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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">880195</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2022.880195</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>Advances in Crop Breeding Through Precision Genome Editing</article-title>
<alt-title alt-title-type="left-running-head">Nerkar et al.</alt-title>
<alt-title alt-title-type="right-running-head">Precision Genome Editing in Crops</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Nerkar</surname>
<given-names>Gauri</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/858107/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Devarumath</surname>
<given-names>Suman</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Purankar</surname>
<given-names>Madhavi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kumar</surname>
<given-names>Atul</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Valarmathi</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Devarumath</surname>
<given-names>Rachayya</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Appunu</surname>
<given-names>C.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Molecular Biology and Genetic Engineering Laboratory</institution>, <institution>Vasantdada Sugar Institute</institution>, <addr-line>Pune</addr-line>, <country>India</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Vidya Pratishthan&#x2019;s College of Agricultural Biotechnology</institution>, <addr-line>Baramati</addr-line>, <country>India</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>ICAR-Sugarcane Breeding Institute</institution>, <addr-line>Coimbatore</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/154607/overview">Ravi Valluru</ext-link>, University of Lincoln, United Kingdom</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/1279822/overview">Kalenahalli Yogendra</ext-link>, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), India</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1487614/overview">Sajid Fiaz</ext-link>, The University of Haripur, Pakistan</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Rachayya Devarumath, <email>rdevarumath@gmail.com</email>; C. Appunu, <email>cappunu@gmail.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>14</day>
<month>07</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>880195</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>05</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Nerkar, Devarumath, Purankar, Kumar, Valarmathi, Devarumath and Appunu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Nerkar, Devarumath, Purankar, Kumar, Valarmathi, Devarumath and Appunu</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>The global climate change and unfavourable abiotic and biotic factors are limiting agricultural productivity and therefore intensifying the challenges for crop scientists to meet the rising demand for global food supply. The introduction of applied genetics to agriculture through plant breeding facilitated the development of hybrid varieties with improved crop productivity. However, the development of new varieties with the existing gene pools poses a challenge for crop breeders. Genetic engineering holds the potential to broaden genetic diversity by the introduction of new genes into crops. But the random insertion of foreign DNA into the plant&#x2019;s nuclear genome often leads to transgene silencing. Recent advances in the field of plant breeding include the development of a new breeding technique called genome editing. Genome editing technologies have emerged as powerful tools to precisely modify the crop genomes at specific sites in the genome, which has been the longstanding goal of plant breeders. The precise modification of the target genome, the absence of foreign DNA in the genome-edited plants, and the faster and cheaper method of genome modification are the remarkable features of the genome-editing technology that have resulted in its widespread application in crop breeding in less than a decade. This review focuses on the advances in crop breeding through precision genome editing. This review includes: an overview of the different breeding approaches for crop improvement; genome editing tools and their mechanism of action and application of the most widely used genome editing technology, CRISPR/Cas9, for crop improvement especially for agronomic traits such as disease resistance, abiotic stress tolerance, herbicide tolerance, yield and quality improvement, reduction of anti-nutrients, and improved shelf life; and an update on the regulatory approval of the genome-edited crops. This review also throws a light on development of high-yielding climate-resilient crops through precision genome editing.</p>
</abstract>
<kwd-group>
<kwd>Genome editing</kwd>
<kwd>crop breeding</kwd>
<kwd>new breeding techniques</kwd>
<kwd>CRISPR</kwd>
<kwd>disease resistance</kwd>
<kwd>abiotic stress tolerance</kwd>
<kwd>biofortification</kwd>
<kwd>climate-resilient crops</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The global climate change has a direct impact on the food security, agriculture, crop production and plant health (<xref ref-type="bibr" rid="B108">Tirado et al., 2010</xref>). According to the world population data sheet 2020, the world population is projected to increase from 7.8 billion in 2020 to 9.9 billion by 2050. Global cropland area per capita has decreased continuously from about 0.45&#xa0;ha per capita in 1961 to 0.21&#xa0;ha per capita in 2016 (<ext-link ext-link-type="uri" xlink:href="https://www.fao.org">https://www.fao.org</ext-link>). Further, the available area for cultivation is degraded due to various factors such as loss of agricultural land to non-agricultural uses, intensive use of land for cultivation through multiple cropping, reduction in fallow periods, excessive use of agrochemicals, and spread of monocultures (<xref ref-type="bibr" rid="B2">Alexandratos and Bruinsma, 2012</xref>). These factors undermine the long-term productive potential of the available cultivable land. Thus, on one hand when the global demand for food is increasing, there is a decline in the availability of the cultivable land for the production of food crops. <xref ref-type="table" rid="T1">Table 1</xref> lists the important crops for food security and comparison of their global production during 2016&#x2013;17 and 2021&#x2013;22 (data accessed from: <ext-link ext-link-type="uri" xlink:href="http://www.fao.org/faostat/en/">http://www.fao.org/faostat/en/&#x23;home</ext-link>). This data show that the harvested area for the most grown crops of the world has remained fairly constant over the past 5&#xa0;years and there is also a slight increase in the yield and production of these crops. Increasing the crop productivity in the face of the global climate change is therefore most important challenge in front of the crop breeders. The other important factors that limit the agricultural productivity are limited water availability and irrigation, declining soil fertility, untimely rainfall, high temperature, pests and pathogens (<xref ref-type="bibr" rid="B103">Singh et al., 2020</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Global production of top 10 crops essential for food security ranked based on their global harvested area.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Rank based on Harvested area</th>
<th rowspan="2" align="center">Crop</th>
<th colspan="2" align="center">Harvested area (million hectares)</th>
<th colspan="2" align="center">Production (million metric tons)</th>
<th colspan="2" align="center">Yield (metric tons per hectare)</th>
</tr>
<tr>
<th align="center">2016&#x2013;17</th>
<th align="center">2021&#x2013;22</th>
<th align="center">2016&#x2013;17</th>
<th align="center">2021&#x2013;22</th>
<th align="center">2016&#x2013;17</th>
<th align="center">2021&#x2013;22</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">Wheat</td>
<td align="char" char=".">222.11</td>
<td align="char" char=".">222.11</td>
<td align="center">753.09</td>
<td align="center">778.6</td>
<td align="char" char=".">3.39</td>
<td align="char" char=".">3.51</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">Maize</td>
<td align="char" char=".">183.06</td>
<td align="char" char=".">203.89</td>
<td align="center">1,065.11</td>
<td align="center">1,210.45</td>
<td align="char" char=".">5.82</td>
<td align="char" char=".">5.94</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">Rice</td>
<td align="char" char=".">161.48</td>
<td align="char" char=".">166.47</td>
<td align="center">481.54</td>
<td align="center">513.03</td>
<td align="char" char=".">4.45</td>
<td align="char" char=".">4.60</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">Soybean</td>
<td align="char" char=".">121.11</td>
<td align="char" char=".">130.10</td>
<td align="center">348.04</td>
<td align="center">350.72</td>
<td align="char" char=".">2.87</td>
<td align="char" char=".">2.70</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">Barley</td>
<td align="char" char=".">48.21</td>
<td align="char" char=".">48.48</td>
<td align="center">147.04</td>
<td align="center">145.10</td>
<td align="char" char=".">3.05</td>
<td align="char" char=".">2.99</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">Sorghum</td>
<td align="char" char=".">41.82</td>
<td align="char" char=".">41.75</td>
<td align="center">63.18</td>
<td align="center">65.59</td>
<td align="char" char=".">1.51</td>
<td align="char" char=".">1.57</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">Rapeseed</td>
<td align="char" char=".">33.65</td>
<td align="char" char=".">37.73</td>
<td align="center">68.86</td>
<td align="center">71.18</td>
<td align="char" char=".">2.05</td>
<td align="char" char=".">1.89</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">Cottonseed</td>
<td align="char" char=".">28.62</td>
<td align="char" char=".">31.52</td>
<td align="center">38.70</td>
<td align="center">43.47</td>
<td align="char" char=".">1.35</td>
<td align="char" char=".">1.38</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">Cotton</td>
<td align="char" char=".">29.44</td>
<td align="char" char=".">32.07</td>
<td align="center">105.88</td>
<td align="center">120.20</td>
<td align="char" char=".">783</td>
<td align="char" char=".">816</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">Peanut</td>
<td align="char" char=".">26.15</td>
<td align="char" char=".">29.65</td>
<td align="center">42.34</td>
<td align="center">50.60</td>
<td align="char" char=".">1.66</td>
<td align="char" char=".">1.71</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The current efforts are focused on increasing the crop productivity without using pesticides and fertilizers. Conventional breeding programs are often laborious, time-consuming and difficult. Genetic engineering has greatly simplified the process of development of novel and improved varieties with better agronomic traits like disease resistance, abiotic stress tolerance, a better shelf life as well as improved crop productivity (<xref ref-type="bibr" rid="B79">Nerkar G. et al., 2018</xref>). The recent emergence of the novel plant breeding technologies like genome editing has opened up new doors for precise modification of the plant genomes without the introduction of foreign DNA (<xref ref-type="bibr" rid="B5">Altpeter et al., 2016</xref>). Their successful application in the development of elite germplasm, with high yield, quality, and resistance against biotic and abiotic stresses appears promising (<xref ref-type="bibr" rid="B35">Fiaz et al., 2020</xref>). Therefore, there is an urgent need to utilize these technologies for the development of novel and improved crop varieties to overcome the difficulties faced in the conventional breeding programs (<xref ref-type="bibr" rid="B32">Fiaz et al., 2021a</xref>).</p>
<p>Genome editing can facilitate genome modification by creating precise changes at specific sites of the genome and the reagents used in this process can be delivered into the cell without incorporating DNA into the genome (<xref ref-type="bibr" rid="B133">Zhang et al., 2016</xref>; <xref ref-type="bibr" rid="B10">Bandyopadhyay et al., 2020</xref>; <xref ref-type="bibr" rid="B71">Ma et al., 2020</xref>). The mutations resulting from genome editing are similar to those occurring in nature which potentially simplifies their regulation, unlike the traditional GMO crops. Another remarkable feature of this technology is that it creates inheritable mutations in the genome with a low probability of generating off-targets. Genome editing creates DNA modifications such as deletions, insertions, single nucleotide substitution (SNPs), and large fragment substitution. The site-specific nucleases (SSNs) that bring about nucleotide excision are: engineered homing endonucleases or mega-nucleases (MNs) (<xref ref-type="bibr" rid="B104">Smith et al., 2006</xref>), Zinc-Finger Nucleases (<xref ref-type="bibr" rid="B55">Kim et al., 1996</xref>), transcription activator like effector nucleases (TALENs) (<xref ref-type="bibr" rid="B23">Christian et al., 2010</xref>), and CRISPR-associated protein (Cas) (<xref ref-type="bibr" rid="B52">Jinek et al., 2012</xref>).</p>
<p>The site specific nucleases create double-stranded breaks (DSBs) in the genome. The era of precise genome editing in plants began with the discovery of I&#x2013;SceI induced DSBs that enhanced homologous recombination in plants (<xref ref-type="bibr" rid="B87">Puchta et al., 1993</xref>). SSNs are programmed to recognize the preselected genomic sites and they make use of cellular DSB repair mechanisms such as non-homologous end joining (NHEJ) or homology-directed repair (HDR) (<xref ref-type="fig" rid="F1">Figure 1</xref>). In NHEJ, a gene is rendered non-functional by random insertion or deletion of DNA at the cut site before reattaching of the free DNA ends (<xref ref-type="bibr" rid="B88">Puchta 2005</xref>). HDR involves addition of a Donor DNA of choice which is homologous to the site of the break. Cells use this as a patch to repair the DNA (<xref ref-type="bibr" rid="B39">Haber 2000</xref>) (<xref ref-type="fig" rid="F1">Figure 1</xref>). Using the HDR pathway, scientists can introduce a new gene with vital function or correct a mutation by replacing the mutated sequence with a healthy sequence (<xref ref-type="bibr" rid="B105">Symington and Gautier 2011</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The two major DNA repair mechanisms for repairing the double-stranded breaks (DSB) generated by SSNs (ZFN, TALEN, CRISPR/Cas9): In the absence of a donor template the DSB repair occurs by the non-homologous end joining (NHEJ) pathway. Ku, a dimeric protein complex binds to the DNA DSBs and heals broken ends of chromosomes generating small deletions (dotted <italic>red lines</italic>) and/or insertions (<italic>continuous red lines</italic>). This process is erroneous and can generate indels of variable length at the target site. In the presence of a donor template, homologous to the site of DSB, DSB repair occurs by homology-directed repair (HDR) pathway. HDR is less error prone compared to NHEJ and ensures precise modifications at the target site through recombination of the target locus with the donor template.</p>
</caption>
<graphic xlink:href="fgene-13-880195-g001.tif"/>
</fig>
<p>The global food security is largely affected by the changing climatic conditions, significant yield gaps between the actual yield and the potential yield, decrease in the number of farmers, lack of transportation infrastructure, post-harvest losses due to low shelf life of crops (<xref ref-type="bibr" rid="B72">Mackelprang and Lemaux, 2020</xref>; <xref ref-type="bibr" rid="B34">Fiaz and Wang, 2021c</xref>). Precision genome editing can help in addressing these problems by generating plants with sufficient yields in spite of changing climatic conditions. The crop varieties which remain underutilized due to low yields, high disease susceptibility can be made more resilient using genome editing. They can make specific plants a source of essential nutrients that are lacking in the diets of some populations.</p>
<p>Crop breeding has been greatly accelerated after the introduction of genome editing tools. Therefore, there is an urgent need to review the advances in crop breeding through precision genome editing. Here, we provide an overview of the different breeding approaches for crop improvement; genome editing tools and approaches used for crop improvement; agronomic traits such as disease resistance, abiotic stress tolerance, herbicide tolerance, yield and quality improvement, reduction of anti-nutrients, improved shelf life and an update on the regulatory approval of the genome-edited crops.</p>
</sec>
<sec id="s2">
<title>Mechanism of Action of Different Genome Editing Technologies Used for Crop Improvement</title>
<p>Meganucleases have the target sites of up to 18&#xa0;bp (<xref ref-type="bibr" rid="B104">Smith et al., 2006</xref>). ZFNs have a non-specific <italic>Fok</italic>I endonuclease domain combining with multiple zinc-finger DNA-binding domains that recognize a 3&#xa0;bp module (<xref ref-type="bibr" rid="B55">Kim et al., 1996</xref>). TALENs consist of a <italic>Fok</italic>I endonuclease domain which pairs with multiple transcription activator-like effector domains that recognize single base pairs (<xref ref-type="bibr" rid="B23">Christian et al., 2010</xref>). TALENs have been widely applied in genome editing of crops, owing to their higher target binding specificity and generation of lesser number of off-targets compared with ZFNs (<xref ref-type="bibr" rid="B70">Liu et al., 2021</xref>).</p>
