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Tansley Review

Bioengineering of plant (tri)terpenoids: frommetabolic engineering of plants to syntheticbiology in vivo and in vitro

Author for correspondence:Alain GoossensTel: +329 3313851Email: [email protected]

Received: 7 March 2013Accepted: 12 April 2013

Tessa Moses 1,2,3,4 , Jacob Pollier 1,2 , Johan M. Thevelein 3,4 and Alain Goossens 1,21Departmentof PlantSystemsBiology, VIB,Technologiepark 927,B-9052,Gent, Belgium;2 Department of PlantBiotechnologyand

Bioinformatics, Ghent University, Technologiepark 927, B-9052, Gent, Belgium; 3 Department of Molecular Microbiology, VIB,

Kasteelpark Arenberg 31, B-3001, Leuven, Heverlee, Belgium; 4 Laboratory of Molecular Cell Biology, Institute of Botany and

Microbiology, KU Leuven, Kasteelpark Arenberg 31, B-3001, Leuven, Heverlee, Belgium

Contents

Summary 27

I. Introduction 27

II. ‘Natural’ terpenoid biology 28

III. ‘Synthetic’ terpenoid biology 32

IV. Perspectives: ‘exploration of triterpenoids: the road ahead’ 38

Acknowledgements 40

References 40

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Key words: bioengineering, combinatorialbiosynthesis, directed enzyme evolution,heterologous biosynthesis, secondarymetabolism, synthetic biology, terpenoids,triterpenoids.

SummaryTerpenoids constitute a large and diverse class of natural products that serve many functions in

nature. Most of the tens of thousands of the discovered terpenoids are synthesized by plants,where they function as primary metabolites involved in growth and development, or assecondary metabolites that optimize the interaction between the plant and its environment.Several plant terpenoids are economically important molecules that serve many applications aspharmaceuticals, pesticides, etc. Major challenges for the commercialization of plant-derivedterpenoids include their low production levels in planta and the continuous demand of industryfornovel moleculeswith neworsuperiorbiological activities. Here,we highlightseveralsyntheticbiology methods to enhance and diversify the production of plant terpenoids, with a foresighttowards triterpenoidengineering, theleastengineeredclassof bioactiveterpenoids. Increasedor cheaper production of valuable triterpenoidsmay be obtainedby ‘classic’ metabolicengineeringof plants or by heterologous production of the compounds in other plants or microbes. Noveltriterpenoidstructures canbe generated throughcombinatorialbiosynthesis or directed enzyme

evolutionapproaches. In its ultimate form, syntheticbiology maylead to theproduction of largeamounts of plant triterpenoids in in vitro systems or custom-designed articial biologicalsystems.

I. Introduction

Plantssynthesize andaccumulatea wide rangeof smallmoleculesornatural products that are involved in fundamental physiologicaland ecological processes. Some of these natural products havetherapeutic potential which has been exploited by humans forthousands of years in the form of traditional herbal medicine. In

recentyears, with our growing understanding of their biosynthesis,regulation and functioning, plant-derived natural products haveemerged as high-value therapeutics, avors and fragrances, colorants and health-promoting agents. Based on their structure andbiosynthetic origin, plant natural products can be classied intodifferent groups, such as the terpenoids, alkaloids and phenoliccompounds (Croteau et al., 2000). This review focuses on the

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terpenoids, of which tens of thousands of compounds have beencharacterized from plants. The terpenoids or isoprenoids comprisestructurally diverse compounds that are associated with primary aswell as secondary metabolism. Gibberellin, abscisic acid andbrassinosteroid phytohormones, phytosterols and carotenoid pig-ments are primary metabolic terpenoids involved in basicfunctions, such as the regulation of plant growthanddevelopment,photosynthesis, membrane permeability and uidity (Bohlmann& Keeling, 2008; Vranov a et al., 2012). However, the majority of the plant terpenoids are secondary metabolites that play a crucialrole in the interaction of the plant with its environment, forinstance by serving as pollinator attractants, herbivore repellents,anti-feedants, toxins or antibiotics (Gershenzon & Dudareva,2007).

The structural variety and inherent biological activities of many plant terpenoids have rendered them widely applicable. With anannualproduction of 107 tons, natural rubber is themost abundantterpenoid produced. Because of its unique properties, it serves as a biological material in the non-food industry for the production of

heavy-duty tires, vibration dampers or latex products, such assurgical gloves (van Beilen & Poirier, 2007). Other examples of plant terpenoidswithsignicanteconomic valueinclude:menthol,a monoterpenoidextracted from peppermint andused in theavorand fragrance industry; abietic acid, a diterpenoid isolated fromconifer rosin that is used in lacquers, varnishes and soap; and theanti-malarial and anti-cancer drugs artemisinin and taxol, respec-tively (Bohlmann & Keeling, 2008).

A major hurdle in the commercialization of plant terpenoids isthat they often accumulate in very low concentrations in planta ,thereby hindering their purication in large amounts from thenatural source. When the extraction of a natural product from itsnatural sourceisnotsufcient, severalalternativeapproachescanbeexplored, including: (1) plant breeding and genetic engineering togenerate cultivars or transgenics accumulating higher levels of thedesired compounds; (2) the development of scalable plant cell orroot cultures; and(3) theengineering of microbialhosts to producethe compound. Commercially viable alternative production sys-tems have already been established for some terpenoids, which isreected in the emergence of companies, such as Phyton Biotech(http://www.phytonbiotech.com/), a global provider of chemo-therapeutics, includingpaclitaxelextractedfromTaxus cellcultures,and Amyris (http://www.amyris.com/), which uses a syntheticbiology platform for the production of artemisinin in yeast.

Furthermore, the (pharmaceutical) industry is in constant search

for novel molecules, primarily as a result of the discovery of new drug targets, the emergence of new diseases and, in the case of infectious diseases, the growing resistance of microbes to thecurrently marketed antibiotics (Pollier et al., 2011). In addition,thebusiness model of pharmaceutical companies is under threat, asleading blockbuster drugs will soon lose patent protection andbecome available for market competition, which often leads tolower market prices, thereby rendering the production of the drug non-protable to the original developer. As traditional pharmaco-logical screening of medicinal plants is time consuming andexpensive, and the output of combinatorial chemistry libraries islow in terms of new drugs, alternative approaches to generate new

moleculesor scaffoldsarerequired (Koehn& Carter, 2005; Welschet al., 2010). Combinatorial biosynthesis accelerates the process onatural evolutionandmultiplies thenatural diversityby generating novel enzyme – substrate combinations. Thereby, it can be ratio-nally applied to custom design new compounds (Kirschning et al.,2007; Pollier et al., 2011).

In this review, we provide a futuristic view into the engineeringof triterpenoids, the least engineered class of terpenoids withpharmaceutical potential, by drawing inspiration from the currentstatus of engineering of other terpenoid classes in plants andmicrobial hosts. We highlight the latest approaches for enhancingthe production and increasing the structural diversity of naturalcompounds, and frame the potential of the booming trends insynthetic biology in the perspective of triterpenoid production.

II. ‘Natural’ terpenoid biology

A basic understanding of the biosynthesis and regulation of acompound is strategic to any bioengineering initiative. Therefore,

we set thebase for triterpenoidbiology by providingan insight intotheir synthesis and regulation in plants. A correct perception oftheir native production habitat and machinery permits thetranslation of this knowledge to thebioengineering of nativeplantsor heterologous hosts.

1. Classication and biosynthesis of plant terpenoids

Despite their enormous structural diversity, terpenoids share acommon biosynthetic origin and follow similar synthesis routes All terpenoids are derived from the repetitive fusion of isopren(C5 H8 ) units, and the number of isoprene units determines theirclassication. In higher plants, the biosynthesis begins with thegeneration of isopentenyl pyrophosphate (IPP), the principalprecursor, through the mevalonate (MVA)/3-hydroxy-3-methyl-glutaryl-CoA reductase (HMGR) pathway or the 2-C -methyl-D-erythritol 4-phosphate (MEP)/1-deoxy-D-xylulose 5-phosphate(DOXP)/non-MVA pathway. The IPP is isomerized to its allylicisomer dimethylallyl pyrophosphate (DMAPP). The consecutivecondensation of IPP and DMAPP units leads to the formation of prenylated pyrophosphates, the immediate precursors of thedifferent terpenoid classes (Fig. 1). These condensation reactionare catalyzed by specic prenyltransferases which are nameaccording to the product they generate. Specic terpenoidsynthases then modify these precursors to terpenoid skeleton

(Chen et al., 2011), which are subsequently decorated by variousenzymatic modications to generate the structural and functionaldiversity of terpenoids. Plants also exhibit a clear compartmentalization for the generation of IPP and the synthesis of terpenoids(Croteau et al., 2000; Vranov a et al., 2012; Fig. 1).

