Synchrotron based phase contrast X-ray imaging combined with FTIR spectroscopy reveals structural and biomolecular differences in spikelets play a significant role in resistance to Fusarium in wheat
© Lahlali et al.; licensee BioMed Central. 2015
Received: 23 July 2014
Accepted: 27 November 2014
Published: 28 January 2015
Fusarium head blight (FHB), a scab principally caused by Fusarium graminearum Schw., is a serious disease of wheat. The purpose of this study is to evaluate the potential of combining synchrotron based phase contrast X-ray imaging (PCI) with Fourier Transform mid infrared (FTIR) spectroscopy to understand the mechanisms of resistance to FHB by resistant wheat cultivars. Our hypothesis is that structural and biochemical differences between resistant and susceptible cultivars play a significant role in developing resistance to FHB.
Synchrotron based PCI images and FTIR absorption spectra (4000–800 cm−1) of the floret and rachis from Fusarium-damaged and undamaged spikes of the resistant cultivar ‘Sumai3’, tolerant cultivar ‘FL62R1’, and susceptible cultivar ‘Muchmore’ were collected and analyzed. The PCI images show significant differences between infected and non-infected florets and rachises of different wheat cultivars. However, no pronounced difference between non-inoculated resistant and susceptible cultivar in terms of floret structures could be determined due to the complexity of the internal structures. The FTIR spectra showed significant variability between infected and non-infected floret and rachis of the wheat cultivars. The changes in absorption wavenumbers following pathogenic infection were mostly in the spectral range from 1800–800 cm−1. The Principal Component Analysis (PCA) was also used to determine the significant chemical changes inside floret and rachis when exposed to the FHB disease stress to understand the plant response mechanism. In the floret and rachis samples, PCA of FTIR spectra revealed differences in cell wall related polysaccharides. In the florets, absorption peaks for Amide I, cellulose, hemicellulose and pectin were affected by the pathogenic fungus. In the rachis of the wheat cultivars, PCA underlines significant changes in pectin, cellulose, and hemicellulose characteristic absorption spectra. Amide II and lignin absorption peaks, persistent in the rachis of Sumai3, together with increased peak shift at 1245 cm−1 after infection with FHB may be a marker for stress response in which the cell wall compounds related to pathways for lignification are increased.
Synchrotron based PCI combined with FTIR spectroscopy show promising results related to FHB in wheat. The combined technique is a powerful new tool for internal visualisation and biomolecular monitoring before and during plant-microbe interactions to understand both the differences between cultivars and their different responses to disease stress.
Fusarium head blight (FHB) caused by Fusarium graminearum is a serious fungal disease of wheat (Triticum aestivum L.), and barley in Canada and world-wide through which grain quality losses are induced by fungal trichotecene mycotoxins such as deoxynivalenol (DON) [1-4]. The People Republic of China, Canada, parts of southern Africa, Eastern Europe, South America, and the United States all have recorded FHB outbreaks and all countries continue to struggle with this destructive disease [5,6]. Bai and Shaner  reported that wheat scab can greatly reduce grain yield and quality. The infection starts during the crop flowering (anthesis) stage. The fungal spores germinate in the anthers, spread through the anthers into the florets, and into other florets through the nodes in the rachis. Symptoms of FHB in wheat include purple to black necrotic lesions, awn twisting and deformation, bleaching and tanning attributed to blight, and atrophy of the developing grain resulting in “tombstone” kernels [6,8]. Under prolonged warm and moist conditions, signs of the fungus can be seen as pink mycelilal masses on the surface of infected spikes . Occasionally, rachis of a blighted head will be girdled to the loss of the entire spike. Symptoms of FHB on barley include isolated areas of tan to dark brown discoloration as well as evidence of water-soaking restricted to the initially infected inflorescence [6,9]. Other abiotic factors such as freezing damage (Gaeumannomyces graminis var. tritici) can mask classic FHB disease symptoms making disease evaluations difficult. Most often severity is recorded as the number of diseased florets over the total number of florets per spike. Counting the total number of florets on several individual spikes in replicated plots for many genotypes in more than one environment can be a daunting task even for a team of researchers. And finally, with intricate irrigation systems and the total number of person hours needed to score multiple genotypes, the cost of one FHB data point has been reported as six US dollars .
