Cas9 enzymes and, at the same time, curb any off-target silencing with the use of enzymes such as dead cas9 (dcas9), SpCas9 Nickase (SpCas9n), and FokICas9 (fCas9) (<xref ref-type="bibr" rid="B20">Cong et al., 2013</xref>; <xref ref-type="bibr" rid="B40">Guilinger et al., 2014</xref>). Other studies have reported the extraction of Cas9 proteins with increased sequence specificity owing to their novel PAM sequences. Nmecas9 was extracted from <italic>Neisseria meningitidis</italic> specific for PAM sequence 5&#x2032;-NNNNGATT (<xref ref-type="bibr" rid="B72">Lee et al., 2016</xref>). SpCas9 is most commonly used for gene editing with a PAM sequence 5&#x2032;-NNGRRT (<xref ref-type="bibr" rid="B127">Ran et al., 2015</xref>). Modifications have been made for SpCas9 to identify shorter PAM sequences that not only increase the efficiency of the enzyme but also make the delivery of the system easier (<xref ref-type="bibr" rid="B45">Hu et al., 2018</xref>). In plants, CRISPR/Cas9 mediated gene editing has been employed in many plant species such as <italic>A. thaliana</italic>, rice, citrus, and tobacco (<xref ref-type="bibr" rid="B52">Jiang and Doudna, 2017</xref>). Furthermore, St1Cas9 and St3Cas9 extracted from <italic>Streptococcus thermophilus</italic> have also been employed in CRISPR-mediated gene editing (<xref ref-type="bibr" rid="B52">Jiang and Doudna, 2017</xref>). These Cas9 enzymes use different types of tracrRNA and crRNA for identifying PAM sequences (<xref ref-type="bibr" rid="B144">Steinert et al., 2015</xref>). Out of all these CRISPR systems employed so far, CRISPR/Cpf1, commonly known as Cas13, is the most popular (<xref ref-type="bibr" rid="B177">Zetsche et al., 2015</xref>). Unlike Cas9, Cas13 requires only a sgRNA with 4&#x2013;5 nucleotide overhangs. In both animals and plants, the Cas13-mediated gene editing has been found to target the desired genes with none or very few off-targets (<xref ref-type="bibr" rid="B195">Endo et al., 2016</xref>). Due to their successes, type V CRISPR/Cpf1 has been popular in both plants and animals to engineer gene editing (<xref ref-type="bibr" rid="B183">Zhang et al., 2017</xref>). <italic>Francisella novicida</italic>-derived FnCpf1 was used to achieve targeted mutagenesis in both tobacco and rice. Similarly, Lachnospiraceae-derived LbCpf1 has also been used to achieve targeted mutagenesis (<xref ref-type="bibr" rid="B175">Yin et al., 2017</xref>).</p>
</sec>
<sec id="s7-3">
<title>7.3 Epigenome editing</title>
<p>Epigenome editing represents the third phase of plant GE, wherein changes are introduced to engineer the chromatin <italic>via</italic> modification of epigenome at specific sites. It involves targeted, locus-specific, reversible, and heritable alterations of the chromatin structure while bringing in no changes in the nucleotide sequences in the genomes by using epi-effectors. Epi-effectors are the epigenome engineering tools that represent a programmable DNA binding/DNA recognition domain in the genome. Additionally, the catalytic domains of chromatin-modifying enzymes (DNA methyltransferases and histone acetylases) represent components of an Epi-effector. Different epigenome editing tools are available for creating, erasing, and reading various epigenetic codes in plants (Jeltsch and Rots, 2018; <xref ref-type="bibr" rid="B109">Miglani and Singh, 2020</xref>; <xref ref-type="bibr" rid="B108">Miglani et al., 2020</xref>).</p>
<p>Currently, epigenome editing has been performed through three molecular platforms: zinc-finger proteins (ZFPs), transcription activator-like effectors (TALEs), and CRISPR and dead CRISPR/Cas proteins. These act as DNA-binding domains (DBDs), and after interaction with epigenetic domains, they modify the epigenetic marks at targeted sites in the genome to bring about a restructuring of chromatin architecture and gene expression. The principle of epigenomic editing rests on the formation of fusion proteins between a designed DBD (ZFPs/TALEs/nuclease null or dead Cas9) that targets an attached enzymatic domain (chromatin modifiers; DNA methyltransferases (DNMTs) or histone acetyltransferases (HATs) to define genomic target sites. Hence, the DNA sequences of the target genomic site are presented to DNA-binding protein domains that affect DNA function in the presence of an enzymatic effector domain. This way, epigenome editing allows the precise modification of individual chromatin marks at selected genomic sites (<xref ref-type="bibr" rid="B113">Nakamura et al., 2021</xref>).</p>
<p>Besides modulating gene expression, epigenome editing is an appealing approach for understanding the mechanism of chromatin modification, cellular reprogramming, and regulatory functions. It has applications in both basic research involving gene expression studies and application-oriented epigenomic engineering of crop plants. The characterization of epialleles (i.e., alleles that are genetically alike but show variable genetic expression due to epigenomic modifications) is gradually picking up to be fully exploited in future crop improvement programs. Epigenome editing holds great promise in improving crops by creating novel epiallelic diversity that can be exploited for future precision and smart crop epi-breeding (<xref ref-type="bibr" rid="B29">Gahlaut S K et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Giudice et al., 2021</xref>; <xref ref-type="bibr" rid="B57">Kakoulidou et al., 2021</xref>). For epigenome editing, a modified CRISPR/dCas9 known as dead, deactivated, null, or nuclease deficient Cas9 (dCas9) has been created by silencing two mutations of the RuvC1 (D10A) and HNH (H841A) nuclease domains (<xref ref-type="bibr" rid="B122">Qi et al., 2013</xref>). The CRISPR-dCas 9 approach is attractive as it helps overcome the limitation of the DBD approach, wherein for targeting a different sequence, a corresponding distinct protein is required, making it difficult to target a wide range of loci in the genomes. In this respect, CRISPR-dCas9 associated system offers flexibility as associated gRNAs help the Cas proteins achieve genomic specificity (<xref ref-type="bibr" rid="B113">Nakamura et al., 2021</xref>). A single dCas protein can be reoriented to target different loci simply by altering the sequence of its associated gRNA. This way, the technology offers a flexible platform for targeting almost any genomic sequence (<xref ref-type="bibr" rid="B10">Brocken et al., 2018</xref>). Epigenomic editing depends on inducing changes in chromatin architecture to influence gene transcription and relies on primarily inducing reversible and heritable changes in epigenetic marks such as DNA and histones&#x2019; methylation, acetylation, and phosphorylation. This results in novel genetic variation in the form of epialleles and has tremendous potential for crop enhancement through epi-breeding. Although several publications have demonstrated the feasibility of epigenome editing in <italic>A. thaliana</italic> (<xref ref-type="table" rid="T3">Table 3</xref>), its modalities need to be standardized in crop plants for commercial application.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Epigenome editing in the model plant <italic>Arabidopsis thaliana</italic>.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">DNB Domain/targeting system/target gene</th>
<th align="left">Epigenome editing/modification</th>
<th align="left">Response</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">ZFN fused to SUVH9</td>
<td align="left">Recruitment of PolV during RdDM through methyl-DNA binding SUVH2 and SUVH9 proteins</td>
<td align="left">DNA methylation and gene silencing</td>
<td align="left">
<xref ref-type="bibr" rid="B56">Johnson et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left">CRISPR dCas9-SunTag based targeting system coupled with tobacco DRM methyltransferase (NtDRMcd)</td>
<td align="left">Manipulation of DNA methylation at FWA promoter</td>
<td align="left">Modification of gene expression, induction of DNA demethylation at FWA, and SUPERMAN promoter affecting gene transcription and triggering a developmental phenotype</td>
<td align="left">
<xref ref-type="bibr" rid="B188">Zhong et al. (2014)</xref>, <xref ref-type="bibr" rid="B117">Papikian et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Mutation of the H3K9 methyl transferase genes <italic>KYP/SUVH4 SUVH5</italic>, <italic>SUVH6</italic>, or the CHG DNA methyl transferase gene <italic>CMT3</italic>
</td>
<td align="left">Disruption of histone 3 di-methylation on lysine 9 (H3K9me2) and non-CG DNA methylation <italic>via</italic> mutation of the H3K9 methyl transferase genes <italic>KYP/SUVH4 SUVH5</italic>, <italic>SUVH6</italic>, or the CHG DNA methyl transferase gene <italic>CMT3</italic>
</td>
<td align="left">Manipulation of the rate and positions of crossing over (CO). Increase in meiotic recombination in proximity to the centromeres (pericentromeric recombination) and meiotic DNA double-strand breaks (DSBs). Repressive effect of H3K9me2 and non-CG DNA methylation on both meiotic DSB and crossover formation in plant pericentromeric heterochromatin</td>
<td align="left">
<xref ref-type="bibr" rid="B153">Underwood et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">ZF fusion with catalytic domain human demethylase TET1cd and SunTag-TET1cd system</td>
<td align="left">Demethylation of the promoter of <italic>FWA</italic> (Flowering Wageningen) gene and <italic>CACTA1</italic> transposon</td>
<td align="left">Targeted, complete, highly specific, and heritable demethylation (removal of 5&#xa0;mC at specific loci in the genome) at <italic>FWA</italic> promoter and activation of gene expression. Reactivation and upregulation of the FWA gene and a heritable late-flowering phenotype. Targeted demethylation and reactivation of heterochromatic TE-CACTA1, although demethylation was incomplete on this locus and remethylation and resilience occurred once the trigger construct was segregated out</td>
<td align="left">
<xref ref-type="bibr" rid="B32">Gallego-Bartolom&#xe9; et al. (2018)</xref>, <xref ref-type="bibr" rid="B31">Gallego-Bartolom&#xe9;, (2020</xref>)</td>
</tr>
<tr>
<td align="left">ZF-RNA directed DNA methylase (RdDM); ZF-MORC6</td>
<td align="left">Co-targeting of both arms of the RdDM pathway, siRNA biogenesis, and co-targeting of Pol IV and Pol V synergistic recruitment</td>
<td align="left">Enhanced targeted <italic>FWA</italic> methylation and silencing, microrchidia- (MORC6-) targeted DNA methylation. Trigger of AGO- and DRM2-dependent methylation</td>
<td align="left">
<xref ref-type="bibr" rid="B33">Gallego-Bartolom&#xe9; et al. (2019)</xref>, <xref ref-type="bibr" rid="B31">Gallego-Bartolom&#xe9;, (2020</xref>)</td>
</tr>
<tr>
<td align="left">CRISPR <italic>dCas9-HAT1</italic> gene</td>
<td align="left">Hyperacetylation at <italic>AREB1</italic> (Abscisic acid-responsive element-binding protein 1) locus resulting in activation of endogenous promoter of <italic>AREB1</italic>
</td>
<td align="left">Improved transcription of <italic>AREB1</italic> gene involved in abscisic acid perception. Improved chlorophyll content and drought tolerance due to activation of bZIP TF that can activate several stress tolerance-related genes like RD29A</td>
<td align="left">
<xref ref-type="bibr" rid="B116">Paix&#xe3;o et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">CRISPR dCas9-TET1</td>
<td align="left">Essential requirement of methylated CG (mCG) and mCHG (where H can be A, C, or T) for targeting RdDM machinery to remethylable loci. RdDm target loci to form stable epialleles in the presence of specific histone and DNA methylation marks</td>
<td align="left">Induction of alternation between two epi-allelic states at a specific locus</td>
<td align="left">
<xref ref-type="bibr" rid="B73">Li C et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">CRISPR-bacterial methyltransferase MQ1v and CRISPR-SunTagMQ1v Systems</td>
<td align="left">
<italic>De novo</italic> induction of CG methylation at different loci with varying efficiency with CRISPR-MQ1v and CRISPR-SunTagMQ1v systems. CRISPR-SunTagMQ1v has shown to be more potent than CRISPR-MQ1v. Development of a CRISPR-based CG-specific targeted DNA methylation system</td>
<td align="left">Improved heritability of induced target-specific CG methylation and high specificity of CRISPR-based MQ1v systems</td>
<td align="left">
<xref ref-type="bibr" rid="B37">Ghoshal et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The first successful instance of epigenome editing was achieved in the model plant species <italic>A. thaliana</italic> (<xref ref-type="bibr" rid="B56">Johnson et al., 2014</xref>). A ZFN fused to RdDM (RNA-directed DNA methylase) component SU(VAR)3-9 HOMOLOG 9 (SUVH9) was involved in the recruitment of PolV during RdDM mediated <italic>via</italic> methyl-DNA binding SUVH2 and SUVH9 proteins at the FWA target to display DNA methylation induced gene silencing. Many other components of RdDM, such as SHH1, NRPD1, RDR2, DMS3, and RDM, when joined with ZFs, have also been shown to induce methylation at the FWA target in <italic>A. thaliana</italic> (<xref ref-type="bibr" rid="B33">Gallego-Bartolom&#xe9; et al., 2019</xref>). A CRISPR dCas9-SunTag-based targeting system coupled with tobacco DRM methyltransferase (NtDRMcd) was used to target DNA methylation in <italic>A. thaliana</italic> (<xref ref-type="bibr" rid="B188">Zhong et al., 2014</xref>; <xref ref-type="bibr" rid="B117">Papikian et al., 2019</xref>). It resulted in the induction of DNA demethylation at FWA and SUPERMAN promoters affecting gene transcription and triggering a developmental phenotype. Further, a repressive effect of H3K9me2 and non-CG DNA methylation on both meiotic DSB and crossover formation in plant pericentromeric heterochromatin resulted in manipulation of the rate and positions of crossing over. Increase in meiotic recombination in proximity to the centromeres (pericentromeric recombination) and meiotic DNA double-strand breaks (DSBs) in Thale Cress (<xref ref-type="bibr" rid="B117">Papikian et al., 2019</xref>). Recently, <xref ref-type="bibr" rid="B32">Gallego-Bartolom&#xe9; et al. (2018</xref>), <xref ref-type="bibr" rid="B33">Gallego-Bartolom&#xe9; et al. (2019</xref>), and <xref ref-type="bibr" rid="B31">Gallego-Bartolom&#xe9; (2020</xref>) used ZF and CRISPR-dcas9-SunTag systems fused with the catalytic domain of human demethylase TET1cd to test several RdDM components such as RNA-dependent RNA polymerase 2 (RDR2), Microchidia 1 and 6 (MORC1 and MORC6), RNA directed methylation 1 (RDM1), and defective in meristem silencing 3 (DMS3) to induce targeted DNA methylation/demethylation at <italic>FWA</italic> locus in <italic>A. thaliana</italic>. ZF fusion with catalytic domain human demethylase TET1cd and SunTag-TET1cd system resulted in demethylation of the promoter of <italic>FWA</italic> (Flowering Wageningen) gene and CACTA1 transposon and activation of gene expression. While the fusion of ZF-RdDM and ZF-MORC6 enhanced targeted FWA methylation, Microrchidia (MORC6) targeted DNA methylation and triggered AGO- and DRM2-dependent methylation and gene silencing in <italic>A. thaliana</italic> (<xref ref-type="bibr" rid="B33">Gallego-Bartolom&#xe9; et al., 2019</xref>; <xref ref-type="bibr" rid="B31">Gallego-Bartolom&#xe9;, 2020</xref>). These studies provide important experimental evidence to design and utilize a highly targeted and heritable DNA methylation/demethylation system to modulate gene expression in crop plants.</p>
<p>Fusion of CRISPR <italic>dCas9-HAT1</italic> gene resulted in hyperacetylation at <italic>AREB1</italic> (abscisic acid-responsive element-binding protein 1) locus leading to activation of endogenous promoter of <italic>AREB1</italic>. This improved transcription of the <italic>AREB1</italic> gene involved in ABA perception improved chlorophyll content and drought tolerance due to the activation of bZIP TF, which can activate several stress tolerance-related genes such as <italic>RD29A</italic> (<xref ref-type="bibr" rid="B116">Paix&#xe3;o et al., 2019</xref>). Further, <xref ref-type="bibr" rid="B75">Li et al. (2020a)</xref> showed essential requirements of methylated CG (mCG) and mCHG by using CRISPR dCas9-TET1 fusion (where H can be A, C, or T) for targeting RdDM machinery to re-methylate loci. RdDm target loci were shown to form stable epialleles in the presence of specific histone and DNA methylation marks to induce alternation between two epiallelic states at a specific locus.</p>
<p>Recently, <xref ref-type="bibr" rid="B37">Ghoshal et al. (2021)</xref> used CRISPR-bacterial methyltransferase MQ1v and CRISPR-SunTagMQ1v and developed a CRISPR-based CG-specific targeted DNA methylation system to achieve <italic>de novo</italic> induction of CG methylation at different loci with varying efficiency. CRISPR-SunTagMQ1v was shown to be more potent than CRISPR-MQ1v. These MQ1v-based tools appear to be attractive as they offer flexibility to induce methylation at different levels at different loci and show high specificity attributed to the Q147L mutation. Further, the study also demonstrated that for some loci, CG methylation alone was enough to silence gene expression, and for these loci, CRISPR-MQ1v and CRISPR-SunTagMQ1v systems were likely to be more efficient than the DRM2-based SunTag system developed by <xref ref-type="bibr" rid="B117">Papikian et al. (2019)</xref> described above.</p>
<p>The above examples show the potential of epigenome editing technology in modulating gene expression and showing observable changes in the phenotypes by altering the DNA methylation status at various genetic loci in <italic>A. thaliana</italic>. Similar studies need to be extended to crop species for exploiting the advantages of locus-specific modulation of DNA methylation through epigenome editing. The new tier of epigenetic variability generated by epigenome editing has significant potential in bringing about the genetic enhancement of crop species.</p>
