Next Article in Journal
Research on Data Cleaning Algorithm Based on Multi Type Construction Waste
Next Article in Special Issue
Ameliorative Effects of Biochar for Cadmium Stress on Bean (Phaseolus vulgaris L.) Growth
Previous Article in Journal
CFD-Based Fire Risk Assessment and Control at the Historic Dong Wind and Rain Bridges in the Western Hunan Region: The Case of Huilong Bridge
Previous Article in Special Issue
Agricultural Supply Chain Financing Strategies under the Impact of Risk Attitudes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

An Updated Overview on Insights into Sugarcane Genome Editing via CRISPR/Cas9 for Sustainable Production

1
Yunnan Key Laboratory of Sugarcane Genetic Improvement, Sugarcane Research Institute, Yunnan Academy of Agricultural Sciences, Kaiyuan 661699, China
2
Geneina Research Station, Agricultural Research Corporation (ARC), Wad Medani 126, Sudan
3
College of Animal Science & Technology, Yangzhou University, Yangzhou 225009, China
4
Department of Agriculture, Mir Chakar Khan Rind University, Sibi 82000, Pakistan
5
Department of Plant Pathology, Faculty of Agriculture, University of Poonch Rawalakot, Rawalakot 12350, Pakistan
6
Department of Entomology, Faculty of Agriculture, University of Poonch Rawalakot, Rawalakot 12350, Pakistan
7
Department of Agronomy, Faculty of Agriculture, University of Poonch Rawalakot, Rawalakot 12350, Pakistan
*
Authors to whom correspondence should be addressed.
Sustainability 2022, 14(19), 12285; https://doi.org/10.3390/su141912285
Submission received: 11 August 2022 / Revised: 20 September 2022 / Accepted: 20 September 2022 / Published: 27 September 2022

Abstract

:
Sugarcane crop constitutes one of the most vital sources of sugar and bioenergy globally; however, higher level of polyploidy makes its genome editing an intricate task. Recently, genome editing has become easier with CRISPR/Cas9 system that uses Cas9 to target sequence-specific regions and introduce double-strand breaks into the target region. This technique has been successfully employed to develop new varieties of sugarcane having desired phenotypic and physiological traits. Several genes can be fused with the CRISPR/Cas9 system leading to successful metabolic engineering and biological improvement for ensuring sustainable enhancement in sugarcane production. This simple RNA-guided genome editing technique has become a revolutionary tool and innovative application in biology that might be effectively employed for inducing specified genomic modifications in plant tissues. This review attempts to synthesize fundamentals of genome editing techniques with an ultimate aim to find out opportunities and challenges of sugarcane genome editing. It also tends to summarize the advances and achievements of gene editing via CRISPR-based genome editing technique for numerous field crops. Lastly, the enormous potential of CRISPR/Cas9 for gene editing in sugarcane, major challenges and future perspectives have been objectively elaborated.

1. Introduction

Globally, sugarcane (Saccharum spp.) is one of the most pertinent agricultural cash crops that is widely cultivated in countries having subtropical and tropical climates such as United States, India, Pakistan, China, Brazil, Australia, Cuba, and Philippines [1,2,3]. A number of industrial high-end products including sugar (75% of sucrose’s global demand is met from sugarcane while remaining comes from sugar-beet crop), biofuel, different types of waxes, and a diverse variety of bio-fibers are obtained from sugarcane worldwide [4]. There are two wild species (S. robustum and S. spontaneum) and ur mainly cultivated species (S. edule, S. barberi, S. sinense, and S. officinarum) of the Saccharum genus [5]. Succharum spontaneum has recently emerged as an important genetic resource for utilization in various breeding programs of sugarcane [6,7]. Most of the new sugarcane varieties have been developed from the interspecific hybridization of Saccharum officinarum and Saccharum spontaneum. The resulting varieties tend to be polyploids and aneuploids with chromosome counts ranging from 80 to 120 [8,9,10].
Historically, sugarcane crop improvement has remained centered toward sucrose content enhancement; however, recently fiber, lignin content, and biomass have become important components of modern breeding strategies [11,12,13,14]. It has been established that success of sugarcane breeding programs in order to acquire the desired traits will depend on the genetic diversity in the active germplasm banks [11,12,13,14]. For cultivar development, the regular provision of germplasm collections with accessions to diverse genetic backgrounds and quantifying genetic variability in these collections have remained essential tasks for improved management and conservation [15,16]. Recently developed biotechnological tools and approaches have emerged as potent strategies to improving traditional breeding programs, notably for understanding gene structures, genomic locations, and plant transformations. Numerous molecular studies have investigated the sugarcane genome constitution and structure and have revealed the genome size of sugarcane to be over 10 Gbp, with genes that exist in up to 10–12 allelic forms [17,18,19]. The estimated monoploid genome size ranges from 800–900 Mb, depending on the ploidy level of crop’s variety [20].
Besides intricate genomic background, recently developed cultivars of sugarcane are highly polyploid despite the fact that their mitochondrion (mt) genomes tend to be smaller and simpler along with being easily manageable which hold potential to furnish valuable phylogenetic information [21]. In other words, complex interspecific polyploid genome of sugarcane varieties has resulted in serious hampering of the complete genome exploration (both nuclear genome and organelle genome especially pertaining to mitochondrial genome and chloroplast) [22]. At present, the whole genome of AP85-441, which belongs to S. spontaneum (allele-defined genome of tetraploid) has been assembled by Zhang et al. in 2018 [23]. Modern sugarcane cultivar R570 based on bacterial artificial chromosome (BAC) clones have been assembled. The complete chloroplast genome of two sugarcane ancestors S. officinarum and S. spontaneum were assembled and analyzed [24]. With the development of next-generation sequencing technologies (NGS), a growing number of mt genomes have been assembled. At present, more than 300 complete mt genomes have been submitted to GenBank Organelle Genome Resources. The complete mitochondrial genome of modern commercial sugarcane cultivars has been obtained and analyzed [15,24,25].
Considering the interest in developing sugarcane cultivars for acquiring the desired traits, this review study provides latest insights on biotechnological approaches employed for breeding new sugarcane cultivars. Additionally, the literature has been objectively examined in an attempt to provide an amalgamation of fundamental and recent advances on gene editing technology for knocking out or inserting foreign genes to acquire desired traits in sugarcane. This study places special focus on CRISPR/Cas9 system application, its components delivery into the targeted crop genome, and advancement of CRISPR/Cas9 system for polyploidy crops such as sugarcane along with different factors affecting its efficacy. Finally, current status of genome editing in sugarcane, challenges and future perspectives have been objectively and critically highlighted.

2. Fundamentals of Gene Editing Technology

The use of gene-editing technology has provided great opportunities to researchers in the field of molecular biology by facilitating the modification and targeting of specific genes accurately. Through gene editing technologies, plant breeders have been able to develop new cultivars with desired traits. The gene editing processes can successfully knockout or insert any gene for inducing a particular function or trait [26]. Previously, numerous transgenic systems for eukaryotic genome manipulation have been developed including clustered regularly interspaced short palindromic repeats (CRISPR), transcriptional activator-like effector nucleases (TALENs) [27,28,29], and zinc finger nucleases (ZFNs) [30,31]. Among gene editing techniques, CRISPR/Cas9 system provides a low-cost, simple, and easy-to-use method for gene editing. In CRISPR/Cas9 tools, it is possible to induce site-specific double-strand breaks (DSBs) in related genes to obtain mutations. This has assisted to overcome the limitation of ZFNs and TALENs which have complex technical design processes to achieve specific objectives making them highly time-consuming and onerous in functioning [32]. However, CRISPR/Cas9 system assist in preparing double strand breaks that can be repaired by the cellular DNA repair mechanisms, namely the non-homologous end junction (NHEJ) or homologous directed repair (HDR) pathways [33]. Figure 1 illustrates few basic and advanced gene editing approaches that are being employed to develop crops varieties having desired agro-botanical traits and physiological characteristics.

2.1. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) System

Genome-editing via CRISPR is a recent technological advancement to develop new crop varieties having desired phenotypic and physiological traits along with exploring numerous biological phenomenon in crop plants. Besides having different site-directed nucleases for genome editing, the CRISPR/Cas-based genome editing approach offers a variety of advantages such as simplicity, ease of access, low cost, and flexibility [21,29]. There are different types of CRISPR/Cas systems, and each type is distinguished by a different structure of the effector module, including unique characteristic proteins [34]. The CRISPR/Cas9 is the first system for eukaryotic genome editing and is currently the most widely used genome editing system.
There are two components in the CRISPR/Cas9 system including a single guide RNA (sgRNA) and a Cas9 nuclease. The Cas9 is guided to cut the target sequence by sgRNA, which binds to the target sequence. By detecting the 3’-NGG motif (also called original spacer adjacent motif (PAM)) in the target sequence, sgRNA is able to identify the target sequence. The DNA sequences that complement the first 20 bases of sgRNA may be used as targets, but DNA can only be cleaved if PAM exists at the 3’ end of the DNA target. The motif sequence of PAM varies depending on the bacteria from which the CRISPR system was derived and the Cas protein variations used. The PAM sequence of spcas9 is 5’-NGG, and the PAM sequences for different bacteria and Cas9 variants are presented in Table 1. Transcription of sgRNA is typically driven by the U6 promoter, while Cas9 genes are typically driven by CaMV (cauliflower mosaic virus) 35S promoter or the ubiquitin promoter [35]. The Cas9 genes are usually codon-optimized to enhance the expression of the target plant species [36]. The nuclear localization signal (NLS) is also often fused to the Cas9 gene in order to direct it toward the nucleus with utmost accuracy [35]. The CRISPR/Cas9 system has been successfully used in genome editing of many plant species for producing mutants having requisite traits [37] (Figure 2 and Table 1).

