Skip to main content
BMC Plant Biology logoLink to BMC Plant Biology
. 2018 Aug 29;18:174. doi: 10.1186/s12870-018-1387-1

Engineering plant architecture via CRISPR/Cas9-mediated alteration of strigolactone biosynthesis

Haroon Butt 1,#, Muhammad Jamil 2,#, Jian You Wang 2, Salim Al-Babili 2,, Magdy Mahfouz 1,
PMCID: PMC6116466  PMID: 30157762

Abstract

Background

Precision plant genome engineering holds much promise for targeted improvement of crop traits via unprecedented single-base level control over the genetic material. Strigolactones (SLs) are a key determinant of plant architecture, known for their role in inhibiting shoot branching (tillering).

Results

We used CRISPR/Cas9 in rice (Oryza sativa) for targeted disruption of CAROTENOID CLEAVAGE DIOXYGENASE 7 (CCD7), which controls a key step in SL biosynthesis. The ccd7 mutants exhibited a striking increase in tillering, combined with a reduced height, which could be rescued by application of the synthetic SL analog GR24. Striga germination assays and liquid chromatography–mass spectrometry analysis showed that root exudates of ccd7 mutants were also SL deficient.

Conclusions

Taken together, our results show the potential and feasibility of the use of the CRISPR/Cas9 system for targeted engineering of plant architecture and for elucidating the molecular underpinnings of architecture-related traits.

Electronic supplementary material

The online version of this article (10.1186/s12870-018-1387-1) contains supplementary material, which is available to authorized users.

Keywords: Genome editing, CRISPR/Cas9, Strigolactones, Plant architecture, Carotenoids, Carotenoid cleavage dioxygenases, CCD7, Crop improvement, Rice engineering

Background

Technologies that facilitate efficient, robust, and precise engineering of the plant genome can be used for targeted improvement of crop traits, and will pave the way for increasing plant yield and improving food security [35]. Plant architecture is dynamically regulated by developmental and environmental factors, and has key effects on yield. For example, in the Green Revolution, random mutagenesis and harnessing of natural variants of key architecture genes in grain crops yielded varieties with shorter heights, resulting in significant improvement of crop productivity [40].

Genome engineering requires molecular scissors capable of making precise double strand breaks (DSBs) in the genome [41, 49]. Such DSBs are repaired by either the imprecise non-homologous end joining (NHEJ) repair or the precise homology directed repair (HDR) pathways [14, 45, 49]. Harnessing the cellular repair pathways of the DSBs, a variety of user-desired genetic outcomes can be generated. Different platforms of site-specific nucleases (SSNs) have been used to engineer the eukaryotic genomes including homing endonucleases, zinc finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs) [30]. A novel class of SSNs, clustered regularly interspaced palindromic repeats (CRISPR)/CRISPR associated (Cas) 9 system is profoundly revolutionizing our ability to engineer the plant genome [14, 18, 19, 26, 38, 41]. Recently, different CRISPR/Cas systems have been harnessed to edit and determine RNA levels, and for other RNA manipulations [5, 6, 34].

Strigolactones are a novel class of plant hormones that play an essential role in establishing plant architecture, determining the number of shoot branches/tillers and regulating the growth of primary and lateral roots [3, 21, 28, 48, 50]. SLs also participate in biotic and abiotic stress responses [17, 23, 46]. Furthermore, plant roots release SLs into the rhizosphere to trigger hyphal branching in mycorrhizal fungi for establishment of the beneficial arbuscular mycorrhizal symbiosis used by around 80% of land plants to improve nutrient uptake [9, 22]. However, seeds of root-parasitic weeds of the genus Striga perceive SLs as a germination signal ensuring the presence of a nearby host [53]. Infestation by Striga hermonthica and related parasitic plants causes enormous yield losses in many crops, such as cereals and different Solanaceae species, representing a severe problem for agriculture in sub-Saharan Africa, Southern Europe, the Middle East and Asia [37].

Analysis of SL-deficient and SL-perception mutants paved the way for the elucidation of the major steps in SL biosynthesis and signaling [3, 28, 51]. For example, the increased branching/tillering phenotype of carotenoid cleavage dioxygenase 7 (ccd7) and ccd8 mutants from Arabidopsis thaliana, pea (Pisum sativum), petunia (Petunia hybrida), and rice suggested the role of these enzymes in the biosynthesis of a shoot branching inhibitor that was later identified as SL [3, 39]. SLs are carotenoid-derivatives synthesized from all-trans-β-carotene via a pathway involving the all-trans/9-cis-β-carotene isomerase (DWARF27 in rice) that forms 9-cis-β-carotene (Fig. 1a) [4, 11]. In the next step, the stereospecific enzyme CCD7 cleaves 9-cis-β-carotene into the volatile β-ionone and 9-cis-β-apo-10′-carotenal [4, 12]. This cis-configured intermediate is the substrate of CCD8 that catalyzes a combination of reactions, including repeated deoxygenation and intramolecular rearrangements, which yield carlactone and a C8-product (ω-OH-(4-CH3) heptanal) (Fig. 1a) [4, 13]. Very recently, CCD8 enzymes have been also shown to produce 3-hydroxy-carlactone from accordingly hydroxylated, 9-cis-configured precursor [8]. Carlactone is the precursor of canonical and non-canonical SLs [28]. In Arabidopsis, carlactone is converted by a cytochrome P450 of the 711 clade (MAX1) into carlactonoic acid, followed by methylation by an unknown enzyme and hydroxylation by lateral branching oxidoreductase (LBO) into a yet unidentified SL [1, 10]. Rice MAX1 homologs convert carlactone into the known SLs 4-deoxyorobanchol and orobanchol, likely via carlactonoic acid [27, 57].

Fig. 1.

