A Comparison of Phenylpropanoid Pathway Gene Families in Common Bean. Focus on P450 and C4H Genes

Reinprecht, Yarmilla; Perry, Gregory E.; Pauls, K. Peter

doi:10.1007/978-3-319-63526-2_11

Cited by 10 publications

(10 citation statements)

References 152 publications

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“…Next, we checked the expression levels of genes involved in coumestrol biosynthesis ( Figure 5 ) following the application of various hormones alone or in combination as described above. Two genes, CYP81E28 (Gm08G089500) and CYP81E22 (Gm16G149300), are known to be involved in the hydroxylation of daidzein during coumestrol biosynthesis ( Reinprecht et al, 2017 ). Overall, we did not find any statistical difference between the expression of CYP81E28 in plants treated with any of the phytohormone alone or in combination after 3, 5, or 10 days.…”

Section: Resultsmentioning

confidence: 99%

A Potential Role of Coumestrol in Soybean Leaf Senescence and Its Interaction With Phytohormones

et al. 2021

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Coumestrol is a natural organic compound synthesized in soy leaves and functions as a phytoalexin. The coumestrol levels in plants are reported to increase upon insect attack. This study investigates the correlation between coumestrol, senescence, and the effect of phytohormones on the coumestrol levels in soybean leaves. Our analysis involving high-performance liquid chromatography and 2-D gel electrophoresis indicated a significant difference in the biochemical composition of soybean leaves at various young and mature growth stages. Eight chemical compounds were specifically detected in young leaves (V1) only, whereas three different coumestans isotrifoliol, coumestrol, and phaseol were detected only in mature, yellow leaves of the R6 and R7 growth stage. MALDI-TOF-MS analysis was used to identify two proteins 3,9 -dihydroxypterocarpan 6A-monooxygenase (CYP93A1) and isoflavone reductase homolog 2 (IFR2) only in mature leaves, which are key components of the coumestrol biosynthetic pathway. This indicates that senescence in soybean is linked to the accumulation of coumestrol. Following the external application of coumestrol, the detached V1-stage young leaves turned yellow and showed an interesting development of roots at the base of the midrib. Additionally, the application of phytohormones, including SA, methyl jasmonate (MeJA), and ethephon alone and in various combinations induced yellowing within 5 days of the application with a concomitant significant increase in endogenous coumestrol accumulation. This was also accompanied by a significant increase in the expression of genes CYP81E28 (Gm08G089500), CYP81E22 (Gm16G149300), GmIFS1, and GmIFS2. These results indicate that various coumestans, especially coumestrol, accumulate during leaf maturity, or senescence in soybean.

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Section: Resultsmentioning

confidence: 99%

A Potential Role of Coumestrol in Soybean Leaf Senescence and Its Interaction With Phytohormones

et al. 2021

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“…And these genes had been investigated and reported in previous studies [24][25][26][27][28][29][30][31][32][33]. C4H had been reported not only the key enzyme involved in the second step of avonoid synthesis, but also is the rst oxidoreductase of cytochrome P450 in phenylpropane biosynthesis pathway, which catalyzed a speci c hydroxylation reaction and generated coumaric acid that was a precursor of avonoids [24]. CCoAOMT contributed to the formation of Phenylpropylene, and the down-regulation of its expression would lead to the activation of biosynthesis of anthocyanins [25].…”

Section: Discussionmentioning

confidence: 99%

“…In this study, we identi ed 12 genes (C4H, CCoAOMT, F3'H, UA3'5'GT, PAL, 4CL, CCR, CAD, CALDH, Bglx, SGTase and E1.11.17) that related ower color synthesis pathways. And these genes had been investigated and reported in previous studies [24][25][26][27][28][29][30][31][32][33]. C4H had been reported not only the key enzyme involved in the second step of avonoid synthesis, but also is the rst oxidoreductase of cytochrome P450 in phenylpropane biosynthesis pathway, which catalyzed a speci c hydroxylation reaction and generated coumaric acid that was a precursor of avonoids [24].…”

Section: Discussionmentioning

confidence: 99%

Transcriptome analysis of flower color reveals the correlation between SNP and differential expression genes in Phalaenopsis

Ding¹,

Yang²,

Wang³

et al. 2021

Preprint

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Background Phalaenopsis is an important ornamental plant, which occupies an important position in the world flower market and has great economic value due to its rich and diverse flower colors. In order to investigate the flower color formation of Phalaenopsis at transcription level, the flower color formation involved genes were identified from RNA-seq in this study.Results White and purple petals of Phalaenopsis were collected in this study, and results were focused on two aspects: (1) the differential expression genes (DEGs) between white and purple flower color; and (2) association between SNP mutations and DEGs in transcriptome level. Results indicated that a total of 1,175 DEGs were identified, and the up- and down-regulation genes were 718 and 457, respectively. Gene Ontology (GO) and pathway enrichment showed that the biosynthesis of secondary metabolites pathway was key responsible for color formation and twelve crucial genes (C4H, CCoAOMT, F3'H, UA3'5'GT, PAL, 4CL, CCR, CAD, CALDH, bglx, SGTase and E1.11.17) from them involved in the regulation of flower color in Phalaenopsis. Conclusion This study firstly reported that the SNP mutations strongly associated with DEGs in color formation at RNA level, and provides a new insight to further investigate the gene expression and its relationship with genetic variants from RNA-seq data in other species.

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“…Transcriptomics revealed that members of gene families generally associated with the phenylpropanoid pathway in plants (Reinprecht, Perry, & Pauls, 2017) such as DIR, PER-LAC, cytochrome P450, NmrA-like and O-methyltransferases were differentially expressed in white spruce (Table 3; Figure 6). Some key genes involved in the flavonoid pathway (FLS, UGT and F3H, Figure 6) displayed opposite gene expression patterns in individuals producing high levels of taxifolin glucoside and gallocatechin.…”

Section: Trancriptomics Highlighted Key Genes Involved In the Phenylp...mentioning

confidence: 99%

Combining QTL mapping and transcriptomics to decipher the genetic architecture of phenolic compounds metabolism in a conifer

Laoué

Depardieu

Gérardi

et al. 2022

Preprint

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Conifer forests worldwide are becoming increasingly vulnerable to the effects of climate change. Although phenolic compounds (PCs) have been shown to be modulated by biotic and abiotic stresses, the genetic basis underlying the variation in their basal composition remains poorly documented in conifers. We used QTL mapping and RNA-Seq to explore the complex polygenic network underlying the constitutive production of PCs in white spruce (Picea glauca) full-sib progeny for two years. QTL detection was conducted for nine PCs and differentially expressed genes (DEGs) were identified between individuals with high and low PC contents for five PCs exhibiting stable QTLs across time. A total of 17 QTLs were detected for eight metabolites, including one major QTL explaining up to 91.3% of the neolignan-2 variance. The RNA-Seq analysis highlighted 50 DEGs associated with phenylpropanoid biosynthesis, several key transcription factors, and 137 genes showing opposite expression patterns in individuals with high levels of the flavonoids gallocatechin and taxifolin glucoside. A total of 19 DEGs co-localised with QTLs. Our findings represent a significant step towards resolving the genomic architecture of PC production in spruce and enhancing the functional characterization of genes and transcriptional networks responsible for differences in constitutive production of PCs in conifers.

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A Comparison of Phenylpropanoid Pathway Gene Families in Common Bean. Focus on P450 and C4H Genes

Cited by 10 publications

References 152 publications

A Potential Role of Coumestrol in Soybean Leaf Senescence and Its Interaction With Phytohormones

A Potential Role of Coumestrol in Soybean Leaf Senescence and Its Interaction With Phytohormones

Transcriptome analysis of flower color reveals the correlation between SNP and differential expression genes in Phalaenopsis

Combining QTL mapping and transcriptomics to decipher the genetic architecture of phenolic compounds metabolism in a conifer

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