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Genome-Editing Systems in Rice Improvement
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Food crop production and quality are two major attributes that ensure food security. Rice is one of the major sources of food that feeds half of the world’s population. Therefore, to feed about 10 billion people by 2050, there is a need to develop high-yielding grain quality of rice varieties, with greater pace. Although conventional and mutation breeding techniques have played a significant role in the development of desired varieties in the past, due to certain limitations, these techniques cannot fulfill the high demands for food in the present era. However, rice production and grain quality can be improved by employing new breeding techniques, such as genome editing tools (GETs), with high efficiency. These tools, including clustered, regularly interspaced short palindromic repeats (CRISPR) systems, have revolutionized rice breeding. The protocol of CRISPR/Cas9 systems technology, and its variants, are the most reliable and efficient, and have been established in rice crops. New GETs, such as CRISPR/Cas12, and base editors, have also been applied to rice to improve it. Recombinases and prime editing tools have the potential to make edits more precisely and efficiently. 

  • rice
  • grain yield
  • abiotic stress
  • biotic stress
  • grain quality
  • food security
  • CRISPR/Cas systems
  • base editing
  • prime editing
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Revisions: 2 times (View History)
Update Time: 13 Jul 2021

1. Introduction

Rice (Oryza sativa L.) is grown across the globe and consumed by approximately 3 billion people or around 50% of the world population [1][2]. Rice was grown on 162 million hectares and its global production was 755 million tons in 2019 (, accessed on 29 June 2021). The world population may rise anywhere from 9.7 to 11 billion in 2050 (, accessed on 29 June 2021); thus, a significant increase in rice yield will be required to feed the growing population. The global demand for rice is estimated to increase by 50% by 2050 [3]. However, climate change is a major limiting factor for crop production and increases in temperature are leading to more frequent and severe drought spells and soil salinization [4]. Rice faces several biotic and abiotic stresses that significantly lower its production. Approximately 3000 L of water is needed to produce 1 kg of rice, while it is a drought susceptible species due to the thin cuticle wax and small root systems, drought can cause up to 100% yield losses [5]. Similarly, soil salinity could reduce 50% of global rice production [6] and cold stress also threatens rice production and quality [1]. Therefore, an increase in rice production and improvement of its grain quality are essential for healthy and sustainable life in the future [2]. An increase in rice yield and development of stress resilient rice plants are essential for global food security. Moreover, the improvement in grain quality parameters enhances consumer demand and commercial value of rice varieties [7]. Earlier, rice grain quality, climate resilience, disease resistance, and yield have improved via conventional breeding approaches (mutagenesis and hybridization). However, these techniques are time-consuming, tedious, require large mutant screens, and are prone to human biases [4]. Therefore, more powerful, precise, fast, and robust crop improvement approaches, such as genome editing, will be required to meet the rice demand by the ever-growing world population (Figure 1).
Figure 1. Overview of plant breeding approaches for developing rice varieties with improved yield, stress tolerance and grain quality. (A) Conventional breeding for crop improvement, e.g., rice grain quality improvement. (B) Mutational breeding approach for rice grain quality improvement. (C) Genetic engineering for incorporating the desired gene in popular rice variety. (D) Application of gene editing tools for rice plant improvement, e.g., targeting rice grain quality sensitive genes via CRISPR/Cas systems. Upward green arrow shows improved or high grain quality/yield/disease resistance in the plant. Downward red arrow shows deprived or low grain quality/yield/disease resistance in the plant. Q-gene, Quality gene; Cas9, CRISPR-associated protein 9; Cas12a, CRISPR-associated protein 12a; Cas12b, CRISPR-associated protein 12b; Cas13a, CRISPR-associated protein 13a; Cas13b, CRISPR-associated protein 13b; BE, Base Editors; Trans/Recom, Transposases or Recombinases; PE, Prime Editors.
Conventional breeding and mutagenesis techniques drag undesirable genes along with the targeted genes, and take a long time; henceforth, they do not fit the requirements (i.e., of rapidly increasing the production and quality parameters to cope with world hunger and malnutrition challenges). Additionally, hybridization is possible between two plants of the same species, limiting the introduction of new genes and traits. Powerful genome editing technologies (GETs) tackle these limitations of conventional mutational breeding and are capable of transferring a desired trait in any plant species in a short time (Figure 1) and, thus, have great potential for speeding up the breeding programs. However, detailed information about the gene sequence, structure, gene function, novel genes and quantitative trait loci (QTL) responsible for traits of interest is vital for application of GETs [8]. GETs modify a specific gene of the desired trait by cutting DNA via target-specific nucleases; thus, the breeding processes are swift. Site-specific endonucleases (SSE), i.e., zinc finger nucleases, transcription activator-like effector nucleases [9], have been introduced in the last decade and are widely used as gene-editing tools.
Recent advancements in GETs involve the development of a clustered, regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein (Cas) system. There are multiple Cas proteins, such as Cas8, Cas9, Cas12a, or Cpf1 (CRISPR from Prevotella and Francisella1); variants including F. novicida U112 (FnCpf1) and Lachnospiraceae bacterium ND2006 LbCpf1); Cas12b, Cas13a, Cas13b, modified forms, i.e., catalytically dead or endonuclease deficient Cas9 (dCas9), nickase Cas9 (nCas9); and orthologues of Cas9, such as Streptococcus pyogenes Cas9 (SpCas9), Staphylococcus aureus Cas9 (SaCas9), Streptococcus thermophilus Cas9 (StCas9), Neisseria meningitides Ca9 (NmCas9), Campylobacter jejuni Cas9 (CjCas9), etc. [10][11]. They have been used for genome editing through CRISPR technology to improve multiple traits in plants. Among these, the CRISPR/Cas9 system is the most adopted, easier, promising, reliable, and efficient one used for improving yield, stress resilience, herbicide resistance, and end–use quality in several models and crop plants, such as Arabidopsis thalianaNicotiana benthamianaPhyscomitrella patensCamelina sativa, barley, corn/maize, citrus, cucumber, soybean, tobacco, tomato, wheat, and rice [12]. Recently, CRISPR-Cas12a and CRISPR-Cas13 systems, which target DNA and RNA, respectively, have been introduced to overcome the limitations of Cas9, owing to their reliability [13][14]. Furthermore, a new technique named base editing (BE), aiming to improve editing technologies by enhancing their proficiency and accuracy, has been introduced and being applied in plant biology [15][16][17][18]. In addition, recombinases and the discovery of prime editing (PE) technology are also used to improve the competence of the genome editing system [19][20][21][22][23]. A detailed comparison of pre-CRISPR GETs, different Cas protein orthologues, prime, and BE technologies have been illustrated in Figure 2. Keeping in view with the rapid development in the field of genome editing in general and CRISPR technologies in particular, we discuss the advancements made in CRISPR/Cas9, modified Cas proteins, base and prime editing systems, with the passage of time, and their applications, to improve rice grain yield, tolerance to abiotic stresses, disease resistance, herbicide resistance, and end-use quality. Due to the direct consumption of rice grain by human beings, the ethics and regulatory aspects of genetically modified rice plants via GETs are discussed. We also focus on the limitations and future prospects of GETs to improve rice for the above-mentioned traits.
Figure 2. Comparison between different components of various genome-editing tools. The figure presents the models of different genome editing systems, such as ZFN (zinc-finger nucleases), TALEN (transcription activator-like effector nucleases), spCas9 (streptococcus pyogenes CRISPR-associated protein 9), Cas12, Cas13, Base editing, Transposases or recombinases, and prime editing, their evolution, components, class or type of editing system, target nucleic acid, length of target sequence, type of mutations, reagents and methods, and their advantages and disadvantages. PAM, protospacer adjacent motif; sgRNA, single guide RNA; crRNA, CRISPR RNA; Tns Proteins, Transposases proteins; pegRNA, prime editing guide RNA; RT, Reverse Transcription; DNA, Deoxyribonucleic acid; RNA, Ribonucleic acid; RuvC, an endonuclease domain named for an Escherichia coli protein involved in DNA repair; HNH, an endonuclease domain named for characteristic histidine and asparagine residues; HDR, homology-directed repair; indel, insertion and/or deletion; CBEs, cytosine base editors; ABEs, adenine base editors.

