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Review

The Development of Herbicide Resistance Crop Plants Using CRISPR/Cas9-Mediated Gene Editing

State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
*
Author to whom correspondence should be addressed.
Genes 2021, 12(6), 912; https://doi.org/10.3390/genes12060912
Submission received: 12 May 2021 / Revised: 4 June 2021 / Accepted: 10 June 2021 / Published: 12 June 2021
(This article belongs to the Section Plant Genetics and Genomics)

Abstract

:
The rapid increase in herbicide-resistant weeds creates a huge challenge to global food security because it can reduce crop production, causing considerable losses. Combined with a lack of novel herbicides, cultivating herbicide-resistant crops becomes an effective strategy to control weeds because of reduced crop phytotoxicity, and it expands the herbicidal spectrum. Recently developed clustered regularly interspaced short palindromic repeat/CRISPR-associated protein (CRISPR/Cas)-mediated genome editing techniques enable efficiently targeted modification and hold great potential in creating desired plants with herbicide resistance. In the present review, we briefly summarize the mechanism responsible for herbicide resistance in plants and then discuss the applications of traditional mutagenesis and transgenic breeding in cultivating herbicide-resistant crops. We mainly emphasize the development and use of CRISPR/Cas technology in herbicide-resistant crop improvement. Finally, we discuss the future applications of the CRISPR/Cas system for developing herbicide-resistant crops.

1. Introduction

The world population is expected to reach 10 billion by the year 2050, an increase of 34%. As a result, the global grain yield needs to increase by 70%, according to the Food and Agriculture Organization of the United Nations, to meet the demand of the world population [1,2]. However, global food security has suffered other challenges because of climate change, reduced arable land, scarcity of water, and biotic and abiotic stresses [3], which could affect crop production and cause enormous losses.
Weed damage is one of the main obstacles in crop production [4]. The presence of weeds in farmland will compete with crops for growth space, water, fertilizer, sunlight, and spread pests and diseases directly or indirectly [5,6], thereby inhibiting crop growth, reducing crop yields, and even seriously affecting the quality of crops [7,8]. Additionally, several weed seeds or pollen contain toxins; adulteration in crop seeds can cause poisoning to humans and animals. At present, chemical herbicides have been widely used in agronomic crops as the primary method to control weeds due to their economic and effective effects [9]. However, herbicide-resistant weeds quickly followed due to the extensive and recurrent use of the same herbicides. Cultivation of herbicide-resistant crops is an effective measure to control weeds, which can reduce crop phytotoxicity due to herbicide application [10], expand the herbicidal spectrum [11], and reduce the cost of weeding [12]. Thus, developing herbicide resistance crops is the most efficient strategy to control weed proliferation and tremendously increase crop productivity [13].
Previously, traditional mutagenesis breeding played an important role in improving herbicide-resistant crops, but it is labor-intensive and time-consuming. After the transgenic techniques became available, it has been successfully used for crop improvement in the past few decades [14,15]. Moreover, transgenic herbicide-resistant crops have also increased dramatically [16]. However, due to the transfer of foreign genes, the promotion and use of genetically modified products are restricted, and the wide application of this approach is also limited [17]. Therefore, a more precise breeding technique is highly required.
Since the clustered regularly interspaced short palindromic repeats/CRISPR-associated (CRISPR/Cas) genetic scissors were discovered in 2012 [18,19], CRISPR/Cas-based techniques have been successfully used to accelerate plant breeding for desirable traits. These traits include increased yield and nutritional value, stress tolerance, and pest and herbicide resistance because of its simplicity, flexibility, and high specificity. The CRISPR/Cas system generates double-strand breaks (DSBs) at target loci [19], and two main pathways can repair the DSBs, namely, nonhomologous end-joining (NHEJ), an error-prone repair system that often allows the introduction of deletions, insertions, or substitutions [20], and homology-directed repair (HDR) when a donor template with the homologous sequence is available [21]. NHEJ is the preferred repair pathway, because it does not require a homologous repair template [22]. If the target sequence is near microhomologous sequences, then the DSBs may be repaired through microhomology-mediated end-joining, resulting in fragment deletions of the plant genome with higher efficiency [23,24].
In this review, we briefly summarize the mechanism and site mutations that confer resistance to herbicides in plants and discuss the differences between traditional mutagenesis and transgenic breeding in cultivating herbicide-resistant crops. Importantly, we focus on the development and use of CRISPR/Cas technology in herbicide-resistant crop improvement. Additionally, we discuss the potential applications of the methods for herbicide-resistant crops. We hope that this review provides new insights for the future directions of genome editing technology to improve crop genetic breeding.

2. Site Mutations Confer Resistance to Herbicides in Plants

Herbicides can interfere with and inhibit the metabolic processes of plants, thus causing plant death. Therefore, they are widely used for weed control in crop fields. However, the prolonged and extensive use of certain herbicides or groups of herbicides has consequently led to the evolution of resistance in many weed species, and the resistance to herbicides in weeds is increasing rapidly worldwide. Tolerance to acetolactate synthase (ALS)-inhibiting herbicides, acetyl-CoA carboxylase (ACCase)-inhibiting herbicides and 5-enolpyruvylshikimate-3-phosphate (EPSPS) synthase-inhibiting herbicides have been reported more frequently, especially ALS-inhibiting herbicides, which account for one-third of all weed resistance [25].
Generally, herbicide resistance can be achieved through several mechanisms, such as target site mutation, target site gene amplification, increased herbicide detoxification, and metabolism [26]. Target site mutation is the primary resistance mechanism and has been successfully applied to creating herbicide-resistant germplasm in many crop species. For the development of herbicide-resistant plants, it is very important to select target genes associated with important resistance traits. Notably, the ALS gene, ACCase gene, and EPSPS gene have provided a wealth of potential genes to produce herbicide-resistant crops.
ALS (EC 4.1.3.18) is the key enzyme that catalyzes the first step in the biosynthesis of the three branched-chain amino acids (leucine, isoleucine, and valine) [27]. This is the target enzyme of ALS-inhibiting herbicides with dissimilar chemistries, including sulfonylureas (SU), imidazolinones (IMI), pyrimidinylthiobenzoates (PTB), sulfonylaminocarbonyl-triazoli-nones (SCT), and triazolopyrimidines (TP) [28]. So far, eight variant ALS genes have been discovered in weeds as natural mutations conferring tolerance to ALS-inhibiting herbicides involve the amino acids residues Ala122, Pro197, Ala205, Asp376, Arg377, Trp574, Ser653, and Gly654, in which the amino acid number is based on the Arabidopsis ALS gene [25].
ACCase (EC 6.4.1.2) is a crucial enzyme for fatty acid biosynthesis pathways. ACCase-inhibiting herbicides such as aryloxyphenoxypropionate (APP), cyclohexanedione (CHD), and phenylpyrazoline (PPZ) inhibit fatty acid synthesis in plants leading to plant death [29]. Many weeds acquire resistance to ACCase inhibitors due to amino acid mutations at seven positions: Ile1781, Trp1999, Trp2027, Ile2041, Asp2078, Cys2088, and Gly2096 [30].
Glyphosate is a broad-spectrum, non-selective herbicide that has become the globally dominant herbicide [31] that inhibits EPSPS (EC 2.5.1.19), a critical enzyme involved in the biosynthesis of aromatic amino acids [32]. As a result of intense glyphosate use, resistance to this herbicide has been confirmed in many weed species. Target site mutations occurring at Thr102, Ala103, and Pro106 of the EPSPS gene are known to endow glyphosate resistance in several fields that evolved resistant weed species [33].

