Cargando…

Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research

BACKGROUND: Removal of trace organic chemicals (TOrCs) in aquatic environments has been intensively studied. Some members of natural microbial communities play a vital role in transforming chemical contaminants, however, complex microbial interactions impede us from gaining adequate understanding of...

Descripción completa

Detalles Bibliográficos
Autores principales: Cao, Lijia, Garcia, Sarahi L., Wurzbacher, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693053/
https://www.ncbi.nlm.nih.gov/pubmed/38042813
http://dx.doi.org/10.1186/s12934-023-02252-6
_version_ 1785153073826496512
author Cao, Lijia
Garcia, Sarahi L.
Wurzbacher, Christian
author_facet Cao, Lijia
Garcia, Sarahi L.
Wurzbacher, Christian
author_sort Cao, Lijia
collection PubMed
description BACKGROUND: Removal of trace organic chemicals (TOrCs) in aquatic environments has been intensively studied. Some members of natural microbial communities play a vital role in transforming chemical contaminants, however, complex microbial interactions impede us from gaining adequate understanding of TOrC biotransformation mechanisms. To simplify, in this study, we propose a strategy of establishing reduced-richness model communities capable of removing diverse TOrCs via pre-adaptation and dilution-to-extinction. RESULTS: Microbial communities were adapted from tap water, soil, sand, sediment deep and sediment surface to changing concentrations of 27 TOrCs mixture. After adaptation, the communities were further diluted to reduce diversity into 96 deep well plates for high-throughput cultivation. After characterizing microbial structure and TOrC removal performance, thirty taxonomically non-redundant model communities with different removal abilities were obtained. The pre-adaptation process was found to reduce the microbial richness but to increase the evenness and phylogenetic diversity of resulting model communities. Moreover, phylogenetic diversity showed a positive effect on the number of TOrCs that can be transformed simultaneously. Pre-adaptation also improved the overall TOrC removal rates, which was found to be positively correlated with the growth rates of model communities. CONCLUSIONS: This is the first study that investigated a wide range of TOrC biotransformation based on different model communities derived from varying natural microbial systems. This study provides a standardized workflow of establishing model communities for different metabolic purposes with changeable inoculum and substrates. The obtained model communities can be further used to find the driving agents of TOrC biotransformation at the enzyme/gene level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-023-02252-6.
format Online
Article
Text
id pubmed-10693053
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-106930532023-12-03 Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research Cao, Lijia Garcia, Sarahi L. Wurzbacher, Christian Microb Cell Fact Methodology BACKGROUND: Removal of trace organic chemicals (TOrCs) in aquatic environments has been intensively studied. Some members of natural microbial communities play a vital role in transforming chemical contaminants, however, complex microbial interactions impede us from gaining adequate understanding of TOrC biotransformation mechanisms. To simplify, in this study, we propose a strategy of establishing reduced-richness model communities capable of removing diverse TOrCs via pre-adaptation and dilution-to-extinction. RESULTS: Microbial communities were adapted from tap water, soil, sand, sediment deep and sediment surface to changing concentrations of 27 TOrCs mixture. After adaptation, the communities were further diluted to reduce diversity into 96 deep well plates for high-throughput cultivation. After characterizing microbial structure and TOrC removal performance, thirty taxonomically non-redundant model communities with different removal abilities were obtained. The pre-adaptation process was found to reduce the microbial richness but to increase the evenness and phylogenetic diversity of resulting model communities. Moreover, phylogenetic diversity showed a positive effect on the number of TOrCs that can be transformed simultaneously. Pre-adaptation also improved the overall TOrC removal rates, which was found to be positively correlated with the growth rates of model communities. CONCLUSIONS: This is the first study that investigated a wide range of TOrC biotransformation based on different model communities derived from varying natural microbial systems. This study provides a standardized workflow of establishing model communities for different metabolic purposes with changeable inoculum and substrates. The obtained model communities can be further used to find the driving agents of TOrC biotransformation at the enzyme/gene level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-023-02252-6. BioMed Central 2023-12-02 /pmc/articles/PMC10693053/ /pubmed/38042813 http://dx.doi.org/10.1186/s12934-023-02252-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Methodology
Cao, Lijia
Garcia, Sarahi L.
Wurzbacher, Christian
Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research
title Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research
title_full Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research
title_fullStr Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research
title_full_unstemmed Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research
title_short Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research
title_sort establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693053/
https://www.ncbi.nlm.nih.gov/pubmed/38042813
http://dx.doi.org/10.1186/s12934-023-02252-6
work_keys_str_mv AT caolijia establishmentofmicrobialmodelcommunitiescapableofremovingtraceorganicchemicalsforbiotransformationmechanismsresearch
AT garciasarahil establishmentofmicrobialmodelcommunitiescapableofremovingtraceorganicchemicalsforbiotransformationmechanismsresearch
AT wurzbacherchristian establishmentofmicrobialmodelcommunitiescapableofremovingtraceorganicchemicalsforbiotransformationmechanismsresearch