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Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production
The microbial diversity in anaerobic digestion (AD) is important because it affects process robustness. High-throughput sequencing offers high-resolution data regarding the microbial diversity and robustness of biological systems including AD; however, to understand the dynamics of microbial process...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226781/ https://www.ncbi.nlm.nih.gov/pubmed/34071282 http://dx.doi.org/10.3390/microorganisms9061162 |
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author | Hashemi, Seyedbehnam Hashemi, Sayed Ebrahim Lien, Kristian M. Lamb, Jacob J. |
author_facet | Hashemi, Seyedbehnam Hashemi, Sayed Ebrahim Lien, Kristian M. Lamb, Jacob J. |
author_sort | Hashemi, Seyedbehnam |
collection | PubMed |
description | The microbial diversity in anaerobic digestion (AD) is important because it affects process robustness. High-throughput sequencing offers high-resolution data regarding the microbial diversity and robustness of biological systems including AD; however, to understand the dynamics of microbial processes, knowing the microbial diversity is not adequate alone. Advanced meta-omic techniques have been established to determine the activity and interactions among organisms in biological processes like AD. Results of these methods can be used to identify biomarkers for AD states. This can aid a better understanding of system dynamics and be applied to producing comprehensive models for AD. The paper provides valuable knowledge regarding the possibility of integration of molecular methods in AD. Although meta-genomic methods are not suitable for on-line use due to long operating time and high costs, they provide extensive insight into the microbial phylogeny in AD. Meta-proteomics can also be explored in the demonstration projects for failure prediction. However, for these methods to be fully realised in AD, a biomarker database needs to be developed. |
format | Online Article Text |
id | pubmed-8226781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82267812021-06-26 Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production Hashemi, Seyedbehnam Hashemi, Sayed Ebrahim Lien, Kristian M. Lamb, Jacob J. Microorganisms Review The microbial diversity in anaerobic digestion (AD) is important because it affects process robustness. High-throughput sequencing offers high-resolution data regarding the microbial diversity and robustness of biological systems including AD; however, to understand the dynamics of microbial processes, knowing the microbial diversity is not adequate alone. Advanced meta-omic techniques have been established to determine the activity and interactions among organisms in biological processes like AD. Results of these methods can be used to identify biomarkers for AD states. This can aid a better understanding of system dynamics and be applied to producing comprehensive models for AD. The paper provides valuable knowledge regarding the possibility of integration of molecular methods in AD. Although meta-genomic methods are not suitable for on-line use due to long operating time and high costs, they provide extensive insight into the microbial phylogeny in AD. Meta-proteomics can also be explored in the demonstration projects for failure prediction. However, for these methods to be fully realised in AD, a biomarker database needs to be developed. MDPI 2021-05-28 /pmc/articles/PMC8226781/ /pubmed/34071282 http://dx.doi.org/10.3390/microorganisms9061162 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Hashemi, Seyedbehnam Hashemi, Sayed Ebrahim Lien, Kristian M. Lamb, Jacob J. Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production |
title | Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production |
title_full | Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production |
title_fullStr | Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production |
title_full_unstemmed | Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production |
title_short | Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production |
title_sort | molecular microbial community analysis as an analysis tool for optimal biogas production |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226781/ https://www.ncbi.nlm.nih.gov/pubmed/34071282 http://dx.doi.org/10.3390/microorganisms9061162 |
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