Background: The root of the perennial herb Angelica sinensis is a widely used source for traditional Chinese medicines. While the plant thrives in cool-moist regions of western China, early bolting and flowering (EBF) for young plants, significantly reduces root quality and yield. Approaches to inhibit EBF by changes in physiology during the vernalization process have been investigated, however the mechanism for activating EBF has not been identified. Here, transcript profiles for bolted and unbolted plants (BP and UBP, respectively) are compared.
Results: A total of over 72,000 unigenes were detected with ca. 2,600 differentially expressed genes (DEGs) observed in the BP compared with UBP. While various signaling pathways participate in flower induction, it is genes associated with floral development and the sucrose pathway that are observed to be coordinated in EBF plants, to coherently up and down regulate flowering genes that activate and inhibit flowering, respectively. Down-stream signal accumulation including gibberellic acids and sucrose metabolites were also monitored by HPLC-MS/MS for EBF plants.
Conclusions: The signature transcripts pattern for the developmental pathways that drive flowering provides insight into the molecular signals that activate plant EBF.

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This is a list of supplementary files associated with this preprint. Click to download.
Fig. S1 Growth and development of A. sinensis in a commercial production process. Fig. S2 Length distribution of assembled unigenes. Fig. S3 Read distribution of unigenes Fig. S4 Basic annotation for all unigenes. Fig. S5 Top 10 plant species distribution of the total homologous sequences. Fig. S6 Distribution of unigenes in the transcriptome with KOG functional classification. Sequences have a KOG classification among 25 categories. Fig. S7 Functional classifications of GO terms of all assembled unigenes. Fig. S8 Number of DEGs, correlation and volcano plot for unbolted versus bolted plants. Fig. S9 The GA biosynthesis pathways and the differentially expressed genes are highlighted in red. Fig. S10 Two-year-old bolted and unbolted plants of A. sinensis. Bar represents 5 cm. Fig. S11 The cluster analysis of the 40 DEGs comparing with the families in Arabidopsis thaliana. Fig. S12 Representative chromatograms of reference standard of GA1, GA4, GA8, GA9 and GA20. Fig. S13 Representative chromatograms of bolted (A) and unbolted plants (B) of A. sinensis. Table S1. Calibration curves of GA1, GA4, GA8, GA9 and GA20
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Posted 01 Dec, 2020
Posted 01 Dec, 2020
Background: The root of the perennial herb Angelica sinensis is a widely used source for traditional Chinese medicines. While the plant thrives in cool-moist regions of western China, early bolting and flowering (EBF) for young plants, significantly reduces root quality and yield. Approaches to inhibit EBF by changes in physiology during the vernalization process have been investigated, however the mechanism for activating EBF has not been identified. Here, transcript profiles for bolted and unbolted plants (BP and UBP, respectively) are compared.
Results: A total of over 72,000 unigenes were detected with ca. 2,600 differentially expressed genes (DEGs) observed in the BP compared with UBP. While various signaling pathways participate in flower induction, it is genes associated with floral development and the sucrose pathway that are observed to be coordinated in EBF plants, to coherently up and down regulate flowering genes that activate and inhibit flowering, respectively. Down-stream signal accumulation including gibberellic acids and sucrose metabolites were also monitored by HPLC-MS/MS for EBF plants.
Conclusions: The signature transcripts pattern for the developmental pathways that drive flowering provides insight into the molecular signals that activate plant EBF.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
Fig. S1 Growth and development of A. sinensis in a commercial production process. Fig. S2 Length distribution of assembled unigenes. Fig. S3 Read distribution of unigenes Fig. S4 Basic annotation for all unigenes. Fig. S5 Top 10 plant species distribution of the total homologous sequences. Fig. S6 Distribution of unigenes in the transcriptome with KOG functional classification. Sequences have a KOG classification among 25 categories. Fig. S7 Functional classifications of GO terms of all assembled unigenes. Fig. S8 Number of DEGs, correlation and volcano plot for unbolted versus bolted plants. Fig. S9 The GA biosynthesis pathways and the differentially expressed genes are highlighted in red. Fig. S10 Two-year-old bolted and unbolted plants of A. sinensis. Bar represents 5 cm. Fig. S11 The cluster analysis of the 40 DEGs comparing with the families in Arabidopsis thaliana. Fig. S12 Representative chromatograms of reference standard of GA1, GA4, GA8, GA9 and GA20. Fig. S13 Representative chromatograms of bolted (A) and unbolted plants (B) of A. sinensis. Table S1. Calibration curves of GA1, GA4, GA8, GA9 and GA20
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