1 Running Head: Label-free in vivo SRS analysis of plant cuticle. 2 3 Corresponding author (Stimulated Raman Scattering Microscopy and Submission): 4 Julian Moger, Physics and Astronomy, Physics Building, College of Engineering, Mathematics 5 and Physical Sciences, University of Exeter, Stocker Road, Exeter, U.K. 6 EX4 4QL. 7 +44 (0) 1392 724181 8 J.Moger@exeter.ac.uk 9 10 Corresponding author (Plant Cuticle): John Love, Biosciences, Geoffrey Pope Building, 11 College of Life and Environmental Sciences, University of Exeter, Stocker Road, Exeter, U.K. 12 EX4 4QD. 13 +44 (0) 1392 725169 14 J.Love@exeter.ac.uk 15 16 17 Research Area: Breakthrough Technologies. 18 1 19 IN VIVO CHEMICAL AND STRUCTURAL ANALYSIS OF PLANT CUTICULAR WAXES USING STIMULATED 20 RAMAN SCATTERING (SRS) MICROSCOPY 21 22 George R. Littlejohn1*, Jessica C. Mansfield2*, David Parker3, Rob Lind4, Sarah Perfect4, Mark 23 Seymour4, Nicholas Smirnoff1, John Love1 and Julian Moger2 24 25 1 26 Exeter, Stocker Road, Exeter, Devon, EX4 4QD. U.K. Biosciences, Geoffrey Pope Building, College of Life and Environmental Sciences, University of 27 28 2 29 Sciences, Stocker Road, University of Exeter, Exeter, Devon, EX4 4QL. U.K. Physics and Astronomy, Physics Building, College of Engineering, Mathematics and Physical 30 31 3 32 Westhollow Technology Center, 3333 Highway 6 South, Houston, TX 77082-3101. U.S.A. Biodomain Technology Group, Shell International Exploration and Production Inc., 33 34 Syngenta, Jealott’s Hill International Research Centre, Bracknell, Berkshire, RG42 6EY U.K. 4 35 36 *These authors contributed equally to the research. 37 38 One-Sentence Summary of the Research: Stimulated Raman Microscopy is a new in vivo 39 imaging technique that enables simultaneous chemical and structural analysis of plant cuticle. 40 41 Footnotes: This work was supported by grants from the Biotechnology and Biological Sciences 42 Research Council (J.L, J.M), Shell Research Ltd. (J.L), and Syngenta (J.M). 43 2 44 Abstract 45 The cuticle is a ubiquitous, predominantly waxy layer on the aerial parts of higher plants that 46 fulfils a number of essential physiological roles, including regulating evapotranspiration, light 47 reflection and heat tolerance, control of development, and providing an essential barrier 48 between the organism and environmental agents such as chemicals or some pathogens. The 49 structure and composition of the cuticle are closely associated, but are typically investigated 50 separately using a combination of structural imaging and biochemical analysis of extracted 51 waxes. 52 including Fourier transform infrared spectroscopy (FTIR) microscopy and coherent anti-Stokes 53 Raman spectroscopy (CARS) microscopy, have been used to investigate the cuticle, but the 54 detection sensitivity is severely limited by the background signals from plant pigments. 55 We present a new method for label-free, in vivo structural and biochemical analysis of plant 56 cuticles based on stimulated Raman scattering (SRS) microscopy. As a proof-of-principle, we 57 used SRS microscopy to analyse the cuticles from a variety of plants, at different times in 58 development. We demonstrate the SRS virtually eliminates the background interference 59 compared to CARS imaging, and results in label-free chemically specific, confocal images of 60 cuticle architecture with simultaneous characterisation of cuticle composition. This innovative 61 use of the SRS spectroscopy may find applications in agrochemical R&D or in studies of wax 62 deposition during leaf development and, as such, represents an important step in the study of 63 the higher plant cuticle. Recently, techniques that combine stain-free imaging and biochemical analysis, 64 3 65 Introduction 66 67 The Plant Cuticle 68 The majority of land plants possess an extracellular, waxy cuticle that covers the surface of their 69 aerial parts and protects them against desiccation, external physical and chemical stresses and 70 a variety of biological agents (Grncarevic and Radler 1967; Ristic and Jenks 2002; Krauss et al. 71 1997; Barthlott and Neinhuis, 1997; Yeats and Rose, 2013). The cuticle is a composite layer 72 composed mainly of cutin and overlaid by cuticular waxes. Cutin is a macromolecular structure 73 consisting primarily of hexadecanoic (palmitic) and octadecenoic (vaccenic) acids that are 74 covalently linked by ester bonds, to generate a rigid, three-dimensional network that is 75 embedded with polysaccharides. Cuticular waxes are composed of long-chain (C20-C40) 76 aliphatic molecules derived from fatty acids (Samuels et al. 2008) and studies over the last 77 several decades have identified structural and regulatory constituents of the biosynthetic 78 pathways of cuticular components (Kolattukudy 1981; Beisson et al. 2012). In addition to the 79 physio-chemical properties conferred by its lipid components, the architecture of the cuticle 80 plays an essential role in physiological function. 81 properties of the cuticular structure, the extraordinary super-hydrophobicity of the Lotus leaf has 82 been mimicked in micro and nano-technology to generate self-cleaning surfaces (Jung and 83 Bhushan 2006; Koch et al., 2009; Bhushan et al. 2009). 