2. CRISPR/Cas9 Based Rice Crop Improvement

In the CRISPR/Cas9 genome editing system, Cas9 nuclease introduces double strand breaks (DSBs) in DNA at the sgRNA target site. These DSBs are repaired by the non-homologous end joining (NHEJ) pathway that results in insertion or deletions (indels) at the target site, thus knocking out the targeted gene [12] (Figure 2). The CRISPR/Cas9 system is the most prevalent GET that has been used to improve several agronomic traits of rice, such as grain yield, abiotic stress tolerance, disease resistance, herbicide resistance, in addition to rice grain quality (Figure 3). Classical breeding requires selection of progenies for 6–7 years to obtain the desired level of homozygosity, while the CRISPR/Cas9 system delivers it within a year, making it a powerful plant breeding tool [12]. Herein, we discussed the applications of CRISPR/Cas9 for rice crop improvement.
Figure 3. Potential targets of CRISPR/Cas systems for rice crop improvement. Rice can be improved by targeting any potential negative regulator of yield, quality, biotic and abiotic stress tolerance, and plant physiology. Male sterile (MS) lines can be developed for hybrid development by targeting potential genes such as Thermo-sensitive Male Sterility 5 gene. HM, Heavy Metal; Fe, Iron, Cd, Cadmium; Al, Aluminum; Hg, Mercury; As, Arsenic; Mg, Magnesium.

2.1. CRISPR/Cas9 for Improving Grain Yield of Rice

To date, three distinct strategies have been utilized for improving grain yield of rice by using CRISPR/Cas-based systems:

2.1.1. Improving the Plant Architecture

During the 1960s, manipulation of plant height genes in rice and wheat significantly decreased the plant height, resulting in improved lodging resistance and fertilizer responsiveness that led to considerable increase in grain yield. This is one of the most significant crop improvement events, known as ‘the green revolution’ [24]. Therefore, altering of rice plant architecture through identification of quantitative trait loci (QTL) and transgene transfer has been a prime breeding target for years [25][26][27]. With the additional benefits of being a robust and transgene-free system, CRISPR/Cas9 has been successfully used to alter the plant architecture by editing/knockout of genes/QTL coding for plant height and number of tillers i.e., semi dwarf 1 (SD1) [28]STRONG CULM3/TEOSINTE BRANCH1/FINE CULM1 (SCM3/OsTB1/FC1) [29]Gibberellin-20 oxidase-2 (OsGA20ox2) and SD1 [30].
CRISPR/Cas9-based mutations in two targets of the first codon of OsGA20ox2 reduced the flag leaf length, gibberellins level, and plant height (22.2% reduction), and increased the grain yield by 6.0%. Additionally, OsGA20ox2fructose-bisphosphate aldolase 1glyceraldehyde-3-phosphate dehydrogenaseS-adenosyl methionine synthetase 1, and putative ATP synthase proteins were downregulated in semi-dwarf mutants [30]. Similarly, CRISPR mediated SD1 mutants had resistance to lodging, semi-dwarf plant height, and increased grain yield [28], while OsTB1/FC1 mutants showed increase in the number of tillers [29]. In another study, CRISPR/Cas9 mediated targeting of Ideal Plant Architecture 1 (IPA1) QTL resulted in reduced plant height and increase in number of tillers and, thus, increased the grain yield [31]. Similarly, targeting of rice fruit weight 4OsFWL4 [32] with sgRNA/Cas9 led to increases in flag leaf area, grain length, number of tillers, and grain yield.

