Effects of nitrogen-doped carbon nanoparticles on bacterial community in paddy rhizosphere soil

doi:10.13287/j.1001-9332.202011.033

Abstract

Abstract: The nitrogen-doped carbon nanoparticles (N-CNPs) has a high potential of increasing nitrogen efficiency in farmland. However, little has been known about the effects of N-CNPs on soil microbial communities. In this study, paddy rhizosphere samples were collected from soils being treated with different nitrogen-doped amount of carbon nanoparticles (low, 1.2%, N-CNPs1; medium, 6.7%, N-CNPs2; high, 9.3%, N-CNPs3) for three years. We analyzed the bacterial community structure and diversity using the high-throughput sequencing. PICRUSt gene prediction analysis was used to determine soil community composition and metabolic function. Our results showed that treatment with N-CNPs changed the structure and diversity of soil microbial communities. Soil bacterial community diversity in adding medium amount of nitrogen-doped nanoparticles group (N-CNPs2) was the highest among all the treatments. Crenarchaeota, Acidobacteria and Planctomycetes were the most dominant groups in the soil microbial community. The relative abundances of Crenarchaeota, Acidobacteria and Verrucomicrobia increased, whereas Planctomycetes, Chloroflexi and Nitrospirae decreased with adding N-CNPs. Results of PICRUSt analysis revealed a wide genetic diversity of organisms involved in adding N-CNPs, such as amino acid metabolism, carbohydrate metabolism, lipid metabolism and environmental information processes. Heat map analysis of KEGG demonstrated that adding medium amount of nitrogen-doped nanoparticles (N-CNPs2) group increased the relative abundance of bacterial community associated with soil carbon and nitrogen metabolism.

Key words: nitrogen-doped, carbon nanoparticles, paddy soil, bacterial community, functional predicting

HU Wei, XIANG Jian-hua, XIANG Yan-ci, CHEN Yan. Effects of nitrogen-doped carbon nanoparticles on bacterial community in paddy rhizosphere soil[J]. Chinese Journal of Applied Ecology, 2020, 31(11): 3842-3850.

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