3. Transgenic and Mutagenesis Breeding of Herbicide-Resistant Crops

Since weeds are a major threat to global food production, cultivating herbicide resistance crops has become an integrated part of modern weed management, which can decrease the phytotoxicity of herbicides to crops, improve the efficiency of the chemical weeding, and reduce the cost of weeding [34]. Over the last few decades, transgenic and traditional mutagenesis breeding (Figure 1A,B,D), have demonstrated their power in generating commercially available herbicide-resistant crops [35].
Transgenic breeding technology should introduce exogenous elite genes found in other species and organisms. Currently, most commercialized herbicide-resistant crops were obtained through this technology and account for approximately 25% of all genetically modified (GM) crops [36]. Recent advances indicate that most of the increased yield in transgenic herbicide-resistant crops is attributed to glyphosate-resistant soybeans, maize, rice, wheat, canola, cotton, and sugar beets [11]. The CP4 gene, glyphosate N-acetyltransferase (GAT) gene, and glyphosate oxidoreductase (GOX) gene were the primary genes that contributed to glyphosate resistance in crops [37,38]. Transgenic glufosinate-resistant crops with the phosphinothricin N-acetyltransferase (PAT) gene or bialaphos resistance (Bar) gene have also been illegally commercialized [39,40,41]. Crops resistant to other herbicide types, such as ALS-inhibiting herbicides, ACCase-inhibiting herbicides, synthetic auxin herbicides, and HPPD-inhibiting herbicides, can also be developed by this method. However, the development of GM crops is subject to several factors: cumbersome operation, labor-intensive, high cost, and regulatory restriction [42,43].
In contrast to the transgenic approach, herbicide-resistant crops generated by traditional mutagenesis breeding are considered non-GM. From 1992 to the present, the development and promotion of herbicide-resistant crops through mutagenesis have made rapid progress. A series of ALS inhibitor-resistant maize, wheat, rice, oilseed rape, and sunflower were developed by mutagenesis breeding; these crops are commercialized as Clearfield® crops [44,45]. Notably, the first commercialized ACCase-inhibiting herbicide resistance crop was a sethoxydim-resistant corn, with an altered ACCase activity created through tissue culture [46]. The non-GM ACCase-inhibiting herbicide resistance rice named Provisia™ was also promoted globally [47]. Both the Clearfield® series and Provisia series are artificially induced. Although the non-GM crops to be introduced are commercially available, the application of mutagenesis breeding has remained restricted due to its low mutation frequency and random creation of mutations, making it nearly impossible to induce multiple specific mutations for acquiring herbicide resistance simultaneously [36].

4. Herbicide-Resistant Crops Generated by CRISPR/Cas System

With the advent of modern molecular biology, more recently developed CRISPR/Cas-mediated genome editing techniques offer an effective alternative method for inducing genetic modification in various crops [48], exhibiting great potential in accelerating the development of improved crop varieties (Table 1). Thus, genome editing technology could improve precise modifications of DNA sequences that correlated with herbicide resistance (Figure 1C,D).

4.1. NHEJ Pathway to Improve Herbicide Resistance in Crops

Despite the dominance of NHEJ pathway during the DSBs repair, only a handful of editing events about creating herbicide-resistant crops have been reported in which endogenous plant genes were accurately modified this way.
Zhang et al. [83] obtained the paraquat-resistant lettuce with small or large deletion through editing the uORF of LsGGP2, a gene link to the production of ascorbic acid that increases oxidative stress tolerance in plant cells. This indicated that the gene editing introduced by the NHEJ repair pathway has measurable effects on the creation of herbicide-resistant crops. Except for the multiple base deletions, small insertions or deletions (indels), such as +1/−1 bp indels, often occurred in the period of the NHEJ repair pathway. Fortunately, resistance to ALS-inhibiting herbicide and ACCase-inhibiting herbicide were improved in Arabidopsis via the deletion of a base followed by the insertion of a different one [84], and the NHEJ repair strategy for the improvement of herbicide-resistant germplasm may also be applicable to crops.
Efficient intron-mediated site-specific gene replacement and insertion can also be generated through the NHEJ pathway using the CRISPR/Cas9 system. Depending on double amino acid substitution, T102I and P106S (TIPS) in the conserved motif of the endogenous EPSPS gene lead to resistance to glyphosate in goosegrass [82]. Scientists developed TIPS double amino acid substitutions in rice plants harboring the OsEPSPS gene, and the intended substitutions demonstrated resistance to glyphosate using the NHEJ pathway to generate gene replacements and insertions [65].
Herbicide resistance reported in plants indicated that the NHEJ pathway is suitable for developing important traits in crops. Nevertheless, their applications in crop improvements are rather limited, because they often yielded insertions or deletions that largely resulted in loss-of-function mutations [85], and many agriculturally important traits are conferred by point mutations, gene replacements, or gene knock-in by homologous recombination. Thus, the development of genome editing that enables gene replacement rather than gene inactivation will greatly facilitate plant breeding [76].