Fungicidal effect on FHB has been variable in different studies. Cultivar resistance, fungicide efficacy, timing, and pathogen aggressiveness are probably some of the reasons for the variable effect of fungicides on FHB [11,12]. Fungicide treatment and agricultural management practices only reduce the damage, but they cannot prevent yield and quality losses . Effective chemical control of FHB has generally been inconsistent . Lower levels of at most 70% effectiveness have been reported for fungicide control in field conditions for naturally infected wheat . Glasshouse and field trials conducted to assess the efficacy of fungicides against FHB yielded conflicting results. A possible explanation for this finding is the complex interaction that may occur between fungicide, FHB, and others fungal colonizers in the plant . In addition, the effectiveness of fungicides against FHB is influenced by complex interaction between rainfall, temperature, fungicide concentration, and the time of application . The complex nature of wheat resistance to FHB makes it difficult to select for via conventional breeding . Until now, no absolute FHB resistance encoded by single dominant resistance genes has been characterized in wheat. Consequently, it is difficult to implement Fusarium resistance into breeding programs. Two major types for resistance have been characterized. Type I resistance stops the pathogen at the level of penetration while type II resistance involves the inhibition of fungal spread within the infected node [19,20]. However, the implementation of quantitative trait loci associated with resistance into commercial wheat varieties is not very easy due to high costs. Unfortunately, most resistant germplasm is of exotic origin and possesses poor agronomic traits; inheritance of resistance is oligogenic to polygenic; and screening for resistance is environmentally biased, tedious, and expensive .
Understanding host-pathogen interactions is important for the rational development of disease resistant plant varieties. Previous studies have used electron, confocal, and light microscopy to determine structural differences between fungal resistant and susceptible cultivars of wheat and barley [1,22-24] . It has been concluded that structural and biochemical characteristics of rachis in resistant lines may play a key role in restricting the progression of FHB . These laboratory based analytical methods are more destructive and chemically less sensitive than synchrotron based techniques. Therefore, we propose to combine the structural and spatially resolved compositional information between resistant and susceptible cultivars to develop a more complete understanding of fungal infection in crops.
The structural visualization is essential to fully understand the structure-function relationship of plants. The structural characteristics of plant parts have been studied using conventional and destructive microscopy techniques such as fluorescence and electron microscopy [23,25]. The results from these techniques are limited by sample preparation constraints and a large area (or number) of an intact plant part cannot be studied. The long term monitoring of a plant or plant part to understand the physiological changes and responses to biotic, abiotic, or nutritional stresses cannot be studied using the above mentioned destructive techniques.
The use of X-rays for agricultural applications started in the 1920s and 3D visualization of structures using X-rays was demonstrated in 1973 [26-28]. The X-rays from a synchrotron have unique properties such as high intensity and wavelength selectability compared to laboratory based X-ray machines. Therefore, synchrotron based X-ray imaging of plants are fast due to high intensity in a narrow bandwidth which reduces the radiation dose absorbed by the plants. The X-ray wavelengths can be easily tuned to image above soil plant parts or soil-root systems and it is possible to image low density materials like plants in great detail using Phase contrast X-ray imaging (PCI) technique [29,30].
Fourier transform mid infrared (FTIR) spectroscopy is a physico-chemical analytical technique that provides a snapshot of tissue metabolic composition at a specified period under diverse environments [31-33]. FTIR generates a spectrum by the vibrations of bonds within chemical functional groups that can be considered as a biochemical or metabolic “fingerprint” of the sample. By assessing the infrared absorption peak width, position, and intensity, the configuration of molecular functional assemblies in a sample can be evaluated . In most cases, the structure of the plant biomass being already known, the absorption peaks of the molecular bonds can be found in the literature, and changes in some of these absorption peaks due to the presence of any plant stress can be easily detected . Applying metabolomics techniques to plant pathology is a new approach, generally used as a complementary method to transcriptome and proteome analyses . Recently, it was investigated in plant microbe interaction as powerful and rapid methods to elucidate structural and chemicals changes associated with fungal infection [33,36-39]. It has been previously demonstrated that the composition of plant cell walls varies significantly from one cell type to another, one species to another, and between accessions within species with 30% cellulose, 30% hemicellulose, 35% pectin and 1 to 5% structural proteins . Apart from lignin and phenolic components which are known to play an important role in plant defense by forming a physical barrier or inducing the defense of the host , little is known about the degree to which the chemical composition of plant cell wall polysaccharides is a key factor in the outcome of the plant-pathogen interaction. Vorwerk et al.  reviewed all of important findings on the role of plant cell composition in disease resistance. In this context, the main objectives of this study were to determine: 1) the structural differences (in floret and rachis) between resistant and susceptible cultivars of wheat using PCI; and 2) the biochemical changes in floret and rachis of resistant and susceptible cultivars of wheat before and following fungal infection using FTIR spectroscopy. The use of PCI coupled with FTIR provides a novel approach to discover the resistance mechanisms of the host against FHB infection, traditionally analyzed by destructive microscopy.
