Research article
Open Access

Molecular characterization of two A-type P450s, WsCYP98A and WsCYP76A from Withania somnifera (L.) Dunal: expression analysis and withanolide accumulation in response to exogenous elicitations

  • Satiander Rana1,
  • Wajid Waheed Bhat1,
  • Niha Dhar1,
  • Shahzad A Pandith1,
  • Sumeer Razdan1,
  • Ram Vishwakarma2 and
  • Surrinder K Lattoo1Email author
BMC Biotechnology201414:89

https://doi.org/10.1186/s12896-014-0089-5

©  Rana et al.; licensee BioMed Central Ltd. 2014

Received: 25 May 2014

Accepted: 6 October 2014

Published: 23 November 2014

Abstract

Background

Pharmacological investigations position withanolides as important bioactive molecules demanding their enhanced production. Therefore, one of the pivotal aims has been to gain knowledge about complete biosynthesis of withanolides in terms of enzymatic and regulatory genes of the pathway. However, the pathway remains elusive at the molecular level. P450s monooxygenases play a crucial role in secondary metabolism and predominantly help in functionalizing molecule core structures including withanolides.

Results

In an endeavor towards identification and characterization of different P450s, we here describe molecular cloning, characterization and expression analysis of two A-type P450s, WsCYP98A and WsCYP76A from Withania somnifera. Full length cDNAs of WsCYP98A and WsCYP76A have open reading frames of 1536 and 1545 bp encoding 511 (58.0 kDa) and 515 (58.7 kDa) amino acid residues, respectively. Entire coding sequences of WsCYP98A and WsCYP76A cDNAs were expressed in Escherichia coli BL21 (DE3) using pGEX4T-2 expression vector. Quantitative real-time PCR analysis indicated that both genes express widely in leaves, stalks, roots, flowers and berries with higher expression levels of WsCYP98A in stalks while WsCYP76A transcript levels were more obvious in roots. Further, transcript profiling after methyl jasmonate, salicylic acid, and gibberellic acid elicitations displayed differential transcriptional regulation of WsCYP98A and WsCYP76A. Copious transcript levels of both P450s correlated positively with the higher production of withanolides.

Conclusions

Two A-types P450 WsCYP98A and WsCYP76A were isolated, sequenced and heterologously expressed in E. coli. Both P450s are spatially regulated at transcript level showing differential tissue specificity. Exogenous elicitors acted as both positive and negative regulators of mRNA transcripts. Methyl jasmonate and salicylic acid resulted in copious expression of WsCYP98A and WsCYP76A. Enhanced mRNA levels also corroborated well with the increased accumulation of withanolides in response to elicitations. The empirical findings suggest that elicitors possibly incite defence or stress responses of the plant by triggering higher accumulation of withanolides.

Keywords

Withania somnifera Withanolides Cytochrome P450 monooxygenase mRNA Phytohormones E.coli

Background

Cytochrome P450s form a huge superfamily of heme-containing monooxygenases present in all domains of life. These are pivotal in detoxification of xenobiotics, drug metabolism, assimilation of carbon sources and formation of secondary metabolites. Presently, there are more than 18500 P450 genes that have been identified across all the kingdoms of life [1],[2]. The preponderance of P450s is more in plants per species than in animals and their content in angiosperm genomes can reach up to 2% [3],[4]. Plant cellular and metabolic processes are dependent on P450s to drive the reactions such as hydroxylation, oxidative demethylation, desaturation, epoxidation, oxidative rearrangement of the carbon skeleton and oxidative C–C bond cleavage [5]. P450s are endoplasmic reticulum (ER) localised, requiring auxiliary reductases for the activation of molecular oxygen for different reactions. These reductases transfer two electrons in a single step from cofactor NAD(P)H to heme centre of P450s [6]. P450 monooxygenases constitute a highly regio and stereo-specific class of definite substrate-specific enzymes. By gene annotations approximately, 1% of the total genes in Arabidopsis thaliana and other model plants are found to be cytochrome P450s. Arabidopsis genome contains 244 genes and 28 pseudo-genes representing cytochrome P450 [3]. Involvement of P450s in diverse physiological processes in vivo, leads to biosynthesis and catabolism of huge array of complex metabolites like lignin, pigments, defence compounds, fatty acids, hormones and signaling molecules [7]-[9].

Owing to their regio and stereo-specific catalysing versatility, these are potential targets for industrial biocatalysis. P450s have been applied in industry for the investigation of new drugs, medicine or xenobiotics [10]-[12]. Remarkable variety of chemical reactions catalysed and enormous number of substrates attacked, have earned P450s the reputation of “the most versatile biological catalysts in nature” [13]-[15]. Thus, emphasizing identification and characterization of P450s for elucidation of various biosynthetic pathways. Plant P450s are presumed to be polyphyletic in their origin and generally classified into two main clades, A-type and non-A-type. A-type P450s are involved in `plant specific metabolism’ and are responsible for the biosynthesis of diverse natural products [7].

Withania somnifera is a medicinal plant of immense repute known to synthesize a suite of low molecular weight natural products such as flavonoids, alkaloids, terpenoids, tannins, resins and sterols through secondary metabolism [16]-[18]. These metabolites are derived from distinct metabolic pathways. The main constituents reported for significant pharmacological activities are withanolides, a group of naturally occurring triterpenoids. Withanolides are synthesized via both mevalonate (MVA) and non-mevalonate (MEP/DOXP) pathways [19]. Recently, we have elucidated the regulatory role of three branch point oxidosqualene cyclases (β-amyrin synthase, lupeol synthase and cycloartenol synthase) which showed that repression of β-amyrin synthase and lupeol synthase led to diversion of common precursor flux towards cycloartenol synthase resulting in enhanced accumulation of withanolides [20]. We have also characterized two paralogs of cytochrome P450 reductase (WsCPR1 and WsCPR2) wherein WsCPR2 expression was inducible in response to exogenous elicitors [21]. Two more genes namely squalene synthase and squalene epoxidase were also characterized from same plant species [22]. The regulation pattern of squalene synthase, squalene epoxidase, cycloartenol synthase and WsCPR1 and WsCPR2 in leaves and roots at various developmental stages in relation to dynamics of withanolides accumulation, indicated towards their tissue-specific biosynthesis [22]. In our earlier findings, we have reported that exogenous application of methyl jasmonate (MeJA) and salicylic acid (SA) increases withanolide content due to the presence of stress regulatory elements within the upstream promoter regions of their genes [20],[23].

