Phenylcoumaran benzylic ether reductase, a prominent poplar xylem protein, is strongly associated with phenylpropanoid biosynthesis in lignifying cells

Planta ◽  
2000 ◽  
Vol 211 (4) ◽  
pp. 502-509 ◽  
Author(s):  
Kristine Vander Mijnsbrugge ◽  
Hans Beeckman ◽  
Riet De Rycke ◽  
Marc Van Montagu ◽  
Gilbert Engler ◽  
...  
Keyword(s):  
Phenylpropanoid Biosynthesis ◽  
Benzylic Ether ◽  
Phenylcoumaran Benzylic Ether Reductase

scholarly journals Phenylcoumaran Benzylic Ether Reductase Prevents Accumulation of Compounds Formed under Oxidative Conditions in Poplar Xylem

2014 ◽  
Vol 26 (9) ◽  
pp. 3775-3791 ◽  
Author(s):  
C. Niculaes ◽  
K. Morreel ◽  
H. Kim ◽  
F. Lu ◽  
L. S. McKee ◽  
...  
Keyword(s):  
Benzylic Ether ◽  
Phenylcoumaran Benzylic Ether Reductase

Expression and functional analyses of a putative phenylcoumaran benzylic ether reductase in Arabidopsis thaliana

2015 ◽  
Vol 35 (3) ◽  
pp. 513-526 ◽  
Author(s):  
Nuoendagula ◽  
Naofumi Kamimura ◽  
Tetsuya Mori ◽  
Ryo Nakabayashi ◽  
Yukiko Tsuji ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Benzylic Ether ◽  
Phenylcoumaran Benzylic Ether Reductase ◽  
Functional Analyses

Comprehensive Analysis of Transcriptomics and Metabolomics between the Heads and Tails of Angelica Sinensis: Genes Related to Phenylpropanoid Biosynthesis Pathway

2020 ◽  
Vol 23 ◽  
Author(s):  
Jie Yang ◽  
Chi Zhang ◽  
Wei-Hong Li ◽  
Tian-Er Zhang ◽  
Guang-Zhong Fan ◽  
...  
Keyword(s):  
Ferulic Acid ◽  
Metabolic Regulation ◽  
Comprehensive Analysis ◽  
Angelica Sinensis ◽  
Rna Seq ◽  
Targeted Metabolomics ◽  
Kegg Pathways ◽  
Qrt Pcr ◽  
Phenylpropanoid Biosynthesis ◽  
Combined Strategy

Background:: In Traditional Chinese Medicine (TCM), the heads and tails of Angelica sinensis (Oliv.) Diels (AS) is used in treating different diseases due to their different pharmaceutical efficacies. The underline mechanisms, however, have not been fully explored. Objective:: Novel mechanisms responsible for the discrepant activities between AS heads and tails were explored by a combined strategy of transcriptomes and metabolomics. Method:: Six pairs of the heads and tails of AS roots were collected in Min County, China. Total RNA and metabolites, which were used for RNA-seq and untargeted metabolomics analysis, were respectively isolated from each AS sample (0.1 g) by Trizol and methanol reagent. Subsequently, differentially expressed genes (DEGs) and discrepant pharmaceutical metabolites were identified for comparing AS heads and tails. Key DEGs and metabolites were quantified by qRT-PCR and targeted metabolomics experiment. Results:: Comprehensive analysis of transcriptomes and metabolomics results suggested that five KEGG pathways with significant differences included 57 DEGs. Especially, fourteen DEGs and six key metabolites were relation to the metabolic regulation of Phenylpropanoid biosynthesis (PB) pathway. Results of qRT-PCR and targeted metabolomics indicated that higher levels of expression of crucial genes in PB pathway, such as PAL, CAD, COMT and peroxidase in the tail of AS were positively correlated with levels of ferulic acid-related metabolites. The average content of ferulic acid in tails (569.58162.39 nmol/g) was higher than those in the heads (168.73  67.30 nmol/g) (P˂0.01); Caffeic acid in tails (3.82  0.88 nmol/g) vs heads (1.37  0.41 nmol/g) (P˂0.01), and Cinnamic acid in tails (0.24  0.09 nmol/g) vs heads (0.14  0.02 nmol/g) (P˂0.05). Conclusion:: Our work demonstrated that overexpressed genes and accumulated metabolites derived from PB pathway might be responsible for the discrepant pharmaceutical efficacies between AS heads and tails.

scholarly journals Transcriptomic and chemical analyses to identify candidate genes involved in color variation of sainfoin flowers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yu Qiao ◽  
Qiming Cheng ◽  
Yutong Zhang ◽  
Wei Yan ◽  
Fengyan Yi ◽  
...  
Keyword(s):  
Regulatory Networks ◽  
Flower Color ◽  
Color Variation ◽  
Anthocyanin Synthesis ◽  
Flower Formation ◽  
Factors Affecting ◽  
Phenylpropanoid Biosynthesis ◽  
Molecular Information ◽  
Illumina Hiseq4000 ◽  
Insight Into