2.2. Delivery of CRISPR Components

The CRISPR components can be delivered into the plant genome such as DNA, mRNA (in vitro transcript), and proteins [38]. The various types of delivery technologies include infection through penetration by Agrobacterium [39,40], gene knockouts or particle bombardment [41], electroporation [42], and virus-based delivery systems [43]. The mRNA can also be used to deliver genome editing reagents as this type of transient delivery is effective in producing the stable transgenic events along with reducing the threat of deviation from targets [44]. Besides above delivery systems, a pre-assembled Cas9 gRNA ribonucleoprotein (RNP) delivery system has also been reported (Figure 3 and Figure 4) involving the direct delivery of RNP complexes which eliminates the possibility of foreign DNA being introduced into the host genome [45].
First successfully delivered Cas9 gRNA RNPs were demonstrated in animal cells [46]. These were subsequently used in plants to induce the formation of protoplasts (mediated by PEG) from somatic tissues of tobacco, Arabidopsis, rice, petunia, grapevine, and potato. Additionally in maize and wheat, Cas9 gRNA and RNPs have also been successfully introduced into embryonic cells using the gene-gun method [47,48,49]. Recent research by Liu et al. [50] describes applying a novel liposome-mediated transfection method to introduce pre-assembled Cas9 RNP gRNA into BY2 tobacco protoplasts for genome editing.
Beside delivery systems, many factors influence the efficiency of CRISPR/Cas9 mediated knockout significantly such as the position of genes on chromatin, which has been reported to be more effective in euchromatin than heterochromatin [51]. In addition, the Cas9 delivery form (i.e., DNA, mRNA or protein) [52], the number of sgRNAs used for single-gene knockout, the sgRNA sites from the genes to be edited [53], the length of sgRNA [54], and Cas9/sgRNA threshold expression level also tend to impact the efficiency of delivery system [55]. It has been established that in order to knock out a gene, more than one sgRNA must be selected for in vitro test and then the best editing performer may be chosen for further in vivo work [56] (Figure 2 and Figure 3).

2.3. Emerging Perspectives of CRISPR System

The CRISPR/Cas9 system has been regarded as the simplest, unprecedently efficient, and highly specific that results in fewer off-targetting in comparison to conventional biotechnological approaches [49,52]. Therefore, it has emerged as a promising tool for plant genome modification. This biotechnological system has been anticipated to strategic impact on plant biology’s basic and applied research for crops including sugarcane. This development should also impact crop breeding. Gene editing facilitates the accurate and predictable modification of good varieties or materials directly rather than the arduous backcross procedure used in traditional breeding methods. CRISPR/cas9 is expected to provide a more effective method for pyramid breeding since multiple traits can be modified simultaneously [57]. Gene knockout by NHEJ is the most direct CRISPR/Cas9 technology application. To enhance crop yields and make the host more resistant to pathogens, negative regulators of grain development and disease resistance can be modified. Other gene modification methods such as gene expression regulation and epigenetic regulation may also be employed for crop improvement. Another advantage of CRISPR/Cas9 is introducing target genes into non-GM footprint crops through penetration, viral infection, or pre-assembled Cas9 protein sgRNA ribonucleoprotein transformation, thus circumventing traditional regulations of genetically modified organisms [58].
With CRISPR/Cas9 technology, it is possible to delete whole chromosomes [59] or specific genes [60] depending on the target traits intended to be acquired in field crops including sugarcane. A 1.6 KB GUS gene was removed by Srivastava et al. [60] via targeting both ends of a gene with Cas9 and two gRNAs. The transgenic plants tend to remove undesirable plant selection genes (such as the kanamycin resistance gene) while transgenic plants may retain few induced genes that has attracted criticism from regulators and consumers. However, the CRISPR technology holds advantage to replace and repair dysfunctional alleles [61] or create a site for gene integration at specific locations that minimized off-targetting [62].

2.4. CRISPR/Cas9 System in Polyploid Crops

Despite the fact that CRISPR/Cas9-mediated genome editing is widely used in plants, its efficiency continues to remain an unexplored subject. Especially in polyploid crops, it is necessary to knock out all copies of genes with the same function at the same time because of functional redundancy between parahomologous genes and homologous genes. Optimization of Cas9 codon, promoter, and target sequence composition (GC content) could impact the mutation efficiency of polyploid crops [63]. The design of sgRNA in polyploid crops is more complex than in diploid species such as Arabidopsis and rice. Some advanced CRISPR/Cas9 tools have been developed for sgRNA design (CRISPR-p and CRISPR-p2.0); however, limitations still exist for genome editing of polyploid plants [64]. To knock out both homologous and paralogous genes simultaneously, it is necessary to design sgRNA that targets all copies of each gene (parahomologous and homologous genes). The sgRNA can be designed manually after sequence analysis to target all genes or specific gene copies.
Interestingly, when there are not many conserved regions in homologous genes, it is necessary to divide these genes into multiple groups and design sgRNAs based on the conserved regions in each group. A new homologous gene from Streptococcus pyogenes spCas9 has been demonstrated to be effective for gene editing in plants, including Streptococcus thermophilus (stCas9) and Staphylococcus aureus (saCas9) [65]. In Streptococcus pyogenes, the RNA-guided endonuclease Cas9 is too large to be used for genome targeting. SPACas9 from Staphylococcus aureus also targets the genome with high efficiency similar to spCas9; however, its size is shorter than spCas9, which makes it easier to use for genome targeting [66]. The CRISPR/cpf1 is a new variant of CRISPR that has shown its effectiveness in editing plant genomes as CRISPR/Cas9 [67]. The CRISPR/CPF1 PAM is tttn that is suitable for targeting complex regions of the genome such as the promoter region. The CRISPR/cpf1 produces DSB with a 5’ sticky end that tends to promote NHEJ gene mutation during the repair process. In addition, several extended PAM sequences have been identified for Cas9 and cpf1 that imparts extension to the recognition sites for the PAM sequences. Moreover, the CRISPR/Cas9 introduces a base editing function by introducing cytidine deaminase into the genome [57,58].

2.5. Factors Affecting the Activity of CRISPR/Cas9

Among many factors that affect the activity of CRISPR/Cas9, the presence of an effective vector constitute the most strategic factor which ensures successful delivery of cas9 protein and sgRNA to the nucleus in CRISPR/Cas9 gene modification. The Cas9 gene and sgRNA gene can be combined on a single plasmid or separate plasmids [68]. The Cas9 has been driven by promoters commonly used in plant transformation, namely ubiquitin and the 35S promoter of cauliflower mosaic virus (CaMV 35S). It is common practice to attach the Cas9 gene to molecular tags in order to detect/purify proteins and nuclear localization signals (NLS) and to facilitate the entry of the Cas9 protein into the nucleus [69]. Xing et al. [70] have demonstrated the effectiveness of pcambia-based sgRNA module vectors in many plant species. The module vectors were constructed by assembling two or more sgRNA expression cassettes using the golden gate or Gibson assembly methods. Additionally, it has been demonstrated that the vector has a high mutation efficiency (60–95%) in transgenic lines for maize. Moreover, many biallelic mutations can also be efficiently passed on to the next generation [71].
Besides the presence of effective factor, several other factors influence the mutation efficiency of CRISPR/Cas9, including the specificity of the gene target, the location of the PAM sequence, the nature of the sgRNA sequence, the promoter of the Cas9 gene and sgRNA, the tissue of interest, and the conversion technology used. It has been suggested that target genes must be selceted carefully because some genes are essential for cell growth and gene knockout can be fatal to plants. Crops usually contain multiple copies of a gene due to rearrangements, polyploidy, or replication. Therefore, the nonspecific nature of sgRNA may result in biallelic mutation or chimerism. Among the acetyllactate synthase gene family members in maize, there are Als1 and ALS2 on chromosomes 4 and 5, respectively. It was reported that non-gene specific sgRNAs resulted in biallelic mutations in two ALS genes, resulting in the recovery of unstable events. A sgRNA designed for ALS2 based on the polymorphism between Als1 and ALS2 could induce the necessary mutation as inferred by Svitashev et al. [47]. A target site’s GC content can also affect the stability of DNA sgRNA hybridization. The GC content is high, which allows DNA–RNA hybridization to be stable, but a more stable hybridization also increases miss rates. Up to 35% of the GC content in the target region exhibits good Cas9 enzyme activity with little deviation from the target [72]. A PAM sequence is typically NGG, although nag can also be used to reduce nucleases’ ability to bind to genomic DNA [73]. The NRG’s binding efficiency is only one fifth that of NGG’s. Each base in the PAM sequence influences the binding efficiency of nuclease. The PAM’s first nucleotide is the least conservative, but the G in position two improves binding efficiency by 90%, therefore NRG’s stability is lower than that of NGG’s [74]. The activity of sgRNA also depends on its length. Long sgRNAs of 19 nucleotides are more effective than truncated sgRNAs of 17–18 nucleotides and longer 22–23 nucleotides sgRNAs.
In addition to target sequence and surrounding sequence characteristics, sgRNA may also impact its function [72]. The CaMV 35S promoter has been extensively used to activate the Cas9 gene in dicotyledonous plants. When Cas9 is expressed in maize or other monocotyledonous plants, the expression of the ubiquitin promoter is more often used. sgRNA is generally expressed using plant RNA polymerase III promoters such as U6 and U3. These promoters have defined transcription initiation nucleotides, which are “g” for U6 and “a” for U3 as reported by Belhaj et al. [35]. In terms of RNA polymerase type III preference, the starting nucleotide is not strict, but it may have a significant impact on the mutation efficiency of targeted genes [59].

