Abstract
Benzenoids (C6–C1 aromatic compounds) play important roles in plant defense and are often produced upon herbivory. Black cottonwood (Populus trichocarpa) produces a variety of volatile and nonvolatile benzenoids involved in various defense responses. However, their biosynthesis in poplar is mainly unresolved. We showed feeding of the poplar leaf beetle (Chrysomela populi) on P. trichocarpa leaves led to increased emission of the benzenoid volatiles benzaldehyde, benzylalcohol, and benzyl benzoate. The accumulation of salicinoids, a group of nonvolatile phenolic defense glycosides composed in part of benzenoid units, was hardly affected by beetle herbivory. In planta labeling experiments revealed that volatile and nonvolatile poplar benzenoids are produced from cinnamic acid (C6–C3). The biosynthesis of C6–C1 aromatic compounds from cinnamic acid has been described in petunia (Petunia hybrida) flowers where the pathway includes a peroxisomal-localized chain shortening sequence, involving cinnamate-CoA ligase (CNL), cinnamoyl-CoA hydratase/dehydrogenase (CHD), and 3-ketoacyl-CoA thiolase (KAT). Sequence and phylogenetic analysis enabled the identification of small CNL, CHD, and KAT gene families in P. trichocarpa. Heterologous expression of the candidate genes in Escherichia coli and characterization of purified proteins in vitro revealed enzymatic activities similar to those described in petunia flowers. RNA interference-mediated knockdown of the CNL subfamily in gray poplar (Populus x canescens) resulted in decreased emission of C6–C1 aromatic volatiles upon herbivory, while constitutively accumulating salicinoids were not affected. This indicates the peroxisomal β-oxidative pathway participates in the formation of volatile benzenoids. The chain shortening steps for salicinoids, however, likely employ an alternative pathway.
A three-step peroxisomal β-oxidative pathway mediates the shortening of the propyl side chain of cinnamic acid and contributes to herbivore-induced aromatic volatile formation in poplar.
Introduction
As sessile organisms, plants have to cope with a variety of biotic stressors, such as herbivores and pathogens. To defend themselves, plants produce a huge variety of specialized metabolites, which can either act as direct defense compounds against the herbivores or pathogens, as indirect defense, for instance through the attraction of parasitoids or predators, or as defense signals (Unsicker et al., 2009; Mithöfer and Boland, 2012; Fürstenberg-Hägg et al., 2013; Maag et al., 2015). Estimates assume that around 200,000 to 1 million structurally different compounds are produced as specialized metabolites by plants (Pichersky and Lewinsohn, 2011). These metabolites can be classified based on their biosynthetic origin or common chemical core structures, and the three major compound classes are terpenes, nitrogen-containing compounds, and aromatic compounds (Dudareva et al., 2013; Muhlemann et al., 2014; Widhalm and Dudareva, 2015).
Aromatic compounds form a highly diverse group of specialized metabolites that widely occur within the plant kingdom. Chemically, aromatic compounds are defined by their mostly planar and cyclic ring structures with conjugated double bonds (Vogt, 2010; Muhlemann et al., 2014; Widhalm and Dudareva, 2015). The further classification of aromatic compounds is based on the length of the side chain with the categories: phenylpropanoids (C6–C3), phenylpropanoid-related (C6–C2), and benzenoid (C6–C1) compounds (Vogt, 2010; Muhlemann et al., 2014; Widhalm and Dudareva, 2015). The biosynthesis of most aromatic compounds starts from the aromatic amino acid l-phenylalanine and its deamination to cinnamic acid (C6–C3), catalyzed by phenylalanine ammonia lyase (MacDonald and D'Cunha, 2007). Essential for the further formation of benzenoids from cinnamic acid is the shortening of the propyl side chain by two carbons (Vogt, 2010; Widhalm and Dudareva, 2015). Multiple chain shortening pathways have been postulated in the literature: two cytosolic nonoxidative pathways, either CoA-dependent or CoA-independent, and a β-oxidative pathway in the peroxisomes (Boatright et al., 2004; Widhalm and Dudareva, 2015). Whereas both cytosolic pathways are poorly understood, the β-oxidative pathway has been elucidated in petunia (Petunia hybrida) flowers and partially in Arabidopsis (Arabidopsis thaliana; Van Moerkercke et al., 2009; Colquhoun et al., 2012; Klempien et al., 2012; Lee et al., 2012; Qualley et al., 2012; Bussell et al., 2014). The β-oxidative pathway in the peroxisomes is analogous to fatty acid degradation and mediates the C2 shortening of the propyl side chain over three enzymatic steps (Widhalm and Dudareva, 2015). The first step in this pathway, the activation of cinnamic acid to cinnamoyl-CoA, is catalyzed by cinnamate-CoA ligase (CNL; Colquhoun et al., 2012; Gaid et al., 2012; Klempien et al., 2012). The cinnamoyl-CoA formed serves as substrate for the bifunctional CHD, which first mediates the hydration of the propyl side chain and then its further oxidation to 3-oxo-3-phenylpropanoyl-CoA (Qualley et al., 2012). The actual shortening of the propyl side chain is catalyzed by 3-ketoacyl-CoA thiolase (KAT), leading to the formation of the first C6–C1 intermediate, benzoyl-CoA (Van Moerkercke et al., 2009). The benzoyl-CoA produced acts as precursor for the formation of volatile and nonvolatile benzenoids, as benzyl benzoate or benzoic acid (-derivatives) (e.g. Boatright et al., 2004; Chedgy et al., 2015; Adebesin et al., 2018; Singh et al., 2020). So far, the peroxisomal β-oxidative pathway has been only investigated in two plant species. Thus, how widespread this pathway occurs within the plant kingdom and whether this pathway contributes to the formation of volatile and nonvolatile benzenoids, particularly in vegetative tissues, is still unresolved.
Aromatic compounds, especially benzenoids, are characteristic components of plant volatile bouquets and can be emitted from both floral and vegetative tissues (Knudsen et al., 2006; Schiestl, 2010; Dudareva et al., 2013; Muhlemann et al., 2014; Amrad et al., 2016; Sas et al., 2016). Floral volatiles are often involved in the attraction of pollinators, whereas the volatile emission by vegetative tissues is mainly induced upon herbivory and the released compounds contribute to direct and indirect plant defense responses (Knudsen et al., 2006; Unsicker et al., 2009; Amrad et al., 2016; Sas et al., 2016). Apart from their emission as volatiles, benzenoid specialized metabolites can also accumulate as nonvolatiles in the plant tissue, as benzoic acid or its derivatives (Widhalm and Dudareva, 2015). Moreover, nonvolatile benzenoids are often glycosylated, and thus can be stored as defense compounds in the vacuole (e.g. Jones and Vogt, 2001; Böckler et al., 2011; Gleadow and Møller, 2014).
The Salicaceae, comprising poplar, willow, and aspen trees, is a plant family known to produce a wide array of volatile and nonvolatile aromatic compounds. Poplars, for example, have been reported to emit vegetative volatile blends rich in benzenoids. Herbivory of gypsy moth (Lymantria dispar) caterpillars on poplar leaves led, among other compounds, to the induced emission of benzaldehyde, benzylalcohol, benzyl benzoate, and methyl salicylate (Danner et al., 2011; McCormick et al., 2014; Fabisch et al., 2019). Furthermore, behavioral assays revealed that benzaldehyde emitted from poplar deters the L. dispar caterpillars, indicating a biological function of the benzenoid volatiles in plant defense (Eberl et al., 2018). Although poplar benzenoids are characteristic components of the herbivore-induced volatile bouquet in these species and contribute to the plant defense, their biosynthesis is largely unknown.
Beside volatile benzenoids, poplars and willows form another group of nonvolatile C6–C1 phenolic glycosides called salicinoids. Salicinoids are known as effective defense compounds against various insect and mammalian herbivores, as L. dispar caterpillars or field voles (Microtus agrestis; e.g. Lindroth et al., 1988; Lindroth and Peterson, 1988; Osier et al. 2000; Bailey et al., 2006; Heiska et al., 2007; Feistel et al., 2017). Structurally, salicinoids are defined by a 2-(hydroxymethyl)phenyl-β-d-glucopyranoside core structure, which describes the simplest salicinoid salicin (Böckler et al., 2011). Derivatives of this core structure are referred to as complex salicinoids, as salicortin or tremulacin, which possess either one or two additional benzenoid or benzenoid-related moieties, respectively (Böckler et al., 2011; Feistel et al., 2015). Although salicinoids have long been investigated, knowledge of their biosynthesis remains elusive. Inhibition of the phenylalanine ammonia lyase in bay willow (Salix pentandra) shoot tips revealed that l-phenylalanine and its conversion to cinnamic acid is essential for biosynthesis of salicinoids in planta (Ruuhola and Julkunen-Tiitto, 2003). Feeding experiments with isotopically labeled compounds indicated that the benzenoids benzaldehyde, benzylalcohol, and salicylaldehyde might be intermediates in the biosynthesis of salicinoids (Zenk, 1967; Babst et al., 2010). More recently, two acyltransferases have been identified in poplar, catalyzing the formation of benzyl benzoate and salicyl benzoate in vitro (Chedgy et al., 2015). Both compounds are proposed as likely intermediates in the biosynthesis of complex salicinoids. Moreover, the current finding of a uridine diphosphate (UDP)-dependent glycosyltransferase able to glycosylate salicyl benzoate, and its CRISPR/Cas9-mediated knockout, supports this biosynthetic pathway (Fellenberg et al., 2019). However, detailed knowledge about the formation of the benzenoid core structure of salicinoids is not yet available.
