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Ecotoxicol Environ Saf. 2019 Aug 15;177:93-99. doi: 10.1016/j.ecoenv.2019.03.114. Epub 2019 Apr 8.

The drivers of bacterial community underlying biogeographical pattern in Mollisol area of China.

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School of Resources and Environment, Northeast Agricultural University, Harbin, 150030, PR China.
School of Resources and Environment, Northeast Agricultural University, Harbin, 150030, PR China. Electronic address:


In order to better understand the composition and driving factors of the bacterial community in Mollisols, we selected 9 representative facility agricultural lands in Mollisol area of China for sampling, and described it on a larger spatial scale. Soil bacterial community structure in these 9 regions (determined by high-throughput sequencing analysis) showed significant differences at the genus level. The correlation between bacterial community composition and soil properties, contaminants and geographical latitude showed that the diversity of bacterial community was still strongly correlated with pH and SOM under the influence of phthalates (P < 0.05). Principal component Analysis (PCA) showed that soil properties (i.e. pH, organic matter, stacking density, the content of nitrogen, potassium, phosphorus) and PAEs level rather than geographic latitude were main drivers of differences in bacterial community structure. These factors account for 73.04% of the total variation of the bacterial community. Among them, PAEs act as a typical pollutant is the main factor driving the composition of bacterial community in facility agriculture Mollisols. This shows that PAEs is a potential pollution risk factor, which has important guiding significance for the sustainable and healthy development of agriculture in Mollisol area.


Bacterial community; Driving factors; High-throughput sequencing; Mollisol (black soil); PAEs

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