3. Current Status of Genome Editing in Sugarcane

Previously, sugarcane genome editing has been reported by Jung and Altpeter [75] (2016), who attempted to reduce the lignin content of sugarcane by knocking out the COMT gene. It has been inferred that target mutation in 74% of the transgenic lines might be achieved and it was also observed that 8–99% of the wild-type COMT alleles could be mutated in each line. Transgenic plants with 99% mutation frequency decreased their lignin content by 29–32% in the greenhouse experiment compared to control untransformed plants. Moreover, the mutant phenotypes and mutations did not differ among the clones of vegetative reproduction. Despite the fact that 99% mutation frequency only leads to 29–32% reduction in lignin content in transgenic plants, while biochemical plasticity may be able to save the target activity of knockouts in certain situations. It has been reported by Smits et al. [76] that about 31 of the quantitative targets produced by CRISPR were found to have residual protein expression from low to original levels, with varying degrees of residual expression in 136 different genes produced by CRISPR-induced frame shift in Hap1 cells. Kannan et al. [77] investigated genome-edited strains’ mutation efficiency and field performance. It was inferred that in mutant lines, the proportion of “butyryl guaiacyl” and lignin level were decreased by 19.7%. Compared to the control plants, these production lines recorded higher saccharification efficiency (up to 43.8%) without affecting the biomass production. According to the sequence of the COMT region of a mutant line CB6, 107 COMT alleles were edited out of a total of 109 copies. The CB6 recorded a decrease in lignin content by over 19% and an increase in saccharification efficiency (54%), while its agronomic characteristics were similar to the control plant. The results have indicated that transgenic tools might be effectively used for the modification of sugarcane genome. However, a complex genome needs to be operated in a highly specific manner to prevent unwanted mutations and cytotoxicity. Additionally, an ideal genome engineering system should be easy to design and must provide accurate targeting and efficient delivery of cells. Despite the fact that talens are easier to generate than ZFNs, they may result in off target binding [78]. For effective talen-mediated genome editing, two different tale nuclease genes must heterodimerize around the target, which may reduce the efficiency. In contrast, CRISPR/Cas9 can be designed and implemented more simply than other GE tools. A simple nuclease and a single gRNA are needed that can be transmitted to the host cells. In some cases, it has been demonstrated that the CRISPR/Cas9 system can successfully modify some recalcitrant gene targets against Tarun [30,38]. The CRISPR/Cas9 technology has the potential to serve as an important tool for gene editing of polyploidy crops such as sugarcane. Shabbir et al. [1] recently edited the sugarcane genome using the CRISPR/Cas9 system, while this technique has also been used to edit multiple alleles of the magnesium chelatase gene [79]. Oz et al. [80] also reported that CRISPR/Cas9 was employed to co-edit multiple alleles of the acetyllactate synthase (ALS) gene through template-mediated and homologous directed repair (HDR) for developing herbicide resistance. It may be inferred that CRISPR/Cas9 is effective for genome editing of polyploids such as sugarcane, thereby allowing for greater precision in sugarcane genome editing.

4. Prospects and Challenges of Sugarcane Genome Editing

Sugarcane is a highly polyploid crop having chromosomes in the range of 80 to 120 due to aristocracy. The genome’s size is about 10 GB, and the number of copies of homologous genes range between 8 and 12 [17,18]. The haploid genome size has been reported to be 750–930 MB [81]. It may be inferred that sugarcane genetics is complex and therefore difficult to breed regularly using traditional gene editing techniques and approaches. Currently, genetically modified (GM) sugarcane is being produced. As generic engineering (GE) utilizes engineered nucleases to insert, delete, or replace data in the genome, CRISPR/Cas9 makes genome editing much easier than GE. It has been inferred that introducing targeted mutations in sugarcane might help to increase lignocellulosic and ethanol yield [75]. It has become possible to introduce double-strand breaks at multiple sites in the genome using the CRISPR system and therefore, multiple genes can be targeted simultaneously [82]. Recently, Mohan [83] described the main obstacles to sugarcane genome editing which include designing of specific gRNA for specific genes for which genome sequence information is the primary requirement. However, one of the major problems with CRISPR technology is the deviation from the target. In previous studies, the CRISPR/Cas9 technology has been found to have fewer off-target effects in various plant species [35]. In sugarcane, transgene silencing is another major disadvantage of genetic engineering that hinders crop development as transcriptional and post-transcriptional effects of transgene silencing have been reported by Hansom et al. [84], which might be countered through CRISPR/Cas9 technique. It is interesting to note that one of the major components of CRISPR technology is the mutation analysis that constitutes as the greatest challenge in sugarcane genome editing because of the lack of high-throughput screening methods. To cope with this challenge, different tools for CRISPR analysis such as T7 analysis/detection analysis, PCR, restriction analysis, and Sanger sequencing/nGS might be explored further for imparting desired traits in newly developed genetic lines of sugarcane.
Up till now, deploying these methods to analyze sugarcane genome mutations remains a challenging task, and further studies are necessary to identify appropriate analysis tools. However, CRISPR/Cas9 system holds advantage over conventional breeding that is generally time-consuming and labor-intensive as the reproduction cycle may take 12–15 years from hybridization to release of new variety with improved traits [85]. The conventional breeding process also makes it difficult to manipulate multiple genes or complex metabolic pathways. Transgenic plant technology, particularly CRISPR/Cas9 system, has several advantages for complex polyploid plant species [37]. There are only a few reports on CRISPR/Cas9-mediated sugarcane gene editing. This is partially due to the lack of information about sugarcane genome sequences. Due to Sugarcane’s complex genome and high polyploidy, it has been very complicated to explore accurate genome sequencing and functional genomics [86].
Additionally, one of the biggest advantage of CRISPR/Cas9 technology is it can identify genes associated with specific traits. For instance, by combining phylogenetic analysis, whole genome sequencing, and CRISPR/Cas9 gene knockout technique, Huang et al. [87] identified many rice high-yield genes. Initially, 28 ancestral chromosome fragments found in all high-yielding rice varieties were identified. Subsequently, 57 genes from 123 loci for gene knockout (or knockout) studies were randomly selected as most of them had phenotypic effects on rice production. Functional genomics screening based on CRISPR/Cas9 is also a powerful method of systematically identifying genes associated with specific phenotypes. An experimental CRISPR library containing 25,265 pooled siRNAs targeting 12,786 genes has been constructed by Meng et al. [88]. In addition, sgRNA was cloned to generate a plasmid library for rice transformation, which resulted in more than 14,000 independent, 10-line lines that demonstrated a high edit frequency. Out of the 200 strains tested, 54 changed the morphological phenotype. Over the past few years, the lack of genome sequence data has been a major obstacle in editing sugarcane genomes using GE tools. A genome-wide draft of Brazil’s popular commercial sugarcane hybrid sp80-3280 has been produced using truseq technology from Illumina [89].
The haploid reference genome of sugarcane was published by Garsmeur et al. [20]. During the same year, Zhang et al. [23] sequenced the genome of haploid spontaneous Streptococcus ap85-441 and obtained the genome defined by alleles. Researchers will have better opportunities to accurately locate sugarcane crops using the CRISPR/Cas9 system because detailed genome mapping of sugarcane has become available recently [17,18]. However, having a reference genome may not be enough and additional information of high quality is still required which necessitates conducting further in-depth studies. Even if there is a 1-BP difference between the real genome and the reference genome, it becomes difficult to perform genome editing. Furthermore, the genotype sequence to be edited may differ from the reference genotype. Consequently, the target sequence of a given genotype should be obtained before editing. Another disadvantage of germanium in sugarcane is its time-consuming transformation process. Sugarcane has been successfully transformed numerous times [22,24,25], but its transformation efficiency has remained quite low compared to other crops [90]. Thus, developing an efficient sugarcane transformation system can be of great importance to transport transgenic components and acquire desired trait through effective genome editing [21].
Interestingly, transient analysis techniques such as ag infiltration and protoplast use are not applicable to sugarcane, even though these techniques are typically used for genome editing in a wide array of plant species. Lowe et al. [91] demonstrated that overexpressing baby boom (BBM) and wuschel2 (wus2) gene in maize (maize) can enhance transformation efficiency of monocotyledons. It has also been demonstrated that using this method can increase the transformation efficiency of young embryos of sorghum (two-color sorghum), sugarcane callus (sugarcane), and rice (Oryza sativa SSP indica) as well as produce a high level of transformation in inbred lines of maize that previously were un-transferrable [92,93,94,95]. As the use of constitutive promoters often leads to phenotypic abnormalities and sterility in transgenic plants, so the tissue-specific promoter ZM PLTP (phospholipid transferase protein) have been used for stimulating fertilization of transgenic plants [96,97,98,99]. Using this method, many embryos can be transformed and germinated directly into plants without undergoing the growth process of a callus [100]. Thus, using this morphogenetic regulator rather than hormones might lead to significant improvement in the transformation efficiency of monocotyledonous plant species such as sugarcane. Thus, despite the challenges, targeted base gene editing without induction of a foreign DNA donor [9,101,102,103,104,105,106,107] or cleavage of double-stranded DNA [108,109,110,111] in sugarcane hold bright perspectives to accelerate genome modification (Table 2 and Table 3) and breeding for boosting its productivity and sugar recovery on sustainable basis.

