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© 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.
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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
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MVA Mevalonate
IDP Isopentenyl diphosphate
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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).
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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).
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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.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.
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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,
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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
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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
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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
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Competing interest statement
The authors declare no competing interests.
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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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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.
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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.
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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
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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.
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Figure 1. Chemical structures of essential oil
components commonly found in the oil of
Mentha sp. (boxed) and Pelargonium sp.
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-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).
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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
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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
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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
*** *
*
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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
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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
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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.
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