Ac ce pte d M an us cri pt © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Experimental Biology. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non- commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com Distinct metabolic pathways drive monoterpenoid biosynthesis in a natural population of Pelargonium graveolens (rose scented geranium) Matthew E. Bergmana, Angel Chavezb, Albert Ferrerb,c, Michael A. Phillipsa,d* a Department of Cellular and Systems Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada b Plant Metabolism and Metabolic Engineering Program, Center for Research in Agricultural Genomics, (CRAG) (CSIC-IRTA-UAB-UB), Campus UAB, Bellaterra (Cerdanyola del Vallès), Barcelona, Spain c Department of Biochemistry and Physiology, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain d Department of Biology, University of Toronto – Mississauga, Mississauga, Ontario, L5L 1C6 Canada * To whom correspondence should be addressed (michaelandrew.phillips@utoronto.ca) Highlight: Isotopic labeling studies indicate rose-scented geraniums biosynthesize volatiles through distinct cyclic and acyclic monoterpenoid pathways and use (+)-piperitone as an intermediate for p-menthane biosynthesis. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 2 Abstract Pelargonium graveolens is a wild predecessor to rose-scented geranium hybrids prized for their essential oils used as fragrances and flavorings. However, little is known about their biosynthesis. Here we present metabolic evidence that at least two distinct monoterpene biosynthetic pathways contribute to their volatile profiles; namely, cyclic p-menthanes such as (- )-isomenthone and acyclic monoterpene alcohols such as geraniol and (-)-citronellol and their derivatives (referred to here as citronelloid monoterpenes). We established their common origin via the 2C-methyl-D-erythritol-4-phosphate pathway but found no indication these pathways share common intermediates beyond geranyl diphosphate. Untargeted volatile profiling of 22 seed-grown P. graveolens lines demonstrated distinct chemotypes that preferentially accumulate either (-)-isomenthone, geraniol, or (-)-citronellol along with approximately 80 minor volatile products. Whole plant 13CO2 isotopic labeling performed under physiological conditions permitted us to measure the in vivo rates of monoterpenoid accumulation in these lines and quantify differences in metabolic modes between chemotypes. We further determined that p- menthane monoterpenoids in Pelargonium are likely synthesized from (+)-limonene via (+)- piperitone rather than (+)-pulegone. Exploitation of this natural population enabled a detailed dissection of the relative rates of competing p-menthane and citronelloid pathways in this species, providing real time rates of monoterpene accumulation in glandular trichomes. Keywords Essential oils, Geraniaceae, glandular trichomes, monoterpenoid biosynthesis, untargeted metabolomics, volatile profiling, isotopic labeling Abbreviations used: C:G Citronellol:geraniol ratio DMADP Dimethylallyl diphosphate EO Essential oil GC-MS Gas chromatography – mass spectrometry GDP Geranyl diphosphate GT Glandular trichomes MEP 2C-Methyl-D-erythritol-4-phosphate D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 3 MVA Mevalonate IDP Isopentenyl diphosphate D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 4 Introduction Scented geraniums (Pelargonium sp.) are an aromatic genus of glandular trichome (GT) bearing plants in the family Geraniaceae noted for their terpenoid rich essential oil (EO), a feature which has made them useful in the flavor, perfume, and fragrance industries. Several wild species, including P. capitatum, P. graveolens, and P. radens contributed to modern cultivars as a result of centuries of complex hybridization by European breeders using specimens collected around the Cape area of South Africa during the 18th and 19th centuries (Demarne and Van der Walt 1989; Tucker and Debaggio 2009; Lis-Balchin et al. 2003). These scented geraniums are close relatives to the more widely cultivated regal pelargoniums (P. domesticum) and zonal geraniums (P. x hortorum) (Loehrlein and Craig 2001; Loehrlein and Craig 2000). The term ‘Graveolens cultivar group’ is sometimes used to distinguish so-called rose-scented geraniums with clear P. graveolens heritage, but rampant hybridization has resulted in complex lineages of unclear ancestry. Commercial hybrids are widely cultivated for the perfumery, flavoring and cosmetics industries (Blerot et al. 2016), but EO from rose-scented geraniums has also attracted interest for its efficacy as an anti-microbial (Lis-Balchin and Deans 1997; Lis- Balchin et al. 1998; Nadjib Boukhatem et al. 2013) and acaricidal food preservative (Jeon et al. 2009), as a fumigant (Baldin et al. 2015; Seo et al. 2009) and for its hypoglycemic and anti- oxidant properties (Chen and Viljoen 2010; Boukhris et al. 2015; Boukhris et al. 2012). Pelargonium EO consists primarily of oxygenated C10 monoterpenoid volatiles with variable amounts of C15 sesquiterpenes. While the monoterpenoid fraction of Pelargonium EO varies according to the cultivar and season (Verma et al. 2013), it consists primarily of acyclic monoterpene alcohols geraniol and (-)-citronellol (and their aldehyde, acid, and ester derivatives, referred to collectively here as ‘citronelloid monoterpenes’), oxygenated p-menthanes such as (+)-menthone and (-)-isomenthone, and lesser amounts of olefinic hydrocarbons such as limonene and -phellandrene (Babu and Kaul 2005; Blerot et al. 2016; Karami et al. 2015) (Fig. 1). These volatile compounds are thought to accumulate in type 1 and 2 capitate glandular trichomes on the leaf surface (Boukhris et al. 2013a). Phytochemical analysis has suggested the total volatile complement of Pelargonium consists of more than 100 features, the bulk of which are terpenoids (Jain et al. 2001; Kulkarni et al. 1998; Shellie and Marriott 2003; Wang et al. 2014). D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 5 Plant breeders have focused on cultivars rich in geraniol and (-)-citronellol as they impart a pleasing rosy fragrance (Verma et al. 2013) while cultivars with a higher (-)-isomenthone content (Kulkarni et al. 1998) present minty aromas with lower market value. Wild type P. graveolens often features abundant (-)-isomenthone (Lalli et al. 2006), and breeding efforts have resulted in a shift towards strains higher in citronelloids and lower in p-menthane monoterpenes. A low citronellol:geraniol (C:G) ratio is an important determinant of geranium EO quality as well as an indicator of its geographical origin. This ratio varies with ambient temperature in field grown cultivars, but the relationship is not straightforward. Warmer months favoured citronellol and its esters over geraniol in the Graveolens group Bourbon cultivar (Rajeswara Rao et al. 1996). However, a high C:G ratio also correlates with low night time temperatures in the Graveolens G1 clone (Doimo et al. 1999). Interestingly, citronelloid dominant cultivars readily revert to a wild-type, isomenthone-rich phenotype as a result of somatic mutagenesis (Kulkarni et al. 1998; Saxena et al. 2004; Gupta et al. 2001). Thus, the C:G ratio in citronelloid rich cultivated varieties is under environmental control while the prevailing structural group (i.e. citronelloids or p-menthanes) is evidently controlled at the genetic level. Essentially all monoterpenes are derived from geranyl diphosphate (GDP), itself the product of two C5 units derived from the 2C-methyl-D-erythritol-4-phosphate (MEP) pathway in the plastid (Banerjee and Sharkey 2014; Phillips et al. 2008; Frank and Groll 2017). The MEP pathway synthesizes isopentenyl and dimethylallyl diphosphate (IDP and DMADP) from glyceraldehyde-3-phosphate and pyruvate in a 7-step process which in turn provides the precursors for the synthesis of primary terpenoid metabolites including chlorophyll and prenylquinones (Hoeffler et al. 2002; Kim et al. 2013; Liu and Lu 2016), phytohormones (Hedden and Thomas 2012; Sakakibara 2006; Nambara and Marion-Poll 2005), and carotenoids (Ruiz-Sola and Rodriguez-Concepcion 2012) in addition to a diverse suite of secondary terpenoid metabolites (Gershenzon and Dudareva 2007). IDP and DMADP can also be formed through the cytosolic mevalonate (MVA) pathway, which utilizes acetyl-CoA as a carbon source and supplies the synthesis of mainly sesquiterpenes (C15) and triterpenes (C30) (Bach et al. 1999). In some plant lineages, terpenoid secondary metabolism is associated with GTs. For example, the MEP pathway supplies monoterpene biosynthesis in GTs in members of the Geraniaceae (Blerot et al. 2016), Cannabaceae (Champagne and Boutry 2017; Booth et al. 2017), Solanaceae (Balcke et al. 2017), and Lamiaceae (McCaskill et al. 1992; Hallahan 