5. Conclusions

Plant breeding and genetics have been persistently evolving and genetic modification-based innovations hold the key to meet the challenges of today’s global food and nutritional security. Under changing climate, it has become necessary to continuously introduce new allelic variants to improve crops yield and nutritional quality. However, it has been a challenging task to subject sugarcane to genetic engineering and breeding approaches because of the large genomes and polyploid properties. The application of genome editing technology in plants may provide a wide range of opportunities for breeding sugarcane varieties with desired traits. Among the recently developed technologies, the CRISPR/Cas9 system might be effectively used to generate high frequency mutants in sugarcane having targeted agro-botanical and physiological characteristics for sustainably boosting its productivity under changing climate scenario. It has great potential for facilitating genome-wide functional research in the context of polyploid crops such as sugarcane which have been difficult to breed using conventional breeding techniques. The CRISPR/Cas9 technology has been demonstrated to be efficient in editing multiple alleles of the magnesium chelatase gene in sugarcane. It has also been reported that gene targeting for the acetyllactate synthase gene can be achieved through template-mediated and homologous-directed repairs of DNA double strand breaks caused by the CRISPR/Cas9 enzyme, resulting in extensive herbicide resistance. It may be inferred that CRISPR/Cas9 can effectively edit polyploids such as sugarcane, allowing more precise control over its genome editing in order to develop new cultivars having desired agro-botanical traits on sustainable basis.

Author Contributions

Conceptualization, S.H.H., X.L., C.L., M.A.I. and R.A.; methodology, S.H.H., M.D., M.A.I. and X.L.; validation, M.I. and G.H.J.; writing—original draft preparation, S.H.H., M.A.I., R.A., C.L. and X.L.; writing—review and editing, S.H.H., X.L., R.A. and M.A.I. All authors have read and agreed to the published version of the manuscript.

