Analysis of fungal diversity on the surface of Armeniacae Semen Amarum using a DNA metabarcoding technique / 药学学报

Medicinal and edible Armeniacae Semen Amarum (ASA) is susceptible to fungal contamination because it is rich in oil and other nutrients. In this study, the fungal community diversity in ASA samples was analyzed based on a DNA metabarcoding technique to provide evidence for its safe use. Twelve batches of ASA samples samples from four medicinal material markets and three processing approaches were collected. Total DNA was extracted, the ITS2 sequences were amplified, and high-throughput sequencing was performed using the Illumina MiSeq PE300 platform. The results show that Ascomycota was the most dominant fungus in ASA samples. The predominant genus in sample SW1_P was Diutina, whereas the most predominant genus in the other samples was Aspergillus. Three harmful fungi were identified, namely, Aspergillus flavus, Wallemia sebi, and Rhizopus arrhizus. In addition, significant differences were observed in the relative abundance of Botryosphaeriales and Alternaria in ASA samples from different collection sites. Meanwhile, there were significant differences in the relative abundance of Hypocreales and Cladosporium in ASA samples from different processing approaches. In summary, the DNA metabarcoding technique can effectively clarify the fungal community diversity and quickly detect potential toxigenic fungi in ASA samples, thus providing a warning for mycotoxin contamination.

Advances in identification of traditional Chinese medicinal materials seeds using DNA barcoding technology / 中草药

Seeds are the source of the Chinese medicine industry. The accurate identification of seeds is not only related to the genuineness of Chinese medicinal materials, but also related to the safety and effectiveness of traditional Chinese medicine. Since a large proportion of Chinese medicinal material seeds are small in size, rich in inclusions, and their morphological characters are easy to be changed by the grade of maturity and environmental conditions, it is difficult to identify seeds through traditional methods. DNA barcoding is a novel genetic method designed for accurate species identification using a standard DNA locus, and it has gradually become a research hotspot for the seed authentication of Chinese medicinal materials. In this paper, we briefly summarized the recent research developments of the DNA barcoding identification for Chinese medicinal material seeds, demonstrate the technical characteristics of using DNA barcoding to authenticate the seeds of Chinese medicinal materials, and pointed out that different protocols should be employed according to the types of seeds. We further proposed a research method for the identification of commercially available Chinese medicinal materials seed mixtures using the DNA metabarcoding, which provides new ideas for the identification of Chinese medicinal material seeds.

Application of DNA metabarcoding technology in identification of Chinese patent medicines / 中国中药杂志

Metabarcoding technology is a research method derived from the combination of traditional DNA barcodes and highthroughput sequencing technologies. It can quickly,easily and efficiently identify and restore biological samples from multiple species.Biological species are currently widely used in environmental biology research. In the market of traditional Chinese medicines,adulteration and quality instability have severely restricted the sustainable development of the related industries. This article introduced the background of the metabarcoding technology and its preliminary application in the identification of Chinese patent medicines. It also outlined the possible problems in the research process and prospected to the development of the DNA metabarcoding technology.

Application of DNA metabarcoding in species identification of Chinese herbal medicines / 中国中药杂志

DNA metabarcoding,one rapid and robust method using specific standard DNA fragments,has been widely used for rapid species identification of a bulk sample through high-throughput sequencing technologies.While it has been widely used in the studies of metagenomics,animal and plant biodiversity,it has gradually come to be used as a profitable method in species identification of mixed Chinese herbal medicines.In this paper,we mainly summarize the current studies of the application of DNA metabarcoding in species identification of mixed Chinese herbal medicines.Moreover,high-throughput sequencing technologies adopted in those studies,such as Sanger,the next-generation,and third-generation sequencing technologies,are discussed.It is conducted to provide a theoretical guidance for the application of DNA metabarcoding in species identification of mixed Chinese herbal medicines and in more other biodiversity studies.

Biomonitoring for traditional herbal medicinal products using DNA metabarcoding and single molecule, real-time sequencing

Global concerns have been paid to the potential hazard of traditional herbal medicinal products (THMPs). Substandard and counterfeit THMPs, including traditional Chinese patent medicine, health foods, dietary supplements, etc. are potential threats to public health. Recent marketplace studies using DNA barcoding have determined that the current quality control methods are not sufficient for ensuring the presence of authentic herbal ingredients and detection of contaminants/adulterants. An efficient biomonitoring method for THMPs is of great needed. Herein, metabarcoding and single-molecule, real-time (SMRT) sequencing were used to detect the multiple ingredients in Jiuwei Qianghuo Wan (JWQHW), a classical herbal prescription widely used in China for the last 800 years. Reference experimental mixtures and commercial JWQHW products from the marketplace were used to confirm the method. Successful SMRT sequencing results recovered 5416 and 4342 circular-consensus sequencing (CCS) reads belonging to the ITS2 and regions. The results suggest that with the combination of metabarcoding and SMRT sequencing, it is repeatable, reliable, and sensitive enough to detect species in the THMPs, and the error in SMRT sequencing did not affect the ability to identify multiple prescribed species and several adulterants/contaminants. It has the potential for becoming a valuable tool for the biomonitoring of multi-ingredient THMPs.