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pH levels drive bacterial community structure in sediments of the Qiantang River as determined by 454 pyrosequencing.

Liu S, Ren H, Shen L, Lou L, Tian G, Zheng P, Hu B - Front Microbiol (2015)

Bottom Line: However, the effects of environmental factors on the bacterial community of this freshwater ecosystem have not been determined.Using a linear-regression analysis, the OTU numbers were significantly positively correlated with pH (r = 0.832, p < 0.05) and negatively correlated with nitrate concentration (r = -0.805, p < 0.05).The results indicated that pH (p < 0.05) and nitrate concentration (p < 0.05) were the most significant factors that determined the community distribution of sediment bacteria.

View Article: PubMed Central - PubMed

Affiliation: Department of Environmental Engineering, Zhejiang University Hangzhou, China.

ABSTRACT
The Qiantang River is a typical freshwater ecosystem that acts as an irreplaceable water source in Zhejiang Province in southeastern China. However, the effects of environmental factors on the bacterial community of this freshwater ecosystem have not been determined. In this study, seven sediment samples were collected along the river. Their bacterial communities were identified using 454 high-throughput sequencing, and the primary environmental factors responsible for shaping the community structure were analyzed. The number of bacterial operational taxonomic units (OTUs) ranged from 2637 to 3933. Using a linear-regression analysis, the OTU numbers were significantly positively correlated with pH (r = 0.832, p < 0.05) and negatively correlated with nitrate concentration (r = -0.805, p < 0.05). A redundancy analysis (RDA) was also performed to test the relationship between the environmental factors and bacterial community composition. The results indicated that pH (p < 0.05) and nitrate concentration (p < 0.05) were the most significant factors that determined the community distribution of sediment bacteria.

No MeSH data available.


The relationship between pH, nitrate and bacterial α-diversity.
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Figure 3: The relationship between pH, nitrate and bacterial α-diversity.

Mentions: The physicochemical properties of the sediment samples are presented in Table S2. A Pearson analysis (Table S3) and simple linear regression (Figure 3) were used to examine the relationship between the environmental factors and bacterial biodiversity. The pH level was significantly positively correlated with the OTU numbers (r = 0.832, p < 0.05), whereas the Shannon and Simpson indices were positively (r = 0.856, p < 0.05) and negatively (r = −0.847, p < 0.05) correlated with pH, respectively. Another important factor influencing the OTU numbers was the nitrate concentration. The OTU numbers increased as the nitrate concentration decreased (r = −0.805, p < 0.05). Furthermore, the ammonia concentration (NH+4-N) (r = −0.764, p < 0.05) and total inorganic nitrogen (TIN) content (r = −0.826, p < 0.05) were significantly negatively correlated with the Shannon index. An RDA was also performed to test the relationship between the environmental factors and bacterial community composition (Figure 4), and the results indicated that the pH level was the most significant factor influencing the community distribution of sediment bacteria (p < 0.05). In addition, the nitrate concentration (NO−3-N) was also found to significantly influence the bacterial community composition (p < 0.05).


pH levels drive bacterial community structure in sediments of the Qiantang River as determined by 454 pyrosequencing.

Liu S, Ren H, Shen L, Lou L, Tian G, Zheng P, Hu B - Front Microbiol (2015)

The relationship between pH, nitrate and bacterial α-diversity.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4403504&req=5

Figure 3: The relationship between pH, nitrate and bacterial α-diversity.
Mentions: The physicochemical properties of the sediment samples are presented in Table S2. A Pearson analysis (Table S3) and simple linear regression (Figure 3) were used to examine the relationship between the environmental factors and bacterial biodiversity. The pH level was significantly positively correlated with the OTU numbers (r = 0.832, p < 0.05), whereas the Shannon and Simpson indices were positively (r = 0.856, p < 0.05) and negatively (r = −0.847, p < 0.05) correlated with pH, respectively. Another important factor influencing the OTU numbers was the nitrate concentration. The OTU numbers increased as the nitrate concentration decreased (r = −0.805, p < 0.05). Furthermore, the ammonia concentration (NH+4-N) (r = −0.764, p < 0.05) and total inorganic nitrogen (TIN) content (r = −0.826, p < 0.05) were significantly negatively correlated with the Shannon index. An RDA was also performed to test the relationship between the environmental factors and bacterial community composition (Figure 4), and the results indicated that the pH level was the most significant factor influencing the community distribution of sediment bacteria (p < 0.05). In addition, the nitrate concentration (NO−3-N) was also found to significantly influence the bacterial community composition (p < 0.05).

Bottom Line: However, the effects of environmental factors on the bacterial community of this freshwater ecosystem have not been determined.Using a linear-regression analysis, the OTU numbers were significantly positively correlated with pH (r = 0.832, p < 0.05) and negatively correlated with nitrate concentration (r = -0.805, p < 0.05).The results indicated that pH (p < 0.05) and nitrate concentration (p < 0.05) were the most significant factors that determined the community distribution of sediment bacteria.

View Article: PubMed Central - PubMed

Affiliation: Department of Environmental Engineering, Zhejiang University Hangzhou, China.

ABSTRACT
The Qiantang River is a typical freshwater ecosystem that acts as an irreplaceable water source in Zhejiang Province in southeastern China. However, the effects of environmental factors on the bacterial community of this freshwater ecosystem have not been determined. In this study, seven sediment samples were collected along the river. Their bacterial communities were identified using 454 high-throughput sequencing, and the primary environmental factors responsible for shaping the community structure were analyzed. The number of bacterial operational taxonomic units (OTUs) ranged from 2637 to 3933. Using a linear-regression analysis, the OTU numbers were significantly positively correlated with pH (r = 0.832, p < 0.05) and negatively correlated with nitrate concentration (r = -0.805, p < 0.05). A redundancy analysis (RDA) was also performed to test the relationship between the environmental factors and bacterial community composition. The results indicated that pH (p < 0.05) and nitrate concentration (p < 0.05) were the most significant factors that determined the community distribution of sediment bacteria.

No MeSH data available.