Abstract
Denaturing gradient gel electrophoresis (DGGE), terminal-restriction fragment length polymorphism (T-RFLP) analysis, and automated ribosomal intergenic spacer analysis (ARISA) have been widely used as molecular fingerprinting methods for analysis of microbial communities. To find suitable methods, we compared the three fingerprinting methods by analyzing soil fungal communities in four differing land-use types: bare ground, crop fields, grasslands, and forests. We also examined optimal primer pairs for DGGE analysis by comparing single and mixed DNA samples of cultured fungal populations. Principal coordinate analysis (PCO), nonmetric multidimensional scaling method (NMDS), and analysis of similarities (ANOSIM), which are major multivariate statistical analyses for quantifying fingerprint patterns, were compared. All three fingerprinting methods yielded clear discrimination of soil fungal communities among the four land-use types, irrespective of statistical methods. The advantages and disadvantages of the three fingerprinting methods were discussed.
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Acknowledgments
Pure cultures of microbial strains used for selection of primers were kindly provided by Kazuaki Tanaka (Plant Pathology, Hirosaki University), Sayaka Isono, and Teruo Sano (Plant Pathology, Hirosaki University). Part of this experiment was assisted by Hiroshi Ida and Liu Guangcheng.
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Okubo, A., Sugiyama, Si. Comparison of molecular fingerprinting methods for analysis of soil microbial community structure. Ecol Res 24, 1399–1405 (2009). https://doi.org/10.1007/s11284-009-0602-9
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DOI: https://doi.org/10.1007/s11284-009-0602-9