2000). D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 6 The peppermint (Mentha x piperita) (-)-menthol pathway is currently the best characterized system for understanding monoterpene biosynthesis in GTs, an elaborate multi- step pathway spanning at least 3 subcellular compartments (reviewed in (Croteau et al. 2005; Lange 2015)). Briefly, GDP is cyclized into (-)-limonene in the plastid by (-)-limonene synthase followed by its oxidation to (-)-trans-isopiperitenol in the endoplasmic reticulum by (-)- limonene-3-hydroxylase. This intermediate reaches the mitochondria where (-)-trans- isopiperitenol dehydrogenase oxidizes it into (-)-isopiperitenone. In the cytosol, reduction of the double bond by (-)-isopiperitonene reductase yields (+)-cis-isopulegone which is then isomerized into (+)-pulegone, the penultimate precursor before (-)-menthol formation. (+)-Pulegone reduction by NADPH-dependent (+)-pulegone reductase yields (-)-menthone and less amounts of (+)-isomenthone. Reduction of these cycloketones to (-)-menthol and (+)-isomenthol, respectively, occurs in the cytosol, although (-)-menthol is the principal end product. By contrast, little is known about the biosynthesis of the corresponding compounds in Pelargonium. Peppermint and Pelargonium share two p-menthane cycloketones in common but the stereochemistry is inverted (Pelargonium accumulates (+)-menthone and (-)-isomenthone) (Ravid et al. 1994). Blerot et al. recently described four terpene synthases from P. graveolens, including a geraniol synthase and the sesquiterpene synthase responsible for 10-epi--eudesmol (Blerot et al. 2018). The precursor to (-)-isomenthone remains unknown in P. graveolens. It is likewise unclear whether citronelloid and p-menthane monoterpenes share common biosynthetic intermediates downstream of GDP in this species or whether they constitute independent pathways competing for a common pool of GDP. Here we have applied isotopic labeling studies and untargeted metabolomic analysis to a natural population of P. graveolens consisting of well- defined chemotypes which preferentially accumulate geraniol, (-)-citronellol, or (-)-isomenthone. With this approach, we observed the functional independence of p-menthane and citronelloid monoterpene biosynthesis in closely related P. graveolens genetic backgrounds and inferred previously unknown features of this biosynthetic network. For instance, unlike the related (-)- menthol pathway in peppermint, we present evidence that P. graveolens p-menthane biosynthesis utilizes (+)-piperitone as a biosynthetic intermediate in place of (+)-pulegone and uses (+)-limonene as a precursor. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 7 Results and discussion Volatile profiling in a P. graveolens natural population suggests mutually exclusive p-menthane and citronelloid specialists We compared the volatile profiles of 22 seed grown individuals from a wild population of P. graveolens to identify possible chemotypes. Gas chromatography – mass spectrometry (GC- MS) analysis of P. graveolens volatiles was carried out on trichome-rich, expanding leaf tissue. Untargeted profiling identified a total of 322 volatile features among all lines. From this group, 89 were reproducibly detected within the individual plant lines. Principal component analysis of the 22 lines was carried out using these 89 volatile compounds as input variables (Fig. 2). Approximately 77% of the variation was explained by the first component, while the second accounted for another 20%. Lines positively correlated with the first component were highly enriched in the p-menthane monoterpene (-)-isomenthone (15 lines), while lines correlated negatively with the first component demonstrated enrichment with citronelloid monoterpenes such as geraniol (2 lines), and (-)-citronellol (5 lines). Thus, the single most defining factor in the volatile profile of a given line was whether it was dominated by cyclic p-menthane type or acyclic citronelloid type monoterpenes. P. graveolens lines enriched in the citronelloid monoterpenes geraniol and (-)-citronellol (and, to a lesser extent, (-)-citronellal), varied principally along the second component (i.e., they could be distinguished by their C:G ratios). No plant line was observed which contained equal proportions of p-menthane and citronelloid monoterpenes. These four volatile compounds account for most of the differences among the volatile profiles of these lines (Fig. 2). The single citronellic acid enriched line, Pg28, differed from the other four lines comprising the (-)-citronellol clade in that it lacked the aldehyde form citronellal but instead presented significant level of the corresponding acid. A typical chromatogram of an (-)-isomenthone rich line showed that upwards of 72.2% (± 3.7%) of the total integrated peak area was due to this compound (Fig. 3), corresponding to an absolute concentration of 11.11 ± 0.91 mg∙g-1 F.W., followed by trace levels of other volatiles, most prominently β-myrcene and trans-β-ocimene, which made up 3.7% (± 1.6%) and 2.6% (± 0.8%) of the total integrated peak area, respectively. (-)-Citronellol rich lines displayed greater diversity, with (-)-citronellol comprising 35.1% (± 12.0%) of the total peak area (corresponding to 5.02 ± 0.37 mg∙g-1 F.W.), (-)-isomenthone 21.0% (± 5.7%) and the remainder contributed by multiple minor components, of which (-)-citronellal and geranial contributed the largest amount D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 8 by peak area at 16.1% (± 7.2%) and 1.7% (± 1.2%), respectively (Fig. 3). Finally, the profiles of members of the geraniol rich group consisted of approximately 50.5% geraniol (± 12.0%) (4.76 ± 0.96 mg∙g-1 F.W.), followed by 15.4% (± 10.4%) --isomenthone and 11.4% (± 3.3%) (-)- citronellol as its major components (Fig. 3). For comparative purposes, the Graveolens cultivar, derived largely from P. graveolens as well as P. radens and P. capitatum, was similarly analyzed and found, unlike the natural chemotypes, to contain more balanced levels of p-menthane and citronelloid monoterpenes. Comprehensive lists of volatile compounds in P. graveolens and its cultivars have been published previously (Jain et al. 2001; Wang et al. 2014; Shellie and Marriott 2003; Kulkarni et al. 1998) and reviewed (Blerot et al. 2016). While our results are in general agreement with these volatile profiles, we have chosen to focus on the ~6-8 volatile compounds which define differences between chemotypes and typically make up >95% of the total ion chromatogram by peak area. When hierarchical clustering was applied to these same data, the separation of (-)- isomenthone, geraniol, and (-)-citronellol rich chemotypes was evident with 15 of the 22 lines falling into the (-)-isomenthone rich category and 5 into the (-)-citronellol group (Fig. 4A). In this case, the Pg28 line clustered as a singleton within the (-)-citronellol group, while all other clusters consisted of at least two independent lines. The remaining two lines contained geraniol as their principal volatile compound. These groupings matched our principal component analysis data that showed only 3-4 volatile compounds were responsible for ~97% of the variation in the data set. The (-)-isomenthone cluster could be subdivided further, mainly due to small differences in low abundance sesquiterpenes and olefinic monoterpenes. However, the cluster height of these relationships in the dendrogram did not justify further division into smaller clusters. The entire analysis was repeated approximately six months later to determine if seasonal or other environmental factors played a role in the observed volatile profiles. However, the relative enrichments and overall compositions were essentially identical across all seed grown lines surveyed. From these observations, we conclude that P. graveolens natural populations consist of phenotypes characterized by a consistent volatile chemical profile that is stable across phenological variation and generation. Furthermore, these chemotypes are dominated either by the p-menthane monoterpene (-)-isomenthone or by one of the citronelloid monoterpene alcohols (geraniol or (-)-citronellol). An inspection of the gross characteristics of these chemotypes did not reveal obvious differences in leaf morphology (Supplemental Fig.1). Breeding efforts which D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 9 have produced commercially important varieties such as Algerian, Bourbon, and Kelkar have focused on lines enriched in citronelloid monoterpenes, and genotypic variation in the relative amounts of their acyclic monoterpene alcohols is well established (Rao 2009). However, our results demonstrate that the parental lines themselves which gave rise to modern rose-scented geranium cultivars featured distinct chemotypic groups which can be distinguished, firstly, by the presence or absence of (-)-isomenthone as the dominant volatile component and, secondly, for citronelloid rich lines, by their C:G ratios. The absence of any line with comparable levels of p-menthane and citronelloid monoterpenes suggests that in wild type plants, one pathway tends to predominate. We only observed comparable levels of p-menthane and citronelloid monoterpenes in the Graveolens cultivar hybrid line. We next examined correlations between principle volatile components and the 22 wild- type lines to infer details about their biosynthetic relationships. The heatmap in Fig. 4B indicates that in addition to the expected high abundance of (-)-isomenthone, members of the (-)- isomenthone clade also displayed higher levels of other p-menthane monoterpenes including limonene, (+)-menthone and (+)-piperitone as well as a near complete absence of (-)-citronellol and geraniol. The geraniol rich clade demonstrated a corresponding reduction in the cyclic p- menthanes limonene, (+)-menthone, and (-)-isomenthone as well as a high degree of enrichment of geranyl esters (principally formate, acetate, and tiglate) (Fig. 4B). Finally, the corresponding citronellyl esters were highly enriched in the (-)-citronellol clade, analogous to those observed in the geraniol group, and this clade was also characterized by an absence of p-menthane type monoterpenes and variable levels of (-)-citronellal. A correlation matrix generated from these data (Fig. 4C) demonstrated the co-occurrence of several groups of monoterpene volatiles according to their structural class, suggestive of membership in a common biosynthetic sequence. For instance, the p-menthane monoterpenes limonene, menthone, isomenthone, and piperitone (Fig.1) all showed a strong correlation (>0.5 Pearson’s correlation coefficient). Similarly, citronelloid monoterpenes including geraniol, (-)- citronellol, geranial, (-)-citronellal, citronellic acid, and citronellyl and geranyl esters showed a strong correlation to other acyclic monoterpenes (Fig. 4C). At the same time, p-menthane rich lines showed a strong negative correlation (< -0.5 Pearson’s correlation coefficient) with citronelloids and vice versa. The positive correlation between limonene and (-)-isomenthone D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 10 suggest the former may serve as precursor for p-menthane biosynthesis in Pelargonium, in keeping with a similar role for limonene as a precursor for p-menthane biosynthesis in the peppermint (-)-menthol pathway (Lange 2015). The structural similarity of piperitone to isomenthone (Fig. 1), along with the strong co-occurrence observed in this analysis, are suggestive of a precursor-product relationship. At the same time, the strong negative correlation between citronelloids and p-menthane in these wild-type lines indicates these two metabolic specializations may be largely mutually exclusive in natural populations. Inhibitors treatments confirm the MEP pathway supplies monoterpene biosynthesis in Pelargonium To determine the principal precursor pathway responsible for providing isoprene equivalents for monoterpene biosynthesis in P. graveolens, Graveolens cultivar plants were sprayed once per day with either an inhibitor of the chloroplast localized MEP pathway (clomazone, which is converted in planta to ketoclomazone, a potent DXS inhibitor (Matsue et al. 2006)), mevinolin, which inhibits the HMG-CoA reductase step of the MVA pathway (Alberts et al. 1980), or a control solution. The rate of synthesis of plastid-derived terpenes, as judged by 13C incorporation, should be reduced following clomazone treatment, whereas cytosolic terpenes derived from the MVA pathway should be affected by mevinolin treatment. After 72 hours of inhibitor or control treatment, plants were subjected to 13CO2 isotopic labeling assays as described above and harvested at a single time point of 6 hours. We observed decreases in the rate of incorporation of 13C into monoterpenoid end product pools when plants were sprayed with clomazone (Fig. 5), but not when treated with mevinolin or a control solution. From these observations, we conclude that the MEP pathway supplies precursors for monoterpene biosynthesis in P. graveolens. Isotopic labeling studies in intact plants reveal physiological rates of monoterpenoid volatile accumulation in P. graveolens We carried out 13CO2 labeling assays on intact plants to measure the rate of 13C incorporation into various monoterpenoid volatile components and to gain insight into their biosynthetic relationships. Identical 4-6 month old rooted cuttings of the ‘Graveolens’ cultivar D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 11 were incubated in air containing 13CO2 at 400 p.p.m. for 1 – 9 h following a 1 h adaptation phase in standard air in an environmentally controlled dynamic flow cuvette. Analysis of the resulting labeled organic extracts by GC-MS showed detectable levels of 13C in major oil components of the Graveolens cultivar such as geraniol, (-)-isomenthone, limonene, and (+)-piperitone in as little as 3 h (Fig. 6). Volatile components showing detectable label incorporation on this time scale were selected for closer analysis. Using an optimized GC-MS SIM method, we calculated the fractional labeling of each feature at each labeling time point between 0 and 9 h using the relative m/z intensities of the molecular ion cluster representing the unlabeled (M+0) and various isotopologs of each C10 volatile compound (M+1 through M+8). These data were then compared to the absolute concentration as judged by comparison to external calibration curves. The combined data allowed us to express the moles of 13C equivalents detected in each metabolite pool over time. This whole plant isotopic labeling approach permitted us to measure the rate of monoterpenoid accumulation in glandular trichomes under physiological conditions in intact plants. The volatile profile of the Graveolens cultivar consists of significant amounts of geraniol, (-)-citronellol, and (-)-isomenthone (Fig. 3) and thus provides a useful starting point to collectively evaluate the relative rates of the three major end products in a single plant line. We observed the highest rate of label incorporation into geraniol and (-)-isomenthone in this line, which became labeled at a rate of 278 and 250 pmol 13C∙mg-1 FW∙h-1, respectively (Fig. 6). This rapid rate of labeling would be consistent with a direct formation of geraniol from GDP. However, a comparable rate of label incorporation into (-)-isomenthone, which is expected to undergo a longer series of transformations from GDP was surprising. (-)-Citronellol and (+)- piperitone both showed significantly lower rates of incorporation in this hybrid line at 56 and 65 pmol 13C∙mg-1 FW∙h-1, respectively, but the lowest incorporation rate was observed for limonene at only 29 pmol 13C∙mg-1 FW∙h-1. We then applied this whole plant time course labeling approach to plants representing the three major chemotypes to observe the synthesis of p-menthane and citronelloid monoterpenes in isolation. To do this, we relied on a -cyclodextrin capillary GC column which is capable of resolving simple enantiomeric pairs. It should be noted that due to improvements in growth and labeling conditions used in wild-type labeling assays, these results cannot be directly compared D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 12 to those of the Graveolens cultivar. Differences in flux towards p-menthane and citronelloid monoterpenes were readily observed among the three main chemotypes (table 1). For instance, in p-menthane ((-)-isomenthone) enriched chemotypes, 13C label appeared in the (-)-isomenthone pool beginning at 3 h and increased at a rate of 1,719 pmol 13C∙mg-1 FW∙h-1 (Supplemental Fig. S2), whereas the flux of 13C into (-)-isomenthone in the citronellol and geraniol rich chemotype was only 218 and 70 pmol 13C mg-1 FW∙h-1, respectively. In contrast, label appeared above background levels in only 2 h in the geraniol pool of the geraniol-rich chemotype, increasing at a rate of 381 pmol 13C mg-1 FW∙h-1 (and undetectable in (-)-citronellol and (-)-isomenthone-rich lines). Quantification of other p-menthane intermediates in the (-)-isomenthone-rich strain was also feasible with this approach. Increases in label were detected in (+)- and (-)-limonene at rates of 72 pmol 13C∙mg-1 FW∙h-1 and 13 pmol 13C∙mg-1 FW∙h-1, respectively, while (+)-piperitone labeling was observed at a rate of 849 pmol 13C∙mg-1 FW∙h-1. Geraniol was present only at trace levels in this chemotype, and 13C label in this metabolite pool was indistinguishable from background levels. These observations, together with correlation data (Fig. 4), lead us to conclude that p-menthane and citronelloid biosynthesis operate independently, rely on the same GDP precursor pool, and do not appear to share any downstream intermediates. These direct metabolic data impact our understanding of how essential oil biosynthesis takes place in P. graveolens, although the interpretation is not straightforward. If limonene serves as precursor to (-)-isomenthone via (+)-piperitone, our initial expectation was that upstream intermediates should show an incorporation rate at least as high as downstream intermediates in order to sustain the needed supply. That this was not the case may be explained by several possibilities. Firstly, the precursor for (-)-isomenthone might be something other than limonene, despite strong correlation and heat map data that suggest their membership in a common biosynthetic sequence. However, these results may also be explained by significant back reactions for reversible steps, significant departure from true steady state conditions, or long range transport of certain intermediates as glycosides (Wüst et al. 1999) and their subsequent deconjugation, could also explain the observed labeling patterns. Moreover, multiple transport processes, cell types, and central metabolic pathways are involved in the biosynthesis of these labeled natural products which together could introduce unpredictable effects on label D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 13 distribution. These include the fixation of 13CO2 in photosynthetic cells via the Calvin Benson cycle, conversion to sucrose or other sugars, transport to the leucoplasts of glandular trichomes (Turner et al. 1999), partial degradation via glycolysis to form pyruvate and glyceraldehyde 3- phosphate, conversion to IDP and DMADP through the MEP pathway, assembly of GDP, and then as of yet uncharacterized steps culminating in the formation of labeled monoterpenoid end products. Unequal loss of some intermediates through volatilization may further skew these results. The transport to the subcuticular storage space of captitate glandular trichomes (Tissier et al. 2017) represents an additional step which may complicate monoterpenoid labeling, although our analytical system does not distinguish between intercellular labeled monoterpenes awaiting transport and those in the storage cavity. Finally, glycosylation and transport of some intermediates may partly contribute to these observations. While little is known regarding terpene glycoside formation in P. graveolens compared to the glycosylation of flavonoids (Boukhris et al. 2013b), conjugation of terpene alcohols to sugar residues is well known in other plant systems (Houshyani et al. 2013; Andrade et al. 2018). Future studies taking conjugation into account and diversion of photosynthate into sequestered glycoside pools will be necessary to build comprehensive models for the biosynthesis of these metabolites. Despite the inconsistencies in precursor-product labeling patterns in limited cases, these results overall provide useful insights into the kinetics of multiple processes linking primary and secondary metabolism. For example, we have shown that 13C label, starting from 13CO2, is detectable in functionalized monoterpenoid end products such as (-)-isomenthone in as little as ~2 h in illuminated plants, and less for geraniol. Previous reports of 13CO2 whole plant volatile labeling have focused on emitted monoterpenes in herbivory stressed cotton (Pare and Tumlinson 1997) or oak (Loreto et al. 1996), or isoprene emissions in oak and poplar (Delwiche and Sharkey 1993; Karl et al. 2002; Ghirardo et al. 2014; Loreto et al. 2004). However, the present report may constitute the first direct kinetic assessment of carbon flux into stored monoterpenoids in the GTs of intact plants. (+)-Limonene is the precursor to the p-menthane monoterpene biosynthesis Pelargonium The asymmetrical incorporation patterns of (+) and (-)-limonene in the (-)-isomenthone chemotype (table 1) led us to further investigate the precursor to (-)-isomenthone. Unlike D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 14 peppermint, which accumulates almost exclusively (-)-limonene as a precursor to (-)-menthol biosynthesis or lemon grass (Cymbopogon citratus) which accumulates mostly the (+) enantiomer, P. graveolens EO from the two citronelloid chemotypes features a nearly racemic mixture of the (+) and (-) forms of limonene (Fig. 7A). In the case of the (-)-isomenthone chemotype, this ratio is skewed towards (+)-limonene (63%). Most plant species typically favor one enantiomer over the other in the case of chiral natural products. However, exceptions to the rule exist. Pine produces significant quantities of (+)- and (-)--pinene (Phillips et al. 1999) for example. In this case, there is a dedicated terpene synthase responsible for each enantiomer (Phillips et al. 2003) rather than a single terpene synthase capable of producing both. Since limonene is the most abundant monoterpene hydrocarbon in P. graveolens and because it serves as precursor to the p-menthane monoterpenes in peppermint, we examined carbon flux into (+)- and (-)-limonene to determine whether the observed differences in pool size of these two enantiomers among chemotypes were paralleled by chemotypic differences in carbon flux. Percent atom labeling analysis of the two limonene enantiomers in the (-)-isomenthone rich lines demonstrated that 81% of the observed limonene flux goes through the (+) enantiomer (Fig. 7C). The citronelloid-rich lines demonstrated far lower levels of limonene overall, and the isotopic enrichment did not favor (+)-limonene to the extent seen in (-)-isomenthone rich chemotypes (Fig. 7B). The absolute rate of 13C incorporation into (+)-limonene (72 pmol 13C∙mg-1 FW∙h-1) in the (-)-isomenthone rich line was >20 times the rate of flux into (+)-limonene in geraniol rich lines, which partly reflects the smaller pool size of limonene in this line, and no flux was detected into (+)-limonene in the (-)-citronellol chemotype whatsoever (table 1). Therefore, given the correlation data above and the stereospecific incorporation of 13C into (+)-limonene, a pattern specific to the (-)-isomenthone line, (+)-limonene is currently the best candidate for the precursor to (-)-isomenthone biosynthesis in P. graveolens. Further investigation via biochemical characterization of recombinant proteins is needed to confirm this preliminary conclusion. Pulegone is not an intermediate of Pelargonium p-menthane biosynthesis We investigated whether pulegone is an intermediate in p-menthane biosynthesis in Pelargonium as it is in peppermint. We were unable to detect pulegone by GCMS analysis in scan mode. Using a dedicated SIM method for the characteristic ions of pulegone (m/z 152, 81, and 67) and D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 15 SPME adsorption to minimize background, we observed a barely detectable peak at the expected retention time of 16.28 min in Pelargonium (Supplemental Fig. S3), but this was below the limit of detection of our analysis. Furthermore, its identity could not be confirmed as pulegone as the apices of these mass traces did not align. In contrast, (+)-pulegone was readily detectable in peppermint extracts (Supplemental Fig. S3). When we compared this peak in extracts made from similar amounts of fresh tissue from each species, the unknown peak in Pelargonium was present at nearly 400 fold lower concentration (<0.3% by peak area) than the confirmed (+)-pulegone in peppermint, making it unlikely that pulegone, if indeed present in Pelargonium, plays the same role in Pelargonium that it does in peppermint. Moreover, when we made a similar comparison of the peak corresponding to (+)-piperitone in Pelargonium and peppermint, the situation was reversed: Pelargonium showed 60 fold more (+)-piperitone than peppermint per mg FW. Furthermore, the (+)-pipertitone pool in Pelargonium showed rapid labeling kinetics, confirming it is a rapidly turned over intermediate, while isotope analysis of the putative (+)-pulegone in Pelargonium was not possible due to extremely low abundance. Given these observations, we conclude that (+)-pulegone, if present at all in Pelargonium, is present at such trace levels that it is highly unlikely it participates in the biosynthesis of p-menthane monoterpenes in this species. Furthermore, the rapid labeling kinetics of (+)-piperitone and its significantly higher steady state concentrations led us to conclude that in Pelargonium, unlike in peppermint, (+)-piperitone serves as an upstream intermediate to the formation of (-)-isomenthone, while (+)-pulegone does not. Hierarchical clustering of volatiles in Pelargonium cultivars highlights the division between p- menthane and citronelloid monoterpenoid biosynthesis We analyzed the complete volatile profiles of several well-known Pelargonium hybrids and species along with the representative chemotypes described above to gain further insight into the organization of the two principal monoterpene biosynthetic networks that characterize this genus. In contrast to Fig. 4, this comparison involves more distantly related species. Similar comparisons have been carried out for chemotaxonomic purposes (Lalli et al. 2006) although molecular phylogeny of the chloroplast, mitochondrial, and nuclear genomes may be more accurate (Bakker et al. 2004; Bakker et al. 2000). Hierarchical clustering of 132 distinct volatile D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 16 compounds from 17 Pelargonium specimens representing wild species, cultivars, or chemotypes of P. graveolens demonstrated clustering that was only weakly consistent with their generally accepted taxonomic relationships (Fig. 8A and 8B). For instance, the citronellol chemotype grouped closely with P. radens due to high levels of (-)-citronellol in both, consistent with Bakker et al, but the isomenthone chemotype of P. graveolens grouped closely with P. tomentosum due to an abundance of p-menthanes in each, despite molecular approaches placing these two species much further apart than P. graveolens and P. radens. Despite the inconformity between chemotaxonomic approaches and molecular phylogeny, we nonetheless found that inclusion of a wider variety of Pelargonium species and cultivars illustrated other likely biosynthetic intermediates associated with each of the two monoterpenoid pathways. For instance, correlation analysis of the 14 most significant features suggest piperitol, piperitone, limonene, menthone, and isomenthone, which all bear a p-menthane skeleton, share a common biosynthetic pathway (Fig. 8C). On the other hand, the acyclic citronelloid monoterpenes (geraniol, neral, geraniol, (-)-citronellol, and the formate esters of geraniol and (-)-citronellol) seen in other lines are notably depleted when p-menthane skeletal types are abundant. Conversely, citronelloid monoterpenes co-occur strongly and are similarly deficient in p-menthane types. This is consistent with the overall division of these two pathways and further supports the notion that one or the other tends to predominate in a given species or cultivar while examples of comparable proportions of p-menthanes and citronelloids, as seen in the Graveolens cultivar, are the exception. The structure of the monoterpenoid biosynthetic network in P. graveolens can be partly inferred from isotopic labeling studies From these observations, we conclude that monoterpenoid biosynthesis in P. graveolens, and likely other members of this genus, can be characterized by variable contributions of two pathways which yield either cyclic p-menthane type monoterpenes such as (-)-isomenthone and (+)-menthone or acyclic monoterpene alcohols and their derivatives, described collectively here as citronelloid monoterpenes. The latter command a higher value in fragrance and flavoring industries and are generally more pleasing to the human olfactory palette. Breeders have traditionally selected for Pelargonium hybrids enriched in geraniol, citronellol, nerol, and depleted in isomenthone. We initially considered whether these cyclic and acyclic monoterpene D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 17 groups shared common intermediates, for instance through the cyclization of a non-activated acyclic precursor. Neral and (-)-citronellal (Fig. 1) possess the correct electronic and geometric configurations for direct cyclization into (+)-piperitone and (-)-isomenthone, respectively, via a hydride shift. While unusual, a similar reaction has been reported for a promiscuous squalene- hopene cyclase from the Gram-negative bacterium Zymomonas mobilis capable of converting citronellal into isopulegol in bioreactors (Siedenburg et al. 2012). However, our heat map and correlation data (Fig.s 4B and 4C) clearly show that the p-menthane and citronelloid skeletal types are largely mutually exclusive in wild type lines, a pattern which holds in cultivated hybrids as well (Fig. 8), making a direct connection between these two pathways highly unlikely. Moreover, the strong correlation we observed between flux into (+)-limonene and flux into (-)- isomenthone (Fig. 7), an effect absent in (-)-isomenthone deficient lines, supports the functional independence of these two pathways with (+)-limonene currently the best candidate for precursor to p-menthane monoterpenes in this species. We further conclude that in the glandular trichomes of P. graveolens favor p-menthane biosynthesis leading to (-)-isomenthone production over citronelloid production in their natural state, an effect likely rooted in the metabolic control of these two pathways. This conclusion is based on the significant levels of measured flux through the p-menthane pathway even in geraniol and (-)-citronellol specializing lines (table 1, Supplemental Fig. S2). In contrast, flux towards the citronelloid types in (-)-isomenthone chemotypes was virtually undetectable. The overall magnitude of flux also grossly favored (-)-isomenthone production when the calculated rates of labeling were compared between the main end products in each of the three chemotypes (1,719 pmol 13C mg-1 FW∙h-1 (-)-isomenthone in the (-)-isomenthone chemotype versus 218 and 70 pmol 13C mg-1 FW∙h-1 (-)-citronellol and geraniol in their respective chemotypes). Such a dominant role of the p-menthane pathway in determining product profiles would also be consistent with instances of spontaneous reversion of geraniol rich cultivars to isomenthone rich lines (Kulkarni et al. 1998; Saxena et al. 2004; Gupta et al. 2001). The identification of protein targets to overcome this natural tendency towards (-)-isomenthone production would be of value to breeders aiming to maximize geraniol and (-)-citronellol production, as well as their highly valued esters. Similar approaches to improving EO quality in peppermint relied on the identification of the menthofuran synthase transcript, whose protein product diverts flux towards the undesirable product (+)-menthofuran (Bertea et al. 2001). Suppression of this transcript D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 18 enabled a reduction of (+)-menthofuran content and improvement of oil quality (Mahmoud and Croteau 2003). The use of volatile profiling to define chemotypes has also been applied to oregano (Thompson et al. 2003), and these chemotypes were central to the elucidation of the biosynthetic pathway of phenolic monoterpenes in this species (Crocoll et al. 2010). The present work identifies future targets for cloning and biochemical characterization and provides a context for understanding the significance of essential oil genes identified to date. Blerot et al. (2019) recently characterized four terpene synthases from P. x hybridum, including the enzyme responsible for the formation of geraniol from GDP, but no enzyme from this genus responsible for its reduction to (-)-citronellol has yet been identified. Indeed, Wuest et al suggested that P. graveolens uses citronellyl diphosphate as a precursor to rose oxide (Wüst et al. 1999), a high value monoterpene volatile structurally similar to citronellol, and this substrate could potentially serve as the precursor to (-)-citronellol as well. A limonene synthase has similarly not yet been identified from this genus, nor has any other gene related to p-menthane metabolism. While molecular, localization, and biochemical data aimed at understanding the metabolic sequence leading to monoterpenoid formation in this species are currently limited, the metabolic data presented here provide a framework for evaluating the physiological relevance of future cloning, expression, and biochemical characterization in this species. Efforts to isolate the corresponding transcripts responsible for the metabolism of monoterpenoid volatiles in this species are currently underway. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 19 Methods and Materials Unless otherwise specified, all chemical reagents and solvents were purchased from Sigma Aldrich Canada Ltd. Plant materials and growth conditions –Wild-type P. graveolens seeds, P. tomentosum, and the Attar of Roses, Mabel Grey, and Graveolens cultivars were obtained from Fibrex Nurseries, Ltd, (Stratford-Upon-Avon, UK). P. radens, P. scabrum, P. denticulatum, P. fragrans, P. grossularioides, and the Orange Fizz, Coconut, Nutmeg, Apple, and Almond scented geranium cultivars were purchased from Richter’s Herbs (Goodwood, Canada). Wild-type P. graveolens seeds were germinated in BX M soil (ProMix, Rivière-du-Loup, Canada) supplemented with vermiculite under greenhouse conditions at 21 0C with natural lighting. A total of 22 wild-type seed grown P. graveolens individuals were obtained. All plant lines were propagated by cuttings at 6 week intervals and grown at 24 - 26 0C under neutral photoperiod with natural and supplemental lighting in the range of 200-400 mol photons ∙m-1∙s-1(or photosynthetically activate radiation, PAR). Nighttime temperatures ranged from 18 - 20 0C. All purpose Miracle Gro (NPK 24-8-16) was applied once per week. Whole plant isotopic labeling – Approximately three weeks after rooting, potted Graveolens cultivar or P. graveolens wild-type lines were labeled in a dynamic flow cuvette under physiological conditions. Cuttings were rooted in 250 mL pots in BX soil mix and grown in the greenhouse for 3-4 more weeks prior to use in labeling experiments. Labeling experiments were conducted in a custom built 2 L dynamic flow cuvette into which 4 individual potted plants fit. Air flow was maintained at 1.0 L∙min-1 using a pressurized air tank containing normal air (400 L∙L-1 CO2) for approximately 45 min, during which time gas exchange measurements were made with a Li-Cor 840a (Lincoln, Nebraska, USA) CO2/H20 gas analyzer connected to the cuvette exhaust. Light intensity, as judged by a Li-Cor 250A quantum meter, was maintained at 250 PAR using a custom light bank consisting of Cree XPE high intensity white LEDs equipped with a potentiometer and high capacity cooling fan (LEDMania, Barcelona, Spain). A mixing fan inside the cuvette ensured proper mixing of air within the chamber. The humidity was maintained at approximately 70% by passing the air through a wash bottle chilled in an ice bath, D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 20 and the internal cuvette temperature was kept between 24 - 26 0C based on thermometer readings. Once gas exchange readings indicated a near photosynthetic steady state as inferred by less than 5% variation in CO2 assimilation over 5 min (generally 45-60 min), the air source was switched to an alternate air tank in which the CO2 was 99% enriched by 13CO2 at the same concentration of 400 L∙L-1 CO2 (Linde Canada, Ltd, Mississauga, Ontario, Canada). The decay of the 12CO2 signal as detected by the inline IRGA was used to calculate the half life of the atmospheric exchange. Labeling times were corrected to the halfway point during introduction of the labeling atmosphere into the flow cuvette. Groups of four plants were labeled from 3 – 9 h in 1 h intervals. Four biological replicates were used for each time point for time course series. At the end of labeling experiments, 50 mg of tissue from the youngest 2 leaves were harvested by vortexing in 500 µL ethyl acetate containing internal standards as described below. Labeling experiments were conducted between 10 am and 2 pm to minimize diurnal effects, except where longer labeling experiments precluded this. In that case, experiments were performed from 9 am until 6 pm for the longest time points. Inhibitor treatments – For exogenous treatments, plants were sprayed at 1, 2, and 3, days before labeling. Inhibitor treatments consisted of spraying with one of the following: 150 M clomazone, 250 M mevinolin (all in 1% (v/v) dimethylsulfoxide (DMSO)), or 1% DMSO only (negative controls)). Inhibitor treated plants were labeled using a single time point of 6 hours. For a given labeling experiment of inhibitor treated plants, one plant from each inhibitor group and the negative control group were each included. These experiments were carried out over 8 days for a total of 5 replicates. Harvest and extraction of plant tissues – Extracts of volatile compounds were obtained from 50 mg fresh leaf tissue (labeled or unlabeled) steeped overnight at -20 0C in 500 L HPLC-grade ethyl acetate (Caledon Laboratory Chemicals) in a 5 mL round bottom screw cap glass extraction vial (Fisher Scientific) along with 3,7-dimethyl-1-octanol at 50 g∙mL-1 as internal standard (IS). The following day, extraction vials were vortexed at room temperature for 40 min then purified over a 0.8 mL glass column containing equal parts silica gel (60 A, 60-100 mesh) and anhydrous MgSO4. The column was pre-washed with 400 L ethyl acetate. The sample was applied to the column and eluted with an additional 200 L ethyl acetate. Extracts were shielded from light and D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 21 stored at 4 0C under seal until analyzed by GC-MS. Each wild-type line was sampled and extracted on 3 separate occasions. Volatile analysis by GC-MS – Plant volatiles were analyzed as organic extracts; 1 L purified ethyl acetate extracts of plants tissue was analyzed on an Agilent Technologies® 7890B GC system coupled to a 5977C mass selective detector utilizing electron impact ionization at 70 eV (positive mode). Extracts were analyzed on the following stationary phases: an HP-5ms capillary column (30 m length, 0.25 mm i.d., 0.25 m film thickness; Agilent Technologies), an HP- Innowax (30 m length, 0.25 mm i.d., 0.15 m film thickness; Agilent Technologies), and a Cyclodex-B column (30 m length, 0.25 mm i.d., 0.25 m film thickness; Agilent Technologies). The HP-5ms column was used for P. graveolens chemotype volatile profiling, while the Innowax column was used for label incorporation studies and the -cyclodex column was used for chiral GC-MS analysis of limonene enantiomers. For analysis on the HP-5ms column, 1 L extract was injected in split mode (1:20) with the injection port set to 225 0C. The oven conditions were as follows: 70 0C for 2 min then increasing at 0.7 0C min-1 to 100 0C and held for 3 min, 50 0C min-1 to 280 0C, with a 5 min final hold time. For analysis on the Innowax column, 1 L extract was injected in split mode (1:50) with the injection port set to 225 0C. The oven conditions were as follows: 40 0C for 4 min then increasing at 3 0C min-1 to 170 0C, 50 0C min-1 to 260 0C with a 5 min final hold time. Lastly, for the -cyclodex column, 1 L extract was injected in split mode (1:20) with the injection port set to 250 0C. The oven conditions were as follows: 70 0C for 20 min then increasing at 10 0C min-1 to 210 0C with a 5 min final hold time. For solid phase microextraction (SPME) based injections, 100 mg fresh tissue was enclosed in a headspace vial and incubated with an exposed polydimethylsiloxane fiber at 22 0C for 60 sec and then injected manually with all other settings as above. Mass data were collected according to two acquisition regimes. First, data were acquired in scan mode (m/z 50-225) with a scan rate of 5 Hz. Second, labeled tissue extracts were re- analyzed using a selected ion mode (SIM) method that detects exclusively the molecular ion and 13C labeled isotopologs of prominent volatile compounds. To accomplish this, multiple scheduled SIM windows were implemented to monitor label incorporation in the molecular ion cluster for compound classes of similar masses as follows: Olefinic monoterpenes, m/z 136-146 at 30 ms for each mass unit followed by oxygenated monoterpenes, m/z 152-166 at 21 ms per D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 22 mass unit; select sesquiterpenes, m/z 204-214 coupled with monoterpene ester components at m/z 154-164 at 15 ms per mass unit. For chiral GC-MS analysis of labelled samples, 3 SIM windows were used: Olefinic monoterpenes, m/z 136-146 at 25 ms per mass unit; oxygenated monoterpenes, m/z 152-164 with m/z 57 & 70 for internal standards at 19 ms per mass unit; the final window for esters and sesquiterpenes m/z 152-164, 204-206 at 18 ms per mass unit. Data analysis – For the analysis of GC-MS volatile data, peak integration of total ion chromatograms and extraction of mass spectra were accomplished using the Agilent MassHunter workstation (version B.07 service pack 2). Identification of features was carried out in MassHunter Qualitative Analysis based on spectral matches to the NIST2014 mass spectral library and comparison to the literature (Jain et al. 2001; Wang et al. 2014; Shellie and Marriott 2003; Kulkarni et al. 1998). All identifications were confirmed by matching retention times and mass spectra to those of in-house authentic standards except where indicated. For untargeted profiling, spectral deconvolution, peak picking, and alignment were performed using multiple independent approaches. First, raw data were deconvoluted and aligned with MassHunter Profinder (version B.08) using the top 132 volatile features reproducibly detected in 177 biological replicates of cultivars and wild-type P. graveolens lines. In parallel, a Python script was developed to facilitate peak picking from integrated peak data obtained in MassHunter Qualitative Analysis. Feature matching was ensured by base peak and retention index alignment. Principal component analysis, hierarchical clustering, and correlation analysis of all GC-MS data was carried out using the Metaboanalyst online suite of metabolomics analysis tools (Xia et al. 2015; Chong et al. 2018) and standard R packages (Galili 2015; Galili et al. 2017; Wickham 2016). Absolute quantification was performed by linear regression to individual external standard curves constructed from authentic standards and corrected for recovery of the IS. Supplementary data Fig. S1. Leaf morphology of chemotypes Fig. S2. Time course labelling time course of monoterpene volatiles in P. graveolens chemotypes Fig. S3. SPME-GCMS analysis of p-menthane volatiles from peppermint and the isomenthone rich chemotype of P. graveolens D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 23 Competing interest statement The authors declare no competing interests. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 24 Acknowledgements This work was supported by a Discovery grant provided by the Natural Sciences and Engineering Research Council (RGPIN-2017-06400, to M. P.) and by a John Evans Leadership Fund grant from the Canadian Foundation for Innovation (36131, to M. P.). 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MetaboAnalyst 3.0—making metabolomics more meaningful. Nucleic Acids Research 43, W251-W257. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 31 Tables Table 1. Rates of 13C label incorporation into monoterpenes for three P. graveolens chemotypes, as judged by linear regression of time course labeling assays (-)-Limonene (+)-Limonene Isomenthone Citronellol Piperitone Geraniol Citronellal Citronellol chemotype Slopea 0 0 217.93 465.01 136.47 0 242.03 Interceptb 0 0 -368.63 -436.01 -143.56 0 -308.15 R2 0 0 0.805 0.761 0.712 0 0.746 (Geraniol chemotype Slopea 0.11 3.50 69.68 1.69 0 380.83 0 Interceptb 0.78 -7.35 409.91 -2.97 0 515.28 0 R2 0.035 0.505 0.082 0.091 0 0.130 0 Isomenthone chemotype Slopea 12.88 71.94 1719 0 848.96 0 0 Interceptb -26.2 -158.2 -3700 0 1849.2 0 0 R2 0.871 0.955 0.965 0 0.939 0 0 a: pmol 13C∙mg-1 FW∙h-1. b: pmol 13 C∙mg-1 FW. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 32 Fig. legends Fig. 1. Chemical structures of essential oil components commonly found in the oil of Mentha sp. (boxed) and Pelargonium sp. Fig. 2. Mixed score and loading plot derived from principal component analysis of wild-type P. graveolens volatile profiles. Eighty-nine variables representing EO features (mainly monoterpenoids and a limited number of sesquiterpenes) were compared among 22 genetically distinct groups representing independent seed grown lines. Ethyl acetate extracts were obtained from multiple cuttings from each line (n = 4-6) made at different times of the year. The first two components explain 77% and 20% of the variation, respectively. Chemical structures indicate the key volatile features most associated with each group: (-)-isomenthone (15 lines), (-)-citronellol (5 lines), (-)-citronellal, and geraniol (2 lines). Fig. 3. A, principal monoterpene volatile composition associated with P. graveolens chemotypes by fractional peak area. B, summary of data shown in A as pie charts showing the mean proportion of key components in the volatile fraction of each chemotype. The fractional peak areas for each sample within a chemotype were included in this analysis (n = 6-18 per line (204 total)). p-values are based on a Student’s two-tailed t-test: ns >= 0.05, * < 0.05, ** < 0.01, *** < 0.001, **** < 0.0001. Fig. 4. A, hierarchical clustering of 22 P. graveolens wild-type lines based on volatile profiles consisting of 89 features from untargeted GCMS analysis. All but 37 of these features corresponded to monoterpenoids. Clustering was performed using the Ward algorithm and separated by Euclidean distance. B, heatmap of the 13 most significant volatile features used in the hierarchical clustering of P. graveolens lines. C, corresponding correlation matrix of the same features using 204 total samples across all 22 lines based on their Pearson correlation coefficients. At least three distinct chemotypes could be distinguished based primarily on the abundance of p-menthane and citronelloid monoterpenes. An ‘x’ signifies no statistically significant correlation. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 33 Fig. 5. Effect of inhibitor treatment on 13C label incorporation into monoterpenoid pools. The Graveolens cultivated variety, a hybrid which presents a mixed volatile profile consisting of the principal volatiles of the (-)-isomenthone, (-)-citronellol, and geraniol rich lines, was treated either with clomazone (a MEP pathway inhibitor), mevinolin (a MVA pathway inhibitor), or a control solution for 3 days and then subjected to whole plant 13CO2 labeling assays. Volatile terpenes were extracted following 6 hours whole-plant labelling. Percent atom labeling was calculated by subtracting natural isotopic abundance values obtained from unlabeled control samples. Significant differences were inferred through a two-tailed Student’s t-test (n = 5). p- values are as follows: ns >= 0.05, * < 0.05, ** < 0.01, *** < 0.001, **** < 0.0001. Fig. 6. Time course labeling of monoterpenoid pools in the Graveolens cultivar. Plants were equilibrated under a normal atmosphere consisting of 400 ppm CO2 until gas exchange measurements indicated a photosynthetic steady state, then labeled with 400 13CO2 for 3 – 8 h prior to harvest and extraction. Absolute label incorporation was calculated as the product of the fractional labeling of the metabolite pool and absolute concentration as inferred by internal standard-normalized external calibration curves established for each analyte. For comparative purposes, all labeling values were converted to pmol of 13C equivalents. Linear regressions of the resulting incorporation curves are as follows: geraniol, y = 278x – 51 (R2 = 0.892); (-)- isomenthone, y = 249x – 35 (R2 = 0.848); (-)-citronellol, y = 56x - 2.58 (R2 = 0.625); (+)- piperitone, y = 65x – 26 (R2 = 0.895); limonene: 29x - 79 (R2 = 0.757). Error bars signify the standard error of 4 biological replicates. Fig. 7. Stereochemical analysis of 13C label incorporation into limonene enantiomers in p- menthane monoterpene rich and poor P. graveolens chemotypes. (-)-Isomenthone accumulating lines are enriched in a variety of p-menthane monoterpenes, including limonene, while (-)- citronellol and geraniol rich strains are comparatively depleted in cyclic monoterpenes. A, (+)- limonene and (-)-limonene were separated on a -cyclodex capillary GC column. An extract from peppermint (M. x piperita), a known producer of mostly (-)-limonene, was included as a D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Ac ce pte d M an us cri pt 34 reference. B, Enantiomeric enrichment of limonene enantiomers among P. graveolens chemotypes as well as peppermint (M. x piperita) and lemongrass (C. citratus), a known producer of (+)-limonene. C, relative incorporation of 13C into (+)- or (-)-limonene during whole plant labeling, as judged by analysis of the molecular ion cluster at m/z 136 (M+0) through m/z 144 (M+8). Limonene content in the citronellol and geraniol chemotypes is approximately 10- fold lower compared to isomenthone chemotypes. Fig. 8. Hierarchical cluster analysis of Pelargonium cultivated varieties and species. A, hierarchical clustering of 17 Pelargonium varieties including the 3 P. graveolens chemotypes based on volatile profiles consisting of 132 features from untargeted GCMS analysis. Clustering was performed using the Ward algorithm and separated by Euclidean distance. B, heatmap of 14 characteristic volatile features used in the hierarchical clustering of P. graveolens lines. C, corresponding correlation matrix of the same features using 177 total samples across all 17 groups based on their Pearson correlation coefficients. An ‘X’ signifies a lack of statistical significance. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Figure 1. Chemical structures of essential oil components commonly found in the oil of Mentha sp. (boxed) and Pelargonium sp. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 -1 -0.5 0 0.5 1 -1.0 -0.5 0.0 0.5 1.0 -100 -50 0 50 100 -100 -50 0 50 100 Loadings 1 Lo ad in gs 2 P C 2 (2 0% ) PC1 (77%) Geraniol Rich Chemotype Isomenthone Rich Chemotype Citronellol Rich Chemotype Figure 2. Mixed score and loading plot derived from principal component analysis of wild-type P. graveolens volatile profiles. Eighty-nine variables representing EO features (mainly monoterpenoids and a limited number of sesquiterpenes) were compared among 22 genetically distinct groups representing independent seed grown lines. Ethyl acetate extracts were obtained from multiple cuttings from each line (n = 4-6) made at different times of the year. The first two components explain 77% and 20% of the variation, respectively. Chemical structures indicate the key volatile features most associated with each group: (-)- isomenthone (15 lines), (-)-citronellol (5 lines), (- )-citronellal, and geraniol (2 lines). D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Isomenthone Geraniol Citronellol Citronellal Monoterpene olefins Monoterpene esters Other monoterpenes A Figure 3. A, principal monoterpene volatile  composition associated with P. graveolens chemotypes by fractional peak area of all volatile  compounds. Box plots for (‐)‐isomenthone (I),  geraniol (G), (‐)‐citronellol (C) chemotypes as well as  the Graveolens cultivar (Grav.) are shown. B,  summary of monoterpene content from A as pie  charts showing the mean proportion of key  components in the monoterpenoid fraction of each  chemotype. The fractional peak areas for each  sample within a chemotype were included in this  analysis (n = 6‐18 per line (204 total)). p‐values are  based on a Student’s two‐tailed t‐test: ns >= 0.05, *  < 0.05, ** < 0.01, *** < 0.001, **** < 0.0001. 80% 14% 2%4% Isomenthone Chemotype 17% 55% 12% 1% 3% 10% 3% Geraniol Chemotype 24% 39% 18% 5% 9% 6% Citronellol Chemotype 11% 74% 11% 2% 3% Graveolens CV Fr ac tio n of to ta l p ea k ar ea Group Grave s CV Isomentho c emotype Geraniol chemotype Citronellol chemotype B D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Figure 4. A, hierarchical clustering of 22  P. graveolens wild‐type lines based on  volatile profiles consisting of 89 features from untargeted GCMS analysis. All but  of 37 of these features corresponded to  monoterpenoids. Clustering was  performed using the Ward algorithm  and separated by Euclidean distance. B,  heatmap of 13 characteristic volatile  features used in the hierarchical  clustering of P. graveolens lines. C,  corresponding correlation matrix of the  same features using 204 total samples  across all 22 lines based on their  Pearson correlation coefficients. At least three distinct chemotypes could be  distinguished based primarily on the  abundance of p‐menthane and  citronelloid monoterpenes. An ‘x’  signifies no statistically significant  correlation. -0.5 -1.0 0.0 0.5 1.0 0- 1- 2- 3- 4-A B C P g 32 P g 19 P g 7 P g 13 P g 33 P g 3 P g 27 P g 31 P g 10 P g 14 P g 2 P g 23 P g 1 P g 5 P g 8 P g 9 P g 15 P g 6 P g 12 P g 28 P g 4 P g 30 Independent seed grown lines Eu cl id ea n di st an ce P g 32 P g 19 P g 7 P g 13 P g 33 P g 3 P g 27 P g 31 P g 10 P g 14 P g 2 P g 23 P g 1 P g 5 P g 8 P g 9 P g 15 P g 6 P g 12 P g 28 P g 4 P g 30 Row Z-Score Limonene Geranial Piperitone Citronellyl esters Limonene Menthone Geranyl esters Citronellic acid Citronellal Olefinic monoterpenes Sesquiterpenes Geraniol Citronellol Isomenthone Menthone Sesquiterpenes Isomenthone Olefinic monoterpenes Piperitone Citronellic acid Geranial Citronellol Citronellyl esters Citronellal Geraniol Geranyl esters Li m on en e M en th on e S es qu ite rp en es Is om en th on e O le fin ic m on ot er pe ne s P ip er ito ne C itr on el lic a ci d G er an ia l C itr on el lo l C itr on el ly le st er s C itr on el la l G er an io l G er an yl e st er s Corr. -4 -2 0 2 4 D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Figure 5. Effect of inhibitor treatment on 13C label  incorporation into monoterpenoid pools. The  Graveolens cultivated variety, a hybrid which  presents a mixed volatile profile consisting of the  principal volatiles of the (‐)‐isomenthone, (‐)‐ citronellol, and geraniol rich lines, was treated  either with clomazone (a MEP pathway inhibitor),  mevastatin (a MVA pathway inhibitor), or a control  solution for 3 days and then subjected to whole  plant 13CO2 labeling assays. Volatile terpenes were  extracted following 6 hours whole‐plant labelling.  Percent atom labeling was calculated by subtracting  natural isotopic abundance values obtained from  unlabeled control samples. Significant differences  were inferred through a two‐tailed Student’s t‐test  (n = 5). p‐values are as follows: ns >= 0.05, * < 0.05,  ** < 0.01, *** < 0.001, **** < 0.0001. 0.00% 0.25% 0.50% 0.75% 1.00% % A to m L ab el lin g Control Clomazone Mevinolin *** ns *** * * D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Figure 6. Time course labeling of monoterpenoid  pools in the Graveolens cultivar.  Plants were  equilibrated under a normal atmosphere consisting  of 400 ppm CO2 until gas exchange measurements  indicated a photosynthetic steady state, then  labeled with 400 13CO2 for 3 – 8 h prior to harvest  and extraction. Absolute label incorporation was  calculated as the product of the fractional labeling  of the metabolite pool and absolute concentration  as inferred by internal standard‐normalized external  calibration curves established for each analyte. For  comparative purposes, all labeling values were  converted to pmol of 13C equivalents. Linear  regressions of the resulting incorporation curves are  as follows: geraniol, y = 278x – 51 (R2 = 0.861); (‐)‐ isomenthone, y = 249x – 35 (R2 = 0.890), (+)‐ piperitone: 65x – 1 (R2 = 0.922), limonene: 28x + 7  (R2 = 0.444). Error bars signify the standard error of  5 replicates. 0 500 1000 1500 2000 2500 3000 0 2 4 6 8 10 pm ol 13 C ·m g- 1 FW Labelling Time (h) Isomenthone Piperitone Citronellol Geraniol Limonene Series8 Series9 Series10 Series11 D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Figure 7. Stereochemical analysis of 13C label  incorporation into limonene enantiomers in p‐ menthane monoterpene rich and poor P. graveolens chemotypes. (‐)‐Isomenthone accumulating lines  are enriched in a variety of p‐menthane monoterpenes, including limonene, while (‐)‐ citronellol and geraniol rich strains are  comparatively depleted in cyclic monoterpenes. A,  (+)‐limonene and (‐)‐limonene were separated on a  b‐cyclodex capillary GC column. An extract from  peppermint (M. x piperita), a known producer of  mostly (‐)‐limonene, was included as a reference. B,  Enantiomeric enrichment of limonene enantiomers  among P. graveolens chemotypes as well as  peppermint (M. x piperita) and lemongrass (C.  citratus), a known producer of (+)‐limonene. C,  relative incorporation of 13C into (+)‐ or (‐)‐limonene  during whole plant labeling, as judged by analysis of  the molecular ion cluster at m/z 136 (M+0) through  m/z 144 (M+8). Limonene content in the citronellol and geraniol chemotypes is approximately 10‐fold  lower compared to isomenthone chemotypes. 34% 37% 63% 3% 88% 0% 25% 50% 75% 100% C itr on el lo l r ic h ch em ot yp e G er an io l r ic h ch em ot yp e Is om en th on e ric h ch em ot yp e M en th a pi pe rit a C ym bo po go n ci tra tu s % (+ )-L im on en e 16.0 16.5 17.0 17.5 18.0 D et ec to r R es po ns e Time (min) Mentha piperita P. graveolens (Isomenthone Rich Chemotype) 100% 32% 19% 0% 68% 81% 0% 25% 50% 75% 100% C itr on el lo l r ic h ch em ot yp e G er an io l r ic h ch em ot yp e Is om en th on e ric h ch em ot yp e % o f l ab el le d lim on en e A B C (-)-Limonene (+)-Limonene (+)-Limonene (-)-Limonene D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019 Figure 8. Hierarchical cluster analysis of Pelargonium  cultivated varieties and species. A, hierarchical  clustering of 17 Pelargonium varieties including the  3 P. graveolens chemotypes based on volatile  profiles consisting of 132 features from untargeted  GCMS analysis. Clustering was performed using the  Ward algorithm and separated by Euclidean  distance. B, heatmap of 14 characteristic volatile  features used in the hierarchical clustering of P.  graveolens lines. C, corresponding correlation  matrix of the same features using 177 total samples  across all 17 groups based on their Pearson  correlation coefficients. An ‘X’ signifies a lack of  statistical significance. A E uc lid ea n D is ta nc e 0- 1- M ab le G re y C V O ra ng e Fi zz C V A pp le C V N ut m eg C V P . g ro ss ul ar io id es P . x 9e fra gr an s P . s ca br um A lm on d C V P . d en tic ul at um G ra ve ol en s C V P . g ra ve ol en s (G ) P ep pe rm in t C V P . t om en to su m P . g ra ve ol en s (I) A tta r o f R os es C V P . r ad en s P . g ra ve ol en s (C ) P . g ro ss ul ar io id es A lm on d C V P . x 9e fr ag ra ns A pp le C V P . s ca br um N ut m eg C V P . d en tic ul at um M ab le G re y C V O ra ng e Fi zz C V G ra ve ol en s C V P . G ra ve ol en s (G ) P ep pe rm in t C V P . t om en to su m P . G ra ve ol en s (I) A tta r o f R os es C V P . r ad en s P . G ra ve ol en s (C ) B Row Z-Score -4 -2 0 2 4 Isomenthone Geranyl formate Other Monoterpenes Menthone Citronellyl formate Geraniol Piperitol Geranial Piperitone Citronellol Citronellal Neral C Geranial Neral Geranyl formate Citronellyl formate Other Geraniol Citronellal Citronellol Menthone Piperitol Isomenthone Piperitone Limonene Monoterpenes G er an ia l N er al G er an yl fo rm at e C itr on el ly lf or m at e O th er G er an io l C itr on el la l C itr on el lo l M en th on e P ip er ito l Is om en th on e P ip er ito ne Li m on en e M on ot er pe ne s Pelargonium species or variety -0.5 -1.0 0.0 0.5 Corr. D ow nloaded from https://academ ic.oup.com /jxb/advance-article-abstract/doi/10.1093/jxb/erz397/5556938 by guest on 18 O ctober 2019