FHB disease severity of wheat cultivars
Phase contrast X-ray imaging of spikelets
To further elucidate resistance mechanisms and structural differences between three tested germplasms in response to FHB, florets were removed from the healthy and infected spikes of the wheat and rachis alone were imaged (Figure 4). In healthy rachis of different cultivars, phase contrast images show significant differences in the physical and internal structures of the rachises. The healthy rachis of Sumai3 is more transparent than that of FL62R1 and Muchmore near the floret base, indicating less internal structures and more cavitations in Sumai3. The internodes of the rachis joints in resistant cultivars are closed with a well-defined wall (visible bright line). Interestingly, form and thickness of edge of the rachis are different from cultivar to cultivar. In the presence of the fungus, the phase contrast X-ray images show that structures internal in rachis could be lost or altered. The cavitation (transparent area in phase contrast images and in which water movement occurs in the rachis) becomes thinner in infected rachises with FHB. These characteristic different structures in resistant cultivars compared to moderately resistant and susceptible ones may serve to limit the growth and spread of the fungal mycelium. The structural difference may also reduce the spread of fungal mycelial mass along with water flow within the rachis, which is considered to be one of the causes of spike blight symptoms.
Mid infrared absorption spectroscopy
Biochemical changes in wheat floret
The mid infrared spectra of a chemical compound provide details of the fundamental vibrations of the groups of its component molecules. The IR spectrum of a biological sample is a weighted spectrum of individual chemical compounds present in that sample . Obvious spectral differences in the mid infrared region (4000–800 cm−1) between healthy and diseased florets and rachis of wheat spikelets of different germplasms are shown in Figure 5. The summary of the characteristic peaks and their assignments in reference to previous findings are shown in the Additional file 2: Tables S1-S4 [33,37-39,45-47].
At 10 DAI, an important shift in amide I peak was observed only for both Sumai3 (1631.2 to 1638 cm−1) and Muchmore (1631.2 to 1659 cm−1) (Figure 5B). As the disease progressed from 4 to 10 DAI, the amide I peak remained same in Sumai3 and it shifted (1634. 6 to 1631.2 cm−1) in FL62R1 and Muchmore (1637. 9 to 1658.4 cm−1). Similarly, an important shift for cellulose peak in Muchmore (1406.6 to 1423.5 cm−1), Sumai3 (1403.1 to 1420.1 cm−1), FL62R1 (1413.3 to 1406.5 cm−1) was observed in infected floret. Also a shift of carbohydrate peak from 1055.9 to 1038.9 cm−1 was observed in Muchmore while a slight shift towards high wavenumber was observed in FL62R1 for the same peak.
Biochemical changes in rachis
Figure 5C shows the FTIR spectra of a sample composed of infected and healthy rachis of wheat cultivars examined 4 DAI. The spectra have a trend similar to that of wheat floret characterized by the same absorption peaks as described above. The broad peak at about 3390–3407 cm−1 is due to the stretching vibration of OH functional groups of water, alcohols, and phenols. The peak located at about 3002–3020 cm−1 is attributed to C-H and the doublet at about 2928–2850 cm−1 is attributed to asymmetric stretching modes of the CH2 methylene group, the common plant product. At 4 DAI, slight biochemical changes were observed between resistant, moderately resistant, and susceptible cultivars. The most important changes were: the disappearance of amide II peak at about 1550 cm−1 in both cultivars, Muchmore and FL62R1 after pathogenic infection; the shift of amide II peak in Sumai3 (1566.5 to 1559.7 cm−1); the shift of CH2 symmetric bending peak from 1426 to 1423 cm−1 in Muchmore; and the shift of amide III peak (1328.2 to 1331.6 cm−1) in both Sumai3 and Muchmore. The peak at 1249.9 cm−1 (linked to PO−2 asymmetric phosphate vibration) shifted to higher wavenumber (1260.2 cm−1) only in Sumai3 followed by FL62R1 (1249.9 to 1246.5 cm−1) and no change was observed in Muchmore following fungus infection.
At 10 DAI, the peak intensity of amide II (1563.1 cm−1) was persistent in resistant cultivar Sumai3 even after pathogenic infection as observed at 4 DAI (Figure 5D). The amide III was shifted in Muchmore from 1331 cm−1 (4 DAI) to 1321.4 (10 DAI). Other peaks were still persistent, even after 10 DAI in Sumai3 and other cultivars. An important difference after infection was the appearance of a peak at 1546.1 cm−1 for both FL62R1 and Muchmore, and the peak at 1192.1 cm−1 only in FL62R1.
