Molecular identification of Uncaria (Gouteng) through DNA barcoding

Medicinal Value, Genetic Diversity, and Genetic Relationship Analysis of Auricularia cornea (Agaricomycetes) Based on ITS, ISSR, and SRAP Markers

Wild resources of Auricularia cornea (A. polytricha) are abundant in China, and genetic diversity and genetic relationships analysis of A. cornea can provide basis for germplasm resource utilization and innovation and molecular marker-assisted breeding. In this study, 22 Auricularia strains collected were identified as A. cornea based on ITS sequence analysis, and its genetic diversity was examined by ISSR and SRAP markers. The results showed that a total of 415 bands were amplified by 11 selected ISSR primers, with an average amplification of 37.73 bands per primer, and the mean values of Ne, I, and H were 1.302, 0.368, and 0.219, respectively. A total of 450 bands were amplified by 10 SRAP primers, with an average of 45 bands per primer, and the average of Ne, I, and H were 1.263, 0.302, and 0.183, respectively. The unweighted pair-group method with arithmetic means analysis based on ISSR-SRAP marker data revealed that the genetic similarity coefficient between the tested strains was 0.73-0.97, and the strains could be divided into five groups at 0.742, which had a certain correlation with regional distribution. The results of PCOA and population structure analysis based on ISSR-SRAP data also produced similar results. These results demonstrate the genetic diversity and distinctness among wild A. cornea and provide a theoretical reference for the classification, breeding, germplasm innovation, utilization, and variety protection of A. cornea resources.

Comparative and phylogenetic analysis of the complete chloroplast genomes of Uncaria (Rubiaceae) species

The genus Uncaria is famous for its high medicinal value. However, the high morphological similarities and unclear interspecific genetic relationships have posed challenges to the classification and identification of Uncaria species. Here, we newly sequenced six chloroplast genomes of Uncaria species: U. hirsuta, U. rhynchophylla, U. rhynchophylloides, U. homomalla, U. sinensis, and U. lancifolia. Comparisons among the chloroplast genomes of Uncaria species showed their conservation in structure, gene content, and order. Ten highly variable loci could be potentially used as specific molecular markers in the identification of Uncaria species. The third position of codons tended to use A/U base, and natural selection contributed more to the formation of codon usage bias in comparison to mutation pressure. Four genes (rbcL, ndhF, rps8, and ycf2) were detected to be subjected to positive selection. Phylogenetic analysis showed that the genus Uncaria was a monophyletic group, belonging to the tribe Naucleeae. Moreover, U. sinensis was not a variant of U. rhynchophylla. U. rhynchophylloides and U. rhynchophylla were not the same species. The results of the comparative and phylogenetic analysis provide valuable references for further research studies of classification, identification, breeding improvement, and phylogenetic relationships in Uncaria species.

Chloroplast genome characterization of Uncaria guianensis and Uncaria tomentosa and evolutive dynamics of the Cinchonoideae subfamily

Uncaria species are used in traditional medicine and are considered of high therapeutic value and economic importance. This work describes the assembly and annotation of the chloroplast genomes of U. guianensis and U. tomentosa, as well as a comparative analysis. The genomes were sequenced on MiSeq Illumina, assembled with NovoPlasty, and annotated using CHLOROBOX GeSeq. Addictionaly, comparative analysis were performed with six species from NCBI databases and primers were designed in Primer3 for hypervariable regions based on the consensus sequence of 16 species of the Rubiaceae family and validated on an in-silico PCR in OpenPrimeR. The genome size of U. guianensis and U. tomentosa was 155,505 bp and 156,390 bp, respectively. Both Species have 131 genes and GC content of 37.50%. The regions rpl32-ccsA, ycf1, and ndhF-ccsA showed the three highest values of nucleotide diversity within the species of the Rubiaceae family and within the Uncaria genus, these regions were trnH-psbA, psbM-trnY, and rps16-psbK. Our results indicates that the primer of the region ndhA had an amplification success for all species tested and can be promising for usage in the Rubiaceae family. The phylogenetic analysis recovered a congruent topology to APG IV. The gene content and the chloroplast genome structure of the analyzed species are conserved and most of the genes are under negative selection. We provide the cpDNA of Neotropical Uncaria species, an important genomic resource for evolutionary studies of the group.

