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Trees are essential components of most ecosystems that play significant roles in lowering the atmospheric level of CO2, protecting biodiversity, and providing food and materials for human consumption. Ever-increasing demands for forest products, as well as concerns about global warming due to elevated CO2 levels, have increased the need for more efficient improvement of tree varieties. In the past, researchers and breeders have employed traditional approaches, including hybrid breeding, mutagenesis, and polyploid breeding, to achieve a variety of trait improvements and gain a better understanding of gene function. Traditional breeding approaches require tremendous time, and mutation screening is dramatically hindered by tree species' long generation time and complex genome polyploidy and heterozygosity. The advent of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein (Cas) genome editing technology has significantly accelerated plant breeding and functional genomics with high speed and precision.
The CRISPR/Cas approach involves an adaptive phage immunity system from archaea and bacteria. This system relies on a single RNA called "single guide RNA" (sgRNA) to guide DNA–RNA recognition and binding for sequence-specific nucleic acid cleavage and can be readily programmed to introduce DNA double-strand breaks (DSBs) at any desired target site at minimal cost[1]. For more than two decades, CRISPR/Cas systems were of interest mainly to microbiologists who investigated the unique mechanisms underlying the CRISPR/Cas adaptive immunity systems of prokaryotes. The potential for CRISPR/Cas systems to serve as genome editing tools was initially recognized in 2012; thereafter, they began to be applied to mammals and were developed into crucial tools for research and clinical applications such as gene therapy[2,3]. CRISPR/Cas systems have also been widely used in plants. CRISPR/Cas was first applied to plants in 2013[4] and has subsequently been used in 45 plant genera from 24 different families, demonstrating the high efficiency, simplicity, and versatility of this system[5]. Various Cas9 variant proteins such as Cas12a (Cpf1), Cas13, and Cas14, as well as nuclease-deactivated Cas proteins (dCas9 or dCas12) fused with a base editor, prime editor, or other epigenomic modifier proteins, have been developed to enhance the versatility of CRISPR toolkits in mammals and plants[3,6−8]. Moreover, the requirement for a protospacer adjacent motif (PAM), which is a natural constraint on the flexibility of CRISPR toolkits, has recently been overcome. PAM-free nucleases such as SpRY have been generated through natural ortholog mining and protein engineering, enabling the targeting of virtually any site in genomic DNA[9].
The application of CRISPR/Cas for gene function studies and trait improvement has been comparatively slow in tree species. In 2014, tree genome editing by the Cas9/sgRNA system was first reported in a citrus genome[10], in which rapid and precise mutation of target genes was demonstrated within a short period (4 days) at a low efficiency (3.2%–3.9%). Significant effort has been made to improve the efficiency and stability of targeted mutagenesis in various tree species, such as apple[11−13], bamboo[14,15], Cannabaceae[16], cassava[17−19], citrus[10,20−25], cacao tree[26], coffee tree[27], grapevine[12,28−31], kiwifruit[32,33], pear[11], pomegranate[34], poplar[35−53], ratanjoyt[54], and rubber tree[55]. These efforts have not only contributed to the establishment of CRISPR/Cas based-genome editing systems in trees[10−14,17,23−25,27−30,32,35,37,43,48,53,55] but also promoted functional studies on tree trait genes that are crucial for tree breeding. Table 1 shows recent applications of CRISPR/Cas toolkits to tree genome editing. These practices all involve the sequential procedures of target gene selection, sgRNA design, and nuclease/sgRNA DNA vector construction or ribonucleoprotein preparation. These initial steps are followed by transformation, regeneration, screening of transformants, and mutation detection. Most practices have used the Cas9 nuclease, but there have been a few reported uses of the Cas12a nuclease[23,53]. Agrobacterium-mediated stable transformation has been the dominant transformation protocol, but despite its high efficiency, it is impractical owing to the current GMO (genetically modified organism) regulations in application. Transient transformation protocols such as the delivery of ribonucleo-protein (RNP) complexes can achieve transgene-free (non-GMO) genome editing and are therefore preferred. However, these approaches have much lower efficiency[12,55], limiting their wide application. Overall, significant progress will be required to increase the utility of the CRISPR/Cas system in tree species. In this review, we summarize current progress in CRISPR/Cas-based tree genome editing and discuss limitations that affect the efficiency of this system, as well as future prospects.