<p>In bacteria and archaea, Clustered Regularly Interspaced Palindromic Repeats (CRISPR) in combination with Cas (CRISPR associated) proteins form an adaptive immune system (<xref ref-type="bibr" rid="B74">Mohanraju et al., 2016</xref>). CRISPR-Cas immune systems consist of three distinct stages <italic>viz.</italic> adaptation, during which the short DNA fragments (spacers) from invading viruses and plasmids are recognized and acquired, processed and integrated into the CRISPR locus (<xref ref-type="bibr" rid="B47">Jackson et al., 2017</xref>); transcription during which the transcription of CRISPR locus to a long pre-CRISPR RNA (pre-crRNA) and the maturation of pre-crRNA to crRNA (guide RNA) occur (<xref ref-type="bibr" rid="B20">Charpentier et al., 2015</xref>); and finally interference in which the complementary target DNA sequences are recognized by Cas effector nucleases using the guide RNA. Consequent to the recognition of the target DNA, Cas effectors bind to the target DNA and generate a double-stranded DNA break (DSB) (<xref ref-type="bibr" rid="B52">Jinek et al., 2012</xref>).</p>
<p>There are six primary types of the CRISPR-Cas systems. Types I, III, and IV are characterized by multi-subunit effector complexes, while types II, V, and VI consist of single-subunit effector (<xref ref-type="bibr" rid="B58">Koonin et al., 2017</xref>; <xref ref-type="bibr" rid="B101">Shmakov et al., 2017</xref>). The class 2, type II clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9 (CRISPR-associated) system from <italic>Streptococcus pyogenes</italic> is the ground-breaking technology for genome editing discovered around a decade ago, which is based on RNA-guided engineered nucleases (<xref ref-type="bibr" rid="B52">Jinek et al., 2012</xref>). While Meganucleases, ZFNs and TALENs recognize their sequence targets through protein/DNA interactions, CRISPR/Cas9 achieves targeting through a guide RNA (sgRNA). sgRNAs are short nucleotide sequences (&#x223c;20&#xa0;nt) with a specific sequence that can target the genomic sequence of interest. The Cas9 nuclease then cleaves the resulting RNA/DNA complex. Consequently, a DSB is created at the target site containing a conserved protospacer adjacent motif (PAM). The repair occurs by NHEJ which creating indels in the protein-coding regions causing frameshift or knock-down of the desired genes (<xref ref-type="bibr" rid="B12">Basso et al., 2020</xref>). The simplicity of DNA targeting through base-pairing has led to the quick and broad adoption of CRIPSR/Cas9 reagents for genome editing (<xref ref-type="bibr" rid="B1">Ahmar et al., 2021</xref>; <xref ref-type="bibr" rid="B70">Liu et al., 2021</xref>). The most widely used Cas9 is derived from <italic>Streptococcus pyogenes</italic> (SpCas9) which requires a protospacer adjacent motif (PAM) sequence of &#x201c;NGG&#x201d; in the target DNA sequence. Other Cas9 variants differing in their PAM requirements (SpCas9-VQR-&#x201c;NGA&#x201d;, SpCas9-EQR- &#x201c;NGAG&#x201d;, Cas9-NG-&#x201c;NG&#x201d;, and xCas9 3.7-&#x201c;NG/GAA/GAT&#x201d;) have also been used for plant genome editing (<xref ref-type="bibr" rid="B7">Anzalone et al., 2019</xref>; <xref ref-type="bibr" rid="B131">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="B77">Nadakuduti and Enciso-Rodr&#xed;guez, 2021</xref>).</p>
<p>Cas12 nucleases belonging to class 2, type-V CRISPR systems were later added to the CRISPR toolbox (<xref ref-type="bibr" rid="B129">Zetsche et al., 2015</xref>). The major differences between Cas9 and Cas12 nucleases are that Cas12 nucleases are mostly guided by a single crRNA of &#x223c;42&#xa0;nt compared to the Cas9 guide RNA of &#x223c;100&#xa0;nt; unlike Cas9, Cas12 effectors lack HNH domain and possess only RuvC-like domain that cleaves both strands of the DNA target site resulting into a staggered cut with a 4&#x2013;5&#xa0;nt 5&#x2032; overhang (<xref ref-type="bibr" rid="B129">Zetsche et al., 2015</xref>). LbCas12a is the most widely used Cas12 variant for gene-editing in plants and it recognizes a T-rich PAM &#x201c;TTTV&#x201d; (<xref ref-type="bibr" rid="B131">Zhang et al., 2019</xref>). Engineered variants of Cas12a with increased activities and target ranges have also been developed (<xref ref-type="bibr" rid="B57">Kleinstiver et al., 2015</xref>). A distinct feature of Cas12a is that it does not require tracrRNA for the processing of mature crRNA making it advantageous for multiplex gene editing, transcription, epigenetic modulations and base editing (<xref ref-type="bibr" rid="B92">Safari et al., 2019</xref>).</p>
<p>The most recent addition to the CRISPR toolbox is the CRISPR-Cas8, which is a hypercompact type-V CRISPR system consisting of a single Cas8 protein of &#x223c;70-kDa that is about half the size of Cas9 or Cas12a (<xref ref-type="bibr" rid="B77">Nadakuduti and Enciso-Rodr&#xed;guez, 2021</xref>). Like Cas12a, Cas8 also does not require a tracrRNA and generates a staggered cut with 5&#x2032;-overhangs (<xref ref-type="bibr" rid="B84">Pausch et al., 2020</xref>) and requires the PAM of 5&#x2032;-TBN-3&#x2032; (where B &#x3d; G, T, or C). CRISPR-Cas8 mediated genome editing has been reported in Arabidopsis with an editing efficiency of 0.85% (<xref ref-type="bibr" rid="B84">Pausch et al., 2020</xref>).</p>
<p>Recently, precise modification of DNA and RNA has also been reported at single-base level through base editing which can convert one target DNA nucleotide to another. Base editors (BEs) can precisely modify nuclear and organellar genomes (DNA BEs) as well as transcriptomes (RNA BEs) of dividing as well as non-dividing cells (<xref ref-type="bibr" rid="B75">Molla et al., 2021</xref>). BEs consist of a catalytically impaired Cas nuclease (dCas9: D10A and H840A) that is fused to a nucleotide deaminase and DNA repair proteins. Unlike the SpCas9-generated DSBs that are repaired by error prone NHEJ, the BE-generated individual nicks are repaired by a more precise base excision repair pathway (BER), thus, minimizing the undesired by-products due to gene-editing (<xref ref-type="bibr" rid="B91">Ran et al., 2013</xref>). DNA BEs can be classified as: cytosine BEs (CBEs), adenine BEs (ABEs), C-to-G BEs (CGBEs), dual-base editors and organellar BEs. Genome editing using CBEs has been reported in some of the major crops like Arabidopsis (<xref ref-type="bibr" rid="B21">Chen et al., 2017</xref>), rice (<xref ref-type="bibr" rid="B100">Shimatani et al., 2017</xref>), wheat (<xref ref-type="bibr" rid="B131">Zhang et al., 2019</xref>), maize (<xref ref-type="bibr" rid="B135">Zong et al., 2017</xref>), tomato (<xref ref-type="bibr" rid="B45">Hunziker et al., 2020</xref>), potato (<xref ref-type="bibr" rid="B112">Veillet et al., 2019a</xref>), cotton (<xref ref-type="bibr" rid="B90">Qin et al., 2020</xref>), soybean (<xref ref-type="bibr" rid="B16">Cai et al., 2020</xref>), and rapeseed (<xref ref-type="bibr" rid="B22">Cheng et al., 2021</xref>). Although base editors can bring about base transitions without DNA donors, they cannot be used with other base transversions, insertions or deletions.</p>
<p>The &#x2018;search and replace&#x2019; prime editing (PE) is the most recent and by far the most advanced tool for genome editing which can copy the desired edit incorporated within the guide RNA without using DSBs or donor repair template (<xref ref-type="bibr" rid="B7">Anzalone et al., 2019</xref>) and generate targeted insertions or deletions, or directly install precise transition and transversion mutations at targeted genomic loci.</p>
<p>Prime editing is mediated by a complex consisting of prime editing guide RNA (pegRNA) and a catalytically impaired Cas9 endonuclease [nCas9 (H840A)] that is fused with a reverse transcriptase from engineered moloney murine leukaemia virus (M-MLV RT). This complex binds to the regions of protospacer and PAM. nCas9 (H840A) nicks the edited sequence by RuvC-like domains at a position three base pairs upstream of PAM. Subsequently, as the primer binding site (PBS) matches to the exposed 3&#x2032; end of the edited sequence, reverse transcription is initiated whereby the editing information is transformed to the edited sequence from the RT template. A mismatch formed in the heteroduplex DNA which contains one edited and one unedited sequence is repaired by using the edited sequence as a template (<xref ref-type="bibr" rid="B41">Hao et al., 2021</xref>). Prime editing has been reported in cereal crops (<xref ref-type="bibr" rid="B15">Butt et al., 2020</xref>; <xref ref-type="bibr" rid="B68">Lin et al., 2020</xref>; <xref ref-type="bibr" rid="B107">Tang et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Fiaz et al., 2021b</xref>) and has an advantage of fewer bystander mutations compared to base editing and also less restricted to PAM availability compared to the other genome editing methods (<xref ref-type="bibr" rid="B7">Anzalone et al., 2019</xref>). However, base editors still remain widely applicable due to their improved efficiency with superior on-target and off-target DNA editing profiles, product purity, and DNA specificity (<xref ref-type="bibr" rid="B7">Anzalone et al., 2019</xref>; <xref ref-type="bibr" rid="B126">Yu et al., 2020</xref>). Thus, the choice of suitable editing strategy largely depends on the specific application such as the desired edit, availability of PAMs, editing efficiency and generation of off-target/bystander mutations (<xref ref-type="bibr" rid="B41">Hao et al., 2021</xref>).</p>
