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1.
China Journal of Chinese Materia Medica ; (24): 2921-2929, 2015.
Article in Chinese | WPRIM | ID: wpr-284822

ABSTRACT

Light intensity, gas temperature, soil temperature and gas exchange parameters were determined of three years old Panax notoginseng planted on different layers seedbed and different location (left, middle, right) of the same layer in greenhouse. Result show that diurnal variation of light intensity, gas temperature and soil temperature showed that upper layer > middle layer > lower layer; different locations of the same layer showed that light intensity of upper layer was not different among different locations; light intensity of middle and lower layer in right and left were the same, and significantly higher than those in the middle position; the gas temperature of each layer all with less different of each location; soil temperature of 12 cm depth is the lowest, and was gradually increased to the upper and lower surface; net photosynthetic efficiency of P. notoginseng showed that upper layer > middle layer > lower layer; there were significant correlation between soil temperature, stomatal conductance, intercellular CO2 concentration and photosynthetic rate were correlated with light intensity significantly; transpiration rates had notable correlation with light intensity and gas temperature. All above indicated that net photosynthesis rate of P. notoginseng was affected by light intensity directly, gas temperature and soil temperature indirectly. Inconclusion, stereoscopic cultivation of P. notoginseng was practicable in present study. The planting quality of P. notoginseng under stereoscopic cultivation could be improved by ameliorate the structure of seedbed to enhance the light intensity of middle and lower layer. Increase the thickness of the seedbed to decrease the temperature difference of soil. Further the management of ventilation facilities of greenhouse to control the gas temperature.


Subject(s)
Carbon Dioxide , Metabolism , Light , Panax notoginseng , Metabolism , Photosynthesis , Soil , Temperature
2.
China Journal of Chinese Materia Medica ; (24): 2055-2061, 2015.
Article in Chinese | WPRIM | ID: wpr-337983

ABSTRACT

The transcriptome represents the whole complement of RNA transcripts in cells or tissues and reflects the expressed genes at various life stages, tissue types, physiological states, and environmental conditions. Transcriptomics study concerning medicinal plants has become the most active area in medicinal plant genome research. Transcriptome analysis provides a comprehensive understanding of gene expression and its regulation. The study of its transcriptome has great significance in solving the questions of genetic evolution, genetic breeding, ecology and so on. Here we report the application status of transcriptomics in medicinal plants based on emergence, development and methodology of transcriptomics.


Subject(s)
Gene Expression Regulation, Plant , Gene Regulatory Networks , Plants, Medicinal , Genetics , Sequence Analysis, RNA , Transcriptome
3.
China Journal of Chinese Materia Medica ; (24): 2062-2067, 2015.
Article in Chinese | WPRIM | ID: wpr-337982

ABSTRACT

Twenty-three histone methyltransferase genes were obtained from transcriptome dataset of Lonicera japonica. The nucleotide and proteins characteristics, subcellular localization, senior structural domains and conservative forecasting were analyzed. The result of phylogenetic tree showed that 23 histone methyltransferases were mainly divided into two groups: lysine methyltransferase and arginine methyltransferases. The result of gene expression showed that 23 histone methyltransferases showed preference in terms of interspecies and organs. They were more expressed in buds of L. japonica than in L. japonica var. chinensis and lower in leaves of L. japonica than in L. japonica var. chinensis. Eight genes were specific expressed in flower. These results provided basis for further understanding the function of histone methyltransferase and epigenetic regulation of active ingredients of L. japonica.


Subject(s)
Computational Biology , Gene Expression , Histone-Lysine N-Methyltransferase , Genetics , Lonicera , Genetics , Phylogeny
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