IMP: bridging the gap for medicinal plant genomics.

Medicinal plants have garnered significant attention in ethnomedicine and traditional medicine due to their potential antitumor, anti-inflammatory and antioxidant properties. Recent advancements in genome sequencing and synthetic biology have revitalized interest in natural products. Despite the availability of sequenced genomes and transcriptomes of these plants, the absence of publicly accessible gene annotations and tabular formatted gene expression data has hindered their effective utilization. To address this pressing issue, we have developed IMP (Integrated Medicinal Plantomics), a freely accessible platform at https://www.bic.ac.cn/IMP. IMP curated a total of 8 565 672 genes for 84 high-quality genome assemblies, and 2156 transcriptome sequencing samples encompassing various organs, tissues, developmental stages and stimulations. With the integrated 10 analysis modules, users could simply examine gene annotations, sequences, functions, distributions and expressions in IMP in a one-stop mode. We firmly believe that IMP will play a vital role in enhancing the understanding of molecular metabolic pathways in medicinal plants or plants with medicinal benefits, thereby driving advancements in synthetic biology, and facilitating the exploration of natural sources for valuable chemical constituents like drug discovery and drug production.

From single- to multi-omics: future research trends in medicinal plants.

Medicinal plants are the main source of natural metabolites with specialised pharmacological activities and have been widely examined by plant researchers. Numerous omics studies of medicinal plants have been performed to identify molecular markers of species and functional genes controlling key biological traits, as well as to understand biosynthetic pathways of bioactive metabolites and the regulatory mechanisms of environmental responses. Omics technologies have been widely applied to medicinal plants, including as taxonomics, transcriptomics, metabolomics, proteomics, genomics, pangenomics, epigenomics and mutagenomics. However, because of the complex biological regulation network, single omics usually fail to explain the specific biological phenomena. In recent years, reports of integrated multi-omics studies of medicinal plants have increased. Until now, there have few assessments of recent developments and upcoming trends in omics studies of medicinal plants. We highlight recent developments in omics research of medicinal plants, summarise the typical bioinformatics resources available for analysing omics datasets, and discuss related future directions and challenges. This information facilitates further studies of medicinal plants, refinement of current approaches and leads to new ideas.

AtML: An Arabidopsis thaliana root cell identity recognition tool for medicinal ingredient accumulation.

Arabidopsis thaliana synthesizes various medicinal compounds, and serves as a model plant for medicinal plant research. Single-cell transcriptomics technologies are essential for understanding the developmental trajectory of plant roots, facilitating the analysis of synthesis and accumulation patterns of medicinal compounds in different cell subpopulations. Although methods for interpreting single-cell transcriptomics data are rapidly advancing in Arabidopsis, challenges remain in precisely annotating cell identity due to the lack of marker genes for certain cell types. In this work, we trained a machine learning system, AtML, using sequencing datasets from six cell subpopulations, comprising a total of 6000 cells, to predict Arabidopsis root cell stages and identify biomarkers through complete model interpretability. Performance testing using an external dataset revealed that AtML achieved 96.50% accuracy and 96.51% recall. Through the interpretability provided by AtML, our model identified 160 important marker genes, contributing to the understanding of cell type annotations. In conclusion, we trained AtML to efficiently identify Arabidopsis root cell stages, providing a new tool for elucidating the mechanisms of medicinal compound accumulation in Arabidopsis roots.

Comparative analysis of medicinal plants Scutellaria baicalensis and common adulterants based on chloroplast genome sequencing.