Here, we focus on plant triterpenoids, comprising primarymetabolites, such as the phytosterols and the brassinosteroidhormones, and secondary metabolites, such as the saponins. TheIPP for triterpenoid biosynthesis is generated through the cytosol,peroxisome and endoplasmic reticulum-localized MVA pathway.The ‘head-to-tail’ condensation of two IPP units with a DMAPPunit yields the C15 farnesyl pyrophosphate (FPP), two of which

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subsequently fuse ‘head-to-head’ to generate the linear C30

triterpenoid precursor, squalene. This compound is furtherepoxidized to 2,3-oxidosqualene (Augustin et al., 2011), which,in turn, is typically cyclized by specic oxidosqualene cyclases(OSCs) to tetra- or pentacyclic structures to form thedammarenes, tirucallanes and phytosterols, or the oleananes,ursanes, lupanes and taraxasteranes, respectively (Phillips et al.,2006). In some plant species, 2,3-oxidosqualene can also becyclized to mono- and tricyclic triterpenoid backbones (Xueet al., 2012; Fig. 2).

The cyclization of 2,3-oxidosqualene forms the branch pointbetween primary and secondary triterpenoid metabolism. Cyclo-artenol, formed by the cycloartenol synthase (CAS)-mediated

cyclization of 2,3-oxidosqualene, is the committed precursor fo

phytosterol biosynthesis. Higher plants synthesize a mixture ovarious sterols from cycloartenol, which can accumulate in a freform or as estersor glycosides(Nes, 2011).In turn, thephytosterolscholesterol, campesterol andsitosterol arethe precursors of theC27 ,C28 and C29 brassinosteroid hormones, respectively (Fujioka & Yokota, 2003). In addition, cholesterol can also undergo a series of oxygenations and glycosylations to form C27 secondary metabo-lites, the steroidal saponins (Dewick, 2001). The other cyclizationproducts of 2,3-oxidosqualene form committed precursors forsecondary metabolite biosynthesis (Fig. 2). These cyclized precursors are further oxidized by one or many cytochrome P450(CytP450s) to form sapogenins. In some plants, such as the birch

PDC

AACT

HMGS

HMGR

MVK

PMK

PMD

pyruvate

acetyl-CoA

acetoacetyl-CoA

3-hydroxy-3-methylglutaryl-CoA

mevalonic acid

5-phosphomevalonate

5-diphosphomevalonate

IPP

DXS

DXR

CMS

CMK

MDS

HDS

HDR

1-deoxy-D-xylulose 5-phosphate

2-C-methyl-D-erythritol 4-phosphate

4-(cytidine 5’-diphospho)-2-C-methyl-D-erythritol

2-phospho-4-(cytidine 5’-diphospho)-2-C-methyl-D-erythritol

2-C-methyl-D-erythritol 2,4-cyclodiphosphate

(E)-4-hydroxy-3-methylbut-2-enyl diphosphate

IPP

pyruvate

PLASTIDCYTOPLASM

DMAPP DMAPP

IPP

DMAPP

glyceraldehyde-3-phosphate+

FPPS+2x IPP

FPP

GGPP

FPPS+

2x IPP

FPP

cytokinin

ubiquinone

MITOCHONDRIA

IDI

IDI

GPPS+

1x IPP

GPP

GGPP

hemiterpenes

monoterpenes

sesquiterpenes

diterpenes

squalene

triterpenes phytoene

tetraterpenes

PSY+

GGPP

isoprene

polyterpenes

gibberellins

carotenoids

chlorophyllstocopherols

apocarotenoids

phytosterols

saponins

brassinosteroids

geraniol

terpenoidindole

alkaloids

prenylation of proteins

GGPPS

+3x IPP

GGPPS+

3x IPP

ER

5-phosphomevalonate

IPP

DMAPP

IDI

PEROXISOME

FPPFPPSQS

+FPP

ER

squalene

MITOCHONDRIAAND PLASTID

Fig.1 Terpenoid biosynthesis in plants.Two distinct pathwaysfor the synthesis of the universal precursors isopentenyl pyrophosphate (IPP) and dimethylallylpyrophosphate (DMAPP) exist in plants: the cytoplasm-, peroxisome-, mitochondria-, plastid- and endoplasmic reticulum (ER)-localized mevalonate (MVA)pathway (purple) and the plastid-localized methyl erythritol phosphate (MEP) pathway (blue). [Correction added after online publication 14 May 2013;replacement gure andtextin precedingsentencecorrectlyindicatesthatPDC enzymeis locatedin themitochondriaandplastids andnot inthe cytoplasm.] Theprenyltransferases (orange) generate the immediate precursors for the different terpenoid classes (green). Dotted arrows indicate multiple reactions. Dottedgrey boxes indicate the subcellular localization of the pathway. Grey arrows indicate metabolites that are transported between subcellular compartments.AACT, acetoacetyl-CoA thiolase; CMK, 4-diphosphocytidyl-methylerythritol kinase; CMS, 4-diphosphocytidyl-methylerythritol synthase; DMAPP,dimethylallyl pyrophosphate; DXR, deoxyxylulose 5-phosphate reductoisomerase; DXS, deoxyxylulose 5-phosphate synthase; FPP, farnesyl pyrophosphate;FPPS, FPP synthase; GGPP, geranylgeranyl pyrophosphate; GGPPS, GGPP synthase; GPP, geranyl pyrophosphate; GPPS, GPP synthase; HDR,hydroxymethylbutenyl4-diphosphatereductase; HDS, hydroxymethylbutenyl4-diphosphatesynthase; HMGR,3-hydroxy-3-methylglutaryl-CoA reductase;HMGS, 3-hydroxy-3-methylglutaryl-CoA synthase; IDI, isopentenyl diphosphate isomerase; IPP, isopentenyl pyrophosphate; MDS, methylerythritol2,4-cyclodiphosphate synthase; MVK, mevalonate kinase; PDC, pyruvate dehydrogenase complex; PMD, 5-diphosphomevalonate decarboxylase; PMK,5-phosphomevalonate kinase; PSY, phytoene synthase; SQS, squalene synthase.


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2,3-oxidosqualene

squalene

SQE

acetyl-CoA

mevalonatepathway

O

bAS

β-amyrinOH

aAS

α-amyrinOH

LUP

lupeolOH

DDS

dammarenediolOH

OH

LUP

taraxasterolOH

cycloartenol

lanosterol

LAS

CAS

OH

OH

tirucallanesynthase

cholesterolsynthase

tirucallane

cholesterol

OH

OH

THAS

MRN

OH

thalianol

steroidalsaponinsandbrassinosteroids

sterols

O

marneral

SHChopane

cucurbitanesynthase cucurbitane

OSCs

SCs

OH

OH

OH

CYP716A47

protopanaxadiol

CYP716A53v2

protopanaxatriol

OH

OH

OH

OH

CYP716A12CYP716A15CYP716AL1

OH

COOH

ursolic acid

CYP716A12CYP716A15CYP716AL1

OH

COOH

betulinic acid

CYP716A12CYP716A15CYP716A17CYP716AL1

CYP88D6CYP93E1CYP93E2CYP93E3

CYP72A154CYP72A63CYP51H10

11-oxo- β-amyrinOH

O

HOH 2COH

24-hydroxy- β-amyrin

HOH 2C

OH

30-hydroxy- β-amyrin

OH

COOH

oleanolic acidOH

O

OH

12,13-epoxy dihydroxy oleanane

CytP450s

UGTs

UGT71G1UGT74M1UGT91H4

UGT73C11UGT73F3UGT73K1UGT73P2

SAPONINS

CYP708A2

thalian-diol

CYP705A5

desaturated thalian-diol

OH

OH

OH

OH

CYP72A68v2CYP72A61v2

soyasapogenol B gypsogenic acidHOH 2C

OH

OH

COOHOH

COOH

Fig.2 A simplied scheme of triterpenoid saponin biosynthesis as expressed in Saccharomyces cerevisiae . Dotted arrows indicate multiple steps. Highlightedenzymes(red)andcompounds(blue)wereexpressedanddetected,respectively.aAS, a -amyrinsynthase;bAS, b-amyrinsynthase;CAS, cycloartenolsynthase;CytP450s, cytochrome P450s;DDS, dammarenediolsynthase; LAS, lanosterol synthase; LUP, lupeolsynthase; MRN,marneralsynthase;OSCs, oxidosqualenecyclases; SCs, squalene cyclases; SHC, squalene-hopane cyclase; SQE, squalene epoxidase; THAS, thalianol synthase; UGTs, UDP-dependentglycosyltransferases.