Fig. 1

OsCCD7 mutagenesis produced high-tillering and reduced height phenotypes: a Schematic of the strigolactone biosynthesis pathway showing branching/tillering inhibition activity. Carotenoid Cleavage Dioxygenase 7 (CCD7) catalyzes 9′-cis-β-carotene at the initial steps of SL biosynthesis. b Gene model of OsCCD7/ D17 (Dwarf 17)/ HTD1 (High-Tillering Dwarf1), also called MAX3 ortholog (LOC_Os04g46470). Two gRNA were used to target the OsCCD7 locus. gRNA-1 was designed to target the 1st exon to produce a mutation similar to d17. The nomenclature used for these mutant lines is dl (d17-like). Two T0 lines were produced, dl1 and dl2. gRNA-2 was designed to target the 7th exon. The mutant lines produced were similar to htd1 and these lines were named as hl (htd1-like). Seven independent lines were produced, hl1 to hl7. The underlined GGG represents PAM sequence. c and d High-tillering and lower plant height phenotypes were observed for mutant plants. Tillering and plant height per plant were recorded from four plants per line (n = 4). All of the genotypes showed significant increases in tillers per plant and decreased plant height compared to control. e T1 generation of mutants were genotyped and mono-allelic lines were identified. Each of these mutations produced a protein variant. The nucleotide indels and protein alignments are shown in Additional file 1: Figure S2 and S3 respectively. f Analysis of the T2 generation showed some of the mutant lines do not carry a T-DNA. T-DNA-specific PCR analysis indicated that dl1, hl1, hl3, hl4, hl5 and hl7 are non-transgenic mutated plants. Actin PCR was done as a control

The first step in SL signal transduction is the binding of SL to the receptor, DWARF14 (D14) in rice, an α/β-hydrolase that hydrolyzes SL ligands and forms a covalent bond with one of the two hydrolysis products (D-Ring) [16, 24, 55]. These steps are accompanied by a conformational change that enables the interaction with an F-box protein (MAX2 in Arabidopsis; D3 in rice), which is a constituent of an SKP1-CUL1-F-box-protein (SCF)-type ubiquitin ligase complex, initiating the 26S proteasomal degradation of target transcription repressors [29, 44, 50, 58].

Targeted mutation of key enzymes in SL biosynthesis or perception can be used to engineer plant architecture in ways that improve yield. Moreover, in contrast to traditional, time-consuming approaches involving breeding natural alleles into elite varieties, genome editing provides a targeted, precise and rapid method to improve key plant traits in agronomically relevant, locally adapted varieties. OsCCD7 catalyzes a key step in SL biosynthesis, and an OsCCD7 point mutation (C-T) in the Nanjing 6 background, htd1 (high-tillering and dwarf 1), causes a dwarf phenotype and production of a high number of tillers [56, 59]. This indicates the possibility of manipulating plant height and tillering, key agronomic traits, by genome editing of OsCCD7. In this work, we report the engineering of SL biosynthesis by CRISPR/Cas9-mediated mutation of OsCCD7. Our data provide a proof-of-principle for translational application of knowledge on SL biosynthesis for improvement of plant architecture.

Methods

Plant materials and vector construction

Oryza sativa L. ssp. japonica cv Nipponbare was used for all experiments. The pRGEB32 vector was used for callus transformations [14]. The expression of Cas9 was driven by OsUbiquitin promotor, and the gRNA was expressed as a polycistronic tRNA-gRNA under the OsU3 promoter. The OsCCD7 (LOC_Os04g46470) was used as a target locus. Two gRNAs were designed and transformed independently. gRNA-1 was designed to target the genomic sequence 289 to 308 bp (5′- ACCTACTACCTCGCCGGGCCGGG-3′); the underlined GGG represents the PAM sequence. gRNA-2 was designed to target the genomic sequence 2416 to 2435 bp (5′- AAGAACCTCACTTTTCCAATGGG-3′); the underlined GGG represents the PAM sequence. The potential off-targets were predicted using Cas-OFFinder [7] and no –off-targets were found for these sgRNAs. The void pRGEB32 vector lacking gRNA was transformed into Nipponbare and used as control. The high-tillering/dwarf d3–1 and d17–1 mutants, in Shiokari background (Ishikawa et al. 2005), were used for comparison.

Rice transformation and mutant screening

Agrobacterium-mediated rice transformation was performed as described previously [14]. Transgenic rice plants were grown in a greenhouse at 28 °C. After 1 week when plants were established on soil, DNA was extracted from leaf samples. PCR was done using gene-specific primers. Purified PCR products were cloned using the CloneJET PCR Cloning Kit (K1231). Sanger sequencing was done for at least 10 colonies, to analyze the mutation.

Rice tillering bioassays

Rice seeds were surface-sterilized with 2.5% sodium hypochlorite for 10 min. The seeds were then washed thoroughly with sterile MilliQ water and imbibed in water for 2 days at 30 °C in the dark. The pre-germinated seeds were shifted to 90-mm Petri dishes on a filter paper moistened with 5 ml ½-strength Murashige and Skoog medium [36]. The sealed plates were kept at 30 °C for one more night to develop small seedlings. The plates with small seedlings were kept under fluorescent white light (130–180 μM m− 2 s− 1) for 7 days. One-week-old uniform seedlings were selected to grow in a microfuge tube, fixed on top of 50-ml tubes (one seedling per tube, with five replications) filled with half-strength modified Hoagland nutrient solution [25]. After 1 week, the rice plants were supplemented with GR24 at 2.5 μM. The GR24 was added six times, twice a week. Number of tillers per plant and plant height of all lines including control, d3, and d17 were measured at final harvest.