4.2. Development of Herbicide Resistance Crops via HDR Pathway

In contrast to NHEJ, the HDR pathway can modify endogenous genes precisely with targeted gene insertion or gene replacements, whereas HDR events remain much lower than that of NHEJ [86]. The recent application of HDR-dependent genome editing using the CRISPR system can potentially provide a feasible approach in plant breeding.
The resistant herbicide maize and soybeans were obtained through the HDR pathway mediated by the CRISPR/Cas9 technology [87,88]. Additionally, novel rice germplasms with bispyribac-sodium resistance were obtained by introducing point mutations at the 548th and 627th amino acid positions of the rice ALS gene [51,52]. Besides, a chimeric Cas9-VirD2 protein that combines Cas9 and VirD2, a Vir protein that cleaves the bottom strands of the Ti plasmid in the left and right border, was developed to enhance HDR efficiency in plants. Furthermore, precise OsALS allele modification that yields herbicide-resistant rice was successfully gained by employing this system [66]. Similarly, the glyphosate-resistant trait was optimized in rapeseed by introducing the donor template and a geminiviral replicon into plant cells [67]. Otherwise, the ALS inhibitor-resistant rice was generated with chimeric single-guide RNA (cgRNA) molecules composed of target site-specificity and repair template sequences [68]. The herbicide resistance trait in flax was also discovered owing to the combination of single-stranded oligonucleotides (ssODN) and CRISPR/Cas9 [77].
The development of the CRISPR/Cpf1 system has further expanded the application scope of genome editing technology based on the HDR pathway because of its long 5′-protruding ends [69], which may facilitate the pairing and insertion of repair templates, although the system has the disadvantage that nonspecific cleavage activity of single-stranded DNAs [78]. Scientists performed allelic replacement of the wild-type ALS gene with the intended mutations that carries two discrete point mutations, thereby conferring herbicide resistance in rice plants [89]. However, the efficiency is still very low through homology-mediated repair pathways. They improved the CRISPR/Cpf1 system and successfully the high-efficiency editing, simultaneously obtaining herbicide-resistant rice plants [70]. Prime editing is a novel and universal CRISPR/Cas-derived precision genome editing technology without exogenous donor DNA repair templates [71]. Jiang et al. [90] and Butt et al. [72] obtained herbicide resistance maize and rice through this editing system, respectively.
Notwithstanding the above reports, several limitations are still present, including the dominance of the NHEJ repair pathway, the difficulty in delivering sufficient repair templates [60,91], and susceptibility to degradation by cellular nucleases [92].

4.3. Improving Herbicide Resistance through Base Editing

Base editing enables irreversible conversion of base-pair without requiring double-stranded DNA breaks or donor repair templates [93]. So far, the base editors to convert C:G > T:A mutations and A:T > G:C base pairs at target loci have been developed and named cytidine-deaminase-mediated base editor (CBE) or adenine-deaminase-mediated base editor (ABE), respectively [93,94]. Base editors make it possible to correct a substantial fraction of herbicide resistance-associated SNPs. The two base editors have been introduced into several genes, including the ALS gene, ACCase gene, EPSPS genes, and other genes related to herbicide resistance in crops.
Fortunately, developing crop varieties harboring herbicide-resistant mutations that render crop tolerance to ALS-inhibiting herbicides by the CBE has been successfully applied in various crop species, including rice [61,95], maize [64], wheat [53,54], watermelon [55], oilseed rape [56], tobacco [57], tomato, and potato [58]. Similarly, crop tolerance to ACCase-inhibiting herbicides was also found in wheat via the CBE editor [53]. To improve the editing efficiency of CRISPR/Cas technology, the target-activation induced cytidine deaminase (Target-AID) was developed for improving multiplex traits that could accelerate crop improvement at one time in combination with targeted base editing. Furthermore, this base editing system has been applied to produce herbicide-resistant germplasm in rice plant [49,59].
Conversely, the ABEs also exhibited powerful potential for developing novel germplasms to confer resistance to herbicides. Li et al. [50] optimized an ABE for application in plant systems with an evolved tRNA adenosine deaminase, achieved targeted conversion of adenine to guanine, and produced a haloxyfop-R-methyl-resistant rice plant [50]. Additionally, the mutation of the OsTubA2 gene can also be rapidly introduced to confer resistance to both trifluralin and pendimethalin herbicides in rice using CRIPSR-mediated adenine base editors [73]. Recently, Yan et al. [79] simultaneously developed novel SNPs in four endogenous herbicide target genes (OsALS1, OsGS1, OsTubA2, OsACC) with induced efficient A-to-G conversion using new TadA variants, named TadA9.
Directed evolution has proved to be an effective strategy for accelerating the improvement of crop traits, because genetic diversity is artificially increased. Combined with a sgRNA library, the CRISPR/Cas9 system can generate considerable gene variants, thus driving the directed evolution of proteins [62]. Butt et al. [96] developed a CRISPR/Cas-based directed evolution system in rice, and the spliceosome component SF3B1 mutant variants conferred variable levels of resistance to herboxidiene (GEX1A) [80,96,97]. Moreover, a base editing-mediated gene evolution method was present with both the CBE editor and ABE editor alongside a sgRNA library to generate various nucleotide changes in target genomic regions. Consequently, four different novel amino acid substitutions that have never been reported formerly were identified in OsALS, exhibiting various resistance levels to bispyribac-sodium belonging to the ALS inhibitor [81]. Meanwhile, a dual base editing system that fused cytidine deaminase with adenosine deaminase named STEMEs was developed, enabling C:G > T:A and A:T > G:C substitutions in the same target sequence, provided directed evolution of endogenous genes by improved saturated mutagenesis. The saturated mutagenesis of the ACCase gene in rice plants by this dual base editing system can generate mutations associated with ACCase inhibitor, haloxyfop [63]. Accordingly, to exploit dominant mutations endowing resistance to ACCase-inhibiting herbicide, 141 sgRNAs were designed in the carboxyltransferase domain of the ACCase gene. As a result, a novel W2125S mutation was produced by CRISPR-mediated directed evolution to confer APP herbicide resistance in rice [74].

5. Conclusions and Prospect

The CRISPR/Cas technology has an enormous potential as a precise and straightforward genome editing tool to edit the plant genome, which is required for herbicide resistance crop improvement [75]. However, there have been many reports of successfully using this technology to create herbicide-resistant crop germplasm. Unfortunately, several challenges remain to be addressed, and further efforts are required to overcome these.
One of the primary challenges is whether the CRISPR/Cas system could obtain other potential genes for creating herbicide-resistant crops. For example, the Thr 239 Ile and Leu 136 Phe mutations of α-tubulin could endow resistance to dinitroaniline, and both mutations were associated with cross-resistance to benzoic acids, benzamides, and carbamates [98,99,100]. Additionally, the Met 268 Thr mutation association with resistance to dinitroaniline was also demonstrated in Eleusine indica and Setaria viridis, respectively [101]. Furthermore, this point mutation has been used to develop herbicide resistance in rice [73]. However, studies on the discovery and of these potential genes in herbicide-resistant crops are still lacking.
Secondly, among the creation of herbicide-resistant crop germplasms, only the resistance to ALS-inhibiting herbicides, ACCase-inhibiting herbicides, and glyphosate in crops has achieved greater success. However, for the 4-hydroxyphenyl pyruvate dioxygenase and protoporhyrinogen oxidase inhibiting herbicide, studies on their widespread use and effective control of weeds are deficient.
Finally, although non-selective herbicides, such as glyphosate and glufosinate, have a broad-spectrum of herbicidal properties, only a few studies have reported that they improve crop resistance. Currently, the development of herbicide-resistant crops mainly focuses on selective herbicides. Moreover, creating crops that are resistant to multiple types of herbicide simultaneously requires research. Therefore, it is significant to breed non-selective herbicides or multiple herbicide-resistant crops.
At present, most of the research focuses on the cultivation of herbicide-resistant crop varieties, but the characteristics of herbicide resistance have not been fully combined with other breeding strategies. These strategies include (1) cultivating crops resistant to herbicides and disease and insect pests, and (2) optimizing assisted cross-breeding using the characteristics of herbicide resistance. For example, one strategy would involve spraying herbicides at the seedling stage to improve the purity of hybrid rice. With the continuous improvement of the gene editing technology, the cultivation of herbicide-resistant crop varieties will progress.