2.1.2. Improving the Panicle Architecture

Panicle morphology or architecture related traits, such as panicle length, panicle weight, panicle density, panicle orientation (erect or droopy), number of grains per panicle, grain weight, length, and size are the key factors that determine the final grain yield of rice [25][26][27] and, thus, have been a crucial target for high yielding rice. Several genes and/or QTL for panicle architecture traits has been targeted by the CRISPR/Cas9 system to improve the grain yield of rice (Table 1). For example, sgRNA/Cas9 mediated multiplexed editing of three panicle architecture regions, i.e., DENSE AN D ERECT PANICLE (DEP1), Grain Size 3 (GS3), Grain number 1a (Gn1a), and a plant architecture QTL, Ideal Plant Architecture1 (IPA1) resulted in improved panicle and plant architecture traits. The mutants had erect panicle, improved grain size, and number of grains, more/less number of tillers and reduced plant height, leading to improved grain yield [31]. Similarly, editing of panicle architecture genes, PIN family of auxin efflux carrier-like gene 5b (OsPIN5b) genes by sgRNA/Cas9 system increased the panicle length in mutants as compared to wild type plants, thus increasing the rice grain yield [33], while multiplexed CRISPR mediated editing of Gn1aDEP1 and GS3 increased the number of grains per panicle, panicle architecture, panicle orientation, grain size, and grain yield [34][35]. Additionally, CRISPR based targeting of grain width/weight 256 and 8 (GW2GW5GW6and GW8) and GS3 [36][37][38][39] resulted in enhanced grain width, weight, size, and grain yield.
Table 1. Key examples of application of CRISPR/Cas9 system for improving rice grain yield and related traits.
Targeted Trait Targeted Gene/s Cas9 Promoter/S sgRNA Promoter/S Improved Trait/s in Mutants Ref.
Plant Architecture SD1 2 × 35S pro gRNA1SD1
Grain yield, plant architecture, semi-dwarf plants, resistance to lodging [28]
OsGA20ox2 Pubi-H OsU6a OsU6b Grain yield, plant architecture, semi-dwarf plants, reduced gibberellins and flag leaf length [30]
SCM1/SD1SCM3/OsTB1/FC1SCM2/APO1 2 × 35S pro
gRNA1, gRNA2, gRNA3, gRNA4, gRNA5, gRNA6 Plant architecture, number of tillers, panicle architecture, larger panicles, stem cross-section area [29]
OsFWL4 Maize Ubi1 OsU6 Grain yield, plant architecture, number of tillers, flag leaf area, grain length, number of cells in flag leaf [32]
IPA1 Maize Ubi1 U6a Grain yield, plant architecture, number of tillers, reduced plant height [31]
Panicle Architecture IPA1GS3DEP1Gn1a Maize Ubi1 U6a Grain yield, plant architecture, panicle architecture, number of tillers, grain size, dense erect panicles, grain number [31]
GS3OsGW2Gn1a p35S OsU6
Grain yield, grain size, grain weight, number of grains per panicle [37]
OsPIN5bGS3 2 × 35S pro
OsU6a Grain yield, panicle architecture, panicle length, grain size [33]
GW25 and 6 pUBQ OsU3, OsU6 TaU3 Grain yield, grain weight [36]
OsSPL16/qGW8 2 × 35S pro
OsU6a Grain yield, grain weight, grain size [38]
Gn1aGS3 2 × 35S pro U3 Grain yield, panicle architecture, number of grains per panicle, grain size [35]
Gn1aDEP1 2 × 35S pro OsU3 Grain yield, panicle architecture, panicle orientation, number of grains per panicle [34]
Cytochrome P450OsBADH2 Pubi-H U6a
Grain yield, grain size, aroma (2-acetyl-1-pyrroline (2AP) content) [39]
ABA Signaling Pathway PYL1PYL4PYL6 Maize Ubi1 OsU6
Number of grains, grain yield [40]
OsPYL9 PubiH OsU6a
Grain yield under normal and limited water availability [41]

2.2. CRISPR/Cas9 for Abiotic Stress Tolerant Rice

Constant rise in global temperature is causing global warming, or climate change, leading to more frequent drought spells and soil salinization [4], thus threatening crop production. Rice faces several abiotic stresses during its life cycle and drought is the most eminent threat to rice production. This is due to the fact that 3000 L of water is needed to produce 1 kg rice grains, but a shallow root system and a thin cuticle makes it one of the most drought-susceptible plants that could face 100% yield loss [5]. Similarly, for rice plants grown in the highlands of China, Japan, Korea, etc., cold temperatures during reproduction adversely affect the rice grain yield and quality [1]. Additionally, rice is more susceptible to salt stress as compared to other cereals, such as wheat [42]; thus, rice production could be reduced across the globe by 50% [6]. The situation becomes complicated as drought and salinity tolerance are complex traits that are conferred by several genes, proteins, transporter proteins, transcription factors (TFs), ion transporters, microRNAs (miRNAs), hormones, metabolites, and ions [4][43]. Therefore, classical breeding has limited success and power to accumulate these genes in cultivars and development of abiotic stress tolerant plants. Being a powerful tool that can target any gene in any organism, the CRISRP/Cas9 system has been successfully utilized to improve abiotic stress tolerance in corn, rice, tomato, wheat, Arabidopsis thaliana, and Physcomitrella patens [12][44]. Indeed, several groups have successfully demonstrated the power of CRISPR/Cas9 system for development of climate resilient (drought, salinity, cold, and osmotic stress tolerant) rice (Table 2). Their outcomes and CRISPR-based approaches for the purpose are described below.
Table 2. Examples of CRISPR/Cas9 system for enhancing abiotic stress tolerance of rice.
Stress Edited Gene/S Cas9 Promoter/S sgRNA Promoter/S Improved Traits in Mutants Ref.
Drought OsSAPK2 Pubi-H U3 Reduced drought, salinity, and osmotic stress tolerance; role of gene in ROS scavenging, stomatal conductance and ABA signaling [45]
OsPYL9 PubiH OsU6a
Drought tolerance; grain yield, antioxidant activities, chlorophyll content, ABA accumulation, leaf cuticle wax, survival rate, stomatal conductance, transpiration rate [41]
OsERA1 Not defined pCAMBIA1300 Drought tolerance, stomatal conductance, increased sensitivity to ABA. [46]
OsSRL1OsSRL2 Pubi-H U6a
Improved drought tolerance; Reduced number of stomata, stomatal conductance, transpiration rate and malondialdehyde (MDA) content; Improved panicle number, abscisic acid (ABA) content, catalase (CAT), superoxide dismutase (SOD) and survival rate [47]
DST OsUBQ OsU3 Drought tolerance, leaf architecture, reduced stomatal density, enhanced leaf water retention [48]
OsmiR535 UBI
35S pro
Drought tolerance, ABA insensitivity, number of lateral roots (73% more), shoot length (30% longer), primary root length [49]
Salinity and Osmotic Stress OsSAPK2 Pubi-H U3 Reduced salinity and osmotic stress tolerance, role of gene in ROS scavenging [45]
OsRR22 2 × 35S pro
OsU6a Salinity tolerance, shoot length, shoot fresh and dry weight [50]
DST OsUBQ OsU3 Salinity tolerance, osmotic tolerance [48]
OsmiR535 UBI
35S pro
Salinity tolerance, osmotic tolerance, shoot length (86.8%), number of lateral roots (514% as compared with line overexpressing MIR535), primary root length (35.8%) [49]
Cold Stress OsAnn3 UBI
35S pro
U3 Response to cold tolerance [51]
OsMYB30 2 × 35S pro
OsU6a Cold tolerance [33]