Quantitation of SLs from rice root exudates

One week old rice seedlings were established as described above and grown hydroponically in a growth cabinet with half-strength modified Hoagland nutrient solution under normal phosphorus (Pi) supply for 1 week. Then, rice seedlings were kept in a Pi-deficient nutrient solution for another week. On the day of root exudate collection, rice seedlings were first refreshed with Pi-deficient Hoagland nutrient solution for 6 h, and root exudates were then collected from each tube. SLs were then extracted from root exudates for LC/MS-MS analysis and Striga bioassays. For this purpose, SPE C18 columns (Grace Pure) was pre-conditioned by solvation (6 ml of methanol) and equilibration (6 ml of water). After adding the internal standard D6–5-Deoxystrigol (0.672 ng per 50 ml root exudate), root exudates were run through the preconditioned SPE C18 column. After washing with 6 ml of water, SLs were eluted with 5 ml of acetone. The SL fraction (acetone-water solution) was concentrated to SL aqueous solution (∼1 ml), followed by extraction with 1 ml of ethyl acetate. Then 750 μl of SL-enriched organic phase was transferred to a 1.5-ml tube and evaporated to dryness. The sample was re-dissolved in 100 μl of acetonitrile:water (25:75, v:v) and filtered through a 0.22-μm filter for LC-MS/MS analysis. SLs were analyzed using HPLC-Q-Trap-MS/MS with MRM mode. Chromatographic separation was achieved on an Acquity UPLC BEH C18 column (50 × 2.1 mm; 1.7 μm; Waters). Mobile phases consisted of water:acetonitrile (95:5, v:v) and acetonitrile, both containing 0.1% formic acid.

Striga hermonthica bioassays

The Striga hermonthica seed germination bioassay was conducted as described previously (Jamil et al., 2012). The Striga seeds were preconditioned for 10 days at 30 °C under moist conditions. The pre-conditioned Striga seeds were supplied with 50 μl acetone-free SL extract collected from the root exudates for each mutant line as described above. Wild type and the d17 mutant were included as positive and negative controls, respectively. After SL application, Striga seeds were incubated at 30 °C in the dark for 2 days. Germinated (seeds with radicle) and non-germinated seeds were counted under a binocular microscope to calculate germination rate (%).

Results

Targeted engineering of CCD7 mutants in rice via CRISPR/Cas9

We used CRISPR/Cas9 for targeted mutagenesis of OsCCD7 to generate variants for translational research and to enhance our understanding of the diverse functions of this protein. The OsCCD7 gene (LOC_Os04g46470) has 7 exons encoding a protein of 609 amino acids (Fig. 1b), which mediates a key step in SL biosynthesis (Fig. 1a). For targeted mutagenesis of OsCCD7, we engineered two sgRNAs, sgRNA-1 targeting the 1st exon and sgRNA-2 targeting 7th exon (Fig. 1b).

After regeneration of T0 plants from the calli, we examined the resulting plants for mutations in OsCCD7. We recovered 22 T0 transgenic plants corresponding to sgRNA-1 and 17 T0 transgenic plants corresponding to sgRNA-2 and genotyped these plants by PCR amplifying the region encompassing the target site of the sgRNAs. PCR amplicons were cloned and sequenced. For sgRNA-1, 8/22 plants showed bi-allelic mutations of the target site with formation of insertion/deletion mutations (indels) including deletions of 1–27 bp. Similarly, for sgRNA-2, all of the plants were bi-allelic with indels. Some plants, however, exhibited only monoallelic mutations. These data show the high efficiency of targeted mutagenesis for CCD7 by gRNAs targeting the 1st and 7th exons. We used the nomenclature d17-like (dl) for mutants produced by sgRNA-1. Two mono-allelic mutants, dl1 and dl2 with one- and two-bp deletions, respectively, were used for further studies (Additional file 1: Figure S1A). For sgRNA-2 mutants, we used the nomenclature htd1-like (hl). Seven bi-allelic mutants hl1hl7 were used for further studies (Additional file 1: Figure S1A).

The ccd7 mutants exhibit increased tillering and reduced height phenotypes

Our genotyping data revealed the presence of several ccd7 mutants resulting in complete or partial functional knockout phenotypes. Phenotyping the T0 plants can accelerate functional analysis, but the presence of two alleles can complicate interpretation. To examine this, we phenotyped the T0 plants for the number of tillers and plant height (Additional file 1: Figure S1B and C). Our data indicate that the mutants produced increased numbers of tillers and reduced plant height, reminiscent of the ccd7 mutants isolated by conventional methods in other plant species (Additional file 1: Figure S1B and C). hl2 and hl5 showed the highest numbers of tillers per plant, while dl2 and hl1 exhibited the maximum reduction in plant height among all mutants (Additional file 1: Figure S1C). However, hl4 showed high tillering accompanied with less reduced height, (Additional file 1: Figure S1C).

Most of the hl mutations observed were bi-allelic in the T0 generation. To analyze and correlate the phenotypes with a particular protein variant, T1 plants were genotyped by sequencing. Mono-allelic, homozygous mutant plants were identified and used for further studies. All of the mutant lines, including hl4, showed pronounced high tillering and reduced plant height (Fig. 1c, d). Among these mutant lines, dl1 and hl6 showed the highest number of tillers per plant (Fig. 1d). Each of the mutant lines harbors a particular mutation that leads to a CCD7 protein variant (Fig. 1e, Additional file 1: Figure S2). These protein variants produce variation in tillering and plant height (Fig. 1d).

One advantage of CRISPR/Cas9 mutagenesis is that the mutation can be segregated away from the T-DNA expression construct used to produce Cas9 and the gRNA. To analyze whether these lines harbor a T-DNA, we examined the T2 generation of these mutants. We found some of the plants have no T-DNA but do have mutations in CCD7 (Fig. 1f). This further showed that non-transgenic mutated plants of agricultural importance can be produced.

ccd7 mutants exhibit impaired SL biosynthesis

To further show that the ccd7 mutant phenotype results from defects in SL biosynthesis, we tested whether treatment of the ccd7 mutants with the synthetic SL analogue GR24 could restore their phenotypes to wild type. Progeny seeds were germinated on filter paper in Petri dishes and one-week-old seedlings were grown in 50-ml tubes for another week. The synthetic SL analogue GR24 was applied at 2.5 μM concentration for 3 weeks, then tiller numbers were counted. Application of GR24 to the ccd7 mutants decreased tiller numbers to wild-type levels (Fig. 2ac). The observed number of tillers of ccd7 mutants was 7 tillers per plant on average in untreated (Mock) plants and this decreased to 1 tiller per plant with GR24 treatment (Fig. 2ac).