</sec>
<sec id="s3">
<title>Breeding Approaches for Crop Improvement</title>
<p>The traditional breeding approaches have greatly contributed to genetic improvement of the present day elite crop varieties. The recent advances in the traditional breeding methods include wide crosses, introgression from wild-crop by hybrid breeding, mutation breeding, double haploid technology, tissue culture-based approaches like embryo and ovule rescue and protoplast fusion. Introgression through hybridization and back-crossing is one of the most widely adopted methods for developing elite crop varieties with desirable traits. It is also an important breeding strategy for transferring desirable traits from wild species to cultivated varieties. Interspecific gene flow has contributed to the origin of crop plants, restoration of crop diversity after domestication and to the adaptation to challenging environments (<xref ref-type="bibr" rid="B36">Foria et al., 2022</xref>). Introgressive hybridization has been used to tap the secondary gene pool for accessing the genetic variation for crop improvement in wheat (<xref ref-type="bibr" rid="B76">Mujeeb-Kazi and Asiedu, 1990</xref>), rice (<xref ref-type="bibr" rid="B49">Jena, 2010</xref>), potato (<xref ref-type="bibr" rid="B48">Jansky and Oeloquin, 2006</xref>), tomato (<xref ref-type="bibr" rid="B97">Schouten et al., 2019</xref>), cassava (<xref ref-type="bibr" rid="B118">Wolfe et al., 2019</xref>). Wild-crop introgressive hybridization has been used for incorporating disease resistance traits into newly released crop varieties (<xref ref-type="bibr" rid="B40">Hajjar and Hodgkin., 2007</xref>). Another frequently used approach for crop breeding is inbreeding. Inbred varieties are produced by self-fertilization in order to preserve the original traits and to produce true breeding cultivars which can be as parents in the hybridization programmes. Inbreeding can be used to improve the results of selection when the heritability for a trait is small. In hybrid breeding, two different inbred varieties are crossed to produce an offspring with stable characteristics and hybrid vigor, where the offspring is much more productive than either parent (<xref ref-type="bibr" rid="B17">Caligari, 2001</xref>). Hybrid crop varieties perform better than their inbred progenitors in an array of crops like maize and oil palm (<xref ref-type="bibr" rid="B61">Labroo et al., 2021</xref>).</p>
<p>In mutation breeding, genotypes showing spontaneous mutations are selected for breeding or mutations are induced using physical or chemical mutagens to create mutant phenotypes with desired traits (<xref ref-type="bibr" rid="B27">Devarumath et al., 2015</xref>; <xref ref-type="bibr" rid="B89">Purankar et al., 2022</xref>). Marker assisted breeding makes use of molecular markers, in combination with linkage maps and genomics, to alter and improve the crop traits on the basis of genotypic assays (<xref ref-type="bibr" rid="B51">Jiang, 2013</xref>). The morphological (trait-specific), proteinaceous (isoenzyme), cytological (chromosome-specific), and DNA markers have been used in plant breeding. DNA markers have been extensively utilized for marker-assisted selection of crop plants (<xref ref-type="bibr" rid="B73">Madina et al., 2013</xref>; <xref ref-type="bibr" rid="B60">Kumawat et al., 2020</xref>). Recently, the advanced molecular breeding tools such as SSRs, Indels, SNPs, genome sequencing, genotype by sequencing, and microRNAs have been used for crop improvement (<xref ref-type="bibr" rid="B25">Devarumath et al., 2014</xref>; <xref ref-type="bibr" rid="B86">Platten et al., 2019</xref>; <xref ref-type="bibr" rid="B14">Bohar et al., 2020</xref>) to confer biotic and abiotic stress tolerance (<xref ref-type="bibr" rid="B102">Shriram et al., 2016</xref>; <xref ref-type="bibr" rid="B26">Devarumath et al., 2019</xref>).</p>
<p>Genetic engineering of plants commenced nearly three&#xa0;decades ago after the first successful regeneration of a transgenic plant was reported from transformed cells of tobacco (<xref ref-type="bibr" rid="B11">Barton and Brill, 1983</xref>) petunia, and tomato (<xref ref-type="bibr" rid="B43">Horsch et al., 1985</xref>). The invention of biolistic gene gun (<xref ref-type="bibr" rid="B94">Sanford et al., 1987</xref>; <xref ref-type="bibr" rid="B56">Klien et al., 1992</xref>) paved a way into transformation of recalcitrant crops which were not amenable to <italic>Agrobacterium-</italic>mediated transformation. Genetic engineering facilitated introduction of desired traits into crops as well as understanding novel gene functions (<xref ref-type="bibr" rid="B6">Anjanappa and Gruissem, 2021</xref>; <xref ref-type="bibr" rid="B79">Nerkar et al., 2018a</xref>, <xref ref-type="bibr" rid="B78">b</xref>; <xref ref-type="bibr" rid="B27">Devarumath et al., 2015</xref>). Till date, 525 different transgenic events across 32 crops have been approved for cultivation (<xref ref-type="bibr" rid="B59">Kumar et al., 2020</xref>; <xref ref-type="bibr" rid="B6">Anjanappa and Gruissem, 2021</xref>). However, the major challenges for plant transformation are the expensive, time-consuming, and recalcitrant crops. Genetic transformation involves random integration of transgenes in the nuclear genome often leading to transgene silencing which can be overcome by precision genome editing.</p>
</sec>
<sec id="s4">
<title>Precision Genome Editing for Developing Crops With Important Agronomic Traits</title>
<p>Genome editing has revolutionized the crop improvement through the generation of precise changes in the plant genome that was a long-standing goal of the plant breeders across the globe. Since the first report on genome editing in rice (<xref ref-type="bibr" rid="B69">Liu et al., 2012</xref>), genome editing has been reported in and array of food crops such as vegetable crops (Cabbage, Carrot, Pumpkin Tomato Potato, Cucumber, Sweet potato, Basil, Cassava, Chilly, Kale, Lettuce, Lactuca sativa) fruit crops (Apple, Banana, Grapefruit, Coconut, Date Palm, Grapes, Lychee, Melon, Orange, Papaya, Pear, Strawberry, Watermelon, Kiwifruit, Blueberry, Citrus) cereal crops (Barley, Rice Wheat, Maize, Oats) legume crops (Chickpea, Cowpea), sugar producing crops (Sugarcane, Sugar beet) spice crops (Pepper, Saffron) as well as other industrial crops (Coffee, Dandelion, <italic>Jatropha curcas</italic>, Millet, Sorghum, Switchgrass) oil crops (canola, flax, oil palm, oilseed rape, soybean and sunflower) as reviewed by <xref ref-type="bibr" rid="B70">Liu et al. (2021)</xref>. The application of CRISPR-Cas9 for development of crops with important agronomic traits is discussed in the further sections.</p>
</sec>
<sec id="s5">
<title>CRISPR-Cas9 Mediated Genome Editing of Crops for Disease Resistance</title>
<p>CRISPR-mediated engineering of plants for disease resistance has been reported in major crops (as reviewed by <xref ref-type="bibr" rid="B127">Zaidi et al., 2020</xref>) such as rice, wheat, tomato, banana, citrus, grapes, cassava and cucumber (<xref ref-type="table" rid="T2">Table 2</xref>). Broad spectrum resistance is an effective strategy for disease management in crops as these loci confer resistance to diverse species or races of pathogen. <xref ref-type="bibr" rid="B134">Zhou et al. (2018)</xref> discovered the <italic>bsr-k1</italic> allele in rice and also developed the <italic>bsr-k1</italic> (broad spectrum resistance Kitaake-1) mutant, which confers broad-spectrum resistance against <italic>Magnaporthe oryzae</italic> and <italic>Xanthomonas oryzae</italic> pv <italic>oryzae</italic> without affecting the major agronomic traits. The bacterial blight caused by <italic>Xanthomonas oryzae</italic> pv. <italic>Oryzae</italic> causes significant yield losses in rice. The expression of sucrose transporter genes <italic>SWEET1</italic>, <italic>SWEET3</italic> and <italic>SWEET14</italic> causes disease susceptibility. <xref ref-type="bibr" rid="B81">Oliva et al. (2019)</xref> engineered broad-spectrum resistance into the rice line Kitaake and two mega varieties IR64 and Ciherang-Sub1.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Genome editing using CRISPR-Cas system in major crops for disease resistance and abiotic stress tolerance.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Plant</th>