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(Betula pubescens ) and olive tree (Olea europaea ), the sapogeninsform the nal accumulating secondary metabolite, whereas, inothers, the sapogenins are glycosylated by UDP-dependentglycosyltransferases (UGTs) to generate amphipathic glycosides,the saponins (Augustin et al., 2011).

2. Regulation of terpenoid biosynthesis in plantsThebiosynthesisof terpenoids is tightly controlled inplants, as they serve many functionsin plantgrowth, developmentandresponsetobiotic andabiotic environmental factors (Tholl, 2006;Nagegowda,2010; Vranov a et al., 2012). Terpenoid synthesis occurs withinspecic tissues or at specic plant developmental stages(Nagegowda, 2010). For instance, many plant species haveglandular trichomes, specialized structures for the synthesis of secreted terpenoid natural products (Lange & Turner, 2013). Thetriterpenoid saponin glycyrrhizin accumulates only in the under-ground organs, stolons and roots of licorice (Glycyrrhiza ) plants(Seki et al., 2008). Avenacins, the bioactive saponins in oat ( Avena

sativa ), accumulate only in the root epidermis, where they provideresistance to phytopathogenic fungi (Haralampidis et al., 2001).Such specic terpenoid synthesis is mainly regulated at thetranscriptional level. The avenacin biosynthesis genes are tightly co-regulated and expressed exclusively in the root epidermis inwhich the avenacins accumulate (Haralampidis et al., 2001; Qiet al., 2006; Field & Osbourn, 2008).

In addition to this spatiotemporal regulation, induced terpenoidbiosynthesis is often observed in response to herbivore feeding,pathogen attack or various abiotic stresses (Nagegowda, 2010;Vranov a et al., 2012). For instance, 7 d after Spodoptera littoralis larvaefedonMedicago sativa leaves, thetotal saponin content of thedamaged foliage increasedby 84%, causing a deterrenteffecton thelarvae. Accordingly, larvalperformance was reduced whenforced tofeed on the damaged leaves (Agrell et al., 2003, 2004). Theincreased accumulation or release of terpenoids in response tovarious (a)biotic stresses is often mediated by an increasedtranscriptional activity of the specic terpenoid biosynthetic genes(Tholl, 2006; Nagegowda, 2010). This transcriptional response iscontrolled by a complex signaling cascade in which jasmonatehormones (JAs) play a crucial role. Hence, the treatment of plantsor plant cell cultures with JAs often causes transcriptional andmetabolic changes comparable with pathogen or herbivore attack.The exposure of Medicago truncatula cell suspension cultures tomethyl jasmonate (MeJA) leads to increased saponin accumula-

tion, as a consequence of transcriptional activation of the saponinbiosynthetic genes (Suzuki et al., 2005).The concerted transcriptional activation of entire secondary

metabolic pathways by JAs is conserved across the plant kingdom.However, downstream of the conserved JA perception and initialsignaling cascade, species-specic transcriptional machineries existthat regulate the transcriptional activity of the specic biosyntheticgenes (Pauwelset al., 2009; Pauwels & Goossens, 2011; De Geyteret al., 2012). A few transcription factors regulated by the JA signaling cascade that activate the transcription of (sesqui)terpe-noidbiosynthetic geneshavealready beencharacterized (De Geyteret al., 2012), but none for triterpenoids so far. It should be noted,

however, that JAs are not the only regulators of terpenoidmetabolism in plants and that complex cross-talk between variousstress- and development-related signaling cascades occurs (DGeyter et al., 2012).

In addition to the transcriptional, developmental and spatio-temporal modulation of terpenoid biosynthetic genes, post-translational regulatory mechanisms also exist in terpenoidbiosynthesis. The activity of HMGR, the enzyme that catalyzethe key regulatory step of the MVA pathway, is controlled at theprotein level through the action of protein phosphatase 2A (Leivaet al., 2011) or by the E3 ubiquitin ligase SUD1 (Doblas et al.,2013).

3. Bioengineering of terpenoids in planta

Because of their strict regulation, most terpenoids are produced invery small amounts in their natural sources. The low yield makeextraction expensive, which is eventually reected in their markevalue. Consequently, there is a wide gap between demand and

supply of terpenoids, which hampers their widespreadapplication.The classical approach to ensure a constant or improved yield is theselection and propagation of high-producing cultivars or theproduction and/or elicitation of (transgenic) plant (cell) cultures(Zhao et al., 2005; Georgiev et al., 2009, 2012; Lambert et al.,2011; Lim & Bowles, 2012; Wilson & Roberts, 2012). Ourgrowing understandingof terpenoidbiosynthesis, togetherwiththedevelopment of functional genomics and systems biology toolkitshas enabled the metabolic engineering of whole plants and plantcultures to enhance productivity and alter terpenoid distributionin planta (Roberts, 2007; Dudareva et al., 2013).

As terpenoid biosynthesis is strictly regulated and often controlled by specic transcription factors, one way to increasproductivity is to modulate the expression of such or otherregulatory factors (Broun, 2004; De Geyteret al., 2012).However,despite the identication of transcription factors that steer thebiosynthesis of terpenoids, the overexpression of a single transcription factor often does not lead to a higher production of thecompounds. For instance, the overexpression of ORCA3 , an APETALA2/ETHYLENE RESPONSE FACTOR (AP2/ERF)transcription factor thatcontrols theexpressionof severalterpenoidindole alkaloid (TIA) biosyntheticgenes, is not sufcient to induceTIAproduction in Catharanthus roseus cell cultures, indicating thatonly a part of TIA biosynthesis is under the control of thitranscription factor (van der Fits & Memelink, 2000). Hence,

further elucidation of thecomplex signalingcascades that lead to anincreased accumulation of terpenoids is mandatory for large-scalmetabolic engineering of terpenoid productionusing transcriptionfactors. To date, in planta triterpenoid engineering has beenhampered by the lack of knowledge about the regulatory mechanisms controlling gene expression (Sawai & Saito, 2011). Hencea challenge for future triterpenoid research will be to identifythe transcription or other regulatory factors that steer theirbiosynthesis.

A second way to increase productivity is by the specioverexpression of rate-limiting enzymes in the pathway. Theoverexpression of genes encoding enzymes such as HMGR ,




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deoxyxylulose 5-phosphate synthase (DXS ) and prenyltransferases,has been used to elevate terpenoid levels in plant tissue cultures(Degenhardtet al., 2003).Enhanced terpenoidproduction hasalsobeen observed on alteration of the subcellular localization of enzymes, presumably resulting from the uncoupling of biosynthe-sis and regulation (Bouwmeester, 2006; Wu et al., 2006; Farhiet al., 2011; Kumar et al., 2012). A single study has reported anattempt to engineer triterpenoid synthesis in tobacco (Nicotiana tabacum ) by the heterologous expression of an avian FPP synthase(FPPS ) and a yeast squalene synthase (SQS ) gene targeted to thecytoplasm or plastid. No differences in squalene accumulationcaused by specic targeting of the enzymes were observed.However, when the enzymes were directed to the trichomesthrough a trichome-specic promoter, higher squalene accumula-tion was accompanied by negative effects on plant growth andphysiology.Remarkably, theseadditional effects were not observedwhen the same genes were expressed from a constitutive viralpromoter (Wu et al., 2012). Nonetheless, this study underscoresthepotential to engineer triterpenoidsin planta by relocation of the

biosynthetic pathway and enhancement of the precursor ux, andencourages future research on this terpenoid class.In addition to enhancing terpenoid production yields, in planta

engineering has also been used as a tool to modulate the terpenoidcomposition of plants for other purposes, such as b-carotene toengineer crop nutritional value (Farre et al., 2011) and volatileterpenoid compounds to improve plant defense, pollinator attrac-tion, scent or aroma (Dudareva et al., 2013), amongst others.