Inhibitory Activity of 8 Alkaloids on P-gp and Their Distribution in Chinese Uncaria Species

P-glycoprotein (P-gp) inhibition conduces to improving the ability of chemicals to cross through blood-brain barrier (BBB). The hook-bearing branch of Uncaria is used as a traditional herbal medicine for the treatment of hypertension, headache, stroke, and Alzheimer’s disease in recent years. In this study, the inhibitory effects of 8 alkaloids sourced from Uncaria plants on P-gp were evaluated. Meanwhile, the content of 8 alkaloids in 8 Chinese Uncaria species was quantified simultaneously by high-performance liquid chromatography analysis. Western blotting, real-time quantitative reverse transcription-polymerase chain reaction, and flow cytometry were used to evaluate the P-gp levels in MCF-7/adriamycin-resistant (ADR) cells. It was shown that hirsuteine and hirsutine, selected from 8 candidate alkaloids, could remarkably suppressed P-gp level and function in MCF-7/ADR cells when using Verapamil as positive control. By tracking their chemical distribution in 8 Chinese Uncaria species, we found that hirsuteine and hirsutine were much more abundant in Uncaria rhynchophylla and Uncaria hirsuta than in any other 6 species. And a chemical content profile of these alkaloids was plotted within 8 Chinese species.

Quality standard of traditional Chinese medicines: comparison between European Pharmacopoeia and Chinese Pharmacopoeia and recent advances

Traditional Chinese medicine (TCM) are becoming more and more popular all over the world. However, quality issues of TCM may lead to medical incidents in practice and therefore quality control is essential to TCM. In this review, the state of TCM in European Pharmacopoeia are compared with that in Chinese Pharmacopoeia, and herbal drugs that are not considered as TCM and not elaborated by TCM working party at European Directorate for the Quality of Medicines & Health Care (EDQM) but present in both European Pharmacopoeia and Chinese Pharmacopoeias are also discussed. Different aspects in quality control of TCM including origins, identification, tests and assays, as well as sample preparation, marker selection and TCM processing are covered to address the importance of establishing comprehensive quality standard of TCM. Furthermore, advanced analytical techniques for quality control and standard establishment of TCM are also reviewed.

Phylogenetic analysis of Uncaria species based on internal transcribed spacer (ITS) region and ITS2 secondary structure

CONTEXT

The plant genus Uncaria (Rubiaceae), also known as Gouteng, is the source of an important traditional Chinese medicine. Misidentification and adulteration of Gouteng affect the safety and efficacy of the medication. Phylogenetic relationships among the species of this genus are unknown.

OBJECTIVE

The present study sought to detect the phylogenetic relationships based on internal transcribed spacer (ITS) region of all 12 species of Uncaria recorded in the Flora of China.

MATERIALS AND METHODS

Accession of seven species of Uncaria served as reference samples. ITS region was used for polymerase chain reaction (PCR) amplification of the reference samples representing 39 specimens. Distance analysis, species discrimination, and secondary structure of ITS2 were used to assess the ability of ITS sequence in authenticating. The phylogenetic relationships were detected using three methods: Bayesian inference (BI), maximum likelihood (ML), and neighbor joining (NJ).

RESULTS

Five species of traditional Chinese medicine Gouteng were well resolved in molecular phylogenetic tree. Besides, Uncaria lancifolia Hutch. was closer to U. rhynchophylloides F.C. How and U. sessilifructus Roxb. was closer to U. laevigata Wall. within the tree. Further, we also found that ITS2 secondary structure can be a candidate tool in distinguishing two closely related species U. yunnanensis K.C.Hsia and U. lanosa Wall. For accurate identification of different species of Uncaria based on species-specific nucleotide sites, a consensus sequences database with all 12 species is established.

DISCUSSIONS AND CONCLUSIONS

The results are able to discriminate Uncaria species and illustrate the phylogenetic relationships, which are essential for the investigation of adulterants and misidentifications of Uncaria.

DNA barcoding for the efficient and accurate identification of medicinal polygonati rhizoma in China

Polygonati rhizoma (PR), a traditional medicinal and edible product with various bioactive components (Polygonatum polysaccharides, saponins, phenols, and flavonoids), is widely consumed in China. However, other species with morphological characteristics similar to those of the actual components are being used to replace or adulterate PR, causing issues with quality control and product safety. The morphological similarity of PR and its substitutes makes classic morphological identification challenging. To address this issue, DNA barcoding-based identification using ITS2 and psbA-trnH sequences was applied in this study to evaluate the efficiency and accuracy of this approach in identifying PR samples collected from 39 different regions in China. The identification of PR by this method was confirmed by other methods (phylogeny-based and character-based methods), and all the samples were clearly and accurately distinguished. This study highlights the efficient and accurate nature of DNA barcoding in PR identification. Applying this technique will provide a means to differentiate PR from other altered formulations, thus improving product quality and safety for consumers of PR and its products.