<p>Epigenome editing, as discussed here and in many other reviews (<xref ref-type="bibr" rid="B30">Gahlaut V et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Giudice et al., 2021</xref>; <xref ref-type="bibr" rid="B57">Kakoulidou et al., 2021</xref>), offers opportunities for editing epigenetic codes in plant genomes globally or at selected loci to create novel genetic variability. To harness the benefits of epigenomic editing, however, it is important to define the specific epimark(s) linked with specific phenotypes and agronomic traits of interest. In this context, genome-wide mapping of epigenomic marks and epigenetic target identification are among the current thrust research areas. A few genetic elements controlled by DNA methylation and linked to desired plant traits have been identified. For instance, naturally occurring epi-alleles that accumulate high levels of vitamin E in tomatoes are associated with differential methylation of a SINE retrotransposon located in the promoter region of gene <italic>VTE3(1)</italic> (<xref ref-type="bibr" rid="B124">Quadrana et al., 2014</xref>). In cotton, the <italic>COL2</italic> epi-allele is associated with DNA methylation changes and affects flowering time (<xref ref-type="bibr" rid="B140">Song et al., 2017</xref>). It is important to accumulate epigenomic data in various crop species to help identify the potential candidate editing targets. Information on genome-wide changes in DNA methylation in response to environmental stress has been gathered in crops such as rice (<xref ref-type="bibr" rid="B41">Guo et al., 2019</xref>; <xref ref-type="bibr" rid="B126">Rajkumar et al., 2020</xref>), wheat (<xref ref-type="bibr" rid="B70">Kumar et al., 2017</xref>), soybean (<xref ref-type="bibr" rid="B141">Song et al., 2012</xref>), and sesame (<xref ref-type="bibr" rid="B65">Komivi et al., 2018</xref>).</p>
</sec>
<sec id="s7-4">
<title>7.4 Base editing</title>
<p>Base editing (BE) is a novel GE technology representing the fourth phase of the evolution of GE platforms wherein a single nucleotide in a DNA or RNA can be substituted irreversibly. The process does not involve a double-stranded breaks (DSB) and hence bypasses the undesirable effects of NHEJ and HDR mechanisms. Of all the previous tinkering tools, BE is the most attractive for the simple reason that here the genome modification is &#x201c;base-pointed&#x201d; and precise. It does not involve additions or deletions in the genome (i.e., no change occurs in the DNA content of the organism). Neither does it involve the incorporation of DNA from another organism (i.e., the edited organism does not become a GMO). It minimizes the chances of unintended, unwarranted effects on the phenotype (<xref ref-type="bibr" rid="B129">Rees and Liu, 2018</xref>; <xref ref-type="bibr" rid="B24">Deb et al., 2022</xref>). With a perfect BE toolbox, one can envisage generating desirable alleles for a trait by simply making the required substitutions. All that is required is a base modifying enzyme linked to a modified endonuclease, such as dCas9, which can target a desired region in the genome but not cause a DSB. Since the advent of this technology in 2016, it has become possible to execute C to T and A to G transition and C to G transversion editing. <xref ref-type="fig" rid="F3">Figure 3</xref> presents a schematic representation of the working mechanism of the base editing methodology that has been employed for GE.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Schematic representation of base editing in plants by using DNA and RNA base editors. <bold>(A)</bold>. CRISPR/Cas9 system-mediated cytosine base editing system (CBE). A sgRNA-dCas9 complex binds to the intended target sequence following this cytidine deaminase catalyses the deamination of cytosine <bold>(C)</bold> resulting in a C-G to T-A conversion. <bold>(B)</bold> CRISPR/Cpf-1 mediated CBE system. In this system, dCpf1 is fused with a cytidine deaminase, to make C-G to T-A conversion in the non-targeted DNA strand. <bold>(C)</bold>. CRISPR/Cas9-mediated adenine base editing system (ABE) employs an Adenosine deaminase and catalytically impaired Cas9 fusion product to bind to the intended target site. The adenosine deaminase catalyses an A (adenine) to I (inosine) change at the target site to introduce A-T to C-C conversion in the DNA strand (adapted from <xref ref-type="bibr" rid="B193">Bharat et al. 2020</xref>).</p>
</caption>
<graphic xlink:href="fgene-13-876987-g003.tif"/>
</fig>
<sec id="s7-4-1">
<title>7.4.1 Cytosine base editors C to T</title>
<p>GE has been revolutionized by engineering the CRISPR/Cas9 to enable cytosine base editing (<xref ref-type="bibr" rid="B66">Komor et al., 2016</xref>). The first-generation cytosine base editors (BE1) comprised of catalytically dead dCas9 (D10A, H840A) fused with rat apolipoprotein B mRNA editing enzyme (rAPOBEC1), a cytidine deaminase operating on ssDNA <italic>via</italic> a 16aa XTEN linker at its N-terminus (rAPOBEC1-XTEN-dCas9). Although BE1 was highly efficient in converting C:G to T:A <italic>in vitro</italic>, the same decreased considerably when assessed within cells because of the base excision repair mechanism (BER). To bypass the <italic>in vivo</italic> repair response and overcome decreased efficiency, second-generation cytosine base editors (BE2) were formed by fusion of Uracil DNA glycosylase inhibitor (UGI) to the C-terminal of BE1. This inhibited the action of Uracil DNA glycosylase (UDG), which would otherwise have catalyzed the removal of U, resulting in reversion to C:G through BER. The C:G to T:A conversion efficiency was sought to be further enhanced by generating a nick on the non-edited DNA strand, thereby stimulating the cellular mismatch repair mechanism (MMR), which would replace the G on the nicked strand opposite the U on the target strand by an A, resulting in a U:A, which gets repaired to result in the desired T:A substitution. This resulted in BE3, a BE2 with a dCas9 modified to enable nicking activity (nCas9-H840A), resulting in much more efficient C:G to T:A substitutions (<xref ref-type="bibr" rid="B66">Komor et al., 2016</xref>).</p>
</sec>
<sec id="s7-4-2">
<title>7.4.2 Adenine base editors A to G</title>
<p>Although CBEs use naturally occurring cytosine deaminases to convert cytosine to uracil or 5-methylcytosine to thymine, no known adenine deaminases could deaminate the adenosine in DNA. In a significant breakthrough, <xref ref-type="bibr" rid="B35">Gaudelli et al. (2017)</xref> used directed evolution to form a modified transfer RNA adenosine deaminase (TadA&#x2a;), which could catalyze the deamination of deoxyadenosine in an ssDNA resulting in a deoxyinosine. TadA&#x2a; was joined through the XTEN linked to the N-terminus of Cas9 nickase with a nuclear localization signal (NLS) at its C-terminus (TadA&#x2a;&#x2013;XTEN&#x2013;nCas9&#x2013;NLS). The group engineered seven generations of ABEs to arrive at ABE7.10, which had high efficiency in converting A:T to G:C (<xref ref-type="bibr" rid="B35">Gaudelli et al., 2017</xref>).</p>
</sec>
<sec id="s7-4-3">
<title>7.4.3 Cytosine to Guanosine base editor C to G</title>
<p>It had been observed that although the efficiency of C to T transitions increased considerably by fusing UGI to BE1, in absence of the glycosylase inhibitor, C to T conversions were not so clean and were accompanied by C to G and C to A transversions (<xref ref-type="bibr" rid="B66">Komor et al., 2016</xref>). This action of glycosylase, which sought to be inhibited in CBEs for improved recovery of clean C to T substitutions, was tapped for accomplishing C to G transversion in CGBEs. Uracil DNA N-glycosylase (ecUNG) from <italic>Escherichia coli</italic> (<xref ref-type="bibr" rid="B71">Kurt et al., 2021</xref>; <xref ref-type="bibr" rid="B186">Zhao et al., 2021</xref>) or rat XRCC1 (<xref ref-type="bibr" rid="B16">Chen et al., 2021</xref>) were linked to a nCas9 (D10A) and further fused with a rat cytidine deaminase rAPOBEC1 (<xref ref-type="bibr" rid="B16">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="B186">Zhao et al., 2021</xref>) or its engineered variant rAPOBEC1 (R33A) (<xref ref-type="bibr" rid="B71">Kurt et al., 2021</xref>) or with human activation-induced cytidine deaminase (h-AID) (<xref ref-type="bibr" rid="B186">Zhao et al., 2021</xref>). The resultant CGBEs or GBEs (glycosylase base editors), UNG-nCas9-APOBEC1, XRCC1-nCas9-APOBEC1, UNG-APOBEC1-nCas9, and h-AID-nCas9-UNG, result in the conversion of C to U and subsequently to G <italic>via</italic> base excision repair (<xref ref-type="bibr" rid="B16">Chen et al., 2021</xref>) or by translesion polymerization (<xref ref-type="bibr" rid="B96">Liu et al., 2016</xref>). The nicking of the opposite strand triggers the repair machinery of the cell, which converts C:G to G:C.</p>
</sec>
<sec id="s7-4-4">
<title>7.4.4 Dual-base editors</title>
<p>Dual-base editors have recently been developed by merging the cytosine and adenine deaminases in a single editor termed variably as SPACE (synchronous programmable adenine and cytosine editor) (<xref ref-type="bibr" rid="B39">Grunewald et al., 2020</xref>), STEMEs (saturated targeted endogenous mutagenesis editors) (<xref ref-type="bibr" rid="B73">Li et al., 2020</xref>), ACBE (adenine and cytosine base editor) (<xref ref-type="bibr" rid="B169">Xie et al., 2020</xref>), and DuBEs (dual-base editors) (<xref ref-type="bibr" rid="B171">Xu et al., 2021</xref>). <xref ref-type="bibr" rid="B39">Grunewald et al. (2020)</xref> fused the monomeric TadA of miniABEmax-V82G6 and pmCDA1 of Target-AID5 with the adenine deaminase at the N-terminus and cytosine deaminase at the C-terminus of nCas9 (D10A). <xref ref-type="bibr" rid="B131">Sakata et al. (2020)</xref> and <xref ref-type="bibr" rid="B169">Xie et al. (2020)</xref> also used the same architecture. <xref ref-type="bibr" rid="B182">Zhang et al. (2020)</xref> developed DuBEs (A&#x26;C-BEmax) by fusing the two deaminases to the N-terminus and found that hAID-TadA-TadA&#x2a;linked to nCas9 (D10A) along with two UGIs yielded higher editing efficiency compared to multiplexing with individual deaminase editors in human cells. <xref ref-type="bibr" rid="B73">Li et al. (2020)</xref> developed STEMEs by fusing both deaminases, APOBEC3A/ecTadA, to the N-terminus of nCas9 (D10A) and tested them in rice. They reported better C to T and A to G editing with the DuBE than that achieved using co-delivered deaminases and could generate herbicide resistance in rice. Overall, DuBEs were more efficient in C to T edits than A to G. However, the plant DuBE version 1 (pDuBE1) developed by <xref ref-type="bibr" rid="B174">Xu et al. (2021)</xref> using TadA-8e and LjCDA1L-4 (<italic>Lethenteron japonicum</italic> CDA1-like 4) fused to the opposite termini of nCas9 (D10A) displayed highly efficient simultaneous A to G/C to T edits (49.7%) in rice calli. <xref ref-type="bibr" rid="B90">Liang et al. (2022)</xref> furthered the scope of DuBEs by engineering an AGBE (fusing a CGBE with an ABE), which could render efficient C to G, C to T, C to A, and A to G editing possible in mammalian cells.</p>
</sec>
<sec id="s7-4-5">
<title>7.4.5 Base editing in plants</title>
<p>Base editing (C to T transitions) in plants was demonstrated for the first time in rice (Lu and Zhu, 2017; <xref ref-type="bibr" rid="B130">Ren et al., 2017</xref>; <xref ref-type="bibr" rid="B191">Zong et al., 2017</xref>; <xref ref-type="bibr" rid="B83">Li et al., 2017</xref>). <xref ref-type="bibr" rid="B205">Lu and Zhu (2017)</xref> formed a fusion protein, APOBEC1-XTEN-Cas9(D10A), as described by <xref ref-type="bibr" rid="B66">Komor et al. (2016)</xref>, put it under the ubiquitin maize promoter, and used it for editing <italic>OsNRT1.1B</italic> and <italic>OsSLR1</italic> in rice. Sequencing confirmed C to T (1.4%&#x2013;11.5%) and C to G (1.6%&#x2013;3.9%) substitutions in both genes to be more in <italic>SLR1</italic> than <italic>NRT1.1B</italic>. Indels (10%) were much more than the &#x3c;1% reported by <xref ref-type="bibr" rid="B66">Komor et al. (2016)</xref>, probably because no uracil glycosylase inhibitor (UGI) was used. <xref ref-type="bibr" rid="B191">Zong et al. (2017)</xref> tailored the base editors by including UGI to form pnCas9-PBE (rAPOBEC1-nCas9-D10A-UGI) and pdCas9-PBE (rAPOBEC1-dCas9-UGI) and found that these bring about C to T substitutions in three rice (cell division cycle mutation 48 OsCDC48, nitrate transporter OsNRT1.1B, and a plant architecture gene <italic>OsSPL14</italic>), one wheat (<italic>TaLOX2</italic>), and one maize (<italic>ZmCENH3</italic>) gene with hardly any indels. Cas9 nickase-based editor was more efficient than the one with dCas9. In the same year, <xref ref-type="bibr" rid="B83">Li et al. (2017)</xref>, while reporting greater than 40% substitutions, proposed that editing efficiency could vary depending on the target locus amongst three targeted loci (one on <italic>OsPDS</italic> and two on <italic>OsSBEIIb</italic>) of rice.</p>
<p>One of the limitations that were obvious in the initial period of the use of this technology was the restriction imposed by the availability or otherwise the canonical PAM sites in a genome. To overcome this challenge, Cas variants/orthologues with relaxed PAM sites both naturally occurring and engineered have been employed. Further, since the first reported use of rAPOBEC cytidine deaminase from a rat in BE1, deaminases sourced from other organisms such as human apolipoprotein B mRNA editing enzyme (hAPOBEC3A) (<xref ref-type="bibr" rid="B36">Gehrke et al., 2018</xref>; <xref ref-type="bibr" rid="B164">Wang W et al., 2018</xref>), hAID (<xref ref-type="bibr" rid="B42">Hess et al., 2016</xref>), <italic>Petromyzon marinus</italic> cytidine deaminase 1 (PmCDA1) (<xref ref-type="bibr" rid="B206">Nishida et al., 2016</xref>), and their mutated forms with varying features <italic>vis-a-vis</italic> editing window, size, sequence preference, and so on have been reported (<xref ref-type="bibr" rid="B19">Cheng et al., 2019</xref>).</p>
<p>Various proof of concept studies conducted in plants for base editing using natural and engineered variants of Cas in combination with different cytidine/adenine deaminases have been listed in <xref ref-type="table" rid="T4">Table 4</xref>. A SpCas-9 variant, SpCas9-VQR (D1135V &#x2b; R1335Q &#x2b; T1337R), recognizes NGAN and NGNG PAM sites, broadening the reach within a genome (<xref ref-type="bibr" rid="B64">Kleinstiver et al., 2015</xref>). <xref ref-type="bibr" rid="B130">Ren et al. (2017)</xref> used this variant to develop two CBEs for rice, rBE3 (APOBEC1-XTEN-Cas9n-UGI-NLS) and rBE4 (APOBEC1-XTEN-Cas9nVQR-UGI-NLS), and successfully edited a blast susceptible protein and OsCERK1 (a receptor kinase) with an efficiency of 17%. <xref ref-type="bibr" rid="B144">Steinert et al. (2015)</xref> and <xref ref-type="bibr" rid="B60">Kaya et al. (2017)</xref> recommended the use of <italic>Staphylococcus aureus</italic> Cas9 (SaCas9) in plants because of its smaller size, longer target sequence, different PAM, and somewhat higher efficiency than spCas9. A variant with three mutations E782K/N968K/R105H (SaCas9-KKH SaKKH) has a relaxed PAM (NNNRRT) compared to the wild type (<xref ref-type="bibr" rid="B64">Kleinstiver et al., 2015</xref>). <xref ref-type="bibr" rid="B123">Qin et al. (2019)</xref> developed nSaCas9(D10A) and nSaKKH(D10A) nickase-based CBEs (Sa-BE3, SaKKH-BE3, Sa-eBE3, and SaKKH-eBE3) and ABEs (Sa-ABE and SaKKH-ABE/ABE-P5) reporting up to 71.9% cytosine edited (nSaCas9, SLR1 gene) and 63.2% adenine edited (nSaCas9, OsSPL17 gene) rice plants. <xref ref-type="bibr" rid="B156">Veillet et al. (2020)</xref> used the nickase SaCas9 (nSaCas9) with PmCDA1 to modify granule-bound starch synthase (StGBSS) and Downy Mildew Resistant 6 (StDMR6) in potato. It recognizes 5&#x2019;--NNGGAT-3&#x2032; as a PAM site and has an editing window from &#x2212;23 to &#x2212;22. <xref ref-type="bibr" rid="B207">Nishimasu et al. (2018)</xref> engineered spCas9 to recognize NG (spCas9-NG), a relaxed PAM, and used the nickase version fused with activation-induced cytidine deaminase (nSpCas9-NG-AID/Target-AID-NG) to determine their editing efficiencies. Although Target-AID had a better efficiency at the canonical PAM, Target-AID-NG had a wider PAM repertoire and performed better than the former at other PAM sites, whereas xCas9-BE4 (<xref ref-type="bibr" rid="B45">Hu et al., 2018</xref>) was the least efficient in mammalian cells. <xref ref-type="bibr" rid="B213">Zhong et al. (2019)</xref> tested xCas9(D10A)-rAPOBEC1, xCas9(D10A)-PmCDA1-UGI, and Cas9(D10A)-NG-PmCDA1-UGI in rice and concluded that xCas9(D10A)-based editors were comparable in efficiency to those based on wtCas9(D10A). The former demonstrated better fidelity concerning the protospacer, and Cas9-NG-based editors were more efficient among all three tested at relaxed PAM sequences. <xref ref-type="bibr" rid="B196">Endo et al. (2019)</xref> used SpCas9-NGv1 nickase in rice. Veillet et al. (2020) used SpCas9NG-based CBE for editing granule-bound starch synthase (StGBSS) and Downy Mildew Resistant 6 (StDMR6-1) in potato. They also tested the performance of this editor in tomatoes by targeting two PAM sites in the acetolactate synthase (ALS) gene. GGT gave a lower efficiency (32%) than the canonical PAM NGN (64%).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Base editing mediated proof of concept and improvement studies in major crop plants.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Aim</th>
<th align="left">Editor</th>
<th align="left">Plant</th>
<th align="left">Genes targeted</th>
<th align="left">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="13" align="left">Proof of concept/demonstration of editing efficiency</td>
<td rowspan="6" align="left">CBE</td>
<td align="left">Rice</td>
<td align="left">
<italic>OsNRT1.1B</italic>, <italic>OzSLR1</italic>, <italic>OsCDC48</italic>, <italic>OsSPL14</italic>, <italic>OsSERK1</italic>, <italic>OsSERK2</italic>, <italic>OsPi-ta</italic>, <italic>OsSBEIIb</italic>, <italic>OsPDS</italic>, <italic>OsALS</italic>, <italic>OsAOS1</italic>, <italic>OsJAR1</italic>, <italic>OsJAR2</italic>, <italic>OsCOI2</italic>, <italic>OsSNB</italic>, <italic>OsSPL7</italic>, <italic>OsPMS3</italic>, <italic>OsSPL14</italic>, <italic>OsIPA1-T1, OsMKK6</italic>, <italic>OsEhd1</italic>, <italic>OsPi-d2</italic>, <italic>OsMPK3</italic>, <italic>OsROC</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B205">Lu and Zhu (2017)</xref>, <xref ref-type="bibr" rid="B191">Zong et al. (2017)</xref>, <xref ref-type="bibr" rid="B130">Ren et al. (2017)</xref>, <xref ref-type="bibr" rid="B83">Li P et al. (2017)</xref>, <xref ref-type="bibr" rid="B130">Ren et al. (2018)</xref>, <xref ref-type="bibr" rid="B158">Wang et al. (2019)</xref>, <xref ref-type="bibr" rid="B123">Qin et al. (2019)</xref>, <xref ref-type="bibr" rid="B142">Sretenovic et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Wheat</td>
<td align="left">