Author Contributions

K.W. conceived and designed this manuscript; H.D. wrote the initial manuscript; Y.H. contributed to discussion of the content and reviewed the manuscript; K.W. revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by grants from the National Natural Science Foundation of China (U20A2030), the Agricultural Science and Technology Innovation Program (CAAS-ZDRW202001 and 206030204070620), China National Rice Research Institute Key Research and Development Project (CNRRI-2020-01).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Food and Agriculture Organization (FAO) of the United Nations. Agriculture and Climate Change-Challenges and Opportunities at the Global and Local Level-Collaboration on Climate-Smart Agriculture; FAO: Rome, Italy, 2019. [Google Scholar]
  2. Godfray, H.C.; Beddington, J.R.; Crute, I.R.; Haddad, L.; Lawrence, D.; Muir, J.F.; Pretty, J.; Robinson, S.; Thomas, S.M.; Toulmin, C.; et al. Food security: The challenge of feeding 9 billion people. Science 2010, 327, 812–818. [Google Scholar] [CrossRef] [Green Version]
  3. Sundström, J.; Albihn, A.; Boqvist, S.; Ljungvall, K.; Marstorp, H.; Martiin, C.; Nyberg, K.; Vågsholm, I.; Yuen, J.; Magnusson, U.; et al. Future threats to agricultural food production posed by environmental degradation, climate change, and animal and plant diseases-a risk analysis in three economic and climate settings. Food. Secur. 2014, 6, 201–215. [Google Scholar] [CrossRef] [Green Version]
  4. Oerke, E.-C. Crop losses to pests. J. Agric. Sci. 2006, 144, 31–43. [Google Scholar] [CrossRef]
  5. Délye, C.; Jasieniuk, M.; Le Corre, V.L. Deciphering the evolution of herbicide resistance in weeds. Trends. Genet. 2013, 29, 649–658. [Google Scholar] [CrossRef] [PubMed]
  6. Quareshy, M.; Prusinska, J.; Li, J.; Napier, R. A cheminformatics review of auxins as herbicides. J. Exp. Bot. 2018, 69, 265–275. [Google Scholar] [CrossRef]
  7. Akbar, N.; Jabran, K.; Ali, M.A. Weed management improves yield and quality of direct seeded rice. Aust. J. Crop Sci. 2011, 5, 688–694. [Google Scholar]
  8. Rao, A.N.; Johnson, D.E.; Sivaprasad, B.; Ladha, J.K.; Mortimer, A.M. Weed management in direct-seeded rice. Adv. Agron. 2007, 93, 153–255. [Google Scholar]
  9. Chauhan, B.S. Strategies to manage weedy rice in Asia. Crop Prot. 2013, 48, 51–56. [Google Scholar] [CrossRef]
  10. Glick, H.L. Herbicide tolerant crops: A review of agronomic, economic and environmental impacts. BCPC Conf. Weeds 2001, 1, 359–366. [Google Scholar]
  11. Shaner, D.L. The impact of glyphosate-tolerant crops on the use of other herbicides and on resistance management. Pest Manag. Sci. 2000, 56, 320–326. [Google Scholar] [CrossRef]
  12. Green, J.M. The benefits of herbicide-resistant crops. Pest Manag. Sci. 2012, 68, 1323–1331. [Google Scholar] [CrossRef]
  13. Kumar, V.; Bellinder, R.R.; Gupta, R.K.; Malik, R.K.; Brainard, D.C. Role of herbicide-resistant rice in promoting resource conservation technologies in rice–wheat cropping systems of India: A review. Crop Prot. 2008, 27, 290–301. [Google Scholar] [CrossRef]
  14. Ogawa, T.; Kawahigashi, H.; Toki, S.; Handa, H. Efficient transformation of wheat by using a mutated rice acetolactate synthase gene as a selectable marker. Plant Cell. Rep. 2008, 27, 1325–1331. [Google Scholar] [CrossRef] [PubMed]
  15. Alibhai, M.F.; Stallings, W.C. Closing down on glyphosate inhibition--with a new structure for drug discovery. Proc. Nat. Acad. Sci. USA 2001, 98, 2944–2946. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. James, C. Global Status of Commercialized Transgenic Crops (GMO): 2003. Int. Serv. Acquis. Agribiotech Appl. 2003, 41, 175–176. [Google Scholar]
  17. Sanvido, O.; Romeis, J.; Gathmann, A.; Gielkens, M.; Raybould, A.; Bigler, F. Evaluating environmental risks of genetically modified crops: Ecological harm criteria for regulatory decision-making. Environ. Sci. Policy 2012, 15, 82–91. [Google Scholar] [CrossRef]
  18. Deltcheva, E.; Chylinski, K.; Sharma, C.M.; Gonzales, K.; Chao, Y.; Pirzada, Z.A.; Eckert, M.R.; Vogel, J.; Charpentier, E. CRISPR RNA maturation by trans-encoded small RNA and host factor RNase III. Nature 2011, 471, 602–607. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Jinek, M.; Chylinski, K.; Fonfara, I.; Hauer, M.; Doudna, J.A.; Charpentier, E. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 2012, 337, 816–821. [Google Scholar] [CrossRef] [PubMed]
  20. Belhaj, K.; Chaparro-Garcia, A.; Kamoun, S.; Nekrasov, V. Plant genome editing made easy: Targeted mutagenesis in model and crop plants using the CRISPR/Cas system. Plant Methods 2013, 9, 39. [Google Scholar] [CrossRef] [Green Version]
  21. Symington, L.S.; Gautier, J. Double-strand break end resection and repair pathway choice. Annu. Rev. Genet. 2011, 45, 247–271. [Google Scholar] [CrossRef]
  22. Cong, L.; Ran, F.A.; Cox, D.; Lin, S.; Barretto, R.; Habib, N.; Hsu, P.D.; Wu, X.; Jiang, W.; Marraffini, L.A.; et al. Multiplex genome engineering using CRISPR/Cas systems. Science 2013, 339, 819–823. [Google Scholar] [CrossRef] [Green Version]
