In silico structural and functional characterization and phylogenetic study of alkaline phosphatase in bacterium, Rhizobium leguminosarum (Frank 1879).


Journal

Computational biology and chemistry
ISSN: 1476-928X
Titre abrégé: Comput Biol Chem
Pays: England
ID NLM: 101157394

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 21 05 2018
revised: 28 08 2019
accepted: 01 10 2019
pubmed: 8 11 2019
medline: 20 12 2019
entrez: 8 11 2019
Statut: ppublish

Résumé

Phosphorus is one of the primary macronutrient of plants, which is present in soil. It is essential for normal growth and development of plants. Plants use inorganic form of phosphate but organic form can also be assimilated with the help of soil inhabiting bacteria. Alkaline phosphatase is an enzyme present in Rizobium bacteria. This enzyme is responsible for solubilization and mineralization of organic phosphate and makes it readily available for plants. In the present study, nine different strains of Rhizobium leguminosarum were selected for a detailed computational structural and functional characterization and phylogenetic studies of alkaline phosphatase. Amino acid sequences were retrieved from UniProt and saved in FASTA format for use in analysis. Phylogenetic analysis of these strains was done by using MEGA7. 3D structure prediction was performed by using online server I-Tasser. Galaxy Web and 3D Refine were used for structure refinement. The refined structures were evaluated using two validation servers, QMEAN and SAVES. Protein-protein interaction analysis was done by using STRING. For detailed functional characterization, Cofactor, Coach, RaptorX, PSORT and MEME were used. Overall quality of predicted protein models was above 80%. Refined and validated models were submitted into PMDB. Seven out of nine strains were closely related and other two were distantly related. Protein-Protein interaction showed no significant co-expression among the interaction partners.

Identifiants

pubmed: 31698161
pii: S1476-9271(18)30313-X
doi: 10.1016/j.compbiolchem.2019.107142
pii:
doi:

Substances chimiques

Alkaline Phosphatase EC 3.1.3.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107142

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Qudsia Yousafi (Q)

COMSATS University Islamabad, Sahiwal campus, Pakistan instead of COMSATS Institute of Information Technology COMSATS, Institute of Information Technology GT Road COMSATS Road, 57000, Sahiwal, Pakistan. Electronic address: qudsia@ciitsahiwal.edu.pk.

Saba Kanwal (S)

COMSATS University Islamabad, Sahiwal campus, Pakistan instead of COMSATS Institute of Information Technology COMSATS, Institute of Information Technology GT Road COMSATS Road, 57000, Sahiwal, Pakistan.

Hamid Rashid (H)

COMSATS University Islamabad, Sahiwal campus, Pakistan instead of COMSATS Institute of Information Technology COMSATS, Institute of Information Technology GT Road COMSATS Road, 57000, Sahiwal, Pakistan.

Muhammad Saad Khan (MS)

COMSATS University Islamabad, Sahiwal campus, Pakistan instead of COMSATS Institute of Information Technology COMSATS, Institute of Information Technology GT Road COMSATS Road, 57000, Sahiwal, Pakistan.

Shahzad Saleem (S)

COMSATS University Islamabad, Sahiwal campus, Pakistan instead of COMSATS Institute of Information Technology COMSATS, Institute of Information Technology GT Road COMSATS Road, 57000, Sahiwal, Pakistan.

Muhammad Aslam (M)

Bahauddin Zakariya University, Multan, Pakistan.

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Classifications MeSH