Principal component analysis (PCA) of components in floret and rachis
In all cases and independent the length of after inoculation periods, PCA revealed a marked impact of FHB on floret and rachis of wheat cultivars and distinguished two clusters between infected and non-infected floret and rachis of each wheat cultivar. In most cases, PC1 explained more variation between both clusters for each wheat cultivar (data not shown); suggesting that PCA coupled with infrared spectroscopy is able to discriminate between infected and non-infected samples at an early stage of the development of pathogen infection. As demonstrated previously, the important impact of FHB on floret and rachis of wheat cultivars was observed in the IR spectra ranging from 1800 to 800 cm−1. Therefore, PCA was done in the spectral range from 1800 to 800 cm−1 to discriminate cell wall compounds between cultivars and between infected or non-infected wheat with FHB, independent of timing of inoculation for both floret and rachis.
Discrimination of components in wheat florets
Discrimination of components in the wheat rachis
To our knowledge, this paper is the first combining PCI and FTIR spectroscopy to report on the defense mechanism of wheat against FHB. In the current study, we have presented a new approach for evaluating the resistance mechanisms of different lines to FHB based on the use of synchrotron based imaging techniques and FTIR spectroscopy in comparing resistance and susceptible wheat cultivars. The use of PCI coupled with FTIR provides a new approach to the study of structural and chemical responses of the host to FHB infection, traditionally analyzed by microscopy using histochemical methods.
Resistance to FHB varies greatly among wheat genotypes. The Chinese cultivar Sumai3 is the best known and most widely documented resistant cultivar . Sumai3 pedigree contains the two moderately susceptible cultivars Funo and Taiwanmai . It has been rated as resistant to highly resistant in many screening experiments. Although Sumai3 possesses very good type II FHB resistance, it is susceptible to other diseases and seeds shatter easily. Here, we have compared the infected and non-infected floret and rachis of Sumai3 to those of tolerant cultivar, FL62FR1 and susceptible cultivar, Muchmore. Results demonstrate significant differences in mass densities between healthy floret and infected floret with FHB at 4 DAI. Healthy florets appear in white colors and filled with internal structures while infected ones are largely empty and transparent suggesting that PCI could be a useful tool in plant disease diagnosis. Several researchers underlined the use of PCI as a non-destructive imaging technique in plant systems for studying physiology of plants. Examples of such PCI studies include: cavitation and water refilling processes , plant tissues in 3D , X-ray imaging of leaf venation  or studying mutualistic association of plants to arbuscular mycorrhizal fungi . Similarly, Kim and Joon Lee  presented PCI as a minimally invasive method to observe anatomical structures and sap flow dynamics in rice xylem. Overall, our synchrotron based PCI results have highlighted significant differences between infected and non-infected florets. However it was difficult to precisely characterize real difference between non-inoculated resistant and susceptible cultivars in term of floret structures due to the complexity of the internal structures. Finally, a total loss of cell viability was observed in infected florets of the Muchmore cultivar.
The PCI revealed significant differences between infected and non-infected rachis of different wheat cultivars. Without infection by FHB, the form (internodes) and thickness of edge of the rachis and the cavitation inside the rachis were different from one cultivar to another. In the presence of the fungus, the PCI shows that structures could be lost or altered, notably in susceptible cultivar Muchmore in which the structure of rachis has been totally altered and became more transparent to X-rays as a sign of infection compared to the control rachis. The cavitation region, visible as a transparent area in phase contrast images, in which water movement occurs in the rachis, became thinner in FHB infected samples. We hypothesize that the bright structure located in the internodes of Sumai3 rachis (Figure 4) and the presence of more cavitation regions with xylem and phloem cell-wall structures contributes to the resistance of Sumai3 to FHB. These characteristic structures are believed to limit the growth and the spread of the fungal mycelium through water flow within the rachis which is considered to be the causes of spike blight symptoms [57,58]. These researchers found that anatomical features associated with type II resistance include smaller diameter vessels, denser vascular bundles in the rachis, strong thickened cortical sclerenchyma and cell walls, and short internodes in the upper part of the rachis. These observations are partially corroborated by our X-ray imaging. Accordingly, 3D PCI may be ideal to reveal the internal structures of the rachis and could be an appropriate tool for fast screening of the resistant cultivars against scab blight.
