Department of Soil Microbiology and Symbiotic Systems, Estación Experimental del Zaidín, CSIC, Granada, Spain.
Department of Animal Biology, Plant Biology and Ecology, Universidad de Jaén, Jaén, Spain.
Methods Mol Biol. 2020;2146:117-136. doi: 10.1007/978-1-0716-0603-2_10.
Terminal restriction fragment length polymorphism (TRFLP) approaches enable the detection and identification of microbial taxa into samples coming from root or soil material DNA extraction. The low taxonomic diversity of arbuscular mycorrhizal (AM) fungi makes this technique a cheap and adequate method for fingerprinting their communities. Here, I describe the TRFLP database approach, a version of the technique in which the AM fungal taxa present in the sample pool is identified for, later, match their presence in the different samples contained in the experiment. A final AM fungal operational taxonomic unit x sample presence-absence matrix is obtained, which allows the subsequent multivariate statistical analysis of the experimental results.
末端限制性片段长度多态性 (TRFLP) 方法可用于检测和识别微生物类群,这些类群来自于根或土壤材料的 DNA 提取。丛枝菌根 (AM) 真菌的低分类多样性使得该技术成为一种用于对其群落进行指纹识别的廉价且合适的方法。在这里,我描述了 TRFLP 数据库方法,该技术的一个版本是确定样本池中存在的 AM 真菌类群,然后将其与实验中包含的不同样本中的存在情况相匹配。最终获得 AM 真菌操作分类单元 x 样本存在-不存在矩阵,这允许对实验结果进行后续的多元统计分析。