2.3. CRISPR/Cas9 for Improving Disease Resistance of Rice

Potato blight in Ireland (also known as the Great Famine or the Irish Potato Famine) during 1845–1853, the Great Bengal Famine during 1943, and maize leaf bight in the USA during 1969–1970 are examples of crop failure due to plant diseases. Some of these events resulted in the deaths and migration of millions [24]. Over 800 million people are underfed across the globe due to plant diseases [24]; thus are a threat to food security. Among the various diseases faced by rice, bacterial leaf blight (BLB), caused by a bacteria Xanthomonas oryzae pv. Oryza, is one of the most devastating diseases that can reduce the grain yield by 70% (, accessed on 29 June 2021). Similarly, Magnaporthe oryzae fungus causes rice blast disease that could result in 30–100% yield loss [52]. Therefore, management of rice diseases is crucial to feed the growing population.
Improving plant disease resistance through classical breeding approaches, such as back crossing breeding, multiline breeding, and stacking of resistance (R) gene/s, is a lengthy and tedious process that consumes years [53][54]. Whereas, targeting of different susceptibility (S) factors and gene/s through the CRISPR/Cas9 system has fast-forwarded the development of broad-spectrum disease resistance within a year [12][55][56][57][58][59]. Undoubtedly, CRISPR/Cas9 technology has been utilized to develop broad-spectrum resistance against several bacteria, fungi, and viruses (Table 3). In rice, two distinct CRISPR/Cas9-mediated approaches has been used to improve disease resistance.
Table 3. Examples of CRISPR/Cas9 system for enhancing the disease resistance of rice.
Pathogen Improved Disease/Pathogen Resistance Targeted Gene/S Cas9 Promoter/S sgRNA Promoter/S Ref.
Fungi Rice blast
(Magnaporthe oryzae)
OsERF922 2 × 35S pro
OsU6a [60]
OsALB1OsRSY1, TrpC, TEF1 SNR52, U6–1,
OsPi21 PubiH OsU6a, OsU3 [62]
OsPi21 PubiH OsU6a, OsU6b [63]
Bacteria Bacterial leaf blight
(Xanthomonas oryzae pv. Oryzae)
OsSWEET14OsSWEET11 CaMV35S U6 [64]
OsSWEET11 or Os8N3 35S-p OsU6a [65]
OsXa13/SWEET11 PubiH OsU6a, OsU3 [62]
OsSWEET11OsSWEET14 35S CaMV SW11, SW14 [56]
OsSWEET14 Pubi or P35S OsU3, OsU6b, OsU6c [57]
OsSWEET14 35S, Ubi OsU3 [58]
OsXa13/ SWEET11 35S, Ubi U3, U6a [66]
Virus Rice tungro spherical virus (RTSV) eIF4G ZmUBI1,
TaU6 [67]

2.4. CRISPR/Cas9 for Herbicide Resistant Rice

Several herbicides, such as ‘Basta’, and glyphosate N-(phosphonomethyl) glycine are used to kill weeds in over 130 countries [68]. It is important that herbicides just kill the weeds and not the crop plants. Traditionally, DNA recombinant technology or a transgenic approach has been utilized extensively to improve herbicide resistance in corn, cotton, and soybean [68][69]. Due to rigorous biosafety checks for genetically modified organisms (GMO) or transgenic plants, CRISPR/Cas9-mediated herbicide resistance has become more popular in recent years [18][70][71][72]. For example, CRISPR/Cas9-mediated knockout of the Acetolactate Synthase (OsALS) [73] gene conferred resistance against and imazapic (IMP) and imazethapyr (IMT) in mutant rice plants. Similarly, knockout of the OsALS gene [72] and multiplexed editing of OsALS and FTIP1e genes [18] led to increased resistance against bispyribac sodium and imazamox pesticides, respectively. Moreover, a novel CRISPR/Cas9 mediated knock-in/replacement of 5-enolpyruvylshikimate-3-phosphate synthase (OsEPSPS) gene [71] increased the glyphosate resistance in rice.

