Cluster analysis and statistical comparison of molecular community profile data.

摘要: Characterization of the diversity and structure microbial communities in environment has been made possible by technical developments molecular biology during last two decades. Since Muyzer et al. [18] 1993 first reported use denaturing gradient gel electrophoresis (DGGE) for analysis whole bacterial communities, this fingerprinting technique become most popular tool to characterize [Muyzer 1998 other chapters manual], despite development many community profiling techniques such as Amplified Ribosomal DNA Restriction Analysis (ARDRA), Length Heterogeneity-PCR (LH-PCR), Intergenic Spacer (RISA), Single-Strand Conformation Polymorphism (SSCP) Terminal-Restriction Fragment (T-RFLP). Cultureindependent profiles are defined habitats using phylogenetically relevant macromolecules, particularly 16S rRNA gene fragments directly amplified from [see e.g. 20, 24, 26]. This revealed an unsuspected complexity is exemplified Krave [13], who showed stratification a pine forest soil Central Java, Indonesia (see Figure 1). Potentially it give complete description classical cloning sequencing techniques, but usually not feasible practice [13, 20]. The electrophoretic separation PCR-amplified fragment pools was developed alternative solution labour-intensive expensive analysis. Usually used combination with selective [7, 13, 22, 24]). Often fingerprints only visually compared, however far more information can be obtained rigorous profiles, calculation statistics numerical comparison clustering or ordination techniques.