  23. Owens, D.D.G.; Caulder, A.; Frontera, V.; Harman, J.R.; Allan, A.J.; Bucakci, A.; Greder, L.; Codner, G.F.; Hublitz, P.; McHugh, P.J.; et al. Microhomologies are prevalent at Cas9-induced larger deletions. Nucleic Acids. Res. 2019, 47, 7402–7417. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Tan, J.; Zhao, Y.; Wang, B.; Hao, Y.; Wang, Y.; Li, Y.; Luo, W.; Zong, W.; Li, G.; Chen, S.; et al. Efficient CRISPR/Cas9-based plant genomic fragment deletions by microhomology-mediated end joining. Plant Biotechnol. J. 2020, 18, 2161–2163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Tranel, P.J.; Wright, T.R.; Heap, I.M. Mutations in Herbicide-Resistant Weeds to ALS Inhibitors. Available online: http://www.weedscience.com (accessed on 5 May 2021).
  26. Sammons, R.D.; Gaines, T.A. Glyphosate resistance: State of knowledge. Pest. Manag. Sci. 2014, 70, 1367–1377. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Devine, M.; Shukla, A. Altered target sites as a mechanism of herbicide resistance. Crop Prot. 2000, 19, 881–889. [Google Scholar] [CrossRef]
  28. Zhou, Q.; Liu, W.; Zhang, Y.; Liu, K. Action mechanisms of acetolactate synthase-inhibiting herbicides. Pestic. Biochem. Physiol. 2007, 89, 89–96. [Google Scholar] [CrossRef]
  29. Kaundun, S.S. Resistance to acetyl-CoA carboxylase-inhibiting herbicides. Pest. Manag. Sci. 2014, 70, 1405–1417. [Google Scholar] [CrossRef]
  30. Délye, C.; Zhang, X.; Michel, S.; Matéjicek, A.; Powles, S.B. Molecular bases for sensitivity to acetyl-coenzyme A carboxylase inhibitors in black-grass. Plant Physiol. 2005, 137, 794–806. [Google Scholar] [CrossRef] [Green Version]
  31. Funke, T.; Yang, Y.; Han, H.; Healyfried, M.; Olesen, S.; Becker, A.; Schönbrunn, E. Structural basis of glyphosate resistance resulting from the double mutation Thr⁹⁷→Ile and Pro¹⁰¹→Ser in 5-enolpyruvylshikimate-3-phosphate synthase from Escherichia coli. J. Biol. Chem. 2009, 284, 9854–9860. [Google Scholar] [CrossRef] [Green Version]
  32. Achary, V.; Sheri, V.; Manna, M.; Panditi, V.; Borphukan, B.; Ram, B.; Agarwal, A.; Fartyal, D.; Teotia, D.; Masakapalli, S.K.; et al. Overexpression of improved EPSPS gene results in field level glyphosate tolerance and higher grain yield in rice. Plant Biotechnol. J. 2020, 18, 2504–2519. [Google Scholar] [CrossRef]
  33. Gaines, T.A.; Heap, I.M. Mutations in Herbicide-Resistant Weeds to EPSP Synthase Inhibitors. Available online: http://www.weedscience.com (accessed on 5 May 2021).
  34. Green, J.M. Current state of herbicides in herbicide-resistant crops. Pest. Manag. Sci. 2014, 70, 1351–1357. [Google Scholar] [CrossRef]
  35. James, C.; Halle, M.; Bresciani, F.; Strydom, T.; Schroder, J.; Camus, E.; Walker, J.; Hamel, H.D.; Barré, N. Global Status of Commercialized Transgenic Crops: 2003. Available online: https://www.isaaa.org/resources/publications/briefs/30/download/isaaa-brief-30-2003.pdf (accessed on 5 May 2021).
  36. Endo, M.; Toki, S. Creation of herbicide-tolerant crops by gene targeting. J. Pestic. Sci. 2013, 38, 49–59. [Google Scholar] [CrossRef] [Green Version]
  37. Mannerlöf, M.; Tuvesson, S.; Steen, P.; Tenning, P. Transgenic sugar beet tolerant to glyphosate. Euphytica 1997, 94, 83–91. [Google Scholar]
  38. Castle, L.A.; Siehl, D.L.; Gorton, R.; Patten, P.A.; Chen, Y.; Bertain, S.; Cho, H.-J.; Duck, N.; Wong, J.; Liu, D.; et al. Discovery and directed evolution of a glyphosate tolerance gene. Science 2004, 304, 1151–1154. [Google Scholar] [CrossRef] [Green Version]
  39. Thompson, C.J.; Movva, N.R.; Tizard, R.; Crameri, R.; Botterman, J. Characterization of the herbicide-resistance gene bar from Streptomyces hygroscopicus. Embo J. 1987, 6, 2519–2523. [Google Scholar] [CrossRef] [PubMed]
  40. Wohlleben, W.; Arnold, W.; Broer, I.; Hillemann, D.; Strauch, E.; Pühler, A. Nucleotide sequence of phosphinothricin-N-acetyl-transferase gene from Streptomyces viridochromogenes Tue H 94 and its expression in Nicotiane tabacum. Gene 1988, 70, 25–37. [Google Scholar] [CrossRef]
  41. Cui, Y.; Liu, Z.; Li, Y.; Zhou, F.; Chen, H.; Lin, Y. Application of a novel phosphinothricin N-acetyltransferase (RePAT) gene in developing glufosinate-resistant rice. Sci. Rep. 2016, 6, 21259. [Google Scholar] [CrossRef] [PubMed]
  42. Ramessar, K.; Capell, T.; Twyman, R.M.; Quemada, H.; Christou, P. Trace and traceability-a call for regulatory harmony. Nat. Biotechnol. 2008, 26, 975–978. [Google Scholar] [CrossRef] [PubMed]
  43. Stein, A.J.; Rodríguez-Cerezo, E. International trade and the global pipeline of new GM crops. Nat. Biotechnol. 2010, 28, 23–25. [Google Scholar] [CrossRef] [Green Version]
  44. Sudianto, E.; Beng-Kah, S.; Ting-Xiang, N.; Saldain, N.E.; Scott, R.C.; Burgos, N.R. Clearfield rice: Its development, success, and key challenges on a global perspective. Crop Prot. 2013, 49, 40–51. [Google Scholar] [CrossRef]
  45. Tan, S.; Evans, R.R.; Dahmer, M.L.; Singh, B.K.; Shaner, D.L. Imidazolinone-tolerant crops: History, current status and future. Pest Manag. Sci. 2005, 61, 246–257. [Google Scholar] [CrossRef] [PubMed]
  46. Parker, W.B.; Somers, D.A.; Wyse, D.L.; Keith, R.A.; Burton, J.D.; Gronwald, J.W.; Gengenbach, B.G. Selection and characterization of sethoxydim-tolerant maize tissue cultures. Plant Physiol. 1990, 92, 1220–1225. [Google Scholar] [CrossRef] [Green Version]