Table 1. Application of the CRISPR/Cas system to tree genome editing.
Tree species sgRNA design
toolCas delivery enhancer Promoter
(sgRNA)Promoter
(Cas)Multiplex targeting Transformation protocol/explant Regeneration protocol/time Mutagenesis efficiency; mutation; mutants Potential off-targets (Number; activity) Reference Actinidia chinensis
cv. HongyangCas-Designer NLS AtU6 35S PTG Agrobacterium/
leaf discCI-S; — 7.14%–91.67%; indel; biallelic, chimeric 4; N [32] A. chinensis
cv. Hort16AGeneious NLS AtU3, AtU6 Ubi, 35S PTG Agrobacterium/
leaf stripCI-S-R; — 30%–75%; indel; biallelic, heterozygous — [33] Bambusa oldhamii — NLS OsU3 2× 35S — PEG (DNA)/protoplast CI-S; 3 mon 12.5% (5/40); del&subs; — — [14] Citrus sinensis cv. Valencia — NLS 35S 35S — Agroinfiltration/leaf — 3.2%–3.9%; del; — 46; N [10] C. sinensis Osbeck — — AtU6 35S — Agrobacterium/epicotyl S-G; — 34.5% (38/110); del; biallelic, homozygous, heterozygous 11; 1-bp point mutations (5–10%) [20] C. paradisi — NLS 35S 35S — Agrobacterium/epicotyl S-G; — —; indel; — 85; N [21] 35S — Agrobacterium/leaf & epicotyl S-G; — 23.8%–89.36%; indel; — 7; N [22] Yao, 35S — Agrobacterium/epicotyl S-G; — 42.8% (3/7); del; — 0 [23] Dendrocalamus latiflorus Munro — — OsU6 Ubi — PEG (DNA)/protoplast CI-S-R; — 83.3%–100%; indel; homozygous, biallelic, heterozygous, chimeric — [15] Hevea brasiliensis — — — — — PEG (RNP)/protoplast — 3.74%–20.11%; indel; — — [55] Malus × domestica Bork. CRISPOR NLS MdU3, MdU6 PcUbi4-2 Gateway cloning Agrobacterium/young leaves B; 6 mon 90% (27/30); indel&subs; biallelic chimeric 4; N [11] Malus prunifolia cv. Golden Delicious CRISPR RGEN NLS — — — PEG (RNP)/protoplast — 6.9%; indel; — — [12] M. prunifolia Borkh. 'Seishi'× M. — NLS AtU6 2× 35S — Agrobacterium/leaf disc S-R; 8 mon 10.9% (18/164); indel; homozygous, heterozygous, chimeric 0 [13] Coffea canephora
clone 197— NLS AtU6 35S Restriction enzyme ligation Agrobacterium/
embryonic calliSE; 18 mon 30.4% (28/92); indel; homozygous, heterozygous 0 [27] Manihot esculenta cv. 60444; cv. TME 204 CRISPR-P NLS AtU6 35S — Agrobacterium/
embryonic calliSE; — 19.1%–46.6%; indel&subs; homozygous, biallelic, heterozygous — [17] M. esculenta
cv. 60444CRISPR-P — AtU6 2× 35S Gibson assembly Agrobacterium/
embryonic calliSE; — 91%; indel; homozygous, biallelic, heterozygous, chimeric 5; single mutation for one off-target was detected [18] Jatropha curcas CRISPR-P NLS AtU3 35S — Agrobacterium/cotyledon CI-S; 4 mon —; indel; homozygous — [54] Parasponia
andersoniiGPP sgRNA designer NLS AtU6 35S — Agrobacterium/
stem, petioleCI-S-R; 4 mon 37.9%–88.9%; indel; biallelic, heterozygous — [16] Poncirus. trifoliata L. Raf. × C. sinensis L.