<th align="center">Gene modified</th>
<th align="center">Function</th>
<th align="center">Agronomic trait</th>
<th align="center">Transformation method</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="left">Disease resistance</td>
</tr>
<tr>
<td rowspan="1" align="left">Rice</td>
<td align="left">
<italic>Bsr-k1</italic>
</td>
<td align="left">Broad spectrum resistance</td>
<td align="left">Broad spectrum resistance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B134">Zhou et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">
<italic>OsSWEET11, OsSWEET13, and OsSWEET14</italic>
</td>
<td align="left">Susceptibility genes for bacterial blight</td>
<td align="left">Resistance to bacterial blight</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B81">Oliva et al. (2019)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Wheat</td>
<td align="left">TaMlo-A1, TaMloB1, and TaMlo-D1</td>
<td align="left">Mildew resistance locus proteins</td>
<td align="left">Resistance to powdery mildew</td>
<td align="left">Biolistic transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B117">Wang et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left">TaEdr1 (three homologs)</td>
<td align="left">Negative role in powdery mildew resistance</td>
<td align="left">Resistance to powdery mildew</td>
<td align="left">Biolistic transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B132">Zhang et al. (2017)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Tomato</td>
<td align="left">Pmr4</td>
<td align="left">Negatively controls the SA-associated defense pathway</td>
<td align="left">Resistance to powdery mildew</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B95">Santillan Martinez et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Jaz2</td>
<td align="left">Major COR/JA-Ile co-receptor in Arabidopsis controlling stomata dynamics during bacterial invasion</td>
<td align="left">Resistance to bacterial speck disease</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B82">Ortigosa et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Banana</td>
<td align="left">RGA2, Ced9</td>
<td align="left">Antiapoptosis gene, prevention of fungal-induced cell death and maintenance of organelle homeostasis</td>
<td align="left">Resistance to <italic>Fusarium</italic> wilt</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B24">Dale et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Citrus</td>
<td align="left">CsLOB1</td>
<td align="left">Citrus canker disease susceptibility gene</td>
<td align="left">Resistance to citrus canker</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Jia et al. (2017)</xref>; <xref ref-type="bibr" rid="B85">Peng et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Grapes</td>
<td align="left">VvWRKY52</td>
<td align="left">WRKY transcription factor playing a role in biotic stress</td>
<td align="left">Resistance to <italic>B. cinerea</italic>
</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B116">Wang et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Cassava</td>
<td align="left">nCBP-1, nCBP-2</td>
<td align="left">Novel cap binding proteins from the eIF4E protein family playing an essential role in the initiation of cap-dependent mRNA translation</td>
<td align="left">Resistance to brown streak disease</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B38">Gomez et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Cucumber</td>
<td align="left">eIF4E</td>
<td align="left">Eukaryotic translation initiation factor 4E playing role in biotic stress</td>
<td align="left">Resistance to Cucumber vein yellowing virus (Ipomovirus)</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B19">Chandrasekaran et al. (2016)</xref>
</td>
</tr>
<tr>
<td colspan="6" align="left">Abiotic stress tolerance</td>
</tr>
<tr>
<td rowspan="4" align="left">Rice</td>
<td align="left">OsMYB30</td>
<td align="left">Cold tolerance</td>
<td align="left">Cold tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B128">Zeng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">OsNAC14</td>
<td align="left">Transcription factor</td>
<td align="left">Drought tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B99">Shim et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">PQT3</td>
<td align="left">Ubiquitin ligase</td>
<td align="left">Salinity tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B3">Alfatih et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">AOX1a, AOX1b, AOX1c, BEL</td>
<td align="left">Breeding stress marker</td>
<td align="left">Multiple stress tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B121">Xu et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">ALS</td>
<td align="left">Acetolactate synthase</td>
<td align="left">Herbicide tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B29">Endo et al. (2016)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Wheat</td>
<td align="left">DREB2, DREB3, ERF3</td>
<td align="left">Dehydration responsive element binding protein</td>
<td align="left">Drought tolerance</td>
<td align="left">PEG-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B54">Kim et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">EPSPS</td>
<td align="left">Synthesis of amino acids (aromatic)</td>
<td align="left">Herbicide tolerance</td>
<td align="left">Biolistic transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B8">Arndell et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">INOX, PDS</td>
<td align="left">Inositol oxygenase, Phytoene desaturase</td>
<td align="left">Multiple stress tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B110">Upadhyay et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="left">Maize</td>
<td align="left">ALS</td>
<td align="left">Acetolactate synthase</td>
<td align="left">Herbicide tolerance</td>
<td align="left">Biolistic transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B122">Yadava et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Sugarcane</td>
<td align="left">ALS</td>
<td align="left">Acetolactate synthase</td>
<td align="left">Herbicide tolerance</td>
<td align="left">Biolistic transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B83">Oz et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Soybean</td>
<td align="left">ALS1</td>
<td align="left">Acetolactate synthase</td>
<td align="left">Herbicide tolerance</td>
<td align="left">Biolistic transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B67">Li et al. (2015)</xref>
</td>
</tr>
<tr>
<td rowspan="4" align="left">Tomato</td>
<td align="left">BZR1</td>
<td align="left">Brassinosteroid regulator</td>
<td align="left">Heat stress</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B124">Yin et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">NPR1</td>
<td align="left">Drought tolerance</td>
<td align="left">Drought tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B115">Wang et al. (2015)</xref>; <xref ref-type="bibr" rid="B65">Li et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">CLV3</td>
<td align="left">Regulates shoot and Floral meristem development</td>
<td align="left">Salinity stress tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B66">Li et al. (2018)</xref>; <xref ref-type="bibr" rid="B111">Van Eck et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">PDS</td>
<td align="left">Carotenoid biosynthesis</td>
<td align="left">Multiple stress tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B137">Woo et al., 2015</xref>
</td>
</tr>
<tr>
<td align="left"/>
<td align="left">ALS</td>
<td align="left">Acetolactate synthase</td>
<td align="left">Herbicide tolerance</td>
<td align="left">Biolistic transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B112">Veillet et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>Brassica</italic> napus</td>
<td align="left">BnaA6.RGA (DELLA Protein)</td>
<td align="left">Transcription factor</td>