BACKGROUND: Scutellaria baicalensis Georgi has been extensively used as a medicinal herb in China for over 2000 years. They may be intentionally or inadvertently substituted or blended with comparable species in the local market, threatening clinical medication safety. Molecular markers are effective tools to prevent misidentification and eliminate doping and falsification among Scutellaria plants. This study screened four highly variable regions to identify Scutellaria and its adulterants. In addition, a phylogenetic analysis was performed using the complete cp genome combined with published Scutellaria species samples. Moreover, a comparative analysis of the cp genomes was conducted to investigate the cp genome evolution of S. baicalensis. RESULTS: The complete cp genome of five species of Scutellaria was sequenced for the first time, and four previously published Scutellaria species were re-sequenced. They all exhibited a conserved quadripartite structure in their cp genomes, including two distinct regions, namely a small and large single copy region, respectively, and two inverted repeats encompassing the majority of ribosomal RNA genes. Furthermore, the nine species exhibited high conservation from aspects of the genome structure, codon usage, repeat sequences, and gene content. Four highly variable regions (matK-rps16, ndhC-trnV-UAC, psbE-petL, and rps16-trnQ-UUG) may function as potential molecular markers for differentiating S. baicalensis from its adulterants. Additionally, the monophyly of Scutellaria was ascertained and could be reclassified into two subgenera, subgenus Anaspis and subgenus Scutellaria, as evidenced by the phylogenetic analyses on sequences of cp genome and shared protein-coding sequences. According to the molecular clock analysis, it has been inferred that the divergence of Scutellaria occurred at approximately 4.0 Mya during the Pliocene Epoch. CONCLUSION: Our study provides an invaluable theoretical basis for further Scutellaria species identification, phylogenetics, and evolution analysis.

Assembly and comparative analysis of the complete mitochondrial genome of Fritillaria ussuriensis Maxim. (Liliales: Liliaceae), an endangered medicinal plant.

BACKGROUND: Fritillaria ussuriensis is an endangered medicinal plant known for its notable therapeutic properties. Unfortunately, its population has drastically declined due to the destruction of forest habitats. Thus, effectively protecting F. ussuriensis from extinction poses a significant challenge. A profound understanding of its genetic foundation is crucial. To date, research on the complete mitochondrial genome of F. ussuriensis has not yet been reported. RESULTS: The complete mitochondrial genome of F. ussuriensis was sequenced and assembled by integrating PacBio and Illumina sequencing technologies, revealing 13 circular chromosomes totaling 737,569 bp with an average GC content of 45.41%. A total of 55 genes were annotated in this mitogenome, including 2 rRNA genes, 12 tRNA genes, and 41 PCGs. The mitochondrial genome of F. ussuriensis contained 192 SSRs and 4,027 dispersed repeats. In the PCGs of F. ussuriensis mitogenome, 90.00% of the RSCU values exceeding 1 exhibited a preference for A-ended or U-ended codons. In addition, 505 RNA editing sites were predicted across these PCGs. Selective pressure analysis suggested negative selection on most PCGs to preserve mitochondrial functionality, as the notable exception of the gene nad3 showed positive selection. Comparison between the mitochondrial and chloroplast genomes of F. ussuriensis revealed 20 homologous fragments totaling 8,954 bp. Nucleotide diversity analysis revealed the variation among genes, and gene atp9 was the most notable. Despite the conservation of GC content, mitogenome sizes varied significantly among six closely related species, and colinear analysis confirmed the lack of conservation in their genomic structures. Phylogenetic analysis indicated a close relationship between F. ussuriensis and Lilium tsingtauense. CONCLUSIONS: In this study, we sequenced and annotated the mitogenome of F. ussuriensis and compared it with the mitogenomes of other closely related species. In addition to genomic features and evolutionary position, this study also provides valuable genomic resources to further understand and utilize this medicinal plant.

Low-cost CRISPR diagnostics for resource-limited settings.

Next-generation sequencing (NGS) has identified disease hallmarks and catalogued a vast reservoir of genetic information from humans and other species. Precise nucleotide-interrogation properties of clustered regularly interspaced short palindromic repeats (CRISPR) proteins have been harnessed to rapidly identify DNA-RNA signatures for diverse applications, bypassing the cost and turnaround times associated with diagnostic NGS.

Extraction and analysis of high-quality chloroplast DNA with reduced nuclear DNA for medicinal plants.