The aim of this study was to investigate the biosynthesis of volatile and nonvolatile benzenoids in black cottonwood (Populus trichocarpa, Salicaceae). Herbivory of the poplar leaf beetle Chrysomela populi on P. trichocarpa leaves led to the induced emission of a complex volatile blend including benzaldehyde, benzylalcohol, and benzyl benzoate. However, salicinoids as nonvolatile benzenoids were only partially altered through the herbivore treatment. Using phylogenetic and transcriptome analysis, we identified candidate genes of a putative peroxisomal β-oxidative pathway in P. trichocarpa. Heterologous expression and biochemical characterization of the respective enzymes revealed their expected enzymatic activity in vitro. To evaluate a potential contribution of the β-oxidative pathway to the formation of salicinoids and herbivore-induced volatile benzenoids in vivo, we performed a RNA-interference (RNAi) mediated knockdown of the CNL subfamily in gray poplar (Populus x canescens).
Results
Herbivory of C. populi beetles induces the production of benzenoid volatiles, but nonvolatile benzenoid compounds are barely affected
Herbivory often results in the induced formation of specialized metabolites. For example, feeding of the generalist herbivore L. dispar on poplar leaves has been reported to induce the formation of a wide array of defense compounds (Danner et al., 2011; Irmisch et al., 2013; McCormick et al., 2014; Fabisch et al., 2019). To test the influence of a specialist herbivore on poplar-induced defense compounds, we investigated the formation of volatile and nonvolatile specialized metabolites in leaves of P. trichocarpa upon herbivory of the poplar leaf beetle C. populi. Volatile collection and subsequent gas chromatography-mass spectrometry (GC-MS) analysis of trapped compounds revealed that herbivory of C. populi beetles led to the emission of a complex volatile bouquet comprising terpenes, nitrogen-containing compounds, and aromatic compounds (Figure 1; Supplemental Table S1). The most abundant herbivore-induced volatiles were identified as the monoterpene (E)-β-ocimene and the sesquiterpene (E,E)-α-farnesene (Figure 1; Supplemental Table S1). Moreover, the volatile bouquet contained a variety of benzenoid compounds such as benzaldehyde, benzylalcohol, salicylaldehyde, methyl salicylate, and benzyl benzoate (Figure 1; Supplemental Table S1) whose emission was significantly induced in response to the herbivore treatment (Figure 1; Supplemental Table S1). The accumulation of volatile benzenoids in the P. trichocarpa leaf tissue was also induced upon C. populi herbivory (Supplemental Table S2).
Additionally, we measured the concentration of nonvolatile specialized metabolites such as the highly abundant salicinoids and aromatic carboxylic acids in undamaged and beetle-damaged P. trichocarpa leaves using liquid chromatography/UV detection (HPLC/UV) and liquid chromatography/tandem mass spectrometry (LC-MS/MS), respectively. Analysis of the salicinoid content revealed that the herbivore treatment did not induce the accumulation of complex salicinoids, salirepin, and the sulfated salicinoids salicin-7-sulfate and salirepin-7-sulfate (Table 1). However, C. populi herbivory resulted in a significantly increased accumulation of salicin (Table 1). Further LC-MS/MS analysis revealed that the accumulation of the aromatic carboxylic acids 4-hydroxycinnamic acid, caffeic acid, ferulic acid, 4-hydroxybenzoic acid, 2,3-dihydroxybenzoic acid, and 2,5-dihydroxybenzoic acid was significantly induced in response to herbivory (Supplemental Table S3). The concentration of the most abundant aromatic carboxylic acid, cinnamic acid, however, was not influenced by the herbivore treatment. Moreover, the accumulation of salicylic acid, a phytohormone with benzenoid carboxylic acid structure, was not significantly influenced by the herbivore-treatment (Supplemental Table S4)
Table 1.
Compound | Control | Herbivory | P-value | t-value |
---|---|---|---|---|
Salicin | 0.91 ± 0.13 | 1.70 ± 0.12 | <0.001 | −4.711 (ST) |
Salicin-7-sulfate | 2.47 ± 0.09 | 2.61 ± 0.13 | 0.395 | −0.877 (ST) |
Salirepin | 1.70 ± 0.11 | 1.78 ± 0.06 | 0.535 | −0.637 (ST) |
Salirepin-7-sulfate | 1.39 ± 0.09 | 1.48 ± 0.07 | 0.440 | −0.794 (ST) |
Salicortin | 122.81 ± 2.41 | 123.48 ± 1.87 | 0.817 | −0.236 (ST) |
Homaloside D | 23.96 ± 0.77 | 23.99 ± 0.69 | 0.982 | −0.0227 (ST) |
Tremulacin | 20.43 ± 0.83 | 19.87 ± 0.55 | 0.560 | 0.597 (ST) |
6-O′-benzoylsalicortin | 3.89 ± 0.22 | 3.99 ± 0.18 | 0.730 | −0.352 (ST) |
Compounds were extracted with methanol from freeze-dried plant material and analyzed using LC-MS/MS or HPLC-UV. Means and se (n = 8) are given. Differences between treatments were analyzed by Stdent's t test (ST).
Volatile and nonvolatile benzenoids are produced from cinnamic acid
Cinnamic acid is a common precursor in the formation of aromatic specialized metabolites in plants (Vogt, 2010; Widhalm and Dudareva, 2015). To test whether cinnamic acid serves as a precursor in the biosynthesis of volatile and nonvolatile benzenoids in poplar, we fed deuterium-labeled D7-cinnamic acid to detached P. trichocarpa leaves that were damaged by C. populi beetles. Volatile collection was conducted and the collected volatiles were subsequently analyzed via GC-MS to identify mass shifts of the molecular ions and corresponding fragments. Mass shifts indicating the incorporation of the labeled precursor were observed for the molecular ions of benzaldehyde (m/z 106 → m/z 111), benzylalcohol (m/z 108 → m/z 113), salicylaldehyde (m/z 122 → m/z 126), benzyl benzoate (m/z 212 → m/z 222), hexenyl benzoate (m/z 206 → m/z 211), and the main fragment of cis-3-hexenyl benzoate (m/z 105 → m/z 110; Figure 2). Methyl salicylate, salicylalcohol, and isoamyl benzoate could not be detected in nonlabeled and labeled volatile bouquets, although they were found in the volatile blend released from nondetached herbivore-damaged poplar leaves in the experiment described above (Figure 1; Supplemental Table S1).
To investigate the uptake of D7-cinnamic acid and its incorporation into nonvolatile salicinoids and aromatic carboxylic acids, we prepared methanol extracts of the leaf material and conducted LC-MS/MS measurements in multiple reaction monitoring mode. The uptake of D7-cinnamic acid was proven by the appearance of D7-cinnamic acid in the leaf tissue itself, and we further showed its metabolism into labeled forms of different aromatic carboxylic acids, such as 4-hydroxycinnamic acid or caffeic acid (Supplemental Table S5). Moreover, feeding of D7-cinnamic acid resulted in label incorporation into the 2-(hydroxymethyl)phenol moiety of all analyzed salicinoids (Table 2). Further analysis of the mass spectra of the complex salicinoids revealed label incorporation into the benzenoid-derived 1-hydroxy-6-oxo-cyclohex-2-en-1-carboxylic acid moiety and in the case of homaloside D and tremulacin/6-O′-benzoylsalicortin into the benzoic acid moiety as well (Table 2). Altogether, these results indicate that cinnamic acid acts as a common precursor in the formation of volatile and nonvolatile benzenoids in P. trichocarpa leaves.
Table 2.
Compound | H2O control (%) | D7-CA feeding (%) |
---|---|---|
Salicin | 100 ± 0.0 | 94.8 ± 1.1 |
D4-salicin | ND | 5.2 ± 1.1 |
Salicin-7-sulfate | 100 ± 0.0 | 98.3 ± 0.3 |
D4-salicin-7-sulfate | ND | 1.7 ± 0.3 |
Salirepin | 100 ± 0.0 | 98.6 ± 0.3 |
D3-salirepin | ND | 1.4 ± 0.3 |
Salirepin-7-sulfate | 99.8 ± 0.005 | 99.4 ± 0.1 |
D3-salirepin-7-sulfate | 0.2 ± 0.005 | 0.6 ± 0.1 |
Salicortin | 100 ± 0.0 | 96.8 ± 0.7 |
D8-salicortin | ND | 3.2 ± 0.7 |
Homaloside D | 100 ± 0.0 | 99.7 ± 0.1 |
D12-homaloside D | ND | 0.3 ± 0.1 |
Tremulacin/6-O′-benzoylsalicortin | 100 ± 0.0 | 98.7 ± 0.3 |
D13-tremulacin/6-O′-benzoylsalicortin | ND | 1.3 ± 0.3 |
Compounds were extracted with methanol from freeze-dried plant material and analyzed using LC-MS/MS. The amount of each compound, labeled and unlabeled, is given as the percentage of the total amount of that compound. Means and SE (n = 3–4) are given.
