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Methodological Aspects of Multiplex Terminal Restriction Fragment Length Polymorphism-Technique to Describe the Genetic Diversity of Soil Bacteria Archaea and Fungi

机译:多重末端限制片段长度多态性的方法学描述土壤细菌古细菌和真菌遗传多样性的技术

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摘要

The molecular fingerprinting methods used to evaluate soil microbial diversity could also be used as effective biosensors for the purposes of monitoring ecological soil status. The biodiversity of microorganisms is a relevant index of soil activity and there is a necessity to develop tools to generate reliable results for an emerging approach in the field of environmental control using microbial diversity biosensors. This work reports a method under development for determining soil microbial diversity using high efficiency Multiplex PCR-Terminal Restriction Fragment Length Polymorphism (M-T-RFLP) for the simultaneous detection of bacteria, archaea and fungi. Three different primer sets were used in the reaction and the analytical conditions were optimized. Optimal analytical conditions were achieved using 0.5 µM of primer for bacteria and 1 µM for archaea and fungi, 4 ng of soil DNA template, and HaeIII restriction enzyme. Comparative tests using the proposed analytical approach and a single analysis of each microorganism group were carried out to indicate that both genetic profiles were similar. The Jaccard similarity coefficient between single and multiplexing approach ranged from 0.773 to 0.850 for bacteria and fungi, and 0.208 to 0.905 for archaea. In conclusion, the multiplexing and pooling approaches significantly reduced the costs and time required to perform the analyses, while maintaining a proper effectiveness.
机译:用于评估土壤微生物多样性的分子指纹方法也可以用作有效的生物传感器,以监测土壤生态状况。微生物的生物多样性是土壤活动的一个相关指标,因此有必要开发工具来为使用微生物多样性生物传感器的环境控制领域中的新兴方法生成可靠的结果。这项工作报告了一种正在开发的用于同时检测细菌,古细菌和真菌的高效多重PCR-末端限制性片段长度多态性(M-T-RFLP)来确定土壤微生物多样性的方法。反应中使用了三种不同的引物对,并优化了分析条件。使用0.5 µM细菌引物和1 µM古细菌和真菌,4 ng土壤DNA模板以及HaeIII限制酶可达到最佳分析条件。使用提议的分析方法进行的比较测试以及对每个微生物组的单个分析均进行了测试,以表明两种遗传特征均相似。单一方法和多重方法之间的Jaccard相似系数对于细菌和真菌为0.773至0.850,对于古细菌为0.208至0.905。总之,多路复用和池化方法显着降低了执行分析所需的成本和时间,同时保持了适当的有效性。

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