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A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses

High throughput screening approaches can significantly speed up the identification of novel enzymes from natural microbial consortiums. A two-step high throughput screening process was proposed and explored to screen lignin-degrading microorganisms. By employing this modified culture enrichment meth...

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Autores principales: Ali, Nadia Sufdar, Huang, Fang, Qin, Wensheng, Yang, Trent Chunzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423689/
https://www.ncbi.nlm.nih.gov/pubmed/37583477
http://dx.doi.org/10.1016/j.btre.2023.e00809
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author Ali, Nadia Sufdar
Huang, Fang
Qin, Wensheng
Yang, Trent Chunzhong
author_facet Ali, Nadia Sufdar
Huang, Fang
Qin, Wensheng
Yang, Trent Chunzhong
author_sort Ali, Nadia Sufdar
collection PubMed
description High throughput screening approaches can significantly speed up the identification of novel enzymes from natural microbial consortiums. A two-step high throughput screening process was proposed and explored to screen lignin-degrading microorganisms. By employing this modified culture enrichment method and screening based on enzyme activity, a total of 82 bacterial and 46 fungal strains were isolated from fifty decayed wood samples (100 liquid cultures) collected from the banks of the Ottawa River in Canada. Among them, ten bacterial and five fungal strains were selected and identified based on their high laccase activities by 16S rDNA and ITS gene sequencing, respectively. The study identified bacterial strains from various genera including Serratia, Enterobacter, Raoultella, and Bacillus, along with fungal counterparts including Mucor, Trametes, Conifera and Aspergillus. Moreover, Aspergillus sydowii (AORF21), Mucor sp. (AORF43), Trametes versicolor (AORF3) and Enterobacter sp. (AORB55) exhibited xylanase and β- glucanase activities in addition to laccase production. The proposed approach allowed for the quick identification of promising consortia and enhanced the chance of isolating desired strains based on desired enzyme activities. This method is not limited to lignocellulose and lignin-degrading microorganisms but can be applied to identify novel microbial strains and enzymes from different natural samples.
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spelling pubmed-104236892023-08-15 A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses Ali, Nadia Sufdar Huang, Fang Qin, Wensheng Yang, Trent Chunzhong Biotechnol Rep (Amst) Research Article High throughput screening approaches can significantly speed up the identification of novel enzymes from natural microbial consortiums. A two-step high throughput screening process was proposed and explored to screen lignin-degrading microorganisms. By employing this modified culture enrichment method and screening based on enzyme activity, a total of 82 bacterial and 46 fungal strains were isolated from fifty decayed wood samples (100 liquid cultures) collected from the banks of the Ottawa River in Canada. Among them, ten bacterial and five fungal strains were selected and identified based on their high laccase activities by 16S rDNA and ITS gene sequencing, respectively. The study identified bacterial strains from various genera including Serratia, Enterobacter, Raoultella, and Bacillus, along with fungal counterparts including Mucor, Trametes, Conifera and Aspergillus. Moreover, Aspergillus sydowii (AORF21), Mucor sp. (AORF43), Trametes versicolor (AORF3) and Enterobacter sp. (AORB55) exhibited xylanase and β- glucanase activities in addition to laccase production. The proposed approach allowed for the quick identification of promising consortia and enhanced the chance of isolating desired strains based on desired enzyme activities. This method is not limited to lignocellulose and lignin-degrading microorganisms but can be applied to identify novel microbial strains and enzymes from different natural samples. Elsevier 2023-07-28 /pmc/articles/PMC10423689/ /pubmed/37583477 http://dx.doi.org/10.1016/j.btre.2023.e00809 Text en © 2023 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ali, Nadia Sufdar
Huang, Fang
Qin, Wensheng
Yang, Trent Chunzhong
A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses
title A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses
title_full A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses
title_fullStr A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses
title_full_unstemmed A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses
title_short A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses
title_sort high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423689/
https://www.ncbi.nlm.nih.gov/pubmed/37583477
http://dx.doi.org/10.1016/j.btre.2023.e00809
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