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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: 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.

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.


DGGE analysis result of different soil samples in Dagang oil field.(a) Community profiles based on DGGE analysis of the V3 region of the 16S rDNA amplified by PCR of DNA extracts from soil samples of S1 to S14 (lanes 1–14). (b) Dendrogram analysis (UPGMA) of DGGE banding patterns from different soil samples.
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f2: DGGE analysis result of different soil samples in Dagang oil field.(a) Community profiles based on DGGE analysis of the V3 region of the 16S rDNA amplified by PCR of DNA extracts from soil samples of S1 to S14 (lanes 1–14). (b) Dendrogram analysis (UPGMA) of DGGE banding patterns from different soil samples.

Mentions: Diversity of microbial communities in soils, based on DGGE, was estimated by the number of amplified 16S rDNA bands (Fig. 2a), in which each band was assumed to represent a single operational taxonomic unit (OTU)26. Samples S1, S2, S3, S8, S9 and S10 displayed a greater number of bands, whereas samples S4, S6, S7 and S13 produced fewer distinct bands. Partitioning of features of microbial community structure can be seen in the dendrogram that was created by illustrating the similarity of microbial communities in soils (Fig. 2b). Microbial communities could be grouped into three major phylogenetic clusters. S10 and S12, which both were located in the oil refinery and transportation zones, revealed similar community structure with the highest similarity (85.9%), whereas S6 and S10 displayed the divergent communities with only 17.2% similarity. Moreover, the soils in the same zones with different concentrations of PHs and salinity were grouped into different clusters.


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)

DGGE analysis result of different soil samples in Dagang oil field.(a) Community profiles based on DGGE analysis of the V3 region of the 16S rDNA amplified by PCR of DNA extracts from soil samples of S1 to S14 (lanes 1–14). (b) Dendrogram analysis (UPGMA) of DGGE banding patterns from different soil samples.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f2: DGGE analysis result of different soil samples in Dagang oil field.(a) Community profiles based on DGGE analysis of the V3 region of the 16S rDNA amplified by PCR of DNA extracts from soil samples of S1 to S14 (lanes 1–14). (b) Dendrogram analysis (UPGMA) of DGGE banding patterns from different soil samples.
Mentions: Diversity of microbial communities in soils, based on DGGE, was estimated by the number of amplified 16S rDNA bands (Fig. 2a), in which each band was assumed to represent a single operational taxonomic unit (OTU)26. Samples S1, S2, S3, S8, S9 and S10 displayed a greater number of bands, whereas samples S4, S6, S7 and S13 produced fewer distinct bands. Partitioning of features of microbial community structure can be seen in the dendrogram that was created by illustrating the similarity of microbial communities in soils (Fig. 2b). Microbial communities could be grouped into three major phylogenetic clusters. S10 and S12, which both were located in the oil refinery and transportation zones, revealed similar community structure with the highest similarity (85.9%), whereas S6 and S10 displayed the divergent communities with only 17.2% similarity. Moreover, the soils in the same zones with different concentrations of PHs and salinity were grouped into different clusters.

Bottom Line: 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.

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.