Osb— NLS AtU6 Yao — Agrobacterium/epicotyl S; 4 mon 85% (17/20); indel&subs; homozygous, monoallelic heterozygous 2; N [24] 35S, AtU6 35S — Agrobacterium/epicotyl S-G; — 15.55%–79.67%; indel; homozygous 3; N [25] Populus alba ZiFiT NLS AtU3, AtU6 35S Golden Gate cloning Agrobacterium/young leaves CI-S-R; 3 mon 89%; del; — — [35] 84K poplar (P. alba ×
P. glandulosa)CRISPR-P 2.0 NLS AtU6 PcUbi4-2 — Agrobacterium/leaf disc — —; indel; — — [36] — NLS AtU6 2× 35S — Agrobacterium/leaf disc CI-S-R; — 6.7%–70%; del; biallelic, homozygous, heterozygous — [53] Populus tomentosa Carr. clone 741 — NLS AtU3, AtU6 35S Golden Gate cloning Agrobacterium/leaf disc CI-S-R; 3 mon 51.7% (30/59); indel&invers; biallelic homozygous, heterozygous — [37] — Golden Gate cloning Agrobacterium/leaf disc CI-S-R; — 93.33%–100%; indel; — — [38] 35S Golden Gate cloning Agrobacterium/leaf disc CI-S-R; — 48% (12/25); indel; — — [39] 35S Golden Gate cloning Agrobacterium/leaf disc CI-S-R; — —; indel; — — [40] 35S — Agrobacterium/leaf disc CI-S-R; — —; indel; — — [41] 35S Golden Gate cloning Agrobacterium/leaf disc CI-S-R; — —; indel; — — [42] Populus tremula × P. alba clone 717 ZiFiT NLS AtU6 2× 35S Restriction enzyme ligation Agrobacterium/leaf, petiole, stem CI-S-R; 18 wk 81.8% (479/585); indel&subs&invers; homozygous, biallelic, heterozygous, chimeric 5; N [43] Geneious NLS MtU6 2× 35S — Agrobacterium/
leaf, stemCI-S-R; — 100%; indel; biallelic — [44] Geneious NLS AtU6 PcUbi4-2 — Agrobacterium/leaf disc CI-S-R; 4–8 mon —; indel; — — [45] Populus tremula × P. alba INRA clone 717-1B4 — — MtU6 35S — Agrobacterium/ — CI; — — — [46] Geneious NLS MtU6 2× 35S — Agrobacterium/
hairy rootHR; — 40%; indel; — 5; N [47] CRISPR-P 2.0 NLS AtU6 Atact2 Golden Gate MoClo system assembly Agrobacterium/leaf HR; — 87.5% (14/16); indel; homozygous, biallelic, heterozygous — [48] Populus tremula × tremuloides clone 353 ZiFiT NLS AtU6 2× 35S Restriction enzyme ligation Agrobacterium/leaf, petiole, stem CI-S-R; 18 wk 88.8% (88/99); indel&subs&invers; homozygous, biallelic, heterozygous, chimeric 5; N [43] Populus tremula × tremuloides clone T89 CRISPR-P 2.0 NLS — 35S Golden Gate cloning Agrobacterium/ — — — — [49] Populus trichocarpa Nisqually-1 CRISPR-P 2.0 3x NLS AtU6 2× 35S, PUbi4 Golden Gate cloning Agrobacterium/leaf disc CI-S; — —; indel; — — [50] — — AtU6 2× 35S — Agrobacterium/stem S-R; 17 wk —; indel; — — [51] CRISPRdirect — AtU6 2× 35S Golden Gate cloning Agrobacterium/stem S-R; 14 wk 75%–100%; indel; homozygous, biallelic, heterozygous, chimeric 8; N [52] Punica granatum L. Cas-Designer NLS AtU6 AtUbi Restriction enzyme ligation Agrobacterium/