III. ‘Synthetic’ terpenoid biology

1. Denition of synthetic biology concepts

Metabolic engineering was dened in 1991 as ‘the directedimprovement of production, formation, or cellular propertiesthrough the modication of specic biochemical reactions or theintroduction of new ones with the use of recombinant DNA technology’ (Bailey, 1991). Since then, metabolic engineering hasenabledspectacularadvances in theproduction of a myriadof smallcompounds, including terpenoids, particularly in microbes. Now,demands have increased and biological functions that do not existin nature are also desired. This can be achieved through syntheticbiology, which can be dened as ‘the design and construction of new biological components, such as enzymes, genetic circuits, andcells, or the redesign of existing biological systems’ (Keasling,

2008). More elaborately, synthetic biology refers to the redesign of complex natural living systems in a rational and systematic way tosimplied, predictable and controllable modules that can bemodeled and manipulated to generate industrially scalable systemswithadenedpurpose.Formanyyears,theterm‘syntheticbiology’was used to describe concepts that would be classied today asmetabolic engineering. However, the denitions are not sharp-edged,and hencemetabolicengineeringmight still beconsidered asthe simplest form of synthetic biology (Channon et al., 2008).

Based on the approach used for synthetic biology, two mainbranches, commonly referred to as ‘top – down’ and ‘bottom – up’synthetic biology, can be recognized. The top – down approach

involves the introduction of exogenous genes into a host and theengineering of its native metabolic networks to reprogram cellulabehavior by employing engineering and mathematical modelingtoolkits. The bottom – up approach utilizes the biochemical toolkitfor the de novo construction of synthetic genomes and unnaturalcomponents that behave in an analogous manner to their naturalcounterparts, and thereby allows the genesis of articial livinsystems. The top – down approach of metabolic engineering for theproduction of useful products pertains to one of the mostestablished concepts in the eld of synthetic biology. Metabolicengineering combines transgene expression with the analysis ometabolic networks to optimize genetic and regulatory processewithin cells for the production of a desired product. Metabolicengineering in a heterologous host may also involve the mathematical modeling of the host’s native metabolic networks tocalculate the yield of the desired product, the measurement ofmetabolic uxes to pinpoint parts of the network that constrainproduction,genetic engineering of thehost network to relieve theseconstraints and modeling of the modied network to calculate the

product yield until an industrially applicable level is obtained(Koffas et al., 1999).Contrary to cell-based synthetic biology, in which the cell’s

growthand survival objectives might interfere with theengineeringobjective, that is, the production of a desired compound, cell-free‘in vitro synthetic biology’ provides a bottom – up platform, inwhich all available resources are concentrated on a user-deneobjective, which could eventually result in improved productionsystems (Harris & Jewett, 2012). A cell-free environment is highlexible and devoid of genetic regulation or transport barriersfacilitating substrate addition and product purication.

Alongside the engineering of organisms for enhanced produc-tion, synthetic biology also aims to create novel compounds withuseful properties. One way to achieve this is by ‘combinatoriabiosynthesis’, which allows the generation of new-to-naturcompounds through the assembly of genes from different organ-isms, but catalyzing reactions in related pathways in a native oheterologous host, thereby establishing new enzyme – substratecombinations in vivo (Julsing et al., 2006). An alternative way tocreate novel compounds is by ‘directed evolution’ or ‘enzymengineering’. Theconcept of directedenzyme evolutionmimics theprocess of natural evolution and employs a set of methodologies tenhance or modifythefunctionof a progenitor enzymetoacceptanunnatural substrate or to catalyze a new biosynthetic reaction,thereby resultingin theformationof novelproducts (Dalby, 2011).

Obviously, this concept can also be used in metabolic engineeringfor enhanced production by improving enzyme performance withits natural substrates.

2. Metabolic engineering and microbialbiosynthesis of plantterpenoids

Compared with plant production systems, microorganisms areattractive alternatives as heterologous hosts because of their rapidoubling time, robustness under process conditions, ease ofscalability, simplicity of product purication because of theabsence of competing contaminants and cost-effectiveness



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resulting from the conversion of inexpensive feedstock to valuablecompounds (Zhang et al., 2011). The choice of a suitable host (or‘chassis’) is critical and should be based on multiple factors,including the chemical nature and complexity of the product to besynthesized, the genetic amenability of the host, the intrinsicavailability of precursors for product biosynthesis, the codon usagebias of the host, the need for post-translational modications andthe feasibility to metabolically engineer the host to boost produc-tivity (Keasling, 2010). Microbial synthesis of any plant naturalproduct canbe achievedby‘precursor-mediated product synthesis’,in which an existing host pathway is altered to incorporate a heterologous pathway, or by ‘de novo synthesis’, in which new-to-host biosynthetic routes are imported, thereby avoiding feedback regulation (Chang & Keasling, 2006). After the establishment of heterologous synthesis, it is usually imperative to metabolically engineer the host to optimize the production yield and rate(Chemler & Koffas, 2008).

The colloquial hostsEscherichiacoli and Saccharomyces cerevisiae have been employed for both precursor-mediated and de novo

synthesis of mono-, di-, sesqui-, tri- and tetraterpenoids (Misawa,2011), with artemisinic acid, theprecursor of theantimalarial drug artemisinin, as theshowcase forplant-derived terpenoids(Keasling,2012). The prokaryotic E. coli has an inherent MEP pathway andthe eukaryotic S. cerevisiae has the MVA pathway to produce IPPand its isomer DMAPP. Theoretically, terpenoid biosynthesis canbe incorporated into these hosts by expressing the corresponding genes, but low yields may be obtained because of the limitedintracellular IPP pool. The IPP and subsequent precursor levelshave been supplementedbymetabolicengineeringof: (1) theMVA pathway inE. coli (Camposet al., 2001); (2) the MEP pathway andprenyltransferases in E. coli (Kajiwara et al., 1997); (3) the MVA pathway by a feedback regulation-decient HMGR in S. cerevisiae (Ro et al., 2006); (4) the MVApathway by decreasing downstreamenzymes to accumulate precursors in S. cerevisiae (Paradise et al.,2008); (5) the global transcription factor regulating sterol biosyn-thesis in S. cerevisiae (Davies et al., 2005); and (6) protein scaffoldsfor the MVA pathway in S. cerevisiae (Dueber et al., 2009; Fig. 3).

Alongside targeted engineering, global approaches have beenapplied to improve theterpenoidpathway ux inmicrobialhosts.A ‘chromosomal promoter engineering’ strategy was used to expresssome of the endogenous MEP genes from a strong bacteriophageT5 promoter in an E. coli strain harboring b-carotene biosyntheticgenes, resulting in the enhanced production of b-carotene relativeto the parental strain (Yuan et al., 2006). Similarly, a ‘global

transcription machinery engineering’ on the rpoD gene encoding r 70 , the primary sigma factor, resulted in increased lycopeneproduction in E. coli (Alper & Stephanopoulos, 2007).

Once precursor synthesis has been optimized, another majorhurdle to overcome is to achieve functional expression of thepathway genes downstream of the precursor, particularly CytP450s. Plant CytP450s are endoplasmic reticulum-localizedenzymes with a prerequisite fora CytP450 reductase(CPR) partnerforefcient functioning (Podust & Sherman, 2012). In this regard,S. cerevisiae , with its native CytP450s and CPR, has an advantageover E. coli for the expression of complex terpenoid pathways(Hamann & Møller, 2007). Nevertheless, plant CytP450s

supplemented with a plant CPR have been successfully expressein both E. coli and S. cerevisiae (Arsenault et al., 2008).

Saccharomyces cerevisiae has already been employed for theexpression of triterpenoid saponin biosynthetic genes. Through itsnative ergosterolbiosynthesis,S. cerevisiae produces oxidosqualene,the precursor of saponins. In engineered strains optimized toaccumulate oxidosqualene, different OSCs and CytP450s havebeen expressed, mainly for their functional characterization(Augustin et al., 2011; Fig. 2). Engineering efforts have beenlimited to the production of b -amyrin only. Through a conven-tional pathway engineering approach, a nal titer of 6 mg l1 wasdemonstrated in an S. cerevisiae strain expressing a b-amyrinsynthase (bAS ) from Artemisia annua (Kirby et al., 2008).Subsequent to a genotype-to-phenotype linking study, a 500%improvement in b-amyrin production was achieved by overex-pression of the native genes, ERG8 , ERG9 and HFA1, in anS. cerevisiae strain expressing a Pisum sativum bAS , resulting in a nal titer of3.93 mg l 1 (Madsenet al.,2011).The b-amyrin levelsproduced by the parent strains in the above reports reect the

cyclization efciency of the enzymes employed. Therefore, bemploying a more efcient bAS (or any other saponin biosyntheticgene), followed by targeted and/or global engineering, it should bepossible to further enhance b-amyrin (or triterpenoid) levels.

