4.6 Article

Transcriptomic analyses provide new insights into green and purple color pigmentation in Rheum tanguticum medicinal plants

Journal

PEERJ
Volume 10, Issue -, Pages -

Publisher

PEERJ INC
DOI: 10.7717/peerj.14265

Keywords

Rheum tanguticum; Color; RNA-seq; Chlorophyll

Funding

  1. Major Science and Technology Projects of Yunnan Province (Digitalization, development and application of biotic resource) [860 202002AA100007]
  2. National Key R&D Program of China [2019YFC1711000]
  3. Shenzhen Municipal Government of China [JCYJ20170817145512476, JCYJ20180507183534578]
  4. Guangdong Provincial Key Laboratory of Genome Read and Write [2017B030301011]
  5. NMPA Key Laboratory for the Rapid Testing Technology of Drugs

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This study reveals the impact of chlorophyll degradation enzymes on purple pigmentation in Rheum tanguticum and provides insights into the transcriptional regulation and biosynthesis of medicinally active compounds in the future.
Background. Rheum tanguticum Maxim. ex Balf is a traditional Chinese medicinal plant that is commonly used to treat many ailments. It belongs to the Polygonacae family and grows in northwest and southwest China. At high elevations, the color of the plant's young leaves is purple, which gradually changes to green during the growth cycle. Anthraquinone, which is known for various biological activities, is the main bioactive compound in R. tanguticum. Although a significant amount of research has been done on R. tanguticum in the past, the lack of transcriptome data limits our knowledge of the gene regulatory networks involved in pigmentation and in the metabolism of bioactive compounds in Rheum species. Methods. To fill this knowledge gap, we generated high-quality RNA-seq data and performed multi-tissue transcriptomic analyses of R. tanguticum. Results. We found that three chlorophyll degradation enzymes (RtPPH, RtPao and RtRCCR) were highly expressed in purple samples, which suggests that the purple pigmentation is mainly due to the effects of chlorophyll degradation. Overall, these data may aid in drafting the transcriptional network in the regulation and biosynthesis of medicinally active compounds in the future.

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