hairy rootHR; — —; indel&subs; homozygous, biallelic, chimeric — [34] Pyrus communis L. cv. Conference CRISPOR NLS MdU3, MdU6 PcUbi4-2 Gateway cloning Agrobacterium/young leaves B; 7 mon 9% (5/54); indel&subs; biallelic chimerism 4; N [11] Theobroma cacao Geneious — AtU6 35S Golden Gate cloning Agrobacterium/leaf, primary SE cotyledon SE; — 27%; indel; — 9; 0.29–1.9% (off-target rate) [26] Vitis vinifera L. cv. Chardonnay CRISPR-P NLS AtU6 35S Golden Gate cloning Agrobacterium/callus S; — 100% (3/3); indel; heterozygous, chimeric 4; N [28] CRISPR RGEN NLS — — — PEG (RNP)/protoplast — 0.1%; indel; — — [12] V. vinifera cv. Thompson CRISPR-P, CRISPR RGEN NLS AtU3, AtU6 2× 35S Golden Gate cloning Agrobacterium/
embryonic callusSE; 12 mon 31% (22/72); large del; biallelic, monoallelic 6; N [29] V. vinifera L. cv. Neo Muscat — NLS AtU6 PcUbi — Agrobacterium/
embryonic callusCI-SE; 19–21 mon 2.7%–72.2%; indel; biallelic 3; N [30] V. vinifera cv. Chasselas × V. berlandieri CRISPR-P — AtU6 35S — Agrobacterium/
embryonic cellSE; — 66.6% (4/6); indel; biallelic, heterozygous, chimeric 2; N [31] Abbreviations: NLS, nuclear localization signal; AtU3/AtU6, Arabidopsis promoters for small nuclear RNA transcription; MtU3/MtU6, Medicago truncatula U3/6 promoters; MdU3/MdU6, Malus domestica U3/6 promoters; Cas, Cas nucleases; 35S, cauliflower mosaic virus (CaMV) 35S promoter; Ubi, ubiquitin promoter; PcUbi, Petroselinum crispum ubiquitin promoter; PTG, Polycistronic tRNA process system; GFP, green fluorescent protein; Agrobacterium, Agrobacterium-mediated T-DNA transfer; PEG (DNA), Polyethylene glycol–mediated DNA transfection; PEG (RNP), Polyethylene glycol–mediated ribonucleoprotein transfection; mon, month; wk, week; B, budding; CI, callus induction; S, shooting; R, rooting; G, grafting; SE, somatic embryogenesis; indel, insertion and deletion mutations; del, deletion mutation; subs, substitution mutation; invers, sequence inversion mutation; N, no activity detected; —, not mentioned. -
The CRISPR/Cas system has been used for targeted genome editing of trees since 2014. Despite natural barriers, including large genome sizes, high polyploidy and heterozygosity, and abundant SNPs, rapidly developing tree genome data and sgRNA design tools have enabled successful targeted genome editing in several tree species. Over the last seven years, the CRISPR/Cas system has been successfully applied to many tree species, including apple, bamboo, Cannabaceae, cassava, citrus, cacao tree, coffee tree, grapevine, kiwifruit, pear, pomegranate, poplar, ratanjoyt, and rubber tree. CRISPR/Cas-based mutagenesis at desired target loci has been demonstrated in these species, contributing to the further development of genome editing in trees and enabling the identification of genes associated with tree growth, secondary metabolism, and resistance to biotic and abiotic stress. However, genome editing still has several limitations, and most practices have relied on high-efficiency Agrobacterium-mediated stable transformation, which is not favorable in the current regulatory environment. Transient transformation protocols, such as the delivery of RNP complexes, can achieve transgene-free (non-GMO) genome editing and are preferred. However, the efficiency of such systems is currently very low, limiting their widespread application[12,55].