Testing thousands of lines in a breeding program each year may not be feasible for routine selection of resistant lines to FHB. Therefore, selection based on other related characters such as FHB severity or percent scabby seed has been proposed [7,59]. However, the identification and evaluation of asymptomatic infection in wheat spikelets via light and electron and confocal microscopy is time consuming and costly . In the current study, we proposed PCA of FTIR spectroscopy of bulk florets and rachises as a new fast technique in comparing resistant line Sumai3, tolerant line FL62R1, and susceptible line Muchmore of wheat to FHB. Independent of the length of post-inoculation periods, PCA results showed significant differences between infected and non-infected florets of wheat cultivars. In the resistant cultivar Sumai3, the shifts in spectral peaks after inoculation were high (1375.9 to1382.7 cm−1, 1246.5 to1256.8 cm−1, 1038.9 to 1049.1 cm−1, and 1158.1 to 1161.5 cm−1). In Muchmore, the peaks at 1423.5, 1375.9, and 1052.5 cm−1 were shifted to 1409.9, 1379.2, and 1049.1 cm−1 respectively. For FL62R1 and other cultivars the disappearance of amide I α-helix peak (1546–66 cm−1) and the change of amide I (1655 cm−1) in control to β-sheet (1634–37 cm−1) in diseased plant when coupled with a change in the cellulose peak (1049.1 cm−1) indicates that both amide I and cellulose peaks may be used as a marker of pathogenic infection with FHB. The only difference observed between the spectra of florets among the different cultivars is the peak around 1540–70 which was more intense for Sumai3 (~1566.5 cm−1), suggesting that peak could be used as resistance marker for FHB. Overall, the analysis of spectra of infected and non-infected florets supports a conclusion of increased metabolic activity in the host. The most important peaks representing amide I, amide II, cellulose, hemicellulose, and pectin [45,46,61,62] may be linked with the formation of defense compounds, such as those involved in the reinforcement of the cell walls. Additionally, the timing after infection had also influenced significantly the biochemical changes in the florets of wheat cultivars infected with or without FHB infection. For example, there was an important shift in 1631 cm−1 and 1406.6 cm−1 observed in Muchmore (to 1659 and 1420.1 cm−1) and Sumai3 (to 1638 and 1420.1 cm−1). In the carbohydrates region, a significant decrease of peak from 1055.9 to 1038.9 cm−1 was recorded only for Muchmore. The PCA has explained more than 73% of total variability principally due to the Fusarium infection. PCA showed that infected florets are grouped along PC2 axis and scattered along PC1 axis. The florets from Sumai3 appeared genetically different from those from other cultivars, Muchmore and FL62R1 in terms of response to FHB infection. The positive loading of PC1 was prominent in the spectra linked to carbohydrates 920, 855 and 816.8 cm−1 which assigned to pectin and xyoglucan while the negative loadings is dominated by peaks belongings to pectin (1737.8, 1267.2, and 969.2 cm−1), proteins (1688.6 and 1544.9 cm−1), cellulose vibrations (1516, 1463.9, 1374.2, 1313.3, 117.7, and 896.9 cm−1), and hemicellulose (1066.6 cm−1), which may play an important role in host defense against the invasion by FHB and may be useful for fast routine screening methods of highly resistant cultivars against this devastating pathogenic fungus.
The spectrum of Fusarium has been largely studied and contains a very broad band in the region of 3650–3000 cm−1 with a peak near 3260 cm−1. The amide I and II bands (1700–1485 cm−1), which likely arise from fungal proteins, were prominent. The fingerprint region of FHB hyphae was dominated by a broad peak near 1035 cm−1 [44,63]. Accordingly, the broad and strong absorption of this peak in the floret of infected cultivars in combination with a visible alteration in the protein region (α-helix turned to β-sheet) following pathogenic infection, maybe used as a signature marker for pathogenic infection with FHB. This corroborates the findings of Barran et al.  who reported that the cell walls of a FHB hyphae contained 66% carbohydrate, 7.3% proteins, 5.5% lipid, and 1.8% ash. In agreement with the published literature, PCA applied to FTIR spectra underlines a substantial role of cell wall compounds in reaction to FHB as demonstrated by the relatively higher spectral peaks in Sumai3 after inoculation with FHB (1382.7, 1256, 1049.1 cm−1), which may reflect increased metabolic activity linked with the formation of defense compounds such as those involved in the reinforcement of cell walls as shown previously by Martin et al.  on Dutch elm disease.