Funding

This study was funded by the Yunnan Intelligence Union Program (202103AM140033), Yunnan Fundamental Research Projects (2019FA016), National Natural Science Foundation of China (31901590) and Yunnan Science and Technology Talent and Platform Program (202205AM070001).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Shabbir, R.; Javed, T.; Afzal, I.; Sabagh, A.; Ali, A.; Vicente, O.; Chen, P. Modern Biotechnologies: Innovative and Sustainable Approaches for the Improvement of Sugarcane Tolerance to Environmental Stresses. Agronomy 2021, 11, 1042. [Google Scholar] [CrossRef]
  2. Iqbal, M.A.; Iqbal, A.; Ali, K.; Ali, H.; Khan, R.D.; Ahmad, B.; Nabeel, F.; Raza, A. Integration of forage sorghum and by-products of sugarcane and sugar beet industries for ruminant nutrition: A review. Glob. Vet. 2015, 14, 752–760. [Google Scholar]
  3. Iqbal, M.A.; Iqbal, A. Sugarcane production, economics and industry in Pakistan. Am. J. Agric. Environ. 2015, 14, 1470–1477. [Google Scholar]
  4. Iqbal, M.A.; Saleem, A.M. Sugar beet potential to beat sugarcane as a sugar crop in Pakistan. Am. J. Agric. Environ. 2015, 15, 36–44. [Google Scholar]
  5. Aitken, K.; McNeil, M. Diversity analysis. In Genetics, Genomics and Breeding of Sugarcane; CRC Press: Boca Raton, FL, USA, 2010; pp. 19–42. ISBN 9780429070020. [Google Scholar]
  6. Yadav, S.; Jackson, P.; Wei, X.; Ross, E.M.; Aitken, K.; Deomano, E.; Atkin, F.; Hayes, B.J.; Voss-Fels, K.P. Accelerating Genetic Gain in Sugarcane Breeding Using Genomiyc Selection. Agronomy 2020, 10, 585. [Google Scholar] [CrossRef]
  7. Zhou, D.; Liu, Y.; Yao, J.; Yin, Z.; Wang, X.; Xu, L.; Que, Y.; Mo, P.; Liu, X. Characterization and Phylogenetic Analyses of the Complete Mitochondrial Genome of Sugarcane (Saccharum spp. Hybrids) Line A1. Diversity 2022, 14, 333. [Google Scholar] [CrossRef]
  8. Vats, S.; Kumawat, S.; Kumar, V.; Patil, G.B.; Joshi, T.; Sonah, H.; Sharma, T.R.; Deshmukh, R. Genome Editing in Plants: Exploration of Technological Advancements and Challenges. Cells 2019, 8, 1386. [Google Scholar] [CrossRef]
  9. Wang, Z.; Ren, H.; Xu, F.; Lu, G.; Cheng, W.; Que, Y.; Xu, L. Genome-Wide Characterization of Lectin Receptor Kinases in Saccharum spontaneum L. and Their Responses to Stagonospora tainanensis Infection. Plants 2021, 10, 322. [Google Scholar] [CrossRef]
  10. Wang, Z.; Xu, F.; Ren, H.; Lu, G.; Que, Y.; Xu, L. Genome-Wide Characterization of NLRs in Saccharum spontaneum L. and Their Responses to Leaf Blight in Saccharum. Agronomy 2021, 11, 153. [Google Scholar] [CrossRef]
  11. Ali, A.; Khan, M.; Sharif, R.; Mujtaba, M.; Gao, S.-J. Sugarcane Omics: An Update on the Current Status of Research and Crop Improvement. Plants 2019, 8, 344. [Google Scholar] [CrossRef]
  12. Wu, J.; Wang, Q.; Xie, J.; Pan, Y.-B.; Zhou, F.; Guo, Y.; Chang, H.; Xu, H.; Zhang, W.; Zhang, C.; et al. SSR Marker-Assisted Management of Parental Germplasm in Sugarcane (Saccharum spp. hybrids) Breeding Programs. Agronomy 2019, 9, 449. [Google Scholar] [CrossRef]
  13. Xu, F.; He, L.; Gao, S.; Su, Y.; Li, F.; Xu, L. Comparative Analysis of two Sugarcane Ancestors Saccharum officinarum and S. spontaneum based on Complete Chloroplast Genome Sequences and Photosynthetic Ability in Cold Stress. Int. J. Mol. Sci. 2019, 20, 3828. [Google Scholar] [CrossRef] [PubMed]
  14. Ahmad, A.; Wang, J.-D.; Pan, Y.-B.; Sharif, R.; Gao, S.-J. Development and Use of Simple Sequence Repeats (SSRs) Markers for Sugarcane Breeding and Genetic Studies. Agronomy 2018, 8, 260. [Google Scholar] [CrossRef] [Green Version]
  15. Nayak, S.N.; Song, J.; Villa, A.; Pathak, B.; Ayala-Silva, T.; Yang, X.; Todd, J.; Glynn, N.C.; Kuhn, D.N.; Glaz, B.; et al. Promoting Utilization of Saccharum spp. Genetic Resources through Genetic Diversity Analysis and Core Collection Construction. PLoS ONE 2014, 9, e110856. [Google Scholar]
  16. Manechini, J.R.V.; Da Costa, J.B.; Pereira, B.T.; Carlini-Garcia, L.A.; Xavier, M.A.; Landell, M.G.D.A.; Pinto, L.R. Unraveling the genetic structure of Brazilian commercial sugarcane cultivars through microsatellite markers. PLoS ONE 2018, 13, e0195623. [Google Scholar]
  17. Souza, G.M.; Berges, H.; Bocs, S.; Casu, R.; D’Hont, A.; Ferreira, J.E.; Henry, R.; Ming, R.; Potier, B.; Van Sluys, M.-A.; et al. The Sugarcane Genome Challenge: Strategies for Sequencing a Highly Complex Genome. Trop. Plant Biol. 2011, 4, 145–156. [Google Scholar]
  18. Souza, G.M.; Van Sluys, M.A.; Lembke, C.G.; Lee, H.; Margarido, G.R.A.; Hotta, C.T.; Gaiarsa, J.W.; Diniz, A.L.; Oliveira, M.D.M.; Ferreira, S.D.S.; et al. Assembly of the 373k gene space of the polyploid sugarcane genome reveals reservoirs of functional diversity in the world’s leading biomass crop. GigaScience 2019, 8, 129. [Google Scholar]
  19. De Setta, N.; Monteiro-Vitorello, C.B.; Metcalfe, C.J.; Cruz, G.M.Q.; Del Bem, L.E.; Vicentini, R.; Nogueira, F.T.S.; Campos, R.A.; Nunes, S.L.; Turrini, P.C.G.; et al. Building the sugarcane genome for biotechnology and identifying evolutionary trends. BMC Genom. 2014, 15, 540. [Google Scholar] [CrossRef]
  20. Garsmeur, O.; Droc, G.; Antonise, R.; Grimwood, J.; Potier, B.; Aitken, K.; Jenkins, J.; Martin, G.; Charron, C.; Hervouet, C.; et al. A mosaic monoploid reference sequence for the highly complex genome of sugarcane. Nat. Commun. 2018, 9, 2638. [Google Scholar]
  21. Altpeter, F.; Springer, N.M.; Bartley, L.E.; Blechl, A.E.; Brutnell, T.P.; Citovsky, V.; Conrad, L.J.; Gelvin, S.B.; Jackson, D.P.; Kausch, A.P.; et al. Advancing Crop Transformation in the Era of Genome Editing. Plant Cell 2016, 28, 1510–1520. [Google Scholar]
  22. Augustine, S.M.; Narayan, J.A.; Syamaladevi, D.P.; Appunu, C.; Chakravarthi, M.; Ravichandran, V.; Subramonian, N. Erianthus arundinaceus HSP70 (EaHSP70) overexpression increases drought and salinity tolerance in sugarcane (Saccharum spp. hybrid). Plant Sci. 2015, 232, 23–34. [Google Scholar] [CrossRef] [PubMed]
  23. Zhang, J.; Zhang, X.; Tang, H.; Zhang, Q.; Hua, X.; Ma, X.; Zhu, F.; Jones, T.; Zhu, X.; Bowers, J.; et al. Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L. Nat. Genet. 2018, 50, 1565–1573. [Google Scholar] [CrossRef] [PubMed]
  24. Augustine, S.M.; Narayan, J.A.; Syamaladevi, D.P.; Appunu, C.; Chakravarthi, M.; Ravichandran, V.; Tuteja, N.; Subramonian, N. Introduction of Pea DNA Helicase 45 into Sugarcane (Saccharum spp. Hybrid) Enhances Cell Membrane Thermostability and Upregulation of Stress-Responsive Genes Leads to Abiotic Stress Tolerance. Mol. Biotechnol. 2015, 57, 475–488. [Google Scholar] [CrossRef] [PubMed]
  25. Augustine, S.M.; Narayan, J.A.; Syamaladevi, D.P.; Appunu, C.; Chakravarthi, M.; Ravichandran, V.; Tuteja, N.; Subramonian, N. Overexpression of EaDREB2 and pyramiding of EaDREB2 with the pea DNA helicase gene (PDH45) enhance drought and salinity tolerance in sugarcane (Saccharum spp. hybrid). Plant Cell Rep. 2014, 34, 247–263. [Google Scholar] [CrossRef] [PubMed]
  26. Smith, I.; Greenside, P.G.; Natoli, T.; Lahr, D.L.; Wadden, D.; Tirosh, I.; Narayan, R.; Root, D.E.; Golub, T.R.; Subramanian, A.; et al. Evaluation of RNAi and CRISPR technologies by large-scale gene expression profiling in the Connectivity Map. PLoS Biol. 2017, 15, e2003213. [Google Scholar] [CrossRef]
  27. Li, C.; Yue, Y.; Chen, H.; Qi, W.; Song, R. The ZmbZIP22 Transcription Factor Regulates 27-kD γ-Zein Gene Transcription during Maize Endosperm Development. Plant Cell 2018, 30, 2402–2424. [Google Scholar] [CrossRef]
  28. Li, J.; Zhang, X.; Sun, Y.; Zhang, J.; Du, W.; Guo, X.; Li, S.; Zhao, Y.; Xia, L. Efficient allelic replacement in rice by gene editing: A case study of the NRT1.1B gene. J. Integr. Plant Biol. 2018, 60, 536–540. [Google Scholar] [CrossRef]
  29. Li, J.; Yang, J.; Li, Y.; Ma, L. Current strategies and advances in wheat biology. Crop J. 2020, 8, 879–891. [Google Scholar] [CrossRef]
  30. 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]
  31. Carroll, D. Genome engineering with zinc-finger nucleases. Genetics 2011, 188, 773–782. [Google Scholar] [CrossRef]
