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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10423689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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