The b-amyrin-producing S. cerevisiae strains have been utilizedas a tool for the in vivo expression and characterization of novelCytP450s. The co-expression of a CytP450 with a plant-derivedCPR resulted in the generation of yeast strains producing differensapogenins. Theexpressionof M. truncatula CYP716A12 , togetherwith the Lotus japonicus bAS and the L. japonicus CPR , resulted inthe production of oleanolic acid in yeast (Fukushima et al., 2011;Fig. 2). b-Amyrin has also been modied to natural and raretriterpenoids by the combination of multiple CytP450s in yeast.Theexpressionof M. truncatula CYP72A68v2 and CYP93E2 intheoleanolic acid-producing strain resulted in the production ofgypsogenic acid and 4-epi -hederagenin, respectively (Fukushima et al.,2013).Inadditionto b-amyrin-producingstrains,a -amyrin-,lupeol- and dammarenediol-producing yeasts have beenemployed for the functional characterization of CytP450s. TheM. truncatula CYP716A12 also catalyzes the C-28 oxidations ofa -amyrin to ursolic acid and lupeol to betulinic acid in yeast(Fukushima et al., 2011). Similarly, the C-6 and C-12 hydroxy-lations of dammarenediol by CYP716A53v2 and CYP716A47 ,respectively, have been demonstrated in yeast (Han et al., 2011,2012).

To complement metabolic engineering, synthetic biology offersa plethora of tools through the generation of minimal hosts,standard biological parts, regulatory elements, vectors, assemblmethods and in silico computer-aided design tools (Keasling,2012). The rst and main requirement for the production of any natural product is theavailability of a robusthost. Syntheticbiology facilitates the generation of ‘minimal hosts’ that contain only thegenes essential for their growth to synthesizemacromolecules fromsimple and inexpensive feedstock. Minimal hosts of E. coli havebeen generated with c . 15% genome reduction by the deletion of non-essential genes (Posfai et al., 2006). For S. cerevisiae , thesynthetic yeast genome project Sc2.0 aims to design fully syntheti




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minimized hosts without transposable elements and telomericsequences, with relocated tRNAs and with site-specic recombi-nation sites incorporated into the genome. Two partially syntheticS. cerevisiae chromosomes with genome reductions of 15 – 20%

have been generated and successfully reincorporated (Dymondet al., 2011). The Streptomyces avermitilis linear chromosome wasreduced to 81.46% of the wild-type chromosome by stepwisedeletion of a region of > 1.4 Mb, including genes coding for thesynthesis of all endogenous secondary metabolites. Theminimizedstrain was able to produce artemisin precursors on expression of a synthetic codon-optimized A. annua amorphadiene synthase gene(Komatsu et al., 2010). In addition, the feasibility of generating completely articial synthetic hosts with a desired set of genes hasbeen demonstrated by the cloning of a chemically synthesized andassembled Mycoplasma genitalium genome in S. cerevisiae (Gibsonet al., 2008).

Most often metabolic engineering focuses on the maximizationof the production of a nal compound with less attention to thebehavior of intermediates. Contrary to this, the bottom – upsynthetic biology approach allows the deconvolution of metabolic

pathways to independent parts that are optimized for host-specicexpression, and are subsequently incorporated rationally to buildproduction modules. The repositories of functional parts (pro-moters, ribosomal binding sites, protein domains, terminators,etc.), generated within synthetic biology initiatives, facilitate theassembly of metabolic pathways (Boyle & Silver, 2012). Twdepositories with codon-optimized parts for pathway engineeringin E. coli (The Registry of Standard Biological Parts, partsregistry.org/Main_Page) and terpenoid engineering in S. cerevisiae(Serber et al., 2012) have been described. Synthetic biology alsopromotes the variable expression of related biosynthetic genes tavoid metabolic bottlenecks. Robust synthetic promoter libraries

(a) (b)

(c) (d)

(e) (f)

Fig.3 Strategies employed to enhance the production of isopentenyl pyrophosphate (IPP) and terpenoids in Escherichia coli and Saccharomyces cerevisiae .(a) Expression of the S. cerevisiae mevalonate (MVA) pathway in E. coli. (b) Expression of rate-limiting 2- C-methyl- D-erythritol 4-phosphate (MEP) enzymesin E. coli. (c) Expression of a truncated form of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGR) in S. cerevisiae . ER, endoplasmic reticulum. (d)Downregulationof endogenous sterolbiosynthesisto accumulate terpenoid precursors in S. cerevisiae . FPP,farnesyl pyrophosphate. (e)Expressionof a mutantversion (upc2-1 ) of the global transcription factor (UPC2) upregulates the expression of the native sterol biosynthesis genes in S. cerevisiae . (f) Proteinscaffolding to prevent rate limitation in S. cerevisiae by the spatial organization of rate-limiting sterol biosynthetic enzymes in a modulated ratio. AACT,acetoacetyl-CoA thiolase; HMGR, 3-hydroxy-3-methylglutaryl-CoA reductase; HMGS, 3-hydroxy-3-methylglutaryl-CoA synthase.



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with denedpromoterstrengths enablemodular gene expressioninbacteria and yeast (Hammer et al., 2006; Nevoigt et al., 2006).Tunable intergenic regions that generate mRNA secondary structures and RNase recognition sites have been employed forthe differential stabilization of segments of mRNA encoding multiple enzymes in the form of operons (Peger et al., 2006).Synthetic protein scaffolds that are particularly efcient inovercoming rate-limiting steps have been generated to increaseux through metabolic pathways by tethering enzymes together(Dueber et al., 2009).

Natural product biosynthesis typically involves multigenepathways, thus implementing the necessity for the simultaneousexpression of multiple genes in a microbial chassis. Both in vitro and in vivo methods facilitate multigene assembly in E. coli andS. cerevisiae (Ellis et al., 2011; Wang et al., 2012), some of whichhave been employed to assemble carotenoid biosynthetic pathways(Shao et al., 2009; Lemuth et al., 2011). In parallel, viralmechanisms, such as internal ribosome entry sites and 2A oligopeptide sequences, have been adapted for polycistronic gene

expression (deFelipe, 2002). However, the latter tools have notyetbeen implemented for the expression of terpenoid pathway enzymes.

3. Combinatorial biosynthesis of plant terpenoids

Combinatorial biosynthesis-based reconstitution of pathways is a useful tool to generate known and novel natural products, whichcan be further modied by semi-synthesis. In its simplest form,combinatorial biosynthesis is the process of generating different,but structurally related, molecules through the assembly of genesfrom different organisms in a single host (Kirschning et al., 2007;Fig. 4a). Plants possess an immense potential for combinatorialbiosynthesis (Pollier et al., 2011). However, apart from a pioneer-ing study, in which the expression of a bacterial halogenase inC. roseus resulted in the generation of novel chlorinated TIAs(Runguphan et al., 2010), there have been no reports on a directedcombinatorial biosynthesis approach for any other terpenoid ormetabolite in plants to date. Nonetheless, the existing chemicaldiversity, together with our growing understanding of theirbiosynthesis, renders (tri)terpenoids appealing compounds forthe combinatorial generation of novel analogs. For instance, thescreening of a synthetic triterpenoid combinatorial library derivedfrom betulinic and ursolic acid led to the identication of compounds with an enhanced anti-malarial activity relative to

the parent compounds (Pathak et al., 2002).Combinatorial biosynthesis of triterpenoid saponins holds greatpotential, as they exhibit a plethora of biological activities.Bardoxolone methyl, a semi-synthetic derivative of oleanolic acid,has been clinically evaluated for the treatment of chronic kidney disease. The synthesis of bardoxolone methyl occurs throughchemicalmodicationsof thethreeactiveportions of oleanolicacidthat render the derivative biologically more potent than the startermolecule (Sporn et al., 2011). The enzymatic addition of extra functionalities to the triterpenoid backbone through combinatorialbiosynthesis could increase the number of sites that canbe accessedfor further synthetic modications (Pollier & Goossens, 2012).