Identification of putative β-oxidative pathway genes for conversion of cinnamic acid to benzoyl-CoA
Essential for the formation of benzenoid specialized metabolites from cinnamic acid are the shortening of the propyl side chain by two carbons (Widhalm and Dudareva, 2015). Such chain shortening has been described in petunia flowers and found to be catalyzed by a three-step enzymatic β-oxidative pathway, which is localized in the peroxisomes (Van Moerkercke et al., 2009; Klempien et al., 2012; Qualley et al., 2012). These three enzymatic steps are catalyzed by cinnamate-CoA ligase (CNL), cinnamoyl-CoA hydratase/dehydrogenase (CHD), and 3-ketoacyl-CoA thiolase (KAT), respectively (Van Moerkercke et al., 2009; Klempien et al., 2012; Qualley et al., 2012). Based on our in planta labeling results, we hypothesized that a similar chain shortening pathway might also exist in poplars. Thus, we aimed to identify putative candidate genes by performing Basic Local Alignment Search Tool (BLAST) analyses with the already described PhCNL, PhCHD, and PhKAT genes from petunia (Van Moerkercke et al., 2009; Klempien et al., 2012; Qualley et al., 2012) and the P. trichocarpa genome as template. Using PhCNL as BLAST query, we identified seven putative P. trichocarpa CNL (PtCNL) candidate genes Potri.017G138400, Potri.T116500, Potri.T116700, Potri.004G082000, Potri.016G034800, Potri.006G036200, and Potri.006G036300, which were designated as PtCNL1–7, respectively (Supplemental Figure S1; Shi et al., 2010). Detailed sequence comparisons showed that PtCNL1 and PtCNL2 were identical, and thus we further refer only to PtCNL1. An amino acid alignment of PtCNL1–7 with the characterized CNLs from petunia (PhCNL; Klempien et al., 2012) and Arabidopsis (AtBZO1, Arabidopsis thaliana; Lee et al., 2012) revealed the existence of an AMP-binding site, a characteristic motif for acyl-activating enzymes, in the poplar CNL candidates (Supplemental Figure S2; Shockey and Browse, 2011). Moreover, all poplar CNLs except for PtCNL3 contain a C-terminal peroxisomal targeting sequence I (Supplemental Figure S2 and Table S6). A BLAST search of the P. trichocarpa genome with PhCHD revealed three putative P. trichocarpa CHD candidate genes, which were designated as PtCHD1 (Potri.018G082900), PtCHD2 (Potri.010G011900), and PtCHD3 (Potri.008G220400). Further sequence analysis and amino acid alignments enabled the identification of conserved motifs responsible for the isomerase/hydratase and the dehydrogenase activity, which are essential for bifunctional CHD enzymes (Supplemental Figure S3; Arent et al., 2010). In analogy to the CNLs, all putative poplar CHD enzymes possess a peroxisomal targeting sequence I motif (Supplemental Figure S3 and Table S7). Finally, by using PhKAT as BLAST template, we identified three putative KAT candidate genes PtKAT1 (Potri.002G216400), PtKAT2 (Potri.001G051900), and PtKAT3 (Potri.001G051800) in the P. trichocarpa genome. Sequence analysis and amino acid alignments showed that the three candidate enzymes contain conserved thiolase sequence motifs and a peroxisomal targeting sequence II (Supplemental Figure S4 and Table S7; Reumann, 2004; Van Moerkercke et al., 2009).
Heterologous expression of poplar CNL, CHD, and KAT enzymes in E. coli
To test the enzymatic activity of the putative PtCNL, PtCHD, and PtKAT candidate enzymes, we amplified their complete open reading frames from cDNA of beetle-treated P. trichocarpa leaves and inserted them into an expression vector. Notably, the amplification of PtCNL3 only yielded truncated versions of PtCNL1, indicating that PtCNL3 is not expressed in beetle-damaged P. trichocarpa leaves. The cloned genes were heterologously expressed in Escherichia coli and purified N-terminal His6-Tag fusion proteins were assayed with different substrates. The formation of enzyme products was analyzed using LC-MS/MS. For testing the enzyme activity of putative CNL candidates, different aromatic carboxylic acids were chosen as potential substrates. The most efficient substrates used by all PtCNL enzymes except PtCNL6 were trans-cinnamic acid, 2-hydroxycinnamic acid, and 4-hydroxycinnamic acid, whereas caffeic acid, ferulic acid, and benzoic acid were converted in substantially lower amounts (Figure 3; Supplemental Table S8 and Figure S5). The highest enzymatic activities were measurable for PtCNL1 and PtCNL4, which activated almost all of the supplied trans-cinnamic acid and 2-hydroxycinnamic acid into the respective CoA esters (Supplemental Table S8). In contrast, PtCNL6 possessed only trace activity with all of the tested substrates (Supplemental Table S8).
The enzymatic activities of the putative PtCHD candidate enzymes were tested with cinnamoyl-CoA, 2-hydroxycinnamoyl-CoA, and 4-hydroxycinnamoyl-CoA as substrates. Although all three CHD candidates accepted these aromatic CoA esters as substrates in vitro, they showed different catalytic efficiencies (Figure 3; Supplemental Table S9 and Figure S5). While PtCHD1 showed the highest enzymatic activity, PtCHD2 and PtCHD3 possessed only minor enzymatic activities with the tested substrates (Supplemental Table S9 and Figure S5). LC-MS/MS analysis of enzyme assays containing the putative poplar KAT enzymes, PtCHD1, and different aromatic CoA esters as CHD substrates revealed that PtKAT1 and PtKAT2 efficiently catalyzed the shortening of the propyl side chain of 3-oxo-3-phenylpropanoyl-CoA and 3-oxo-3-(4-hydroxy)-phenylpropanoyl-CoA in vitro (Figure 3; Supplemental Tables S10 and S11 and Figure S5). PtKAT3, however, showed only trace activity with 3-oxo-3-phenylpropanoyl-CoA as substrate, and no activity with other tested substrates in vitro (Supplemental Tables S10 and S11 and Figure S5).
Genes encoding the β-oxidative pathway are upregulated upon herbivory
To investigate the expression of putative β-oxidative pathway genes, we sequenced and compared the transcriptomes of C. populi-damaged and undamaged P. trichocarpa leaves. While the expression of PtCNL1, PtCNL4, PtCNL6, PtCHD1, PtCHD3, and PtKAT1 was significantly upregulated in response to herbivory, the expression of all other genes was not influenced by the treatment (Figure 4). Comparing the fold changes, PtCNL1 and PtCNL4 showed the highest induction with a 7.5- and 7.8-fold increase upon herbivory, respectively. The induction of PtCHD1, PtCHD3, and PtKAT1 gene expression was less pronounced with a 1.7-, 3.2-, and 4.2-fold increase in herbivore-treated leaves versus undamaged leaves, respectively. To verify the obtained RNAseq data, we performed reverse transcription-quantitative PCR (RT-qPCR) analysis, which confirmed the observed expression pattern (Supplemental Figure S6). However, we could not obtain primers specific for PtCNL3, but used instead a primer pair amplifying both PtCNL1 and PtCNL3, covering a region with high sequence polymorphisms. Sequencing of the cloned PtCNL1/PtCNL3 RT-qPCR products revealed no transcripts of PtCNL3, confirming that this gene is not expressed in poplar leaves.
RNAi-mediated knockdown of CNL1 and 4 led to a decreased emission of benzenoid volatiles upon herbivory, but did not alter the accumulation of salicinoids
Biochemical characterization of candidate enzymes and gene expression analysis suggested that the β-oxidative pathway might contribute to the formation of herbivore-induced aromatic compounds in poplar (Figures 3 and 4). To test this hypothesis in planta, we performed RNA interference (RNAi)-mediated knockdown of CNL genes in gray poplar (P. x canescens), the poplar species usually used for Agrobacterium-mediated transformation (Leple et al., 1992). Since only PtCNL1 and PtCNL4 showed considerable gene expression in beetle-damaged P. trichocarpa leaves (Figure 4), we aimed to generate RNAi lines with reduced CNL1 and CNL4 gene expression by transforming P. x canescens with a DNA fragment complementary to CNL1 and 4. Four independent CNL1 and 4 knockdown lines (RNAi-1, RNAi-2, RNAi-3, and RNAi-4) were generated and compared to empty vector (EV) trees and wild-type (WT) trees. Gene expression analysis by RT-qPCR showed that CNL4 and CNL1 were significantly less expressed in C. populi-damaged leaves of the knockdown lines compared to WT trees and EV trees (Figure 5; Supplemental Figures S7 and S8). The expression of CNL6 was not altered, and expression of CNL5 and CNL7 was not detectable (Supplemental Figures S7 and S8). GC-MS analysis of volatiles collected from C. populi-damaged leaves revealed that the emission of benzaldehyde, benzylalcohol, benzyl benzoate, and methyl salicylate was significantly reduced in the CNL1 and 4 knockdown trees in comparison to EV trees and WT plants (Figure 5; Supplemental Figure S9). Notably, the herbivore-induced emission of salicylaldehyde, the N-containing compounds, and most of the volatile terpenoids was not affected by the downregulation of CNL1 and 4 (Figure 5; Supplemental Figure S9 and Tables S12 and S13). In addition, the accumulation of volatile benzenoids in leaf tissue was not significantly reduced in the RNAi knockdown lines compared with WT and EV trees, with the exception of benzyl benzoate (Supplemental Tables S14 and S15). In addition to volatile benzenoids, we measured the concentration of nonvolatile salicinoids and aromatic carboxylic acids in the P. x canescens leaf tissue by HPLC-UV and LC-MS/MS, respectively. Analysis of the salicinoid content revealed no significant differences between P. x canescens CNL knockdown trees, EV trees, and WT trees (Figure 6; Supplemental Figure S10). Moreover, the accumulation of benzoic acid derivatives and phenylpropanoid carboxylic acids, except 2-hydroxycinnamic acid, was also not influenced by the downregulation of CNL1 and 4 (Supplemental Tables S16–S19).