Low transformation efficiency is the main factor limiting the application of transient CRISPR/Cas systems for genome editing in trees. Lack of knowledge about the intracellular stability and nucleocytoplasmic delivery of CRISPR/Cas reagents (plasmid DNA or RNP) hampers efforts made to improve this system. In addition, low regeneration efficiency results in a significant waste of time, effort, and reagents, creating further challenges for CRISPR/Cas-based genome editing in trees. Several innovations have emerged to promote efficient regeneration of genome-edited seeds or plantlets with or without the need for tissue culture. Although these approaches have not yet been applied to tree species, they represent new avenues for improving the efficiency and simplicity of tree genome editing. In addition, the DSBs created by Cas9 cleavage are known to result in the activation of different repair pathways that generate different outcomes. Machine learning models are now being used for effective prediction of mutagenesis outcomes, but they still require the input of large amounts of empirical data, which are currently unavailable for trees.
CRISPR/Cas genome editing practices in trees have thus far relied mainly on the classical wild-type Cas9 nuclease. Other wild-type Cas nucleases such as Cas12a (Cpf1), Cas13, and Cas14 and dCas nucleases tethered to various effectors, including transcriptional regulators and epigenetic modifiers, are newly emerging CRISPR/Cas toolkits that can be used for a broad range of applications beyond basic genome editing, including CRISPRi, CRISPRa, and epigenome editing. dCas nucleases tethered to base editors or prime editors can also be harnessed to improve the precision of genome editing practices, an approach that shows great potential for the generation of tree SNP models.
CRISRP/Cas system-based tree genome editing is still evolving and requires innovations in conventional transformation and regeneration protocols, as well as machine learning model-based simulation of mutagenesis to achieve more efficient and rapid outcomes. In planta transformation and tissue culture–free or modified tissue culture protocols, which have been developed recently, show great potential to improve the efficiency of CRISPR/Cas toolkits. Together with these novel strategies for transformation and regeneration, newly emerging CRISPR/Cas toolkits show great versatility, and their application to trees will expedite tree breeding and trait improvement.
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Pak S, Li C. 2022. Progress and challenges in applying CRISPR/Cas techniques to the genome editing of trees. Forestry Research 2:6 doi: 10.48130/FR-2022-0006
Progress and challenges in applying CRISPR/Cas techniques to the genome editing of trees
- Received: 04 February 2022
- Accepted: 27 April 2022
- Published online: 11 May 2022
Abstract: With the advent of the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein (Cas) system, plant genome editing has entered a new era of robust and precise editing for any genes of interest. The development of various CRISPR/Cas toolkits has enabled new genome editing outcomes that not only target indel mutations but also enable base editing and prime editing. The application of the CRISPR/Cas toolkits has rapidly advanced breeding and crop improvement of economically important species. CRISPR/Cas toolkits have also been applied to a wide variety of tree species, including apple, bamboo, Cannabaceae, cassava, citrus, cacao tree, coffee tree, grapevine, kiwifruit, pear, pomegranate, poplar, ratanjoyt, and rubber tree. The application of editing to these species has resulted in significant discoveries related to critical genes associated with growth, secondary metabolism, and stress and disease resistance. However, most studies on tree species have involved only preliminary optimization of editing techniques, and a more in-depth study of editing techniques for CRISPR/Cas-based editing of tree species has the potential to rapidly accelerate tree breeding and trait improvements. Moreover, tree genome editing still relies mostly on Cas9-based indel mutation and Agrobacterium-mediated stable transformation. Transient transformation for transgene-free genome editing is preferred, but it typically has very low efficiency in tree species, substantially limiting its potential utility. In this work, we summarize the current status of tree genome editing practices using the CRISPR/Cas system and discuss limitations that impede the efficient application of CRISPR/Cas toolkits for tree genome editing, as well as future prospects.