Abstract Background Sainfoin (Onobrychis viciifolia Scop) is not only a high-quality legume forage, but also a nectar-producing plant. Therefore, the flower color of sainfoin is an important agronomic trait, but the factors affecting its flower phenotype are still unclear. To gain insights into the regulatory networks associated with metabolic pathways of coloration compounds (flavonoids or anthocyanins) and identify the key genes, we conducted a comprehensive analysis of the phenotype, metabolome and transcriptome of WF and AF of sainfoin. Results Delphinidin, petunidin and malvidin derivatives were the main anthocyanin compounds in the AF of sainfoin. These substances were not detected in the WF of sainfoin. The transcriptomes of WF and AF in sainfoin at the S1 and S3 stages were obtained using the Illumina HiSeq4000 platform. Overall, 10,166 (4273 upregulated and 5893 downregulated) and 15,334 (8174 upregulated and 7160 downregulated) DEGs were identified in flowers at S1 and S3 stages, respectively (WF-VS-AF). KEGG pathway annotations showed that 6396 unigenes were annotated to 120 pathways and contained 866 DEGs at S1 stages, and 6396 unigenes were annotated to 131 pathways and included 1546 DEGs at the S3 stage. Nine DEGs belonging to the “flavonoid biosynthesis”and “phenylpropanoid biosynthesis” pathways involved in flower color formation were identified and verified by RT-qPCR analyses. Among these DEGs, 4CL3, FLS, ANS, CHS, DFR and CHI2 exhibited downregulated expression, and F3H exhibited upregulated expression in the WF compared to the AF, resulting in a decrease in anthocyanin synthesis and the formation of WF in sainfoin. Conclusions This study is the first to use transcriptome technology to study the mechanism of white flower formation in sainfoin. Our transcriptome data will be a great enrichment of the genetic information for sainfoin. In addition, the data presented herein will provide valuable molecular information for genetic breeding and provide insight into the future study of flower color polymorphisms in sainfoin.

scholarly journals Proteomic and Transcriptomic Analyses Provide Novel Insights into the Crucial Roles of Host-Induced Carbohydrate Metabolism Enzymes in Xanthomonas oryzae pv. oryzae Virulence and Rice-Xoo Interaction

Rice ◽  
2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Guichun Wu ◽  
Yuqiang Zhang ◽  
Bo Wang ◽  
Kaihuai Li ◽  
Yuanlai Lou ◽  
...  
Keyword(s):  
Gene Expression ◽  
Signal Transduction ◽  
Amino Acids ◽  
Secondary Metabolites ◽  
Carbohydrate Metabolism ◽  
Virulence Factors ◽  
Global Gene Expression ◽  
Xanthomonas Oryzae ◽  
Oxidation Reduction ◽  
Phenylpropanoid Biosynthesis

Abstract Background Xanthomonas oryzae pv. oryzae (Xoo) causes bacterial leaf blight, a devastating rice disease. The Xoo-rice interaction, wherein wide ranging host- and pathogen-derived proteins and genes wage molecular arms race, is a research hotspot. Hence, the identification of novel rice-induced Xoo virulence factors and characterization of their roles affecting rice global gene expression profiles will provide an integrated and better understanding of Xoo-rice interactions from the molecular perspective. Results Using comparative proteomics and an in vitro interaction system, we revealed that 5 protein spots from Xoo exhibited significantly different expression patterns (|fold change| > 1.5) at 3, 6, 12 h after susceptible rice leaf extract (RLX) treatment. MALDI-TOF MS analysis and pathogenicity tests showed that 4 host-induced proteins, including phosphohexose mutase, inositol monophosphatase, arginase and septum site-determining protein, affected Xoo virulence. Among them, mutants of two host-induced carbohydrate metabolism enzyme-encoding genes, ΔxanA and Δimp, elicited enhanced defense responses and nearly abolished Xoo virulence in rice. To decipher rice differentially expressed genes (DEGs) associated with xanA and imp, transcriptomic responses of ΔxanA-treated and Δimp-treated susceptible rice were compared to those in rice treated with PXO99A at 1 and 3 dpi. A total of 1521 and 227 DEGs were identified for PXO99A vs Δimp at 1 and 3 dpi, while for PXO99A vs ΔxanA, there were 131 and 106 DEGs, respectively. GO, KEGG and MapMan analyses revealed that the DEGs for PXO99A vs Δimp were mainly involved in photosynthesis, signal transduction, transcription, oxidation-reduction, hydrogen peroxide catabolism, ion transport, phenylpropanoid biosynthesis and metabolism of carbohydrates, lipids, amino acids, secondary metabolites, hormones, and nucleotides, while the DEGs from PXO99A vs ΔxanA were predominantly associated with photosynthesis, signal transduction, oxidation-reduction, phenylpropanoid biosynthesis, cytochrome P450 and metabolism of carbohydrates, lipids, amino acids, secondary metabolites and hormones. Although most pathways were associated with both the Δimp and ΔxanA treatments, the underlying genes were not the same. Conclusion Our study identified two novel host-induced virulence factors XanA and Imp in Xoo, and revealed their roles in global gene expression in susceptible rice. These results provide valuable insights into the molecular mechanisms of pathogen infection strategies and plant immunity.