Discussion
Benzenoids (C6–C1 aromatic compounds) are an important class of aromatic specialized metabolites that occur widely in the plant kingdom. Poplars and willows, for instance, are known to produce a variety of volatile and nonvolatile benzenoids that contribute to their defense. However, the biosynthesis of benzenoid compounds is largely unknown. Thus, we aimed to investigate the pathway of benzenoid formation in P. trichocarpa and here report that a peroxisomal β-oxidative pathway mediates the formation of benzoyl-CoA, a universal C6–C1 building block of volatile and nonvolatile benzenoids.
Volatile benzenoids are produced via the β-oxidative pathway
Volatile benzenoids are typical components of floral and vegetative plant volatile bouquets (Knudsen et al., 2006; Dudareva et al., 2013; Widhalm and Dudareva, 2015; Amrad et al., 2016; Sas et al., 2016). We showed that feeding of the poplar leaf beetle C. populi on P. trichocarpa leaves resulted in a significantly induced emission of different benzenoids, for example, benzaldehyde, benzylalcohol, salicylaldehyde, and benzyl benzoate (Figure 1; Supplemental Table S1). Although volatile benzenoids are typically emitted from herbivore-treated poplar leaves (Figure 1; Danner et al., 2011; McCormick et al., 2014; Fabisch et al., 2019), their biosynthesis has remained elusive. In general, cinnamic acid is assumed as the common biosynthetic precursor of most benzenoid compounds (Figure 7; Widhalm and Dudareva, 2015). Indeed, feeding experiments with deuterium-labeled D7-cinnamic acid revealed the incorporation of cinnamic acid into volatile benzenoids in poplar (Figure 2). Essential for the further formation of benzenoids from cinnamic acid is the shortening of the propyl side chain by two carbons (Widhalm and Dudareva, 2015). A peroxisome-localized three-step β-oxidative pathway that contributes to the formation of benzenoid specialized metabolites has been described in petunia and in Arabidopsis (Van Moerkercke et al., 2009; Colquhoun et al., 2012; Klempien et al., 2012; Lee et al., 2012; Qualley et al., 2012; Bussell et al., 2014). This pathway involves the sequential action of a CNL, a CHD, and a KAT; Van Moerkercke et al., 2009; Klempien et al., 2012; Qualley et al., 2012). By performing sequence and transcriptome analysis, we identified genes in the P. trichocarpa genome encoding CNL, CHD, and KAT enzymes that are likely localized in the peroxisomes. Heterologous expression and biochemical characterization revealed activities and substrate specificities consistent with a peroxisomal β-oxidative pathway (Figures 3 and 7; Supplemental Tables S8–S11). Gene expression analysis showed that the seven identified CNL genes were barely expressed in undamaged leaves and only two of them (PtCNL1 and PtCNL4) showed considerable expression levels after herbivore feeding (Figure 4). In contrast, two out of the three identified CHDs (PtCHD1 and PtCHD2) and one out of the three identified KATs (PtKAT2) were highly expressed in undamaged leaves and only moderately induced (PtCHD1) or even not induced (PtCHD2, PtKAT2) upon herbivory (Figure 4). These data indicate that the β-oxidative pathway in poplar peroxisomes is mainly controlled by the expression of PtCNL4 and PtCNL1 and thus mainly contributes to the formation of benzenoids upon herbivory. Indeed, RNAi-mediated knockdown of CNL1 and 4 in P. x canescens, a poplar species closely related to P. trichocarpa, resulted in the reduced emission of herbivore-induced benzenoid volatiles, whereas the formation of constitutively accumulating salicinoids was not influenced (Figures 5–7).
The end product of the β-oxidative pathway is the first C6–C1 intermediate, benzoyl-CoA, which can serve as precursor for different metabolic pathways. In petunia, a peroxisomal-localized thioesterase has recently been described to catalyze the hydrolysis of benzoyl-CoA to benzoic acid (Adebesin et al., 2018). Moreover, it has been proposed that benzoyl-CoA might be transported out of the peroxisomes into the cytosol via so far unknown transporters (Figure 7; Adebesin et al., 2018). In the cytosol, benzoyl-CoA can act as substrate for BAHD-acyltransferases that produce aromatic esters (D'Auria, 2006). Recently, an acyltransferase has been identified in poplar that is able to catalyze the formation of benzyl benzoate using benzoyl-CoA as substrate (Figure 7; Chedgy et al., 2015). It is also feasible that, as in the lignin biosynthesis, benzoyl-CoA is directly converted to benzaldehyde by the activity of a cinnamoyl-CoA reductase (Chao et al., 2017; Liu et al., 2018). The benzaldehyde produced might function as a key intermediate in the formation of other benzenoids (Figure 7). Short-chain dehydrogenases could for instance catalyze its reduction to benzylalcohol (Kavanagh et al., 2008), while benzaldehyde dehydrogenases as for example described in snapdragon (Antirrhinum majus) convert it to benzoic acid (Figure 7; Long et al., 2009). Benzoic acid, either produced through putative hydrolases or by oxidation of benzaldehyde, might act as substrate for a 2-hydroxylase catalyzing the formation of salicylic acid, which can then be further methylated to form volatile methyl salicylate (Figure 7; e.g. Negre et al., 2002; Widhalm and Dudareva, 2015).
Alternative chain shortening pathways likely contribute to the formation of nonvolatile benzenoids in poplar
Poplar trees are known to produce a variety of nonvolatile benzenoids, including the highly abundant and constitutively produced salicinoids (Böckler et al., 2011, 2013; Feistel et al., 2015; Fabisch et al., 2019). Although the formation of salicinoids is poorly understood, inhibition and labeling studies proposed cinnamic acid as common precursor for the benzenoid core structure (Zenk, 1967; Ruuhola and Julkunen-Tiitto, 2003; Babst et al., 2010). Our in planta feeding experiments with deuterium-labeled D7-cinnamic acid support this hypothesis, as we confirmed its incorporation into the core benzenoid 2-(hydroxymethyl)phenol moiety as well as into the benzenoid-related 1-hydroxy-6-oxo-cyclohex-2-en-1-carboxylic acid moiety of complex salicinoids (Table 2). Although shortening of the propyl side chain of cinnamic acid is essential for the formation of salicinoids, none of the identified CNL candidates showed a constitutive and high expression pattern consistent with salicinoid accumulation. Moreover, the RNAi-mediated knockdown of CNL1 and 4 resulted in a significantly reduced emission of herbivore-induced benzenoid volatiles, but had no effect on the accumulation of salicinoids or other nonvolatile benzenoids (Figure 6; Supplemental Tables S12–S19). This indicates that, apart from the β-oxidative pathway, another chain shortening pathway should exist in poplar that contributes to the formation of nonvolatile benzenoids. Two cytosolic nonoxidative chain shortening pathways have been postulated in the literature, which are either CoA-dependent or CoA-independent (Widhalm and Dudareva, 2015). As part of the CoA-dependent nonoxidative pathway, cinnamic acid could be first activated to cinnamoyl-CoA and further hydrated to 3-hydroxy-3-phenylpropanoyl-CoA (Figure 7; Widhalm and Dudareva, 2015). An enoyl-CoA hydratase/lyase might then catalyze the chain shortening of 3-hydroxy-3-phenylpropanoyl-CoA, leading to the formation of benzaldehyde (Figure 7; Widhalm and Dudareva, 2015). Although an enoyl-CoA hydratase/lyase has been described in Pseudomonas fluorescens (Gasson et al., 1998), comparable evidence in plants is scarce, as the expected enzymatic activity has been only observed in crude protein extracts of sweet amber (Hypericum androsaemum) cell cultures (Abd El-Mawla and Beerhues, 2002). The CoA-independent pathway first comprises the hydration of cinnamic acid to 3-hydroxy-3-phenylpropionic acid and its further reverse aldol cleavage to benzaldehyde (Figure 7; Widhalm and Dudareva, 2015). This enzymatic activity has been mainly observed in crude protein extracts from different plant species such as tobacco (Nicotiana tabacum), Asian pear (Pyrus pyrifolia), and apple (Malus domestica; Malinowski et al., 2007; Sarkate et al., 2018; Saini et al., 2019). Molecular and biochemical evidences for a responsible gene have been published by Gallage et al. (2014), who described a vanilin synthase that converts ferulic acid to vanilin. However, the actual activity of this enzyme is controversial (Yang et al., 2017). Metabolic flux analysis and isotope labeling experiments revealed that both the nonoxidative CoA-independent pathway and the β-oxidative pathway contribute to the formation of benzenoids in petunia flowers (Boatright et al., 2004; Orlova et al., 2006). Thus, it is conceivable that at least one of the cytosolic pathways might also exist in poplar and contribute to the formation of nonvolatile benzenoids.
