Metabolite profiles of Populus in response to pathogen stress

Wu, Qiuming; Chen, Min; Zhou, Hailong; Zhou, Xianqing; Wang, Yanwei

doi:10.1016/j.bbrc.2015.08.025

Cited by 14 publications

(13 citation statements)

References 33 publications

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“…The GC-MS analysis was conducted using a 7890A/5975C GC-MS system (Agilent Technologies, Santa Clara, CA, USA) at Shanghai Sensichip Infotech Co. Ltd. (Shanghai, China). The GC-MS condition, data pre-process and metabolites detection were performed as described in published research [46]. Briefly, Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) model were performed to analyze normalized data set and search differential expressed metabolites with VIP (variable importance in the projection) values > 1, combined with t -test ( p < 0.05) in the NIST databases ().…”

Section: Methodsmentioning

confidence: 99%

Variations in Accumulation of Lignin and Cellulose and Metabolic Changes in Seed Hull Provide Insight into Dehulling Characteristic of Tartary Buckwheat Seeds

Song

Xiang

2019

IJMS

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Tartary buckwheat (Fagopyrum tataricum) is considered a profitable crop that possesses medicinal properties, because of its flavonoid compounds. However, the dehulling issue is becoming the bottleneck for consumption of Tartary buckwheat seed. In this study, we investigated the relation between dehulling efficiency and content of lignin and cellulose in the seed hull. Moreover, the untargeted metabolomics analysis, including partial least squares discriminant analysis (PLS-DA) and principal component analysis (PCA), were performed to examine the pattern of metabolic changes in the hull of Tartary buckwheat seeds, XQ 1 and MQ 1, during seed development using gas chromatography mass spectrometry (GC-MS). In mature seed hull the accumulation of highest lignin and lowest cellulose were observed in the hull of MQ 1 seed, a dehulling-friendly variety with highest dehulling efficiency (93%), than that in other dehulling recalcitrant varieties, such as XQ 1 with a range of dehulling efficiency from 2% to 6%. During seed development, the total content of lignin and cellulose increased. MQ 1 and XQ 1 displayed a similar trend in the change of lignin and cellulose that the content was decreased in lignin and increased in cellulose. PCA result showed the metabolic differentiations between MQ 1 and XQ 1 during seed development. The results of our study suggest the compensatory regulation of lignin and cellulose deposition in the hull of mature and developing seed, and deviation of MQ 1 from the ratio of lignin to cellulose of other dehulling recalcitrant varieties may have been a contributing factor that resulted in the dehulling differentia.

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Section: Methodsmentioning

confidence: 99%

Variations in Accumulation of Lignin and Cellulose and Metabolic Changes in Seed Hull Provide Insight into Dehulling Characteristic of Tartary Buckwheat Seeds

Song

Xiang

2019

IJMS

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“…Transcriptome analysis reflected the demands of defense during rust infestation through changes in photosynthesis, respiration, and carbohydrate metabolism 17 . High-throughput sequencing methods, such as microarray assays 18 , analysis of metabolites by gas chromatography-mass spectrometry 19 , micro RNA (miRNA) sequencing 20 , and transcriptomics 21,22 have been applied to the study of poplar canker diseases. However, aimed to control and management of diseases, genes related to disease resistance were mainly discussed in above researches.…”

Section: Introductionmentioning

confidence: 99%

Fungal canker pathogens trigger carbon starvation by inhibiting carbon metabolism in poplar stems

Liu

Zhang

et al. 2019

Sci Rep

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Carbon starvation is the current leading hypothesis of plant mortality mechanisms under drought stress; recently, it is also used to explain tree die-off in plant diseases. However, the molecular biology of the carbon starvation pathway is unclear. Here, using a punch inoculation system, we conducted transcriptome and physiological assays to investigate pathogen response in poplar stems at the early stages of Botryosphaeria and Valsa canker diseases. Transcriptome assays showed that the majority of differentially expressed genes (DEGs) in stem phloem and xylem, such as genes involved in carbon metabolism and transportation, aquaporin genes (in xylem) and genes related to the biosynthesis of secondary metabolites and the phenylpropanoid pathway (related to lignin synthesis), were downregulated at 7 days after inoculation (DAI). Results also showed that the expression of the majority of disease-resistance genes upregulated in poplar stems, which may be connected with the downregulation expression of the majority of WRKY family genes. Physiological assays showed that transpiration rate decreased but WUE (water use efficiency) increased the 3 and 7 DAI, while the net photosynthetic rate decreased at 11 DAI in Botryosphaeria infected poplars (ANOVA, P < 0.05). The NSC (non-structural carbohydrates) content assays showed that the soluble sugar content of stem phloem samples increased at 3, 7, and 11 DAI that might due to the impede of pathogen infection. However, soluble sugar content of stem xylem and root samples decreased at 11 DAI; in contrast, the starch content unchanged. Therefore, results revealed a chronological order of carbon related molecular and physiological performance: declination of genes involved in carbon and starch metabolism first (at least at 7 DAI), declination of assimilation and carbon reserve (at 11 DAI) second. Results implied a potential mechanism that affects the host carbon reserve, by directly inhibiting the expression of genes involved in carbon metabolism and transport.