84 As may be expected given the diversity of plants, the habitats they inhabit and individual life- 85 histories, the morphology and composition of plant cuticle varies extensively between and within 86 species and includes plate, needle and pillar shaped wax crystals (Barthlott et al., 2008). In 87 some species, cuticular wax composition is known to vary with depth giving rise to chemically 88 distinguishable layers (Yeats and Rose, 2013). Finally, the cuticle is increasingly shown to be 89 important in development (Koornneef et al., 1989; Yeats and Rose, 2013) and pathogenesis 90 (Lee and Dean, 1994; Gilbert et al. 1996; Bessire et al., 2007; Delventhal et al., 2014). It is 91 therefore unsurprising that interest in cuticle composition, structure and physiology is increasing 92 (Heredia-Guerrero et al., 2014; Buschhaus et al., 2014; Xu et al., 2014; Hen-Aviv et al., 2014). 93 Moreover, a greater understanding of the relationship between structure and chemical 94 composition of cuticle waxes is vital for enhancing agriculture yields as it will further our 95 knowledge of how plants regulate water balance, and inform the application of nutrition (foliar 96 feeds) and pesticides, leading to improved formulation strategies for agrochemicals. For example, through understanding the 97 98 The chemical composition and topological architecture of cuticular waxes are both critical for 99 optimal physiological function. Analyses of these essential properties have typically been 100 performed separately. 101 chromatography; cuticle ultrastructure may be analysed using destructive imaging techniques Cuticle wax composition is normally determined using gas- 4 102 such as scanning electron microscopy (Baker and Holloway 1971; Jetter et al., 2000; Barthlott 103 et al. 2008) and laser desorption ionising mass spectroscopy (Jun et al., 2010) or, in vivo, using 104 non-destructive real-time techniques including white light scanning interferometry (Kim et al., 105 2011), atomic force microscopy (Koch et al., 2004), confocal microscopy in reflectance mode 106 (Veraverbeke et al., 2001), fluorescence microscopy of chemical stains (Pighin, et al., 2004), 107 CARS microscopy (Yu et al., 2008; Weissflog et al., 2010) and total internal reflection Raman 108 spectroscopy (Greene and Bain, 2005). Despite the advances in our understanding of the 109 cuticle that have been made with these techniques, there is a great need for techniques that 110 combine chemical and structural information to provide in-situ high-resolution chemical analysis 111 of epicuticle waxes. 112 113 Techniques based on vibrational spectroscopy offer in-situ chemical analysis derived from the 114 vibrational frequencies of molecular bonds within a sample. However, due to water absorption 115 and the intrinsically low spatial resolution associated with the long infrared (IR) wavelengths 116 required to directly excite molecular vibrations, IR absorption techniques have limited value for 117 bio-imaging. Raman scattering however, provides analysis of vibrational frequencies by 118 examining the inelastic scattering of visible light. Raman scattered light is frequency-shifted with 119 respect to the incident light by discrete amounts that correspond to the vibrational frequencies 120 of molecular bonds within the sample. The spectrum of Raman scattered light consists of a 121 series of discrete peaks that each correspond to a molecular bond and can be regarded as a 122 chemical fingerprint holding a wealth of information regarding chemical composition. 123 Unfortunately, Raman scattering is an extremely weak effect and typical signals from biological 124 samples are at least six orders of magnitude weaker than those from fluorescent labels. This 125 severely limits the application of Raman for studying living systems since long acquisition times 126 (100 ms to 1 s per pixel) and relatively high excitation powers (several hundred mW) are 127 required to image most biomolecules with sufficient sensitivity. Furthermore, the lack of 128 sensitivity is compounded by autofluorescence, which in plant tissues completely overwhelms 129 the Raman signal, prohibiting its application in-planta. 130 131 Far stronger Raman signals can be obtained using coherent Raman scattering (CRS) (Min et al, 132 2011). CRS achieves a Raman signal enhancement by focusing the excitation energy onto a 133 specific molecular vibrational frequency (see Fig 1 (a)). A pump and Stokes beam, with 134 frequencies ωp and ωS respectively, are incident upon the sample with their frequency 135 difference (ωp – ωS) tuned to match the molecular vibrational frequency of interest (Ω). Under 136 this resonant condition the excitation fields efficiently drive bonds to produce a strong non-linear 137 coherent Raman signal. When applied in microscopy format the non-linear nature of the CRS 138 process confines the signal to a sub-micron focus that can be scanned in space, allowing three- 5 139 dimensional ‘confocal-like’ mapping of biomolecules. CRS microscopy has particular 140 advantages for bio-imaging: 141 (1) Chemically specific contrast is derived from the vibrational signature of endogenous 142 biomolecules with in the sample, negating the need for extraneous labels/stains. 143 (2) Low energy near-IR excitation wavelengths can be employed which reduce photodamage 144 and increase depth penetration into scattering tissues. 