BACKGROUND: Obtaining high-quality chloroplast genome sequences requires chloroplast DNA (cpDNA) samples that meet the sequencing requirements. The quality of extracted cpDNA directly impacts the efficiency and accuracy of sequencing analysis. Currently, there are no reported methods for extracting cpDNA from Erigeron breviscapus. Therefore, we developed a suitable method for extracting cpDNA from E. breviscapus and further verified its applicability to other medicinal plants. RESULTS: We conducted a comparative analysis of chloroplast isolation and cpDNA extraction using modified high-salt low-pH method, the high-salt method, and the NaOH low-salt method, respectively. Subsequently, the number of cpDNA copies relative to the nuclear DNA (nDNA ) was quantified via qPCR. As anticipated, chloroplasts isolated from E. breviscapus using the modified high-salt low-pH method exhibited intact structures with minimal cell debris. Moreover, the concentration, purity, and quality of E. breviscapus cpDNA extracted through this method surpassed those obtained from the other two methods. Furthermore, qPCR analysis confirmed that the modified high-salt low-pH method effectively minimized nDNA contamination in the extracted cpDNA. We then applied the developed modified high-salt low-pH method to other medicinal plant species, including Mentha haplocalyx, Taraxacum mongolicum, and Portulaca oleracea. The resultant effect on chloroplast isolation and cpDNA extraction further validated the generalizability and efficacy of this method across different plant species. CONCLUSIONS: The modified high-salt low-pH method represents a reliable approach for obtaining high-quality cpDNA from E. breviscapus. Its universal applicability establishes a solid foundation for chloroplast genome sequencing and analysis of this species. Moreover, it serves as a benchmark for developing similar methods to extract chloroplast genomes from other medicinal plants.

Complete plastome genomes of three medicinal heliotropiaceae species: comparative analyses and phylogenetic relationships.

BACKGROUND: Heliotropiaceae is a family of the order Boraginales and has over 450 species. The members of the family Heliotropiaceae have been widely reported to be used in traditional medicine Over time, the classification of Heliotropiaceae has remained uncertain and has moved from family to subfamily, or conversely. RESULTS: In the present study, we sequenced, analyzed, and compared the complete plastomes of Euploca strigosa, Heliotropium arbainense, and Heliotropium longiflorum with the genomes of related taxa. The lengths of the plastomes of E. strigosa, H. arbainense, and H. longiflorum were 155,174 bp, 154,709 bp, and 154,496 bp, respectively. Each plastome consisted of 114 genes: 80 protein-coding genes, 4 ribosomal RNA genes, and 30 transfer RNA genes. The long repeats analysis indicated that reverse, palindromic, complement and forward repeats were all found in the three plastomes. The simple repeats analysis showed that the plastomes of E. strigosa, H. arbainense, and H. longiflorum contained 158, 165, and 151 microsatellites, respectively. The phylogenetic analysis confirmed two major clades in the Boraginales: clade I comprised Boraginaceae, while clade II included Heliotropiaceae, Ehretiaceae, Lennoaceae, and Cordiaceae. Inside the family Heliotropiaceae, E. strigosa is nested within the Heliotropium genus. CONCLUSIONS: This study expands our knowledge of the evolutionary relationships within Heliotropiaceae and offers useful genetic resources.

Comparative and phylogenetic analysis of the chloroplast genomes of four commonly used medicinal cultivars of Chrysanthemums morifolium.

'Boju' and 'Huaiju' are cultivars of the Chrysanthemum (Chrysanthemum morifolium Ramat.) in the family Asteraceae, valued for their medicinal, tea, and ornamental properties, and valued by individuals. However, the yield and quality of medicinal chrysanthemums are limited by the characteristics of the germplasm resources, including the identification at the varieties and cultivation levels. Currently, research characterizing the chloroplast genomes of medicinal Chrysanthemum flowers is relatively limited. This study conducted chloroplast whole-genome sequencing on two cultivars of Chrysanthemum, 'Boju' and 'Huaiju', and compared them with the previously published chloroplast genomes of 'Hangbaiju' and 'Gongju'. The study analyzed the chloroplast genome structures of these four medicinal Chrysanthemums, identifying mutation hotspots and clarifying their phylogenetic relationships. The chloroplast genome sizes of four medicinal Chrysanthemum cultivation products ranged from 151,057 to 151,109 bp, with GC content ranging from 37.45% to 37.76%. A total of 134 genes were identified, including 89 protein-coding genes, 37 ribosomal RNA genes, and 8 transfer RNA genes. Comparative genomic analysis revealed 159 large repeat sequences, 276 simple sequence repeats, 1 gene, and 8 intergenic regions identified as highly variable regions. Nucleotide diversity (Pi) values were high (≥ 0.004) for the petN-psbM, trnR-UCU-trnT-GGU, trnT-GGU-psbD, ndhC-trnV-UCA, ycf1, ndhI-ndhG, trnL-UGA-rpl32, rpl32-ndhF, and ndhF-ycf1 fragments, aiding in variety identification. Phylogenetic analysis revealed consistent results between maximum likelihood and Bayesian inference trees, showing that the four medicinal Chrysanthemum cultivars, along with their wild counterparts and related species, evolved as a monophyletic group, forming a sister clade to Artemisia and Ajania. Among the six Chrysanthemum species, the wild Chrysanthemum diverged first (Posterior probability = 1, bootstrap = 1,000), followed by Ajania, while C. indicum and C. morifolium clustered together (Bootstrap = 100), indicating their closest genetic relationship. The chloroplast whole-genome data and characteristic information provided in this study can be used for variety identification, genetic conservation, and phylogenetic analysis within the family Asteraceae.

Genetic diversities in wild and cultivated populations of the two closely-related medical plants species, Tripterygium Wilfordii and T. Hypoglaucum (Celastraceae).

BACKGROUND: The sustainable supply of medicinal plants is important, and cultivating and domesticating them has been suggested as an optimal strategy. However, this can lead to a loss of genetic diversity. Tripterygium wilfordii Hook. f. is a medicinal plant commonly used in traditional Chinese medicine, but its wild populations are dwindling due to excessive harvesting. To protect the species and meet the increasing demand, it is urgent to cultivate it on a large scale. However, distinguishing between T. wilfordii and T. hypoglaucum, two similar species with different medicinal properties, is challenging. Therefore, it is crucial to understand the genetic diversity and population structure of these species for their sustainable utilization. RESULTS: In this study, we investigated the genetic diversity and population structure of the two traditional medicinal semiwoody vines plant species, Tripterygium wilfordii and T. hypoglaucum, including wild and cultivated populations using chloroplast DNA (cpDNA) sequences and microsatellite loci. Our results indicated that the two species maintain a high level of genetic divergence, indicating possible genetic bases for the different contents of bioactive compounds of the two species. T. wilfordii showed lower genetic diversity and less subdivided population structures of both markers than T. hypoglaucum. The potential factors in shaping these interesting differences might be differentiated pollen-to-seed migration rates, interbreeding, and history of population divergence. Analyses of cpDNA and microsatellite loci supported that the two species are genetically distinct entities. In addition, a significant reduction of genetic diversity was observed for cultivated populations of the two species, which mainly resulted from the small initial population size and propagated vegetative practice during their cultivation. CONCLUSION: Our findings indicate significant genetic divergence between T. wilfordii and T. hypoglaucum. The genetic diversity and population structure analyses provide important insights into the sustainable cultivation and utilization of these medicinal plants. Accurate identification and conservation efforts are necessary for both species to ensure the safety and effectiveness of crude drug use. Our study also highlighted the importance of combined analyses of different DNA markers in addressing population genetics of medicinal plants because of the contrasts of inheritance and rates of gene flow. Large-scale cultivation programs should consider preserving genetic diversity to enhance the long-term sustainability of T. wilfordii and T. hypoglaucum. Our study proposed that some populations showed higher genetic diversity and distinctness, which can be considered with priority for conservation and as the sources for future breeding and genetic improvement.

Comparative analysis of codon usage bias in chloroplast genomes of ten medicinal species of Rutaceae.