Benzenoid specialized metabolites might have multiple functions in poplar defense against herbivores
The emission of volatiles is an important trait in the communication of sessile plants with their environment (Unsicker et al., 2009; Dudareva et al., 2013; Muhlemann et al., 2014; Amrad et al., 2016; Sas et al., 2016). Herbivory, for instance, is often described to induce the emission of volatiles, which contributes to the direct and indirect defense responses of the plant (Unsicker et al., 2009). In the current study, we revealed that herbivory of the specialist C. populi on P. trichocarpa leaves results in the induced formation of benzenoid volatiles for example benzaldehyde or benzyl benzoate (Figure 1; Supplemental Table S1). Although benzenoid volatiles are in general characteristic components of the herbivore-induced volatile blend of poplar trees (Figure 1; Supplemental Table S1; Danner et al., 2011; McCormick et al., 2014; Fabisch et al., 2019), their ecological functions in the plant defense response are poorly understood. Only a few studies have been conducted so far revealing the importance of benzenoid volatiles in plant–environment interactions. Behavioral assays with generalist-feeding L. dispar caterpillars, for example, showed that volatile benzaldehyde acts as repellent (Eberl et al., 2018). Moreover, benzyl benzoate emitted from petunia flowers has been shown to deter multiple florivores, including the cucumber beetle Diabrotica undecimpunctata and the tree cricket Oecanthus fultoni (Kessler et al., 2013). Thus, it is tempting to speculate that benzenoids emitted from poplar might also influence the feeding behavior of C. populi beetles.
Salicinoids are well-known as effective defense compounds against various herbivores, including coleopteran insects (e.g. Tahvanainen et al., 1985; Lindroth et al., 1988; Lindroth and Peterson, 1988; Kelly and Curry, 1991; Bailey et al., 2006). They are mostly constitutively accumulating defense metabolites and their formation is assumed to be more dependent on the genotype, the developmental stage, or the season, then on induction by herbivore feeding (Böckler et al., 2011; 2013; Fabisch et al., 2019). Our study showed that the concentrations of the complex salicinoids salicortin, homaloside D, tremulacin, and 6-O′-benzoylsalicortin were not influenced by C. populi herbivory (Table 1). However, the concentration of the simplest salicinoid salicin significantly increased in response to the herbivore treatment (Table 1). Whereas the effectiveness of complex salicinoids as defense compounds is well-known (Böckler et al., 2011), the available data about the effectiveness of salicin are contradictory (Lindroth et al., 1988; Lindroth and Peterson, 1988; Böckler et al., 2016). Only a slight negative impact of salicin has been described in defense against the tiger swallowtail (Papilio glaucus glaucus) and the southern armyworm (Spodoptera eridania; Lindroth et al., 1988; Lindroth and Peterson, 1988). Moreover, food choice assays with artificially applied salicin revealed only a marginal influence on the feeding preference of L. dispar caterpillars (Lackus et al., 2020). Similarly, the increased salicin content might not serve as a defense against the specialist leaf herbivore C. populi. On the contrary, C. populi larvae use salicin for their own defense against predators and microbial infection by sequestration and further metabolism to salicylaldehyde (Pasteels et al., 1983; Gross et al., 2002; Michalski et al., 2008; Burse et al., 2009) and adult beetles might sequester salicin as well (Pasteels et al., 1982).
Materials and methods
Plant and insect material
Black cottonwood (P. trichocarpa, clone Muhle-Larsen, P&P Baumschule, Eitelborn, Germany) trees were propagated from monoclonal stem cuttings and grown under summer conditions in the greenhouse (day, 23–25°C; night, 19–23°C; 50%–60% rel. humidity; 16-h/8-h light/dark cycle) in a 1:1 mixture of sand and clay granules (Klasmann-Deilmann, Geeste, Germany), until they reached about 80–100 cm in height. Gray poplar (Populus x canescens clone INRA 717-1B4) trees were propagated and cultivated as described in the section “Vector construction and transformation of poplar”. P. x canescens trees were used at an age of 7 weeks, corresponding to a height of ∼60 cm. Poplar leaf beetles (Chrysomela populi) originated from egg clutches from old-growth black poplar (Populus nigra) trees collected in the field (Fabisch et al., 2019) and were further propagated and cultivated on P. nigra trees in the laboratory.
Herbivore treatment
Leaves were numbered according to the leaf plastochron index (LPI; Irmisch et al., 2013). Before the onset of the experiment, C. populi beetles were starved for 13 h. For the herbivore treatment, 12 C. populi beetles were released on leaves LPI3–7 and were allowed to feed for 24 h (8 am–8 am). On the second day, beetles were removed from the plants to avoid volatile contamination and leaves were enclosed in new PET bags (Bratschlauch, Toppits, Minden, Germany). Volatile collection was then performed from 10 a.m. to 4 p.m. as described in the section “Volatile collection and analysis”. For analysis of P. x canescens WT trees, EV trees, and CNL knockdown lines, LPI4 was enclosed in a PET bag and four C. populi beetles (starved for 13 h) were allowed to feed for 24 h (8 a.m.–8 a.m.). After removal of the beetles and the enclosing of the leaf in a new PET bag, the volatile collection was performed on the second day, from 10 a.m. to 4 p.m. as described in the section “Volatile collection and analysis”. After the volatile collection, leaf material was harvested, flash-frozen in liquid nitrogen, ground, and one part stored at −80°C until further processing, while the other part was lyophilized and stored at 4°C.
Feeding experiment with D7-cinnamic acid
Single leaves (LPI3) from P. trichocarpa trees were cut and incubated overnight (4 p.m.–8 a.m.) in tap water or a solution containing 2 mM D7-cinnamic acid (Sigma Aldrich, St. Louis, MO, USA). Two C. populi beetles per leaf, starved for 13 h before the onset of the experiment, were then allowed to feed for 24 h (8 a.m.–8 a.m.) on the P. trichocarpa leaves. On the second day, beetles were removed, leaves were enclosed in new PET bags (Bratschlauch, Toppits), and volatile collection was performed from 10 a.m. to 4 p.m. as described in the section “Volatile collection and analysis”. Afterward, leaf material was harvested, flash-frozen in liquid nitrogen, ground, and one part stored at −80°C until further processing, while the other part was lyophilized and stored at 4°C.
Volatile collection and analysis
Volatiles were collected using a dynamic push–pull system. Air flow was maintained in the system through Teflon tubes. Charcoal filtered air was pumped into the bags at a flow of 1 L min−1. A portion of the aspirated air (flow: 0.6 L min−1) was withdrawn with a second pump and passed through a filter packed with 30 mg Poropak (ARS, Inc., Gainesville, FL, USA) to adsorb the volatile compounds. Volatiles were collected for 6 h during the middle of the light period of Day 2 after herbivore release (10 a.m.–4 p.m.). After the collection, the volatile compounds were desorbed by eluting the filter with 200 µL dichloromethane containing nonyl acetate as an internal standard (10 ng µL−1). Samples were stored at −20°C until gas chromatography analysis. Volatile collection of P. x canescens WT trees, EV trees, and CNL knockdown plants was conducted with an air supply of 0.8 L min−1 and an air withdrawal of 0.4 L min−1.
Qualitative and quantitative analyses of leaf volatiles were conducted using an Agilent 6890 Series gas chromatograph coupled to an Agilent 5973 quadrupole mass selective detector (Agilent Technologies, Santa Clara, CA, USA; interface temperature, 250°C; quadrupole temperature, 150°C; source temperature, 230°C; electron energy, 70 eV) or a flame ionization detector (FID) operated at 300°C, respectively. The constituents of the volatile bouquet were separated using a ZB5 column (Phenomenex, Aschaffenburg, Germany; 30 m × 0.25 mm × 0.25 µm) and He (MS) or H2 (FID) as carrier gas. The sample (1 µL or 2 µL) was injected without split at an initial oven temperature of 45°C. The temperature was held for 2 min and then increased to 180°C with a gradient of 6°C min−1, and then further increased to 300°C with a gradient of 60°C min−1 and hold of 2 min. Compounds were identified by comparison of retention times and mass spectra to those of authentic standards, or by comparison with reference spectra in the Wiley and National Institute of Standards and Technology libraries.