2.5. CRISPR/Cas9 for Improving Rice Quality Parameters

Rice grain quality depends on the characteristics that could meet consumer demands and preferences. The grain quality parameters of rice include physical appearance, milling quality, cooking, eating, and some nutritional qualities [2]. The application of the CRISPR/Cas9 system for rice grain quality improvement has speeded up rice breeding with desirable traits (Figure 4).
Figure 4. General strategy and stepwise method of development of transgene-free new rice variety with improved desirable traits using genome-editing tools. The process starts with the rice genome databases surfing and gene mining. After selecting the target gene, target site with PAM sequence (NGG) is selected. Then linker sequence (presented in green color) is added on the 5′ of the target site. Then vectors (Cas9 and sgRNA) are constructed and cloned into a new vector that carry the cauliflower mosaic virus promoter (CaMV 35S) promoter and vector backbone. Afterwards, the CRISPR/Cas9 construct carrying the target sequence is transformed into rice via a gene gun or the agrobacterium-mediated transformation method. Positive seedlings are screened and phenotyped. Detection of transgene-free plants occurred via HPT (Hygromycin) test, Cas9 or sgRNA test. Afterwards, only transgene-free plants will be further tested in field trials and commercialized.


  1. Zhang, Q.; Chen, Q.; Wang, S.; Hong, Y.; Wang, Z. Rice and cold stress: Methods for its evaluation and summary of cold tolerance-related quantitative trait loci. Rice 2014, 7, 24.
  2. Zhao, M.; Lin, Y.; Chen, H. Improving nutritional quality of rice for human health. Theor. Appl. Genet. 2020, 133, 1397–1413.
  3. Ray, D.K.; Mueller, N.D.; West, P.C.; Foley, J.A. Yield Trends Are Insufficient to Double Global Crop Production by 2050. PLoS ONE 2013, 8, e66428.
  4. Budak, H.; Hussain, B.; Khan, Z.; Ozturk, N.Z.; Ullah, N. From genetics to functional genomics: Improvement in drought signaling and tolerance in wheat. Front. Plant Sci. 2015, 6, 1–13.
  5. Oladosu, Y.; Rafii, M.Y.; Samuel, C.; Fatai, A.; Magaji, U.; Kareem, I.; Kamarudin, Z.S.; Muhammad, I.; Kolapo, K. Drought Resistance in Rice from Conventional to Molecular Breeding: A Review. Int. J. Mol. Sci. 2019, 20, 3519.
  6. Ma, N.L.; Che Lah, W.A.; Abd. Kadir, N.; Mustaqim, M.; Rahmat, Z.; Ahmad, A.; Lam, S.D.; Ismail, M.R. Susceptibility and tolerance of rice crop to salt threat: Physiological and metabolic inspections. PLoS ONE 2018, 13, e0192732.
  7. Hsu, P.D.; Lander, E.S.; Zhang, F. Development and Applications of CRISPR-Cas9 for Genome Engineering. Cell 2014, 157, 1262–1278.
  8. Jiang, Y.; Cai, Z.; Xie, W.; Long, T.; Yu, H.; Zhang, Q. Rice functional genomics research: Progress and implications for crop genetic improvement. Biotechnol. Adv. 2012, 30, 1059–1070.
  9. Kim, H.J.; Lee, H.J.; Kim, H.; Cho, S.W.; Kim, J.-S. Targeted genome editing in human cells with zinc finger nucleases constructed via modular assembly. Genome Res. 2009, 19, 1279–1288.
  10. Cebrian-Serrano, A.; Davies, B. CRISPR-Cas orthologues and variants: Optimizing the repertoire, specificity and delivery of genome engineering tools. Mamm. Genome 2017, 28, 247–261.
  11. Naeem, M.; Majeed, S.; Hoque, M.Z.; Ahmad, I. Latest Developed Strategies to Minimize the Off-Target Effects in CRISPR-Cas-Mediated Genome Editing. Cells 2020, 9, 1608.
  12. Hussain, B.; Lucas, S.J.; Budak, H. CRISPR/Cas9 in plants: At play in the genome and at work for crop improvement. Brief. Funct. Genom. 2018, 17, 319–328.
  13. Adli, M. The CRISPR tool kit for genome editing and beyond. Nat. Commun. 2018, 9, 1911.
  14. Zhang, Y.; Massel, K.; Godwin, I.D.; Gao, C. Applications and potential of genome editing in crop improvement. Genome Biol. 2018, 19, 210.
  15. Komor, A.C.; Kim, Y.B.; Packer, M.S.; Zuris, J.A.; Liu, D.R. Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage. Nature 2016, 533, 420–424.
  16. Hua, K.; Tao, X.; Yuan, F.; Wang, D.; Zhu, J.-K. Precise A·T to G·C Base Editing in the Rice Genome. Mol. Plant 2018, 11, 627–630.
  17. Hua, K.; Tao, X.; Liang, W.; Zhang, Z.; Gou, R.; Zhu, J. Simplified adenine base editors improve adenine base editing efficiency in rice. Plant Biotechnol. J. 2020, 18, 770–778.