Assessment of three plastid DNA barcode markers for identification of Clinacanthus nutans (Acanthaceae)

This study was conducted to determine the feasibility of using three plastid DNA regions (matK, trnH-psbA, and rbcL) as DNA barcodes to identify the medicinal plant Clinacanthus nutans. In this study, C. nutans was collected at several different locations. Total genomic DNA was extracted, amplified by polymerase chain reaction (PCR), and sequenced using matK, trnH-psbA, and rbcL, primers. DNA sequences generated from PCR were submitted to the National Center for Biotechnology Information's (NCBI) GenBank. Identification of C. nutans was carried out using NCBI's Basic Local Alignment Search Tool (BLAST). The rbcL and trnH-psbA regions successfully identified C. nutans with sequencing rates of 100% through BLAST identification. Molecular Evolutionary Genetics Analysis (MEGA) 6.0 was used to analyze interspecific and intraspecific divergence of plastid DNA sequences. rbcL and matK exhibited the lowest average interspecific distance (0.0487 and 0.0963, respectively), whereas trnH-psbA exhibited the highest average interspecific distance (0.2029). The R package Spider revealed that trnH-psbA correctly identified Barcode of Life Data System (BOLD) 96%, best close match 79%, and near neighbor 100% of the species, compared to matK (BOLD 72%; best close match 64%; near neighbor 78%) and rbcL (BOLD 77%; best close match 62%; near neighbor 88%). These results indicate that trnH-psbA is very effective at identifying C. nutans, as it performed well in discriminating species in Acanthaceae.

Characteristic component profiling and identification of different Uncaria species based on high-performance liquid chromatography-photodiode array detection tandem ion trap and time of flight mass spectrometry coupled with rDNA ITS sequence

Uncaria is a multi-source herb and its species identification has become a bottleneck in quality control. To study the identification method of different Uncaria species herbs through HPLC-MS coupled with rDNA Internal Transcribed Spacer (rDNA ITS) sequence, both plant morphological traits and molecular identification were used to determine the species of every collected Uncaria herb. The genetic analysis of different Uncaria species was performed using their rDNA ITS sequence as a molecular marker. Meanwhile, the phylogenetic relationships of 22 samples from six Uncaria species were divided and classified clearly. By optimizing the chromatographic conditions, a practical HPLC method to differentiate various varieties of Uncaria herbs was set up based on a set of characteristic components across each species. A high-performance liquid chromatography-photodiode array detector tandem ion trap and time of flight mass spectrometry technique combined with reference substances was utilized to derive 21 characteristic compounds containing six groups of six Uncaria species in China. Thus, this study provides a feasible method to solve the current problem of confusion in Uncaria species, and makes a significant step forward in the appropriate clinical use, in-depth research and further utilization of different Uncaria species.

Evaluation of DNA barcodes in Codonopsis (Campanulaceae) and in some large angiosperm plant genera

DNA barcoding is expected to be one of the most promising tools in biological taxonomy. However, there have been no agreements on which core barcode should be used in plants, especially in species-rich genera with wide geographical distributions. To evaluate their discriminatory power in large genera, four of the most widely used DNA barcodes, including three plastid regions (matK, rbcL, trnH-psbA) and nuclear internal transcribed spacer (nrITS), were tested in seven species-rich genera (Ficus, Pedicularis, Rhodiola, Rhododendron,Viburnum, Dendrobium and Lysimachia) and a moderate size genus, Codonopsis. All of the sequences from the aforementioned seven large genera were downloaded from NCBI. The related barcodes for Codonopsis were newly generated in this study. Genetics distances, DNA barcoding gaps and phylogenetic trees of the four single barcodes and their combinations were calculated and compared in the seven genera. As for single barcode, nrITS has the most variable sites, the clearest intra- and inter-specific divergences and the highest discrimination rates in the seven genera. Among the combinations of barcodes, ITS+matK performed better than all the single barcodes in most cases and even the three- and four-loci combinations in the seven genera. Therefore, we recommend ITS+matK as the core barcodes for large plant genera.