2008
DOI: 10.1016/j.mimet.2008.08.002
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Development and application of a T-RFLP data analysis method using correlation coefficient matrices

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Cited by 13 publications
(6 citation statements)
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“…The diversity of the bacterial community was evaluated by the number of TRFs and the Shannon diversity index of T-RFLP profiles. The bacterial candidates corresponding to the TRFs with significantly more or fewer subjects in one cluster than in the other clusters were selected using BP-TRFMA (24). The correlation threshold in BP-TRFMA was set at 0.13, which corresponds to a significant correlation coefficient in this sample size.…”
Section: Methodsmentioning
confidence: 99%
“…The diversity of the bacterial community was evaluated by the number of TRFs and the Shannon diversity index of T-RFLP profiles. The bacterial candidates corresponding to the TRFs with significantly more or fewer subjects in one cluster than in the other clusters were selected using BP-TRFMA (24). The correlation threshold in BP-TRFMA was set at 0.13, which corresponds to a significant correlation coefficient in this sample size.…”
Section: Methodsmentioning
confidence: 99%
“…The T-RFs which showed a more than 10% peak level for all of three enzymes were selected to predict the genus of the microorganisms based on a database 41) . To confirm these findings, a qualitative PCR analysis was carried out using genus-and species-specific primers.…”
Section: Qualitative Pcrmentioning
confidence: 99%
“…When the signal data for three degradation enzymes was matched, the accuracy of the estimation might have been increased, and the database 41) of bacterial species might have better correspond to the T-RFLP pattern. Therefore, a principal component analysis of the T-RFLP profiles was performed for the three enzymes (date not shown).…”
Section: Qualitative Analyses Of Biofilms On the Samplesmentioning
confidence: 99%
See 1 more Smart Citation
“…T-RFLP analysis is a method to study complex microbial communities based on variation in the 16S rRNA gene (Osborn et al, 2001). It was used to determine the pattern of the bacteria from various environments (Nakano et al, 2008) and bacterial dynamics in response to environmental changes (Osborn et al, 2001). Some of the advantages of this method are low cost and able to analyze hundred of samples per day (Zhang et al, 2008).…”
Section: Introductionmentioning
confidence: 99%