<td align="left">Drought tolerance</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B119">Wu et al. (2020)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Simultaneous mutation of the three homeoalleles of TaMLO conferred heritable broad-spectrum resistance to powdery mildew in hexaploid bread wheat (<xref ref-type="bibr" rid="B117">Wang et al., 2014</xref>). Similarly, <xref ref-type="bibr" rid="B132">Zhang et al. (2017)</xref> generated wheat <italic>edr1</italic> plants by simultaneous modification of the three homoeologs of TaEDR1 confirming its negative role in powdery mildew resistance. In tomato, Powdery Mildew Resistance 4 <italic>PMR4</italic> knock-out lines showed enhanced resistance against powdery mildew pathogen <italic>Oidium neolycopersici</italic> (<xref ref-type="bibr" rid="B95">Santillan Martinez et al., 2020</xref>). Genetic manipulation of defence pathways is limited due to the antagonistic interactions between the SA and JA defence pathways. <xref ref-type="bibr" rid="B82">Ortigosa et al. (2019)</xref> reported spatial uncoupling the SA-JA antagonism at the stomata and generated a tomato resistant to the bacterial speck disease caused by the pathogen Pto DC3000, without compromising resistance to necrotrophic pathogens, by editing the SlJAZ2 gene (<xref ref-type="bibr" rid="B95">Santillan Martinez et al., 2020</xref>). Resistance to <italic>Fusarium</italic> wilt (Banana), citrus canker (Citrus), <italic>B. cinerea</italic> (grapes), brown streak disease (Cassava) and <italic>Ipomovirus</italic> (cucumber) has also been reported (<xref ref-type="bibr" rid="B24">Dale et al., 2017</xref>; <xref ref-type="bibr" rid="B50">Jia et al., 2017</xref>; <xref ref-type="bibr" rid="B85">Peng et al., 2017</xref>; <xref ref-type="bibr" rid="B116">Wang et al., 2017</xref>; <xref ref-type="bibr" rid="B38">Gomez et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Chandrasekaran et al., 2016</xref>; <xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
<sec id="s6">
<title>Development of Abiotic Stress Tolerant and High-Yielding Crops Using CRISPR-Cas9</title>
<p>Abiotic stresses pose a major threat to the crop yield and productivity. CRISPR/Cas has been adopted rapidly for the manipulation of crop genomes to develop abiotic stress tolerant and high-yielding mutants (<xref ref-type="bibr" rid="B13">Bhat et al., 2021</xref>). Simultaneous editing of three genes, OsPIN5b (a panicle length gene), GS3 (a grain size gene) and OsMYB30 (a cold tolerance gene) with the CRISPR-Cas9 resulted in several new rice mutants with high yield and excellent cold tolerance (<xref ref-type="bibr" rid="B128">Zeng et al., 2020</xref>; <xref ref-type="table" rid="T2">Table 2</xref>) which was also stable in the T2 generation. Overexpression of the BZR (brassinosteroid regulator) in tomato conferred thermo-tolerance via regulation of the Feronia (Fer) homologs (<xref ref-type="bibr" rid="B124">Yin et al., 2018</xref>).</p>
<p>Improvement in drought tolerance by modulating the important transcription factors has been reported in the major crops like rice (<xref ref-type="bibr" rid="B99">Shim et al., 2018</xref>), wheat (<xref ref-type="bibr" rid="B54">Kim et al., 2018</xref>), tomato (<xref ref-type="bibr" rid="B115">Wang et al., 2015</xref>; <xref ref-type="bibr" rid="B65">Li et al., 2019</xref>) and <italic>Brassica napus</italic> (<xref ref-type="bibr" rid="B119">Wu et al., 2020</xref>). <xref ref-type="bibr" rid="B99">Shim et al. (2018)</xref> reported the functional characterization of the rice drought responsive transcription factor OsNAC14. Overexpression of OsNAC14 conferred drought tolerance in the rice mutants at the vegetative stage of growth. Field performance of OsNAC14 overexpressing transgenic rice lines revealed that these lines exhibited higher number of panicle and filling rate compared to non-transgenic plants under drought conditions. In wheat, CRISPR-Cas9 mediated genome editing of dehydration responsive element binding protein 2 (TaDREB2) and ethylene responsive factor 3 (TaERF3) resulted in improved drought tolerance (<xref ref-type="bibr" rid="B54">Kim et al., 2018</xref>). <xref ref-type="bibr" rid="B65">Li et al. (2019)</xref> isolated <italic>SlNPR1</italic> (non-expressor of pathogenesis-related gene 1) from tomato and generated <italic>slnpr1</italic> mutants using the CRISPR/Cas9 system and found that lines overexpressing <italic>SlNPR1</italic> showed reduced drought tolerance. This work throws a light on function of NPR1 in plant response. In rapeseed, CRISPR-Cas9 editing of <italic>bnaa6. rga-D</italic> and <italic>bnarga</italic> genes helped in understanding roles of DELLA proteins in drought tolerance in <italic>B. napus</italic> (<xref ref-type="bibr" rid="B119">Wu et al., 2020</xref>). The <italic>bnaa6. rga-D</italic> mutants displayed enhanced drought tolerance and <italic>BnaRGA</italic>s physically interacted with BnaA10. ABF2, an essential transcription factor in ABA signaling.</p>
<p>Major work on salinity tolerance has been done in rice (as reviewed by <xref ref-type="bibr" rid="B13">Bhat et al. (2021)</xref>. The Arabidopsis PARAQUAT TOLERANCE 3 (<italic>AtPQT3</italic>) encoding an E3 ubiquitin ligase confers an off-switch mechanism which enable plants to balance the growth and stress responses (<xref ref-type="bibr" rid="B3">Alfatih et al., 2020</xref>). <italic>OsPQT3</italic>, a rice homologue of <italic>AtPQT3</italic> was knock-out using CRISPR-Cas9 (<xref ref-type="bibr" rid="B3">Alfatih et al., 2020</xref>). The resulting <italic>OsPQT3</italic> knockout mutants (<italic>ospqt3</italic>) displayed enhanced resistance to oxidative and salt stress significantly enhanced agronomic performance with higher yield compared with the wild type under salt stress in greenhouse and in field conditions. <xref ref-type="bibr" rid="B66">Li et al. (2018)</xref> introduced desirable traits into four stress-tolerant wild-tomato accessions by using multiplex CRISPR&#x2013;Cas9 editing of genes associated with morphology, flower and fruit production, and ascorbic acid synthesis. The Cas9-free progeny of edited plants had domesticated phenotypes and also retained disease resistance and salt tolerance traits from the parents (<xref ref-type="bibr" rid="B66">Li et al., 2018</xref>).</p>
<p>Herbicide tolerance has been engineered in rice (<xref ref-type="bibr" rid="B29">Endo et al., 2016</xref>), maize (<xref ref-type="bibr" rid="B122">Yadava et al., 2017</xref>), sugarcane (<xref ref-type="bibr" rid="B83">Oz et al., 2021</xref>), soybean (<xref ref-type="bibr" rid="B67">Li et al., 2015</xref>) and tomato (<xref ref-type="bibr" rid="B113">Veillet et al., 2019b</xref>) by editing the Acetolactate synthase (<italic>ALS</italic>) gene; and in wheat (<xref ref-type="bibr" rid="B8">Arndell et al., 2019</xref>) by editing the 5-enolpyruvylshikimate 3-phosphate synthase (<italic>EPSPS</italic>) gene to develop crop varieties resistant to chlorsulfuron and glyphosate, respectively.</p>
<p>In rice, CRISPR-Cas9 mediated gene editing of GS3 and Gn1a genes responsible for grain size and grain number resulted into generation of 3 mutant genotypes (gs3-N9108, gs3-Z22, and gs3gn1a-Z22) which showed 3&#x2013;7% increase in grain yields than the WT (<xref ref-type="bibr" rid="B98">Shen et al., 2018</xref>). <xref ref-type="bibr" rid="B42">Hao et al. (2019)</xref> reported larger grain size in the genome edited mutants generated by editing GL2/OsGRF4 and OsGRF3 genes responsible for grain size and grain yield, respectively. CRISPR-Cas9 mediated genome editing of Gn1a, DEP1, GS3, IPA1 led to enhanced grain number; dense erect panicles; larger grain size; and variation in the tiller number in T2 generation (<xref ref-type="bibr" rid="B64">Li et al., 2016</xref>).</p>
</sec>
<sec id="s7">
<title>Biofortification of Crops Using CRISPR-Cas9</title>