  47. Dauer, J.; Hulting, A.; Carlson, D.; Mankin, L.; Harden, J.; Mallory-Smith, C. Gene flow from single and stacked herbicide-resistant rice (Oryza sativa): Modeling occurrence of multiple herbicide-resistant weedy rice. Pest Manag. Sci. 2018, 74, 348–355. [Google Scholar] [CrossRef] [Green Version]
  48. Zhou, H.; Liu, B.; Weeks, D.P.; Spalding, M.H.; Yang, B. Large chromosomal deletions and heritable small genetic changes induced by CRISPR/Cas9 in rice. Nucleic Acids. Res. 2014, 42, 10903–10914. [Google Scholar] [CrossRef] [PubMed]
  49. Shimatani, Z.; Fujikura, U.; Ishii, H.; Matsui, Y.; Suzuki, M.; Ueke, Y.; Taoka, K.I.; Terada, R.; Nishida, K.; Kondo, A.; et al. Inheritance of co-edited genes by CRISPR-based targeted nucleotide substitutions in rice. Plant Physiol. Biochchem. 2018, 131, 78–83. [Google Scholar] [CrossRef] [PubMed]
  50. Li, C.; Zong, Y.; Wang, Y.; Jin, S.; Zhang, D.; Song, Q.; Zhang, R.; Gao, C. Expanded base editing in rice and wheat using a Cas9-adenosine deaminase fusion. Genome Biol. 2018, 19, 59. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Endo, M.; Mikami, M.; Toki, S. Biallelic gene targeting in rice. Plant Physiol. 2016, 170, 667–677. [Google Scholar] [CrossRef] [Green Version]
  52. Sun, Y.; Zhang, X.; Wu, C.; He, Y.; Ma, Y.; Hou, H.; Guo, X.; Du, W.; Zhao, Y.; Xia, L.; et al. Engineering herbicide-resistant rice plants through CRISPR/Cas9-mediated homologous recombination of acetolactate synthase. Mol. Plant 2016, 9, 628–631. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Zhang, R.; Liu, J.; Chai, Z.; Chen, S.; Bai, Y.; Zong, Y.; Chen, K.; Li, J.; Jiang, L.; Gao, C.; et al. Generation of herbicide tolerance traits and a new selectable marker in wheat using base editing. Nat. Plants 2019, 5, 480–485. [Google Scholar] [CrossRef] [PubMed]
  54. Zong, Y.; Song, Q.; Li, C.; Jin, S.; Zhang, D.; Wang, Y.; Qiu, J.; Gao, C. Efficient C-to-T base editing in plants using a fusion of nCas9 and human APOBEC3A. Nat. Biotechnol. 2018, 36, 950–953. [Google Scholar] [CrossRef]
  55. Tian, S.; Jiang, L.; Cui, X.; Zhang, J.; Guo, S.; Li, M.; Zhang, H.; Ren, Y.; Gong, G.; Zong, M.; et al. Engineering herbicide-resistant watermelon variety through CRISPR/Cas9-mediated base-editing. Plant Cell. Rep. 2018, 37, 1353–1356. [Google Scholar] [CrossRef] [PubMed]
  56. Wu, J.; Chen, C.; Xian, G.; Liu, D.; Lin, L.; Yin, S.; Sun, Q.; Fang, Y.; Zhang, H.; Wang, Y.; et al. Engineering herbicide-resistant oilseed rape by CRISPR/Cas9-mediated cytosine base-editing. Plant Biotechnol. J. 2020, 18, 1857–1859. [Google Scholar] [CrossRef]
  57. Kang, B.C.; Woo, J.W.; Kim, S.T.; Bae, S.J.; Kim, S.G. Guidelines for C to T base editing in plants: Base-editing window, guide RNA length, and efficient promoter. Plant Biotechnol. Rep. 2019, 13, 533–541. [Google Scholar] [CrossRef]
  58. Veillet, F.; Perrot, L.; Chauvin, L.; Kermarrec, M.P.; Guyon-Debast, A.; Chauvin, J.E.; Nogué, F.; Mazier, M. Transgene-free genome editing in tomato and potato plants using agrobacterium-mediated delivery of a CRISPR/Cas9 cytidine base editor. Int. J. Mol. Sci. 2019, 20, 402. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. 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. [Google Scholar] [CrossRef] [PubMed]
  60. Wang, M.; Lu, Y.; Botella, J.R.; Mao, Y.; Hua, K.; Zhu, J. Gene targeting by homology-directed repair in rice using a geminivirus-based CRISPR/Cas9 system. Mol. Plant 2017, 10, 1007–1010. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Zhang, R.; Chen, S.; Meng, X.; Chai, Z.; Wang, D.; Yuan, Y.; Chen, K.; Jiang, L.; Li, J.; Gao, C.; et al. Generating broad-spectrum tolerance to ALS-inhibiting herbicides in rice by base editing. Sci. China. Life Sci. 2020. [Google Scholar] [CrossRef] [PubMed]
  62. Packer, M.S.; Liu, D.R. Methods for the directed evolution of proteins. Nat. Rev. Genet. 2015, 16, 379–394. [Google Scholar] [CrossRef] [PubMed]
  63. Li, C.; Zhang, R.; Meng, X.; Chen, S.; Zong, Y.; Lu, C.; Qiu, J.; Chen, Y.; Li, J.; Gao, C.; et al. Targeted, random mutagenesis of plant genes with dual cytosine and adenine base editors. Nat. Biotechnol. 2020, 38, 875–882. [Google Scholar] [CrossRef]
  64. Li, Y.; Zhu, J.; Wu, H.; Liu, C.; Huang, C.; Lan, J.; Zhao, Y.; Xie, C. Precise base editing of non-allelic acetolactate synthase genes confers sulfonylurea herbicide resistance in maize. Crop J. 2020, 8, 449–456. [Google Scholar] [CrossRef]
  65. 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. [Google Scholar] [CrossRef]
  66. Ali, Z.; Shami, A.; Sedeek, K.; Kamel, R.; Alhabsi, A.; Tehseen, M.; Hassan, N.; Butt, H.; Kababji, A.; Hamdan, S.M.; et al. Fusion of the Cas9 endonuclease and the VirD2 relaxase facilitates homology-directed repair for precise genome engineering in rice. Commun. Biol. 2020, 3, 44. [Google Scholar] [CrossRef]
  67. Wang, Z.; Wan, L.; Xin, Q.; Zhang, X.; Song, Y.; Wang, P.; Hong, D.; Fan, Z.; Yang, G. Optimising glyphosate tolerance in rapeseed (Brassica napus L.) by CRISPR/Cas9-based geminiviral donor DNA replicon system with Csy4-based single-guide RNA processing. J. Exp. Bot. Bot. 2021. [Google Scholar] [CrossRef]
