2008
DOI: 10.1134/s0026261708030016
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Application of molecular methods to classification and identification of bacteria of the genus Bifidobacterium

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Cited by 13 publications
(10 citation statements)
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“…At present it is accepted by taxonomists that a similarity score for 16S rDNA falling between 97 and 99% is sufficient for identification of bacteria to genus and species levels respectively 13. Nevertheless, in the case of closely related species, even the full sequence of 16S rDNA is insufficient for differentiation, because the interspecies level of 16S rRNA gene similarity varies within the range 93–99 % 7. In the ‘ L. casei group’, identities can reach more than 99% for distinct species, which makes discrimination problematic.…”
Section: Discussionmentioning
confidence: 99%
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“…At present it is accepted by taxonomists that a similarity score for 16S rDNA falling between 97 and 99% is sufficient for identification of bacteria to genus and species levels respectively 13. Nevertheless, in the case of closely related species, even the full sequence of 16S rDNA is insufficient for differentiation, because the interspecies level of 16S rRNA gene similarity varies within the range 93–99 % 7. In the ‘ L. casei group’, identities can reach more than 99% for distinct species, which makes discrimination problematic.…”
Section: Discussionmentioning
confidence: 99%
“…The ARDRA technique is a powerful tool for identification of bifidobacteria and lactobacilli in general 4–7. AluI, HhaI, MseI and RsaI are commonly used enzymes in restriction profile analysis 14, 15.…”
Section: Discussionmentioning
confidence: 99%
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“…These fingerprinting methods have the disadvantage of a low reproducibility, and they need strict standardization of PCR conditions. The use of different polymerases, DNA/primer ratios or different annealing temperatures may lead to a discrepancy in the results obtained in different laboratories [24]. …”
Section: Introductionmentioning
confidence: 99%
“…Molecular techniques based on polymerase chain reaction (PCR) have been successfully developed and implemented for detection and enumeration of diVerent microorganisms (pathogenic and nonpathogenic) from a wide variety of environments [7,9,21,22]. Molecularbased methodologies have high reproducibility, accuracy, and speciWcity for recognition of minimal diVerences at genomic level for highly related organisms such as those belonging to the Klebsiella (Raoultella) group [10].…”
Section: Introductionmentioning
confidence: 99%