145 (3) The CRS process does not leave sample molecules in an excited state it does not suffer 146 from photobleaching and can be used for time-course studies. 147 148 Coherent Raman scattering microscopy may be achieved by detecting either coherent anti- 149 Stokes Raman scattering (CARS) or stimulated Raman scattering (SRS). 150 151 Coherent anti-Stokes Raman scattering (CARS) microscopy 152 CARS microscopy relies on detection of the anti-Stokes signal generated at frequency ωas = 153 2ωp – ωS, which, by using filters, is spectrally isolated from the pump and Stokes beams, and its 154 intensity used to map the location of biomolecules of interest (Zumbusch et al, 1999). The 155 CARS signal is blue-shifted with respect to the pump and Stokes wavelengths (see Fig. 1(b)) 156 making CARS more resilient to sample autofluorescence than spontaneous Raman. However, 157 in highly autofluorescent samples such as plant tissues, the usually weak two-photon 158 fluorescence (also blue-shifted with respect to the excitation wavelengths) overwhelms the 159 CARS signal. Consequently CARS imaging in planta has only been applied to samples with 160 reduced chlorophyll autofluorescence including dried tissues (Zeng et al., 2010, Ding et al., 161 2012), roots (Ly et al., 2007) and cuticle waxes after they have been stripped away from the leaf 162 (Weissflog et al., 2010). 163 164 Stimulated Raman Scattering (SRS) microscopy 165 SRS relies on detecting subtle changes in the intensities of the excitation fields that occur by 166 virtue of stimulated excitation (Freudiger et al, 2008). When the difference frequency, ωp – ωS, 167 matches the frequency of a molecular vibration the Stokes beam intensity (IS) experiences a 168 gain (ΔIS) while the intensity of the pump beam (Ip) experiences a loss (ΔIp), shown in Fig. 1 (c). 169 This transfer of intensity between the excitation beams only occurs when both beams are 170 incident simultaneously on the sample and is measured by detecting the modulation that is 171 transferred to the pump beam after it has passed through the sample when the intensity of the 172 Stokes beam is modulated. The amplitude of the transferred intensity modulation is directly 173 proportional to the concentration of target molecules and by modulating at frequencies above 174 laser noise (>1 MHz) can be detected with a lock-in amplifier with great sensitivity (Ye et al, 175 2009). 6 176 Since SRS is detected at the same wavelength as the excitation fields it is not affected by 177 fluorescent emission and as recently demonstrated by Mansfield (Mansfield et al., 2013), may 178 also be used in the presence of highly pigmented samples such as plant tissues. 179 180 We have recently shown that it is possible use phase-sensitive detection to separate the 181 vibrational SRS signal from the electronic absorption processes (Mansfield et al., 2013). In the 182 current investigation, we used SRS imaging to investigate both the structure and chemical 183 composition of plant cuticular waxes, simultaneously and in-vivo. We compared SRS images of 184 cuticle wax structures from variety of plant species that display characteristic wax morphologies 185 to SEM and CARS images of the leaf surface. We demonstrated that spectroscopic information 186 can be obtained to provide chemically-specific, in-situ analysis of waxes on living leaves with 187 submicron spatial resolution. Using SRS microscopy we compared the cuticle structure and 188 composition between wild type Arabidopsis thaliana and an eciferum-1 (cer1) mutant with 189 impaired cuticle deposition and have also shown that SRS imaging is sufficiently sensitive to 190 track temperature-induced changes in cuticle formation in the salt-cress, Thellungellia 191 salsuginea. We conclude that, with the increasing availability of commercial Raman-based 192 microscopes, SRS imaging has the potential to radically advance our understanding of plant 193 cuticular structure and composition, and their effects on physiology and development. 7 194 Results 195 196 Characterisation of the Raman Spectra of Dissolved Cuticle Waxes. 197 Spontaneous Raman spectra of hexane-extracted wax samples over the CH vibrational region 198 from 2700-3200cm-1 were acquired as a baseline reference for each plant species (Fig. 2). 199 Gaussian peaks were fitted underneath each of the spectra to visualise the relative contribution 200 of different molecular vibrations, based on peaks previously identified in the literature (Greene 201 and Bain, 2005, Snyder et al., 1978, Ho and Pemberton, 1998). The wax extracts from 202 Arabidopsis thaliana, Thellungiella parvula (Saltwater Cress), Musa acuminata (Banana) and 203 Monstera delicosa (Cheeseplant) had similar spectral profiles that matched those reported for 204 other waxes and alkanes reported in the literature (Snyder et al., 1978, Greene and Bain, 2005) 205 and deconvolved into 7 identifiable peaks (Table 1). The peaks, corresponding to the 206 symmetrical and anti-symmetrical CH2 stretch, are prominent on all spectra. The ratio anti- 207 symmetric to symmetric peak height is known to give a strong indication of the alkyl chain 208 conformational order with a ratio 1.6-2 indicating a highly crystalline structure and a ratio of 0.6- 209 0.9 indicating a liquid structure (Ho and Pemberton, 1998, Greene and Bain, 2005, Snyder et 210 al., 1978). For the wax samples analysed here, the ratios were as follows: A. thaliana 1.13, T. 211 parvula 1.58, M. acuminata 1.34 and M. delicosa 1.54, indicating structures intermediate 212 between a highly crystalline structure and a liquid. The curve fits to the spectra also included 213 two Fermi resonances of the CH2 bond one at 2930 cm-1 and another very broad Fermi 214 resonance at approximately 2870 cm-1 (Snyder et al., 1978). The contributions due to the CH3 215 symmetric and anti-symmetric stretches were small as proportionally there are much less of 216 these groups due to the long chain lengths. The fitting parameters for each wax along with the 217 goodness of fit are included in the supplementary information. 