Measurement of the spread of FHB within a spike has been recognized as a relatively reliable index of cultivar resistance [65,66]. The spread of the disease within a spike was characterized by two distinct stages; spread into rachis and through the rachis into other florets via rachis internodes . These stages are mostly affected by resistance genes cultivars . The structure of the rachis was known to display a significant role in the resistance. Consequently, understanding the impact of FHB on chemical structure of the rachis in resistant and susceptible cultivars could help develop new selection strategies against this devastating pathogen. FTIR spectra have shown the same absorption peaks as described above for the wheat florets and slight difference was recorded between resistant, moderately resistant, and susceptible cultivars. The peak 1550 cm−1 related to lignin vibration disappeared in both cultivars, Muchmore and FL62R1 after pathogenic infection at 4 DAI and is still predominant in Sumai3, even after 10 DAI, suggesting the implication of lignin in resistance II of Sumai3 against FHB. We noticed a shift of peak related to cellulose CH2 symmetric bending at about 1426 to 1423 cm−1 in Muchmore, and the shift of peak at about 1328.2 to 1331.6 cm−1 in both Sumai3 and Muchmore. The peak 1249.9 cm−1 is linked to PO−2 asymmetric phosphate vibration was increased only in Sumai3 following fungus infection. This indicates a potential role in resistance of Sumai3 against this pathogenic fungus. It was known that phosphorylated proteins are key elemental function in the activation of phenylpropanoids biosynthetic genes involved in the elaboration of lignin precursors, phytoalexins and the secondary signal salicylic acid as early responses to pathogen invasion [67-69]. Therefore, the absorption peak at 1530–1563 cm−1 (amide II, lignin), which was persistent in the rachis of Sumai3 and coupled with increased shift in absorption peaks of 1323 cm−1 and 1245 cm−1 in Sumai3 inoculated with FHB may be considered as a marker of resistance against this pathogenic fungus. These conclusions could be of significance in developing early screening methods based on FTIR in selecting cultivars resistant against FHB and avoiding time consuming and costly screening techniques. By comparing both inoculation periods, the most important changes were a shift of peak 1331 to 1321.4 cm−1 in the case of Muchmore and the appearance of peak 1546 cm−1 for both cultivars Muchmore and FL62R1 as a reaction to pathogenic infection. The peak 1192.08 cm−1 appeared only in FL62R1 and may related to the host immunity system response to the presence of pathogenic fungus.
The PCA of FTIR spectra underlined significant differences in rachis of the wheat cultivars and between those infected and non-infected by FHB. The total sample variation (82%) in the rachis of the wheat cultivars was explained by principal components 1 and 2. PC1 (66%) clearly distinguish infected rachis of Muchmore (4 and 10 DAI) and the infected rachis of FL62R1 and Sumai3 (10 DAI) in separate clusters in the negative side of PC1 whereas non-infected rachis and infected rachis of FL62R1 and Sumai3 (4dai) are scattered in the positive side of PC1. The positive influence of PC1 on rachis scores had values around 1785, 1742.6, and 1326.0, 1254.6 cm−1 (alkyl ester, pectin, lignin and phenolic vibrations), 1475.5, 1460.1, 1428.2, and 1365.5 cm−1 (cellulose and lignin vibration), and polysaccharides regions including some wavenumbers denoting hemicellulose and pectin (1164.9, 1125.4, 1110.9, 1056.9, 1033.8, 1019.3, 1002.9, 989.4, 930.6, 920, 897.8, 870.8, 838.99 and 821.6 cm−1). PC2 explained a variability of 16% and the loadings in the case of PC2 showed positive values for pectin and polysaccharides (850.6, 837.1, 824.5 cm−1). The most important peaks in the negative PC2 loading were dominated by carbonyl compounds such as phenolics and lignin (1739.7 cm−1), proteins (1673.2, 1562.3, 1556.5 and 1524.7), celluloses and pectin (1493.8, 1453.3, 1423.4, 1395.4, 1375.2, 1334.7, 1323.1, 1288.4, 1276.8, and 1265.2 cm−1), and polysaccharides (1173.6, 1141.8, 1109, 1059.8, 978.8, 897.8, and 873.7 cm−1). These results highlighted that pathogenic infection induced host resistance in three cultivars are represented by proteins and cell wall compounds. Our results are in line with those of Peiris et al.  who reported a shift in the peak position of 1035 cm−1 along with increased absorptions at 1160, 1203, 1313, and 1375 cm−1, likely due to the influence either by FHB hyphae directly or by another metabolic change in infected tissue resulting from fungal invasion.
