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1.
Acta Pharmaceutica Sinica ; (12): 3313-3324, 2021.
Article in Chinese | WPRIM | ID: wpr-906824

ABSTRACT

italic>Crataegus pinnatifida is a traditional Chinese medicine, which contains organic acids, triterpenoid acids and other active components, has important medicinal and edible value. In order to study the difference of gene expression level in different developmental stages of hawthorn and explore the genes of active ingredient biosynthesis in Crataegus pinnatifida, high-throughput Illumina HiSeq 2000 technology were used to conduct transcriptome sequencing and bioinformatics analysis on Crataegus pinnatifida fruits from the same origin at different developmental stages. 78 496 Unigenes with an average length of 941 nt were obtained by Trinity software. Among them, 58 395 Unigenes can be annotated by NR, NT, Swiss prot, KEGG, COG, GO and other public databases. KEGG pathway analysis showed that 52 Unigenes encoding 15 key enzymes involved in the citric acid cycle. There are 62 Unigenes were involved in the triterpene biosynthesis pathway of Crataegus pinnatifida. Two key enzymes SQE of triterpenoid metabolism pathway in Crataegus pinnatifida were cloned and performed bioinformatic analysis. The results showed that ORF of CpSQE1 and CpSQE2 were 1 594 bp and 1 597 bp, respectively, encoding 530 and 531 amino acids. The molecular weight of proteins was 57.6 kDa and 57.5 kDa. Bioinformatics analysis showed that both CpSQE1 and CpSQE2 proteins have a PLN02985 superfamily conserved domain, belonging to the squalene monooxygenase superfamily. The phylogenetic tree shows that CpSQE1 and CpSQE2 are clustered together with SQE with squalene epoxidase function in other plants. This study provides a research basis for further exploring the key genes in the biosynthesis process of hawthorn active ingredients and analyzing the regulation pathway of its active ingredient biosynthesis.

2.
China Journal of Chinese Materia Medica ; (24): 267-271, 2021.
Article in Chinese | WPRIM | ID: wpr-878970

ABSTRACT

Polygonatum cyrtonema is a famous bulk medicinal material which is the medicinal and edible homologous. With the implementation of the traditional Chinese medicine industry to promote precise poverty alleviation, the planting area of P. cyrtonema in Jinzhai is becoming larger and larger in recent years. Jinzhai is located in the Dabie Mountainous area, which is the largest mountain area and county in Anhui Province. The cultivation of P. cyrtonema is scattered, and the traditional Chinese medicine resources investigation is not only inefficient and accurate. In this study,the "Resource 3"(ZY-3) remote sensing image was used as the best observation phase,and the method of support vector machine classification was used. The method of parallelepiped, minimum distance, mahalanob is distance, maximum likelihood classification and neural net were used to classify and recognize the P. cyrtonema in the whole region. In order to determine the accuracy and reliability of classification results, the accuracy of six supervised classification results was evaluated by confusion matrix method, and the advantages and disadvantages of six supervised classification methods for extracting P. cyrtonema field planting area were compared and analyzed. The results showed that the method of support vector machine classification was more appropriate than that using other classification methods. It provides a scientific basis for monitoring the planting area of P. cyrtonemain field.


Subject(s)
Medicine, Chinese Traditional , Polygonatum , Reproducibility of Results , Research Design , Support Vector Machine
3.
China Journal of Chinese Materia Medica ; (24): 260-266, 2021.
Article in Chinese | WPRIM | ID: wpr-878969

ABSTRACT

Dabie Mountain in Anhui province is a genuine producing area of Poria cocos, commonly known as Anling. Jinzhai county in Anhui province is a traditional producing area of P. cocos, and it is also a key county for poverty alleviation in Dabie Mountains. Poverty alleviation of traditional Chinese medicine producing area is an important measure to implement the major strategic deployment of the central government. The planting of P. cocos is helpful to promote the development of traditional Chinese medicine industry in Dabie Mountains and help poverty alleviation. P. cocos is a saprophytic fungus with special demands on soil and ecological environment, and its planting appears a scattered and irregular distribution. Traditional investigation methods are time-consuming and laborious, and the results are greatly influenced by subjective factors. In order to obtain the suitable planting area of P. cocos in Jinzhai county, according to the field survey, the research team has explored the regional, biological characteristics and cultivation methods of P. cocos in the county, and obtained the altitude distribution area suitable for the growth of P. cocos. Then, the MaxEnt niche model was used to analyze the relationship between ecological factors and distribution areas, and the potential distribution zoning of P. cocos in Jinzhai county was studied. Combined with the characteristics of P. cocos planting pattern, taking ZY-3 remote sensing image as the data source, the maximum likelihood method was used to extract the area that could be used for P. cocos cultivation in Jinzhai county, and the reason why artificial planting P. cocos was mainly distributed in the west of Jinzhai county was analyzed. The suitable regional classification of P. cocos in Jinzhai county was obtained by superposition of suitable altitude distribution area, MaxEnt analysis and area extracted from remote sensing image, which provided data support for the planting planning of P. cocos in Jinzhai county.


Subject(s)
Altitude , China , Medicine, Chinese Traditional , Soil , Wolfiporia
4.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 155-165, 2021.
Article in Chinese | WPRIM | ID: wpr-905940

ABSTRACT

Illustrated Classic of Materia Medica (Ben Cao Tu Jing), compiled in 1061, is regarded as the crystallization of the second national survey of Chinese medicinal resources in the history of China after the Newly Revised Materia Medica (Xin Xiu Ben Cao), which serves as a precious source for exploring the Chinese medicinal resources in the Song Dynasty. The Illustrated Classic of Materia Medica (Ben Cao Tu Jing) covers 50 illustrations for Chinese medicinal materials named after geographical names of Jiangsu Province, 39 of which have been verified in today's Jiangsu Province. To be specific, Chinese medicinal materials in 32 illustrations can be traced back to their species, those in four illustrations to genera, and those in three illustrations to family. The remaining 12 illustrations remain to be further verified. The origins of most Chinese medicinal materials in the illustrations can be traced, which is attributed to their exquisiteness and lifelikeness as well as the detailed descriptions of the characters of the original plants and animals. In the textual research of these illustrations, we have noticed that there are inconsistencies between pictures and texts, and different illustrations may be derived from the same origin. This is believed to be related to SU Song's principle of collation that "for all Chinese medicinal materials presented as examples, if their shapes and categories recorded are not consistent with those in the literature, they will be retained. If there is any connection with the literature, they will be annotated according to literature to make their origins clear". As revealed by the distribution of Chinese medical materials in Jiangsu Province reported in the Illustrated Classic of Materia Medica (Ben Cao Tu Jing), the utilization and development of Jiangsu medicinal materials during the Northern Song Dynasty were mainly concentrated in the low-altitude valleys and coastal areas. It could be seen from the illustrations of Chinese medicinal materials named after geographical names of today's Jiangsu Province that the production areas with a large number of illustrations were relatively developed in politics, economy, and transportation at that time, which enabled the medicinal resources to be fully utilized.

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