Cargando…

Bacterial Community Diversity of Oil-Contaminated Soils Assessed by High Throughput Sequencing of 16S rRNA Genes

Soil bacteria play a major role in ecological and biodegradable function processes in oil-contaminated soils. Here, we assessed the bacterial diversity and changes therein in oil-contaminated soils exposed to different periods of oil pollution using 454 pyrosequencing of 16S rRNA genes. No less than...

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Mu, Zi, Xiaoxue, Wang, Qiuyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626951/
https://www.ncbi.nlm.nih.gov/pubmed/26404329
http://dx.doi.org/10.3390/ijerph121012002
_version_ 1782398189374013440
author Peng, Mu
Zi, Xiaoxue
Wang, Qiuyu
author_facet Peng, Mu
Zi, Xiaoxue
Wang, Qiuyu
author_sort Peng, Mu
collection PubMed
description Soil bacteria play a major role in ecological and biodegradable function processes in oil-contaminated soils. Here, we assessed the bacterial diversity and changes therein in oil-contaminated soils exposed to different periods of oil pollution using 454 pyrosequencing of 16S rRNA genes. No less than 24,953 valid reads and 6246 operational taxonomic units (OTUs) were obtained from all five studied samples. OTU richness was relatively higher in contaminated soils than clean samples. Acidobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, Planctomycetes and Proteobacteria were the dominant phyla among all the soil samples. The heatmap plot depicted the relative percentage of each bacterial family within each sample and clustered five samples into two groups. For the samples, bacteria in the soils varied at different periods of oil exposure. The oil pollution exerted strong selective pressure to propagate many potentially petroleum degrading bacteria. Redundancy analysis (RDA) indicated that organic matter was the highest determinant factor for explaining the variations in community compositions. This suggests that compared to clean soils, oil-polluted soils support more diverse bacterial communities and soil bacterial community shifts were mainly controlled by organic matter and exposure time. These results provide some useful information for bioremediation of petroleum contaminated soil in the future.
format Online
Article
Text
id pubmed-4626951
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-46269512015-11-12 Bacterial Community Diversity of Oil-Contaminated Soils Assessed by High Throughput Sequencing of 16S rRNA Genes Peng, Mu Zi, Xiaoxue Wang, Qiuyu Int J Environ Res Public Health Article Soil bacteria play a major role in ecological and biodegradable function processes in oil-contaminated soils. Here, we assessed the bacterial diversity and changes therein in oil-contaminated soils exposed to different periods of oil pollution using 454 pyrosequencing of 16S rRNA genes. No less than 24,953 valid reads and 6246 operational taxonomic units (OTUs) were obtained from all five studied samples. OTU richness was relatively higher in contaminated soils than clean samples. Acidobacteria, Actinobacteria, Bacteroidetes, Chloroflexi, Planctomycetes and Proteobacteria were the dominant phyla among all the soil samples. The heatmap plot depicted the relative percentage of each bacterial family within each sample and clustered five samples into two groups. For the samples, bacteria in the soils varied at different periods of oil exposure. The oil pollution exerted strong selective pressure to propagate many potentially petroleum degrading bacteria. Redundancy analysis (RDA) indicated that organic matter was the highest determinant factor for explaining the variations in community compositions. This suggests that compared to clean soils, oil-polluted soils support more diverse bacterial communities and soil bacterial community shifts were mainly controlled by organic matter and exposure time. These results provide some useful information for bioremediation of petroleum contaminated soil in the future. MDPI 2015-09-24 2015-10 /pmc/articles/PMC4626951/ /pubmed/26404329 http://dx.doi.org/10.3390/ijerph121012002 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peng, Mu
Zi, Xiaoxue
Wang, Qiuyu
Bacterial Community Diversity of Oil-Contaminated Soils Assessed by High Throughput Sequencing of 16S rRNA Genes
title Bacterial Community Diversity of Oil-Contaminated Soils Assessed by High Throughput Sequencing of 16S rRNA Genes
title_full Bacterial Community Diversity of Oil-Contaminated Soils Assessed by High Throughput Sequencing of 16S rRNA Genes
title_fullStr Bacterial Community Diversity of Oil-Contaminated Soils Assessed by High Throughput Sequencing of 16S rRNA Genes
title_full_unstemmed Bacterial Community Diversity of Oil-Contaminated Soils Assessed by High Throughput Sequencing of 16S rRNA Genes
title_short Bacterial Community Diversity of Oil-Contaminated Soils Assessed by High Throughput Sequencing of 16S rRNA Genes
title_sort bacterial community diversity of oil-contaminated soils assessed by high throughput sequencing of 16s rrna genes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626951/
https://www.ncbi.nlm.nih.gov/pubmed/26404329
http://dx.doi.org/10.3390/ijerph121012002
work_keys_str_mv AT pengmu bacterialcommunitydiversityofoilcontaminatedsoilsassessedbyhighthroughputsequencingof16srrnagenes
AT zixiaoxue bacterialcommunitydiversityofoilcontaminatedsoilsassessedbyhighthroughputsequencingof16srrnagenes
AT wangqiuyu bacterialcommunitydiversityofoilcontaminatedsoilsassessedbyhighthroughputsequencingof16srrnagenes