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“…In forest tree species, the role of primary and secondary metabolites upon pathogen infection or pest attack have been addressed with MS‐based metabolomics approaches (Table 1, Section IV), including: (i) the infection of E. globulus with Teratosphaeria nubilosa , the causal agent of the Mycosphaerella leaf disease, and the role of flavonoids as disease‐related biomarkers (Hantao et al, 2014), (ii) the effect of summer drought in the metabolome of two P. sylvestris genotypes exposed to folivory by the Thaumetopoea pityocampa (Rivas‐Ubach et al, 2017), and (iii) the metabolic profiles of two Populus deltoides genotypes upon infestation with Hyphantria cunea (Wang et al, 2017). Furthermore, Wu et al (2015) used GC‐MS for the metabolite profiling of Populus beijingensis W.Y. Hsu in response to Dothiorella gregaria fungal infection.…”

Section: Ms‐based Metabolite Responses To Environmental Stresses In Fmentioning

confidence: 99%

“…In this study, the levels of most primary metabolites (e.g., fructose, polyols, and amino acids) and secondary metabolites (e.g., steroids, phenolic compounds, amides, and quinones) were significantly increased, whereas glucose and tricarboxylic acid (TCA)‐cycle intermediates malate and isocitrate levels were decreased upon D. gregaria infection. The decrease in the levels of glucose suggests increased consumption of this metabolite via glycolysis and the pentose‐phosphate pathway, whereas the decreased levels of the TCA‐cycle intermediates suggested that the TCA cycle is not only an important part of plant glucose metabolism, but it is also involved in the synthesis of amino acids, fatty acids, and unsaturated fatty acids (Wu et al, 2015).…”

Section: Ms‐based Metabolite Responses To Environmental Stresses In Fmentioning

confidence: 99%

Mass spectrometry‐based forest tree metabolomics

Rodrigues

Miguel

Chaves

et al. 2019

Mass Spectrometry Reviews

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Research in forest tree species has advanced slowly when compared with other agricultural crops and model organisms, mainly due to the long‐life cycles, large genome sizes, and lack of genomic tools. Additionally, trees are complex matrices, and the presence of interferents (e.g., oleoresins and cellulose) challenges the analysis of tree tissues with mass spectrometry (MS)‐based analytical platforms. In this review, advances in MS‐based forest tree metabolomics are discussed. Given their economic and ecological significance, particular focus is given to Pinus, Quercus, and Eucalyptus forest tree species to better understand their metabolite responses to abiotic and biotic stresses in the current climate change scenario. Furthermore, MS‐based metabolomics technologies produce large and complex datasets that require expertize to adequately manage, process, analyze, and store the data in dedicated repositories. To ensure that the full potential of forest tree metabolomics data are translated into new knowledge, these data should comply with the FAIR principles (i.e., Findable, Accessible, Interoperable, and Re‐usable). It is essential that adequate standards are implemented to annotate metadata from forest tree metabolomics studies as is already required by many science and governmental agencies and some major scientific publishers. © 2019 John Wiley & Sons Ltd. Mass Spec Rev 40:126–157, 2021.

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Metabolite profiles of Populus in response to pathogen stress

Cited by 14 publications

References 33 publications

Variations in Accumulation of Lignin and Cellulose and Metabolic Changes in Seed Hull Provide Insight into Dehulling Characteristic of Tartary Buckwheat Seeds

Variations in Accumulation of Lignin and Cellulose and Metabolic Changes in Seed Hull Provide Insight into Dehulling Characteristic of Tartary Buckwheat Seeds

Fungal canker pathogens trigger carbon starvation by inhibiting carbon metabolism in poplar stems

Mass spectrometry‐based forest tree metabolomics

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