  32. Jaganathan, D.; Ramasamy, K.; Sellamuthu, G.; Jayabalan, S.; Venkataraman, G. CRISPR for crop improvement: An update review. Front. Plant Sci. 2018, 9, 985. [Google Scholar] [CrossRef] [PubMed]
  33. Waterworth, W.M.; Drury, G.E.; Bray, C.M.; West, C.E. Repairing breaks in the plant genome: The importance of keeping it together. New Phytol. 2011, 192, 805–822. [Google Scholar] [CrossRef] [PubMed]
  34. Koonin, E.V.; Makarova, K.S. Origins and evolution of CRISPR-Cas systems. Philos. Trans. R. Soc. B Biol. Sci. 2019, 374, 20180087. [Google Scholar] [CrossRef] [PubMed]
  35. 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] [PubMed]
  36. Bortesi, L.; Fischer, R. The CRISPR/Cas9 system for plant genome editing and beyond. Biotechnol. Adv. 2015, 33, 41–52. [Google Scholar] [CrossRef]
  37. Ma, X.; Zhu, Q.; Chen, Y.; Liu, Y.-G. CRISPR/Cas9 Platforms for Genome Editing in Plants: Developments and Applications. Mol. Plant 2016, 9, 961–974. [Google Scholar] [CrossRef] [PubMed]
  38. Ran, Y.; Liang, Z.; Gao, C. Current and future editing reagent delivery systems for plant genome editing. Sci. China Life Sci. 2017, 60, 490–505. [Google Scholar] [CrossRef] [PubMed]
  39. Yin, K.; Han, T.; Liu, G.; Chen, T.; Wang, Y.; Yu, A.Y.L.; Liu, Y. A geminivirus-based guide RNA delivery system for CRISPR/Cas9 mediated plant genome editing. Sci. Rep. 2015, 5, 14926. [Google Scholar] [CrossRef]
  40. Char, S.N.; Neelakandan, A.K.; Nahampun, H.; Frame, B.; Main, M.; Spalding, M.H.; Becraft, P.W.; Meyers, B.C.; Walbot, V.; Wang, K.; et al. An Agrobacterium-delivered CRISPR/Cas9 system for high-frequency targeted mutagenesis in maize. Plant Biotechnol. J. 2017, 15, 257–268. [Google Scholar] [CrossRef] [PubMed]
  41. Liang, Z.; Chen, K.; Li, T.; Zhang, Y.; Wang, Y.; Zhao, Q.; Liu, J.; Zhang, H.; Liu, C.; Ran, Y.; et al. Efficient DNA-free genome editing of bread wheat using CRISPR/Cas9 ribonucleoprotein complexes. Nat. Commun. 2017, 8, 14261. [Google Scholar] [CrossRef] [PubMed]
  42. Bhowmik, P.; Ellison, E.; Polley, B.; Bollina, V.; Kulkarni, M.; Ghanbarnia, K.; Song, H.; Gao, C.; Voytas, D.; Kagale, S. Targeted mutagenesis in wheat microspores using CRISPR/Cas9. Sci. Rep. 2018, 8, 6502. [Google Scholar] [CrossRef] [PubMed]
  43. Zaidi, S.S.-E.; Mansoor, S. Viral Vectors for Plant Genome Engineering. Front. Plant Sci. 2017, 8, 539. [Google Scholar] [CrossRef]
  44. Stoddard, J.L.; Van Sickle, J.; Herlihy, A.T.; Brahney, J.; Paulsen, S.; Peck, D.V.; Mitchell, R.; Pollard, A.I. Continental-Scale Increase in Lake and Stream Phosphorus: Are Oligotrophic Systems Disappearing in the United States? Environ. Sci. Technol. 2016, 50, 3409–3415. [Google Scholar] [CrossRef]
  45. Wolter, F.; Puchta, H. The CRISPR/Cas revolution reaches the RNA world: Cas13, a new Swiss Army knife for plant biologists. Plant J. 2018, 94, 767–775. [Google Scholar] [CrossRef] [PubMed]
  46. Cho, S.W.; Lee, J.; Carroll, D.; Kim, J.-S.; Lee, J. Heritable Gene Knockout in Caenorhabditis elegans by Direct Injection of Cas9–sgRNA Ribonucleoproteins. Genetics 2013, 195, 1177–1180. [Google Scholar] [CrossRef] [PubMed]
  47. 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] [PubMed]
  48. Liang, Z.; Chen, K.; Zhang, Y.; Liu, J.; Yin, K.; Qiu, J.-L.; Gao, C. Genome editing of bread wheat using biolistic delivery of CRISPR/Cas9 in vitro transcripts or ribonucleoproteins. Nat. Protoc. 2018, 13, 413–430. [Google Scholar] [CrossRef]
  49. Li, J.F.; Norville, J.E.; Aach, J.; McCormack, M.; Zhang, D.; Bush, J.; Church, G.M.; Sheen, J. Multiplex and homologous recombination–mediated genome editing in Arabidopsis and Nicotiana benthamiana using guide RNA and Cas9. Nat. Biotechnol. 2013, 31, 688–691. [Google Scholar] [CrossRef]
  50. Liu, W.; Rudis, M.R.; Cheplick, M.H.; Millwood, R.J.; Yang, J.P.; Ondzighi-Assoume, C.A.; Montgomery, G.A.; Burris, K.P.; Mazarei, M.; Chesnut, J.D.; et al. Lipofection-mediated genome editing using DNA-free delivery of the Cas9/gRNA ribonucleoprotein into plant cells. Plant Cell Rep. 2020, 39, 245–257. [Google Scholar] [CrossRef] [PubMed]
  51. Jensen, K.T.; Fløe, L.; Petersen, T.S.; Huang, J.; Xu, F.; Bolund, L.; Luo, Y.; Lin, L. Chromatin accessibility and guide sequence secondary structure affect CRISPR-Cas9 gene editing efficiency. FEBS Lett. 2017, 591, 1892–1901. [Google Scholar] [CrossRef] [PubMed]
  52. Kouranova, E.; Forbes, K.; Zhao, G.; Warren, J.; Bartels, A.; Wu, Y.; Cui, X. CRISPRs for Optimal Targeting: Delivery of CRISPR Components as DNA, RNA, and Protein into Cultured Cells and Single-Cell Embryos. Hum. Gene Ther. 2016, 27, 464–475. [Google Scholar] [CrossRef] [PubMed]
  53. Zhang, Y.; Liang, Z.; Zong, Y.; Wang, Y.; Liu, J.; Chen, K.; Qiu, J.-L.; Gao, C. Efficient and transgene-free genome editing in wheat through transient expression of CRISPR/Cas9 DNA or RNA. Nat. Commun. 2016, 7, 12617. [Google Scholar] [CrossRef] [PubMed]
  54. Zhao, Y.; Zhang, C.; Liu, W.; Gao, W.; Liu, C.; Song, G.; Li, W.X.; Mao, L.; Chen, B.; Xu, Y.; et al. An alternative strategy for targeted gene replacement in plants using a dual-sgRNA/Cas9 design. Sci. Rep. 2016, 6, 23890. [Google Scholar] [CrossRef] [PubMed]
  55. Yuen, G.; Khan, F.J.; Gao, S.; Stommel, J.M.; Batchelor, E.; Wu, X.; Luo, J. CRISPR/Cas9-mediated gene knockout is insensitive to target copy number but is dependent on guide RNA potency and Cas9/sgRNA threshold expression level. Nucleic Acids Res. 2017, 45, 12039–12053. [Google Scholar] [CrossRef] [PubMed]
  56. Zou, D.; Wang, W.; Lei, D.; Yin, Y.; Ren, P.; Chen, J.; Yin, T.; Wang, B.; Wang, G.; Wang, Y. Penetration of blood–brain barrier and antitumor activity and nerve repair in glioma by doxorubicin-loaded monosialoganglioside micelles system. Int. J. Nanomed. 2017, 12, 4879–4889. [Google Scholar] [CrossRef] [PubMed]
  57. Dreissig, S.; Schiml, S.; Schindele, P.; Weiss, O.; Rutten, T.; Schubert, V.; Gladilin, E.; Mette, M.F.; Puchta, H.; Houben, A. Live-cell CRISPR imaging in plants reveals dynamic telomere movements. Plant J. 2017, 91, 565–573. [Google Scholar] [CrossRef] [PubMed]
  58. Duan, J.; Lu, G.; Hong, Y.; Hu, Q.; Mai, X.; Guo, J.; Si, X.; Wang, F.; Zhang, Y. Live imaging and tracking of genome regions in CRISPR/dCas9 knock-in mice. Genome Biol. 2018, 19, 192. [Google Scholar] [CrossRef] [PubMed]
  59. Zhu, J.; Song, N.; Sun, S.; Yang, W.; Zhao, H.; Song, W.; Lai, J. Efficiency and Inheritance of Targeted Mutagenesis in Maize Using CRISPR-Cas9. J. Genet. Genom. 2016, 43, 25–36. [Google Scholar] [CrossRef] [PubMed]
  60. Srivastava, V.; Underwood, J.L.; Zhao, S. Dual-targeting by CRISPR/Cas9 for precise excision of transgenes from rice genome. Plant Cell Tissue Organ Cult. 2017, 129, 153–160. [Google Scholar] [CrossRef]
  61. Li, T.; Liu, B.; Spalding, M.H.; Weeks, D.P.; Yang, B. High-efficiency TALEN-based gene editing produces disease-resistant rice. Nat. Biotechnol. 2012, 30, 390–392. [Google Scholar] [CrossRef] [PubMed]
  62. Begemann, M.B.; Gray, B.N.; January, E.; Gordon, G.C.; He, Y.; Liu, H.; Wu, X.; Brutnell, T.P.; Mockler, T.C.; Oufattole, M. Precise insertion and guided editing of higher plant genomes using Cpf1 CRISPR nucleases. Sci. Rep. 2017, 7, 11606. [Google Scholar] [CrossRef] [PubMed]
  63. Sauer, N.J.; Mozoruk, J.; Miller, R.B.; Warburg, Z.J.; Walker, K.A.; Beetham, P.R.; Schöpke, C.R.; Gocal, G.F.W. Oligonucleotide-directed mutagenesis for precision gene editing. Plant Biotechnol. J. 2015, 14, 496–502. [Google Scholar] [PubMed]
  64. Mushtaq, M.; Bhat, J.A.; Mir, Z.A.; Sakina, A.; Ali, S.; Singh, A.K.; Tyagi, A.; Salgotra, R.K.; Dar, A.A.; Bhat, R. CRISPR/Cas approach: A new way of looking at plant-abiotic interactions. J. Plant Physiol. 2018, 224, 156–162. [Google Scholar] [CrossRef]
  65. Lo, A.; Qi, L. Genetic and epigenetic control of gene expression by CRISPR–Cas systems. F1000Research 2017, 6, 747. [Google Scholar] [CrossRef]