218 Two of the species investigated, Dudleya anthonyi (Dudleya) and Xerosicyos danguyi (Silver 219 Dollar Plant), showed dramatically different Raman spectra from A. thaliana, T. parvula, M. 220 acuminata and M. delicosa, characterised by additional peaks which are indicative of a more 221 complex chemical structure, with additional chemical bonds to those described in Table 1. In D. 222 anthonyi, the Raman spectrum changed depending on the number of the hexane wash and 223 hence, we surmise, on the depth of penetration into the cuticle; the initial, most superficial 224 hexane wash showed an unusual Raman spectrum, but subsequent washes that solubilise 225 waxes deeper in the cuticle showed spectra which matched more closely with those of a typical 226 alkane. These differences are most readily explained by both these species possessing a thick, 227 glaucous cuticle compared to the other mesophytes studied, and is an adaptation enabling 228 survival in xeric environments. 229 8 230 In-Vivo Comparison of Coherent anti-Stokes Raman scattering (CARS) and stimulated Raman 231 scattering (SRS) images of plant cuticle. 232 Having characterised the Raman spectra of waxes extracted from the cuticle of a variety of 233 plants, we imaged the cuticles of the same plants in vivo, using both coherent anti-Stokes 234 Raman scattering (CARS) microscopy (Weissflog et al, 2010) and stimulated Raman scattering 235 (SRS) microscopy (Fig. 3). SRS and CARS images of the epicuticular wax layer of T. parvula 236 leaves were acquired simultaneously (Fig. 3) and are presented as the exemplar to compare 237 the two techniques. 238 The 239 autofluorescence from cell walls and chloroplasts (Fig. 3A). This autofluorescence is due to 240 inevitable two photon-absorption by the compounds in these organelles, and the resulting 241 fluorescence emission at similar wavelengths to the CARS signal. Consequently, in the CARS 242 images, only the largest wax crystals can be visualized. 243 Conversely, in the SRS image (Fig. 3B) there is no fluorescent background because the signal 244 measured is not due to a change in wavelength (i.e. fluorescence relative to excitation), but a 245 change in intensity between the excitation lasers (the pump and Stokes beams) following 246 stimulated Raman excitation of the samples. The cuticular wax crystals are clearly visible and 247 the SRS signal spectrally matches that of the spontaneous Raman spectrum of purified cuticular 248 waxes (Fig. 3C). Cell walls are also visible in the SRS images, although with a lesser intensity 249 than the wax crystals, which can be explained by the overlap between the Raman spectra of the 250 cuticular waxes and cellulose. SRS microscopy therefore provides not only clearer images of 251 plant cuticle structure than CARS microscopy, but, due to the low-levels of background noise in 252 the images, also has the capacity to yield information on specific compounds that compose the 253 imaged structures. images acquired using CARS are dominated by high-levels of background 254 255 Comparison of stimulated Raman scattering (SRS) and Scanning Electron Microscope Images 256 of Plant Cuticle. 257 To confirm the capacity of SRS microscopy for accurately resolving cuticular structures, the 258 surface of A. thaliana stems were imaged using SRS microscopy and the more conventional 259 scanning electron microscopy (SEM; Fig. 4). SRS and SEM images of untreated, wild-type 260 stems (Fig. 4A and 4B) show an uneven surface composed of similarly-proportioned globules, 261 although the level of detail is higher in the SEM image. We ascertained that these globular 262 structures were indeed waxes by washing the stems in hexane prior to imaging (Fig. 4C and 263 4B). In this case, both images show that the surface of the stem is smooth, with clearly visible 264 cells and stomata. Finally, stems from A. thaliana defective for ECERIFERUM1 (CER1) gene 265 expression were imaged using either technique (Fig. 4E and 4F). cer1 mutants are impaired in 9 266 cuticle wax biosynthesis (Aarts et al. 1995; Bernard et al. 2012), and the images indeed show 267 stems with markedly reduced surface structures than the wild-type (Fig. 4A and 4B). 268 Unlike SEM which provides information only on the surface topology of imaged samples, SRS 269 microscopy is a technique of multi-photon confocal microscopy that, like conventional confocal 270 microscopy, can penetrate materials and provide information on their subsurface structure. To 271 illustrate this technical capability, we imaged the cuticles of M. acuminate (Banana) and X. 272 danguyi (Silver Dollar Plant; Fig. 5). M. acuminate was chosen as it is a monocot, with a visibly 273 waxy cuticle and regular files of elongated, epidermal cells. X. danguyi was chosen because of 274 its thick, glaucous cuticle composed of different waxes with different Raman spectra. 