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Structure-based prediction of protein–protein interactions between GhWlim5 Domain1 and GhACTIN-1 proteins: a practical evidence with improved fibre strength
- Source :
- Journal of Plant Biochemistry and Biotechnology. 30:373-386
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Cotton fibre quality is a multigenic trait. Genetic modification of different genes to achieve high quality fibre is difficult without knowing the mechanism lying behind genes interaction. Based on background knowledge an attempt to explore the potential structural interactions between Gossypium hirsutum Wlim5 domain1 and Gossypium hirsutum ACTIN-1 proteins was done in current study. Sequence features of the LIM domain1 of GhWlim5 protein were identified through multiple sequence alignment analysis, and a phylogenetic tree was built to identify evolutionary relationships between sequences. Conservation indicated the evolutionary importance of side chain residues and the presence of several aliphatic and/or bulky residues, which stabilize the protein core and facilitate packing of zinc fingers. The structures of GhWlim5 domain1 and GhACTIN-1 proteins were modelled and validated through computational methods. Validation of GhACTIN-1 and GhWlim5 domain1 structures indicated good structural quality with 99.7% and 100% of the favoured number of residues in allowed regions and Z-score, within the ranges of − 9.87 and − 4.17, respectively. Docking analysis indicated various possible modes of interaction between these two proteins with favourable binding affinities. Based on our strong binding interaction results between GhWlim5 domain1 and GhACTIN-1 proteins, we further investigated the role of over-expression of GhWlim5 by transformation in cotton plants under fibre specific promoter and transgenic plants displayed significant increases in fibre strength.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Zinc finger
Cotton fibre
Multiple sequence alignment
Phylogenetic tree
Plant Science
Computational biology
Biology
01 natural sciences
Protein–protein interaction
03 medical and health sciences
030104 developmental biology
Docking (molecular)
Structure based
Agronomy and Crop Science
Gene
010606 plant biology & botany
Biotechnology
Subjects
Details
- ISSN :
- 09741275 and 09717811
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Journal of Plant Biochemistry and Biotechnology
- Accession number :
- edsair.doi...........359b6df06b103ee0ed38f0821c8c9791
- Full Text :
- https://doi.org/10.1007/s13562-020-00603-7