Rutaceae family comprises economically important plants due to their extensive applications in spices, food, oil, medicine, etc. The Rutaceae plants is able to better utilization through biotechnology. Modern biotechnological approaches primarily rely on the heterologous expression of functional proteins in different vectors. However, several proteins are difficult to express outside their native environment. The expression potential of functional genes in heterologous systems can be maximized by replacing the rare synonymous codons in the vector with preferred optimal codons of functional genes. Codon usage bias plays a critical role in biogenetic engineering-based research and development. In the current study, 727 coding sequences (CDSs) obtained from the chloroplast genomes of ten Rutaceae plant family members were analyzed for codon usage bias. The nucleotide composition analysis of codons showed that these codons were rich in A/T(U) bases and preferred A/T(U) endings. Analyses of neutrality plots, effective number of codons (ENC) plots, and correlations between ENC and codon adaptation index (CAI) were conducted, which revealed that natural selection is a major driving force for the Rutaceae plant family's codon usage bias, followed by base mutation. In the ENC vs. CAI plot, codon usage bias in the Rutaceae family had a negligible relationship with gene expression level. For each sample, we screened 12 codons as preferred and high-frequency codons simultaneously, of which GCU encoding Ala, UUA encoding Leu, and AGA encoding Arg were the most preferred codons. Taken together, our study unraveled the synonymous codon usage pattern in the Rutaceae family, providing valuable information for the genetic engineering of Rutaceae plant species in the future.

Identification of candidate genes and residues for improving nitrogen use efficiency in the N-sensitive medicinal plant Panax notoginseng.

BACKGROUND: Nitrogen (N) metabolism-related key genes and conserved amino acid sites in key enzymes play a crucial role in improving N use efficiency (NUE) under N stress. However, it is not clearly known about the molecular mechanism of N deficiency-induced improvement of NUE in the N-sensitive rhizomatous medicinal plant Panax notoginseng (Burk.) F. H. Chen. To explore the potential regulatory mechanism, the transcriptome and proteome were analyzed and the three-dimensional (3D) information and molecular docking models of key genes were compared in the roots of P. notoginseng grown under N regimes. RESULTS: Total N uptake and the proportion of N distribution to roots were significantly reduced, but the NUE, N use efficiency in biomass production (NUEb), the recovery of N fertilizer (RNF) and the proportion of N distribution to shoot were increased in the N0-treated (without N addition) plants. The expression of N uptake- and transport-related genes NPF1.2, NRT2.4, NPF8.1, NPF4.6, AVP, proteins AMT and NRT2 were obviously up-regulated in the N0-grown plants. Meanwhile, the expression of CIPK23, PLC2, NLP6, TCP20, and BT1 related to the nitrate signal-sensing and transduction were up-regulated under the N0 condition. Glutamine synthetase (GS) activity was decreased in the N-deficient plants, while the activity of glutamate dehydrogenase (GDH) increased. The expression of genes GS1-1 and GDH1, and proteins GDH1 and GDH2 were up-regulated in the N0-grown plants, there was a significantly positive correlation between the expression of protein GDH1 and of gene GDH1. Glu192, Glu199 and Glu400 in PnGS1 and PnGDH1were the key amino acid residues that affect the NUE and lead to the differences in GDH enzyme activity. The 3D structure, docking model, and residues of Solanum tuberosum and P. notoginseng was similar. CONCLUSIONS: N deficiency might promote the expression of key genes for N uptake (genes NPF8.1, NPF4.6, AMT, AVP and NRT2), transport (NPF1.2 and NRT2.4), assimilation (proteins GS1 and GDH1), signaling and transduction (genes CIPK23, PLC2, NLP6, TCP20, and BT1) to enhance NUE in the rhizomatous species. N deficiency might induce Glu192, Glu199 and Glu400 to improve the biological activity of GS1 and GDH, this has been hypothesized to be the main reason for the enhanced ability of N assimilation in N-deficient rhizomatous species. The key genes and residues involved in improving NUE provide excellent candidates for the breeding of medicinal plants.

Integrated phenotypic, transcriptomics and metabolomics: growth status and metabolite accumulation pattern of medicinal materials at different harvest periods of Astragalus Membranaceus Mongholicus.

BACKGROUND: Astragalus membranaceus var. mongholicus (Astragalus), acknowledged as a pivotal "One Root of Medicine and Food", boasts dual applications in both culinary and medicinal domains. The growth and metabolite accumulation of medicinal roots during the harvest period is intricately regulated by a transcriptional regulatory network. One key challenge is to accurately pinpoint the harvest date during the transition from conventional yield content of medicinal materials to high and to identify the core regulators governing such a critical transition. To solve this problem, we performed a correlation analysis of phenotypic, transcriptome, and metabolome dynamics during the harvesting of Astragalus roots. RESULTS: First, our analysis identified stage-specific expression patterns for a significant proportion of the Astragalus root genes and unraveled the chronology of events that happen at the early and later stages of root harvest. Then, the results showed that different root developmental stages can be depicted by co-expressed genes of Astragalus. Moreover, we identified the key components and transcriptional regulation processes that determine root development during harvest. Furthermore, through correlating phenotypes, transcriptomes, and metabolomes at different harvesting periods, period D (Nov.6) was identified as the critical period of yield and flavonoid content increase, which is consistent with morphological and metabolic changes. In particular, we identified a flavonoid biosynthesis metabolite, isoliquiritigenin, as a core regulator of the synthesis of associated secondary metabolites in Astragalus. Further analyses and experiments showed that HMGCR, 4CL, CHS, and SQLE, along with its associated differentially expressed genes, induced conversion of metabolism processes, including the biosynthesis of isoflavones and triterpenoid saponins substances, thus leading to the transition to higher medicinal materials yield and active ingredient content. CONCLUSIONS: The findings of this work will clarify the differences in the biosynthetic mechanism of astragaloside IV and calycosin 7-O-ß-D-glucopyranoside accumulation between the four harvesting periods, which will guide the harvesting and production of Astragalus.

A generalist regulator: MYB transcription factors regulate the biosynthesis of active compounds in medicinal plants.

Medicinal plants are rich in a variety of secondary metabolites with therapeutic value. However, the yields of these metabolites are generally very low, making their extraction both time-consuming and labour-intensive. Transcription factor-targeted secondary metabolic engineering can efficiently regulate the biosynthesis and accumulation of secondary metabolites in medicinal plants. v-Myb avian myeloblastosis viral oncogene homolog (MYB) transcription factors are involved in regulating various morphological and developmental processes, responses to stress, and the biosynthesis of secondary metabolites in plants. This review discusses the biological functions and transcription regulation mechanisms of MYB transcription factors and summarizes research progress concerning MYB transcription factors involved in the biosynthesis of representative active components. In the transcriptional regulatory network, MYB transcription factors regulate multiple synthase genes to mediate the biosynthesis of active compounds. This work will serve as a reference for an in-depth analysis of the MYB transcription factor family in medicinal plants.

Insights into the Differences in Polysaccharide and Alkaloid Biosynthesis in the Medicinal Orchids Dendrobium nobile and D. officinale.

Both Dendrobium nobile and D. officinale are widely used medicinal plants in China and their major medicinal components are alkaloids and polysaccharides, respectively. It is still unclear why these two closely related orchids synthesize and accumulate different chemical components. Here, we investigated the molecular mechanisms underlying polysaccharide and alkaloid biosynthesis in D. nobile and D. officinale through transcriptome and metabolomic analysis at different growth stages. A total of 1267 metabolites were identified in the juvenile and mature stages of the two species. D. nobile accumulated a large number of alkaloids, benzenoids/phenylpropanoids, flavonoids, and terpenoids during the transition from juvenile to mature plants. In contrast, D. officinale accumulated a small number of those metabolites and an absence of flavonoids. The correlation analysis of polysaccharide contents with the differentially expressed genes suggested that the differential expression of GH1, GH3, and GH9 might be related to the difference in polysaccharide contents between the two Dendrobium species. Meanwhile, the difference in the biosynthesis of dendrobine, the main component of alkaloids in D. nobile, was involved in the differential expression of HMGCR, DXR, DXS, ISPH and eight CYP450s. These findings provided new insights into understanding the biosynthetic mechanisms of the main medicinal components in Dendrobium species.