A major drawback of the generation of novel moleculesin planta lies in the complexity of plant metabolite extracts and thecomplications of purifying a compound of interest from a largepool of different molecules, including compounds with similarstructures and physicochemical properties. Therefore, combinato-rial biosynthesis of plant secondary metabolites has also beeperformed in microorganisms, which lack the production ofcompounds similar to the target compound (Fig. 4b). Novelcarotenoid structures with an enhanced antioxidative activity havebeen generated in E. coli by the combinatorial expression of bacterial and plant genes (Sandmann, 2002). Recently, raretriterpenoids have been combinatorially produced in S. cerevisiae(Fukushima et al., 2013).A current obstacle to thewiderutilizationof combinatorial biosynthesis for plant-derived compounds is thelimited availability of plant genes encoding the enzymes thacatalyze the biosynthetic reactions. In the future, these bottleneckmay be solved by gene discovery in (medicinal) plants oalternatively, by directed evolution of enzymes towards novefunctions (Kwon et al., 2012).

4. Enzyme engineering or directed evolution of terpenoidbiosynthetic enzymes

Small-molecule drugs, considered to be relevant as lead moleculeoften have a high degree of chemical complexity with multiplfunctionalgroups and dened stereochemistry (Nannemann et al.,2011). In their natural source, these small moleculesaremostoftensynthesizedbyenzymes that have a high regio-andstereoselectivityhigh catalysis rate and relaxed substrate specicity. Nonethelesnatural enzymes often cannot meet the requirements of industrialchemists in terms of substrate tolerance, efciency, procestolerance and economic viability. Hence, enzymes have beenengineered by directed evolution to improve one or more of theirproperties under dened conditions (Dalby, 2011; Fig. 4c).Directed enzyme evolution has progressed tremendously latelyand it is now feasible to engineer enzymes to accept unnaturasubstrates andto catalyze regio- andstereospecicreactionswith anefciencycomparable with that of thenatural enzymes (Goldsmith& Tawk, 2012). The promiscuous nature of proteins gives theman inherent ability to generate novel or altered functions with asmall number of amino acid substitutions (Aharoni et al., 2005),andcomputational methods, such as catalytic active site prediction(CLASP) and directed evolution using CLASP: an automated ow(Chakraborty et al., 2011; Chakraborty, 2012), utilize virtual

screening for spatial, electrostatic andscaffold matching to identifytarget progenitor proteins. Enzymes catalyzing branch-pointreactions in multi-branched pathways, in which a substrate isconverted to multiple products, have a high evolvability. Inaddition, evolvable enzymes exhibit multiple mutational residuesand are ‘locally specic’ as they recognize a common motif ostructurally diverse substrates (Umeno et al., 2005).

Oxidosqualene, the immediate precursor of triterpenoid bio-synthesis, is a versatile molecule that is cyclized into multipproducts by different OSCs. Several of these OSCs are multifunctional in nature and generate multiple products in a single reaction(Phillips et al., 2006), highlighting the promiscuity, and thus




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evolvability, of theenzymes. Through directedevolution, themajorcyclizationproduct of a multifunctional OSCcouldbe redened toa specic or novel product. For other terpene synthases, this hasalready been successfully attempted. Following a site-saturationmutagenesis, the specicity of a carotenoid synthase was altered togenerate unnatural C45 and C50 backbones in E. coli (Umeno & Arnold, 2004). The product specicity of a c-humulene synthasefrom Abies grandis that cyclizes FPP to 52 different sesquiterpe-noids was evolved by site-saturation mutagenesis to generateindependent synthases, each producing one or a few productsderived from a predominant reaction pathway (Yoshikuni et al.,2006).

This evolution approach could also be extended to downstreamtriterpenoid biosynthetic enzymes, in particular the CytP450s.Triterpenoid saponin backbones are made up of 30 carbons, c . 20of which are accessible for CytP450-mediated modications, adeduced from known saponins (Dinda et al., 2010). In addition,diverse functional groups are observed at the modiable carbonspointing to the existence of specic CytP450s that catalyze thesspecic reactions. For instance, the C-11 position of manytriterpenoid backbones can be oxidized with an a - or b -hydroxy group, and a CytP450 that specically catalyzes the a -hydroxyl-ation has already been characterized (Seki et al., 2008). To date,only a fewCytP450 families involved in triterpenoidmodications

(a)

Medicago truncatula

CH 3CH 3

CH 3HOOCGlcO

CH 3 CH 3

CH 3

COOGlcOH

3-Glc-28-Glc-medicagenic acid

COOHCH 3

CH 3CH 3GlcUAGlcUAO

CH 3 CH 3

CH 3

CH 3

O

Glycyrrhiza uralensisGlycyrrhizin

CYP88D6from Glycyrrhiza

Gene discovery

Medicago truncatula

CH 3CH 3

CH 3HOOCGlcO

CH 3 CH 3

CH 3

COOGlcOH

CH 3CH 3

CH 3HOOCGlcO

CH 3 CH 3

CH 3

COOGlcOH

O

+

3-Glc-28-Glc-medicagenic acid + 3-Glc-28-Glc-11-oxo-medicagenic acid

(b)

Upc2-1p

upc2-1

ERG

IPP

2,3-oxidosqualeneMt bASCYP88D6Mt CytP450sUGT

nucleus

CH 3CH 3

CH 3HOOCGlcO

CH 3 CH 3

CH 3

COOGlc

OH

O

(c)

tHMGR

Substrate (S) Product (P)1 + P2 + P3 + P4

Multifunctional lead enzyme

Mutagenesis

Enzyme variantswith broad

substrate activity

Specificevolved enzyme

Selection

SP1

SP2

SP3

SP4

ergosterol

Fig.4 Strategies to generate novel triterpenoid saponins. (a) Combinatorial biosynthesis in the model legume Medicago truncatula which produces 3-Glc-28-Glc-medicagenic acid endogenously. The overexpression of CYP88D6, a CytP450 from Glycyrrhiza uralensis roots that produces glycyrrhizin, in M. truncatula could lead to the formation of a combinatorial product together with the naturally occurring saponins. (b) Combinatorial biosynthesis ofsaponins in a sterol-reduced Saccharomyces cerevisiae strain by the heterologous expression of saponin biosynthetic genes from M. truncatula andG. uralensis . (c) The process of directed enzyme evolution involves mutagenesis and selection for desired enzyme properties. Here, the evolution of amultifunctional enzyme with an increased reaction specicity is depicted. Glc, glucose; GlcUA, glucuronic acid; IPP, isopentenyl pyrophosphate; Mt bAS, M. truncatula b-amyrin synthase, Mt CytP450s, M. truncatula cytochrome P450 monooxygenases; UGT, UDP-glucosyltransferase.



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have been identied (Fig. 2). Through directed CytP450 evolu-tion, it should be possible to: broaden their substrate acceptanceto divergent backbones, target specic carbon positions, andspecify the functional group to be added to the triterpenoidskeleton. Such approaches have been implemented on carotenoiddesaturases that have been evolved by random mutagenesis toaccept unnatural C35 carotenoid backbones in E. coli (Umeno & Arnold, 2003).

Protein engineering based onmolecularevolutionalso serves as a tool to enhance enzymeefciencyor to abolish feedback regulationon enzymes. Through adaptive evolution, the unfavorable in vivo properties of truncated yeast HMGR were minimized for optimalfunctioning in E. coli , thereby also enhancing the nal productyield by c. 1000-fold (Yoshikuni et al., 2008). Key to directedevolution studies is a profound understanding of sequence-to-structure-to-function relationships of a protein. Integrated data-bases of triterpenoid cyclases (TTCED; Racolta et al., 2012) andCytP450s (CYPED; Sirim et al., 2009) facilitate the identicationof functionally relevant and selectivity-determining amino acid

residues within members of a protein family by extensive sequenceanalysis. Therefore, the boosting of protein engineering effortscouldenhance synthetic biology efforts in triterpenoid engineering in the future.

5. In vitro synthetic biology: an evolving tool

In vitro synthetic biology systems can comprise ‘synthetic enzymatic pathways’ (SEPs), in which puried enzymes are combinein an aqueous environment to convert a substrate to a productthrough a series of reactions. Alternatively, ‘crude extract cell-fre(CECF) systems, in which cells are grown, harvested and lysed tobtain a crude extract, can be utilized for the conversion of asubstrate to a product (Hodgman & Jewett, 2012; Fig. 5a). Thechoice between SEP and CECF is inuenced by time, cost and theneed for cellular reinforcement to support the desired network. A CECF approach, for instance, is more suited for a reactionrequiring a constant supply of energy, such as protein synthesi(Carlson et al., 2012); however, unlike SEP, CECF reactions canexhibit undesirable activities because of the crude nature of thecellular extract.