  66. Lowder, L.G.; Zhang, D.; Baltes, N.J.; Paul, J.W., III; Tang, X.; Zheng, X.; Voytas, D.F.; Hsieh, T.F.; Zhang, Y.; Qi, Y. A CRISPR/Cas9 toolbox for multiplexed plant genome editing and transcriptional regulation. Plant Physiol. 2015, 169, 971–985. [Google Scholar]
  67. Chen, B.; Gilbert, L.A.; Cimini, B.A.; Schnitzbauer, J.; Zhang, W.; Li, G.-W.; Park, J.; Blackburn, E.H.; Weissman, J.S.; Qi, L.S.; et al. Dynamic Imaging of Genomic Loci in Living Human Cells by an Optimized CRISPR/Cas System. Cell 2013, 155, 1479–1491. [Google Scholar] [CrossRef] [PubMed]
  68. Jiang, Y.Y.; Chai, Y.P.; Lu, M.H.; Han, X.L.; Lin, Q.; Zhang, Y.; Zhang, Q.; Zhou, Y.; Wang, X.C.; 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] [PubMed]
  69. Mazumdar, S.; Quick, W.P.; Bandyopadhyay, A. CRISPR-Cas9 mediated genome editing in rice, advancements and future possibilities. Indian J. Plant Physiol. 2016, 21, 437–445. [Google Scholar] [CrossRef]
  70. Xing, H.-L.; Dong, L.; Wang, Z.-P.; Zhang, H.-Y.; Han, C.-Y.; Liu, B.; Wang, X.-C.; Chen, Q.-J. A CRISPR/Cas9 toolkit for multiplex genome editing in plants. BMC Plant Biol. 2014, 14, 327. [Google Scholar] [CrossRef] [PubMed]
  71. Khan, I.H.; Javaid, A.; Naqvi, S.F. Molecular characterization of Penicillium expansum isolated from grapes and its management by leaf extract of Chenopodium murale. Int. J. Phytopathol. 2021, 10, 29–35. [Google Scholar] [CrossRef]
  72. Peng, R.; Lin, G.; Li, J. Potential pitfalls of CRISPR/Cas9-mediated genome editing. FEBS J. 2015, 283, 1218–1231. [Google Scholar] [CrossRef]
  73. Xie, K.; Zhang, J.; Yang, Y. Genome-Wide Prediction of Highly Specific Guide RNA Spacers for CRISPR–Cas9-Mediated Genome Editing in Model Plants and Major Crops. Mol. Plant 2014, 7, 923–926. [Google Scholar] [CrossRef]
  74. Zhang, X.-H.; Tee, L.Y.; Wang, X.-G.; Huang, Q.-S.; Yang, S.-H. Off-target effects in CRISPR/Cas9-mediated genome engineering. Mol. Ther. Nucleic Acids 2015, 4, e264. [Google Scholar]
  75. Wagih, E.E.; Zalat, M.M.; Kawanna, M.A. Cytological, histological and molecular characterization of two isolates of Cucumber Mosaic Virus (CMV) in Egypt. Int. J. Phytopathol. 2021, 10, 9–18. [Google Scholar] [CrossRef]
  76. Smits, A.H.; Ziebell, F.; Joberty, G.; Zinn, N.; Mueller, W.F.; Clauder-Münster, S.; Eberhard, D.; Savitski, M.F.; Grandi, P.; Jakob, P.; et al. Biological plasticity rescues target activity in CRISPR knock outs. Nat. Methods 2019, 16, 1087–1093. [Google Scholar]
  77. Kannan, B.; Jung, J.H.; Moxley, G.W.; Lee, S.M.; Altpeter, F. TALEN-mediated targeted mutagenesis of more than 100 COMT copies/alleles in highly polyploid sugarcane improves saccharification efficiency without compromising biomass yield. Plant Biotechnol. J. 2018, 16, 856–866. [Google Scholar] [CrossRef]
  78. Mahfouz, M.M.; Li, L. TALE nucleases and next generation GM crops. GM Crop. 2011, 2, 99–103. [Google Scholar]
  79. Eid, A.; Mohan, C.; Sanchez, S.; Wang, D.; Altpeter, F. Multiallelic, Targeted Mutagenesis of Magnesium Chelatase with CRISPR/Cas9 Provides a Rapidly Scorable Phenotype in Highly Polyploid Sugarcane. Front. Genome Ed. 2021, 3, 654996. [Google Scholar]
  80. Oz, M.T.; Altpeter, A.; Karan, R.; Merotto, A.; Altpeter, F. CRISPR/Cas9-Mediated Multi-Allelic Gene Targeting in Sugarcane Confers Herbicide Tolerance. Front. Genome Ed. 2021, 3, 15. [Google Scholar]
  81. D’Hont, A.N.G.E.L.I.Q.U.E.; Glaszmann, J.C. Sugarcane genome analysis with molecular markers: A first decade of research. In International Society of Sugar Cane Technologists, Proceedings of the XXIV Congress, Brisbane, Australia, 17–21 September 2001; Australian Society of Sugar Cane Technologists: Brisbane, Australia, 2001; Volume 2, pp. 556–559. [Google Scholar]
  82. Mao, Y.; Zhang, H.; Xu, N.; Zhang, B.; Gou, F.; Zhu, J.K. Application of the CRISPR–Cas system for efficient genome engineering in plants. Mol. Plant 2013, 6, 2008–2011. [Google Scholar] [CrossRef]
  83. Mohan, C. Genome Editing in Sugarcane: Challenges Ahead. Front. Plant Sci. 2016, 7, 1542. [Google Scholar] [CrossRef] [PubMed]
  84. Hansom, S.; Bower, R.; Zhang, L.; Potier, B.; Elliott, A.; Basnayake, S.; Cordeiro, G.; Hogarth, D.M.; Cox, M.; Berding, N.; et al. Regulation of transgene expression in sugarcane. In Proceedings of the XXIII ISSCT Congress, New Delhi, India, 22–26 February 1999; Sugar Technologists’ Association of India: New Delhi, India, 1999; Volume 2, pp. 278–290. [Google Scholar]
  85. Creste, S.; Pinto, L.R.; Xavier, M.A.; Guimarães, M.; Landell, R. The importance of the germplasm in developing agro-energetic profile sugarcane cultivars. In Sugar Cane Bioethanol RD Product and Sustainability; Editora Edgard Blucher Ltda: São Paulo, Brazil, 2014; pp. 353–358. [Google Scholar] [CrossRef]
  86. Premachandran, M.N.; Prathima, P.T.; Lekshmi, M. Sugarcane and polyploidy: A review. J. Sugarcane Res. 2011, 1, 1–15. [Google Scholar]
  87. Huang, J.; Li, J.; Zhou, J.; Wang, L.; Yang, S.; Hurst, L.D.; Li, W.-H.; Tian, D. Identifying a large number of high-yield genes in rice by pedigree analysis, whole-genome sequencing, and CRISPR-Cas9 gene knockout. Proc. Natl. Acad. Sci. USA 2018, 115, E7559–E7567. [Google Scholar] [CrossRef] [PubMed]
  88. Meng, X.; Yu, H.; Zhang, Y.; Zhuang, F.; Song, X.; Gao, S.; Gao, C.; Li, J. Construction of a Genome-Wide Mutant Library in Rice Using CRISPR/Cas9. Mol. Plant 2017, 10, 1238–1241. [Google Scholar] [CrossRef] [PubMed]
  89. Riaño-Pachón, D.M.; Mattiello, L. Draft genome sequencing of the sugarcane hybrid SP80-3280. F1000Research 2017, 6, 861. [Google Scholar] [CrossRef]
  90. Joyce, P.; Kuwahata, M.; Turner, N.; Lakshmanan, P. Selection system and co-cultivation medium are important determinants of Agrobacterium-mediated transformation of sugarcane. Plant Cell Rep. 2009, 29, 173–183. [Google Scholar] [CrossRef]
  91. Lowe, K.; Wu, E.; Wang, N.; Hoerster, G.; Hastings, C.; Cho, M.-J.; Scelonge, C.; Lenderts, B.; Chamberlin, M.; Cushatt, J.; et al. Morphogenic Regulators Baby boom and Wuschel Improve Monocot Transformation. Plant Cell 2016, 28, 1998–2015. [Google Scholar] [CrossRef]
  92. Zfn, T. CRISPR/Cas-based methods for genome engineering. Tren. Biotechnol. 2013, 31, 397–405. [Google Scholar]
  93. 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]
  94. Lawrenson, T.; Shorinola, O.; Stacey, N.; Li, C.; Østergaard, L.; Patron, N.; Uauy, C.; Harwood, W. Induction of targeted, heritable mutations in barley and Brassica oleracea using RNA-guided Cas9 nuclease. Genome Biol. 2015, 16, 258. [Google Scholar] [CrossRef]
  95. Lowe, K.; La Rota, M.; Hoerster, G.; Hastings, C.; Wang, N.; Chamberlin, M.; Wu, E.; Jones, T.; Gordon-Kamm, W. Rapid genotype “independent” Zea mays L. (maize) transformation via direct somatic embryogenesis. In Vitro Cell. Dev. Biol.-Plant 2018, 54, 240–252. [Google Scholar] [CrossRef] [PubMed]
  96. Ran, F.A.; Hsu, P.D.; Lin, C.-Y.; Gootenberg, J.S.; Konermann, S.; Trevino, A.E.; Scott, D.A.; Inoue, A.; Matoba, S.; Zhang, Y.; et al. Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome Editing Specificity. Cell 2013, 154, 1380–1389. [Google Scholar] [PubMed]
  97. Gao, Y.; Zhao, Y. Self-processing of ribozyme-flanked RNAs into guide RNAs in vitro and in vivo for CRISPR-mediated genome editing. J. Integr. Plant Biol. 2014, 56, 343–349. [Google Scholar] [CrossRef] [PubMed]
  98. Sadam, M.; Qamar, M.T.; Ghulam, M.; Muhammad, S.K.; Faiz, A.J. Role of biotechnology in climate resilient agriculture. In Environment, Climate, Plant and Vegetation Growth; Springer: Cham, Switzerland, 2020; pp. 339–366. [Google Scholar]
  99. Rasheed, A.; Hassan, M.; Aamer, M.; Bian, J.; Xu, Z.; He, X.; Wu, Z. Iron toxicity, tolerance and quantitative trait loci mapping in rice; A review. Appl. Ecol. Environ. Res. 2020, 18, 7483–7498. [Google Scholar] [CrossRef]
  100. Negrotto, D.; Jolley, M.; Beer, S.; Wenck, A.R.; Hansen, G. The use of phosphomannose-isomerase as a selectable marker to recover transgenic maize plants (Zea mays L.) via Agrobacterium transformation. Plant Cell Rep. 2000, 19, 798–803. [Google Scholar] [CrossRef] [PubMed]
