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

Peng M, Zi X, Wang Q - Int J Environ Res Public Health (2015)

Bottom Line: The heatmap plot depicted the relative percentage of each bacterial family within each sample and clustered five samples into two groups.Redundancy analysis (RDA) indicated that organic matter was the highest determinant factor for explaining the variations in community compositions.These results provide some useful information for bioremediation of petroleum contaminated soil in the future.

View Article: PubMed Central - PubMed

Affiliation: College of Life Science, Northeast Forestry University, No.26 Hexing Street, Xiangfang District, Harbin 150040, China. huangxiaoming321@sina.com.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Redundancy analysis (RDA) of the relationship between the soil physicochemical parameters and the relative abundance of bacterial phylum of the five soil samples (P < 0.05). Solid circles represent the soil sample. The abbreviation of samples is shown in Table 1. Arrows indicated the direction and magnitude of variables.
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ijerph-12-12002-f005: Redundancy analysis (RDA) of the relationship between the soil physicochemical parameters and the relative abundance of bacterial phylum of the five soil samples (P < 0.05). Solid circles represent the soil sample. The abbreviation of samples is shown in Table 1. Arrows indicated the direction and magnitude of variables.

Mentions: Redundancy analysis (RDA) indicated that organic matter was the highest determinant factor for explaining the most variations in the community compositions of the five soil samples (Figure 5). While the JBT1 sample had high pH and electric conductivity (EC) values and low total P, the soil SYT and JBT60 were related with relatively lower levels of pH and EC but higher total P and N. The relative abundance of some phyla, Gemmatimonadetes and Actinobacteria were correlated with increasing organic matter concentrations, while Bacteroidetes were related with increasing pH and EC. The bacterial phyla, Planctomycetes, Acidobacteria and Chloroflex were apparently most dominant in JBT60 and SYT soils.


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

Peng M, Zi X, Wang Q - Int J Environ Res Public Health (2015)

Redundancy analysis (RDA) of the relationship between the soil physicochemical parameters and the relative abundance of bacterial phylum of the five soil samples (P < 0.05). Solid circles represent the soil sample. The abbreviation of samples is shown in Table 1. Arrows indicated the direction and magnitude of variables.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4626951&req=5

ijerph-12-12002-f005: Redundancy analysis (RDA) of the relationship between the soil physicochemical parameters and the relative abundance of bacterial phylum of the five soil samples (P < 0.05). Solid circles represent the soil sample. The abbreviation of samples is shown in Table 1. Arrows indicated the direction and magnitude of variables.
Mentions: Redundancy analysis (RDA) indicated that organic matter was the highest determinant factor for explaining the most variations in the community compositions of the five soil samples (Figure 5). While the JBT1 sample had high pH and electric conductivity (EC) values and low total P, the soil SYT and JBT60 were related with relatively lower levels of pH and EC but higher total P and N. The relative abundance of some phyla, Gemmatimonadetes and Actinobacteria were correlated with increasing organic matter concentrations, while Bacteroidetes were related with increasing pH and EC. The bacterial phyla, Planctomycetes, Acidobacteria and Chloroflex were apparently most dominant in JBT60 and SYT soils.

Bottom Line: The heatmap plot depicted the relative percentage of each bacterial family within each sample and clustered five samples into two groups.Redundancy analysis (RDA) indicated that organic matter was the highest determinant factor for explaining the variations in community compositions.These results provide some useful information for bioremediation of petroleum contaminated soil in the future.

View Article: PubMed Central - PubMed

Affiliation: College of Life Science, Northeast Forestry University, No.26 Hexing Street, Xiangfang District, Harbin 150040, China. huangxiaoming321@sina.com.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus