application-of-dna-barcoding-to-identify-medicinal-plants

Application of DNA Barcoding to Identify Medicinal Plants

Medicinal plants are valuable resources globally and are used worldwide to maintain health and treat disease; however, the presence of adulteration ...

Guizhou University of Traditional Chinese Medicine

Chengdu University of Traditional Chinese Medicine

Karst-adapted plant, Lysionotus pauciflours accumulates special secondary metabolites with a wide range of pharmacological effects for surviving in drought and high salty areas, while researchers focused more on their environmental adaptations and evolutions. Nevadensin (5,7-dihydroxy-6,8,4'-trimethoxyflavone), the main active component in L. pauciflours, has unique bioactivity of such as anti-inflammatory, anti-tubercular, and anti-tumor or cancer. Complex decoration of nevadensin, such as hydroxylation and glycosylation of the flavone skeleton determines its diversity and biological activities. The lack of omics data limits the exploration of accumulation mode and biosynthetic pathway. Herein, we integrated transcriptomics, metabolomics, and microbial recombinant protein system to reveal hydroxylation and glycosylation involving nevadensin biosynthesis in L. pauciflours.

Integrated multi-omics analysis and microbial recombinant protein system reveal hydroxylation and glycosylation involving nevadensin biosynthesis in Lysionotus pauciflorus.

, a medicinal plant of the family Apocynaceae, is known as an effective and widely used clinical prescription for the treatment of rheumatoid diseases. In this study, we de novo sequenced and assembled the completement chloroplast (cp) genome of  based on combined Oxford Nanopore PromethION and Illumina data. The cp genome was 153 724 bp in length and had four subregions. Moreover, an 84 433 bp large single-copy and a 17 731 bp small single-copy were separated by 25 780 bp inverted repeats (IRs). The cp genome included 132 genes with 18 duplicates in the IRs. A total of 45 repeat structures and 183 simple sequence repeats were detected. Codon usage showed a bias toward A/T-ending codons. A comparative study of Apocynaceae revealed that an IR expansion occurred on . The Ka/Ks values of eight species of Apocynaceae suggested that positive selection was exerted on the  and  genes, which might reflect specific adaptions to the  particular growth environment. Phylogenetic analysis indicated that Periplocoideae was a sister to Asclepiadoideae, forming a monophyletic group in the family Apocynaceae. This study provided an important  genomic resource for future evolutionary studies and the phylogenetic reconstruction of the family Apocynaceae.

Characterization and molecular evolution analysis of  inferred from its complete chloroplast genome sequence.

Gene annotation is essential for genome-based studies. However, algorithm-based genome annotation is difficult to fully and correctly reveal genomic information, especially for species with complex genomes. Artemisia annua L. is the only commercial resource of artemisinin production though the content of artemisinin is still to be improved. Genome-based genetic modification and breeding are useful strategies to boost artemisinin content and therefore, ensure the supply of artemisinin and reduce costs, but better gene annotation is urgently needed. In this study, we manually corrected the newly released genome annotation of A. annua using second- and third-generation transcriptome data. We found that incorrect gene information may lead to differences in structural, functional, and expression levels compared to the original expectations. We also identified alternative splicing events and found that genome annotation information impacted identifying alternative splicing genes. We further demonstrated that genome annotation information and alternative splicing could affect gene expression estimation and gene function prediction. Finally, we provided a valuable version of A. annua genome annotation and demonstrated the importance of gene annotation in future research.

Manual correction of genome annotation improved alternative splicing identification of Artemisia annua.

The evaluation of germplasm resources is the prerequisite for the development, utilization, and conservation of Chinese medicinal resources. The selection of excellent germplasm is the key to the breeding and orderly production of Pinellia ternata. In this study, 21 germplasm materials of P. ternata from major production areas in China were collected and analyzed for population diversity after phenotypic preliminary screening. The results have revealed that the P. ternata population has abundant phenotypic variation, and the phenotypic changes could be divided into five phenotypes in terms of organ trait variation. Further analysis of variation in 20 quantitative traits of the population revealed that the coefficient of variation for adenosine content(339.05%) was the largest, while the coefficient of variation for the underground plant height(16.35%) was the smallest. Correlation analysis showed that there was a strong correlation among various traits, with 52 pairs of traits showing highly significant correlation(P&lt;0.01) and 19 pairs of traits showing a significant correlation(P&lt;0.05). The 21 germplasms in the test could be classified into three major clusters by cluster analysis, with Cluster Ⅱ having the highest number and content of nucleosides, making it suitable for the selection and breeding of P. ternata varieties with high content of nucleosides. The yield in Cluster Ⅲ was higher than that in other groups, making it suitable for the selection and breeding of P. ternata varieties with a high yield. All trait indicators could be simplified into five principal component factors through principal component analysis, and the cumulative contribution rate was up to 86.04%. Further, comprehensive analysis using membership function and stepwise regression analysis identified nine traits, such as plant height, main leaf length, and underground plant height as characteristic indicators for the comprehensive evaluation of germplasm resources of P. ternata. BX007, BX008, and BX005 were identified as germplasms with both high yield and high uridine content, with BX007 having the highest uridine content of 479.51 μg·g~(-1). It belonged to the germplasm of P. ternata with double bulbils and could be cultivated as a potential good variety. Based on the phenotypic classification of P. ternata, systematic resource evaluation was carried out in this study, which could lay a foundation for the excavation of genetic resources and the breeding of new varieties of P. ternata.

