The genus Sanguisorba, which contains about 30 species around the world and seven species in China, is the source of the medicinal plant Sanguisorba officinalis, which is commonly used as a hemostatic agent as well as to treat burns and scalds. Here we report the complete chloroplast (cp) genome sequences of four Sanguisorba species (S. officinalis, S. filiformis, S. stipulata, and S. tenuifolia var. alba). These four Sanguisorba cp genomes exhibit typical quadripartite and circular structures, and are 154,282 to 155,479 bp in length, consisting of large single-copy regions (LSC; 84,405–85,557 bp), small single-copy regions (SSC; 18,550–18,768 bp), and a pair of inverted repeats (IRs; 25,576–25,615 bp). The average GC content was ~37.24%. The four Sanguisorba cp genomes harbored 112 different genes arranged in the same order; these identical sections include 78 protein-coding genes, 30 tRNA genes, and four rRNA genes, if duplicated genes in IR regions are counted only once. A total of 39–53 long repeats and 79–91 simple sequence repeats (SSRs) were identified in the four Sanguisorba cp genomes, which provides opportunities for future studies of the population genetics of Sanguisorba medicinal plants. A phylogenetic analysis using the maximum parsimony (MP) method strongly supports a close relationship between S. officinalis and S. tenuifolia var. alba, followed by S. stipulata, and finally S. filiformis. The availability of these cp genomes provides valuable genetic information for future studies of Sanguisorba identification and provides insights into the evolution of the genus Sanguisorba.

Artemisinin, which has been isolated from Artemisia annua L., is the most effective antimalarial drug and has saved millions of lives. In addition, artemisinin and its derivatives have anti-tumor, anti-parasitic, anti-fibrosis, and anti-arrhythmic properties, which enhances the demand for these compounds. Improving the content of artemisinin in A. annua is therefore becoming an increasing research interest, as the chemical synthesis of this metabolite is not viable. Ultraviolet B and C irradiation have been reported to improve the artemisinin content in A. annua, but they are harmful to plant growth and development. Therefore, we screened other light sources to examine if they could promote artemisinin content without affecting plant growth and development. We found that red and blue light could enhance artemisinin accumulation by promoting the expression of the genes that were involved in artemisinin biosynthesis, such as amorpha-4,11-diene synthase (ADS) and cytochrome P450 monooxygenase (CYP71AV1) genes. Thus, in addition to being the main light sources for photosynthesis, red and blue light play a key role in plant secondary metabolism, and optimizing the combination of these light might allow for the productionof artemisinin-rich A. annua.

Traditional herbal medicines adulterated and contaminated with plant materials from the Aristolochiaceae family, which contain aristolochic acids (AAs), cause aristolochic acid nephropathy. Approximately 256 traditional Chinese patent medicines, containing Aristolochiaceous materials, are still being sold in Chinese markets today. In order to protect consumers from health risks due to AAs, the hidden assassins, efficient methods to differentiate Aristolochiaceous herbs from their putative substitutes need to be established. In this study, 158 Aristolochiaceous samples representing 46 species and four genera as well as 131 non-Aristolochiaceous samples representing 33 species, 20 genera and 12 families were analyzed using DNA barcodes based on the ITS2 and psbA-trnH sequences. Aristolochiaceous materials and their non-Aristolochiaceous substitutes were successfully identified using BLAST1, the nearest distance method and the neighbor-joining (NJ) tree. In addition, based on sequence information of ITS2, we developed a Real-Time PCR assay which successfully identified herbal material from the Aristolochiaceae family. Using Ultra High Performance Liquid Chromatography-Mass Spectrometer (UHPLC-HR-MS), we demonstrated that most representatives from the Aristolochiaceae family contain toxic AAs. Therefore, integrated DNA barcodes, Real-Time PCR assays using TaqMan probes and UHPLC-HR-MS system provides an efficient and reliable authentication system to protect consumers from health risks due to the hidden assassins (AAs).

Artemisia Linn. is a large genus within the family Asteraceae that includes several important medicinal plants. Because of their similar morphology and chemical composition, traditional identification methods often fail to distinguish them. Therefore, developing an effective identification method for Artemisia species is an urgent requirement. In this study, we analyzed 15 chloroplast (cp) genomes, including 12 newly sequenced genomes, from 5 Artemisia species. The cp genomes from the five Artemisia species had a typical quadripartite structure and were highly conserved across species. They had varying lengths of 151,132–151,178 bp, and their gene content and codon preferences were similar. Mutation hotspot analysis identified four highly variable regions, which can potentially be used as molecular markers to identify Artemisia species. Phylogenetic analysis showed that the five Artemisia species investigated in this study were sister branches to each other, and individuals of each species formed a monophyletic clade. This study shows that the cp genome can provide distinguishing features to help identify closely related Artemisia species and has the potential to serve as a universal super barcode for plant identification.

Mu-tong (Akebiae Caulis) is a traditional Chinese medicine commonly used as a diuretic and antiphlogistic. A common adulterant of Mu-tong is Guan-mu-tong (Aristolochiae Manshuriensis Caulis), which is derived from the stem of Aristolochia manshuriensis Komarov, and contains carcinogenic aristolochic acids. We used an alternative technique, loop-mediated isothermal amplification (LAMP), to differentiate Mu-tong from Guan-mu-tong because LAMP is quick, highly sensitive, and specific. We designed a set of four common primers (G-F3, G-B3, G-FIP, G-BIP) and a loop primer (G-LB) for LAMP based on the internal transcribed spacer 2 (ITS2) sequence of Ar. manshuriensis. We successfully amplified the LAMP assays and visual detection occurred within 60 min at isothermal conditions of 65℃. The LAMP reaction exhibited a tenfold increase in detection (4.22 pg/μl DNA) over conventional PCR demonstrating that LAMP is a useful technique to detect Guan-mu-tong. We conclude that the LAMP technique is a potentially valuable safety control method for simple and efficient discrimination of Mu-tong from its adulterant Guan-mu-tong.

DNA barcoding has been used for decades, although it has mostly been applied to some single-species. Traditional Chinese medicine (TCM), which is mainly used in the form of combination-one type of the multi-species, identification is crucial for clinical usage. Next-generation Sequencing (NGS) has been used to address this authentication issue for the past few years, but conventional NGS technology is hampered in application due to its short sequencing reads and systematic errors. Here, a novel method, Full-length multi-barcoding (FLMB) via long-read sequencing, is employed for the identification of biological compositions in herbal compound formulas in adequate and well controlled studies. By directly sequencing the full-length amplicons of ITS2 and psbA-trnH through single-molecule real-time (SMRT) technology, the biological composition of a classical prescription Sheng-Mai-San (SMS) was analyzed. At the same time, clone-dependent Sanger sequencing was carried out as a parallel control. Further, another formula—Sanwei-Jili-San (SJS)—was analyzed with genes of ITS2 and CO1. All the ingredients in the samples of SMS and SJS were successfully authenticated at the species level, and 11 exogenous species were also checked, some of which were considered as common contaminations in these products. Methodology analysis demonstrated that this method was sensitive, accurate and reliable. FLMB, a superior but feasible approach for the identification of biological complex mixture, was established and elucidated, which shows perfect interpretation for DNA barcoding that could lead its application in multi-species mixtures.