<italic>TaLOX2</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B191">Zong et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Maize</td>
<td align="left">
<italic>ZmCENH3</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B191">Zong et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Arabidopsis</italic>
</td>
<td align="left">
<italic>LFY</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B194">Choi et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Tomato</td>
<td align="left">
<italic>SlALS1</italic>, <italic>SlCYC-B</italic>, <italic>SlDET1</italic>, <italic>SlDDB1</italic>, <italic>SlETR1</italic>, <italic>SlETR2</italic>, <italic>SlHWS</italic>, <italic>SlDELLA</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B200">Hunziker et al. (2020)</xref>, <xref ref-type="bibr" rid="B59">Kashojiya et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Rapeseed</td>
<td align="left">
<italic>BnaCLV3</italic>, <italic>BnaRGA</italic>, <italic>BnaA3.IAA7</italic>, <italic>BnaDA1</italic>, <italic>BnaALS</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B44">Hu et al. (2020)</xref>, <xref ref-type="bibr" rid="B18">Cheng et al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">ABE</td>
<td align="left">Rice</td>
<td align="left">
<italic>OsACC-T1</italic>, <italic>OsALS-T1</italic>, <italic>OsCDC48-T3</italic>, <italic>OsDEP1</italic>, <italic>OsNRT1.1B-T1</italic>, <italic>OsIPA1</italic>, <italic>OsSLR1</italic>, <italic>OsMPK6</italic>, <italic>OsMPK13</italic>, <italic>OsSERK2</italic> and <italic>OsWRKY45</italic>, <italic>OsSPL14</italic>, <italic>OsSPL17</italic>, <italic>OsSPL16</italic>, <italic>OsSPL18</italic>, <italic>OsIDS1</italic>, <italic>OsTOE1</italic>, <italic>OsSNB</italic>, <italic>OsPMS3</italic>, <italic>OsPMS1</italic>, <italic>OsSPL14</italic>, <italic>OsLF1</italic>, <italic>OsIAA13</italic>, <italic>OsSPL7</italic>, <italic>OsSPL4</italic>, <italic>OsMADS5</italic>, <italic>OsWx</italic>, <italic>OsPi</italic>-<italic>d3</italic>, <italic>OsGL2</italic>,<italic>&#xa0;OsGRF3</italic>, <italic>OsSLR1</italic>, <italic>OsWSL5</italic>,&#xa0;<italic>OsZEBRA3</italic>&#xa0;(<italic>Z3</italic>), <italic>OsROC</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B48">Hua et al. (2018)</xref>, <xref ref-type="bibr" rid="B49">Hua et al. (2019)</xref>, <xref ref-type="bibr" rid="B158">Wang et al. (2019)</xref>, <xref ref-type="bibr" rid="B46">Hua et al. (2020a)</xref>, <xref ref-type="bibr" rid="B142">Sretenovic et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Wheat</td>
<td align="left">
<italic>TaDEP1</italic>, <italic>TaGW2</italic>, <italic>TaALS</italic>, <italic>TaTub</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B81">Li J et al. (2018)</xref>, <xref ref-type="bibr" rid="B198">Han et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Tobacco</td>
<td align="left">
<italic>NbPDS</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B163">Wang W et al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">CGBE</td>
<td align="left">Rice</td>
<td align="left">
<italic>OsALS</italic>, <italic>OsCGRS55</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B142">Sretenovic et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Tomato</td>
<td align="left">
<italic>AGO7</italic>
</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Poplar</td>
<td align="left">
<italic>PtPDS1</italic>, <italic>PtPDS2</italic>
</td>
<td align="left"/>
</tr>
<tr>
<td align="left">DuBE</td>
<td align="left">Rice</td>
<td align="left">
<italic>OsAAT</italic>, <italic>OsACC</italic>, <italic>OsCDC48</italic>, <italic>OsDEP1</italic>, <italic>BADH2-2</italic>, <italic>FSD2-1</italic>, <italic>LAZY1-2</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B75">Li et al. (2020a)</xref>, <xref ref-type="bibr" rid="B171">Xu R et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Co-editing</td>
<td align="left">CBE</td>
<td align="left">Pear, apple</td>
<td align="left">
<italic>PDS</italic>, <italic>ALS</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B105">Malabarba et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Double CBE</td>
<td align="left">CBE</td>
<td align="left">Potato</td>
<td align="left">
<italic>StDMR6-1</italic>, <italic>StGBSSI</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B156">Veillet et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Simultaneous base editing</td>
<td align="left">CBE and ABE</td>
<td align="left">Rice</td>
<td align="left">
<italic>OsSPL14</italic>, <italic>OsSPL17</italic>, <italic>OsSNB</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B49">Hua et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">To introduce premature stop codon</td>
<td align="left"/>
<td align="left">Poplar</td>
<td align="left">
<italic>4CL1</italic>, <italic>PII</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B84">Li R et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Resistance to biotic stress</td>
<td align="left">CBE</td>
<td align="left">Rice</td>
<td align="left">
<italic>OsPi-d2, OsFLS2</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B130">Ren et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Herbicide tolerance</td>
<td align="left">CBE</td>
<td align="left">Rice, wheat, watermelon, foxtail millet, <italic>Arabidopsis</italic>, potato, pear, tomato, rapeseed</td>
<td align="left">
<italic>ALS1</italic>, <italic>ACC</italic>, <italic>GS1</italic>, <italic>TubA2</italic>
</td>
<td align="left">
<xref ref-type="bibr" rid="B17">Chen et al. (2017)</xref>, <xref ref-type="bibr" rid="B151">Tian et al. (2018)</xref>, <xref ref-type="bibr" rid="B178">Zhang A et al. (2019)</xref>, <xref ref-type="bibr" rid="B155">Veillet et al. (2019)</xref>, <xref ref-type="bibr" rid="B156">Veillet et al. (2020)</xref>, <xref ref-type="bibr" rid="B18">Cheng et al. (2021)</xref>, <xref ref-type="bibr" rid="B203">Kuang et al. (2020)</xref>, <xref ref-type="bibr" rid="B95">Liu et al. (2020)</xref>, <xref ref-type="bibr" rid="B168">Wu et al. (2020)</xref>, <xref ref-type="bibr" rid="B180">Zhang J et al. (2020)</xref>, <xref ref-type="bibr" rid="B105">Malabarba et al. (2021)</xref>, <xref ref-type="bibr" rid="B90">Liang Y et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Improved grain/fruit/seed quality</td>
<td align="left">CBE</td>
<td align="left">Rice</td>
<td align="left">Waxy</td>
<td align="left">
<xref ref-type="bibr" rid="B75">Li et al. (2020a)</xref>, <xref ref-type="bibr" rid="B172">Xu et al. (2020)</xref>, <xref ref-type="bibr" rid="B210">Tra et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>
<xref ref-type="bibr" rid="B48">Hua et al. (2018)</xref> adopted ABE7-10 (<xref ref-type="bibr" rid="B35">Gaudelli et al., 2017</xref>), developed adenine base editor plant version 1, ABE-P1 [TadA&#x2a;7.10-SpCas9(D10A) nickase], and 2, ABE-P2 (TadA&#x2a;7.10-SaCas9(D10A) nickase), and tested them on two rice genes: ideal plant architecture <italic>OsIPA1</italic> and slender plants <italic>OsSLR1</italic>. In 2019, they made several new versions, ABE-P3, P4, and P5, using SpCas9nVQR (D10A) and SpCas9-VRER (D10A) to increase target genome accessibility. They could successfully edit at four loci: <italic>SPL14</italic>, <italic>SPL17</italic>, <italic>SPL16</italic>, and <italic>SPL18</italic>. With the same set-up, they could demonstrate simultaneous cytosine and adenine editing using ABE-P2 and CBE-P1. Similar to reports in mammalian systems, there were no indels or off-target or any other unplanned base substitutions seen in rice. However, the editing windows were larger in the target genes. <xref ref-type="bibr" rid="B49">Hua et al. (2019)</xref> explored the use of SpCas9 and SaCas9 variants for widening the scope of the adenine base editing toolbox. They used nickases of VQR-, VRER-, and SAKKH-SpCas9 engineered variants to form three ABEs, ABE-P3 (pRABEspVQR), ABE-P4 (pRABEsp-VRER), and ABE-P5 (pRABEsa-SaKKH), and two CBEs with spCas9-VRER and saCas9-SAKKH, all of which were designed and tested in rice. The CBE and ABE formed with xCas9 were not efficient. <xref ref-type="bibr" rid="B167">Wang et al. (2021)</xref> compared the capabilities of ABE8e and ABE7.10 in <italic>Nicotiana benthamiana</italic> and established that ABE8e (60.87%) was more efficient than ABE7.10 (20.83%).</p>
<p>
<xref ref-type="bibr" rid="B142">Sretenovic et al. (2021)</xref> studied the applicability of CGBEs, for affecting transversions in plants for the first time. They improvised the three CGBE platforms for successful use in humans (<xref ref-type="bibr" rid="B16">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="B186">Zhao et al., 2021</xref>; <xref ref-type="bibr" rid="B71">Kurt et al., 2021)</xref> for use in three plant species: rice, tomato, and poplar. All three used the rat-derived rAPOBEC1 or its engineered variant rAPOBEC1 (R33A). rAPOBEC1 in combination with ecUNG or rXRCC1 was fused with nCas9 (D10A), whereas rAPOBEC1 (R33A) was linked to rescuing and nCas9 (D10A). Three, four, and two target sites were chosen for editing in rice, tomato, and poplar, respectively. As compared to BE3, all three CGBEs induced better C to G conversions, but the overall efficiency of conversion was less than that reported in humans. The efficiency of editing using SpRY, which is not PAM dependent, was also assessed. The authors achieved C to G editing, although the efficiency varied according to the system and target site. Because this was the first report, much needs to be done to improve the efficiency of plants.</p>