<p>Biofortification of grains is one of the main goals of breeders to enhance the nutritive value of grains for controlling the nutrient-deficiency related diseases. Lysine content has been improved by up to 25-fold in rice by editing the gene <italic>AK</italic> (<italic>lysC</italic>) and <italic>DHPS</italic> (<italic>dapA</italic>) responsible for key enzymes in lysine biosynthesis (<xref ref-type="bibr" rid="B123">Yang et al., 2016</xref>) (<xref ref-type="table" rid="T3">Table 3</xref>). In addition, these high-lysine lines showed improved physic-chemical properties without affecting the starch composition. The plants showed normal growth in field trials with slight difference in plant height and grain colour (<xref ref-type="bibr" rid="B123">Yang et al., 2016</xref>). Carotenoid biofortification has been achieved in rice by genome editing of CrtI and PSY genes resulting in marker-free gene-edited mutants containing high &#x3b2;-carotene content (<xref ref-type="bibr" rid="B28">Dong et al., 2020</xref>). Biofortified tomato has been produced with diverse nutrient like &#x3b3;-aminobutyric acid (GABA). GABA is a neurotransmitter that control anxiety and blood pressure. By deleting the C-terminal autoinhibitory domain of glutamate decarboxylase, a key enzyme in GABA biosynthesis, mutant tomatoes have been created in which GABA accumulation increased by seven-fold (<xref ref-type="bibr" rid="B80">Nonaka et al., 2017</xref>). Yellow-seeded mutants in rapeseed have been created using the CRISPR-Cas9 mediated editing of BnTT8 homologs which increased the oil content in the T2 generation by 9.47%. These BnTT8 double mutants with high oil yield potential and modified FA composition as well as improved the nutritional quality could have potential application in rapeseed breeding (<xref ref-type="bibr" rid="B130">Zhai et al., 2020</xref>). <xref ref-type="bibr" rid="B109">Tuncel et al. (2019)</xref> investigated Cas9-mediated mutagenesis of starch-branching enzymes (SBEs) in tetraploid potatoes and developed transgene-free mutant potato lines with elevated levels of resistant starch which can help in improving insulin control of blood sugar levels. Taken together, these results demonstrate that Cas9-mediated mutagenesis holds promise for development of commercially viable crops.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Genome editing using CRISPR-Cas system in major crops for increased yield, improved nutritive value, reduction in anti-nutritional factors and improved shelf-life.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Plant</th>
<th align="center">Gene modified</th>
<th align="center">Function</th>
<th align="center">Agronomic trait</th>
<th colspan="2" align="center">Transformation method</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="7" align="left">Increased yield</td>
</tr>
<tr>
<td rowspan="3" align="left">Rice</td>
<td align="left">GS3 and Gn1a</td>
<td align="left">GS3: QTL regulating grain size; Gn1a: QTL regulating grain number</td>
<td colspan="2" align="left">Grain size and grain number</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B98">Shen et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">GL2/OsGRF4 and OsGRF3</td>
<td align="left">GL2 transcript negatively regulated grain size and yield</td>
<td colspan="2" align="left">Grain size and yield</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B42">Hao et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Gn1a; DEP1; GS3; IPA1</td>
<td align="left">Gn1a: regulates grain number; DEP1: regulates panicle size; GS3: regulates grain size; IPA1: regulates plant architecture</td>
<td colspan="2" align="left">grain number; panicle architecture; grain size; plant architecture</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B64">Li et al. (2016)</xref>
</td>
</tr>
<tr>
<td colspan="7" align="left">Improved nutritive value</td>
</tr>
<tr>
<td rowspan="2" align="left">Rice</td>
<td align="left">AK (lysC) and DHPS (dapA)</td>
<td align="left">Key enzymes in lysine biosynthesis</td>
<td colspan="2" align="left">Lysine content</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B123">Yang et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left">CrtI, PSY</td>
<td align="left">Carotenoid biosynthesis</td>
<td colspan="2" align="left">High &#x3b2;-carotene content</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B28">Dong et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Tomato</td>
<td align="left">SlGAD2, SlGAD3</td>
<td align="left">Glutamate decarboxylase- key enzyme in GABA synthesis</td>
<td colspan="2" align="left">High GABA content</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B80">Nonaka et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Potato</td>
<td align="left">StSBE1, StSBE2</td>
<td align="left">Starch branching enzymes</td>
<td colspan="2" align="left">High amylose content</td>
<td align="left">Agrobacterium-mediated transformation/PEG -mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B109">Tuncel et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Rapeseed</td>
<td align="left">BnTT8</td>
<td align="left">Transcription factor regulator activating pro anthocyanidins-specific genes in seed coat development</td>
<td colspan="2" align="left">High oil production and GPC</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B130">Zhai et al. (2020)</xref>
</td>
</tr>
<tr>
<td colspan="7" align="left">Reduction in anti-nutritional factors</td>
</tr>
<tr>
<td rowspan="2" align="left">Rice</td>
<td align="left">OsNramp5</td>
<td align="left">Cd transporter mediating root uptake of Cd</td>
<td colspan="2" align="left">Cd accumulation</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B106">Tang et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">OsPLD&#x3b1;1</td>
<td align="left">Regulates abscicic acid signalling</td>
<td colspan="2" align="left">Low phytic acid content</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B53">Khan et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Wheat</td>
<td align="left">&#x3b1;-gliadin genes</td>
<td align="left">Gluten proteins</td>
<td colspan="2" align="left">Low gluten content</td>
<td align="left">Biolistic transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B93">Sanchez-Leon et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Rapeseed</td>
<td align="left">BnITPK</td>
<td align="left">Key enzyme ITPK (inositol tetrakisphosphate kinase), catalysing the penultimate step for the synthesis of Phytic Acid in plants</td>
<td colspan="2" align="left">Low phytic acid content</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B96">Sashidhar et al. (2020)</xref>
</td>
</tr>
<tr>
<td colspan="7" align="left">Improved shelf-life</td>
</tr>
<tr>
<td rowspan="3" align="left">Tomato</td>
<td align="left">ALC</td>
<td align="left">An allele of nor (non-ripening) gene</td>
<td colspan="2" align="left">Extended shelf life</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B125">Yu et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">PL, PG2a, TBG4</td>
<td align="left">Tomato pectin degrading enzymes determining softening in fleshy fruits</td>
<td colspan="2" align="left">Long shelf life</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B114">Wang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">RIN</td>
<td align="left">MADS-box transcription factor regulating fruit ripening</td>
<td colspan="2" align="left">Slower ripening</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B46">Ito et al. (2015)</xref>
</td>
</tr>
<tr>
<td align="left">Banana</td>
<td align="left">MaACO1</td>
<td align="left">Encodes ACC oxidase playing a role in ripening</td>
<td colspan="2" align="left">Long shelf life</td>
<td align="left">Agrobacterium-mediated transformation</td>
<td align="left">
<xref ref-type="bibr" rid="B44">Hu et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Petunia</td>
<td align="left">PhACO1</td>
<td align="left">Encodes ACC oxidase and expressed during flower development</td>
<td colspan="2" align="left">Increased shelf life</td>
<td align="left">PEG-mediated transfection</td>
<td align="left">
<xref ref-type="bibr" rid="B120">Xu et al. (2020)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s8">
<title>Reduction in Anti-Nutritional Factors in CRISPR-Cas9 Edited Crops</title>
<p>In order to reduce the phytic acid content in rapeseeds, the <italic>ITPK</italic> gene encodes an enzyme that catalyzes the penultimate step of phytate synthesis. In rapeseed, the <italic>ITPK</italic> gene knock-out by CRISPR/Cas9 led to reduction in the phytic acid content by 35% (<xref ref-type="table" rid="T3">Table 3</xref>) without affecting the plant performance (<xref ref-type="bibr" rid="B96">Sashidhar et al., 2020</xref>). The gluten protein in wheat is another important anti-nutritional factor which can cause coeliac disease in gluten intolerant individuals. Reduction of the gluten content using the conventional breeding methods is difficult as this protein is encoded by more than 100 loci in the wheat genome. CRISPR/Cas9 mediated targeting of a conserved region of the &#x3b1;-gliadin genes has led to the production of low-gluten and transgene-free wheat lines (<xref ref-type="bibr" rid="B93">Sanchez-Leon et al., 2018</xref>). A remarkable application of the CRISPR/Cas9 technology in rice breeding is the generation of heavy metal pollution-safe rice cultivars. Cadmium (Cd) is a human carcinogen which can also lead to renal failure upon long-term consumption. <xref ref-type="bibr" rid="B106">Tang et al. (2017)</xref> developed novel Indica rice cultivars accumulating low Cd levels in the grain by mutating the <italic>OsNramp5</italic> gene, which mediates the root uptake of Cd. Field performance evaluation of osnramp5 mutants revealed that high Cd conditions did not affect the agronomic traits and the grain yield (<xref ref-type="bibr" rid="B106">Tang et al., 2017</xref>; <xref ref-type="bibr" rid="B70">Liu et al., 2021</xref>).</p>