  18. Shimatani, Z.; Kashojiya, S.; Takayama, M.; Terada, R.; Arazoe, T.; Ishii, H.; Teramura, H.; Yamamoto, T.; Komatsu, H.; Miura, K.; et al. Targeted base editing in rice and tomato using a CRISPR-Cas9 cytidine deaminase fusion. Nat. Biotechnol. 2017, 35, 441–443.
  19. Lin, Q.; Zong, Y.; Xue, C.; Wang, S.; Jin, S.; Zhu, Z.; Wang, Y.; Anzalone, A.V.; Raguram, A.; Doman, J.L.; et al. Prime genome editing in rice and wheat. Nat. Biotechnol. 2020, 38, 582–585.
  20. Xu, W.; Zhang, C.; Yang, Y.; Zhao, S.; Kang, G.; He, X.; Song, J.; Yang, J. Versatile Nucleotides Substitution in Plant Using an Improved Prime Editing System. Mol. Plant 2020, 13, 675–678.
  21. Tang, X.; Sretenovic, S.; Ren, Q.; Jia, X.; Li, M.; Fan, T.; Yin, D.; Xiang, S.; Guo, Y.; Liu, L.; et al. Plant Prime Editors Enable Precise Gene Editing in Rice Cells. Mol. Plant 2020, 13, 667–670.
  22. Li, H.; Li, J.; Chen, J.; Yan, L.; Xia, L. Precise Modifications of Both Exogenous and Endogenous Genes in Rice by Prime Editing. Mol. Plant 2020, 13, 671–674.
  23. Hua, K.; Jiang, Y.; Tao, X.; Zhu, J. Precision genome engineering in rice using prime editing system. Plant Biotechnol. J. 2020, 18, 2167–2169.
  24. Hussain, B. Modernization in plant breeding approaches for improving biotic stress resistance in crop plants. Turkish J. Agric. For. 2015, 39, 515–530.
  25. Jiao, Y.; Wang, Y.; Xue, D.; Wang, J.; Yan, M.; Liu, G.; Dong, G.; Zeng, D.; Lu, Z.; Zhu, X.; et al. Regulation of OsSPL14 by OsmiR156 defines ideal plant architecture in rice. Nat. Genet. 2010, 42, 541–544.
  26. Okada, S.; Sasaki, M.; Yamasaki, M. A novel Rice QTL qOPW11 Associated with Panicle Weight Affects Panicle and Plant Architecture. Rice 2018, 11, 53.
  27. Zhao, L.; Tan, L.; Zhu, Z.; Xiao, L.; Xie, D.; Sun, C. PAY 1 improves plant architecture and enhances grain yield in rice. Plant J. 2015, 83, 528–536.
  28. Hu, X.; Cui, Y.; Dong, G.; Feng, A.; Wang, D.; Zhao, C.; Zhang, Y.; Hu, J.; Zeng, D.; Guo, L.; et al. Using CRISPR-Cas9 to generate semi-dwarf rice lines in elite landraces. Sci. Rep. 2019, 9, 19096.
  29. Cui, Y.; Hu, X.; Liang, G.; Feng, A.; Wang, F.; Ruan, S.; Dong, G.; Shen, L.; Zhang, B.; Chen, D.; et al. Production of novel beneficial alleles of a rice yield-related QTL by CRISPR/Cas9. Plant Biotechnol. J. 2020, 18, 1987–1989.
  30. Han, Y.; Teng, K.; Nawaz, G.; Feng, X.; Usman, B.; Wang, X.; Luo, L.; Zhao, N.; Liu, Y.; Li, R. Generation of semi-dwarf rice (Oryza sativa L.) lines by CRISPR/Cas9-directed mutagenesis of OsGA20ox2 and proteomic analysis of unveiled changes caused by mutations. 3 Biotech 2019, 9, 387.
  31. Li, M.; Li, X.; Zhou, Z.; Wu, P.; Fang, M.; Pan, X.; Lin, Q.; Luo, W.; Wu, G.; Li, H. Reassessment of the Four Yield-related Genes Gn1a, DEP1, GS3, and IPA1 in Rice Using a CRISPR/Cas9 System. Front. Plant Sci. 2016, 7, 377.
  32. Gao, Q.; Li, G.; Sun, H.; Xu, M.; Wang, H.; Ji, J.; Wang, D.; Yuan, C.; Zhao, X. Targeted Mutagenesis of the Rice FW 2.2-Like Gene Family Using the CRISPR/Cas9 System Reveals OsFWL4 as a Regulator of Tiller Number and Plant Yield in Rice. Int. J. Mol. Sci. 2020, 21, 809.
  33. Zeng, Y.; Wen, J.; Zhao, W.; Wang, Q.; Huang, W. Rational Improvement of Rice Yield and Cold Tolerance by Editing the Three Genes OsPIN5b, GS3, and OsMYB30 With the CRISPR–Cas9 System. Front. Plant Sci. 2020, 10.
  34. Huang, L.; Zhang, R.; Huang, G.; Li, Y.; Melaku, G.; Zhang, S.; Chen, H.; Zhao, Y.; Zhang, J.; Zhang, Y.; et al. Developing superior alleles of yield genes in rice by artificial mutagenesis using the CRISPR/Cas9 system. Crop J. 2018, 6, 475–481.
  35. Shen, L.; Wang, C.; Fu, Y.; Wang, J.; Liu, Q.; Zhang, X.; Yan, C.; Qian, Q.; Wang, K. QTL editing confers opposing yield performance in different rice varieties. J. Integr. Plant Biol. 2018, 60, 89–93.
  36. Xu, R.; Yang, Y.; Qin, R.; Li, H.; Qiu, C.; Li, L.; Wei, P.; Yang, J. Rapid improvement of grain weight via highly efficient CRISPR/Cas9-mediated multiplex genome editing in rice. J. Genet. Genom. 2016, 43, 529–532.
  37. Zhou, J.; Xin, X.; He, Y.; Chen, H.; Li, Q.; Tang, X.; Zhong, Z.; Deng, K.; Zheng, X.; Akher, S.A.; et al. Multiplex QTL editing of grain-related genes improves yield in elite rice varieties. Plant Cell Rep. 2019, 38, 475–485.
  38. Usman, B.; Nawaz, G.; Zhao, N.; Liao, S.; Qin, B.; Liu, F.; Liu, Y.; Li, R. Programmed editing of rice (Oryza sativa l.) osspl16 gene using crispr/cas9 improves grain yield by modulating the expression of pyruvate enzymes and cell cycle proteins. Int. J. Mol. Sci. 2021, 22, 249.
