Nothing Special   »   [go: up one dir, main page]

Skip to main content
Log in

Analysis and Prediction of QL14h by Database Application

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In order to study the biological functions of Qulian and provide theoretical basis for studying the expression regulation of QL14h, which was screened by the bioinformatics computer software, database and online programs were used to predict and analyse the nucleotide sequence and amino acid sequence of QL14h. Results of gene structure analysis showed that its full length was 816 bp including 805 bp ORF which encoded 259 amino acids. QL14h had no signal peptide and no transmembrane domain, so it belonged to non-secretion protein; The results of the protein structure analysis showed that there were 150 α-helix, 0 β-sheet plus and 13 β-turn in QL14h; QL14h was a kind of hydrophilic protein and belonged to 14-3-3 protein family. Therefore the study showed that QL14h had biological significance, and these results could be the theoretical basis and provide evidences for further verifying the biological functions of QL14h.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Sim, A. Y. L., Minary, P., & Levitt, M. (2012). Modeling nucleic acids. Current Opinion in Structural Biology, 22(3), 273–278.

    Article  Google Scholar 

  2. Dawson, W. K., Maciejczyk, M., Jankowska, E. J., et al. (2016). Coarse-grained modeling of RNA 3D structure. Methods, 103, 138–156.

    Article  Google Scholar 

  3. Kmiecik, S., Gront, D., Kolinski, M., et al. (2016). Coarse-grained protein models and their applications. Chemical Reviews, 116, 7898–7936.

    Article  Google Scholar 

  4. Wong, K. C. (2016). Computational biology and bioinformatics: Gene regulation. Boca Raton: CRC Press.

    Book  Google Scholar 

  5. Joyce, A. P., Zhang, C., Bradley, P., et al. (2015). Structure-based modeling of protein: DNA specificity. Briefings in Functional Genomics., 14(1), 39–49.

    Article  Google Scholar 

  6. Alsterfjord, M., Sehnke, P. C., Arkell, A., et al. (2004). Plasma membrane H+-ATPase and 14-3-3 isoforms of Arabidopsis leaves: Evidence for isoform specificity in the 14-3-3/H+-ATPase interaction. Plant and Cell Physiology, 45(9), 1202–1210.

    Article  Google Scholar 

  7. Yaffe, M. B., Rittinger, K., Volinia, S., et al. (1997). The structural basis for 14-3-3: Phosphopeptide binding specificity. Cell, 91(7), 961–971.

    Article  Google Scholar 

  8. Takahashi, Y., Kinoshita, T., & Shimazaki, K. (2007). Protein phosphorylation and binding of a 14-3-3 protein in Vicia guard cells in response to ABA. Plant and Cell Physiology, 48(8), 1182–1191.

    Article  Google Scholar 

  9. Ni, D. L. (2013). Cloning and expression analysis of 14-3-3 protein genes in Cunning lanceolata (Lamb.) Hook. Fujian: Fujian Agriculture and Forestry University.

    Google Scholar 

  10. Yuan, W., Zhang, D., Song, T., et al. (2017). Arabidopsis plasma membrane H+-ATPase genesAHA2andAHA7have distinct and overlapping roles in the modulation of root tip H+ efflux in response to low-phosphorus stress. Journal of Experimental Botany, 68(7), 1731–1741.

    Article  Google Scholar 

  11. Nabbie, F., Smith, J., Hnatyshyn, S., et al. (2017). 14-3-3 lambda protein affects anthocyanin production in Arabidopsis thaliana during drought stress. Journal of Agricultural Science, 9(7), 22.

    Article  Google Scholar 

  12. Luo, J., Tang, S., Peng, X., Yan, X., Zeng, X., Li, J., et al. (2015). Elucidation of cross-talk and specificity of early response mechanisms to salt and PEG-simulated drought stresses in Brassica napus using comparative proteomic analysis. PLoS One, 10(10), e0138974.

    Article  Google Scholar 

  13. Faghani, E., Gharechahi, J., Komatsu, S., Mirzaei, M., Khavarinejad, R. A., Najafi, F., et al. (2015). Comparative physiology and proteomic analysis of two wheat genotypes contrasting in drought tolerance. Proteomics, 114, 1–15.

    Article  Google Scholar 

  14. Yang, Z., Sun, T. X., Tang, M. W., et al. (2014). Cloning and expression analysis of LcPIP cDNA from Leymus chinensis. Plant Physiology Journal, 50(10), 1585–1592.

    Google Scholar 

Download references

Acknowledgements

This work was supported by Applied Basic Research Programs of Science and Technology Commission Foundation of Yunnan Province (No. 2015FB147), National Natural Science Foundation of China (31460137, 81760694) and Yunnan Agricultural University Natural Science Foundation for Young Scientists Project (2015ZR15).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Baijuan Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, Y., Yang, Q., Li, X. et al. Analysis and Prediction of QL14h by Database Application. Wireless Pers Commun 103, 585–593 (2018). https://doi.org/10.1007/s11277-018-5463-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5463-5

Keywords

Navigation