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.
Similar content being viewed by others
References
Sim, A. Y. L., Minary, P., & Levitt, M. (2012). Modeling nucleic acids. Current Opinion in Structural Biology, 22(3), 273–278.
Dawson, W. K., Maciejczyk, M., Jankowska, E. J., et al. (2016). Coarse-grained modeling of RNA 3D structure. Methods, 103, 138–156.
Kmiecik, S., Gront, D., Kolinski, M., et al. (2016). Coarse-grained protein models and their applications. Chemical Reviews, 116, 7898–7936.
Wong, K. C. (2016). Computational biology and bioinformatics: Gene regulation. Boca Raton: CRC Press.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
Corresponding author
Rights and permissions
About this article
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
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-018-5463-5