The multireaction nature of biochemical networks, low proteinconcentrations, enhanced substrate diffusion, low enzyme prox-imity and low reaction rates as a result of unbalanced enzym

activity still hamper the efciency of cell-free synthetic biologIn vitro compartmentalization (IVC) is one way of achievingproximity of reaction components. In IVC, genes are coupled to asubstrate andencapsulated in water-in-oil emulsions, together with

(a)

S B C D

E

F

GHP

Natural circuit

a b cd

e

f

gh

Synthetic enzymaticpathways

S B

a

a C

b*

b* D

c

c G

d*

d* H

g*

g* P

h

h

ab*

cd*g*h Cell lysis

a b* cd* g*h Crude-extractcell-free (CECF) system

S P

(b)

Water-in-oil emulsion

geneS

P

transcription

translation

protein

oil

water (c) (d)enzyme a

enzyme b enzyme c

scaffold

(e) (f)

enzyme aenzyme b

enzyme c

Fig.5 In vitro synthetic biologyplatforms. (a)Syntheticenzymaticpathwaysin which puriedenzymes arecombined withreactioncomponents in an aqueousenvironment to convert a substrate to a product through a series of reactions, and crude extract cell-free systems in which resources from the cell convert anexogenously provided substrate to a product. (b) In vitro compartmentalization using water-in-oil emulsions. The encapsulated water phase consists of asubstrate coupled to a gene which is transcribed and translated in vitro to generate an enzyme that can convert the substrate to the product. (c – f) Metabolicchanneling brings enzymes in close proximity with their substrate by (c) protein scaffolding, (d) tethering enzymes to a surface, (e) covalently linking relatedenzymesinto aggregates and (f) foamdispersiontechniquesin which the enzymes are encapsulated using surfactants. a,b,c,d,e,f,g,h, native enzymes; b * ,d* ,g* , synthetically modied enzymes; B,C,D,E,F,G,H, intermediates; P, product; S, substrate.




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transcription and translation machineries, to facilitate enzymesynthesis and consequent product formation (Fig. 5b). Novelenzymes have been uncovered by linking product formation togenes in a conned microenvironment through IVC (Rothe et al.,2006). IVC is also being employed as a screening approach for thedirected evolution of enzymes (Arnold & Volkov, 1999; Forster &Church, 2007). In addition to enclosing reaction components in a denedenvironment through IVC, metabolic channeling has beenemployed as an alternative to reduce substrate diffusion lengths(Idan & Hess, 2013). Protein scaffolding (Fig. 5c), surfacetetheringof enzymes (Fig. 5d),covalentlylinked enzyme aggregates(Fig. 5e) and foam dispersion of enzymes with liposomes using surfactants (Fig. 5f) have been employed to facilitate the spatialorganization of pathway components (Hodgman & Jewett, 2012).

Current applications of in vitro synthetic biology are limited toproteins, nucleic acids and small-molecule ligands. Nonetheless,these tools canundoubtedly be extended to natural product or (tri)terpenoid engineering in the future. For instance, IVC could beemployed as a tool for the directed evolution of CytP450s. A

potential hurdle is the membranous nature of CytP450s, whichprevents their solubilization in the aqueous reaction environment,but which may be overcome by the utilization of nanodiscmembranes (Denisov & Sligar, 2011). A great advantage of using in vitro synthetic biology in triterpenoid engineering is thesimplicity and ease of catalysis of precise regio- and stereospecicreactionswith a high efciencyin a relativelypure form, which may

overcome the drawbacks of chemical synthesis, metaboliengineering and product purication.

IV. Perspectives: ‘exploration of triterpenoids: theroad ahead’

Triterpenoid saponins comprise a wide range of bioactivecompounds, some of which (mainly pentacyclic triterpenoids)can be readily isolated from plant sources in considerable amountfor pharmacological studies or to serve as scaffolds for the semsynthesisof newlead bioactiveagents. Semi-synthetic derivatives othe natural pentacyclic triterpenoids oleanolic, ursolic and betu-linic acid (Fig. 6) are a thousand-fold more active than the parencompound,andhave been utilized inin vitro and in vivo studies fora broad range of clinical applications (Liby et al., 2007a; Liby &Sporn, 2012; Salvador et al., 2012). Such compounds certainly hold great potential, but many challenges remain. In thisconcluding section, we address some of the most prominent.

1. Triterpenoids that have entered clinical trials

Twotypesof pentacyclictriterpenoidderivativeshaverecentlybeenclinically evaluated. First in class was bardoxolone (CDDOFig. 6), an intravenously administered semi-synthetic derivative ooleanolic acid, which was evaluated as an anti-cancer agent ipatients with metastatic disease (Tsao et al., 2010). Following this

OH

COOH

betulinic acid

O

COOH

O

HOOC

bevirimat

OH

CH 2OH

betulin

OH

CH 2OH

dihydrobetulin

withaferin A

oleanolic acid

OH

COOH

O

COOHNC

O

CDDO

O

COOMeNC

O

CDDO-Me

O

NC

O

O

N N

CDDO-Im

O

NC

O

O

NH

CDDO-EA

OH

COOH

ursolic acidHOOC

OH

β -boswellic acidCH 2OH

OH

COOHOH

asiatic acid

OH

COOHOH

corosolic acid

OH

COOH

OH

pomolic acid

O

OH

OH

OH

OO

OH

OOH

OHOH

OH

O

OHOH

OH O

OO

OH

OHO

CHOO

O

OOH

O

O OH

O

OHO

O O

OH

CH 2OH

OH

OO

OHO

ROH

QS-21

O

OHOH

OH O

OH OHCH 2OH

QS-21-Xyl~35%R = β -D-xylose

QS-21-Api~65%R = β -D-apiose

celastrol

O

OH

O

OH

O

O

COOH

OH

O

Fig.6 Overview of the chemical structures of pharmacologically relevanttriterpenoids. The Quillaja saponin fraction(QS-21) is composed of c. 35% QS-21-Xyl and c. 65% QS-21-Api saponins. Api, apiose; CDDO, bardoxolone; EA, ethylamide; Im, imidazolide; Me, methyl, Xyl, xylose.



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study, further efforts focused on the more potent, orally admin-istered derivative bardoxolone methyl (CDDO-Me, Fig. 6) inpatientswithadvancedsolidtumors andlymphomas.Interestingly,90% of the patients showed signicant improvements in kidney function, without developing any serious adverse drug effects(Hong et al.,2012),whichpromptedaphaseIItrialinpatientswithmoderate to severe chronic kidney disease and type 2 diabetes.Unfortunately, the improvements in kidney function wereaccompanied by adverse drug effects (Pergola et al., 2011).Nonetheless, a worldwide phase III trial was initiated to accessthe long-term clinical benet of CDDO-Me in slowing theprogression of end-stage renal disease and lessening cardiovasculardeath in patients with advanced chronic kidney disease and type 2diabetes. This trial was halted in October 2012 as a result of severeadverse effects and mortality in patients taking the drug (http://www.clinicaltrials.gov/show/NCT01351675). Synthetic oleananetriterpenoids, such as CDDO and CDDO-Me, are multifunc-tional drugs with potent anti-inammatory, anti-oxidative, anti-proliferative, pro-apoptotic and differentiating effects (Liby et al.,

2007b). They probably interact with multiple targets or entireregulatory networks, rather than with single molecular targets;hence, they might be most effective in the early stages of diseasewhen a homeostatic agent is desired, contrary to an application astreatment for late-stage disease when irreversible tissue damageand cell death have occurred (Sporn et al., 2007; Liby & Sporn,2012).

The second synthetic triterpenoid to be clinically evaluated wasbevirimat (Fig. 6), a betulinic acid derivative and an orally administered, novel inhibitor of human immunodeciency virus(HIV) maturation. Bevirimat inhibits HIV type 1 (HIV-1)replication by binding to the Gag polyprotein, thereby blocking its processing and resulting in the production of non-infectiousvirions (Zhou et al., 2005). Phase I and II clinical studies withbevirimat showed dose-proportional pharmacokinetics and noserious adverse events in HIV-1-infected adults (Smith et al.,2007). However, the clinical development of bevirimat washalted in June 2010 (http://www.clinicaltrials.gov/show/NCT01026727). Bevirimat has been questioned with respect toits effectiveness when used in a combined therapeutic regimen withother drugs and with regard to the ability of HIV to evolveresistance (Malet et al., 2007; Nijhuis et al., 2007; Martınez-Cajaset al., 2008; Verheyen et al., 2010).