Fig. 2.

Fig. 2

The ccd7 mutants showed impaired SL biosynthesis and decreased SL-dependent biological activity: a GR24 treatment rescued the tillering phenotype of all T1-mutant lines. One-week-old seedlings were grown in 50-ml tubes and GR24, a synthetic SL analog, was applied twice a week at 2.5 μM for 3 weeks. Cas9ox (Cont.), the SL-deficient mutant d17, and the SL-perception mutant d3 were used as controls. Tillering inhibition by GR24 feeding indicated that the high-tillering phenotype appeared because of lack of SLs biosynthesis. b-c Tillers per plant were recorded with or without GR24 treatment after 3 weeks of application. No. of tillers per plant were significantly reduced after GR24 treatment. Bars represent means ±SE (n = 6). Means not sharing a letter in common differ significantly at P0.05. d Striga germination bioassay was conducted to measure SL bioactivity in T1 mutant lines. The rice plants were grown under normal conditions for 3 weeks. Then in 4th week each line was grown under phosphate-deficient conditions for another week. The SLs were extracted from root exudates of each line and applied to pre-conditioned Striga seeds. Very low Striga seed germination was observed in mutants compared to control, indicating SL deficiency in these lines. Graph shows percent Striga germination in response to root exudates collected from each line. Cas9ox (Cont.) and d17 were used as control plant lines; in addition, the SL analog GR24 and H2O were applied to Striga seeds with no root extracts for controls to show maximum and minimum germination. e LC–MS/MS analysis using multiple reaction monitoring (MRM) of rice root exudates. The MRM transitions for various SLs from root exudates of control, d17 and ccd7 T1-mutant lines were observed. All of the mutants and d17 did not show any detectable signals for SLs. The chromatogram showed peaks for 4-deoxystrigol in the internal standard and control. One of the mutants (dl1) chromatogram is shown as an example

To confirm the SL deficiency of the ccd7 mutants, we quantified the levels of SLs in the corresponding root exudates, using liquid chromatography quadruple time-of-flight tandem mass spectrometry (LC-MS/MS). The LC-MS/MS data indicated that all the mutants showed defective and very poor synthesis of strigolactone, which cannot be detected and quantified by LC-MS/MS (Fig. 2e).

The ccd7 mutants affected Striga germination

SLs induce the germination of parasitic seeds of the Orobancheaceae family, including Striga; therefore, we measured the ability of exudates from ccd7 mutant roots to stimulate the germination of Striga seeds. We found a significant reduction in Striga germination with the root exudates of ccd7 mutants as compared to wild type (Fig. 2d). Although the ccd7 mutants exhibited a defective and extremely poor levels of SL production as compared with controls but they induced some Striga seed germination. However, this Striga seed germination by the root exudates of ccd7 mutants was significantly less than that of control and the standard SL analog GR24. The low Striga seed germination by ccd7 mutants might be due to its highly sensitive perception protein especially ShHTL7 that can detect SL in traces which could not be detectable by LC-MS/MS.

Discussion

Use of the CRISPR/Cas9 system to precisely manipulate the plant genome in a user-defined manner opens myriad possibilities for translational applications in agriculture [5, 6, 19, 20, 34, 42, 49]. Genes controlling plant architecture are prime targets for engineering plant varieties with higher yields; however, to avoid unintended effects, such engineering requires a strong understanding of the mechanisms by which such genes function. In recent years, multiple lines of inquiry have provided a substantial understanding on the biology of SLs, including their biosynthesis, transport, signaling, and interactions with other hormonal responses [43, 51]. SLs control shoot branching and stimulate the germination of parasitic plants; therefore, the manipulation of SL biosynthesis may reduce crop losses and increase yield [15, 33]. For example, reduction of SLs in plants and root exudates could compromise the germination of parasitic plant seeds, and thus reduce crop losses. Indeed, reduction of SL production has shown promise in plant species including rice, pea, fava bean (Vicia faba), tomato (Solanum lycopersicum), and maize (Zea mays) [28, 47]. However, significant reductions in SL levels may compromise other factors, such as the formation of arbuscular mycorrhizal symbioses, and thereby ultimately prove to be a counter-productive strategy [28, 47]. Moreover, finding germplasm of a given crop species with reduced and fine-tuned SL production remains challenging due to the limited genetic diversity of crop varieties. The CRISPR/Cas9 system can be used to produce the much-needed genetic diversity and generate varieties with fine-tuned levels of proteins or metabolites such as SLs.

Here, we employed the CRISPR/Cas9 system for targeted engineering of CCD7 to produce rice mutants with reduced SL biosynthesis. For this purpose, we designed two sgRNAs that target two exons in CCD7 with the aim of generating knockout phenotypes. The deletion of one or two nucleotides at the sgRNA-1 target site in the first exon produced the alleles dl1 and dl2, respectively, and resulted in truncated CCD7 proteins. Targeting the terminal region, the last 7th exon by sgRNA-2 produced seven different alleles labelled hl1 to hl7. The C-terminus of CCD7 protein is an important region to target as any substitution in this region might disrupt the function of the protein [59]. CCD7 contains four highly conserved histidine residues, including H603 that is located in the C-terminus. These four residues are responsible for coordinating the catalytic iron in the reaction center and, hence, are essential for the enzymatic activity of CCDs [2, 31, 52]. Any mutation upstream of this histidine could affect the function of the protein. Both type of alleles, i.e. dl and hl gave rise to a significant reduction in plant height and an increase in tiller number (Fig. 1c and d). The dl and hl high-tillering phenotype was similar to that reported for htd-1 and dit1 resulting from deletions of one and two nucleotides in the first exon and a C to A mutation generating a stop codon in sixth exon, respectively [32, 59]. However, targeting the 2nd exon in rice CCD7 by CRISPR/Cas9 has been recently shown to cause a more pronounced high-tillering phenotype with an average of 145 tillers per plant [54].

In addition, the plant height of hl1 to hl7 lines generated here was reduced by only 10–20%, which is less pronounced compared with the dwarfism previously reported for rice ccd7 mutants [32, 54, 59]. These differences might be due to different cultivar backgrounds. However, we have also observed a variation in the number of tillers per plant among different mutants, with dl1 producing the highest number of tillers (104 tillers per plant) and hl1 the lowest (61 tillers per plant). It can be assumed that these difference are a result of regeneration from tissue culture. In the next segregating generation, some of mutants were lacking the T-DNA (Fig. 1f), which confirms the production of non-transgenic mutant plants with altered plant architecture.

To confirm that the phenotypes observed were caused by SL deficiency, we used the synthetic SL analogue GR24 to restore WT tillering phenotype in dl and hl mutants. With the application of SL analog, all the high tillering mutants showed reduced tillering equal to wild type control, indicating it as SL dependent phenotype. Next, we have quantified SL levels in root exudates by LC-MS using D6–5-Deoxystrigol as internal standard. SLs were not detected in the root exudates of any of these mutants, again showing the interruption of SLs biosynthesis. This fact was further confirmed by Striga hermonthica seed germination assay, a parasitic plant highly sensitive to picomolar concentrations of SLs. Root exudates of the dl and hl mutants showed very low Striga seed germinating activity compared to that of wild type or to the SL analog GR24 control. Collectively, the consistency of these results indicated that the observed high tillering phenotype was due to the disruption of CCD7. The determination of other factors or machineries that might be at paly requires further studies.

Conclusions

The findings of the present study provide a compelling proof-of-concept on the utility of the CRISPR/Cas9 system in translational research for targeted improvement of plant architecture traits. This study shows that targeted engineering of CCD7, and possibly other SLs biosynthesis genes, and fine-tuning of SL levels would produce altered plant architecture in diverse crop species to improve yield and resilience. In this example, developing rice with reduced levels of CCD7 may help to fine-tune the levels of SLs which lead to altered plant architecture especially tillering to improve crop yield and might lower the risk of Striga infection.

Additional file

Additional file 1: (64.4MB, docx)

Supplementary Information. (DOCX 65982 kb)

Acknowledgements

We would like to thank members of the laboratory for genome engineering at KAUST for their helpful discussions and critical reading of the manuscript.

Funding

This study was supported by King Abdullah University of Science and Technology.

Availability of data and materials

All relevant data are available within the manuscript.

Abbreviations

Cas9

CRISPR-associated protein 9

CCD7

CAROTENOID CLEAVAGE DIOXYGENASE 7

CRISPR

Clustered Regularly Interspaced Short Palindromic Repeats

D17

(Dwarf 17)

DL

D17-Like

gRNA

Guide RNA

HL

HTD1-Like

HTD1

High-Tillering Dwarf1

SL

Strigolactone

Authors’ contributions

MM and SA conceived the project; HB, MJ and JYW carried out experiments; HB and MJ analyzed the data; MM, SA, HB and MJ wrote the manuscript. All authors have read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Haroon Butt, Email: haroon.butt.1@kaust.edu.sa.

Muhammad Jamil, Email: muhammad.jamil@kaust.edu.sa.

Jian You Wang, Email: jianyou.wang@kaust.edu.sa.

Salim Al-Babili, Email: salim.babili@kaust.edu.sa.

Magdy Mahfouz, Email: magdy.mahfouz@kaust.edu.sa.