<p>Base editing is still an evolving technology, and many reports primarily demonstrate the successful use of a base-editing toolbox in different plants. This technology can create random variations within genomes, which can be screened and selected for advantageous traits. It also holds a great promise for improvement in traits affected by SNPs. Applications of the technology have been reported mainly as a gain of function for herbicide resistance and disease resistance and improvement in plant architecture, eating, and cooking quality (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<p>Base editing of acetyl-CoA carboxylase (<italic>ACC</italic>) and acetolactate synthase (<italic>ALS1</italic>) genes has been shown to confer herbicide resistance in rice (<xref ref-type="bibr" rid="B76">Li et al., 2020b</xref>; <xref ref-type="bibr" rid="B95">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B182">Zhang et al., 2020</xref>), tomato (<xref ref-type="bibr" rid="B155">Veillet et al., 2019</xref>; <xref ref-type="bibr" rid="B156">Veillet et al., 2020</xref>), potato (<xref ref-type="bibr" rid="B155">Veillet et al., 2019</xref>), watermelon (<xref ref-type="bibr" rid="B151">Tian et al., 2018</xref>), apple (<xref ref-type="bibr" rid="B105">Malabarba et al., 2021</xref>), pear (<xref ref-type="bibr" rid="B105">Malabarba et al., 2021</xref>), oilseed rape (<xref ref-type="bibr" rid="B168">Wu et al., 2020</xref>; <xref ref-type="bibr" rid="B18">Cheng et al., 2021</xref>), <italic>Arabidopsis</italic> (<xref ref-type="bibr" rid="B17">Chen et al., 2017</xref>), foxtail millet (<xref ref-type="bibr" rid="B90">Liang et al., 2022</xref>), and wheat (<xref ref-type="bibr" rid="B178">Zhang et al., 2019</xref>). The eating and cooking quality (ECQ) is of utmost importance for all cereals, and it is primarily determined by the amylose content in the grain, determined by the <italic>Waxy</italic> <italic>(Wx)</italic> gene-encoded granule-bound starch synthase I (GBSSI) (<xref ref-type="bibr" rid="B82">Li et al., 2016</xref>). <xref ref-type="bibr" rid="B171">Xu et al. (2021)</xref> used CBEs to develop rice lines expressing a range of amylose content (0%&#x2013;12%), which improved its ECQ considerably by making several substitutions near the soft rice allele site in Wx. Similarly, <xref ref-type="bibr" rid="B75">Li et al. (2020a)</xref> lowered the amylose content in rice grains. <xref ref-type="bibr" rid="B156">Veillet et al. (2020)</xref> incorporated base substitutions in the <italic>GBSSI</italic> locus in potato, which could eventually be used for controlling amylose content in the tubers.</p>
<p>Traditional methods of inducing mutations become especially difficult in polyploid species because they possess more than two copies of a gene. Base editing has successfully generated heritable substitutions in polyploid species such as oilseed rape, wheat, and cotton. <xref ref-type="bibr" rid="B44">Hu et al. (2020)</xref> used BnA3A1-PBE in rapeseed and demonstrated an editing efficiency of up to 50.5%, much higher than 23.6% reported by <xref ref-type="bibr" rid="B18">Cheng et al. (2021)</xref> and 1.8% by <xref ref-type="bibr" rid="B168">Wu et al. (2020)</xref>. <xref ref-type="bibr" rid="B204">Li et al. (2018)</xref> demonstrated slight success (0.1%&#x2013;1.1%) of <italic>PABE</italic> 1&#x2013;7 in affecting A to G transitions in the <italic>TaDEP1</italic> and <italic>TaGW2</italic> wheat loci.</p>
<p>It is quite evident that this technology has immense potential, and once the challenges of discovering more efficient, PAM-independent DNA-binding proteins, better deaminases that can affect cleaner edits with zero off-targets, and engineering all possible substitutions are found, base editing can create a revolution in the field of plant sciences in general and crop improvement in particular.</p>
</sec>
</sec>
<sec id="s7-5">
<title>7.5 Prime editing</title>
<p>Prime editing marks the fifth phase of evolution in GE platforms. The technique was first developed and standardized in human cells. Prime editing facilitates indels and all 12 possible base-to-base conversions, including transversions and transitions, without triggering the error-prone repair pathways by the DSB (<xref ref-type="bibr" rid="B4">Anzalone et al., 2019</xref>). Briefly, in this technique, paired/coupled prime editing guide RNA (pegRNA) is composed of single gRNA that is complementary to the one strand of the targeted DNA along with a primer-binding site (PBS), and the customized sequences to be replaced at the target site fused with Cas9 nickase are also present (<xref ref-type="bibr" rid="B69">Kumar et al., 2021</xref>). The PBS region primes to the second DNA strand to drive reverse transcriptase (RT) linked with the Cas9 nickase. RT transcribes and, in the process, copies the information straightaway from pegRNA into the intended target site. Following this, 5&#x2032; and 3&#x2019; are the single-stranded overhangs integrated into the genomic DNA <italic>via</italic> endogenous DNA repair mechanisms (<xref ref-type="bibr" rid="B4">Anzalone et al., 2019</xref>).</p>
<p>Research has successfully validated three generations of primer editors (PEs), PE1, PE2, and PE3, in humans so far. In PE1, the first-generation PEs, wild-type reverse transcriptase from commercial Moloney murine leukemia virus (M-MLV) fused to the C terminus of the Cas9 (H840A) nickase was used, triggered by the expression of pegRNA in a distinct plasmid. As mentioned earlier, pegRNA harbors a spacer sequence to recognize and bind to the intended target site. In addition, pegRNA carries an 8&#x2013;15&#xa0;nt of PBS and a template sequence to drive RT. However, the template sequence also contains a customized, altered DNA sequence to be incorporated at the intended site. The efficiency of this PE is largely determined by PBS length. Generally, 8&#x2013;16&#xa0;nt PBS length has been found to deliver results with increased efficiency (<xref ref-type="bibr" rid="B4">Anzalone et al., 2019</xref>). In an attempt to further increase the efficiency of this PE, numerous variants of M-MLV RT have been used. These variants were generated by inducing mutations in M-MLV RT. These mutations were found to alter processivity, thermostability, RNaseH activity, and DNA&#x2013;RNA substrate affinity. In developing second-generation prime editors, PE2 an RT with five mutations (D200N, L603W, T330P, T306K, and W313F), when fused with the nickase, was found to increase the efficiency of the GE by 1.6&#x2013;5.1 fold (<xref ref-type="bibr" rid="B143">Sretenovic and Qi 2022</xref>). The use of PE2 was found to hinder the efficiency primarily due to two factors. Firstly, the choice of single-stranded overhangs called &#x201c;flaps&#x201d; between unedited and edited to be paired with the native unmodified DNA strand. Secondly, choosing DNA strands as a template for DNA repair between unedited and edited was rather random (<xref ref-type="bibr" rid="B35">Gaudelli et al., 2017</xref>; <xref ref-type="bibr" rid="B143">Sretenovic and Qi, 2022</xref>). Many studies have shown that the introduction of nick in the unmodified strand enhanced the editing efficiency in both plants and animal cells (<xref ref-type="bibr" rid="B66">Komor et al., 2016</xref>; <xref ref-type="bibr" rid="B35">Gaudelli et al., 2017</xref>; <xref ref-type="bibr" rid="B191">Zong et al., 2017</xref>). Hence, to generate third-generation prime editors, PE3, nickase employed was used with an additional sgRNA to simultaneously nick the other complementary strand (<xref ref-type="bibr" rid="B4">Anzalone et al., 2019</xref>). This strategy enhanced the editing efficiency to introduce point mutations three-fold (<xref ref-type="bibr" rid="B4">Anzalone et al., 2019</xref>). With the use of the same protospacer, off-target instances were found much lower for PEs in comparison to the use of Cas9 (<xref ref-type="bibr" rid="B54">Jiang et al., 2021</xref>; <xref ref-type="bibr" rid="B53">Jiang et al., 2022</xref>). The increased efficiency of the prime editor is attributed to multiple DNA hybridization events that occur with the use of PEs. At first, the intended genomic DNA and spacer of the pegRNA hybridize. Next, hybridization occurs between the target sequence in the genomic DNA and the PBS of the pegRNA, adding to the sequence specificity of the system. Finally, the target DNA also hybridizes with the edited DNA, which further adds another layer of sequence specificity to the system (<xref ref-type="bibr" rid="B54">Jiang et al., 2021</xref>; <xref ref-type="bibr" rid="B53">Jiang et al., 2022</xref>). On the contrary, in a regular CRISPR/Cas9 system, only one step of hybridization occurs between the sgRNA and the target genomic DNA occurs (<xref ref-type="bibr" rid="B53">Jiang et al., 2022</xref>; <xref ref-type="bibr" rid="B214">Zhuang et al., 2022</xref>). <xref ref-type="fig" rid="F4">Figure 4</xref> presents a schematic representation of the working mechanism of the prime editing methodology that has been employed for GE.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Diagrammatic representation of the Prime editing. sgRNA: single-guide RNA; Cas9n: Cas9 nickase; PAM: protospacer adjacent motif; PBS: primer binding site; RT: reverse transcriptase; pegRNA: prime editing guide RNA; PE: prime editor (adapted from <xref ref-type="bibr" rid="B199">Hassan et al. 2020</xref>).</p>