275 Three-dimensional reconstructions of confocal SRS images of M. acuminate (Fig. 5A and 5C) 276 and X. danguyi (Fig. 5B and 5C) cuticles show very different structures. The M. acuminate 277 cuticle is formed of a number of hair-like projections from the leaf surface. In the comparator 278 SEM image (Fig. 5E), these projections clump together, most likely due to the process of 279 fixation, and show a less even distribution. In contrast, the X. danguyi cuticle has an amorphous 280 surface, supported by a reticulate pattern (6 - 10 µm below the surface) of columnar structures 281 emerging from the leaf epidermis. The amorphous surface of the X. danguyi cuticle is clear on 282 the comparator SEM image (Fig. 5F), but the intriguing cuticle sub-structure is not. 283 The comparison between SRS and SEM images therefore demonstrates that sufficient contrast 284 can be produced using SRS microscopy to provide credible, structural images of waxes with 285 submicron resolution and that correlate well with images from SEM and can provide critical, 286 structural information not previously available. 287 288 Simultaneous Ultrastructural Imaging and Chemical Analysis of Cuticle by stimulated Raman 289 scattering microscopy. 290 As previously noted, SRS imaging relies on the chemically-specific Raman spectrum of the 291 cuticle constituents. To verify the potential of the technique to provide structural and chemical 292 information, simultaneously and in vivo, we first analysed the cuticle of D. anthonyi (Dudleya; 293 Fig. 6). D. anthonyi was selected for this aspect of the investigation because previous work had 294 shown stratification of the composition of cuticular wax in the D. anthonyi cuticle (Jetter et al., 295 2000). 296 Both the SRS (Fig. 6A) and SEM (Fig. 6B) images of the D. anthonyi cuticle show a complex 297 structure; the outer cuticle layer has a structure in which many small wax crystals are amassed 298 together with the deeper layers of the cuticle having a smoother, somewhat reticulated or 299 wavelet-like appearance (Fig. 6D). Most importantly for this investigation, it is clear that the wax 300 composition, as reported by the SRS spectra (Fig. 6C) was different depending on cuticle depth. 301 The SRS spectrum acquired from deeper in the cuticle was most similar to an alkane whereas 10 302 the SRS spectrum from the surface components was markedly different, indicating a different 303 chemical composition. 304 It is well documented that changes in wax composition and deposition during development and 305 in response to abiotic stress or pathogen attack are important in the life history of many plant 306 species (Bourdenx et al 2011, Raffaele et al. 2009). T. salsuginea is particularly interesting 307 because it is a close relative of A. thaliana and T. parvula, and its cuticle composition and 308 structure alters following exposure to prolonged cold treatment or vernalisation (Teusink et al. 309 2002; Amtmann 2009; Xu et al. 2013). 310 To determine whether SRS microscopy could, in principle, document the ultrastructural and 311 chemical changes in cuticle that may occur during plant development, we imaged leaves from 312 T. salsuginea plants that had been grown either in constant temperature or exposed to a 14-day 313 long cold-shock, using SRS microcscopy and SEM (Fig. 7). 314 temperature of 20°C show a cuticle containing aggregates of waxes on the adaxial surface of 315 the leaf (Fig. 7A and 7B), and relatively little cuticular waxes on the abaxial surface (Fig. 7C and 316 7D). However, following incubation at 4˚C for 14 days, a marked alteration in cuticule structure 317 can be observed on both the adaxial and abaxial surfaces (Fig. 7C to 7H): A marked increase 318 in waxy deposits in the cuticle was observed covering the entire leaf. 319 ultrastructural aggregation of the cuticle waxes was smaller and more regular that observed on 320 the adaxial surface of leaves grown in a constant temperature of 20˚C (Fig. 7A and 7B). SRS 321 microscopy therefore precisely reported the anticipated changes in cuticle formation that occur 322 following exposure to cold in T. salsuginea, and, by extension may prove a useful, in vivo tool 323 for investigating other dynamic changes in cuticle architecture and composition during 324 development and in response to environmental or biotic perturbation. Plants grown at a constant Moreover, the 11 325 Discussion 326 327 The cuticle is a composite, hydrophobic layer composed mainly of waxes and cutin secreted 328 from the aerial epidermis of land plants. The cuticle performs a number of physiological roles, 329 notably acting as a barrier to water loss which, in higher plants, enables the exquisite control of 330 evapotranspiration by stomatal guard cells, increasing light reflection and heat tolerance in 331 xerophytes, and providing an essential barrier to the ingress of toxins and pathogens into the 332 plant. 333 techniques that provide only a fragmented understanding of the complexity of this essential 334 structure. 