Hexane extraction of plant material
To determine the accumulation of nonpolar compounds in poplar leaf tissue, 100 mg of ground leaf material was extracted in a GC glass vial with 400-µL hexane including 10-ng/µL nonyl acetate as an internal standard. The extracts were shaken for 1 h at 900 rpm and incubated overnight at room temperature. After centrifugation for 10 min at 5,000 g, the supernatant was taken and subsequently analyzed via GC-MS and GC-FID as described in the section “Volatile collection and analysis”.
Methanol extraction of plant material
Metabolites were extracted from 10 mg freeze-dried plant material by adding 1 mL 100% methanol (MeOH) containing 0.8 mg/mL phenyl-β-d-glucopyranoside (Sigma Aldrich), 40 ng/mL D6-abscisic acid (D6-ABA), 40 ng/mL D6-jasmonic acid (D6-JA), D4-salicylic acid, and 8 ng/mL D6-jasmonic-acid isoleucine (D6-JA-Ile; Santa Cruz Biotechnology, Dallas, TX, USA) as internal standards. Samples were shaken for 30 s in a paint shaker (Scandex, Büdelsdorf, Germany) and afterward for 30 min at 200 rpm on a horizontal shaker (IKA Labortechnik, Staufen, Germany). After centrifugation, the supernatants were split for HPLC-UV and LC-MS/MS measurements and were subsequently analyzed. Extraction of nonlabeled and labeled leaf material was conducted as described above, except that pure 100% MeOH without internal standards was used.
Liquid chromatography mass-spectrometry analysis of plant methanol extracts and enzyme products
Targeted analysis for quantification. Chromatographic separation was achieved using an Agilent 1260 infinity II LC system (Agilent Technologies, Santa Clara, CA, USA) equipped with a Zorbax Eclipse XDB-C18 column (50 × 4.6 mm, 1.8 μm, Agilent Technologies), using aqueous formic acid (0.05% (v/v)) and acetonitrile as mobile phases A and B, respectively. The mobile phase flow rate was 1.1 mL/min. The elution profile is listed in Supplemental Table S20 as gradient A. The column temperature was maintained at 20°C. The LC system was coupled to a QTRAP 6500 tandem mass spectrometer (Sciex, Darmstadt, Germany) equipped with a turbospray ion source, operated in negative ionization mode. The ion spray voltage was maintained at −4,500 eV and the turbo gas temperature was set at 700°C. Nebulizing gas was set at 60 psi, curtain gas at 40 psi, heating gas at 60 psi, and collision gas at medium level. Multiple reaction monitoring (MRM) was used to monitor analyte parent ion → product ion formation for each analyte as displayed in Supplemental Table S21. The analysis of phenolic acids in P. x canescens leaf material and enzyme assays with PtCNL1/4–7 was conducted using the same analytical parameters and equipment as listed above, but using aqueous acetic acid (0.1% (v/v)) and acetonitrile as mobile phases A and B, respectively. The mobile phase flow rate was 1.1 mL min−1. The elution profile used is listed in Supplemental Table S20 as gradient B. Identification and quantification of compounds were performed using standard curves made from authentic standards. Quantification of sulfated salicinoids and salirepin was conducted as described previously in Lackus et al. (2020) and phytohormone quantification was conducted as described previously in Irmisch et al. (2014). In brief, an Agilent 1260 infinity II LC system (Agilent Technologies) coupled to a QTRAP 6500 tandem mass spectrometer (Sciex) was used for the analysis. Chromatographic separation was achieved using a Zorbax Eclipse XDB-C18 column (50 × 4.6 mm, 1.8 μm, Agilent Technologies), and aqueous formic acid (0.05% (v/v)) and acetonitrile as mobile phases A and B, respectively. The mobile phase flow rate was 1.1 mL/min. The elution profile is listed in Supplemental Table S20 as gradient C. The tandem mass spectrometer was equipped with a turbospray ion source, operated in negative ionization mode. The ion spray voltage was maintained at −4,500 eV and the turbo gas temperature was set at 650°C. Nebulizing gas was set at 70 psi, curtain gas at 40 psi, heating gas at 70 psi, and collision gas at medium level. MRM was used to monitor analyte parent ion → product ion formation for each analyte as displayed in Supplemental Table S21. Data acquisition and processing was performed using Analyst 1.6.3 (Sciex) and MultiQuant 3.0.3 (Sciex) software.
Targeted analysis for label incorporation. The analysis of P. trichocarpa leaf material concerning the incorporation of D7-cinnamic acid was conducted using the same analytical parameters and equipment as described in the previous section “Targeted analysis for quantification”, but MRM for labeled compounds were added as displayed in Supplemental Table S21. MRM for nonlabeled compounds were used as described in the section “Targeted analysis for quantification” (Supplemental Table S21), except that for each compound the DP value was set at −60 V.
Analysis of enzyme products. Products of CNL, CHD, and KAT enzymes were measured using an Agilent 1260 infinity II LC system (Agilent Technologies, Santa Clara, CA, USA), coupled to a QTRAP 6500 tandem mass spectrometer (Sciex, Darmstadt, Germany) equipped with a turbospray ion source, operated in negative ionization mode. The ion spray voltage was maintained at −4,500 eV and the turbo gas temperature was set at 650°C. Nebulizing gas was set at 60 psi, curtain gas at 40 psi, heating gas at 60 psi, and collision gas at medium level. The chromatographic separation was conducted using a Zorbax Eclipse XDB-C18 column (50 × 4.6 mm, 1.8 μm, Agilent Technologies), and aqueous ammonium acetate (20 mM (v/v) (A)) and acetonitrile (B) as mobile phases. The elution profile is displayed in Supplemental Table S20 as gradient D, and gradient E. The flow rate was 1.1 ml min−1, and the column temperature was maintained at 20°C. The MRM mode was used to monitor precursor ion → product ion reactions for each analyte as listed in Supplemental Table S21. Data acquisition and processing were performed using Analyst 1.6.3 (Sciex) and MultiQuant 3.0.3 (Sciex) software.
HPLC-UV analysis for salicinoid quantification
Salicinoid content was analyzed and quantified by HPLC-UV (200 nm) as described previously in Böckler et al. (2013) for the compounds salicin, salicortin, tremulacin, and homaloside D. The 6′-O-benzoylsalicortin content was analyzed and quantified by HPLC-UV (200 nm) as described in Lackner et al. (2019).
RNA extraction and reverse transcription
Total RNA was isolated from frozen and ground plant material using the InviTrap Spin Plant RNA Kit (Invitek, Berlin, Germany) according to manufacturer’s instructions. RNA concentration was assessed using a spectrophotometer (NanoDrop 2000c, Thermo Fisher Scientific, Waltham, MA, USA). RNA was treated with DNaseI (Thermo Fisher Scientific) before cDNA synthesis. Single-stranded cDNA was prepared from 1 µg of DNase-treated RNA using SuperScript III reverse transcriptase and oligo (dT12–18) primers (Invitrogen, Carlsbad, CA, USA).
Identification and cloning of putative poplar CNL, CHD, and KAT genes
Putative poplar CNL, CHD, and KAT genes were identified by BLAST analysis using PhCNL (Klempien et al., 2012), PhCHD (Qualley et al., 2012), and PhKAT1 (Van Moerkercke et al., 2009) from petunia (Petunia hybrida) as the respective queries, and the poplar genome as reference (Tuskan et al., 2006; http://www.phytozome.net/poplar). The complete open reading frames of the candidate genes, Potri.017G138400 (PtCNL1), Potri.004G082000 (PtCNL4), Potri.016G034800 (PtCNL5), Potri.006G036200 (PtCNL6), Potri.006G036300 (PtCNL7), Potri.018G082900 (PtCHD1), Potri.010G011900 (PtCHD2), Potri.008G220400 (PtCHD3), Potri.002G216400 (PtKAT1), Potri.001G051900 (PtKAT2), and Potri.001G051800 (PtKAT3), were amplified from leaf cDNA, inserted into the E. coli expression vector pET100/D-TOPO (Thermo Fisher Scientific), and cloned genes were fully sequenced (Supplemental Table S22). Potri.T116700 (PtCNL3) could not be amplified and cloned.
Phylogenetic analysis and amino acid alignment
An alignment of putative P. trichocarpa CNL genes and characterized CNL genes from Arabidopsis (A. thaliana) and petunia was constructed using the MUSCLE (codon) algorithm (gap open, −2.9; gap extend, 0; hydrophobicity multiplier, 1.5; clustering method, UPGMB) implemented in MEGA6 (Tamura et al., 2013). Tree reconstruction was done with MEGA6 using a Maximum Likelihood algorithm (model/method, Tamura 3-parameter model; substitutions type, nucleotide; rates among sites, uniform rates; gaps/missing data treatment, partial deletion; site coverage cutoff, 80%). A bootstrap resampling analysis with 1,000 replicates was performed to evaluate the tree topology. Amino acid alignments of putative poplar CNL, CHD, and KAT enzymes, together with the already characterized Arabidopsis and petunia enzymes were constructed with MEGA6 and visualized with BioEdit (http://www.mbio.ncsu.edu/bioedit/bioedit.html).