[Comprehensive evaluation of Pinellia ternata germplasm resources based on phenotypic trait classification].

Cepharanthine is a secondary metabolite isolated from Stephania. It has been reported that it has anti-conronaviruses activities including severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Here, we assemble three Stephania genomes (S. japonica, S. yunnanensis, and S. cepharantha), propose the cepharanthine biosynthetic pathway, and assess the antiviral potential of compounds involved in the pathway. Among the three genomes, S. japonica has a near telomere-to-telomere assembly with one remaining gap, and S. cepharantha and S. yunnanensis have chromosome-level assemblies. Following by biosynthetic gene mining and metabolomics analysis, we identify seven cepharanthine analogs that have broad-spectrum anti-coronavirus activities, including SARS-CoV-2, Guangxi pangolin-CoV (GX_P2V), swine acute diarrhoea syndrome coronavirus (SADS-CoV), and porcine epidemic diarrhea virus (PEDV). We also show that two other genera, Nelumbo and Thalictrum, can produce cepharanthine analogs, and thus have the potential for antiviral compound discovery. Results generated from this study could accelerate broad-spectrum anti-coronavirus drug discovery.

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery.

G protein-coupled receptors (GPCRs) widely exist in vivo and participate in many physiological processes, thus emerging as important targets for drug development. Approximately 30% of the Food and Drug Administration (FDA)-approved drugs target GPCRs. To date, the 'one disease, one target, one molecule' strategy no longer meets the demands of drug development. Meanwhile, small-molecule drugs account for 60% of FDA-approved drugs. Traditional Chinese medicine (TCM) has garnered widespread attention for its unique theoretical system and treatment methods. TCM involves multiple components, targets and pathways. Centered on GPCRs and TCM, this paper discusses the similarities and differences between TCM and GPCRs from the perspectives of syndrome of TCM, the consistency of TCM's multi-component and multi-target approaches and the potential of GPCRs and TCM in the development of novel drugs. A novel strategy, 'simultaneous screening of drugs and targets', was proposed and applied to the study of GPCRs. We combine GPCRs with TCM to facilitate the modernisation of TCM, provide valuable insights into the rational application of TCM and facilitate the research and development of novel drugs. This study offers theoretical support for the modernisation of TCM and introduces novel ideas for development of safe and effective drugs.

G protein-coupled receptors and traditional Chinese medicine: new thinks for the development of traditional Chinese medicine.

Covering: up to June 2024Benzylisoquinoline alkaloids (BIAs) represent a diverse class of plant specialized metabolites derived from L-tyrosine, exhibiting significant pharmacological properties such as anti-microbial, anti-spasmodic, anti-cancer, cardiovascular protection, and analgesic effects. The industrial production of valuable BIAs relies on extraction from plants; however, challenges concerning their low concentration and efficiency hinder drug development. Hence, alternative approaches, including biosynthesis and chemoenzymatic synthesis, have been explored. Model species like  and  have played a key role in unraveling the biosynthetic pathways of BIAs; however, many aspects, particularly modified steps like oxidation and methylation, remain unclear. Critical enzymes, , CYP450s and methyltransferases, play a substantial role in BIA backbone formation and modification, which is essential for understanding the origin and adaptive evolution of these plant specialized metabolites. This review comprehensively analyzes the structural diversity of reported BIAs and their distribution in plant lineages. In addition, the progress in understanding biosynthesis, evolution, and catalytic mechanisms underlying BIA biosynthesis is summarized. Finally, we discuss the progress and challenges in metabolic engineering, providing valuable insights into BIA drug development and the sustainable utilization of BIA-producing plants.

Structural diversity, evolutionary origin, and metabolic engineering of plant specialized benzylisoquinoline alkaloids.

Artemisinin, a potent antimalarial compound, is predominantly derived from Artemisia annua. The uniqueness of artemisinin production in A. annua lies in its complex biochemical pathways and genetic composition, distinguishing it from other plant species, even within the Asteraceae family. In this review, we investigate the potential of A. annua for artemisinin production, drawing evidence from natural populations and mutants. Leveraging high-quality whole-genome sequence analyses, we offer insights into the evolution of artemisinin biosynthesis. We also highlight current understanding of the protective functions of artemisinin in A. annua in response to both biotic and abiotic stresses. In addition, we explore the mechanisms used by A. annua to mitigate the phytotoxicity generated by artemisinin catabolism.

Shilin Chen

School of Pharmacy

Guizhou University of Traditional Chinese Medicine

Application of DNA Barcoding to Identify Medicinal Plants

Shilin Chen

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}School of Pharmacy

Guizhou University of Traditional Chinese Medicine

Application of DNA Barcoding to Identify Medicinal Plants

School of Pharmacy