335 In this investigation, we have generated in vivo images of cuticle waxes at sub-micron 336 resolution, using spontaneous Raman scattering (SRS) microscopy. Like other forms of non- 337 linear Raman-based imaging techniques, SRS is label-free and enables the simultaneous 338 acquisition of chemically specific data and confocal quality images. Most importantly, SRS 339 microscopy relies on a change in signal intensity rather than wavelength, so images can be 340 acquired without the strong auto-fluorescent background from chloroplasts and cell walls that 341 hampers the resolution and interpretation of coherent anti-Stokes Raman scattering (CARS) 342 and spontaneous Raman images (Gierlinger et al., 2010, 2012). 343 The structures observed using SRS microscopy compared well to those seen under the SEM, 344 albeit with a lesser degree of resolution due to the inherent limitations of optical microscopy 345 relative to electron microscopy. However, unlike SEM which generates images from the surface 346 of fixed or cryogenically preserved samples, SRS imaging, like other forms of single- or multi- 347 photon laser microscopy, enables information to be acquired in vivo from within the sample and 348 three-dimensional reconstructions of internal structures to be reconstructed. This capacity is 349 particularly advantageous for documenting dynamic changes of topography or composition that 350 may occur and that are otherwise undetectable using fixed samples. 351 As demonstrated here, the chemical specificity of the SRS signal allows differentiation of 352 different wax components from the main constituents of cell walls, cellulose and pectins. In this 353 study, we showed that the xerophytes D. anthonyi and X. danguyi had different cuticular wax 354 compositions to the other, mesophytic plants investigated. Although this result is unsurprising 355 as these plants were selected for precisely their singularly thick and glaucous cuticles, it does 356 demonstrate the potential of SRS for in vivo characterisation of cuticle constituents. 357 Moreover, although we did not attempt in this study to quantify in situ the different compounds 358 for which we acquired SRS spectra, it may be possible to use this technique in a more 359 quantifiable manner to characterise, in vivo, the relative abundance of cuticle or cell wall 360 components and the changes that may occur in response to environmental or developmental 361 stimuli. In this investigation, we have shown that SRS imaging is sufficiently sensitive enough Cuticle topography and composition has mainly been investigated using destructive 12 362 to show developmental changes in wax production in T. salsuginea. Moreover, the technique 363 may be useful for characterising wax biosynthesis mutants, such as the exemplar used here, 364 cer1, which has been shown to have a role in both water use and Arabidopsis interaction with 365 fungal and bacterial pathogens (Bourdenx et al. 2011, Raffaele et al. 2009). SRS microscopy 366 may therefore provide new insights into the physiological responses of plants to drought, 367 temperature, chemicals or pathogens, and underpin the use of alternative model systems such 368 as T. salsuginea (Amtmann 2009) to investigate the control of cuticle deposition. 369 However promising, any new technology or application must be simplified to enable widespread 370 use. 371 However, commercial, user-friendly CARS microscopes that can be converted to SRS imaging 372 exist and, like laser confocal microscopy, will become increasingly common and add real-time, 373 label-free Raman microscopy to the range of imaging techniques widely available to 374 researchers in plant science. Currently, SRS microscopy is somewhat niche and requires specialist knowledge. 375 376 Conclusion 377 The chemical composition and structure of the cuticle in mesophyllous plants are crucial 378 elements for survival, physiology and development. We have shown that spontaneous Raman 379 scattering (SRS) microscopy can be used to acquire in-vivo, three-dimensional images of the 380 cuticle in a variety of plant species that enable simultaneous analysis of cuticle structure and 381 chemical composition. In contrast to coherent anti-Stokes Raman (CARS) microscopy, which is 382 more common, SRS images of plant tissues contain very low autofluorescence from 383 chloroplasts or cell walls and are therefore easier to interpret. Moreover, SRS images compare 384 well with those acquired using scanning electron microscopy (SEM), albeit with the lower 385 resolution that is due to the use of laser light rather than an electron beam. Moreover, we have 386 shown that SRS can be used to track and quantify dynamic changes in cuticle structure and 387 composition in response to environmental stimuli, and therefore increase our understanding of 388 this essential and often overlooked structure. 13 389 Materials and Methods 390 391 Plants. 392 Xerosicyos danguyi (Silver Dollar Plant), Dudleya anthonyi 393 (Banana), Monstera delicosa (Cheeseplant) were grown in soil, in the University of Exeter 394 glasshouses and harvested between February and April 2012. The Photoperiod was set to 16 h, 395 from 05.00 to 21.00. Supplemental lighting and shading was provided to ensure irradiance 396 beween 540 and 720 µmol s-1 m-2. The greenhouse temperature was set to 19.5 ˚C with a 397 standard deviation of 3.7 ˚C. 398 Thellungiella salsuginea and Thellungiella parvula (Saltwater Cress) were grown in a 16 h light / 399 8 h dark (16L/8D) photoperiod, at 20 ˚C, in growth rooms controlled for temperature and 400 humidity. 