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Digitalis purpurea (D. purpurea) is one of the most important medicinal plants and is well known in the treatment of heart failure because of the cardiac glycosides that are its main active compounds. However, in the absence of strand specific sequencing information, the post-transcriptional mechanism of gene regulation in D. purpurea thus far remains unknown. In this study, a strand-specific RNA-Seq library was constructed and sequenced using Illumina HiSeq platforms to characterize the transcriptome of D. purpurea with a focus on alternative splicing (AS) events and the effect of AS on protein domains. De novo RNA-Seq assembly resulted in 48,475 genes. Based on the assembled transcripts, we reported a list of 3,265 AS genes, including 5,408 AS events in D. purpurea. Interestingly, both glycosyltransferases and monooxygenase, which were involved in the biosynthesis of cardiac glycosides, are regulated by AS. A total of 2,422 AS events occurred in coding regions, and 959 AS events were located in the regions of 882 unique protein domains, which could affect protein function. This D. purpurea transcriptome study substantially increased the expressed sequence resource and presented a better understanding of post-transcriptional regulation to further facilitate the medicinal applications of D. purpurea for human health. [ABSTRACT FROM AUTHOR]

Remote sensing has been extensively applied in agriculture for its objectiveness and promptness. However, few applications are available for monitoring natural medicinal plants. In the paper, a multilevel monitoring system, which includes satellite and aerial remote sensing, as well as ground investigation, was initially proposed to monitor natural Rheum tanguticum resource in Baihe Pasture, Zoige County, Sichuan Province. The amount of R. tanguticum from images is M = S*ρ and S is vegetation coverage obtained by satellite imaging, whereas ρ is R. tanguticum density obtained by low-altitude imaging. Only the R. tanguticum which coverages exceeded 1 m(2) could be recognized from the remote sensing image because of the 0.1 m resolution of the remote sensing image (called effective resource at that moment), and the results of ground investigation represented the amounts of R. tanguticum resource in all sizes (called the future resource). The data in paper showed that the present available amount of R. tanguticum accounted for 4% to 5% of the total quantity. The quantity information and the population structure of R. tanguticum in the Baihe Pasture were initially confirmed by this system. It is feasible to monitor the quantitative distribution for natural medicinal plants with scattered distribution.

The quality of Chinese herbal medicine is closely related to its producing region. In order to apply mathematical models to do a quantitative study on the suitability of Chinese herbal medicine, it is necessary to study on the ecological factors and the interpolation of climatic data, which influence the Chinese herbal medicine growth. The paper firstly studied the judgment standard of ecological index from the points of ecology and statistics, and how to calculate the optimum range values and the weight of each ecological factor. Secondly, meteorological element data is essential data in analyzing the suitable region of Chinese herbal medicine, and the spatial distribution of meteorological elements is closely related to terrain environment, so, in order to make the results close to true value by the greatest degree. The paper adopted multiple linear regression interpolation method which based on DEM. The paper distinguished the factor system of suitable region and interpolation on the point of datumization, and made a study on it about some key issues.

American ginseng (Panax quinquefolius L.) has been used for a wide range of therapeutic purposes in China. The major bioactive phytochemicals responsible for this plant's pharmacological features are ginsenosides. Thus far, little is known regarding the genes involved in ginsenosides biosynthesis in this species. As a non-model plant, information about its genomes is generally not available. In this study, we generated 6678 expressed sequence tags (ESTs) from the flower, leaf and root cDNA libraries of American ginseng. Assembly of ESTs resulted in 3349 unigenes including 534 contigs (with ESTs number ranging from 2 to 52) and 2815 singletons. By analyzing the predominant transcripts within specific tissues, a gene expression pattern was obtained in a tissue-specific manner. They were assigned according to the functional classification of unigenes to broad ranges of Gene Ontology categories which include biological processes, cellular components and molecular functions. Based on blastx search results, 24 unigenes representing candidates related to ginsenosides biosynthesis were identified. Cloning and characterization of 3-hydroxy-3-methylglutaryl-coenzyme A reductase (HMGR, EC: 1.1.1.34), the rate-limiting enzyme in mevalonic acid pathway, demonstrated that it belonged to the plant HMGR family and was highly expressed in leaves. Putative transcription factors were detected in 63 unigenes, including zinc finger, WRKY, homeobox and MADS-box family proteins. Five hundred and eighty-eight simple sequence repeat motifs were identified, of which, dimer was the most abundant motif. These data will provide useful information on transcript profiles, gene discovery, transcriptional regulation, flower biogenesis and marker-assisted selections. The analysis and information from this study will greatly contribute to the improvement of this medicinal plant as well as of other species in the Araliaceae family, for the purpose of ensuring adequate drug resources.