scholarly journals RcTGA1 and glucosinolate biosynthesis pathway involvement in the defence of rose against the necrotrophic fungus Botrytis cinerea

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Penghua Gao ◽  
Hao Zhang ◽  
Huijun Yan ◽  
Qigang Wang ◽  
Bo Yan ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Gene Annotation ◽  
Infected Plant ◽  
Grey Mould ◽  
Cascade Reactions ◽  
Postharvest Quality ◽  
Rna Seq ◽  
Protein Activity ◽  
Phenylpropanoid Biosynthesis ◽  
And Cluster Analysis

Abstract Background Rose is an important economic crop in horticulture. However, its field growth and postharvest quality are negatively affected by grey mould disease caused by Botrytis c. However, it is unclear how rose plants defend themselves against this fungal pathogen. Here, we used transcriptomic, metabolomic and VIGS analyses to explore the mechanism of resistance to Botrytis c. Result In this study, a protein activity analysis revealed a significant increase in defence enzyme activities in infected plants. RNA-Seq of plants infected for 0 h, 36 h, 60 h and 72 h produced a total of 54 GB of clean reads. Among these reads, 3990, 5995 and 8683 differentially expressed genes (DEGs) were found in CK vs. T36, CK vs. T60 and CK vs. T72, respectively. Gene annotation and cluster analysis of the DEGs revealed a variety of defence responses to Botrytis c. infection, including resistance (R) proteins, MAPK cascade reactions, plant hormone signal transduction pathways, plant-pathogen interaction pathways, Ca2+ and disease resistance-related genes. qPCR verification showed the reliability of the transcriptome data. The PTRV2-RcTGA1-infected plant material showed improved susceptibility of rose to Botrytis c. A total of 635 metabolites were detected in all samples, which could be divided into 29 groups. Metabonomic data showed that a total of 59, 78 and 74 DEMs were obtained for T36, T60 and T72 (T36: Botrytis c. inoculated rose flowers at 36 h; T60: Botrytis c. inoculated rose flowers at 60 h; T72: Botrytis c. inoculated rose flowers at 72 h) compared to CK, respectively. A variety of secondary metabolites are related to biological disease resistance, including tannins, amino acids and derivatives, and alkaloids, among others; they were significantly increased and enriched in phenylpropanoid biosynthesis, glucosinolates and other disease resistance pathways. This study provides a theoretical basis for breeding new cultivars that are resistant to Botrytis c. Conclusion Fifty-four GB of clean reads were generated through RNA-Seq. R proteins, ROS signalling, Ca2+ signalling, MAPK signalling, and SA signalling were activated in the Old Blush response to Botrytis c. RcTGA1 positively regulates rose resistance to Botrytis c. A total of 635 metabolites were detected in all samples. DEMs were enriched in phenylpropanoid biosynthesis, glucosinolates and other disease resistance pathways.

scholarly journals Transcriptome-Based Analysis of Phosphite-Induced Resistance against Pathogens in Rice

Plants ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1334
Author(s):  
Yuqing Huang ◽  
Shengguan Cai ◽  
Guoping Zhang ◽  
Songlin Ruan
Keyword(s):  
Signal Transduction ◽  
Molecular Mechanism ◽  
Differentially Expressed Genes ◽  
Induced Resistance ◽  
Plant Hormone ◽  
Xanthomonas Oryzae ◽  
Pyricularia Grisea ◽  
Protection Effect ◽  
Phenylpropanoid Biosynthesis ◽  
Xanthomonas Oryzae Pv.Oryzae

Phosphite (PHI) has been used in the management of Phytophthora diseases since the 1970s.We assessed the effect of PHI on controlling the incidence of Xanthomonas oryzae pv.oryzae and Pyricularia grisea. As a result, PHI application significantly inhibited the incidence of the diseases. To clarify the molecular mechanism underlying this, a transcriptome study was employed. In total, 2064 differentially expressed genes (DEGs) were identified between control and PHI treatment. The key DEGs could be classified into phenylpropanoid biosynthesis (ko00940), starch and sucrose metabolism (ko00500), and plant hormone signal transduction (ko04075). The expressions of defense-related genes had a higher expression lever upon PHI treatment. This study provides new insights into the mechanism of protection effect of PHI against pathogens.

Sign in / Sign up

Export Citation Format

Share Document