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. Author manuscript; available in PMC: 2012 Feb 1.
Published in final edited form as: FEMS Microbiol Ecol. 2010 Dec 13;75(2):332–342. doi: 10.1111/j.1574-6941.2010.01009.x

Table 3.

Influence of signal adjustments on relative abundance of bacterial classes

Class Sample 1:
signal adjustment
Sample 2:
signal adjustment


None* CH CH+16S
copy
None* CH CH+16S
copy
Alphaproteobacteria - - - <0.1% <0.1% <0.1%
Betaproteobacteria 1.1% 1.3% 3.1% 1.2% 1.4% 3.5%
Gammaproteobacteria 0.8% 1.0% 1.1% 0.5% 0.6% 0.8%
Deltaproteobacteria 0.5% 0.6% 0.9% 0.5% 0.6% 1.0%
Epsilonproteobacteria - - - - - -
Clostridia 79.8% 77.1% 64.4% 80.9% 78.4% 67.7%
Mollicutes 0.2% 0.2% 1.0% 0.4% 0.5% 2.2%
Bacilli 2.0% 2.3% 2.8% 5.1% 6.1% 8.2%
Actinobacteria 5.9% 6.7% 13.3% 0.7% 0.9% 2.2%
Spirochaetes <0.1% <0.1% 0.1% <0.1% <0.1% 0.1%
Bacteroidetes 9.0% 9.8% 11.6% 10.3% 11.1% 13.7%
Verrucomicrobiae 0.6% 0.7% 1.3% 0.3% 0.4% 0.7%
Lentisphaerae 0.1% 0.1% 0.5% <0.1% <0.1% <0.1%

Comparisons were carried out for samples subjected to 25 cycles of PCR amplification.

*

No adjustment was applied to normalized signal values.

Signal was adjusted by the cross-hybridization algorithm.

Signal was first adjusted by the cross-hybridization algorithm, and then by the average number of 16S rRNA gene copies per bacterial genome.

“-“ – none detected.