  39. Usman, B.; Nawaz, G.; Zhao, N.; Liu, Y.; Li, R. Generation of High Yielding and Fragrant Rice (Oryza sativa L.) Lines by CRISPR/Cas9 Targeted Mutagenesis of Three Homoeologs of Cytochrome P450 Gene Family and OsBADH2 and Transcriptome and Proteome Profiling of Revealed Changes Triggered by Mutations. Plants 2020, 9, 788.
  40. Miao, C.; Xiao, L.; Hua, K.; Zou, C.; Zhao, Y.; Bressan, R.A.; Zhu, J.-K. Mutations in a subfamily of abscisic acid receptor genes promote rice growth and productivity. Proc. Natl. Acad. Sci. USA 2018, 115, 6058–6063.
  41. Usman, B.; Nawaz, G.; Zhao, N.; Liao, S.; Liu, Y.; Li, R. Precise Editing of the OsPYL9 Gene by RNA-Guided Cas9 Nuclease Confers Enhanced Drought Tolerance and Grain Yield in Rice (Oryza sativa L.) by Regulating Circadian Rhythm and Abiotic Stress Responsive Proteins. Int. J. Mol. Sci. 2020, 21, 7854.
  42. Hussain, B.; KHAN, A.S.; Ali, Z. Genetic variation in wheat germplasm for salinity tolerance at seedling stage: Improved statistical inference. Turkish J. Agric. For. 2015, 39, 182–192.
  43. Hussain, B.; Lucas, S.J.; Ozturk, L.; Budak, H. Mapping QTLs conferring salt tolerance and micronutrient concentrations at seedling stagein wheat. Sci. Rep. 2017, 7, 15662.
  44. Ahmad, S.; Sheng, Z.; Jalal, R.S.; Tabassum, J.; Ahmed, F.K.; Hu, S.; Shao, G.; Wei, X.; Abd-Elsalam, K.A.; Hu, P.; et al. CRISPR–Cas technology towards improvement of abiotic stress tolerance in plants. In CRISPR and RNAi Systems; Elsevier: Amsterdam, The Netherlands, 2021; pp. 755–772.
  45. Lou, D.; Wang, H.; Liang, G.; Yu, D. OsSAPK2 Confers Abscisic Acid Sensitivity and Tolerance to Drought Stress in Rice. Front. Plant Sci. 2017, 8, 1–15.
  46. Ogata, T.; Ishizaki, T.; Fujita, M.; Fujita, Y. CRISPR/Cas9-targeted mutagenesis of OsERA1 confers enhanced responses to abscisic acid and drought stress and increased primary root growth under nonstressed conditions in rice. PLoS ONE 2020, 15, e0243376.
  47. Liao, S.; Qin, X.; Luo, L.; Han, Y.; Wang, X.; Usman, B.; Nawaz, G.; Zhao, N.; Liu, Y.; Li, R. CRISPR/Cas9-Induced Mutagenesis of Semi-Rolled Leaf1,2 Confers Curled Leaf Phenotype and Drought Tolerance by Influencing Protein Expression Patterns and ROS Scavenging in Rice (Oryza sativa L.). Agronomy 2019, 9, 728.
  48. Santosh Kumar, V.V.; Verma, R.K.; Yadav, S.K.; Yadav, P.; Watts, A.; Rao, M.V.; Chinnusamy, V. CRISPR-Cas9 mediated genome editing of drought and salt tolerance (OsDST) gene in indica mega rice cultivar MTU1010. Physiol. Mol. Biol. Plants 2020, 26, 1099–1110.
  49. Yue, E.; Cao, H.; Liu, B. OsmiR535, a Potential Genetic Editing Target for Drought and Salinity Stress Tolerance in Oryza sativa. Plants 2020, 9, 1337.
  50. Zhang, A.; Liu, Y.; Wang, F.; Li, T.; Chen, Z.; Kong, D.; Bi, J.; Zhang, F.; Luo, X.; Wang, J.; et al. Enhanced rice salinity tolerance via CRISPR/Cas9-targeted mutagenesis of the OsRR22 gene. Mol. Breed. 2019, 39, 47.
  51. Shen, C.; Que, Z.; Xia, Y.; Tang, N.; Li, D.; He, R.; Cao, M. Knock out of the annexin gene OsAnn3 via CRISPR/Cas9-mediated genome editing decreased cold tolerance in rice. J. Plant Biol. 2017, 60, 539–547.
  52. Asibi, A.E.; Chai, Q.; Coulter, J.A. Rice Blast: A Disease with Implications for Global Food Security. Agronomy 2019, 9, 451.
  53. Pandolfi, V.; Neto, J.; Silva, M.; Amorim, L.; Wanderley-Nogueira, A.; Silva, R.; Kido, E.; Crovella, S.; Iseppon, A. Resistance (R) Genes: Applications and Prospects for Plant Biotechnology and Breeding. Curr. Protein Pept. Sci. 2017, 18, 323–334.
  54. Hussain, B.; Akpınar, B.A.; Alaux, M.; Algharib, A.M.; Sehgal, D.; Ali, Z.; Appels7, R.; Aradottir, G.I.; Batley, J.; Bellec, A.; et al. Wheat genomics and breeding: Bridging the gap. Agrirxiv 2021, 1–57.
  55. Oliva, R.; Ji, C.; Atienza-Grande, G.; Huguet-Tapia, J.C.; Perez-Quintero, A.; Li, T.; Eom, J.-S.; Li, C.; Nguyen, H.; Liu, B.; et al. Broad-spectrum resistance to bacterial blight in rice using genome editing. Nat. Biotechnol. 2019, 37, 1344–1350.
  56. Xu, Z.; Xu, X.; Gong, Q.; Li, Z.; Li, Y.; Wang, S.; Yang, Y.; Ma, W.; Liu, L.; Zhu, B.; et al. Engineering Broad-Spectrum Bacterial Blight Resistance by Simultaneously Disrupting Variable TALE-Binding Elements of Multiple Susceptibility Genes in Rice. Mol. Plant 2019, 12, 1434–1446.