We, in present study report isolation, heterologous expression and transcript profiling of two A-type P450 monooxygenases viz. WsCYP98A (GenBank: HM585369) and WsCYP76A (GenBank: KC008573). These are supposed to be involved mainly in the shikmate and phenylpropanoid pathway biosynthesizing the various defence molecules during biotic and abiotic stress. CYP98A (p-coumarate 3-hydroxylase) catalyzes the meta-hydroxylation of p-coumarate derivatives for the biosynthesis of lignins and chlorogenic acid, which constitutes a crucial bottleneck in phenylpropanoid pathway [24]. The members of CYP76 gene family characterized from many plant species are known to catalyse various oxidative reactions. For instance, Catharanthus roseus CYP76A26 converts both iridodial and iridotrial into 7-deoxyloganetic acid. Whereas, C. roseus CYP76B6 and CYP76C1 from A. thaliana execute hydroxylation of geraniol [25],[26].

In present investigation, full length genes of WsCYP98A and WsCYP76A were cloned and heterologously expressed in Escherichia coli. WsCYP98A shares maximum homology with reported CYP98A of Capsicum annum (95%) and Solanum tuberosum (94%) whereas, WsCYP76A was similar to CYP76A2 of S. tuberosum (83%) and S. melongena (83%). The phylogenetic analysis demonstrated that both genes belong to their respective families and are close homologs to other CYP98A and CYP76A genes of Solanaceae family. The prediction of three dimensional structures, ligand binding site and conserved amino acid residues of both proteins were done using homology modelling analysis. The transcript profiling of WsCYP98A and WsCYP76A in different tissues of W. somnifera was performed using quantitative real time PCR (qRT-PCR). Expression profiles in response to exogenous elicitors namely MeJA, SA and gibberellic acid (GA3) were also studied for both the P450s. Empirical findings reveal their possible role in defence mechanism via enhanced accumulation of withanolides. Purview of literature suggests that this is the only report of type-A WsCYP98A and WsCYP76A from W. Somnifera.

Methods

Plant material

A WS-3 rich genetic stock of W. somnifera designated as WS-Y-08 grown at IIIM experimental farm (CSIR-Indian Institute of Integrative Medicine, Jammu, India, 32°44’N longitude, 74°55’E latitude; 305 m in altitude) was used as a source material. In vitro plants were raised through induction of axillary buds. These cultures were used for MeJA, SA and GA3 treatments. Samples were collected, frozen immediately in liquid nitrogen, and stored at −80°C.

RNA isolation and cDNA synthesis

Total RNA was extracted using Trizol reagent (Sigma, St. Louis, USA) as per manufacturer’s protocol. Concentration of isolated RNAs was estimated by measuring the absorbance at 260 nm in a spectrophotometer (AstraAuriga, Cambridge, UK). Further, quality of RNA was assessed by determining the ratio of absorbance at 260 and 280 nm (A 260/280) and formaldehyde-denatured agarose gel electrophoresis. Total RNA (5 μg ) was incubated with RNase free DNase (Fermentas, Burlington, Canada) at 37°C for 30 min. First strand cDNA synthesized using the RevertAid cDNA synthesis kit (Fermentas, Burlington, Canada) in a total volume of 20 μl containing 3 μg total RNA, 10 mM dNTPs, 10 μM oligo (dT) primer, 1 μl m-MuLV reverse transcriptase (200 U/μl) and 1X first strand buffer (250 mM Tris–HCl, pH 8.3, 250 mM KCl, 20 mM MgCl2, 50 mM DTT). The reaction was incubated for 60 min at 42°C followed by 5 min at 70°C to inactivate the reverse transcriptase.

Amplification of WsCYP98A and WsCYP76A

Degenerate primers (Table 1) based on the conserved regions of P450s were designed by multiple sequence alignment of different P450 monooxygenases sequences retrieved from the GenBank database at National Center for Biotechnology Information (NCBI). Optimization of polymerase chain reaction conditions allowed amplification of cDNA fragments of WsCYP98A and WsCYP76A under following cycling conditions: one cycle of 94°C for 3 min, 35 cycles of 94°C for 30’s, 55-60°C for 30’sec and 72°C for 1 min followed by a final extension of 72°C for 10 min in a thermal cycler (Bio-Rad Laboratories, Hercules, USA). Amplicons examined by agarose gel electrophoresis were cloned into pTZ57R/T vector (Fermentas, Burlington, Canada), and then transformed into E. coli DH5α host strain. Cloned amplicons were sequenced using an automated DNA sequencer (ABI Prism 3130XL; Applied Biosystems, Foster City, USA). The nucleotide sequences obtained were analysed using the similarity search BLAST program and subsequently used for designing gene specific primers (GSPs).
Table 1

List of primers used in the study

Primers

Sequence (5′ − 3′)

Direction

Degenerate

CYP450-1 F.

CCN(A/C/G/T)TAY(C/T)GGH(A/C/T)GD(G/A/T)TACTGGAGR(A/G)CAG

Forward

CYP450-1R.

AGTCD(G/A/T)GD(G/A/T)CAW(A/T)D(G/A/T)GCCCATTCD(G/A/T)AG

Reverse

CYP450-2 F.

ATATGGGCY(C/T)GATTATGGV(G/A/C)CCTCA

Forward

CYP450-2R.

