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Influence of the neonicotinoid insecticide thiamethoxam on soil bacterial community composition and metabolic function

文献类型： 外文期刊

作者： Changcai Wu; Zhinan Wang; Yan Ma; Junyu Luo; Xueke Gao; Jun Ning; Xiangdong Mei; Dongmei She

关键词： Bacteria Degradation genes Metagenomics Neonicotinoid insecticides Soil

期刊名称： Journal of Hazardous Materials

ISSN： 0304-3894

年卷期： 2021 年

页码：

收录情况： SCI

摘要： Understanding of neonicotinoid insecticides toxicity on non-target organisms, such as bees, has indirectly promoted their soil treatment use. However, their effect on soil ecosystems haven’t fully understood. Here, based on 16S rRNA high-throughput sequencing and metagenomics, the effects of neonicotinoid insecticide thiamethoxam on bacterial communities and metabolic functions in two types of soils were studied. Thiamethoxam treatment significantly affected soil bacterial abundance, reduced microbial diversity, and changed the bacterial community structure in the short term, and the structure soon returned to a stable state. Soil type and time were important factors affecting bacterial community structure. Some plant growth-promoting rhizosphere bacteria (PGPR) including Actinobacteria were found, and their populations were reduced, while pollutant-degrading bacteria including Firmicutes were also found, and their populations were increased. Based on metagenomics analysis, thiamethoxam treatment insignificantly promoted or inhibited multiple metabolic processes, but gene abundance of some key processes significantly changed. Subtypes of 18 biodegradation genes (BDGs) and 5 pesticide degradation genes (PDGs) were identified. Thiamethoxam treatment significantly increased the abundance of BDGs and PDGs, including cytochrome P450. Potential hosts of P450 degradation genes, including the genus Rhodococcus, were discovered. Conclusions of this study will promote safety evaluation and degradation-related research on neonicotinoid insecticides in soil.

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[1] Influence of the neonicotinoid insecticide thiamethoxam on soil bacterial community composition and metabolic function. Changcai Wu, Zhinan Wang, Yan Ma, Junyu Luo, Xueke Gao, Jun Ning, Xiangdong Mei, Dongmei She. 2021

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