  68. Butt, H.; Eid, A.; Ali, Z.; Atia, M.A.M.; Mokhtar, M.M.; Hassan, N.; Lee, C.M.; Bao, G.; Mahfouz, M.M. Efficient CRISPR/Cas9-mediated genome editing using a chimeric single-guide RNA molecule. Front. Plant Sci. 2017, 8, 1441. [Google Scholar] [CrossRef] [Green Version]
  69. Zetsche, B.; Gootenberg, J.S.; Abudayyeh, O.O.; Slaymaker, I.M.; Makarova, K.S.; Essletzbichler, P.; Volz, S.E.; Joung, J.; Oost, J.; Regev, A.; et al. Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system. Cell 2015, 163, 759–771. [Google Scholar] [CrossRef] [Green Version]
  70. Li, S.; Zhang, Y.; Xia, L.; Qi, Y. CRISPR-Cas12a enables efficient biallelic gene targeting in rice. Plant Biotechnol. J. 2020, 18, 1351. [Google Scholar] [CrossRef]
  71. Anzalone, A.V.; Randolph, P.B.; Davis, J.R.; Sousa, A.A.; Koblan, L.W.; Levy, J.M.; Chen, P.J.; Wilson, C.; Newby, G.A.; Raguram, A.; et al. Search-and-replace genome editing without double-strand breaks or donor DNA. Nature 2019, 576, 149–157. [Google Scholar] [CrossRef] [PubMed]
  72. Butt, H.; Rao, G.S.; Sedeek, K.; Aman, R.; Kamel, R.; Mahfouz, M. Engineering herbicide resistance via prime editing in rice. Plant Biotechnol. J. 2020, 18, 2370–2372. [Google Scholar] [CrossRef] [PubMed]
  73. Liu, L.; Kuang, Y.; Yan, F.; Li, S.; Ren, B.; Gosavi, G.; Spetz, C.; Li, X.; Wang, X.; Zhou, X.; et al. Developing a novel artificial rice germplasm for dinitroaniline herbicide resistance by base editing of OsTubA2. Plant Biotechnol. J. 2021, 19, 5–7. [Google Scholar] [CrossRef]
  74. Liu, X.; Qin, R.; Li, J.; Liao, S.; Shan, T.; Xu, R.; Wu, D.; Wei, P. A CRISPR-Cas9-mediated domain-specific base-editing screen enables functional assessment of ACCase variants in rice. Plant Biotechnol. J. 2020, 18, 1845–1847. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Xie, K.; Yang, Y. RNA-guided genome editing in plants using a CRISPR-Cas system. Mol. Plant 2013, 6, 1975–1983. [Google Scholar] [CrossRef] [Green Version]
  76. Weeks, D.P.; Spalding, M.H.; Yang, B. Use of designer nucleases for targeted gene and genome editing in plants. Plant Biotechnol. J. 2016, 14, 483–495. [Google Scholar] [CrossRef]
  77. Sauer, N.J.; Narváez-Vásquez, J.; Mozoruk, J.; Miller, R.B.; Warburg, Z.J.; Woodward, M.J.; Mihiret, Y.A.; Lincoln, T.A.; Segami, R.E.; Sanders, S.L.; et al. Oligonucleotide-mediated genome editing provides precision and function to engineered nucleases and antibiotics in plants. Plant Physiol. 2016, 170, 1917–1928. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Chen, J.S.; Ma, E.; Harrington, L.B.; Costa, M.D.; Tian, X.; Palefsky, J.M.; Doudna, J.A. CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activity. Science 2018, 360, 436–439. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Yan, D.; Ren, B.; Liu, L.; Yan, F.; Li, S.; Wang, G.; Sun, W.; Zhou, X.; Zhou, H. High-efficiency and multiplex adenine base editing in plants using new TadA variants. Mol. Plant 2021, 14, 722–731. [Google Scholar] [CrossRef] [PubMed]
  80. Zhang, Y.; Qi, Y. CRISPR enables directed evolution in plants. Genome Biol. 2019, 20, 83. [Google Scholar] [CrossRef] [PubMed]
  81. Kuang, Y.; Li, S.; Ren, B.; Yan, F.; Spetz, C.; Li, X.; Zhou, X.; Zhou, H. Base-editing-mediated artificial evolution of OsALS1 in planta to develop novel herbicide-tolerant rice germplasms. Mol. Plant 2020, 13, 565–572. [Google Scholar] [CrossRef] [PubMed]
  82. Yu, Q.; Jalaludin, A.; Han, H.; Chen, M.; Sammons, R.D.; Powers, S.B. Evolution of a double amino acid substitution in the 5-enolpyruvylshikimate-3-phosphate synthase in Eleusine indica conferring high-level glyphosate resistance. Plant Physiol. 2015, 167, 1440–1447. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Zhang, H.; Si, X.; Ji, X.; Fan, R.; Liu, J.; Chen, K.; Wang, D.; Gao, C. Genome editing of upstream open reading frames enables translational control in plants. Nat. Biotechnol. 2018, 36, 894–898. [Google Scholar] [CrossRef]
  84. Yang, W.; Qi, W.; Li, Y.; Wang, J.; Jiang, L. Programmed sequential cutting endows Cas9 versatile base substitution capability in plants. Sci. China Life Sci. 2020. [Google Scholar] [CrossRef]
  85. Tidball, A.M.; Dang, L.T.; Glenn, T.W.; Kilbane, E.G.; Klarr, D.J.; Margolis, J.L.; Uhler, M.; Parent, J.M. Rapid generation of human genetic loss-of-function iPSC lines by simultaneous reprogramming and gene editing. Stem Cell Rep. 2017, 9, 725–731. [Google Scholar] [CrossRef] [Green Version]
  86. Holger, P. The repair of double-strand breaks in plants: Mechanisms and consequences for genome evolution. J. Exp. Bot. 2005, 56, 1–14. [Google Scholar]
  87. Svitashev, S.; Young, J.K.; Schwartz, C.; Gao, H.; Falco, S.C.; Cigan, A.M. Targeted Mutagenesis, Precise gene editing, and site-specific gene insertion in maize using Cas9 and guide RNA. Plant Physiol. 2015, 169, 931–945. [Google Scholar] [CrossRef] [Green Version]
  88. Li, Z.; Liu, Z.; Xing, A.; Moon, B.P.; Koellhoffer, J.P.; Huang, L.; Ward, R.T.; Clifton, E.; Falco, S.C.; Cigan, A.M.; et al. Cas9-guide RNA directed genome editing in soybean. Plant Physiol. 2015, 169, 960–970. [Google Scholar] [CrossRef] [Green Version]