References

  • 1.Abe S, Sado A, Tanaka K, Kisugi T, Asami K, Ota S, Kim HI, Yoneyama K, Xie X, Ohnishi T, Seto Y, Yamaguchi S, Akiyama K, Yoneyama K, Nomura T. Carlactone is converted to carlactonoic acid by MAX1 in Arabidopsis and its methyl ester can directly interact with AtD14 in vitro. Proc Natl Acad Sci U S A. 2014;111(50):18084–18089. doi: 10.1073/pnas.1410801111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ahrazem O, Gomez-Gomez L, Rodrigo MJ, Avalos J, Limon MC. Carotenoid cleavage Oxygenases from microbes and photosynthetic organisms: features and functions. Int J Mol Sci. 2016;17(11):1781. doi: 10.3390/ijms17111781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Al-Babili S, Bouwmeester HJ. Strigolactones, a novel carotenoid-derived plant hormone. Annu Rev Plant Biol. 2015;66:161–186. doi: 10.1146/annurev-arplant-043014-114759. [DOI] [PubMed] [Google Scholar]
  • 4.Alder A, Jamil M, Marzorati M, Bruno M, Vermathen M, Bigler P, Ghisla S, Bouwmeester H, Beyer P, Al-Babili S. The path from beta-carotene to carlactone, a strigolactone-like plant hormone. Science. 2012;335(6074):1348–1351. doi: 10.1126/science.1218094. [DOI] [PubMed] [Google Scholar]
  • 5.Ali Z, Mahas A, Mahfouz M. CRISPR/Cas13 as a tool for RNA interference. Trends Plant Sci. 2018;23(5):374–378. doi: 10.1016/j.tplants.2018.03.003. [DOI] [PubMed] [Google Scholar]
  • 6.Aman R, Ali Z, Butt H, Mahas A, Aljedaani F, Khan MZ, Ding S, Mahfouz M. RNA virus interference via CRISPR/Cas13a system in plants. Genome Biol. 2018;19(1):1. doi: 10.1186/s13059-017-1381-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bae S, Park J, Kim JS. Cas-OFFinder: a fast and versatile algorithm that searches for potential off-target sites of Cas9 RNA-guided endonucleases. Bioinformatics. 2014;30(10):1473–1475. doi: 10.1093/bioinformatics/btu048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Baz L, Mori N, Mi J, Jamil M, Kountche BA, Guo X, Balakrishna A, Jia KP, Vermathen M, Akiyama K, Al-Babili S. 3-Hydroxycarlactone, a novel product of the Strigolactone biosynthesis Core pathway. Mol Plant. 20182052(18):30215-6. 10.1016/j.molp.2018.06.008. [DOI] [PubMed]
  • 9.Bonfante P, Genre A. Arbuscular mycorrhizal dialogues: do you speak ‘plantish’ or ‘fungish’? Trends Plant Sci. 2015;20(3):150–154. doi: 10.1016/j.tplants.2014.12.002. [DOI] [PubMed] [Google Scholar]
  • 10.Brewer PB, Yoneyama K, Filardo F, Meyers E, Scaffidi A, Frickey T, Akiyama K, Seto Y, Dun EA, Cremer JE, Kerr SC, Waters MT, Flematti GR, Mason MG, Weiller G, Yamaguchi S, Nomura T, Smith SM, Yoneyama K, Beveridge CA. LATERAL BRANCHING OXIDOREDUCTASE acts in the final stages of strigolactone biosynthesis in Arabidopsis. Proc Natl Acad Sci U S A. 2016;113(22):6301–6306. doi: 10.1073/pnas.1601729113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bruno M, Al-Babili S. On the substrate specificity of the rice strigolactone biosynthesis enzyme DWARF27. Planta. 2016;243(6):1429–1440. doi: 10.1007/s00425-016-2487-5. [DOI] [PubMed] [Google Scholar]
  • 12.Bruno M, Hofmann M, Vermathen M, Alder A, Beyer P, Al-Babili S. On the substrate- and stereospecificity of the plant carotenoid cleavage dioxygenase 7. FEBS Lett. 2014;588(9):1802–1807. doi: 10.1016/j.febslet.2014.03.041. [DOI] [PubMed] [Google Scholar]
  • 13.Bruno M, Vermathen M, Alder A, Wust F, Schaub P, van der Steen R, Beyer P, Ghisla S, Al-Babili S. Insights into the formation of carlactone from in-depth analysis of the CCD8-catalyzed reactions. FEBS Lett. 2017;591(5):792–800. doi: 10.1002/1873-3468.12593. [DOI] [PubMed] [Google Scholar]
  • 14.Butt H, Eid A, Ali Z, Atia MAM, Mokhtar MM, Hassan N, Lee CM, Bao G, Mahfouz MM. Efficient CRISPR/Cas9-mediated genome editing using a chimeric single-guide RNA molecule. Front Plant Sci. 2017;8:1441. doi: 10.3389/fpls.2017.01441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Conn CE, Bythell-Douglas R, Neumann D, Yoshida S, Whittington B, Westwood JH, Shirasu K, Bond CS, Dyer KA, Nelson DC. PLANT EVOLUTION. Convergent evolution of strigolactone perception enabled host detection in parasitic plants. Science. 2015;349(6247):540–543. doi: 10.1126/science.aab1140. [DOI] [PubMed] [Google Scholar]
  • 16.de Saint GA, Clave G, Badet-Denisot MA, Pillot JP, Cornu D, Le Caer JP, Burger M, Pelissier F, Retailleau P, Turnbull C, Bonhomme S, Chory J, Rameau C, Boyer FD. An histidine covalent receptor and butenolide complex mediates strigolactone perception. Nat Chem Biol. 2016;12(10):787–794. doi: 10.1038/nchembio.2147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Decker EL, Alder A, Hunn S, Ferguson J, Lehtonen MT, Scheler B, Kerres KL, Wiedemann G, Safavi-Rizi V, Nordzieke S, Balakrishna A, Baz L, Avalos J, Valkonen JPT, Reski R, Al-Babili S. Strigolactone biosynthesis is evolutionarily conserved, regulated by phosphate starvation and contributes to resistance against phytopathogenic fungi in a moss, Physcomitrella patens. New Phytol. 2017;216(2):455–468. doi: 10.1111/nph.14506. [DOI] [PubMed] [Google Scholar]
  • 18.Doudna JA, Charpentier E. Genome editing. The new frontier of genome engineering with CRISPR-Cas9. Science. 2014;346(6213):1258096. doi: 10.1126/science.1258096. [DOI] [PubMed] [Google Scholar]