AGCATH(A/C/T)AGH(A/C/T)GGAGTTGGAGGY(C/T)TG

Reverse

5′ and 3′ RACE

5′ Adapter*

GCUGAUGGCGAUGAAUGAACACUGCGUUUGCUGGCUUUGAUGAAA

 

5′ RACE-OUT*

GCTGATGGCGATGAATGAACACTG

Forward

5′ RACE-IN*

CGCGGATCCGAACACTGCGTTTGCTGGCTTTGATG

Forward

5′ CYP98-OUT

TGTTATCAGAATTATTGCAATCTCTGT

Reverse

5′ CYP98-IN

AGCCGTAACCTCATCTTCACGAATGG

Reverse

5′ CYP76-OUT

CGTCTCTGTACCAGCTAAAAACATTTCCAC

Reverse

5′ CYP76-IN

GATCTCATGTTCTGATAACTTGGCTGGTT

Reverse

3′ Adapter*

GCGAGCACAGAATTAATACGACTCACTATAGGT12V(G/A/C)N(A/C/T/G)

 

3′ RACE-OUT*

GCGAGCACAGAATTAATACGACT

Reverse

3′ RACE- IN*

CGCGGATCCGAATTAATACGACTCACTATAGG

Reverse

3′ CYP98-OUT

TGATCGGCTATGAGCGCGTGATGAA

Forward

3′ CYP98-IN

AAGCGCTAAGGTTGCAGCCTCCAA

Forward

3′ CYP76-OUT

AGAGATCCTGAATGTTGGGATGACCCTAT

Forward

3′ CYP76-IN

AGAGATCCTGAATGTTGGGATGACCCTAT

Forward

Full length

  

FullCYP98F

ATGGCAATTCCCTTAGCTGCTGCAATCCCTC

Forward

FullCYP98R

TTATATGTCCACTGCAATTCGTTTATACAACTCAGC

Reverse

FullCYP76F

ATGGAATGGGAATGGAGCTATTTGT

Forward

FullCYP76R

CTAGATAAGATTGATGAGTGTCTCA

Reverse

Expression ( E. coli )

CYP98BamHIF

CGGGATCCATGGCAATTCCCTTAGCTGCTGCAA

Forward

CYP98SalIR

GCTCGTCGACTTATATGTCCACTGCAATTCGT

Reverse

CYP76BamHIF

CGGGATCCATGGAATGGGAATGGAGCTATTTGT

Forward

CYP76SalIR

GCTCGTCGACCTAGATAAGATTGATGAGTGTCTCA

Reverse

Real-Time analysis

RTCYP98F

GTGATGGATGAACAAGGAAACGA

Forward

RTCYP98R

CCGTGCTTAGAAAATGCATCCTC

Reverse

RTCYP76 F.P

TAGAATGGGCACTAGCAGAGCTTTTGCG

Forward

RTCYP76 R.P

CTTGCATATAAGGGAGATTGTCGATGTCGTT

Reverse

ActinF

GAGAGTTTTGATGTCCCTGCCATG

Forward

ActinR

CAACGTCGCATTTCATGATGGAGT

Reverse

*Primers marked with star were provided with the kits. Added restriction sites for cloning into pGEX4T-2 vector are bold.

and 3′ RACE PCR

Remaining 5 & 3 cDNA ends of putative WsCYP98A and WsCYP76A were obtained using RLM-RACE kit according to the product manual (Ambion, Austin, TX, USA). cDNAs obtained were subjected to nested PCR using GSPs as listed in Table 1. Two rounds of PCR were performed, first round with 5′ RACE-OUT corresponding to the 5′ RACE adapter sequence and 5′ CYP98-OUT and 5′ CYP76-OUT as specific outer primers, followed by a second round of PCR with 5′ RACE-IN as inner adapter specific primer and 5′ CYP98-IN and 5′ CYP76-IN as inner GSPs. In both rounds, PCR reactions of 50 μl containing 1.0 μl cDNA as template (except for second round where amplified products of 1st round were used as template), 2 μl of 10 μM 5′ CYP98-OUT and 5′ CYPP76-OUT , 2 μl of 5′ RACE-OUT, 45.0 μl master Mix (34.5 μl PCR-grade water, 10 mM Tris HCl; pH 9.0, 50 mM KCl, 2.5 mM MgCl2, 200 μM dNTPs, 2.5 U Taq DNA polymerase) were subjected to following cycling conditions: One cycle of 94°C for 3 min and 35 cycles of 94°C for 30’s, 60°C for 30’s, 72°C for 2 min with a final step at 72°C of 10 min. Similarly for 3′ RACE, first strand cDNA was synthesized from total RNA using supplied 3′ RACE adapter primer. cDNA was subjected to nested PCR using outer and inner primers specific to 3′ RACE adapter along with 3′ GSPs with same reaction volume and cycling conditions as described for 5′ RACE. The nested amplification products of both 5′ RACE PCR and 3′ RACE PCR were purified and cloned into pTZ57R/T cloning vector (Fermentas, Burlington, Canada). The ligation mixtures were transformed into E. coli cells (New England Biolabs, Herts, UK). The clones were picked individually and amplified in 10 mL of Luria-Bertani (LB) medium at 37°C overnight. The plasmid DNA from each clone was extracted using a DNA plasmid Miniprep Kit (Promega, Madison, USA) and sequenced using M13 primers.

Full-length cloning of WsCYP98A and WsCYP76A

By comparing and aligning the sequences of core fragments, 5′ RACE and 3′ RACE products, the full-length cDNAs of WsCYP98A and WsCYP76A were generated and subsequently amplified with primers FullCYP98F, FullCYP98R and FullCYP76F, FullCYP76R (Table 1). A high fidelity proof-reading DNA polymerase (New England Biolabs, Herts, UK) was employed for amplification under PCR conditions; One cycle of 94°C for 3 min , 35 cycles of 94°C for 30’s, 60°C for 30’s, 72°C for 1 min. The final extension was at 72°C for 10 min. PCR products were analysed on 1.2% agarose gels and visualized under UV light. The resulted amplified products were ligated in pJET vector and transformed into E.coli DH5α.

