Shotgun metagenomic profiles have a high capacity to discriminate samples of activated sludge according to wastewater type
This study was conducted to investigate whether functions encoded in the metagenome could improve our ability to understand the link between microbial community structures and functions in activated sludge. By analyzing data sets from six industrial and six municipal wastewater treatment plants (WWT...
Autores principales: | , , |
---|---|
Publicado: |
2016
|
Materias: | |
Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00992240_v82_n17_p5186_Ibarbalz http://hdl.handle.net/20.500.12110/paper_00992240_v82_n17_p5186_Ibarbalz |
Aporte de: |
id |
paper:paper_00992240_v82_n17_p5186_Ibarbalz |
---|---|
record_format |
dspace |
spelling |
paper:paper_00992240_v82_n17_p5186_Ibarbalz2023-06-08T15:10:09Z Shotgun metagenomic profiles have a high capacity to discriminate samples of activated sludge according to wastewater type Ibarbalz, Federico Matías Figuerola, Eva Lucía Margarita Erijman, Leonardo Activated sludge process Industrial plants Industrial water treatment Microorganisms Nucleotides Environmental conditions Environmental difference Microbial communities Microbial community structures Municipal wastewater treatment plants Nucleotide composition Operational conditions Wastewater treatment system Wastewater treatment abundance activated sludge community structure data set genomics microbial community taxonomy wastewater sewage waste water bacterium bioremediation chemistry classification genetics isolation and purification metabolism metagenome metagenomics microbiology phylogeny procedures sewage waste water Bacteria Biodegradation, Environmental Metagenome Metagenomics Phylogeny Sewage Waste Water This study was conducted to investigate whether functions encoded in the metagenome could improve our ability to understand the link between microbial community structures and functions in activated sludge. By analyzing data sets from six industrial and six municipal wastewater treatment plants (WWTPs), covering different configurations, operational conditions, and geographic regions, we found that wastewater influent composition was an overriding factor shaping the metagenomic composition of the activated sludge samples. Community GC content profiles were conserved within treatment plants on a time scale of years and between treatment plants with similar influent wastewater types. Interestingly, GC contents of the represented phyla covaried with the average GC contents of the corresponding WWTP metagenome. This suggests that the factors influencing nucleotide composition act similarly across taxa and thus the variation in nucleotide contents is driven by environmental differences between WWTPs. While taxonomic richness and functional richness were correlated, shotgun metagenomics complemented taxon-based analyses in the task of classifying microbial communities involved in wastewater treatment systems. The observed taxonomic dissimilarity between full-scale WWTPs receiving influent types with varied compositions, as well as the inferred taxonomic and functional assignment of recovered genomes from each metagenome, were consistent with underlying differences in the abundance of distinctive sets of functional categories. These conclusions were robust with respect to plant configuration, operational and environmental conditions, and even differences in laboratory protocols. © 2016, American Society for Microbiology. Fil:Ibarbalz, F.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Figuerola, E.L.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Erijman, L. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00992240_v82_n17_p5186_Ibarbalz http://hdl.handle.net/20.500.12110/paper_00992240_v82_n17_p5186_Ibarbalz |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Activated sludge process Industrial plants Industrial water treatment Microorganisms Nucleotides Environmental conditions Environmental difference Microbial communities Microbial community structures Municipal wastewater treatment plants Nucleotide composition Operational conditions Wastewater treatment system Wastewater treatment abundance activated sludge community structure data set genomics microbial community taxonomy wastewater sewage waste water bacterium bioremediation chemistry classification genetics isolation and purification metabolism metagenome metagenomics microbiology phylogeny procedures sewage waste water Bacteria Biodegradation, Environmental Metagenome Metagenomics Phylogeny Sewage Waste Water |
spellingShingle |
