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Microbial Community Colonization Process Unveiled through eDNA-PFU Technology in Mesocosm Ecosystems
Microbial communities are essential components of aquatic ecosystems and are widely employed for the detection, protection, and restoration of water ecosystems. The polyurethane foam unit (PFU) method, an effective and widely used environmental monitoring technique, has been improved with the eDNA-P...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10609261/ https://www.ncbi.nlm.nih.gov/pubmed/37894156 http://dx.doi.org/10.3390/microorganisms11102498 |
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author | Gu, Siyu Zhang, Peng Luo, Shuai Chen, Kai Jiang, Chuanqi Xiong, Jie Miao, Wei |
author_facet | Gu, Siyu Zhang, Peng Luo, Shuai Chen, Kai Jiang, Chuanqi Xiong, Jie Miao, Wei |
author_sort | Gu, Siyu |
collection | PubMed |
description | Microbial communities are essential components of aquatic ecosystems and are widely employed for the detection, protection, and restoration of water ecosystems. The polyurethane foam unit (PFU) method, an effective and widely used environmental monitoring technique, has been improved with the eDNA-PFU method, offering efficiency, rapidity, and standardization advantages. This research aimed to explore the colonization process of microbial communities within PFUs using eDNA-PFU technology. To achieve this, we conducted ten-day monitoring and sequencing of microbial communities within PFUs in a stable and controlled artificial aquatic ecosystem, comparing them with water environmental samples (eDNA samples). Results showed 1065 genera in eDNA-PFU and 1059 in eDNA, with eDNA-PFU detecting 99.95% of eDNA-identified species. Additionally, the diversity indices of bacteria and eukaryotes in both methods showed similar trends over time in the colonization process; however, relative abundance differed. We further analyzed the colonization dynamics of microbes in eDNA-PFU and identified four clusters with varying colonization speeds. Notably, we found differences in colonization rates between bacteria and eukaryotes. Furthermore, the Molecular Ecological Networks (MEN) showed that the network in eDNA-PFU was more modular, forming a unique microbial community differentiated from the aquatic environment. In conclusion, this study, using eDNA-PFU, comprehensively explored microbial colonization and interrelationships in a controlled mesocosm system, providing foundational data and reference standards for its application in aquatic ecosystem monitoring and beyond. |
format | Online Article Text |
id | pubmed-10609261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106092612023-10-28 Microbial Community Colonization Process Unveiled through eDNA-PFU Technology in Mesocosm Ecosystems Gu, Siyu Zhang, Peng Luo, Shuai Chen, Kai Jiang, Chuanqi Xiong, Jie Miao, Wei Microorganisms Article Microbial communities are essential components of aquatic ecosystems and are widely employed for the detection, protection, and restoration of water ecosystems. The polyurethane foam unit (PFU) method, an effective and widely used environmental monitoring technique, has been improved with the eDNA-PFU method, offering efficiency, rapidity, and standardization advantages. This research aimed to explore the colonization process of microbial communities within PFUs using eDNA-PFU technology. To achieve this, we conducted ten-day monitoring and sequencing of microbial communities within PFUs in a stable and controlled artificial aquatic ecosystem, comparing them with water environmental samples (eDNA samples). Results showed 1065 genera in eDNA-PFU and 1059 in eDNA, with eDNA-PFU detecting 99.95% of eDNA-identified species. Additionally, the diversity indices of bacteria and eukaryotes in both methods showed similar trends over time in the colonization process; however, relative abundance differed. We further analyzed the colonization dynamics of microbes in eDNA-PFU and identified four clusters with varying colonization speeds. Notably, we found differences in colonization rates between bacteria and eukaryotes. Furthermore, the Molecular Ecological Networks (MEN) showed that the network in eDNA-PFU was more modular, forming a unique microbial community differentiated from the aquatic environment. In conclusion, this study, using eDNA-PFU, comprehensively explored microbial colonization and interrelationships in a controlled mesocosm system, providing foundational data and reference standards for its application in aquatic ecosystem monitoring and beyond. MDPI 2023-10-05 /pmc/articles/PMC10609261/ /pubmed/37894156 http://dx.doi.org/10.3390/microorganisms11102498 Text en © 2023 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 | Article Gu, Siyu Zhang, Peng Luo, Shuai Chen, Kai Jiang, Chuanqi Xiong, Jie Miao, Wei Microbial Community Colonization Process Unveiled through eDNA-PFU Technology in Mesocosm Ecosystems |
title | Microbial Community Colonization Process Unveiled through eDNA-PFU Technology in Mesocosm Ecosystems |
title_full | Microbial Community Colonization Process Unveiled through eDNA-PFU Technology in Mesocosm Ecosystems |
title_fullStr | Microbial Community Colonization Process Unveiled through eDNA-PFU Technology in Mesocosm Ecosystems |
title_full_unstemmed | Microbial Community Colonization Process Unveiled through eDNA-PFU Technology in Mesocosm Ecosystems |
title_short | Microbial Community Colonization Process Unveiled through eDNA-PFU Technology in Mesocosm Ecosystems |
title_sort | microbial community colonization process unveiled through edna-pfu technology in mesocosm ecosystems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10609261/ https://www.ncbi.nlm.nih.gov/pubmed/37894156 http://dx.doi.org/10.3390/microorganisms11102498 |
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