Abstract
Myo-inositol hexakisphosphate phosphohydrolases (i.e., phytases) are known to be a very important enzyme responsible for solubilization of insoluble phosphates. In the present study, Enterobacter phytases have characterized by different phylogenetic, structural and functional parameters using some standard bio-computational tools. Results showed that majority of the Enterobacter phytases are acidic in nature as most of the isoelectric points were under 7.0. The aliphatic indices predicted for the selected proteins were below 40 indicating their thermostable nature. The average molecular weight of the proteins was 48 kDa. The lower values of GRAVY of the said proteins implied that they have better interactions with water. Secondary structure prediction revealed that alpha-helical content was highest among the other forms such as sheets, coils, etc. Moreover, the predicted 3D structure of Enterobacter phytases divulged that the proteins consisted of four monomeric polypeptide chains i.e., it was a tetrameric protein. The predicted tertiary model of E. aerogenes (A0A0M3HCJ2) was deposited in Protein Model Database (Acc. No.: PM0080561) for further utilization after a thorough quality check from QMEAN and SAVES server. Functional analysis supported their classification as histidine acid phosphatases. Besides, multiple sequence alignment revealed that “DG–DP–LG” was the most highly conserved residues within the Enterobacter phytases. Thus, the present study will be useful in selecting suitable phytase-producing microbe exclusively for using in the animal food industry as a food additive.
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Abbreviations
- UniProtKB:
-
The Universal Protein Knowledgebase
- MEGA:
-
Molecular evolutionary genetics analysis
- MW:
-
Molecular weight
- pI:
-
Isoelectric point
- EC:
-
Extinction coefficient
- AI:
-
Aliphatic index
- II:
-
Instability index
- GRAVY:
-
Grand average of hydropathicities
- QMEAN:
-
Qualitative Model Energy ANalysis
- SAVES:
-
The structure analysis and verification server
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The first author is thankful to Department of Science and Technology (DST), New Delhi, Government of India for awarding the INSPIRE fellowship (Reg. no.: IF150197).
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Pramanik, K., Kundu, S., Banerjee, S. et al. Computational-based structural, functional and phylogenetic analysis of Enterobacter phytases. 3 Biotech 8, 262 (2018). https://doi.org/10.1007/s13205-018-1287-y
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DOI: https://doi.org/10.1007/s13205-018-1287-y