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Spatial distribution of prokaryotic communities in hypersaline soils
Increasing salinization in wetland systems is a major threat to ecosystem services carried out by microbial communities. Thus, it is paramount to understand how salinity drives both microbial community structures and their diversity. Here we evaluated the structure and diversity of the prokaryotic c...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370769/ https://www.ncbi.nlm.nih.gov/pubmed/30741985 http://dx.doi.org/10.1038/s41598-018-38339-z |
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author | Vera-Gargallo, Blanca Chowdhury, Taniya Roy Brown, Joseph Fansler, Sarah J. Durán-Viseras, Ana Sánchez-Porro, Cristina Bailey, Vanessa L. Jansson, Janet K. Ventosa, Antonio |
author_facet | Vera-Gargallo, Blanca Chowdhury, Taniya Roy Brown, Joseph Fansler, Sarah J. Durán-Viseras, Ana Sánchez-Porro, Cristina Bailey, Vanessa L. Jansson, Janet K. Ventosa, Antonio |
author_sort | Vera-Gargallo, Blanca |
collection | PubMed |
description | Increasing salinization in wetland systems is a major threat to ecosystem services carried out by microbial communities. Thus, it is paramount to understand how salinity drives both microbial community structures and their diversity. Here we evaluated the structure and diversity of the prokaryotic communities from a range of highly saline soils (EC(1:5) from 5.96 to 61.02 dS/m) from the Odiel Saltmarshes and determined their association with salinity and other soil physicochemical features by analyzing 16S rRNA gene amplicon data through minimum entropy decomposition (MED). We found that these soils harbored unique communities mainly composed of halophilic and halotolerant taxa from the phyla Euryarchaeota, Proteobacteria, Balneolaeota, Bacteroidetes and Rhodothermaeota. In the studied soils, several site-specific properties were correlated with community structure and individual abundances of particular sequence variants. Salinity had a secondary role in shaping prokaryotic communities in these highly saline samples since the dominant organisms residing in them were already well-adapted to a wide range of salinities. We also compared ESV-based results with OTU-clustering derived ones, showing that, in this dataset, no major differences in ecological outcomes were obtained by the employment of one or the other method. |
format | Online Article Text |
id | pubmed-6370769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63707692019-02-15 Spatial distribution of prokaryotic communities in hypersaline soils Vera-Gargallo, Blanca Chowdhury, Taniya Roy Brown, Joseph Fansler, Sarah J. Durán-Viseras, Ana Sánchez-Porro, Cristina Bailey, Vanessa L. Jansson, Janet K. Ventosa, Antonio Sci Rep Article Increasing salinization in wetland systems is a major threat to ecosystem services carried out by microbial communities. Thus, it is paramount to understand how salinity drives both microbial community structures and their diversity. Here we evaluated the structure and diversity of the prokaryotic communities from a range of highly saline soils (EC(1:5) from 5.96 to 61.02 dS/m) from the Odiel Saltmarshes and determined their association with salinity and other soil physicochemical features by analyzing 16S rRNA gene amplicon data through minimum entropy decomposition (MED). We found that these soils harbored unique communities mainly composed of halophilic and halotolerant taxa from the phyla Euryarchaeota, Proteobacteria, Balneolaeota, Bacteroidetes and Rhodothermaeota. In the studied soils, several site-specific properties were correlated with community structure and individual abundances of particular sequence variants. Salinity had a secondary role in shaping prokaryotic communities in these highly saline samples since the dominant organisms residing in them were already well-adapted to a wide range of salinities. We also compared ESV-based results with OTU-clustering derived ones, showing that, in this dataset, no major differences in ecological outcomes were obtained by the employment of one or the other method. Nature Publishing Group UK 2019-02-11 /pmc/articles/PMC6370769/ /pubmed/30741985 http://dx.doi.org/10.1038/s41598-018-38339-z Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Vera-Gargallo, Blanca Chowdhury, Taniya Roy Brown, Joseph Fansler, Sarah J. Durán-Viseras, Ana Sánchez-Porro, Cristina Bailey, Vanessa L. Jansson, Janet K. Ventosa, Antonio Spatial distribution of prokaryotic communities in hypersaline soils |
title | Spatial distribution of prokaryotic communities in hypersaline soils |
title_full | Spatial distribution of prokaryotic communities in hypersaline soils |
title_fullStr | Spatial distribution of prokaryotic communities in hypersaline soils |
title_full_unstemmed | Spatial distribution of prokaryotic communities in hypersaline soils |
title_short | Spatial distribution of prokaryotic communities in hypersaline soils |
title_sort | spatial distribution of prokaryotic communities in hypersaline soils |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370769/ https://www.ncbi.nlm.nih.gov/pubmed/30741985 http://dx.doi.org/10.1038/s41598-018-38339-z |
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