  89. Li, S.; Li, J.; Zhang, J.; Du, W.; Fu, J.; Sutar, S.; Zhao, Y.; Xia, L. Synthesis-dependent repair of Cpf1-induced double strand DNA breaks enables targeted gene replacement in rice. J. Exp. Bot. 2018, 69, 4715–4721. [Google Scholar] [CrossRef] [Green Version]
  90. Jiang, Y.; Chai, Y.; Lu, M.; Han, X.; Lin, Q.; Zhang, Y.; Zhang, Q.; Zhou, Y.; Wang, X.; Gao, C.; et al. Prime editing efficiently generates W542L and S621I double mutations in two ALS genes in maize. Genome Biol. 2020, 21, 257. [Google Scholar] [CrossRef]
  91. Wang, M.; Wang, Z.; Mao, Y.; Lu, Y.; Zhu, J. Optimizing base editors for improved efficiency and expanded editing scope in rice. Plant Biotechnol. J. 2019, 17, 1697. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Miki, D.; Zhang, W.; Zeng, W.; Feng, Z.; Zhu, J. CRISPR/Cas9-mediated gene targeting in Arabidopsis using sequential transformation. Nat. Commun. 2018, 9, 1967. [Google Scholar] [CrossRef]
  93. 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. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Gaudelli, N.M.; Komor, A.C.; Rees, H.A.; Packer, M.S.; Badran, A.H.; Bryson, D.I.; Liu, D.R. Programmable base editing of A.T to G.C in genomic DNA without DNA cleavage. Nature 2017, 551, 464–471. [Google Scholar] [CrossRef] [PubMed]
  95. Wang, F.; Xu, Y.; Li, W.; Chen, Z.; Yang, J.; Fan, F.; Tao, Y.; Jiang, Y.; Zhu, Q.; Yang, J.; et al. Creating a novel herbicide-tolerance OsALS allele using CRISPR/Cas9-mediated gene editing. Crop J. 2021, 9, 305–312. [Google Scholar] [CrossRef]
  96. Butt, H.; Eid, A.; Momin, A.A.; Bazin, J.; Crespi, M.; Arold, S.T.; Mahfouz, M.M. CRISPR directed evolution of the spliceosome for resistance to splicing inhibitors. Genome Biol. 2019, 20, 73. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Kotake, Y.; Sagane, K.; Owa, T.; Mimori-Kiyosue, Y.; Shimizu, H.; Uesugi, M.; Ishihama, Y.; Iwata, M.; Mizui, Y. Splicing factor SF3b as a target of the antitumor natural product pladienolide. Nat. Chem. Biol. 2007, 3, 570–575. [Google Scholar] [CrossRef] [PubMed]
  98. Anthony, R.; Waldin, T.; Ray, J.; Bright, S.; Hussey, P. Herbicide resistance caused by spontaneous mutation of the cytoskeletal protein tubulin. Nature 1998, 393, 260–263. [Google Scholar] [CrossRef]
  99. Yamamoto, E.; Baird, L. Alpha-tubulin missense mutations correlate with antimicrotubule drug resistance in Eleusine indica. Plant Cell. 1998, 10, 297–308. [Google Scholar] [PubMed] [Green Version]
  100. Anthony, R.G.; Hussey, P.J. Dinitroaniline herbicide resistance and the microtubule cytoskeleton. Trends Plant Sci. 1999, 4, 112–116. [Google Scholar] [CrossRef]
  101. Délye, C.; Menchari, Y.; Michel, S.; Darmency, H. Molecular bases for sensitivity to tubulin-binding herbicides in green foxtail. Plant Physiol. 2004, 136, 3920–3932. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Creation of herbicide-resistant breeding crops. (A) Crop breeding by mutagenesis method. (B) Crop improvement by transgenic technology. (C) Crop genetic breeding through CRISPR/Cas system. (D) Screening resistant-plants with herbicide treatment.
Figure 1. Creation of herbicide-resistant breeding crops. (A) Crop breeding by mutagenesis method. (B) Crop improvement by transgenic technology. (C) Crop genetic breeding through CRISPR/Cas system. (D) Screening resistant-plants with herbicide treatment.
Genes 12 00912 g001
Table 1. The herbicide-resistant plants generated by CRISPR/Cas9-mediated gene editing.
Table 1. The herbicide-resistant plants generated by CRISPR/Cas9-mediated gene editing.
GeneMutation SitesHerbicide Resistance PlantsRepair PathwayReferences
ALSAla96rice CBE[49,50]
Pro165maizeHDR[51]
Pro178soybeanHDR[52]
Pro165maizeCBE[53]
Pro174wheatCBE[54,55]
Pro174watermelonCBE[56]
Pro197oilseed rapeCBE[57]
Pro194tobaccoCBE[58]
Pro197tomato and potatoCBE[59]
Trp548riceHDR[60]
Gly628riceCBE[61]
Ser627riceABE[62]
/riceCDE[63]
Pro171/Gly628riceCBE[64]
Trp574/Ser653ArabidopsisNHEJ[65]
Trp548/Ser627riceHDR[66,67,68,69,70,71]
Trp542/Ser621maizeHDR[72]
ACCaseTrp2038ArabidopsisNHEJ[65]
Cys2186riceABE[62,73]
Ala1992wheatCBE[54]
/riceCDE[74,75]
EPSPSThr102/Pro106riceNHEJ-HDR[76]
Thr102/Pro106rapeseedHDR[77]
Thr178/Pro182flaxHDR[78]
TubA2Met268riceABE[79]
Met268riceABE[62]
SF3B1/riceCDE[80,81]
LsGGPuORFlettuceNHEJ[82]
Abbreviations: NHEJ-HDR means targeting gene replacement strategy via the NHEJ pathway using CRISPR–Cas9; CBE means cytosine base editor; ABE means adenine base editor; CDE means CRISPR/Cas-mediated direction evolution.
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Dong, H.; Huang, Y.; Wang, K. The Development of Herbicide Resistance Crop Plants Using CRISPR/Cas9-Mediated Gene Editing. Genes 2021, 12, 912. https://doi.org/10.3390/genes12060912

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Dong H, Huang Y, Wang K. The Development of Herbicide Resistance Crop Plants Using CRISPR/Cas9-Mediated Gene Editing. Genes. 2021; 12(6):912. https://doi.org/10.3390/genes12060912

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Dong, Huirong, Yong Huang, and Kejian Wang. 2021. "The Development of Herbicide Resistance Crop Plants Using CRISPR/Cas9-Mediated Gene Editing" Genes 12, no. 6: 912. https://doi.org/10.3390/genes12060912

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