4 weeks after germination, Thellungiella species were transferred to an ambient 401 temperature of 4 ˚C for two weeks and then returned to 20 ˚C for a further 2 weeks. The light 402 regime remained at 16L/8D during all experiments. Leaves were harvested for imaging and 403 biochemical analysis. (Dudleya), Musa acuminate Arabidopsis thaliana (Mouse-eared Cress; Arabidopsis), 404 405 Purification of Wax from Plant Cuticle. 406 Following excision from plants, leaf surface areas were measured and logged. Leaf surfaces 407 were washed for 30 s in 15 ml HPLC-grade hexane (Sigma, U.K.). The hexane solvent and 408 dissolved cuticular waxes was decanted into a glass vial that had been washed with acetone 409 and dried. Leaves were washed a second time with 2 ml hexane, which was added to the 410 appropriate sample vial. Hexane was evaporated under a continuous stream of N2 to dryness 411 and the cuticle wax re-dissolved in 250 µl hexane. 412 413 Spontaneous Raman Spectroscopy. 414 Spontaneous Raman spectra of purified wax samples were acquired using a Renishaw RM100 415 Raman microscope (Renishaw plc, U.K.), equipped with a 785nm diode laser and a 1200 416 line/mm spectral grating which gave a spectral resolution of 1 cm -1. Samples were mounted on 417 aluminium-coated microscope slides. 418 419 Stimulated Raman Scattering Microscopy. 420 A detailed technical explanation of the materials and methods for stimulated Raman scattering 421 (SRS) microscopy is provided to promote the implementation of the technique as widely as 422 possible. 423 Stimulated Raman Gain Microscopy (SRG) was two laser systems were used: The Stokes 424 beam was provided by the signal output from the picosecond (ps) Optical Parametric Oscillator 425 (Levante, Emerald APE) pumped by the frequency doubled output from a Nd:Van ps oscillator 14 426 (picoTrain, HighQ laser). The pump beam was provided by a Ti:Sapphire laser (MIRA 900 D, 427 Coherent) tuned to 770 nm and operating in ps mode, which was electronically synchronised to 428 the Nd:Van laser (Coherent, Synchro-lock AP) thereby ensuring the laser pulses were 429 temporally overlapped. 430 The 770nm pump beam was amplitude modulated at 1.7MHz using an acousto-optical 431 modulator (AOM) (Crystal Technology Inc., USA, model 3080-122) and combined with the 432 signal output from the OPO using an 850 nm short pass dichroic mirror. Imaging was performed 433 using a modified confocal laser scanning unit (Flouview 300, Olympus, U.K.) and Olympus IX71 434 inverted microscope. The laser light was focused onto the sample using a 60x 1.2 / NA water 435 immersion microscope objective (UPlanS Apo, Olympus, UK). The transmitted light from the 436 sample was collected with a 60x 1.0 / NA water dipping condenser (LUMFI, Olympus, U.K.). 437 The transmitted Stokes beam was detected using a Si: photo-diode (Thorlabs, FDS1010) with a 438 70 V reverse bias. The pump beam was blocked from the photo-diode using an 850 nm long 439 pass filter (hq850lp, Chroma Technologies). The output from the photo-diode was passed 440 through a long pass filter (mini circuits, BLP-1.9+) to remove modulations at the 76 MHz laser 441 repetition rate and terminated by a 50 Ω resistor. The filtered beam was then fed into a lock-in 442 amplifier (Zurich instruments, HF2L1 Lock-in amplifier) that separated out the modulated 443 stimulated Raman scattering (SRS) signal at 1.7 MHz. SRS spectra were obtained by tuning 444 wavelength of signal beam in 0.2 nm intervals and acquiring a series of images. 445 Stimulated Raman gain was measured in preference to stimulated Raman loss, as it allowed 446 the chemically specific Raman signal to be separated from any additional signal due to two 447 photon absorption (Ye et al., 2009) or photo-thermal lensing (Moger et al., 2012; Lu et al., 2010) 448 by phase-sensitive lock-in detection (Mansfield et al., 2013). 449 Fresh, excised plant leaves were mounted in perfluorodecalin (Littlejohn et al., 2010) prior to 450 imaging, which is has been shown not to interfere with Raman-based imaging in plants 451 (Littlejohn et al. 2014; Mansfield et al. 2013). 452 453 454 Scanning Electron Microscopy 455 Leaf samples were imaged using cryogenic scanning electron microscopy. Samples were flash- 456 frozen in liquid N2 slush, transferred to a vacuum and coated in gold using the Gatan Alto 2100 457 system. 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Physical Review Letters, 82, 4142-4145. 676 677 678 679 680 Figure and Table Legends 681 682 Figure 1 Title: Schematic representation of the two coherent Raman scattering processes: 683 coherent anti-Stokes Raman scattering (CARS) and stimulated Raman scattering (SRS). 684 22 685 Figure 1 Legend: Panel A: Energy level diagrams for the CARS and SRS processes, showing 686 the pump (green), Stokes (red) and anti-Stokes (blue) photon energies, 687 Panel B: Diagrammatic representation of the input and output spectra for CARS and SRS, 688 showing the gain and loss in the pump (red) and Stokes (green) beams respectively. 