In silicoanalysis

BLAST (http://blast.ncbi.nlm.nih.gov/Blast.cgi) was used to find similarity of amplified P450s in GenBank database. Translate tool (http://www.expasy.ch/tools/dna.html) was used to predict the open reading frame (ORF). The properties of deduced amino acid sequences of WsCYP98A and WsCYP76A were estimated by using ProtParam (http://www.expasy.ch/tools/protparam.html), SPLIT v.4.0 (http://split.pmfst.hr/split/4/) and TMHMM (http://www.cbs.dtu.dk/services/TMHMM/) programs. Protein sequences were retrieved from the GenBank through BLASTp algorithm at the National Center for Biotechnology Information (NCBI) using WsCYP98A and WsCYP76A sequences as query and several homologous sequences of different plant species were selected. Multiple sequence alignment was performed using ClustalX program with default parameters [27]. For phylogenetic analysis, sequences were aligned employing ClustalW program (http://www.ebi.ac.uk/Tools/msa/clustalw2/) and phylogenetic tree was constructed by Neighbor-joining method using MEGA 6 software [28]. Bootstrap analysis with 100 replicates was also conducted in order to obtain confidence levels for the branches. Protein secondary structures were determined by SOPMA program [29].

Prediction of three-dimensional structures of WsCYP98A and WsCYP76A

Three-dimensional structures of WsCYP98A and WsCYP76A were predicted using Phyre2 server (Protein Homology/analogY Recognition Engine V 2.0) [30] using crystal structure of cytochrome P450 1a2 (PDB: 2hi4) as a template. Ligand binding sites were predicted using 3DLigandSite. Ramachandran plot analysis of both WsCYP98A and WsCYP76A was performed online using RAMPAGE web server [31]. Structurally, evolutionary and functionally important regions were identified in deduced protein sequences by ConSurf [32].

Recombinant protein expression in E. coli

Full length coding sequences of WsCYP98A and WsCYP76A genes were modified by adding restriction sites (Table 1). Full length primers were modified by adding BamHI/SalI restriction sites for both genes for directional cloning in pGEX4T-2 vector and heterologous expression in E. coli. ORFs containing modified restriction sites were excised from pJET cloning vector and ligated into pre-digested, purified pGEX4T-2. Further, ligated mixtures containing pGEX-WsCYP98A and pGEX-WsCYP76A expression cassettes were transformed into E. coli BL21 (DE3). Individual positive colony harbouring transformed expression cassettes were inoculated separately into 100 ml of LB containing 100 μg /ml of ampicillin and incubated overnight at 37°C. 1% culture was transferred into 100 ml of LB media containing the corresponding antibiotic and incubated at 37°C, until optical density (A 600 nm) reached 0.4-0.5. Protein expression was induced by adding Iso-propyl β-D-1-thiogalactopyranoside (IPTG; Fermentas, Berligton, Canada) into the cultures at the concentration of 0.2 mM to 1 mM. The cultures were constantly incubated at 25°C for 8 h. The induced bacterial cells were harvested at an interval of 2 h by centrifugation and resuspended in 6X sodium dodecyl sulphate–polyacrylamide gel electrophoresis sample buffer (SDS-PAGE; 0.375 m Tris pH 6.8, 12% SDS, 60% glycerol, 0.6 m DTT, 0.06% bromophenol blue). The expression of target proteins was analysed on 10% SDS-PAGE.

Tissue-specific gene expression analysis using qRT-PCR

To study tissue-specific expression, total RNA was extracted from leaves, stalks, roots, flowers and berries respectively. Total RNA (5 μg ) was incubated with RNase free DNase (Fermentas, Burlington, Canada) at 37°C for 30 min. cDNA was synthesized from 3 μg of RNA using RevertAid cDNA synthesis kit according to manufacturer’s instruction. qRT-PCR amplification was performed using the Step One Real-time PCR System (Applied Biosystems, Foster City, USA). Briefly, the standard 20 μl of reaction included 0.2 μl cDNA template, 200 nM of each primers, and 10 μl SYBR Premix Ex (Takara, Otsu, Japan) under following cycling conditions: one cycle of 94°C for 1 min, 40 cycle of 94°C for 10’s, 60°C for 15’s and 72°C for 15’s. Two primers, Actin F and Actin R were used to amplify housekeeping actin gene as control. All samples were analysed in triplicate and the specificity of each primer pair was validated by a dissociation curve (a single peak was observed for each primer pair). The real-time PCR amplification data were exported into Microsoft Excel and gene expression levels were calculated based on the comparative Ct method [33].

Effect of elicitors on the expression of WSCYP98A and WsCYP76A

For elicitor treatment the micro-propagated plantlets were pre-cultured in Murashige and Skoog (MS) liquid medium supplemented with 3% sucrose, inositol (100 mg l-1) and incubated at 25 ± 1°C under 16 h photoperiod with light intensity of 30 μMol m-2’s-1 provided by cool, white fluorescent tubes of 40 W (Philips, Calcutta, India) for 2 Weeks. Relative humidity was maintained at 50-60%. The plantlets growing in liquid MS medium were supplemented with MeJA (0.1 mM), SA (0.1 mM), and GA3 (0.1 mM) dissolved in ethanol and untreated were kept as control with same amount of ethanol. The tissue from each treated sample was harvested after 6, 12, 24 and 48 h for RNA isolation. cDNA was obtained from each treated sample including control, using the same RNA isolation and cDNA synthesis protocols as described above. Effect of elicitor treatment on expression profile was studied using qRT- PCR as described above.

Withanolide analysis using HPLC

Withanolides were extracted and quantified as described by Dhar et al. [34]. Concisely, samples of W. somnifera were powdered and extracted with ethanol-water (50:50; v/v) with magnetic stirring at room temperature (25 ± 2°C). Extracts were filtered and the solvent was removed under vacuum. The extracts (20 mg/ml) obtained from each sample of the plant material were prepared in HPLC-grade methanol Water (50:50; v/v) for quantitative analysis. 1.2 mg per 2 ml of the standards of withanolide A (WS-1), withanone (WS-2) and withaferine A (WS-3) were prepared in HPLC-grade methanol. HPLC analysis was performed with Shimadzu HPLC system (Shimadzu, Tokyo, Japan) equipped with 515 quaternary gradient pump, 717 Rheodyne injector, 2996 PDA detector and CLASS-VP software v 6.14. All samples were filtered through 0.45 μM filters (Millipore, Bedford, USA). Extracts of W. somnifera samples were separated on a RP-18e (4.6 × 100 mm, 5 μM) (Merck, Bangalore, India) column. The mobile phase consisted of methanol Water (60:40; v/v) delivered at a flow rate of 0.5 ml/min. The samples were analyzed at 30°C to provide efficiency to the peaks. The UV chromatograms were recorded at 237 nm.