</caption>
<graphic xlink:href="fgene-13-876987-g004.tif"/>
</fig>
<p>The success of prime editing protocols hinges on optimizing critical parameters such as transformation system, selection of suitable vectors, design of prime editor cassettes (nuclease/nickase), structure/sequence of, for example, pegRNA, sgRNA, codon optimization of the vector constructs, promoters, use of novel/engineered endonuclease, ribozymes, reverse transcriptase, targeted genes, and method/s of detection. <italic>Agrobacterium</italic>-mediated transformation and floral dip agroinfiltration are the preferred modes of gene transfer as single copy inserts are efficiently achieved. However, other methods such as electroporation, PEG-mediated gene uptake, microinjection, and particle bombardment have been tested in different plants and are now expanding rapidly to include monocots (rice and maize), dicots (<italic>Arabidopsis</italic>, <italic>Nicotiana benthamiana</italic>, potato, and tomato), and even the bryophyte, <italic>Physcomitrium patens</italic> (<xref ref-type="bibr" rid="B119">Perroud et al., 2022</xref>) that is well known for incorporating DNA into specific genomic sites due to its innately high frequencies of homologous recombination (<xref ref-type="bibr" rid="B208">Rensing et al., 2020</xref>).</p>
<p>Researchers have been experimenting extensively with the precise modeling of the molecular tool kit for high efficiency and specificity in several plants. As mentioned earlier, three versions of prime editors (PE1, PE2, and PE3) have been tested since 2019 in human and plant cells. The versions vary in the use of nickase, type of reverse transcriptase, position (C terminal or N-terminal fusion with nickase), length of the prime binding site, and types of editing predicted (<xref ref-type="bibr" rid="B53">Jiang et al., 2022</xref>). Promoters driving the expression of the prime editor apoprotein and the gRNAs play an important role in the overall scheme of prime editing in taxa and target gene of choice (<xref ref-type="bibr" rid="B143">Sretenovic and Qi 2022</xref>). Target sites have been categorized as type I and type II based on the position of the edit concerning the nicking site. If the edit is within 1&#x2013;6&#xa0;bp downstream of the pegRNA nicking site, then higher editing efficiencies are observed compared to the type II targets, where the targeted edit position(s) are 7&#x2013;17&#xa0;bp downstream of the pegRNA nicking site (<xref ref-type="bibr" rid="B143">Sretenovic and Qi, 2022</xref>). The editing efficiencies of the same vectors thus vary with the target genes. This was reported in rice, where the prime editor Sp-PE3 and gRNA were successful in introducing an S627N mutation in the endogenous <italic>ALS</italic> (acetolactate synthase) but were unsuccessful in editing the <italic>APO1</italic> (aberrant panicle organization) gene (<xref ref-type="bibr" rid="B46">Hua et al., 2020a</xref>). It was also successfully induced and present in regenerants. Three endogenous genes (<italic>GAI</italic>, <italic>ALS2</italic>, and <italic>PDS1</italic>) from tomato were tested for prime editing by PE3 strategy using an optimized prime editor. Prime editing frequencies of 0.025%&#x2013;1.66% were observed in four pegRNAs out of seven tested, comparable to rice editing frequencies (<xref ref-type="bibr" rid="B101">Lu et al., 2020</xref>). Three genes (<italic>OsPDS</italic>, <italic>OsACC1</italic>, and <italic>OsWx</italic>) were used as targets to test the pPE2 system. Using the t-RNA processing strategy was also used to target a rice endogenous 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) gene (<italic>OsEPSPS</italic>) for prime editing to confer glyphosate resistance. A peg RNA with gRNA (59&#xa0;bp RT, 13&#xa0;nt PBS) and a second gRNA with the ability to nick at position 66 downstream were synthesized that could introduce triple mutations. For this gene-editing, the prime editing efficiency was 2.22% with both homozygous and heterozygous lines in rice (<xref ref-type="bibr" rid="B79">Li et al., 2020c</xref>). The pPPEM construct was tested in rice protoplasts, targeting gene <italic>OsSULTR3</italic>, six&#xa0;at two different edits for the bacterial leaf streak disease susceptibility. The editing efficiencies ranged from 0.7 to 2.2%. Besides editing endogenous genes, editing the transgenic reporter gene&#x2014;fluorescent protein gene <italic>EGFP</italic> by SpPE2, SpPE3, and SaPE3&#x2014;was tested in rice calli. The inactive insert was edited to active form successfully by SpPE3 at higher efficiencies than SpPE2, and none were observed with SaPE3, even though Sa compatible Cas9 and pegRNAs are required for efficient editing.</p>
<p>The prime-editing gRNAs of diverse structures with varied PBS and RT lengths and nicking position of gRNAs have also been reported to affect the prime editing efficiency (<xref ref-type="bibr" rid="B172">Xu et al., 2020</xref>; <xref ref-type="bibr" rid="B46">Hua et al., 2020a</xref>; <xref ref-type="bibr" rid="B149">Tang et al., 2020</xref>; <xref ref-type="bibr" rid="B11">Butt et al., 2020</xref>). Optimization of the melting temperature (Tm) of the PBS to around 30&#xb0;C coupled with a dual-pegRNA strategy in plants (<xref ref-type="bibr" rid="B92">Lin et al., 2020</xref>) drastically increased the editing efficiencies by 17-fold in rice protoplasts, although stable expression and transmission of the edits remain to be seen. Inclusion of the t-RNA processing system (<xref ref-type="bibr" rid="B170">Xie et al., 2015</xref>) allows for the generation of multiple gRNAs that allow for &#x201c;multiplex GE.&#x201d;</p>
<p>Detection of editing relies on the rates of transformation coupled with the rate of editing. Several studies have reported the co-transfection of T-DNA-containing vectors with the transgene and the PE vectors harboring the editor and the edit. The targeted sites are usually PCR amplified from the genomic DNA isolated from transformed plants and sequenced to identify the edits. Most researchers have done Sanger&#x2019;s sequencing, although the HRM-High Resolution Melting analysis has been included before sequencing by <xref ref-type="bibr" rid="B119">Perroud et al. (2022)</xref>. Hi-TOM (high-throughput tracking of mutations) was used by <xref ref-type="bibr" rid="B211">Xu et al. (2022)</xref> in maize and rice.</p>
<p>Different selection and counter-selection strategies have been tested for the selection of transformed/edited cells. <xref ref-type="bibr" rid="B119">Perroud et al. (2022)</xref> have tested the use of APT/APRT (adenine phosphoribosyl transferase) enzyme that catalyzes the conversion of adenine to AMP in <italic>Physcomitrium</italic>. This enzyme can convert 2-fluoroadenine (2FA) supplemented in the culture medium into a toxic 2-fluoro AMP counter selective compound. Thus, if the editing vectors are successful, the APRT is mutated and the cells can grow and regenerate into plants on the 2FA medium. The DNA from these plants is further analyzed to detect edited sequences. In potato, the widely used acetolactate synthase (ALS) has been used for selection. ALS confers resistance to several herbicides, particularly chlorsulfuron, and the specific amino acid change in StALS Pro-187/186 to serine was targeted. In addition, the primary selection of transgenics was on kanamycin. A PE-PE2 system was designed by fusing hygromycin phosphotransferase (Hpt) to the C-terminus of the nSpCas9-M-MLV region with P2A, a self-cleaving 2A peptide, driven by Ubiquitin promoter of maize. PE-PE2 increased the editing efficiency by about threefold for three pegRNAs and gave improved editing frequencies (<xref ref-type="bibr" rid="B119">Perroud et al., 2022</xref>).</p>
<p>The ability to introduce both transversions and transitions is by far the most significant attribute of prime editing technology. In addition, PEs have been found to successfully introduce insertions, deletions, transitions, and transversions (<xref ref-type="bibr" rid="B4">Anzalone et al., 2019</xref>). <xref ref-type="bibr" rid="B119">Perroud et al. (2022)</xref> reported that 0.06% of transformed protoplasts of <italic>Physcomitrium</italic> were edited, which is less than the standard Cas9 mediated and base editing mutagenic strategies. However, the edit&#x2019;s specificity is higher than CRISPR/Cas systems, and off-targets are few or none. Substitutions, insertions, and deletions have been observed in the different taxa using the varied versions of prime editors.</p>
