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Genome-based engineering of ligninolytic enzymes in fungi

BACKGROUND: Many fungi grow as saprobic organisms and obtain nutrients from a wide range of dead organic materials. Among saprobes, fungal species that grow on wood or in polluted environments have evolved prolific mechanisms for the production of degrading compounds, such as ligninolytic enzymes. T...

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Autores principales: Asemoloye, Michael Dare, Marchisio, Mario Andrea, Gupta, Vijai Kumar, Pecoraro, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819241/
https://www.ncbi.nlm.nih.gov/pubmed/33478513
http://dx.doi.org/10.1186/s12934-021-01510-9
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author Asemoloye, Michael Dare
Marchisio, Mario Andrea
Gupta, Vijai Kumar
Pecoraro, Lorenzo
author_facet Asemoloye, Michael Dare
Marchisio, Mario Andrea
Gupta, Vijai Kumar
Pecoraro, Lorenzo
author_sort Asemoloye, Michael Dare
collection PubMed
description BACKGROUND: Many fungi grow as saprobic organisms and obtain nutrients from a wide range of dead organic materials. Among saprobes, fungal species that grow on wood or in polluted environments have evolved prolific mechanisms for the production of degrading compounds, such as ligninolytic enzymes. These enzymes include arrays of intense redox-potential oxidoreductase, such as laccase, catalase, and peroxidases. The ability to produce ligninolytic enzymes makes a variety of fungal species suitable for application in many industries, including the production of biofuels and antibiotics, bioremediation, and biomedical application as biosensors. However, fungal ligninolytic enzymes are produced naturally in small quantities that may not meet the industrial or market demands. Over the last decade, combined synthetic biology and computational designs have yielded significant results in enhancing the synthesis of natural compounds in fungi. MAIN BODY OF THE ABSTRACT: In this review, we gave insights into different protein engineering methods, including rational, semi-rational, and directed evolution approaches that have been employed to enhance the production of some important ligninolytic enzymes in fungi. We described the role of metabolic pathway engineering to optimize the synthesis of chemical compounds of interest in various fields. We highlighted synthetic biology novel techniques for biosynthetic gene cluster (BGC) activation in fungo and heterologous reconstruction of BGC in microbial cells. We also discussed in detail some recombinant ligninolytic enzymes that have been successfully enhanced and expressed in different heterologous hosts. Finally, we described recent advance in CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-Cas (CRISPR associated) protein systems as the most promising biotechnology for large-scale production of ligninolytic enzymes. SHORT CONCLUSION: Aggregation, expression, and regulation of ligninolytic enzymes in fungi require very complex procedures with many interfering factors. Synthetic and computational biology strategies, as explained in this review, are powerful tools that can be combined to solve these puzzles. These integrated strategies can lead to the production of enzymes with special abilities, such as wide substrate specifications, thermo-stability, tolerance to long time storage, and stability in different substrate conditions, such as pH and nutrients.
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spelling pubmed-78192412021-01-22 Genome-based engineering of ligninolytic enzymes in fungi Asemoloye, Michael Dare Marchisio, Mario Andrea Gupta, Vijai Kumar Pecoraro, Lorenzo Microb Cell Fact Review BACKGROUND: Many fungi grow as saprobic organisms and obtain nutrients from a wide range of dead organic materials. Among saprobes, fungal species that grow on wood or in polluted environments have evolved prolific mechanisms for the production of degrading compounds, such as ligninolytic enzymes. These enzymes include arrays of intense redox-potential oxidoreductase, such as laccase, catalase, and peroxidases. The ability to produce ligninolytic enzymes makes a variety of fungal species suitable for application in many industries, including the production of biofuels and antibiotics, bioremediation, and biomedical application as biosensors. However, fungal ligninolytic enzymes are produced naturally in small quantities that may not meet the industrial or market demands. Over the last decade, combined synthetic biology and computational designs have yielded significant results in enhancing the synthesis of natural compounds in fungi. MAIN BODY OF THE ABSTRACT: In this review, we gave insights into different protein engineering methods, including rational, semi-rational, and directed evolution approaches that have been employed to enhance the production of some important ligninolytic enzymes in fungi. We described the role of metabolic pathway engineering to optimize the synthesis of chemical compounds of interest in various fields. We highlighted synthetic biology novel techniques for biosynthetic gene cluster (BGC) activation in fungo and heterologous reconstruction of BGC in microbial cells. We also discussed in detail some recombinant ligninolytic enzymes that have been successfully enhanced and expressed in different heterologous hosts. Finally, we described recent advance in CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-Cas (CRISPR associated) protein systems as the most promising biotechnology for large-scale production of ligninolytic enzymes. SHORT CONCLUSION: Aggregation, expression, and regulation of ligninolytic enzymes in fungi require very complex procedures with many interfering factors. Synthetic and computational biology strategies, as explained in this review, are powerful tools that can be combined to solve these puzzles. These integrated strategies can lead to the production of enzymes with special abilities, such as wide substrate specifications, thermo-stability, tolerance to long time storage, and stability in different substrate conditions, such as pH and nutrients. BioMed Central 2021-01-21 /pmc/articles/PMC7819241/ /pubmed/33478513 http://dx.doi.org/10.1186/s12934-021-01510-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Asemoloye, Michael Dare
Marchisio, Mario Andrea
Gupta, Vijai Kumar
Pecoraro, Lorenzo
Genome-based engineering of ligninolytic enzymes in fungi
title Genome-based engineering of ligninolytic enzymes in fungi
title_full Genome-based engineering of ligninolytic enzymes in fungi
title_fullStr Genome-based engineering of ligninolytic enzymes in fungi
title_full_unstemmed Genome-based engineering of ligninolytic enzymes in fungi
title_short Genome-based engineering of ligninolytic enzymes in fungi
title_sort genome-based engineering of ligninolytic enzymes in fungi
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7819241/
https://www.ncbi.nlm.nih.gov/pubmed/33478513
http://dx.doi.org/10.1186/s12934-021-01510-9
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