2. Is therea futureforbioactive triterpenoids intherapeutics?

Many triterpenoids still hold great potential as future therapeuticsin myriad applications. The synthetic oleanane triterpenoidsbardoxolone imidazolide (CDDO-Im, Fig. 6) and bardoxoloneethylamide (CDDO-EA, Fig. 6) are being studied for their ability to induce chondrogenic differentiation, which, together with theirpotent anti-inammatory effect, could serve to prevent or treatosteoarthritis (Suhet al., 2012). CDDO-Me has the potential tobedeveloped as a chemopreventive drug, as demonstrated by thedelayed tumorigenesis in mouse cancer models (Tran et al., 2013).Celastrol (Fig. 6), another oleanane triterpenoid, could be of therapeutic value for the treatment of chronic diseases, such as

asthma, arthritis, neurodegenerative diseases and cancer (Kannaiyan et al., 2011).

The natural and semi-synthetic derivatives of ursane triterpe-noids, such as ursolic, b-boswellic, asiatic, corosolic and pomolicacid (Fig. 6), have been investigated in cancer research for theianti-proliferative and apoptotic effects (Salvador et al., 2012). A phase I study with intravenously administered ursolic acidnanoliposomes showed a linear pharmacokinetic prole and goodtolerance in healthy volunteers and patients with advanced solidtumors (Zhu et al., 2013).

The betulin scaffold is also still being explored for thdevelopment of new anti-HIV agents. Betulin derivatives havebeen recently conjugated to other anti-HIV agents to generatemulti-target single agents whichcouldsimplify treatment regimensand reduce risks caused by drug – drug interactions. Hybridconjugates of betulin and dihydrobetulin (Fig. 6) with thenucleoside reverse transcriptase inhibitor 3′ -azido-3′ -deoxythymi-dine (AZT) have been found to be more potent than bevirimat(Xiong et al., 2010). Furthermore, an ointment containing the

natural triterpenoid betulinic acid is being evaluated in a phase IIstudy for the treatment of dysplastic melanocytic nevus, a likelprecursor to melanoma (http://www.clinicaltrials.gov/show/NCT00346502).

Currently, the most promising immunological adjuvant under-going clinical investigation is QS-21 (Fig. 6), a fraction of solubltriterpenoidglycosides from the soap bark tree (Quillaja saponaria ;Sun et al., 2009). It canaugment antibody and T-cell response to a variety of antigens involved in infectious diseases, degenerativdisorders and cancers. Adjuvant systems containing QS-21 incombination with other immunostimulants have been formulatedto promote protective immune responses following vaccination(Garcon & Van Mechelen, 2011). Clinical studies utilizing a QS-21 adjuvant system for a candidate malaria vaccine have advanceto phase III trials, where modest protection against clinical andsevere malaria was observed in African infants (RTS et al., 2012). Another QS-21 adjuvant system has been employed in a phase I/Istudy fora candidateHIV-1 vaccine which induced T-cell responsein seronegative volunteers, thus supporting further clinical investigation (Van Braeckel et al., 2011).

Tetracyclic triterpenoids have been hitherto less explored, butalso exhibit great therapeutic potential. Withanolides, such aswithaferin A (Fig. 6), display anti-inammatory, immunoregula-tory, anti-tumor, anti-angiogenic and chemopreventive activities(Mirjalili et al., 2009; Mayola et al., 2011; Zhang et al., 2012).

Cucurbitacins have been studied for their ability to induceapoptosis in cancer cell lines (Chen et al., 2012) and, like mosttriterpenoids, targetmultiplesignalingnetworks,highlightingtheirusefulness as cytostaticagents (R ıoset al., 2012).Theginsenosides,the tetracyclic triterpenoid glycosides from Ginseng (Panax spp.),have been demonstrated to possess anti-cancer activities throughthe modulation of diverse molecular mechanisms in various preclinical and clinical studies (Nag et al., 2012).

The multiple mechanisms by which triterpenoids can instigatecell death impede the development of resistance against them andmaintain their statusas attractive candidates fordrug development.Nonetheless, true proof-of-concept for their utility as effective




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drugs, and ultimately market blockbusters, can only be broughtabout via a series of well-designed pre-clinical studies that usetriterpenoid compounds in well-characterized models to unam-biguously establish structure-to-activity relationships. Such infor-mation can then be exploited further to semi-synthesize even moreefcacious derivatives with superior ADMET (absorption, distri-bution, metabolism,excretion, toxicity) properties. In addition, anin-depthunderstandingof themolecular mechanismsthatunderlietheir biological activities will be necessary to harness their fullpotential.

3. The need for more ‘plant’ knowledge

Inaddition to the cost and effort involved inthe drugdiscovery anddevelopment process itself, pharmaceutical companies often faceanother major challenge, which is to be able to scale up theproduction of the active principle and make the process cost-efcient, and, last but not least in the case of natural products,sustainable!

Although some triterpenoids, such as oleanolic acid, can beextracted from by-products of the olive (oil) industry, and thus areavailable in ample amounts (Pollier & Goossens, 2012), many others, such as the ginsenosides, are scarce, and extraction fromplants alone is insufcient. In addition, the triterpenoid proles of plants are variable and often inuenced by environmental factors,which mayaffect thequantity andquality of thebioactive principlethat can be extracted from the same biomass. Furthermore,triterpenoid-producing plants may have a slow growth rate or bedifcult to grow, which makes cultivation non-protable tofarmers. Even when a natural product drug canbe produced inlargeamounts in planta , there can be supply and demand imbalances,which may feed back to uctuations in cultivation acreages andyields. A metabolic engineering or synthetic biology platform may provide an alternative and sustainable prospect to agriculturalsupply by creating a complementary non-seasonal, high-quality source for valuable bioactive triterpenoids. Clearly, the develop-mentof alternative performingheterologous productionplatformswill be accompanied by multiple challenges, which need to bebalanced against the concerns about the (stability of the) marketvalue of the drug to be produced.

The artemisinin case has shown that synthetic biology can reachindustrial-scale deployment for drug production (Keasling, 2012;http://www.nature.com/news/malaria-drug-made-in-yeast-causes-market-ferment-1.12417). In the case of triterpenoids,

bioengineering may follow the beaten track established for semi-synthetic artemisinin. However, it may also involve distinct hostoptimization for large-scale triterpenoid production. Obviously,yeasts will remain potent vehicles, but microalgae or plantsamenable to culture in bioreactors and engineering technologiescertainly represent attractive alternative hosts for a triterpenoid-oriented synthetic biology program.

A major restraint to the successful bioengineering of plant-derived triterpenoids is the scarcity of indispensable knowledgeabout their biosynthesis, which hampers both plant and microbialengineering. Most triterpenoid saponins are known to accumulatein a tissue-, organ- or signal-specic manner in plants, but there is

virtually no insight into the mechanisms responsible for thispattern. Multiple OSCs catalyzing the cyclization of 2,3-oxido-squalene to different triterpenoid precursor backbones have beenisolated already, but only a handful of genes corresponding to the‘decorating’ enzymes have been identied, whereas hundredmustexistwhenconsidering thestructuraldiversity of triterpenoidsin the plant kingdom. Similarly, although the biosyntheticenzymes are mostly microsomal in nature, triterpenoids typicallylocalize to the epidermal wax layer or the vacuoles, suggesting thexistence of yet undiscovered transporter systems. Hence, there is agreat need to unravel the molecular mechanisms involved intriterpenoid saponin production in planta to assist their exogenousengineering.

Fortunately, the booming number of functional genomicstechnologies with ever-increasing resolution and coverage of thgenome, transcriptome, proteome, interactome and metabolomewill offer the necessary power to list all the possible elemeninvolved in the synthesis of plant terpenoids in the near future. Inparticular, the linking of signal- and tissue-dependentmetabolome

and transcriptome analysis will remain a powerful principle topinpoint biosynthetic genes, transporters and transcription factors.If successful triterpenoid-related gene discovery canprot fromthenumerous tools andplatforms that are meanwhile being developedin the eldof synthetic biology to reduce the cost and timerequiredto engineer biological systems, triterpenoid bioengineeringawaits abright future.

Acknowledgements

We thank Annick Bleys for help in preparing the manuscript.This work was supported by the European Union SeventhFramework Programme FP7/2007 – 2013 under grant agreementnumber 222716 – SMARTCELL. T.M. is indebted to the VIBInternational PhD Fellowship Program for a predoctoral fellow-ship. J.P. is a postdoctoral fellow of the Research Foundation-Flanders.

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