<p>The editing efficiency was similar in PE2- and PE3-based vectors in <italic>Physcomitrium</italic>, whereas in potato, same PE3 constructs failed to edit the <italic>ALS</italic> gene, which could be edited by PE2-based vectors albeit at low frequencies. In rice, editing efficiencies were between 1.55% and 31.3% (<xref ref-type="bibr" rid="B47">Hua et al., 2020b</xref>; <xref ref-type="bibr" rid="B11">Butt et al., 2020</xref>; <xref ref-type="bibr" rid="B80">Li et al., 2020d</xref>; <xref ref-type="bibr" rid="B92">Lin et al., 2020</xref>; <xref ref-type="bibr" rid="B149">Tang et al., 2020</xref>; <xref ref-type="bibr" rid="B172">Xu et al., 2020</xref>). The editing efficiencies ranged from 0.7% to 2.2%. Overall, the PE3 strategies were less efficient in plant cells than animal cells. However, further modifications and adaptation of the technique would standardize prime editing for more crop systems. <xref ref-type="bibr" rid="B167">Wang et al. (2021)</xref> have reported insertion of up to 66 bases in <italic>Arabidopsis</italic> protoplasts, which is a four-fold increase over the 15-base insertion reported in rice. For prime editing in dicots and monocots, easy-use vectors on PE2 and PE3 strategies have been created, named pPPED and pPPEM (<xref ref-type="bibr" rid="B167">Wang et al., 2021</xref>). They have designed a pPEG cassette for insertion of peg RNA or sgRNA, and then pPEG is inserted in the vectors PPEM or PPED. The pPPED vector was targeted in <italic>Arabidopsis</italic>. Editing efficiency is thus influenced by the length of reverse transcriptase and primer-binding site in the designed pegRNAs and sgRNAs.</p>
<p>In addition to the biological parameters (plant taxa, molecular toolkit, transformation, and regeneration system), the physical temperature parameter has a profound impact on the editing frequencies. Because the efficiency of the M-MLV reverse transcriptase is enhanced at higher temperatures, 32&#xb0;C and 37&#xb0;C were tested, but no significant differences were reported. However, the temperature variations were also tried in prime editing (PPE) systems at 26&#xb0;C and 37&#xb0;C in rice, giving significantly higher editing activity at 37&#xb0;C (<xref ref-type="bibr" rid="B92">Lin et al., 2020</xref>).</p>
<p>In summary, the modifications in the design of constructs, particularly to avoid by-products resulting from the scaffold of the pegRNAs and reduction of off-targets, have been found to increase the editing efficiencies. <xref ref-type="bibr" rid="B197">Gao (2015)</xref> suggested the shift from a knock-out strategy to a knock-in strategy by employing the homologous recombination process of DNA repair to increase targeted mutagenesis. This has been incorporated as a key attribute in the prime editing technology. Among the diverse strategies designed to achieve targeted mutagenesis, prime editing is a landmark advancement in methods achieving increased efficiency and reduced off-target effects. This method, for the first time, presented an efficient strategy to introduce all the 12-point mutations. With the availability of many diverse vectors (editors and pegRNAs) developed by the different research groups and web-based design algorithms available (Peg-finder, PE-Designer /PE-Analyzer, pegIT, PrimeDesign, and PlantPegDesigner), the deployment of this technique is at the threshold of revolutionizing precision breeding of crop plants. As most of the genes of importance rely on altering a few and specific nucleotide changes to confer traits rather than large-scale alteration of genes, prime editing presents an opportunity to drive the development of gene editing platforms that are precise, effective, and elegant.</p>
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</sec>
<sec id="s8">
<title>8 Conclusion</title>
<p>Under the scenario of ever-rising food demands and climate change, there is tremendous pressure on scientists and breeders to speed up the development of climate-resilient-high-yielding cultivars. The application of molecular breeding approaches has achieved great success in accelerating performance gains in various crops in the past decade. However, the need of the hour is to integrate new biotechnological methods and technologies in the existing breeding programs to further realize genetic gains. The unprecedented advances made in GE technologies have shown great potential in genetic enhancement and boosting crop production. This review highlights how newly evolved CRISPR/Cas systems have successfully brought about a paradigm shift in crop improvement programs. There has been a significant advancement in understanding the functions of gene complexes underpinning complex traits, which was extremely daunting using the existing gene discovery approaches. The efficient use of GE tools in manipulating complex traits, especially in polyploid crops, has now become feasible, especially when used in combination with the next-generation sequencing platforms.</p>
<p>Despite the substantial deployment of the CRISPR/Cas platform in developing crops with desired traits, studies demonstrating the translation of the laboratory-based results into the field have been anecdotal. In addition to being relevant at the genome level, the improved traits must also be realized in the field without any trade-offs or counter effects on other traits of importance. Additionally, any genome strategy developed should pose no threat to the environment and should be able to reduce the application of pesticides and fertilizers. One of the major challenges in developing cultivars by the GE route is rooted in low transformation and regeneration efficiencies. Numerous agronomically important crops such as sunflower, cotton, and many others either have long transformation protocols with low efficiencies or are outrightly recalcitrant. In addition, in crops where transformation protocols have been established, regeneration efficiencies remain low, making the application of GE strategies challenging.</p>
<p>Furthermore, public acceptance of GE-modified crops has not come of age yet. A common misconception about these crops adversely affecting health and the environment has led many farmers to avoid reaping benefits from growing these crop cultivars. This bias automatically trickles down to the consumers and, in turn, results in limited acceptance of these crops for public consumption. Therefore, we believe, scientists across the globe need to ensure a healthy flow of information using present-day outreach tools, including social media, to educate the consumers about the differences between transgenic approaches and the risks and benefits of using modern GE-modified crops.</p>
<p>Although GE platforms are radically different, precise, and superior to traditional transgenic approaches, at the moment, these methods still go through governmental scrutiny and assessment in many countries. Nonetheless, in the foreseeable future, new-age GE platforms in plants are contemplated to be employed as a tool for efficiently engineering the majority of crop plants. We expect and hope that these methods can be integrated into breeding programs globally with relatively lesser regulatory procedures compared to conventional transgenic approaches. The development of these measures will need comparable attention and consistent research efforts to continually assess developed crop varieties on various climatic and genomic parameters, especially in our present-day rapidly changing climate and pest pressure.</p>
</sec>
<sec id="s9">
<title>9 Future directions</title>
<p>The evolution of various GE platforms has made it possible for molecular biologists to precisely target gene(s) of interest. Primarily, only CRISPR/Cas has been used for gene editing. Only recently, techniques such as epigenome editing, prime editing, and base editing have been used for gene editing. These techniques are powerful alternative strategies that have been developed for gene editing in plants. However, glaring challenges still exist that continue to impede the goals of achieving sustainable crop production. These challenges stem from the complexity of both endogenous and exogenous cues in plant development, making it nearly impossible for any single GE platform to deliver efficiently. Present-day advances in GE protocols need to be primed toward generating platforms that are more precise, efficient, accurate, and, most importantly, feasible. At first, no off-target silencing should result from using these methods. Secondly, the delivery and results obtained in crop plants should not vary from species to species. In addition, the genomic changes should be traceable in future generations with precision and also remain feasible with respect to cost and labor. Lastly, at present, we need more dynamic regulatory measures in place to ease the development and use of these platforms in crop improvement programs.</p>
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</body>
<back>
<sec id="s10">
<title>Author contributions</title>
<p>VRR conceptualized and finalized the manuscript. PD, DS, SV, AS, AC and VRR participated in preparing and curating the manuscript and the revision. PD, SNR, and VRR helped in preparing and finalizing the draft of the MS. All authors read and approved the MS.</p>
</sec>
<sec sec-type="COI-statement" id="s11">
<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>
<p>The reviewer KP declared a shared affiliation with the author(s) AC, VRR to the handling editor at the time of review.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<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>
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