Results and discussion

Molecular cloning of WsCYP98A and WsCYP76A

P450 superfamily contain genes of diverse functions involved both in primary as well as secondary metabolism. These are heme-thiolate proteins containing iron atom coordinated to a proximal cysteine and receive electrons from NAD(P)H via a FAD-domain of auxiliary reductases. In the present investigation, two monooxygenases from W. somnifera, WsCYP98A and WsCYP76A have been isolated and expressed in E. coli BL21 (DE3). Quantitative assessment of gene expression pattern in different plant organs and relative transcript abundance in response to exogenous elicitors was also evaluated and corroborated with withanolide production to extrapolate and infer their possible role during biotic and abiotic stresses.

Full length cDNAs of WsCYP98A and WsCYP76A genes were obtained from the leaf tissue of WS-3 rich chemo-variant by degenerate PCR and RACE methods (WsCYP98A: HM585369 and WsCYP76A: KC008573). Degenerate primers based on conserved regions were designed by employing multiple sequence alignment strategy using ClustalW. A 550 bp and 520 bp core fragments were obtained from initial RT-PCR reactions. The amplicons were confirmed as members of CYP98 and CYP76 families by sequencing and similarity searches using BLASTn. Further, extension of both amplified core fragments toward 5′ and 3′ ends by using RACE-PCR succeeded in amplification of remaining cDNA portions. Using GSPs designed from start codons and stop codons, 1536 bp and 1548 bp open reading frames (ORFs) were amplified from the pool of leaf cDNA designated as WsCYP98A and WsCYP76A and theses encoded 511 and 515 amino acid residues respectively (Figure 1A and B). The first methionine as per First-AUG rule was considered as initiator codon. WsCYP98A contains downstream untranslated region (UTR; 230 bp) at 3′ ends whereas WsCYP76A comprises of 3′-UTR of 180 bp. Similarity search showed WsCYP98A shares 65-95% homology with protein sequences of many other species while WsCYP76A shares 39-89% homology.
Figure 1

Nucleotide and the deduced amino acid sequence of WsCYP98A (A) and WsCYP76A (B) from Withania somnifera . The start codon (ATG) present at 4th and 7th positions whereas stop codons at 1552 and 1537 bp, respectively.

In silico characterization of deduced WsCYP98A and WsCYP76A

WsCYP98A and WsCYP76A have predicted isoelectric points 8.13 and 7.99 and molecular masses of 58.0 kDa and 58.7 kDa respectively. Multiple sequence alignment with P450s of taxonomically diverse species showed presence of cysteine heme ligand signature which is characteristic signature of P450 sequences This motif was detected at positions 434-443 aa (FGAGRRVCPG) and 444-453 aa (FGAGRRMCVG) for WsCYP98A and WsCYP76A respectively (Figure 2A and B). Like all eukaryotic monooxygenases, a string of amino acid residues which helps in anchoring to ER membrane was detected at the N-terminal end of each monooxygenase. This membrane anchor region is also essential for normal interaction between P450s and their redox partners. Their presence was also predicted by TMHMM and SPLIT 4.0 bioinformatics programs (Additional file 1: Figure S1). To ascertain the degree of evolutionary relatedness, Neighbor-joining phylogenetic tree was constructed with MEGA 6.0 software from the ClustalW alignment of WsCYP98A and WsCYP76A with a number of homologous P450 sequences of different plants retrieved from the NCBI GenBank database. WsCYP98A and WsCYP76A corresponded to two separate phylogenetic clans in accordance with the amino acid similarity among their proteins (Figure 3). Prediction of secondary structure of WsCYP98A and WsCYP76A proteins by SOPMA program revealed that they consist of α-helixes (52.84%; 50.68%), β-turns (6.07%; 4.47%) joined by extended strands (8.61%; 10.49%), and random coils (32.49%; 34.37%). Three dimensional structural models for WsCYP98A and WsCYP76A were generated using Phyre2 with >90% accuracy on the basis of homology based modelling using cytochrome P450 1a2 (PDB: 2HI4) as template (Figure 4A and C). The amino acid residues involved in ligand binding were also predicted using the 3DLigandSite tool as depicted in Figure 4B and D. Analysis of the evolutionary conservation of WsCYP98A and WsCYP76A amino acids were performed using ConSurf program. Several residues with high scores were found to be functional and structural residues of the proteins by ConSeq servers (Additional file 2: Figure S2). Ramachandran plot analysis of WsCYP98A showed 461 aa (90.6%) residues in the most favourable region, 32 aa (6.3%) residues in the additional allowed region and 16 (3.1%) in the outlier region. Similarly, in case of WsCYP76A, 480 aa (93.6%) residues were in the most favourable region, 20 aa (3.9%) residues in the additional allowed region and 13 (2.5%) in the outlier region (Additional file 3: Figure S3).
Figure 2

Multiple sequence alignment of deduced amino acid sequences of WsCYP98A and Ws CYP76Awith their respective homologs using Multalign tool. For WsCYP98A (A), sequences used for alignment were from Withania somnifera (WsCYP98A: HM036710), Solanum lycopersicum (ACF17644.1) Capsicum annuum (ACF17644.1), Ruta graveolens (AEG19446.1), Platycodon grandiflorus (AEM63674.1), Ammi majus (AAT06912.1). Consensus residues present were shown below. For WsCYP76A (B), sequences used for alignment were from Withania somnifera (WsCYP98A: HM036710), Solanum lycopersicum (XP_004249463), Populus trichocarpa (XP_002309107.1), Fragaria vesca (XP_004305369.1), Petunia x hybrida (BAC53892.1). Consensus residues present were shown below.

Figure 3

Phylogenetic analysis of deduced amino acid sequences of WsCYP98A and WsCYP76A was inferred using the Neighbour-joining method employing MEGA 6.0 software. For WsCYP98A total of 10 sequences and for WsCYP76A, 12 sequences including Withania somnifera were used for analysis. The sequences used were from following plant specieis: Withania somnifera (WsCYP98A: HM036710; WsCYP76A: GU808569), Solanum lycopersicum (ACF17644.1) Capsicum annuum (ACF17644.1) Solanum tuberosum (XP_006347680.1), Ruta graveolens (AEG19446.1), Platycodon grandiflorus (AEM63674.1), Ammi majus (AAT06912.1), Zea mays (ACG25686.1), Triticum aestivum (CAE47490.1), Papaver somniferum (AFK73720.1), Sinopodophyllum hexandrum (AGC29945.1), Solanum melongena (CAA50648.1), Solanumlycopersicum (XP_004249463), Populus trichocarpa (XP_002309107.1), Fragaria vesca (XP_004305369.1), Petunia x hybrida (BAC53892.1), Theobroma cacao (XP_007027589.1), Catharanthus roseus (iridoid oxidase; AHK60833.1), Morus notabilis (EXC33897.1), Rauvolfia serpentina (G-10-H like; AGX93053.1), Amsonia hubrichtii (G-10-H like; AGX93052.1, Citrus sinensis (G-8-H like; XP_006477331.1). Both P450 confined to separated clan and exhibited maximum similarity with their respective members of CYP98 and CYP76 families.

Figure 4

Prediction of three dimensional structures of Ws CYP98A and Ws CYP76A using Phyre 2 based on homology modelling approach. A & C: Cartoon display of the 3-D structures of WsCYP98A and WsCYP76A as predicted by Phyre2 using crystal structure of cytochrome P450 1a2 (PDB: 2HI4) as template. B & D: Predicted ligand (shown in green) binding sites as predicted by 3DLigandSite Web Server. The residues involved in substrate binding and active site are shown in the center core of structure.

Heterologous expression in E. coli

For heterologous expression, entire coding sequences of WsCYP98A and WsCYP76A cDNAs were expressed in E. coli using pGEX 4 T-2 expression vector system. The ORFs were released from pJET-WsCYP98A and pJET-WsCYP76A using BamHI/SalI restriction enzymes, and inserted into vector pGEX4T-2. The recombinant expression vectors with the inserted WsCYP98A and WsCYP76A constructs were identified by PCR analysis and restriction digestion using BamHI/SalI. Heterologous expression of proteins was induced with different concentrations of IPTG. SDS-PAGE analysis demonstrated that optimum expression of proteins was observed at 25°C using 0.8 mM IPTG after 6-8 h of induction. The fusion protein having molecular weight of ~84.06 kDa and ~84.7 kDa appeared in the lysate of recombinant E. coli transformed with the expression cassettes pGEX-WsCYP98A and pGEX-WsCYP76A, respectively (Figure 5). The apparent molecular masses of these recombinant proteins were in good agreement with molecular mass of GST (26 kDa) and those calculated from the deduced primary structures of WsCYP98A and WsCYP76A proteins. Previously, we were able to optimize the functional expression of WsCPRs in soluble fraction with its membrane anchor [21]. Nevertheless, WsCYP98A and WsCYP76A were not expressed in soluble fraction in ample amount. Maximum amount of recombinant protein of two P450s were localized to inclusion bodies which hindered their purification.
Figure 5

Sodium dodecyl sulphate–polyacrylamide gel electrophoresis (SDS-PAGE: 10%) pattern of proteins obtained from E.coli BL21 (DE3) transformed with pGEX- WsCYP98A and pGEX- WsCYP76A . Lane 1 & 8; Cell lysate of E. coli BL21 (DE3) cells containing the empty vector pGEX-4 T2 obtained at 4 h post-induction with 0.8 mM IPTG. Lane 2 & 9; Whole cell lysate of uninduced WsCYP98A and WsCYP76A, Lane 7; Standard protein marker Lane 3-6 & 9-12; Cell lysate of WsCYP98A and WsCYP76A induced with 0.8 mM IPTG harvested after 2 h, 4 h, 6 h and 8 h respectively.

Tissue-specific gene expression analysis

To study WsCYP98A and WsCYP76A gene expression pattern in different tissues of W. somnifera, cDNA libraries were prepared separately from RNA samples extracted from leaves, stalks, roots, flowers and berries (unripen) of four month old plant. Tissue-specific cDNAs were used as templates for qRT-PCR. The results showed highest expression of WsCYP98A in stalk (Figure 6A). Similar findings have been reported for coumarate 3-hydroxylase in A. thaliana where the distribution of transcripts was more preponderant in stem. High frequencies of CYP98A transcripts have also been observed in poplar and pine xylem, soybean hypocotyl and stem, as well as cotton fibres indicating towards its higher expression in lignin synthesizing tissues [35]-[37]. However, two closely related homologs CYP98A8 and CYP98A9 expressed predominantly in floral tissues which is very distinct from other CYP98 members. The higher expression in floral tissue probably helps in pollen coat development [38]. WsCYP76A transcripts were found predominantly expressing in roots of W. somnifera (Figure 6B). Likewise, expression of CYP76A3 was reported higher in petunia roots. Higher expression of WsCYP76A in roots possibly protects plant against attack by plant pathogens [39]. The comparative analysis of transcriptomes in Salvia miltiorrhiza showed abundant expression of CYP76AH1 in roots rather than other plant tissues and found to be involved in tanshinone biosynthetic pathway [40]. The least expression of both monooxygenases was observed in berries.
Figure 6

Quantitative assessment of the expression of (A) WsCYP98A and (B) WsCYP76A in different tissues of Withania somnifera. Data were compared and analysed with analysis of variance (ANOVA). Values are means, with standard errors indicated by bars, representing three independent biological samples, each with three technical replicates.

Effect of elicitors on WsCYP98A and WsCYP76A

In vitro cultures established via micro-propagation were used for MeJA, SA and GA3 treatments. Micro-shoots were grown for 2 Weeks in MS liquid medium. Subsequently, micro-shoots were supplemented with MeJA (0.1 mM), SA (0. 1 mM) and GA3 (0.1 mM) for 48 h. The untreated were kept as control. Samples were harvested after 6, 12, 24, and 48 h of interval. Equal amounts of DNase-treated RNA (3 μg ) of control and treated samples were converted into cDNA. The effect of MeJA, SA and GA3 on expression profile of WsCYP98A and WsCYP76A was studied using qRT-PCR.

One of the important endogenous plant hormones MeJA is known to modulate biosynthesis of many of the secondary metabolites that play crucial role in the adaptation of plants to various biotic and biotic stresses [41]. MeJA has been reported to stimulate the biosynthesis of alkaloids by inducing the expression of several genes from the monoterpenoid branch of the monoterpene indole alkaloid biosynthetic pathway [42]. In present study, MeJA induced expression of both P450s post 48 h of treatment. WsCYP98A showed 2-fold increase in expression after 48 h of application of MeJA while WsCYP76A showed 6-fold increase in the expression after 48 h of MeJA application (Figure 7A).
Figure 7

Quantitative real-time analysis of WsCYP98A and WsCYP76A expression in micro-propagated Withania somnifera induced by (A) methyl jasmonate (MeJA; 0.1 mM), (B) salicylic acid (SA; 0.1 mM) and (C) gibberellic acid (GA 3 ; 0.1 mM) treatments. MeJA, SA and GA 3 were added to the micro-propagated plantlets pre-cultured for 2 Weeks on MS liquid medium. The samples were harvested at time points of 6, 12, 24, and 48 h. Actin was kept as internal control. Data were compared and analysed with analysis of variance (ANOVA). Experiments were performed in triplicate with similar results with standard errors indicated by bars, representing three independent biological samples, each with three technical replicates.

SA has been studied in detail as stress signaling molecule. It is implicated in signal transduction of numerous processes including the biosynthesis of some important secondary metabolites in plants [43]-[45]. SA has been demonstrated to induce the accumulation of triterpenoids, ginsenosides in Panx ginseng and glycyrrhizin in Glycyrrhizaglabra, respectively [44],[46]. Production of sesquiterpenoids, such as bilobalide in Ginkgo biloba and artemisinin in Artemisia annua are also stimulated by exogenous application of SA [47],[48]. SA treated plantlets showed upto 2.5-3 fold increase in accumulation of WsCYP98A and WsCYP76A after time points of 24 h and 48 h, respectively (Figure 7B). The results obtained are fully in agreement with the previous studies wherein microarray analysis revealed up-regulation of several P450s from A. thaliana in response to SA treatment [49]. Likewise, enhanced expression of CYP98A5 gene has been noticed in Physilus vulgaris when leaves were treated with derivatives of salicylic acids [50]. The induction of LjC3H in Lonicera japonium has been induced by the treatment of MeJA and UV radiation [51],[52]. Up-regulation of transcript levels of WsCYP98A and WsCYP76A in response to elicitors may be due to their possible implication in defence mechanism.

CYP98A is key gene of phenylpropanoid pathway which leads to formation of flavonoids, phenolic and lignin. During pathogens attack and wound healing, deposition of lignin and suberin synthesis occurs in the cell wall [53]. Thus, the abundance of transcripts of WsCYP98A in treated plantlets appears to be a defence response due to elicitor triggered stimulus. The expression of WsCYP76A have also enhanced in response to MeJA and SA treatment. Members of same family like CYP76B6 is strongly induced by MeJA treatment along with other terpenoid indole alkaloid biosynthesis genes in C. roseus cell culture. After 48 h of MeJA treatment the expression of WsCYP76A was about 6-fold higher than control. Closely related homologs of CYP76 family are mainly involved in biosynthesis of phytoalexin and are mostly multifunctional oxidases such as CYP76M7, which seem to be involved in the production of antifungal phytocassanes [54]. CYP76B6 has been shown to be a highly specialized multifunctional enzyme catalyzing two sequential oxidation steps leading to the formation of 8-oxogeraniol from geraniol [55].

GA3 is a diterpene plant growth regulator, controlling various growth and developmental process from seed germination to flower and fruit development. Broadly, GAs have been implicated in various cross talk mechanisms among different signaling pathways triggered by other plant growth regulators [56]. It impinges on a common transcription module of other phytohormones thus promoting many similar developmental responses in plants [57]. It has also been contended that GA3 orchestrates the metabolite fluxes between the primary and secondary metabolism influencing the production of isoprenoids and carotenoids [58],[59]. Exogenous application of GA3 resulted in decrease in the expression of WsCYP98A as well as WsCYP76A (Figure 7C). Lowest transcript levels were observed after 24 h of treatment which indicated that GA3 acts as negative regulator of these two genes. After 48 h of treatment the transcript accumulation of WsCYP98A was comparable to control while as WsCYP76A showed 0.5-fold higher expression in comparison to control.

Effect of elicitors on accumulation of withanolides

Elicitor treatment is an efficient strategy to induce de novo synthesis of secondary metabolites. Endogenous signal molecules like MeJA and SA act as key signaling compounds in various stress responses and plants subjected to various vagaries often result in higher accumulation of secondary metabolites such as alkaloids, terpenoids, flavonoids, phenolic compounds and phytoalexins [60],[61]. To establish a correlation between expression profiles and metabolite flux, withanolides extracted from the treated samples were subjected to HPLC analysis (Additional file 4: Figure S4). There was appreciable increase in WS-1 and WS-3 over a period of time in response to elicitor treatments. In MeJA treated samples, there was a significant increase in WS-1 (53.583 ± 1.02 − 137.530 ± 1.76 μg g-1 of dry weight) and WS-3 (584.012 ± 2.67 − 2504.937 ± 3.52 μg g-1 of dry weight) (Figure 8A). SA treated samples showed marked increase in both WS-1 (129.934 ± 1.04 − 230.864 ± 1.54 μg g-1 of dry weight) and WS-3(448.257 ± 2.59 − 1467.235 ± 2.58 μg g-1 of dry weight) with no traces of WS-2 (Figure 8B). Estimation of withanolide accumulation in GA3 treated samples demonstrated a gradual decline in WS-3 (397.326 ± 3.54 − 295.1673 ± 3.18 μg g-1 of dry weight) while as WS-1 increased moderately up to 24 h (58.475 ± 2.2 − 112.667 ± 2 μg g-1 of dry weight) but after 48 h there was a slight decrease in WS-1 (84.214 ± 2.01 μg g-1 of dry weight). WS-2 level also peaked at 6 h (44.323 ± 2.49 μg g-1 of dry weight) in GA3 treated plantlets followed by a decrease at 24 h (10.867 ± 0.73 μg g-1 of dry weight) and un-detectable concentration after 48 h (Figure 8C). Absence or low production of WS-2 is possibly linked to inherently lower levels of WS-2 accumulation even in cultivated accessions of W. somnifera [37]. Application of exogenously applied phytohormones has been shown to impinge on physiological and metabolic processes in many plant organs and cell cultures. In some of the reports accumulation of anthocyanins, glutathione and flavonoids have shown varied response to GA3 treatments [62].
Figure 8