  57. Zeng, X.; Luo, Y.; Vu, N.T.Q.; Shen, S.; Xia, K.; Zhang, M. CRISPR/Cas9-mediated mutation of OsSWEET14 in rice cv. Zhonghua11 confers resistance to Xanthomonas oryzae pv. oryzae without yield penalty. BMC Plant Biol. 2020, 20, 313.
  58. Zafar, K.; Khan, M.Z.; Amin, I.; Mukhtar, Z.; Yasmin, S.; Arif, M.; Ejaz, K.; Mansoor, S. Precise CRISPR-Cas9 Mediated Genome Editing in Super Basmati Rice for Resistance Against Bacterial Blight by Targeting the Major Susceptibility Gene. Front. Plant Sci. 2020, 11.
  59. Ahmad, S.; Wei, X.; Sheng, Z.; Hu, P.; Tang, S. CRISPR/Cas9 for development of disease resistance in plants: Recent progress, limitations and future prospects. Brief. Funct. Genom. 2020, 19, 26–39.
  60. Wang, F.; Wang, C.; Liu, P.; Lei, C.; Hao, W.; Gao, Y.; Liu, Y.G.; Zhao, K. Enhanced rice blast resistance by CRISPR/ Cas9-Targeted mutagenesis of the ERF transcription factor gene OsERF922. PLoS ONE 2016, 11, e0154027.
  61. Foster, A.J.; Martin-Urdiroz, M.; Yan, X.; Wright, H.S.; Soanes, D.M.; Talbot, N.J. CRISPR-Cas9 ribonucleoprotein-mediated co-editing and counterselection in the rice blast fungus. Sci. Rep. 2018, 8, 14355.
  62. Li, S.; Shen, L.; Hu, P.; Liu, Q.; Zhu, X.; Qian, Q.; Wang, K.; Wang, Y. Developing disease-resistant thermosensitive male sterile rice by multiplex gene editing. J. Integr. Plant Biol. 2019, 61, 1201–1205.
  63. Nawaz, G.; Usman, B.; Peng, H.; Zhao, N.; Yuan, R.; Liu, Y.; Li, R. Knockout of Pi21 by CRISPR/Cas9 and iTRAQ-Based Proteomic Analysis of Mutants Revealed New Insights into M. oryzae Resistance in Elite Rice Line. Genes (Basel) 2020, 11, 735.
  64. Jiang, W.; Zhou, H.; Bi, H.; Fromm, M.; Yang, B.; Weeks, D.P. Demonstration of CRISPR/Cas9/sgRNA-mediated targeted gene modification in Arabidopsis, tobacco, sorghum and rice. Nucleic Acids Res. 2013, 41, e188.
  65. Kim, Y.-A.; Moon, H.; Park, C.-J. CRISPR/Cas9-targeted mutagenesis of Os8N3 in rice to confer resistance to Xanthomonas oryzae pv. oryzae. Rice 2019, 12, 67.
  66. Li, C.; Li, W.; Zhou, Z.; Chen, H.; Xie, C.; Lin, Y. A new rice breeding method: CRISPR/Cas9 system editing of the Xa13 promoter to cultivate transgene-free bacterial blight-resistant rice. Plant Biotechnol. J. 2020, 18, 313–315.
  67. Macovei, A.; Sevilla, N.R.; Cantos, C.; Jonson, G.B.; Slamet-Loedin, I.; Čermák, T.; Voytas, D.F.; Choi, I.-R.; Chadha-Mohanty, P. Novel alleles of rice eIF4G generated by CRISPR/Cas9-targeted mutagenesis confer resistance to Rice tungro spherical virus. Plant Biotechnol. J. 2018, 16, 1918–1927.
  68. Sang, Y.; Mejuto, J.-C.; Xiao, J.; Simal-Gandara, J. Assessment of Glyphosate Impact on the Agrofood Ecosystem. Plants 2021, 10, 405.
  69. Hussain, B.; Mahmood, S. Development of transgenic cotton for combating biotic and abiotic stresses. In Cotton Production and Uses: Agronomy, Crop Protection, and Postharvest Technologies; Springer: Singapore, 2020; pp. 527–545. ISBN 9789811514722.
  70. Shahzad, R.; Jamil, S.; Ahmad, S.; Nisar, A.; Amina, Z.; Saleem, S.; Zaffar Iqbal, M.; Muhammad Atif, R.; Wang, X. Harnessing the potential of plant transcription factors in developing climate resilient crops to improve global food security: Current and future perspectives. Saudi J. Biol. Sci. 2021, 28, 2323–2341.
  71. Li, J.; Meng, X.; Zong, Y.; Chen, K.; Zhang, H.; Liu, J.; Li, J.; Gao, C. Gene replacements and insertions in rice by intron targeting using CRISPR–Cas9. Nat. Plants 2016, 2, 16139.
  72. Sun, Y.; Zhang, X.; Wu, C.; He, Y.; Ma, Y.; Hou, H.; Guo, X.; Du, W.; Zhao, Y.; Xia, L. Engineering Herbicide-Resistant Rice Plants through CRISPR/Cas9-Mediated Homologous Recombination of Acetolactate Synthase. Mol. Plant 2016, 9, 628–631.
  73. Wang, F.; Xu, Y.; Li, W.; Chen, Z.; Wang, J.; Fan, F.; Tao, Y.; Jiang, Y.; Zhu, Q.-H.; Yang, J. Creating a novel herbicide-tolerance OsALS allele using CRISPR/Cas9-mediated gene editing. Crop J. 2021, 9, 305–312.
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    Ahmad, S. Genome-Editing Systems in Rice Improvement. Encyclopedia. Available online: (accessed on 04 July 2022).
    Ahmad S. Genome-Editing Systems in Rice Improvement. Encyclopedia. Available at: Accessed July 04, 2022.
    Ahmad, Shakeel. "Genome-Editing Systems in Rice Improvement," Encyclopedia, (accessed July 04, 2022).
    Ahmad, S. (2021, July 13). Genome-Editing Systems in Rice Improvement. In Encyclopedia.
    Ahmad, Shakeel. ''Genome-Editing Systems in Rice Improvement.'' Encyclopedia. Web. 13 July, 2021.