Activated sludge process Industrial plants Industrial water treatment Microorganisms Nucleotides Environmental conditions Environmental difference Microbial communities Microbial community structures Municipal wastewater treatment plants Nucleotide composition Operational conditions Wastewater treatment system Wastewater treatment abundance activated sludge community structure data set genomics microbial community taxonomy wastewater sewage waste water bacterium bioremediation chemistry classification genetics isolation and purification metabolism metagenome metagenomics microbiology phylogeny procedures sewage waste water Bacteria Biodegradation, Environmental Metagenome Metagenomics Phylogeny Sewage Waste Water Ibarbalz, Federico Matías Figuerola, Eva Lucía Margarita Erijman, Leonardo Shotgun metagenomic profiles have a high capacity to discriminate samples of activated sludge according to wastewater type |
topic_facet |
Activated sludge process Industrial plants Industrial water treatment Microorganisms Nucleotides Environmental conditions Environmental difference Microbial communities Microbial community structures Municipal wastewater treatment plants Nucleotide composition Operational conditions Wastewater treatment system Wastewater treatment abundance activated sludge community structure data set genomics microbial community taxonomy wastewater sewage waste water bacterium bioremediation chemistry classification genetics isolation and purification metabolism metagenome metagenomics microbiology phylogeny procedures sewage waste water Bacteria Biodegradation, Environmental Metagenome Metagenomics Phylogeny Sewage Waste Water |
description |
This study was conducted to investigate whether functions encoded in the metagenome could improve our ability to understand the link between microbial community structures and functions in activated sludge. By analyzing data sets from six industrial and six municipal wastewater treatment plants (WWTPs), covering different configurations, operational conditions, and geographic regions, we found that wastewater influent composition was an overriding factor shaping the metagenomic composition of the activated sludge samples. Community GC content profiles were conserved within treatment plants on a time scale of years and between treatment plants with similar influent wastewater types. Interestingly, GC contents of the represented phyla covaried with the average GC contents of the corresponding WWTP metagenome. This suggests that the factors influencing nucleotide composition act similarly across taxa and thus the variation in nucleotide contents is driven by environmental differences between WWTPs. While taxonomic richness and functional richness were correlated, shotgun metagenomics complemented taxon-based analyses in the task of classifying microbial communities involved in wastewater treatment systems. The observed taxonomic dissimilarity between full-scale WWTPs receiving influent types with varied compositions, as well as the inferred taxonomic and functional assignment of recovered genomes from each metagenome, were consistent with underlying differences in the abundance of distinctive sets of functional categories. These conclusions were robust with respect to plant configuration, operational and environmental conditions, and even differences in laboratory protocols. © 2016, American Society for Microbiology. |
author |
Ibarbalz, Federico Matías Figuerola, Eva Lucía Margarita Erijman, Leonardo |
author_facet |
Ibarbalz, Federico Matías Figuerola, Eva Lucía Margarita Erijman, Leonardo |
author_sort |
Ibarbalz, Federico Matías |
title |
Shotgun metagenomic profiles have a high capacity to discriminate samples of activated sludge according to wastewater type |
title_short |
Shotgun metagenomic profiles have a high capacity to discriminate samples of activated sludge according to wastewater type |
title_full |
Shotgun metagenomic profiles have a high capacity to discriminate samples of activated sludge according to wastewater type |
title_fullStr |
Shotgun metagenomic profiles have a high capacity to discriminate samples of activated sludge according to wastewater type |
title_full_unstemmed |
Shotgun metagenomic profiles have a high capacity to discriminate samples of activated sludge according to wastewater type |
title_sort |
shotgun metagenomic profiles have a high capacity to discriminate samples of activated sludge according to wastewater type |
publishDate |
2016 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00992240_v82_n17_p5186_Ibarbalz http://hdl.handle.net/20.500.12110/paper_00992240_v82_n17_p5186_Ibarbalz |
work_keys_str_mv |
AT ibarbalzfedericomatias shotgunmetagenomicprofileshaveahighcapacitytodiscriminatesamplesofactivatedsludgeaccordingtowastewatertype AT figuerolaevaluciamargarita shotgunmetagenomicprofileshaveahighcapacitytodiscriminatesamplesofactivatedsludgeaccordingtowastewatertype AT erijmanleonardo shotgunmetagenomicprofileshaveahighcapacitytodiscriminatesamplesofactivatedsludgeaccordingtowastewatertype |
_version_ |
1768543603013976064 |