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利用自动核糖体间隔区分析(ARISA)研究银纳米颗粒对泰国两个土壤系列细菌群落结构的影响

Shift of bacterial community structure in two Thai soil series affected by silver nanoparticles using ARISA.

作者信息

Chunjaturas Wariya, Ferguson John A, Rattanapichai Wutthida, Sadowsky Michael J, Sajjaphan Kannika

机构信息

Department of Soil Science, Kasetsart University, Cha-Tuchak, Bangkok, Thailand.

出版信息

World J Microbiol Biotechnol. 2014 Jul;30(7):2119-24. doi: 10.1007/s11274-014-1633-0. Epub 2014 Mar 13.

Abstract

In this study we examined the influence of silver nanoparticles (SNP) on the bacterial community and microbial processes in two soils from Thailand, a Ayutthaya (Ay) and Kamphaengsaen soil series (Ks). Results of this analysis revealed that SNP did not affect to pH, electrical conductivity, cation exchange capacity, and organic matter in both the Ay and Ks series. Automated ribosomal intergenic spacer analysis (ARISA) analysis profiles showed that bacterial community decreased with increasing SNP concentration. Pearson's correlation coefficient and multidimensional scaling analyses indicated that the effects of SNP on the bacterial community structure depended more on soil types than SNP application rates and incubation periods. Additionally, the results showed that SNP application rates affected on amount of CO2 emissions, while SNP application rates had no effect on N mineralization in both soil types. This study is the first investigation of the effects of SNP on bacterial community using ARISA analysis. Our results might be useful to evaluate the risk associated with the applications of SNP for consumer products and agricultural practices.

摘要

在本研究中,我们考察了银纳米颗粒(SNP)对泰国两种土壤(大城府土壤系列(Ay)和北柳府土壤系列(Ks))中细菌群落及微生物过程的影响。该分析结果表明,SNP对Ay和Ks系列土壤的pH值、电导率、阳离子交换容量及有机质均无影响。自动核糖体基因间隔区分析(ARISA)图谱显示,细菌群落随SNP浓度的增加而减少。Pearson相关系数和多维尺度分析表明,SNP对细菌群落结构的影响更多地取决于土壤类型,而非SNP施用量和培养时间。此外,结果表明,SNP施用量影响二氧化碳排放量,而SNP施用量对两种土壤类型的氮矿化均无影响。本研究首次利用ARISA分析考察了SNP对细菌群落的影响。我们的结果可能有助于评估SNP应用于消费品和农业实践所带来的风险。

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