The FTIR spectroscopy has been shown to be a powerful attractive technique for the study of biological macromolecules and of complex biological systems such as tissues and cells [70,71]. The highlighted and prominent peaks in this study are largely linked to cell-wall compounds, carbonyl esters and polysaccharides in explaining variations between exanimated wheat cultivars with or without fungal infection. The PCI and FTIR results support the use of these techniques for screening for relative resistances in wheat to FHB. The sections imaged with PCI in internodes of the rachis of Sumai3 may act as barriers to pathogen growth or diffusion of toxins, allowing the formation of new healthy xylem  and may linked to lignification defense mechanisms of plant as supported by the persistence of the absorption peak for amide II and lignin (1530–1563 cm−1) with an increased peak shift denoting for cellulose and hemicellulose (1323 cm−1 and 1245 cm−1) following pathogenic infection.
Marker-assisted selection offers many advantages to breeders by reducing the time necessary for testing the plant materials, and the effort and money required to accomplish a successful gene introgression in the genotype of interest. In the current study we examined the potential of synchrotron based phase contrast imaging in combination with Principal Component Analysis applied to FTIR spectra for an easy and rapid comparison of structural and molecular changes in the host following pathogenic infection to determine the resistance mechanisms. The PC images show significant differences between infected and non-infected florets, however, no pronounced difference between non-inoculated resistant and susceptible cultivar in term of floret structures could be determined due to the complexity of the internal structures. In the rachises, PC images revealed significant differences between infected and non-infected rachis of different wheat cultivars. In addition, the results obtained in this current study provide an unique, consistent, and significant spectral biomarkers for infected region with FHB and specific spectral biomarkers for selecting resistance cultivars against FHB based on data comparison of highly resistant cultivar Sumai3 and highly susceptible cultivar Muchmore. Using these biomarkers, it is possible to discriminate between the different examined wheat cultivars. Additionally, the fact that the final results could be obtained from the infected spikelet’s during a very short time from a small amount of sample and by a simple procedure, support the possibility of developing FTIR spectroscopy as a reliable method for rapid identification and discrimination between infected and non-infected plants with FHB and between different wheat cultivars in terms of resistance against FHB. This technique would be very useful as an additional tool to molecular methods largely used in plant biology and microbiology for studying plant-microbe interaction such as RNA-Seq and Proteomics.
Fungal material and inoculum preparation
Wild-type Fusarium gramineraum (isolate DAOM 180379 from the Canadian collection of fungal cultures, Ottawa, Ont.), which was transformed to constitutively express Green Fluorescent Protein (GFP) in both macroconidia and hyphae was used in this study. Fresh inoculum was taken from the stored type culture at monthly intervals. For the production of macroconidia, a plug of actively growing Fg-GFP (Green Fluorescent Protein Fusarium gramineraum) was placed in the center of a petri dish containing Soft Nutrient Agar (SNA). Plates were placed under a combination of fluorescent and UV lights for 5 days at 23°C. Macroconidia were harvested by pouring a small amount of sterile water over the culture in the petri dish and then by either gently scraping the surface with a bent glass pipette or washing with a gentle stream of water, using a pipette. A working concentration of approximately 2500 macroconidia/mL was attained by concentrating the suspension or by dilution with sterile water as required. A concentration of 105 macroconidia/ mL was used for inoculation.
Plant material and infection procedure
All experiments were conducted in the environment-controlled growth chamber due to restrictions on inoculating with a transformed fungus in the field. Canadian germplasm ‘FL62R1’ (or FL) was developed by Drs. Andre Comeau and Francois Langevin (AAFC- Québec) . Canadian germplasm ‘Muchmore’ (or MM) was developed by Drs. Ron DePauw and Richard Cuthbert (AAFC-Swift Current) . Seeds of resistant ‘Sumai3’, Canadian germplasm ‘FL62R1’, and ‘Muchmore’ were sown in peat pots (diameter, 12.7 cm) and maintained in a growth chamber at 20°C: 16°C day: night cycle, with 16 h of light per day until flowering. Pots were watered by hand at the base of the plants. At mid-anthesis, single floret inoculation with Fg strain was carried out by pipetting 10 μl of the macroconidia suspension (105 per ml) between palea and lemma. For disease severity test, four florets of two spikelets in the middle of head were inoculated per each genotype. For other experiments, 10 spikelets midway along the spike were point inoculated. Inoculated plants were incubated in a dew chamber for 2 days and then moved back to growth chamber for the rest of the experiment.
Diseased spikelets were expressed as means ± standard error. Data were analyzed by using two-way ANOVA test of the statistical analysis system (SAS Institute, version 9.1, Cary, NC, USA). Mean values were compared using Fisher’s LSD test at statistical significance P = 0.01.
