Advertisement

Simulation of Differential Expression in Root, Stem and Leaf of Ornamental Cunninghamia Lanceolata Under Internet of Things Environment

Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 301)

Abstract

With the promotion of the use of ornamental Cunninghamia lanceolata (Cunninghamia lanceolata L.), the difference of root, stem and leaf specific expression was simulated under the Internet of things environment. In the process of the research, the model was established. The selective expression of genes was carried out and the score output was calculated. Based on the output probability setting of signal states and differential gene identification, the biological function analysis of peculiar genes in roots, stems and leaves of Cunninghamia lanceolata was realized. Through the experimental analysis, the validity of the simulation is proved effectively.

Keywords

Internet of things Cunninghamia lanceolata Rhizome and leaf Difference 

References

  1. 1.
    Guangxin, Yu., Shuangqing, Z., Xiuhong, Z., et al.: CDNA-SRAP analysis of differential expression in stem and leaf of Aegilops alba. J. Henan Agricultural University 51(4), 481–486 (2017)Google Scholar
  2. 2.
    Zhang, Y., Jiang, T., Ye, Y., et al.: Cloning and expression specific analysis of strawberry FaCOP1. Horticulture 44(3), 547–556 (2017)Google Scholar
  3. 3.
    Yan, S.Y., Zhang, Y., Wang, X., et al.: Design of orderly Harvester for stems and leaves vegetables based on Pro/E. Agric. Mechanization Res. 39(3), 139–143 (2017)Google Scholar
  4. 4.
    He, J., Gouis, J.L., Stratonovitch, P., et al.: Simulation of environmental and genotypic variations of final leaf number and anthesis date for wheat. Eur. J. Agron. 42(1), 22–33 (2012)CrossRefGoogle Scholar
  5. 5.
    Yan, B., Zhu, S., Su, S., et al.: Study on UPLC fingerprinting and chemical pattern recognition of stems and leaves of Scutellaria baicalensis from different areas. J. Nanjing Univ. Tradit. Chin. Med. (6), 24–26 (2017)Google Scholar
  6. 6.
    Chuang, H.S., Wang, Y., Jian, Y., et al.: Study on the finite element modeling method for sugarcane stalk-leaf system. Agric. Mechanization Res. 40(6), 19–23 (2018)Google Scholar
  7. 7.
    Le, W., Yuan, N., Zhiqiang, C., et al.: Simulation study on the dynamics of cotton leaf age. Jiangsu Agric. Sci. 46(4), 68–73 (2018)Google Scholar
  8. 8.
    Jing, D., Lu, X., Zhang, K., et al.: Analysis of SNP and allele-specific expression of Gordane hybrid and its parent transcripts. J. Crops 44(12), 71–79 (2018)Google Scholar
  9. 9.
    Hu, S., Chung, K., Yang, J., et al.: Study on the content difference of flavonoids in stems and leaves of peppermint at different harvest date. Chin. J. Tradit. Chin. Med. 3, 544–550 (2018)Google Scholar
  10. 10.
    Huan, Z., Yingjie, Y., Dingli, L., et al.: RNA-Seq analysis of the genes specifically expressed in root stem and leaf of Duli L. J. Hortic. 45(10), 18–31 (2018)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Heze UniversityHezeChina

Personalised recommendations