  101. Tao, Y.; Zhao, X.; Mace, E.; Henry, R.; Jordan, D. Exploring and Exploiting Pan-genomics for Crop Improvement. Mol. Plant 2019, 12, 156–169. [Google Scholar] [CrossRef] [Green Version]
  102. 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]
  103. Lu, H.-P.; Liu, S.-M.; Xu, S.-L.; Chen, W.-Y.; Zhou, X.; Tan, Y.-Y.; Huang, J.-Z.; Shu, Q.-Y. CRISPR-S: An active interference element for a rapid and inexpensive selection of genome-edited, transgene-free rice plants. Plant Biotechnol. J. 2017, 15, 1371–1373. [Google Scholar] [CrossRef]
  104. Zong, Y.; Wang, Y.; Li, C.; Zhang, R.; Chen, K.; Ran, Y.; Qiu, J.-L.; Wang, D.; Gao, C. Precise base editing in rice, wheat and maize with a Cas9-cytidine deaminase fusion. Nat. Biotechnol. 2017, 35, 438–440. [Google Scholar] [CrossRef]
  105. Li, J.; Zhang, H.; Si, X.; Tian, Y.; Chen, K.; Liu, J.; Chen, H.; Gao, C. Generation of thermosensitive male-sterile maize by targeted knockout of the ZmTMS5 gene. J. Genet. Genom. 2017, 44, 465–468. [Google Scholar]
  106. Yan, W.; Chen, D.; Kaufmann, K. Efficient multiplex mutagenesis by RNA-guided Cas9 and its use in the characterization of regulatory elements in the AGAMOUS gene. Plant Methods 2016, 12, 23. [Google Scholar] [CrossRef] [PubMed]
  107. Zong, Y.; Song, Q.; Li, C.; Jin, S.; Zhang, D.; Wang, Y.; Qiu, J.-L.; 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] [PubMed]
  108. Jung, J.H.; Altpeter, F. TALEN mediated targeted mutagenesis of the caffeic acid O-methyltransferase in highly polyploid sugarcane improves cell wall composition for production of bioethanol. Plant Mol. Biol. 2016, 92, 131–142. [Google Scholar] [CrossRef] [PubMed]
  109. Chen, Y.; Wang, Z.; Ni, H.; Xu, Y.; Chen, Q.; Jiang, L. CRISPR/Cas9-mediated base-editing system efficiently generates gain-of-function mutations in Arabidopsis. Sci. China Life Sci. 2017, 60, 520–523. [Google Scholar] [CrossRef] [PubMed]
  110. Li, F.; Huang, N.; Wang, L.; Ling, H.; Sun, T.; Ahmad, W.; Su, Y. A novel l-ascorbate peroxidase 6 gene, ScAPX6, plays an important role in the regulation of response to biotic and abiotic stresses in sugarcane. Front Plant Sci 2018, 8, 2262. [Google Scholar] [CrossRef] [PubMed]
  111. Miao, C.; Xiao, L.; Hua, K.; Zou, C.; Zhao, Y.; Bressan, R.A. Mutations in a subfamily of abscisic acid recepto genes promote rice growth and productivity. Proc. Natl. Acad. Sci. USA 2018, 115, 6058–6063. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. The basic genome editing techniques for developing new cultivars having desired traits.
Figure 1. The basic genome editing techniques for developing new cultivars having desired traits.
Sustainability 14 12285 g001
Figure 2. The basic steps of genome editing in plants using CRISPR/Cas9/sgRNA technology beginning with the selection of target genes.
Figure 2. The basic steps of genome editing in plants using CRISPR/Cas9/sgRNA technology beginning with the selection of target genes.
Sustainability 14 12285 g002
Figure 3. The CRISPR/Cas applications. (A) Using CRISPR/Cas, mutations can be introduced, which result in indels, gene deletions, and even multiple gene knockouts. (B) Gene insertion and replacement by homologous directed repair or no homologous end connections.
Figure 3. The CRISPR/Cas applications. (A) Using CRISPR/Cas, mutations can be introduced, which result in indels, gene deletions, and even multiple gene knockouts. (B) Gene insertion and replacement by homologous directed repair or no homologous end connections.
Sustainability 14 12285 g003
Figure 4. Various delivery technologies methods of CRISPR/Cas9 for plant genome editing.
Figure 4. Various delivery technologies methods of CRISPR/Cas9 for plant genome editing.
Sustainability 14 12285 g004
Table 1. Few prominent CRISPR/Cas9 online resources indicating fundamental information and application protocols.
Table 1. Few prominent CRISPR/Cas9 online resources indicating fundamental information and application protocols.
NameDescriptionSources
CRISPRseekTarget-specific guide RNA design toolhttp://bioconductor.org/packages/release/bioc/html/CRISPRseek.html (accessed on 14 August 2022)
DNA 2.0 gRNA Design ToolgRNA design toolhttps://dna20.com/eCommerce/cas9/input (accessed on 11 August 2022)
E-CRISPTarget site design toolhttp://e-crisp-test.dkfz.de/E-CRISP (accessed on 11 August 2022)
Stupar Lab’s CRISPR DesignTarget site identifierhttp://stuparcrispr.cfans.umn.edu/CRISPR/ (accessed on 21 July 2022)
sgRNA DesignerGuide RNA design toolhttp://crispor.tefor.net/ (accessed on 11 August 2022)
sgRNA DesignerGuide RNA design toolhttp://chopchop.cbu.uib.no/ (accessed on 14 August 2022)
CRISPR Multi TargeterMultiplex design toolhttp://multicrispr.net/ (accessed on 2 August 2022)
AddgeneReagents and resourceshttps://www.addgene.org/crispr (accessed on 14 August 2022)
Cas9 DesignGuide RNA design toolhttp://cas9.cbi.pku.edu.cn (accessed on 14 August 2022)
RGEN ToolsPotential off-target site prediction toolhttp://rgenome.net/cas-offinder (accessed on 14 August 2022)
gRNAcas9sgRNA design and potential off-target sites prediction toolhttp://biootools.com (accessed on 11 August 2022)
CRISPR Genome AnalyzerGenome editing experiment analysis platformhttp://crispr-ga.net (accessed on 12 August 2022)
CRISPR DesignDesign and analysis of guide RNAhttp://crispr.mit.edu (accessed on 13 August 2022)
CHOPCHOPTarget sites finding toolhttps://chopchop.rc.fas.harvard.edu (accessed on 14 August 2022)
CRISPR-PLANTGenome-wide gRNA prediction tool in plantshttp://genome.arizona.edu/crispr (accessed on 22 July 2022)
Table 2. Some of mutation efficiencies reported in CRISPR/Cas9 systems.
Table 2. Some of mutation efficiencies reported in CRISPR/Cas9 systems.
S.no.PlantGene TargetedDeliveryEditing FrequencyIndel FrequencyReferences
1ArabidopsisALSAgrobaterium mediated1.7%NR[102]
2RiceNRT1.1B, SLR1Agrobaterium mediated0–13.3%10%[103]
3MaizeCENH3Agrobaterium mediated10%NR[104]
4TomatoDELLA, ETR1Agrobaterium mediated41–92%16–69%[105]
5WheatDEP1, GW2Particle bombardment0.4–1.1%0%[106]
6Rice calliMPK6, MPK13, SERK2, WRKY45, Tms9-1Agrobaterium mediated0–62.26%0%[107]
7ArabidopsisFT, PDS3Agrobaterium mediated0–85%NR[108]
8Brassica napusALS, PDSProtoplast transformation8.8%<0.1%[108]
9RiceCDC48Agrobaterium mediated44–83%0%[109]
10PotatoGBSSProtoplast transformation6.5%0%[110]
Table 3. Genome editing in sugarcane for improvement of different traits.
Table 3. Genome editing in sugarcane for improvement of different traits.
S.no.Targeted GenesTechniqueImproved TraitsReferences
1COMTTALENImprovement of cell wall composition for bioethanol productionJung et al. [108]
2ScAPX6,ScNsLTPCRISPR/Cas9Methyl jasmonate (MeJA), abscisic acid (ABA) and drought toleranceChen et al. [109]
3PYL 1CRISPR/Cas9Water loggingMiao et al. [111]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Hussin, S.H.; Liu, X.; Li, C.; Diaby, M.; Jatoi, G.H.; Ahmed, R.; Imran, M.; Iqbal, M.A. An Updated Overview on Insights into Sugarcane Genome Editing via CRISPR/Cas9 for Sustainable Production. Sustainability 2022, 14, 12285. https://doi.org/10.3390/su141912285

AMA Style

Hussin SH, Liu X, Li C, Diaby M, Jatoi GH, Ahmed R, Imran M, Iqbal MA. An Updated Overview on Insights into Sugarcane Genome Editing via CRISPR/Cas9 for Sustainable Production. Sustainability. 2022; 14(19):12285. https://doi.org/10.3390/su141912285

Chicago/Turabian Style

Hussin, Shareif Hammad, Xinlong Liu, Chunjia Li, Mohamed Diaby, Ghulam Hussain Jatoi, Raees Ahmed, Muhammad Imran, and Muhammad Aamir Iqbal. 2022. "An Updated Overview on Insights into Sugarcane Genome Editing via CRISPR/Cas9 for Sustainable Production" Sustainability 14, no. 19: 12285. https://doi.org/10.3390/su141912285

APA Style

Hussin, S. H., Liu, X., Li, C., Diaby, M., Jatoi, G. H., Ahmed, R., Imran, M., & Iqbal, M. A. (2022). An Updated Overview on Insights into Sugarcane Genome Editing via CRISPR/Cas9 for Sustainable Production. Sustainability, 14(19), 12285. https://doi.org/10.3390/su141912285

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop