Abstract
Flowers have evolved diverse strategies to attract animal pollinators, with visual and olfactory floral cues often crucial for pollinator attraction. While most plants provide reward (e.g., nectar, pollen) in return for the service of pollination, 1000s of plant species, particularly in the orchid family, offer no apparent reward. Instead, they exploit their often specific pollinators (one or few) by mimicking signals of female insects, food source, and oviposition sites, among others. A full understanding of how these deceptive pollination strategies evolve and persist remains an open question. Nonetheless, there is growing evidence that unique blends that often contain unusual compounds in floral volatile constituents are often employed to secure pollination by deception. Thus, the ability of plants to rapidly evolve new pathways for synthesizing floral volatiles may hold the key to the widespread evolution of deceptive pollination. Yet, until now the biosynthesis of these volatile compounds has been largely neglected. While elucidating the biosynthesis in non-model systems is challenging, nonetheless, these cases may also offer untapped potential for biosynthetic breakthroughs given that some of the compounds can be exclusive or dominant components of the floral scent and production is often tissue-specific. In this perspective article, we first highlight the chemical diversity underpinning some of the more widespread deceptive orchid pollination strategies. Next, we explore the potential metabolic pathways and biosynthetic steps that might be involved. Finally, we offer recommendations to accelerate the discovery of the biochemical pathways in these challenging but intriguing systems.
Introduction to Deceptive Pollination
Flowers have evolved a diverse array of strategies to secure pollination, with both visual and olfactory cues (i.e., pigmentation and scents) often proving crucial long-distance signals to potential pollinators (; ; ). Lured by visual and olfactory cues, animal visitors to flowers can be broadly categorized into three groups: non-pollinator visitors that exploit plant reward – nectar, pollen, or other tissue – but do not pollinate the flower, pollinator visitors that secure reward for their service of pollination; and pollinator visitors that are deceptively exploited by the plant without reward ().
Although by no means exclusive to orchids, deceptive pollination strategies are particularly well-developed in the Orchidaceae with an estimated one third of the family (∼10,000 species) using such strategies (). For example, the flowers of some deceptive orchids entice and then defraud their specific (one or few) insect pollinators by emitting volatiles that mimic the sex pheromones of female insects or the presence of the pollinators’ prey, oviposition sites, shelter, and rendezvous points. These volatiles can consist of commonly occurring floral compounds in unusual blends and/or as unusual compounds that are uncommon in nature (). This chemical blends likely serve as sensory private channels that promote specialized plant-pollination relationships in plants, especially in the Orchidaceae (; ). The ability of plants to rapidly evolve new pathways or to fine-tune existing pathways for synthesizing these unique floral volatiles blends may hold a key to the widespread evolution of deceptive pollination (; ). The mechanisms underpinning this evolution likely include gene duplication and divergence, convergent (and repeated) evolution, and alteration/loss of gene expression and enzyme activities ().
In this perspective, we first illustrate some examples of the diverse deceptive pollination strategies of the orchids and highlight their chemical diversity. Next, we explore the potential metabolic pathways and biosynthetic steps that might be involved in the production of the often-unusual compounds. Finally, we offer recommendations that may accelerate the discovery of the biochemical pathways in this challenging but intriguing study systems.
Volatile Diversity and Pollinator Specificity in Deceptive Orchids
Two key features characterize many of the deceptive orchid mimicry examples: (1) Floral volatiles play a pivotal role in the interaction. (2) Pollinator specificity, whereby only one or a few pollinator species are involved, is frequent. Furthermore, while morphology and pigmentation may also play important roles (; ), this pollinator specificity is often strongly controlled by chemistry. Below we explore these two themes for some exemplars of deceptive pollination (Figure 1).
FIGURE 1
Although representing just a fraction of the many cases of deceptive pollination, sexual deception is one of the best chemically known pollination system in orchids. In this highly specific system (often just one pollinator), an extraordinary diversity of plant chemicals are now confirmed as the female sex pheromone mimics. These include alkenes and alkanes, uncommon keto and hydroxycarboxylic acids, cyclohexan-1,3-diones, pyrazines, and (methylthio)phenols as active semiochemicals in various sexually deceptive orchids (
Extreme pollinator specificity has also been reported for orchids that mimic oviposition sites (
Case Studies of Candidate Floral Volatiles for Deceptive Pollination and Floral Tissue Specificity
The monoterpene alcohol, β-citronellol, in a unique blend with 2-hydroxy-6-methylacetophenone, a volatile only known from Caladenia plicata flowers (Figure 1A), play a crucial role in deceptively attracting the mate-seeking male wasp pollinators of just one species (
Flowers of the fly-pollinated Satyrium pumilum orchids emit a cocktail of six compounds (Figure 1C) containing sulfurous oligosulfides such as dimethyl disulfide (DMDS) and dimethyl trisulfide (DMTS). Emission of these volatiles is also tissue-specific, in this case to the flower spur. Both DMTS and/or DMDS are predicted to be the key olfactory cue for attracting the flesh-eating fly pollinators of Satyrium pumilum flowers (
The above examples highlight floral volatiles of known tissue specificity, and it is likely that tissue specific volatile production will characterize deceptive pollination systems generally. Indeed, tissue-specific emission of floral volatiles is a hallmark of many plants, including rewarding species (
Biosynthesis of Floral Volatiles: Challenges and Lessons for Moving Forward
There has been great progress in deciphering the biochemical and genetic processes underlying the synthesis of floral volatile classes present throughout angiosperms, such as the terpenoids, phenylpropanoids/benzenoids, and volatile fatty acid derivatives (
Unlocking the biosynthesis of floral volatiles involved in deceptive pollination systems is particularly challenging. Many of the deceptive floral scent compounds in these plants have a limited taxonomic distribution. Genetic resources (e.g., genome and transcriptome sequence databases) that can be invaluable in forward and reverse genetic approaches to elucidate biochemical pathways are rarely available. Often, these plants cannot even be grown in cultivation for a full life-cycle, and biological material has to be collected in nature during the short period of time in the year when the plants are in bloom. Nonetheless, for one recently discovered semiochemical involved in sexual deception, (S)-β-citronellol, the complete biosynthetic pathway has now been elucidated in the sexually deceptive orchid C. plicata (
Despite much interest in β-citronellol, given its sporadic but diverse taxonomic distribution in plants, its biosynthesis remained unknown until the work done in this non-model organism. Earlier work in several model plants such as tomato (
The breakthrough in the elucidation of the biosynthesis of β-citronellol in this non-model plant species was aided by several key factors: (1) Considerable relevant background research in other plants. (2) It was well-established that geraniol was a precursor of β-citronellol. (3) β-Citronellol along with the second active compound, 2-hydroxy-6-methylacetophenone were the dominant floral volatiles. (4) Production of the compound was tissue specific. (5) Thus, strategically targeted contrasting active and non-active tissue transcriptomes were produced, allowing the downstream differential expression analysis, identification of the candidate genes involved, and confirmation of gene function. This combination of just a few dominant components of floral scent (in an often simple floral bouquet) and tissue specific production are common features of the deceptive pollination examples illustrated earlier (Figure 1). Thus, differential expression of active and non-active tissue transcriptomes has the potential to rapidly aid identification of candidate genes.
Inisights Into the Biosynthesis of Semiochemicals Involved in Deceptive Pollination Systems
Motivated by the success of the elucidation of (S)-β-citronellol biosynthesis in a non-model system, here we explore the biosynthetic pathways involved in 2-hydroxy-6-methylacetophenone, (methylthio)phenols, dimethyl di- and tri-sulfide, 1-octen-3-ol, ethyl 2-methylpropanoate, and 3-methyl butanol formation (Figures 2A–F) by drawing on the literature to establish some plausible hypotheses for the biosynthesis of some compounds involved in deceptive pollination.
FIGURE 2

A subset of volatile attractants involved in deceptive orchid pollination and their potential biosynthetic pathways. (A) Formation of 2-hydroxy-6-methylacetophenone (2) using one acetyl-CoA and four malonyl-CoA starter units via a polyketide synthase pathway involving aldol condensation, reduction, tautomerization, and decarboxylation/dehydration reactions. Involvement of polyketide synthase (PKS) is indicated. (B) Formation of the (Methylthio)phenols, 2-(methylthio)phenol (3), 2-(methylthio)benzene-1,4-diol (4), 4-hydroxy-3-(methylthio)benzaldehyde (5), and 4-(hydroxymethyl)-2-(methylthio)phenol (6) via sulfhydryl/thiol (-SH) methylation of sulfhydryl-containing precursors. Involvement of S-methyltransferase (SMT) and O-methyltransferase (OMT) is indicated. (C) Formation of dimethyl disulfide (7) and dimethyl trisulfide (8) via auto-oxidation of methanethiol. The action of C-S lyase activity on methionine produces α-ketobutyrate, ammonia, and methanethiol. Involvement of methionine gamma-lyase (MGL) is indicated. (D) Formation of 1-octen-3-ol (12) via the lipoxygenase (LOX) pathway with arachidonic acid and γ-linolenic acid as precursors. Involvement of LOX enzymes is indicated. Note that LOX activities on arachidonic acid and γ-linolenic acid precursors can give rise to 12-Hydroperoxyeicosatetraenoic acid (12-HPETE) and 10-γ-hydroperoxyoctadecatrienoic acid (10-γ-HPOTE) products, respectively. 12-HPETE and 10-γ-HPOTE serve as intermediates for the formation of compounds such as 12 and (2Z)-octen-1-ol via unusual LOX fatty acid chain-cleaving lyase activities. (E) Formation of ethyl 2-methylpropanoate (16) via decarboxylation and esterification of α-ketoisovalerate intermediate. (F) Formation of 3-methyl butanol (18) via decarboxylation and reduction/oxidation of α-ketoisocaproate intermediate. Transamination/deamination of L-valine and L-leucine leads to the formation of α-ketoisovalerate and α-ketoisocaproate, respectively. Involvement of branched-chain aminotransferase (BCAT) enzymes is indicated. Note that α-ketoisovalerate can serve as alternative intermediate for (18). The numbering of compounds are kept consistent as listed in Figure 1 for clarity.
Biosynthesis of 2-Hydroxy-6-Methylacetophenone
Compared to β-citronellol, 2-hydroxy-6-methylacetophenone is a rare floral volatile presently only known in the flowers of five Caladenia orchids – Caladenia attingens, C. ferruginea, C. pectinata, C. thinicola, and C. plicata (
Biosynthesis of (Methylthio)phenol
Plant enzymes catalyzing the methylation of sulfhydryl/thiol (-SH) group have been previously reported, for example, S-methyltransferase 1 (CrSMT1) in Catharanthus roseus (
Biosynthesis of Dimethyl Disulfide and Dimethyl Trisulfide
Biochemical and genetic evidence for the formation of DMDS and DMTS has been established in several plant species (
Biosynthesis of 1-Octen-3-ol
Plant lipoxygenases (LOXs) belong to large gene families and commonly catalyze the stereo-specific oxygenation of octadecanoid precursors at positions C9 (9-LOX) and C13 (13-LOX) resulting in the formation of various 9- and 13-hydroperoxy intermediates, respectively (
Biosynthesis of Ethyl 2-Methylpropanoate and 3-Methyl Butanol
Catabolism of branched chain amino acids (BCAA) such as L-isoleucine, L-leucine, and L-valine, is key to the formation of many BCAA-derived volatiles including ethyl 2-methylpropanoate and 3-methylbutanol (
Future Directions and Final Remarks
High throughput sequencing methodology is an emerging tool for profiling gene expression at a genome-wide scale in non-model plants. The adoption of this technique, especially the sequencing of mRNA from floral tissues and de novo transcriptome reconstruction, to prioritize candidate genes and pathways involved in the biosynthesis of deceptive semiochemicals in several orchids have already been carried out (
To provide additional support to the candidates prioritized from targeted/strategic transcriptome analysis highlighted above, an integrated network analysis can be performed. When simultaneous profiling of deceptive volatiles across diverse conditions and their corresponding sample transcriptomes is feasible, such metabolic profiles can be used as ‘guides’ or ‘baits’ to infer functionally associated genes that satisfy a given similarity threshold (e.g., correlation and mutual information). This approach is based on the well-established observations that genes and metabolites involved in related processes often have parallel expression/accumulation dynamics across a range of conditions such as tissues and developmental stages (
A complementary strategy should also include molecular evolutionary analysis. For example, testing for gene duplication and selection signatures on hypothesized pathway genes in a phylogenetic context is often useful. Such an analysis provided critical clues toward the identification of the candidate stearoyl-acyl carrier protein desaturase enzymes involved in 7-, 9-, and 12- alkene biosynthesis in sexually deceptive Ophrys orchids (
Conclusion
As critical first step, here we have drawn on prior biochemical knowledge from other systems to build plausible hypotheses on the biosynthesis of some volatiles involved in deceptive pollination. We have also highlighted the promising approaches that will allow these hypotheses to be tested. While orchids represent particularly challenging systems, as neither their biochemistry nor genomes and transcriptomes have been extensively characterized, these approaches are making the biochemical investigation of deceptive chemicals in orchids both feasible and rewarding. Beyond deceptive orchids, these approaches serve as valuable guidelines for other plants, including rewarding species, particularly those species employing unique floral volatile blends for pollinator attraction.
Statements
Author contributions
DW conceived the article, planned its structure, discussed the literature, and wrote the article with assistance from EP and RP. All authors have read and approved the paper.
Funding
This work was supported by Australian Research Council projects DP1094453 and DP150102762 to RP and EP.
Acknowledgments
We thank the following people for providing photos of various orchid and pollinator (where applicable) species: Rod Peakall (Figures 1A,B), Dennis Hansen (Figure 1C), Herman ter Borch and www.dracula-species.eu (Figure 1D), Florent Martos (Figure 1E), and Zong-Xin Ren (Figure 1F).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
Orchidaceae, pollination, floral volatile, biosynthesis, semiochemical, deception, volatile organic compounds (VOCs), evolution
Citation
Wong DCJ, Pichersky E and Peakall R (2017) The Biosynthesis of Unusual Floral Volatiles and Blends Involved in Orchid Pollination by Deception: Current Progress and Future Prospects. Front. Plant Sci. 8:1955. doi: 10.3389/fpls.2017.01955
Received
04 September 2017
Accepted
30 October 2017
Published
13 November 2017
Volume
8 - 2017
Edited by
Massuo Jorge Kato, University of São Paulo, Brazil
Reviewed by
Jonathan Gershenzon, Max Planck Institute for Chemical Ecology (MPG), Germany; Stefan Dötterl, University of Salzburg, Austria
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Copyright
© 2017 Wong, Pichersky and Peakall.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Darren C. J. Wong, darren.wong@anu.edu.au; wongdcj@gmail.com
This article was submitted to Plant Metabolism and Chemodiversity, a section of the journal Frontiers in Plant Science
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