RNAseq and RT-qPCR analysis
Total RNA was extracted from leaf material as described above, TruSeqRNA-compatible libraries were prepared, and PolyA enrichment was performed before sequencing the transcriptomes of four control and four herbivore-treated P. trichocarpa leaves on an IlluminaHiSeq 2500 sequencer (Max Planck Genome Centre, Cologne, Germany) with 18 Mio reads per library, 100 bp, single end. Trimming of the obtained Illumina reads and mapping to the poplar gene model version 3.0 (https://phytozome.jgi.doe.gov/pz/portal.html) were performed with the program CLC Genomics Workbench (Qiagen Bioinformatics, Venlo, Netherlands; mapping parameter: length fraction, 0.7; similarity fraction, 0.9; maximum number of hits, 25). Empirical analysis of digital gene expression (EDGE) implemented in the program CLC Genomics Workbench was used for gene expression analysis.
For RT-qPCR analysis, cDNA was prepared as described above and diluted 1:10 with water. For the amplification of CNL, CHD, and KAT gene fragments, primers were designed having a Tm ≥ 60°C, a GC content between 50% and 60%, and a primer length of ∼20 nucleotides (Supplemental Table S23). The specificity of the primers was confirmed by agarose gel electrophoresis, melting curve analysis, standard curve analysis, and sequence verification of cloned PCR amplicons. Ubiquitin (UBQ), actin, elongation factor 1 alpha (EF1α), histone superfamily protein H3 (HIS), and tubulin (TUB) were tested as reference genes (Ramírez-Carvajal et al., 2008; Xu et al., 2011; Wang et al., 2014). Comparison of ΔCq values and the corresponding standard deviation revealed TUB as most valid reference gene for expression analysis in P. trichocarpa samples (Supplemental Table S24). Based on previous studies from Irmisch et al. (2013) and Günther et al. (2019), UBQ was used as reference gene for expression analysis in transgenic and nontransgenic P. x canescens leaves. Gene expression analysis was performed with an initial incubation at 95°C for 3 min followed by 40 cycles of amplification (95°C for 10 s, 60°C for 10 s). For all measurements, plate reads were taken at the end of the extension step of each cycle, and data for the melting curves were recorded at the end of cycling from 60°C to 95°C. All samples were run on the same PCR machine (Bio-Rad CFX Connect Real-Time PCR Detection System (Bio-Rad Laboratory, Hercules, CA, USA)) in an optical 96-well plate, using Brilliant III SYBR Green QPCR Master Mix (Stratagene, San Diego, CA, USA). For analyzing gene expression in P. trichocarpa, four biological replicates were analyzed, each as technical triplicates. Expression analysis of the P. x canescens knockdown trees, WT trees, and EV trees was conducted for all biological replicates in technical triplicates.
Heterologous expression of CNL, CHD, and KAT genes
The E. coli strain BL21 Star™ (DE3; Thermo Fisher Scientific) was used for heterologous expression of Potri.017G138400 (PtCNL1), Potri.004G082000 (PtCNL4), Potri.016G034800 (PtCNL5), Potri.006G036200 (PtCNL6), Potri.006G036300 (PtCNL7), Potri.018G082900 (PtCHD1), Potri.010G011900 (PtCHD2), Potri.008G220400 (PtCHD3), Potri.002G216400 (PtKAT1), Potri.001G051900 (PtKAT2), and Potri.001G051800 (PtKAT3). Cultures were grown at 37°C, induced at an OD600 = 0.6 with 1 mM IPTG, subsequently placed at 18°C, and grown for another 18 h. The cells were collected by centrifugation and resuspended in chilled extraction buffer (100 mM potassium phosphate, 150 mM KCl, 10% glycerol (v/v), 20 mM imidazole, 300 mM NaCl, 0.5 mg/mL lysozyme, 10 U/mL Benzonase Nuclease (Merck), 7 mM β-mercaptoethanol, protease-inhibitor mix HP (according to manufactures instruction, Serva Electrophoresis GmbH, Heidelberg, Germany), pH 7.5). After 30 min incubation on ice, the cells were disrupted by five cycles of freezing the samples in liquid N and thawing them in a water bath at 25°C. Afterward, the samples were centrifuged for 30 min at 4°C with 15,000g (2 times), and the supernatant was used for further affinity-based purification with the HisPur Cobalt Resin (Thermo Fisher Scientific), following the manufacturer’s instructions. Purified proteins were desalted and concentrated via Amicon Ultra-0.5 Centrifugal Filter Devices (Merck Millipore, Merck KGaA, Darmstadt, Germany), according to manufacturer’s instruction, into a storage buffer (pH 7.5) containing 20 mM potassium phosphate and 10% glycerol (v/v). Protein concentration was determined by the Bradford method (Bradford, 1976), using the Quick StartTM Bradford 1× Dye Reagent (Bio-Rad Laboratory, Hercules, CA, USA). To determine the catalytic activity of the recombinant enzymes, the following enzyme assays were performed; CNL: 1.5 µg purified protein, 0.2 mM substrate (trans-cinnamic acid, 2-hydroxycinnamic acid, 4-hydroxycinnamic acid, caffeic acid, ferulic acid, benzoic acid), 2.5 mM ATP, 2.5 mM MgCl2, 50 mM KCl, 2 mM CoA in a total volume of 100 µL; CHD: 3 µg purified protein, 0.2 mM substrate (cinnamoyl-CoA (TransMIT GmbH, Gießen, Germany); 2-hydroxycinnamoyl-CoA (TransMIT GmbH); 4-hydroxycinnamoyl-CoA (MicroCombiChem, Wiesbaden, Germany), 2.5 mM MgCl2, 1 mM pyruvic acid, 1 mM NAD+, 2 mM CoA, 2 U lactate dehydrogenase in a total volume of 100 µl. All assays were incubated for 1 h at 25°C under shaking at 300 rpm, and stopped by the addition of equal volumes of methanol. The determination of the relative enzymatic activity was conducted in technical triplicates. The enzymatic activity of poplar KAT enzymes was determined in combined assays with PtCHD1 as follows: 1 µg purified protein PtKAT, 5 µg purified protein PtCHD1, 0.2 mM substrate (cinnamoyl-CoA; 2-hydroxycinnamoyl-CoA; 4-hydroxycinnamoyl-CoA), 25 mM MgCl2, 1 mM pyruvic acid, 1 mM NAD+, 2 mM CoA, 2 U lactate dehydrogenase, 50 mM KCl in a final volume of 150 µL. All assays were incubated for 1 h at 25°C under shaking at 300 rpm, only containing the purified PtCHD1 protein. After the first incubation, the respective PtKAT enzyme was added to the enzyme assays and incubated again for 1 h at 25°C under shaking at 300 rpm. The reactions were stopped by the addition of equal volumes of methanol and all assays were conducted in technical triplicates. Enzyme assays were analyzed via LC-MS/MS as described in the sections “Analysis of enzyme products” and “Targeted analysis for quantification”.
Vector construction and transformation of poplar
The construction of the binary vector was performed as described by Levée et al. (2009). The transformation of the P. × canescens clone INRA 7171-B4 followed a protocol published by Meilan and Ma (2007). To target CNL1 and 4 mRNA together, a fragment between position 1286 and 1412 of the coding sequence of PtCNL1 and 4 was selected. Transgenic RNAi plants were amplified by micropropagation as described by Behnke et al. (2007). Saplings of ∼10 cm high were repotted to soil (Klasmann potting substrate) and propagated in a controlled environment chamber for around six weeks (day, 22°C; night, 18°C; 65% relative humidity; 16-h/8-h light/dark cycle) before they were transferred to the greenhouse. To test the level of gene silencing, RT-qPCR analysis was done on WT plants, EV control plants, and RNAi plants.
Statistical analyses
Throughout the article, data are presented as means ± standard errors (se). Statistical analysis was done with SigmaPlot 11.0 for Windows (Systat Software Inc.). The statistical analyses performed are mentioned in the figure and table legends for the respective experiments. Student’s t tests (STs) were conducted to determine statistical significant differences between control and herbivore-treated P. trichocarpa leaves. Whenever necessary, the data were log-transformed to meet statistical assumptions such as normality and homogeneity of variances. In case that the statistical assumptions could not be fulfilled, nonparametric Mann–Whitney (MW) Rank Sum Test analyses were conducted. The statistical analyses performed are displayed for each compound in the respective figures and tables in parentheses (ST or MW). Four independent RNAi-knockdown lines (RNAi 1–4), three independent EV lines (EV 1–3), and one WT line were generated (biological replicates). Through the propagation of monoclonal stem cuttings, 3–6 technical replicates of each line have been generated and analyzed. The collected data for the technical replicates have been averaged to obtain the data for each biological replicate. Data are displayed as means ± se for the technical and biological replicates. ST analyses, or in case that statistical assumptions could not be fulfilled, nonparametric MW Rank Sum Test analyses have been performed as two-group comparison between the RNAi and the WT/EV trees (biological replicates, n = 4). The statistical analyses performed are given for each compound in the respective figures, and tables in parentheses (ST or MW). For analysis and quantification of volatile and nonvolatile herbivore-induced compounds from P. x canescens trees, the level of herbivory was included. Transcriptome analysis has been conducted by using the EDGE implemented in the program CLC Genomics Workbench (QIAGEN). The EDGE test was performed as a two-group comparison (Robinson and Smyth, 2007) as part of the edgeR Bioconductor package (Robinson et al. 2010). The default settings of the EDGE test have been used for the transcriptome analysis as implemented in the CLC Genomics Workbench program (https://digitalinsights.qiagen.com/).