Molecular authentication of commercial "Qian-hu" through the integration of nrDNA internal transcribed spacer 2 and nucleotide signature.

BACKGROUND: Peucedani Radix, also known as "Qian-hu" is a traditional Chinese medicine derived from Peucedanum praeruptorum Dunn. It is widely utilized for treating wind-heat colds and coughs accompanied by excessive phlegm. However, due to morphological similarities, limited resources, and heightened market demand, numerous substitutes and adulterants of Peucedani Radix have emerged within the herbal medicine market. Moreover, Peucedani Radix is typically dried and sliced for sale, rendering traditional identification methods challenging. MATERIALS AND METHODS: We initially examined and compared 104 commercial "Qian-hu" samples from various Chinese medicinal markets and 44 species representing genuine, adulterants or substitutes, utilizing the mini barcode ITS2 region to elucidate the botanical origins of the commercial "Qian-hu". The nucleotide signature specific to Peucedani Radix was subsequently developed by analyzing the polymorphic sites within the aligned ITS2 sequences. RESULTS: The results demonstrated a success rate of 100% and 93.3% for DNA extraction and PCR amplification, respectively. Forty-five samples were authentic "Qian-hu", while the remaining samples were all adulterants, originating from nine distinct species. Peucedani Radix, its substitutes, and adulterants were successfully identified based on the neighbor-joining tree. The 24-bp nucleotide signature (5'-ATTGTCGTACGAATCCTCGTCGTC-3') revealed distinct differences between Peucedani Radix and its common substitutes and adulterants. The newly designed specific primers (PR-F/PR-R) can amplify the nucleotide signature region from commercial samples and processed materials with severe DNA degradation. CONCLUSIONS: We advocate for the utilization of ITS2 and nucleotide signature for the rapid and precise identification of herbal medicines and their adulterants to regulate the Chinese herbal medicine industry.

Transcriptome-wide identification of ARF gene family in medicinal plant Polygonatum kingianum and expression analysis of PkARF members in different tissues.

BACKGROUND: Polygonatum kingianum holds significant importance in Traditional Chinese Medicine due to its medicinal properties, characterized by its diverse chemical constituents including polysaccharides, terpenoids, flavonoids, phenols, and phenylpropanoids. The Auxin Response Factor (ARF) is a pivotal transcription factor known for its regulatory role in both primary and secondary metabolite synthesis. However, our understanding of the ARF gene family in P. kingianum remains limited. METHODS AND RESULTS: We employed RNA-Seq to sequence three distinct tissues (leaf, root, and stem) of P. kingianum. The analysis revealed a total of 31,558 differentially expressed genes (DEGs), with 43 species of transcription factors annotated among them. Analyses via gene ontology and the Kyoto Encyclopedia of Genes and Genomes demonstrated that these DEGs were predominantly enriched in metabolic pathways and secondary metabolite biosynthesis. The proposed temporal expression analysis categorized the DEGs into nine clusters, suggesting the same expression trends that may be coordinated in multiple biological processes across the three tissues. Additionally, we conducted screening and expression pattern analysis of the ARF gene family, identifying 12 significantly expressed PkARF genes in P. kingianum roots. This discovery lays the groundwork for investigations into the role of PkARF genes in root growth, development, and secondary metabolism regulation. CONCLUSION: The obtained data and insights serve as a focal point for further research studies, centred on genetic manipulation of growth and secondary metabolism in P. kingianum. Furthermore, these findings contribute to the understanding of functional genomics in P. kingianum, offering valuable genetic resources.

Transcriptome sequencing of medical herb Salvia Rosmarinus (Rosemary) revealed the phenylpropanoid biosynthesis pathway genes and their phylogenetic relationships.

