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In Silico evaluation and identification of fungi capable of producing endo-inulinase enzyme

The enzyme endo-inulinase hydrolyzes inulin to short chain fructooligosaccharides (FOS) that are potential prebiotics with many health promoting benefits. Although the raw materials for inulin production are inexpensive and readily available, commercial production of FOS from inulin is limited due t...

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Autores principales: Chikkerur, Jayaram, Samanta, Ashis Kumar, Dhali, Arindam, Kolte, Atul Purushottam, Roy, Sohini, Maria, Pratheepa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042768/
https://www.ncbi.nlm.nih.gov/pubmed/30001376
http://dx.doi.org/10.1371/journal.pone.0200607
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author Chikkerur, Jayaram
Samanta, Ashis Kumar
Dhali, Arindam
Kolte, Atul Purushottam
Roy, Sohini
Maria, Pratheepa
author_facet Chikkerur, Jayaram
Samanta, Ashis Kumar
Dhali, Arindam
Kolte, Atul Purushottam
Roy, Sohini
Maria, Pratheepa
author_sort Chikkerur, Jayaram
collection PubMed
description The enzyme endo-inulinase hydrolyzes inulin to short chain fructooligosaccharides (FOS) that are potential prebiotics with many health promoting benefits. Although the raw materials for inulin production are inexpensive and readily available, commercial production of FOS from inulin is limited due to inadequate availability of the enzyme source. This study aimed to identify the fungi capable of producing endo-inulinase based on the in silico analysis of proteins retrieved from non-redundant protein sequence database. The endo-inulinase of Aspergillus ficuum was used as reference sequence. The amino acid sequences with >90% sequence coverage, belonging to different fungi were retrieved from the database and used for constructing three-dimensional (3D) protein models using SWISS-MODEL and Bagheerath H. The 3D models of comparable quality as that of the reference endo-inulinase were selected based on QMEAN Z score. The selected models were evaluated and validated for different structural and functional qualities using Pro-Q, ProSA, PSN-QA, VERIFY-3D, PROCHECK, PROTSAV metaserver, STRAP, molecular docking, and molecular dynamic simulation analyses. A total of 230 proteins belonging to 53 fungal species exhibited sequence coverage >90%. Sixty one protein sequences with >60% sequence identity were modeled as endo-inulinase with higher QMEAN Z Score. The evaluations and validations of these 61 selected models for different structural and functional qualities revealed that 60 models belonging to 22 fungal species exhibited native like structure and unique motifs and residues as that of the reference endo-inulinase. Further, these models also exhibited similar kind of interaction between the active site around the conserved glutamate residue and substrate as that of the reference endo-inulinase. In conclusion, based on the current study, 22 fungal species could be identified as endo-inulinase producer. Nevertheless, further biological assessment of their capability for producing endo-inulinase is imminent if they are to be used for commercial endo-inulinase production for application in FOS industry.
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spelling pubmed-60427682018-07-26 In Silico evaluation and identification of fungi capable of producing endo-inulinase enzyme Chikkerur, Jayaram Samanta, Ashis Kumar Dhali, Arindam Kolte, Atul Purushottam Roy, Sohini Maria, Pratheepa PLoS One Research Article The enzyme endo-inulinase hydrolyzes inulin to short chain fructooligosaccharides (FOS) that are potential prebiotics with many health promoting benefits. Although the raw materials for inulin production are inexpensive and readily available, commercial production of FOS from inulin is limited due to inadequate availability of the enzyme source. This study aimed to identify the fungi capable of producing endo-inulinase based on the in silico analysis of proteins retrieved from non-redundant protein sequence database. The endo-inulinase of Aspergillus ficuum was used as reference sequence. The amino acid sequences with >90% sequence coverage, belonging to different fungi were retrieved from the database and used for constructing three-dimensional (3D) protein models using SWISS-MODEL and Bagheerath H. The 3D models of comparable quality as that of the reference endo-inulinase were selected based on QMEAN Z score. The selected models were evaluated and validated for different structural and functional qualities using Pro-Q, ProSA, PSN-QA, VERIFY-3D, PROCHECK, PROTSAV metaserver, STRAP, molecular docking, and molecular dynamic simulation analyses. A total of 230 proteins belonging to 53 fungal species exhibited sequence coverage >90%. Sixty one protein sequences with >60% sequence identity were modeled as endo-inulinase with higher QMEAN Z Score. The evaluations and validations of these 61 selected models for different structural and functional qualities revealed that 60 models belonging to 22 fungal species exhibited native like structure and unique motifs and residues as that of the reference endo-inulinase. Further, these models also exhibited similar kind of interaction between the active site around the conserved glutamate residue and substrate as that of the reference endo-inulinase. In conclusion, based on the current study, 22 fungal species could be identified as endo-inulinase producer. Nevertheless, further biological assessment of their capability for producing endo-inulinase is imminent if they are to be used for commercial endo-inulinase production for application in FOS industry. Public Library of Science 2018-07-12 /pmc/articles/PMC6042768/ /pubmed/30001376 http://dx.doi.org/10.1371/journal.pone.0200607 Text en © 2018 Chikkerur et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chikkerur, Jayaram
Samanta, Ashis Kumar
Dhali, Arindam
Kolte, Atul Purushottam
Roy, Sohini
Maria, Pratheepa
In Silico evaluation and identification of fungi capable of producing endo-inulinase enzyme
title In Silico evaluation and identification of fungi capable of producing endo-inulinase enzyme
title_full In Silico evaluation and identification of fungi capable of producing endo-inulinase enzyme
title_fullStr In Silico evaluation and identification of fungi capable of producing endo-inulinase enzyme
title_full_unstemmed In Silico evaluation and identification of fungi capable of producing endo-inulinase enzyme
title_short In Silico evaluation and identification of fungi capable of producing endo-inulinase enzyme
title_sort in silico evaluation and identification of fungi capable of producing endo-inulinase enzyme
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042768/
https://www.ncbi.nlm.nih.gov/pubmed/30001376
http://dx.doi.org/10.1371/journal.pone.0200607
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