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Distribution of petroleum degrading genes and factor analysis of petroleum contaminated soil from the Dagang Oilfield, China.

Liu Q, Tang J, Bai Z, Hecker M, Giesy JP - Sci Rep (2015)

Bottom Line: Genes that encode for enzymes that can degrade petroleum hydrocarbons (PHs) are critical for the ability of microorganisms to bioremediate soils contaminated with PHs.Numbers of copies of AlkB ranged between 9.1 × 10(5) and 1.9 × 10(7) copies/g dry mass (dm) soil, and were positively correlated with total concentrations of PHs (TPH) (R(2) = 0.573, p = 0.032) and alkanes (C33 ~ C40) (R(2) = 0.914, p < 0.01).Results of a factor analysis showed that individual samples of soils were not ordinated as a function of the zones.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Tianjin Engineering Center of Pollution Diagnosis and Environmental Restoration, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.

ABSTRACT
Genes that encode for enzymes that can degrade petroleum hydrocarbons (PHs) are critical for the ability of microorganisms to bioremediate soils contaminated with PHs. Distributions of two petroleum-degrading genes AlkB and Nah in soils collected from three zones of the Dagang Oilfield, Tianjin, China were investigated. Numbers of copies of AlkB ranged between 9.1 × 10(5) and 1.9 × 10(7) copies/g dry mass (dm) soil, and were positively correlated with total concentrations of PHs (TPH) (R(2) = 0.573, p = 0.032) and alkanes (C33 ~ C40) (R(2) = 0.914, p < 0.01). The Nah gene was distributed relatively evenly among sampling zones, ranging between 1.9 × 10(7) and 1.1 × 10(8) copies/g dm soil, and was negatively correlated with concentrations of total aromatic hydrocarbons (TAH) (R(2) = -0.567, p = 0.035) and ∑16 PAHs (R(2) = -0.599, p = 0.023). Results of a factor analysis showed that individual samples of soils were not ordinated as a function of the zones.

No MeSH data available.


Related in: MedlinePlus

Sampling area and location of sampling points.The figure map was generated by using software ArcGIS 10 (Environmental Systems Research Institute, Inc. Redlands, US). The sampling sites were located by using Global Positioning System (GPS).
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f5: Sampling area and location of sampling points.The figure map was generated by using software ArcGIS 10 (Environmental Systems Research Institute, Inc. Redlands, US). The sampling sites were located by using Global Positioning System (GPS).

Mentions: Fourteen soils contaminated with PHs were sampled from three different zones in the Dagang Oilfield area, which is situated in the southeast of Tianjin city, Northern China (lat.38°39′47.43″ ~ 38°44′42.37″N, long.117°20′1.47″ ~ 117°32′41.30″E): oil-producing, S1–S5 (Distance from the well: S1, S2 < 10 m; 20 < S3–S5 < 50 m); residential, S6–S9; and oil-refinery and transportation zones, S10–S14 (Table 2; Fig. 5). Soils were collected to a depth of ~10–20 cm. Four samples of soil were collected at each site using cross sampling methods by use of sterile spatulas. These four sub-samples were combined and then thoroughly homogenized to obtain a uniform composite for each site with total weight of 4 kg. Samples were transported to the laboratory on ice and stored at −20 °C for microbial analysis (DNA extraction and genetic characterization). Samples were air-dried for the determination of PHs and other physical and chemical properties such as pH and salt content.


Distribution of petroleum degrading genes and factor analysis of petroleum contaminated soil from the Dagang Oilfield, China.

Liu Q, Tang J, Bai Z, Hecker M, Giesy JP - Sci Rep (2015)

Sampling area and location of sampling points.The figure map was generated by using software ArcGIS 10 (Environmental Systems Research Institute, Inc. Redlands, US). The sampling sites were located by using Global Positioning System (GPS).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4478889&req=5

f5: Sampling area and location of sampling points.The figure map was generated by using software ArcGIS 10 (Environmental Systems Research Institute, Inc. Redlands, US). The sampling sites were located by using Global Positioning System (GPS).
Mentions: Fourteen soils contaminated with PHs were sampled from three different zones in the Dagang Oilfield area, which is situated in the southeast of Tianjin city, Northern China (lat.38°39′47.43″ ~ 38°44′42.37″N, long.117°20′1.47″ ~ 117°32′41.30″E): oil-producing, S1–S5 (Distance from the well: S1, S2 < 10 m; 20 < S3–S5 < 50 m); residential, S6–S9; and oil-refinery and transportation zones, S10–S14 (Table 2; Fig. 5). Soils were collected to a depth of ~10–20 cm. Four samples of soil were collected at each site using cross sampling methods by use of sterile spatulas. These four sub-samples were combined and then thoroughly homogenized to obtain a uniform composite for each site with total weight of 4 kg. Samples were transported to the laboratory on ice and stored at −20 °C for microbial analysis (DNA extraction and genetic characterization). Samples were air-dried for the determination of PHs and other physical and chemical properties such as pH and salt content.

Bottom Line: Genes that encode for enzymes that can degrade petroleum hydrocarbons (PHs) are critical for the ability of microorganisms to bioremediate soils contaminated with PHs.Numbers of copies of AlkB ranged between 9.1 × 10(5) and 1.9 × 10(7) copies/g dry mass (dm) soil, and were positively correlated with total concentrations of PHs (TPH) (R(2) = 0.573, p = 0.032) and alkanes (C33 ~ C40) (R(2) = 0.914, p < 0.01).Results of a factor analysis showed that individual samples of soils were not ordinated as a function of the zones.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Tianjin Engineering Center of Pollution Diagnosis and Environmental Restoration, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.

ABSTRACT
Genes that encode for enzymes that can degrade petroleum hydrocarbons (PHs) are critical for the ability of microorganisms to bioremediate soils contaminated with PHs. Distributions of two petroleum-degrading genes AlkB and Nah in soils collected from three zones of the Dagang Oilfield, Tianjin, China were investigated. Numbers of copies of AlkB ranged between 9.1 × 10(5) and 1.9 × 10(7) copies/g dry mass (dm) soil, and were positively correlated with total concentrations of PHs (TPH) (R(2) = 0.573, p = 0.032) and alkanes (C33 ~ C40) (R(2) = 0.914, p < 0.01). The Nah gene was distributed relatively evenly among sampling zones, ranging between 1.9 × 10(7) and 1.1 × 10(8) copies/g dm soil, and was negatively correlated with concentrations of total aromatic hydrocarbons (TAH) (R(2) = -0.567, p = 0.035) and ∑16 PAHs (R(2) = -0.599, p = 0.023). Results of a factor analysis showed that individual samples of soils were not ordinated as a function of the zones.

No MeSH data available.


Related in: MedlinePlus