BACKGROUND: The Salvia rosmarinus spenn. (rosemary) is considered an economically important ornamental and medicinal plant and is widely utilized in culinary and for treating several diseases. However, the procedure behind synthesizing secondary metabolites-based bioactive compounds at the molecular level in S. rosmarinus is not explored completely. METHODS AND RESULTS: We performed transcriptomic sequencing of the pooled sample from leaf and stem tissues on the Illumina HiSeqTM X10 platform. The transcriptomics analysis led to the generation of 29,523,608 raw reads, followed by data pre-processing which generated 23,208,592 clean reads, and de novo assembly of S. rosmarinus obtained 166,849 unigenes. Among them, nearly 75.1% of unigenes i.e., 28,757 were interpreted against a non-redundant protein database. The gene ontology-based annotation classified them into 3 main categories and 55 sub-categories, and clusters of orthologous genes annotation categorized them into 23 functional categories. The Kyoto Encyclopedia of Genes and Genomes database-based pathway analysis confirmed the involvement of 13,402 unigenes in 183 biochemical pathways, among these unigenes, 1,186 are involved in the 17 secondary metabolite production pathways. Several key enzymes involved in producing aromatic amino acids and phenylpropanoids were identified from the transcriptome database. Among the identified 48 families of transcription factors from coding unigenes, bHLH, MYB, WRKYs, NAC, C2H2, C3H, and ERF are involved in flavonoids and other secondary metabolites biosynthesis. CONCLUSION: The phylogenetic analysis revealed the evolutionary relationship between the phenylpropanoid pathway genes of rosemary with other members of Lamiaceae. Our work reveals a new molecular mechanism behind the biosynthesis of phenylpropanoids and their regulation in rosemary plants.

DNA barcoding of herbal supplements on the US commercial market associated with the purported treatment of COVID-19.

INTRODUCTION: The COVID-19 pandemic was associated with an increased global use of traditional medicines, including Ayurvedic herbal preparations. Due to their growing demand, their processed nature, and the complexity of the global supply chain, there is an increased risk of adulteration in these products. OBJECTIVES: The objective of this study was to assess the use of DNA barcoding for species identification in herbal supplements on the US market associated with the Ayurvedic treatment of respiratory symptoms. METHODS: A total of 54 commercial products containing Ayurvedic herbs were tested with four DNA barcoding regions (i.e., rbcL, matK, ITS2, and mini-ITS2) using two composite samples per product. Nine categories of herbs were targeted: amla, ashwagandha, cinnamon, ginger, guduchi, tribulus, tulsi, turmeric, and vacha. RESULTS: At least one species was identified in 64.8% of products and the expected species was detected in 38.9% of products. Undeclared plant species, including other Ayurvedic herbs, rice, and pepper, were detected in 19 products, and fungal species were identified in 12 products. The presence of undeclared plant species may be a result of intentional substitution or contamination during harvest or processing, while fungal DNA was likely associated with the plant material or the growing environment. The greatest sequencing success (42.6-46.3%) was obtained with the matK and rbcL primers. CONCLUSION: The results of this study indicate that a combination of genetic loci should be used for DNA barcoding of herbal supplements. Due to the limitations of DNA barcoding in identification of these products, future research should incorporate chemical characterization techniques.

Deciphering the Plastome and Molecular Identities of Six Medicinal "Doukou" Species.

The genus Amomum includes over 111 species, 6 of which are widely utilized as medicinal plants and have already undergone taxonomic revision. Due to their morphological similarities, the presence of counterfeit and substandard products remains a challenge. Accurate plant identification is, therefore, essential to address these issues. This study utilized 11 newly sequenced samples and extensive NCBI data to perform molecular identification of the six medicinal "Doukou" species. The plastomes of these species exhibited a typical quadripartite structure with a conserved gene content. However, independent variation shifts of the SC/IR boundaries existed between and within species. The comprehensive set of genetic sequences, including ITS, ITS1, ITS2, complete plastomes, matK, rbcL, psbA-trnH, and ycf1, showed varying discrimination of the six "Doukou" species based on both distance and phylogenetic tree methods. Among these, the ITS, ITS1, and complete plastome sequences demonstrated the highest identification success rate (3/6), followed by ycf1 (2/6), and then ITS2, matK, and psbA-trnH (1/6). In contrast, rbcL failed to identify any species. This research established a basis for a reliable molecular identification method for medicinal "Doukou" plants to protect wild plant resources, promote the sustainable use of medicinal plants, and restrict the exploitation of these resources.