Time-course effect of elicitor treatments on withanolides accumulation in response to (A) methyl jasmonate (0.1 mM), (B) salicylic acid (0.1 mM) and (C) gibberellic acid (0.1 mM) at different time points. Variation in three key withanolides viz. withanolide A (WS-1), withanone (WS-2) and withaferine A (WS-3) was confirmed by HPLC analysis at 6, 12, 24 and 48 h. All values obtained were means of triplicate with standard errors. Time course accumulation of WS-1, WS-2 and WS-3 was statistically significant at *p < 0.05, **p < 0.01 and ***p < 0.001 levels.

In our previous reports, MeJA and SA up-regulated the expression of squalene synthase, squalene epoxidase and WsCPR2 genes which play an important regulatory role in the phytosterol biosynthesis [63]. These elicitors are important components of signal transduction cascades activating plant’s defence response against pathogen attack and often result in increased metabolite accumulation.

Conclusion

The increased demand of secondary metabolites for medicinal purposes coupled with low yield and supply has spurred the interest in enhanced production of bioactive metabolites. Recent developments and upsurge in synthetic biology approach in combination with rapid advances in systems biology and metabolic engineering have enabled the manipulation of genome of microorganisms to produce heterologous molecules in a manner that was previously much more demanding in terms of integrating the metabolic circuitries in heterologous host [64]. P450s play a critical role in heterologous and homologous systems as they are able to catalyse regio- and stereospecific hydroxylation reactions that are extremely difficult to carry out using chemical methods [65]. These P450-catalysed reactions are pivotal steps in the biosynthesis of variety of compounds and optimization of P450 enzyme activities are key targets in yield improvement efforts to render such approaches economically feasible [66]. The characterization of P450s and their role in biosynthesis of plant secondary metabolites is a fascinating area of investigation. Present endeavour was aimed towards identification and characterization of different P450 monooxygenases from W. somnifera. We were able to clone two important P450 monoxygenases from Withania which seem to play an active role in defence mechanism by coping up with biotic or abiotic stresses. It also gets reflected in higher accumulation of withanolides. The full length genes were successfully transformed in E. coli for heterologous expression. Time-course study revealed that IPTG had positive influence on protein expression in E. coli. Expression pattern for WsCYP98A and WsCYP76A in different plant tissues was studied using qRT-PCR which showed highest expression of WsCYP98A in stalk but the expression of WsCYP76A was more obvious in roots. In present study, MeJA and SA acted as positive regulators whereas GA3 behaved as a negative regulator for WsCYP98A and WsCYP76A. To establish a correlation between enhanced transcript levels in response to activation of defence mechanism we also analysed withanolide accumulation. As the elicitors play key role as signaling molecules during stress conditions and enhance production of secondary metabolites, we observed discernible changes in withanolide concentrations. MeJA elicitation significantly increased the WS-3 accumulation over a period of 48 h. These results were in conformity with our earlier studies where MeJA and SA mediated induction of squalene synthase, squalene epoxidase and WsCPR2 also led to enhanced withanolide content [63],[67]. GA3 was found to be a negative regulator and resulted in low levels of mRNA transcripts. The accumulation of withanolides in GA3 treated samples showed remarkable decrease in WS-3 and WS-1 accumulation. These results are positively corroborating with some of our earlier findings where the exogenous application of GA3 resulted in decrease in the cycloartenol synthase at translational level resulting in the decline of withanolide content [20]. Possibly, GA3 application diverts the flux towards the formation of primary metabolites for cell elongation and development because it has been reported to be associated with the promotion of germination, growth, and flowering [62]. For homologous modulation of withanolide biosynthetic pathway, we have successfully incited the induction of transformed hairy roots using Agrobacterium rhizogenes. Hairy roots provide an excellent experimental system to understand the regulatory role of different P450s with their redox partners for enhanced production of withanolides (Unpublished).

Additional files

Abbreviations

ER: 

Endoplasmic reticulum

GSPs: 

Gene specific primers

RACE: 

Rapid amplification of cDNA ends

ORF: 

Open reading frame

UTR: 

Untranslated region

E. coli : 

Escherichia coli

IPTG: 

Isopropyl- β-D-thiogalactopyranoside

SDS-PAGE: 

Sodium dodecyl sulphate polyacrylamide gel electrophoresis

qRT-PCR: 

Quantitative real-time polymerase chain reaction

MeJA: 

Methyl jasmonate

SA: 

Salicylic acid

GA3: 

Gibberellic acid

HPLC: 

High performance liquid chromatography

Declarations

Acknowledgements

This work was supported by a grant from the Council of Scientific and Industrial Research (CSIR), Government of India, New Delhi under Network Project BSC-0108. S. Rana, W.W.B, N.D. and S. Razdan are thankful to CSIR, Government of India, New Delhi for Senior Research Fellowship (CSIR-SRF). S A. Pandith is grateful to University Grants Commission, Government of India, New Delhi for Senior Research Fellowship (UGC-SRF).

Authors’ Affiliations

(1)
Plant Biotechnology Division, CSIR-Indian Institute of Integrative Medicine
(2)
Medicinal Chemistry Division, CSIR-Indian Institute of Integrative Medicine

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