</sec>
<sec id="s9">
<title>Genome Editing for Developing Resilient Crops in Changing Climatic Conditions</title>
<p>Genome editing tools have become the most widely used biotechnological tools in crop breeding. Presently, the genome editing of crops is at a stage of elucidating the genomic function and regulatory mechanisms (<xref ref-type="bibr" rid="B70">Liu et al., 2021</xref>) and there is a long way to go before the translation of research on genome edited crops from lab to the field. The climate change continues to be the major limiting factor in the crop improvement. Therefore, increasing crop yield in the sub-optimal environments is the most important goal for the breeders. <xref ref-type="bibr" rid="B9">Bailey-Serres et al. (2019)</xref> have enlisted the different factors affecting the crop productivity and suggested the breeding strategies for increasing crop yield in sub-optimal environments. Genome editing indeed has a crucial role to play in elucidating the gene functions during stress responses as well as the adaptive mechanisms that plants have evolved in response to the harsh environmental conditions. <xref ref-type="fig" rid="F2">Figure 2</xref> depicts the areas where genome editing can find applications in breeding high-yielding and climate-resilient crops.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Genome editing to develop high-yielding and climate resilient crops (Abbreviations: SUB1A-1 Submergence 1A (SUB1A) which confers tolerance by quiescence of growth; ARF7 (auxin response factor); HKT1 (high-affinity K&#x2b; transporter sub-family 1) which mediates sodium (Na&#x2b;) exclusion from leaves).</p>
</caption>
<graphic xlink:href="fgene-13-880195-g002.tif"/>
</fig>
</sec>
<sec id="s10">
<title>Regulatory Approval of the Genome-Edited Crops</title>
<p>Genome editing is an innovative plant breeding technological advancement which creates targeted changes in the plant&#x2019;s own genome without the insertion of transgenic sequences. Genome editing is also referred to as a New Breeding Technique. Researchers argue that genome editing makes small genetic changes that could be found in nature. This is clearly different from introducing the DNA from other species into plant genomes. Unlike the older approaches, gene editing allows researchers to make more targeted changes in the genome.</p>
<p>Regulation of the genome-edited crops is crucial for its applicability for the betterment of crops which provide food, fibre and fuel for the growing population of the world in the face of a global climate change. On one hand when this technology has proved its versatile application in an array of important crops like rice, wheat, corn, soybean, tomato, potato, banana, cassava and oranges; international discussions are seeking legal clarity about the regulatory approval of genome editing and derived products (<xref ref-type="bibr" rid="B62">Lassoued et al., 2021</xref>). In 2019, soybean variety producing oil with a longer shelf life became the first commercialized gene edited food product to be launched in the United States by Calyxt of Roseville, Minnesota. Earlier this year, a gene-edited tomato with higher amounts of &#x3b3;-aminobutyric acid (GABA) came in to the market in Japan. Recently, United Kingdom has planned to ease requirements for field research on gene-edited crops by allowing the researchers to conduct field trials of gene-edited plants without the need to submit risk assessments (<xref ref-type="bibr" rid="B63">Ledford 2021</xref>). Recognizing that the SDN1 (that introduce changes in the plant genome through small insertions/deletions) and SDN2 (that uses a small template to generate a desired change in the plant genome) categories of plants are free from any transgenes, the Ministry of Environment, Forest and Climate Change (Government of India) issued a notification on 30 March 2022 to exempt products of SDN1 and SDN2 (free from transgenes) from the provisions of Rules 7 and 11 (both inclusive) of Rules, 1989, whereas products of SDN3 (with transgenes) will be treated in the same way as GE organisms under Rules, 1989 (<xref ref-type="bibr" rid="B136">Ahuja, 2022</xref>). This decision will further boost the research and development of genome-edited products in India. However, genome-edited plants still need regulatory exemption from most of the countries in the world. Nevertheless, this will further boost the research and development of genome edited crops in India. However, as the many countries across the still await the exemption of genome-edited products from regulation, scientists believe that genome editing encompasses powerful tools for future food security that should be enabled and not delayed.</p>
<p>Any mutations leading to obviously deleterious phenotypes would be eliminated from breeding programmes (<xref ref-type="bibr" rid="B18">Carroll et al., 2016</xref>). Other hypothetical risks, such as a modified protein that turned out to be allergenic to humans, might equally well arise naturally in the absence of human intervention. The effects of genome editing are largely identical to those of the natural processes that continually create variation in the genomes of food animals. From this point of view, it is hard to see why the process of genome editing to introduce defined genetic changes should be regulated when the process of spontaneous mutation that introduces new random changes into every individual&#x2019;s genome, every generation, is not. Genome editing allows precise changes to be made in the genomes of agricultural organisms without the introduction of DNA from other species. The products of editing should be subject to the same oversight as other food products, based on the result rather than the process that yielded the result. This technology was developed largely with public funding, and the public should benefit from its intelligent and careful application.</p>
<p>Despite their promise, it is clear that not every issue can or should be solved with these technologies; many are societal problems that must be addressed by changing behavior and mindsets. Decisions to use, not to use, or how to use these tools should be made by informed stakeholders-including consumers and famers in collaboration with plant breeders. Using crops created through genetic engineering and genome editing cannot replace sustainable practices, such as cover cropping, crop rotation, or crop diversification. They can ideally be used in concert with these practices, serving as one tool of the many, that farmers at all production levels can use to adjust to local conditions and challenges.</p>
</sec>
<sec sec-type="conclusion" id="s11">
<title>Conclusion</title>
<p>Advances in the breeding strategies through the application of innovative technologies have the potential to furnish solutions to address the future challenges in global food security. Combining genetic resources and innovative technologies like genome editing is important for developing crops with important agronomic traits that not only increase the global food security but also reduce the effects of agriculture on the environment. In less than a decade, CRISPR/Cas9 system has become the most widely used tool crop breeding. Considerable progress has been made in developing disease resistant and abiotic stress tolerant crops with improved yield, nutritive value and increased shelf life. Understanding novel gene functions and the regulatory mechanisms of genes controlling important agronomic traits in plants shall facilitate further progress in the application of the genome editing technologies for crop improvement. Through the identification and editing of genes involved in stress tolerance and yield improvement, it would be possible to develop robust crops that are resilient to the global climate change. Although, the translation of genome-edited crop research to the field is still a far way to go, the regulatory approval and consumer acceptance will play an essential role in commercializing the existing genome-edited crops.</p>
</sec>
</body>
<back>
<sec id="s12">
<title>Author Contributions</title>
<p>RD and CA conceptualized the review. GN wrote the manuscript and prepared the tables and figures. MP, AK, and RV wrote the manuscript. SD, RD and CA corrected the manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="s13">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s14">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>The authors are thankful to Shri. Shivajirao Deshmukh, Director General at Vasantdada Sugar Institute (Pune) and Dr. G. Hemaprabha, Director (Acting) at ICAR-Sugarcane Breeding Institute (Coimbatore); for their kind support and encouragement. </p>
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