Accession numbers
Sequence data for PtCNL1 (MT952989), PtCNL4 (MT952990), PtCNL5 (MT952991), PtCNL6 (MT952992), PtCNL7 (MT952982), PtCHD1 (MT952986), PtCHD2 (MT952987), PtCHD3 (MT952988), PtKAT1 (MT952983), PtKAT2 (MT952984), and PtKAT3 (MT952985) can be found in the NCBI GenBank (https://www.ncbi.nlm.nih.gov/genbank/) under the corresponding identifiers. Raw reads of the RNAseq experiment were deposited in the NCBI Sequence Read Archive (SRA) under the BioProject accession PRJNA660618.
Data availability
All supporting data are included as additional files. Constructs described in this work and datasets analyzed during the current study are available from the corresponding author upon request. Sequences were deposited in GenBank (see “Materials and Methods” section).
Supplemental Data
The following materials are available in the online version of this article.
Su pplemental Figure S1 . Cladogram analysis of putative poplar CNL genes, characterized poplar 4-coumarate-CoA ligase (4CL) genes, and characterized CNL genes from other plants.
Supplemental Figure S2 . Amino acid sequence comparison of putative Populus trichocarpa CNL Potri.017G138400 (PtCNL1), Potri.T116700 (PtCNL3), Potri.004G082000 (PtCNL4), Potri.016G034800 (PtCNL5), Potri.006G036200 (PtCNL6), and Potri.006G036300 (PtCNL7) with the characterized CNL from Petunia hybrida (Ph) and A. thaliana (AtBZO1).
Supplemental Figure S3 . Amino acid sequence comparison of putative Populus trichocarpa cinnamoyl-CoA hydratases/dehydrogenases (CHD) Potri.018G082900 (PtCHD1), Potri.010G011900 (PtCHD2), and Potri.008G220400 (PtCHD3) with the characterized CHD from Petunia hybrida (Ph).
Supplemental Figure S4 . Amino acid sequence comparison of putative Populus trichocarpa 3-ketoacyl-CoA thiolases (KAT) Potri.002G216400 (PtKAT1), Potri.001G051900 (PtKAT2), and Potri.001G051800 (PtKAT3) with the characterized KAT1 from Petunia hybrida (Ph).
Supplemental Figure S5 . Enzymatic activity of Populus trichocarpa cinnamate-CoA ligases (PtCNL), cinnamoyl-CoA hydratase/dehydrogenases (PtCHD), and 3-ketoacyl-CoA thiolases (PtKAT).
Supplemental Figure S6 . Gene expression analysis of poplar CNL, CHD, and KAT.
Supplemental Figure S7 . RNAi-mediated knockdown of the CNL1 and 4 in Populus x canescens.
Supplemental Figure S8 . RNAi-mediated knockdown of the CNL1 and 4 in Populus x canescens.
Supplemental Figure S9 . Effect of RNAi-mediated knockdown of the CNL1 and 4 in Populus x canescens on the emission of aromatic compounds.
Supplemental Figure S10 . Effect of RNAi-mediated knockdown of the CNL1 and 4 in Populus x canescens on the formation of salicinoids.
Supplemental Table S1 . Volatiles (ng g−1 h−1 fw) emitted from undamaged (control) and Chrysomela populi-damaged (herbivory) Populus trichocarpa leaves.
Supplemental Table S2 . Content of nonpolar compounds (µg/g fresh weight) in undamaged (control) and Chrysomela populi-damaged (herbivory) Populus trichocarpa leaves.
Supplemental Table S3 . Aromatic amino acid and aromatic carboxylic acid content (µg/g dry weight) in undamaged (control) and Chrysomela populi-damaged (herbivory) Populus trichocarpa leaves.
Supplemental Table S4 . Phytohormone content (ng/g dry weight) in undamaged (control) and Chrysomela populi-damaged (herbivory) Populus trichocarpa leaves.
Supplemental Table S5 . Incorporation of D7-cinnamic acid (D7-CA) into aromatic carboxylic acids in Chrysomela populi-damaged Populus trichocarpa leaves.
Supplemental Table S6 . Predicted subcellular localization of poplar cinnamate-CoA ligases (PtCNL).
Supplemental Table S7 . Predicted subcellular localization of poplar cinnamoyl-CoA hydratases/dehydrogenases (PtCHD) and 3-ketoacyl-CoA thiolases (PtKAT).
Supplemental Table S8 . Enzymatic activity of Populus trichocarpa cinnamate-CoA ligases (PtCNL) assayed with different substrates.
Supplemental Table S9 . Enzymatic activity of Populus trichocarpa cinnamoyl-CoA hydratases/dehydrogenases (PtCHD) assayed with different substrates.
Supplemental Table S10 . Enzymatic activity of Populus trichocarpa 3-ketoacyl-CoA thiolases (PtKAT) assayed with different substrates.
Supplemental Table S11 . Enzymatic activity of Populus trichocarpa 3-ketoacyl-CoA thiolases (PtKAT) assayed with different substrates.
Supplemental Table S12 . Volatiles (ng g−1 h−1 fresh weight) emitted from Chrysomela populi-damaged Populus x canescens leaves of CNL1 and 4 knockdown (RNAi), EV, and WT trees
Supplemental Table S13 . Volatiles (ng g−1 h−1 fresh weight) emitted from Chrysomela populi-damaged Populus x canescens leaves of CNL1 and 4 knockdown (RNAi), EV, and WT trees.
Supplemental Table S14 . Content of nonpolar benzenoid compounds (µg/g fresh weight) in Chrysomela populi-damaged Populus x canescens leaves of CNL1 and 4 knockdown (RNAi), EV, and WT trees.
Supplemental Table S15 . Content of nonpolar benzenoid compounds (µg/g fresh weight) in Chrysomela populi-damaged Populus x canescens leaves of CNL1 and 4 knockdown (RNAi), EV, and WT trees.
Supplemental Table S16 . Benzenoid carboxylic acid content (µg/g dry weight) in Chrysomela populi-damaged Populus x canescens leaves of CNL1 and 4 knockdown (RNAi), EV, and WT trees.
Supplemental Table S17 . Benzenoid carboxylic acid content (µg/g dry weight) in Chrysomela populi-damaged Populus x canescens leaves of CNL1 and 4 knockdown (RNAi), EV, and WT trees.
Supplemental Table S18 . Phenylpropanoid carboxylic acid content (µg/g dry weight) in Chrysomela populi-damaged Populus x canescens leaves of CNL1 and 4 knockdown (RNAi), EV, and WT trees.
Supplemental Table S19 . Phenylpropanoid carboxylic acid content (µg/g dry weight) in Chrysomela populi-damaged Populus x canescens leaves of CNL1 and 4 knockdown (RNAi), EV, and WT trees.
Supplemental Table S20 . HPLC gradients used for separation and analysis of metabolites.
Supplemental Table S21 . Parameters used for LC-MS/MS analysis.
Supplemental Table S22 . Oligonucleotides used for the amplification of full-length Populus trichocarpa (Pt) CNL, CHD, and KAT.
Supplemental Table S23 . Oligonucleotides used for gene expression analysis of Populus trichocarpa (Pt) CNL, CHD, and KAT by RT-qPCR.
Supplemental Table S24 . Expression levels of potential housekeeping genes in undamaged (control) and Chrysomela populi-damaged (herbivory) Populus trichocarpa leaves.
Supplementary Material
Acknowledgments
We thank all gardeners of the Max Planck Institute for Chemical Ecology for their help with rearing poplar trees, and Marion Stäger for excellent technical assistance. For providing C. populi beetles, we thank Sybille B. Unsicker and her group members at the Max Planck Institute for Chemical Ecology. We thank C. Peter Constabel for helpful comments on the manuscript.
Funding
The research was funded by the Max Planck Society.
Conflict of interest statement. The authors declare that they have no competing interests.
N.D.L., J.G., and T.G.K. designed the research. N.D.L. and A.S. carried out the experimental work. N.D.L., A.S., and T.G.K. analyzed data. N.D.L. and T.G.K. wrote the manuscript. All authors read and approved the final manuscript.
The author responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (https://academic.oup.com/plphys/pages/general-instructions) is: T.G.K. (koellner@ice.mpg.de).
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All supporting data are included as additional files. Constructs described in this work and datasets analyzed during the current study are available from the corresponding author upon request. Sequences were deposited in GenBank (see “Materials and Methods” section).