  • 19.Eid A, Alshareef S, Mahfouz MM. CRISPR base editors: genome editing without double-stranded breaks. Biochem J. 2018;475(11):1955–1964. doi: 10.1042/BCJ20170793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Eid A, Mahfouz MM. Genome editing: the road of CRISPR/Cas9 from bench to clinic. Exp Mol Med. 2016;48(10):e265. doi: 10.1038/emm.2016.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Gomez-Roldan V, Fermas S, Brewer PB, Puech-Pages V, Dun EA, Pillot JP, Letisse F, Matusova R, Danoun S, Portais JC, Bouwmeester H, Becard G, Beveridge CA, Rameau C, Rochange SF. Strigolactone inhibition of shoot branching. Nature. 2008;455(7210):189–194. doi: 10.1038/nature07271. [DOI] [PubMed] [Google Scholar]
  • 22.Gutjahr C, Paszkowski U. Multiple control levels of root system remodeling in arbuscular mycorrhizal symbiosis. Front Plant Sci. 2013;4:204. doi: 10.3389/fpls.2013.00204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ha CV, Leyva-Gonzalez MA, Osakabe Y, Tran UT, Nishiyama R, Watanabe Y, Tanaka M, Seki M, Yamaguchi S, Dong NV, Yamaguchi-Shinozaki K, Shinozaki K, Herrera-Estrella L, Tran LS. Positive regulatory role of strigolactone in plant responses to drought and salt stress. Proc Natl Acad Sci U S A. 2014;111(2):851–856. doi: 10.1073/pnas.1322135111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Hamiaux C, Drummond RS, Janssen BJ, Ledger SE, Cooney JM, Newcomb RD, Snowden KC. DAD2 is an alpha/beta hydrolase likely to be involved in the perception of the plant branching hormone, strigolactone. Curr Biol. 2012;22(21):2032–2036. doi: 10.1016/j.cub.2012.08.007. [DOI] [PubMed] [Google Scholar]
  • 25.Hoagland DR, Arnon DI. The water culture method for growing plants without soil. Agricultural Experiment Station, University of California, Berkeley. Circular. 1950;347:1–32.
  • 26.Hsu PD, Lander ES, Zhang F. Development and applications of CRISPR-Cas9 for genome engineering. Cell. 2014;157(6):1262–1278. doi: 10.1016/j.cell.2014.05.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Iseki M, Shida K, Kuwabara K, Wakabayashi T, Mizutani M, Takikawa H, Sugimoto Y. Evidence for species-dependent biosynthetic pathways for converting carlactone to strigolactones in plants. J Exp Bot. 2018;69(9):2305–2318. doi: 10.1093/jxb/erx428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Jia KP, Baz L, Al-Babili S. From carotenoids to strigolactones. J Exp Bot. 2018;69(9):2189–2204. doi: 10.1093/jxb/erx476. [DOI] [PubMed] [Google Scholar]
  • 29.Jiang L, Liu X, Xiong G, Liu H, Chen F, Wang L, Meng X, Liu G, Yu H, Yuan Y, Yi W, Zhao L, Ma H, He Y, Wu Z, Melcher K, Qian Q, Xu HE, Wang Y, Li J. DWARF 53 acts as a repressor of strigolactone signalling in rice. Nature. 2013;504(7480):401–405. doi: 10.1038/nature12870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kim H, Kim JS. A guide to genome engineering with programmable nucleases. Nat Rev Genet. 2014;15(5):321–334. doi: 10.1038/nrg3686. [DOI] [PubMed] [Google Scholar]
  • 31.Kloer DP, Ruch S, Al-Babili S, Beyer P, Schulz GE. The structure of a retinal-forming carotenoid oxygenase. Science. 2005;308(5719):267–269. doi: 10.1126/science.1108965. [DOI] [PubMed] [Google Scholar]
  • 32.Kulkarni KP, Vishwakarma C, Sahoo SP, Lima JM, Nath M, Dokku P, Gacche RN, Mohapatra T, Robin S, Sarla N, Seshashayee M, Singh AK, Singh K, Singh NK, Sharma RP. A substitution mutation in OsCCD7 cosegregates with dwarf and increased tillering phenotype in rice. J Genet. 2014;93(2):389–401. doi: 10.1007/s12041-014-0389-5. [DOI] [PubMed] [Google Scholar]
  • 33.Lopez-Raez JA, Matusova R, Cardoso C, Jamil M, Charnikhova T, Kohlen W, Ruyter-Spira C, Verstappen F, Bouwmeester H. Strigolactones: ecological significance and use as a target for parasitic plant control. Pest Manag Sci. 2009;65(5):471–477. doi: 10.1002/ps.1692. [DOI] [PubMed] [Google Scholar]
  • 34.Mahas A, Neal Stewart C, Jr, Mahfouz MM. Harnessing CRISPR/Cas systems for programmable transcriptional and post-transcriptional regulation. Biotechnol Adv. 2018;36(1):295–310. doi: 10.1016/j.biotechadv.2017.11.008. [DOI] [PubMed] [Google Scholar]
  • 35.Moshelion M, Altman A. Current challenges and future perspectives of plant and agricultural biotechnology. Trends Biotechnol. 2015;33(6):337–342. doi: 10.1016/j.tibtech.2015.03.001. [DOI] [PubMed] [Google Scholar]
  • 36.Murashige T, Skoog F. A revised medium for rapid growth and bioassays with tobacco tissue cultures. Physiol Plant. 1962;15:473–497. doi: 10.1111/j.1399-3054.1962.tb08052.x. [DOI] [Google Scholar]
  • 37.Parker C. Observations on the current status of Orobanche and Striga problems worldwide. Pest Manag Sci. 2009;65(5):453–459. doi: 10.1002/ps.1713. [DOI] [PubMed] [Google Scholar]
  • 38.Ran FA, Hsu PD, Lin CY, Gootenberg JS, Konermann S, Trevino AE, Scott DA, Inoue A, Matoba S, Zhang Y, Zhang F. Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity. Cell. 2013;154(6):1380–1389. doi: 10.1016/j.cell.2013.08.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Ruyter-Spira C, Al-Babili S, van der Krol S, Bouwmeester H. The biology of strigolactones. Trends Plant Sci. 2013;18(2):72–83. doi: 10.1016/j.tplants.2012.10.003. [DOI] [PubMed] [Google Scholar]
  • 40.Sakamoto T, Matsuoka M. Generating high-yielding varieties by genetic manipulation of plant architecture. Curr Opin Biotechnol. 2004;15(2):144–147. doi: 10.1016/j.copbio.2004.02.003. [DOI] [PubMed] [Google Scholar]
  • 41.Sander JD, Joung JK. CRISPR-Cas systems for editing, regulating and targeting genomes. Nat Biotechnol. 2014;32(4):347–355. doi: 10.1038/nbt.2842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Schiml S, Puchta H. Revolutionizing plant biology: multiple ways of genome engineering by CRISPR/Cas. Plant Methods. 2016;12:8. doi: 10.1186/s13007-016-0103-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Seto Y, Yamaguchi S. Strigolactone biosynthesis and perception. Curr Opin Plant Biol. 2014;21:1–6. doi: 10.1016/j.pbi.2014.06.001. [DOI] [PubMed] [Google Scholar]
  • 44.Soundappan I, Bennett T, Morffy N, Liang Y, Stanga JP, Abbas A, Leyser O, Nelson DC. SMAX1-LIKE/D53 family members enable distinct MAX2-dependent responses to Strigolactones and Karrikins in Arabidopsis. Plant Cell. 2015;27(11):3143–3159. doi: 10.1105/tpc.15.00562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Symington LS, Gautier J. Double-strand break end resection and repair pathway choice. Annu Rev Genet. 2011;45:247–271. doi: 10.1146/annurev-genet-110410-132435. [DOI] [PubMed] [Google Scholar]
  • 46.Torres-Vera R, Garcia JM, Pozo MJ, Lopez-Raez JA. Do strigolactones contribute to plant defence? Mol Plant Pathol. 2014;15(2):211–216. doi: 10.1111/mpp.12074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Tsuchiya Y, Yoshimura M, Hagihara S. The dynamics of strigolactone perception in Striga hermonthica: a working hypothesis. J Exp Bot. 2018;69(9):2281–2290. doi: 10.1093/jxb/ery061. [DOI] [PubMed] [Google Scholar]
  • 48.Umehara M, Hanada A, Yoshida S, Akiyama K, Arite T, Takeda-Kamiya N, Magome H, Kamiya Y, Shirasu K, Yoneyama K, Kyozuka J, Yamaguchi S. Inhibition of shoot branching by new terpenoid plant hormones. Nature. 2008;455(7210):195–200. doi: 10.1038/nature07272. [DOI] [PubMed] [Google Scholar]
  • 49.Voytas DF, Gao C. Precision genome engineering and agriculture: opportunities and regulatory challenges. PLoS Biol. 2014;12(6):e1001877. doi: 10.1371/journal.pbio.1001877. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Waldie T, McCulloch H, Leyser O. Strigolactones and the control of plant development: lessons from shoot branching. Plant J. 2014;79(4):607–622. doi: 10.1111/tpj.12488. [DOI] [PubMed] [Google Scholar]
  • 51.Waters MT, Gutjahr C, Bennett T, Nelson DC. Strigolactone signaling and evolution. Annu Rev Plant Biol. 2017;68:291–322. doi: 10.1146/annurev-arplant-042916-040925. [DOI] [PubMed] [Google Scholar]
  • 52.White MD, Flashman E. Catalytic strategies of the non-heme iron dependent oxygenases and their roles in plant biology. Curr Opin Chem Biol. 2016;31:126–135. doi: 10.1016/j.cbpa.2016.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Xie X, Yoneyama K, Yoneyama K. The strigolactone story. Annu Rev Phytopathol. 2010;48:93–117. doi: 10.1146/annurev-phyto-073009-114453. [DOI] [PubMed] [Google Scholar]
  • 54.Yang X, Chen L, He J, Yu W. Knocking out of carotenoid catabolic genes in rice fails to boost carotenoid accumulation, but reveals a mutation in strigolactone biosynthesis. Plant Cell Rep. 2017;36(10):1533–1545. doi: 10.1007/s00299-017-2172-6. [DOI] [PubMed] [Google Scholar]
  • 55.Yao R, Ming Z, Yan L, Li S, Wang F, Ma S, Yu C, Yang M, Chen L, Chen L, Li Y, Yan C, Miao D, Sun Z, Yan J, Sun Y, Wang L, Chu J, Fan S, He W, Deng H, Nan F, Li J, Rao Z, Lou Z, Xie D. DWARF14 is a non-canonical hormone receptor for strigolactone. Nature. 2016;536(7617):469–473. doi: 10.1038/nature19073. [DOI] [PubMed] [Google Scholar]
  • 56.Zhang B, Tian F, Tan L, Xie D, Sun C. Characterization of a novel high-tillering dwarf 3 mutant in rice. J Genet Genomics. 2011;38(9):411–418. doi: 10.1016/j.jgg.2011.08.002. [DOI] [PubMed] [Google Scholar]
  • 57.Zhang Y, van Dijk AD, Scaffidi A, Flematti GR, Hofmann M, Charnikhova T, Verstappen F, Hepworth J, van der Krol S, Leyser O, Smith SM, Zwanenburg B, Al-Babili S, Ruyter-Spira C, Bouwmeester HJ. Rice cytochrome P450 MAX1 homologs catalyze distinct steps in strigolactone biosynthesis. Nat Chem Biol. 2014;10(12):1028–1033. doi: 10.1038/nchembio.1660. [DOI] [PubMed] [Google Scholar]
  • 58.Zhou F, Lin Q, Zhu L, Ren Y, Zhou K, Shabek N, Wu F, Mao H, Dong W, Gan L, Ma W, Gao H, Chen J, Yang C, Wang D, Tan J, Zhang X, Guo X, Wang J, Jiang L, Liu X, Chen W, Chu J, Yan C, Ueno K, Ito S, Asami T, Cheng Z, Wang J, Lei C, Zhai H, Wu C, Wang H, Zheng N, Wan J. D14-SCF (D3)-dependent degradation of D53 regulates strigolactone signalling. Nature. 2013;504(7480):406–410. doi: 10.1038/nature12878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Zou J, Zhang S, Zhang W, Li G, Chen Z, Zhai W, Zhao X, Pan X, Xie Q, Zhu L. The rice HIGH-TILLERING DWARF1 encoding an ortholog of Arabidopsis MAX3 is required for negative regulation of the outgrowth of axillary buds. Plant J. 2006;48(5):687–698. doi: 10.1111/j.1365-313X.2006.02916.x. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: (64.4MB, docx)

Supplementary Information. (DOCX 65982 kb)

Data Availability Statement

All relevant data are available within the manuscript.


Articles from BMC Plant Biology are provided here courtesy of BMC

RESOURCES