Microscopy was performed on fresh and hand sectioned material, using fluorescence stereomicroscope system (SteREO Lumar.V12, Zeiss). Photos were taken with Zeiss AxioCam HR colored camera.
Synchrotron based phase contrast X-ray imaging
Fresh spikes were excised from the plants ~ 4 hours before X-ray imaging and the cut spikes were stored in a plastic bag at room temperature. X-ray images of wheat spikes were recorded using the phase contrast imaging technique at the Biomedical and Imaging Therapy (BMIT) beamline at the Canadian Light Source. The X-ray energy was selected to be 18 keV, the lowest possible in the beamline and a 0.5 mm thick aluminum filter was used before the monochromator to reduce the heat load on the monochromator. An 8.75 μm resolution detector was used and most images were recorded in less than a second exposure time. Two dimensional transmission images (projection images) were collected and the projection images were corrected for the dark signal from the detector (dark signal correction) and flat signal (flat-field correction) for imperfections from the monochromator and scintillator screens. The dark and flat images were collected at the beginning of the imaging session for each spikelet. The spike was kept inside a 18 mm diameter falcon tube during imaging to prevent any movement of the spike when collecting data along the length of the spikelets.
All FTIR spectroscopy were collected at the mid infrared beamline (01B1-1) at the Canadian Light Source Inc., Saskatoon, Canada using the glowbar source (silicon carbide) as the infrared source. The Bruker - IFS 66 V/S spectrophotometer (Bruker Optics, Ettlingen, Germany) with a Deuterated triglycine sulphate (DTGS) detector was used for the FTIR measurements.
The floret and rachis samples of infected and non-infected spikelets were prepared by the method described by Naumann et al. . Floret and rachis samples were first dried using a freeze drier and ground to a fine powder. About 1 mg of freeze dried and powdered sample was homogenized with about 2.0 mg of dry potassium bromide (KBr) using pestle and mortar and made into a pellet. Transmission infrared spectrum was obtained from the finally prepared pellet for replicate samples. Each IR spectrum was recorded in the mid infrared range of 4000–800 cm−1 wavenumbers at a spectral resolution of 2 cm−1. Each sample spectrum is an average of 64 scans and pure KBr spectra (average of 512 scans) was recorded for normalizing all sample spectra. The normalized spectra were baseline corrected using the rubber band correction (64 points) and vector normalized using the OPUS software (version 7.0, Bruker Optics Inc., Billerica, MA). All FTIR spectra shown here are the average spectra from three replicates. The FTIR peaks cited in the supplemental tables were determined using the Quick Peaks routine in OriginPro with the settings of local maximum at 0% threshold height, no baseline, and area at Y = 0.
Principal component analysis
Principal Component Analysis (PCA) is one of the most common methods used in IR spectroscopy to look at the spread of the data. By performing a PCA the variance-covariance structure of p variables through k linear combinations, called Principal Components (PC), can be explained. The purpose of PCA is to reduce the number of variables and provide an easy graphical representation on the spread of the data . Geometrically, a PCA is a vector space transform. It can be seen as a transformation applied to the coordinate axis rather than to the data set. The new coordinates are the principal components such that the first PC represents the direction of greatest variability, the second greatest variance lies on the second PC and so on. This method is especially useful in the interpretation of FTIR spectra, which show peak diversity and complication depending on the source of the sample. The Unscrambler 10.1 (Camo Software AS., Norway) was used for performing PCA. Each wavelength of FTIR was treated as an equally weighted variable in this analysis.
The data sets supporting the results of this article are included within the article and its additional files.
We acknowledge Agriculture Development Fund of Saskatchewan and Wheat flagship program of National Research Council of Canada for funding this research program under Grant No. ADF20130054. The authors thank Mr. Royal Hinther, Canadian Light Source who is the project leader of this project. The research described in this paper was performed at the Canadian Light Source and NRC-Saskatoon, which are funded by the Canada Foundation for Innovation, the Natural Sciences and Engineering Research Council of Canada, the National Research Council Canada, the Canadian Institutes of Health Research, the Government of Saskatchewan, Western Economic Diversification Canada, and the University of Saskatchewan. We acknowledge the kindly help from BMIT beamline staff Mr. Ning Zhu, Mr. Adam Webb, Dr. George Belev, and Dr. Tomasz Wysokinski during experimental setup, data collection, and guidance during data analysis. We thank Drs. André Comeau (AAFC-Québec) and Dr. Harvey Voldeng (AAFC-Ottawa) for providing FL62R1, Drs. Ron DePauw and Richard Cuthbert (AAFC-Swift Current) for providing Muchmore. This is NRC publication #56072.7.
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