689 Panel C: Diagrammatic representation of the modulation transfer detection scheme used to 690 detect stimulated Raman gain and loss with high sensitivity. 691 692 693 694 Figure 2 Title: Raman spectra and curve fits of plant leaf waxes. 695 696 Figure 2 Legend: A: Raman spectra of cuticle waxes purified from Xerosicyos danguyi (Silver 697 Dollar Plant), Dudleya anthonyi 698 Arabidopsis), Musa acuminate (Banana) and Thellungiella parvula (Saltwater Cress). Peak 699 fitting to the Raman spectra of T. parvula (B), D. antonyi (C) and X. danguyi (D). (Dudleya) Arabidopsis thaliana (Mouse-Eared Cress; 700 701 702 703 Figure 3 Title: 704 images of the Thellungelia parvula leaf surface. Coherent anti-Stokes Raman scattering and stimulated Raman scattering 705 706 Figure 3 Legend: The surface of a leaf from a Thellungelia parvula was simultaneously imaged 707 using coherent anti-Stokes Raman scattering (CARS) microscopy (panel A) and stimulated 708 Raman scattering (SRS) microscopy (panel B). Both images were acquired at 2845cm -1 CH2 709 symmetric stretch. The CARS image (A) is dominated by autofluorescence, and only the largest 710 wax crystals are visible against the background. Conversely, the SRS image (B) is almost 711 background free, enabling the cell walls and wax crystals to be clearly visualised. Panel C 712 shows the spectral scan of the SRS (red crosses) from the wax crystals in situ overlaid onto the 713 spontaneous Raman spectra of purified T. parvula wax (blue line), purified cellulose (green line) 714 and purified pectin (purple line). 715 716 717 718 Figure 4 Title: Stimulated Raman scattering images and scanning electron micrographs of 719 Arabidopsis thaliana cuticle. 720 23 721 Figure 4 Legend: The surface of Arabidopsis thaliana stems were imaged using stimulated 722 Raman scattering microscopy (panels A, C and D) and scanning electron microscopy (panels, 723 B, D and E). 724 ecotype “Landsberg erecta”, with the structure of cuticle wax crystals clearly visible. Panels C 725 and D show the surface of the wild-type A. thaliana stem following a wash in hexane that 726 dissolved the cuticle waxes. Panels E and F show the surface of the stem from a cer 1 A. 727 thaliana mutant. Images A, C and E are generated from 3D stacks taken of a 64 x 64 µm field of 728 view and are displayed in false colour. Panels A and B show the surface of the untreated stem of wild-type A thaliana, 729 730 731 732 Figure 5 Title: Stimulated Raman scattering images and scanning electron micrographs of 733 cuticle of Musa acuminate and of Xerosicyos danguyi. 734 735 Figure 5 Legend: The surface of Musa acuminate (banana) and of Xerosicyos danguyi (Silver 736 dollar Plant) leaves were imaged using stimulated Raman scattering (SRS) microscopy (panels 737 A, B, C and D) and scanning electron microscopy (SEM) (panels E and F). Panel A is a SRS 738 image of the adaxial leaf surface of surface M. acuminate constructed from an image stack from 739 a 64 x 64 µm field of view. Panel B is a SRS image of X. danguyi leaf reconstructed from an 740 image stack from a 126 x 126 µm field of view. Panels C and D are orthogonal views projected 741 from the image stacks presented in A and B, respectively, and show the depth profile of 742 cuticles. Panels E and F are SEM images of the cuticles of M. acuminate and X. danguyi 743 leaves, respectively. 744 745 746 747 Figure 6 Title: Stimulated Raman scattering spectral images of Dudleya anthonyi cuticle. 748 749 Figure 6 Legend: Stimulated Raman scattering (SRS) spectral imaging of Dudleya anthonyi 750 (Dudleya) cuticle waxes shows changes in chemical composition with depth. Panels A and B 751 are, respectively, the SRS and SEM images of D. anthonyi leaf showing the crystalline structure 752 of cuticle wax deposits on the adaxial surface. The image in panel A is a 3-D reconstruction of 753 an image stack taken from a 126 x 126 µm field of view at the 2840 cm -1 Raman shift. Panel C 754 shows the SRS spectral scans taken from the more superficial and deeper wax areas, indicated 755 on Panel D. The blue rectangle indicates an area of superficial wax and the red line delimits an 756 area deeper in the cuticle. The panels on the right and lower sides of the main image in Panel 24 757 D are from the orthogonal views through the stack showing the depth profile image of the cuticle 758 wax. 759 760 761 762 Figure 7 Title: Stimulated Raman scattering images and scanning electron micrographs of 763 cuticle of the cuticle of Thellungiella salsuginea following cold-induced wax biogenesis. Musa 764 765 Figure 7 Legend: Thellungiella salsuginea (Saltwater Cress) leaves were imaged using 766 Stimulated Raman scattering (SRS) spectral imaging and scanning electron microscopy (SEM) 767 before and after cold treatment. Panels A, C, E and G are three dimensional reconstructions of 768 image stacks from a 250 x 250 µm field of view, at the 2840cm -1 Raman shift. Panels B, D, F, 769 and H are SEM images; scalebars represent 50 µm. Panels A-B and C-D are, respectively, from 770 the adaxial and abaxial leaf surfaces of plants grown at 20°C for 8 weeks. Panels E-F and G-H 771 are, respectively, from adaxial and abaxial leaf surfaces of plants grown at 20°C for 4 weeks, 772 then at 4˚C for 2 weeks and at 20 ˚C for a further 2 weeks. 773 774 775 776 Table 1 Title: Raman peaks used in curve fitting for cuticular waxes. 25