Humic substances in soil DNA samples can influence the assessment of microbial diversity and community composition. Using multiple steps during or after cell lysis adds expenses, is time-consuming, and causes DNA loss. A pretreatment of soil samples and a single step DNA extraction may improve experimental results. In order to optimize a protocol for obtaining high purity DNA from soil microbiota, five prewashing agents were compared in terms of their efficiency and effectiveness in removing soil contaminants. Residual contaminants were precipitated by adding 0.6mL of 0.5M CaCl(2). Four cell lysis methods were applied to test their compatibility with the pretreatment (prewashing+Ca(2+) flocculation) and to ultimately identify the optimal cell lysis method for analyzing fungal communities in forest soils. The results showed that pretreatment with TNP+Triton X-100+skim milk (100mM Tris, 100mM Na(4)P(2)O(7), 1% polyvinylpyrrolidone, 100mM NaCl, 0.05% Triton X-100, 4% skim milk, pH 10.0) removed most soil humic contaminants. When the pretreatment was combined with Ca(2+) flocculation, the purity of all soil DNA samples was further improved. DNA samples obtained by the fast glass bead-beating method (Method(FGB)) had the highest purity. The resulting DNA was successfully used, without further purification steps, as a template for polymerase chain reaction targeting fungal internal transcribed spacer regions. The results obtained by terminal restriction fragment length polymorphism analysis indicated that the Method(FGB) revealed greater fungal diversity and more distinctive community structure compared with the other methods tested. Our study provides a protocol for fungal cell lysis in soil, which is fast, convenient, and effective for analyzing fungal communities in forest soils.
Soil pretreatment and fast cell lysis for direct polymerase chain reaction from forest soils for terminal restriction fragment length polymorphism analysis of fungal communities.
森林土壤预处理和快速细胞裂解,用于直接聚合酶链式反应,以分析真菌群落的末端限制性片段长度多态性
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作者:Cheng Fei, Hou Lin, Woeste Keith, Shang Zhengchun, Peng Xiaobang, Zhao Peng, Zhang Shuoxin
| 期刊: | Brazilian Journal of Microbiology | 影响因子: | 1.900 |
| 时间: | 2016 | 起止号: | 2016 Oct-Dec;47(4):817-827 |
| doi: | 10.1016/j.bjm.2016.06.007 | 研究方向: | 细胞生物学 |
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