Literature DB >> 18050912

Relationship between genome similarity and DNA-DNA hybridization among closely related bacteria.

Cheol-Hee Kang1, Young-Do Nam, Won-Hyong Chung, Zhe-Xue Quan, Yong-Ha Park, Soo-Je Park, Racheal Desmone, Xiu-Feng Wan, Sung-Keun Rhee.   

Abstract

DNA-DNA hybridization has been established as an important technology in bacterial species taxonomy and phylogenetic analysis. In this study, we analyzed how the efficiency with which the genomic DNA from one species hybridizes to the genomic DNA of another species (DNA-DNA hybridization) in microarray analysis relates to the similarity between two genomes. We found that the predicted DNA-DNA hybridization based on genome sequence similarity correlated well with the experimentally determined microarray hybridization. Between closely related strains, significant numbers of highly divergent genes (<55% identity) and/or the accumulation of mismatches between conserved genes lowered the DNA-DNA hybridization signal, and this reduced the hybridization signals to below 70% for even bacterial strains with over 97% 16S rRNA gene identity. In addition, our results also suggest that a DNA-DNA hybridization signal intensity of over 40% indicates that two genomes at least shared 30% conserved genes (>60% gene identity). This study may expand our knowledge of DNA-DNA hybridization based on genomic sequence similarity comparison and further provide insights for bacterial phylogeny analyses.

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Year:  2007        PMID: 18050912

Source DB:  PubMed          Journal:  J Microbiol Biotechnol        ISSN: 1017-7825            Impact factor:   2.351


  3 in total

1.  A new microfluidic approach for the one-step capture, amplification and label-free quantification of bacteria from raw samples.

Authors:  Iago Pereiro; Amel Bendali; Sanae Tabnaoui; Lucile Alexandre; Jana Srbova; Zuzana Bilkova; Shane Deegan; Lokesh Joshi; Jean-Louis Viovy; Laurent Malaquin; Bruno Dupuy; Stéphanie Descroix
Journal:  Chem Sci       Date:  2016-10-10       Impact factor: 9.825

2.  Using Cartesian Doubt To Build a Sequencing-Based View of Microbiology.

Authors:  Braden T Tierney; Erika Szymanski; James R Henriksen; Aleksandar D Kostic; Chirag J Patel
Journal:  mSystems       Date:  2021-10-12       Impact factor: 7.324

Review 3.  Historical, current, and emerging tools for identification and serotyping of Shigella.

Authors:  Fatima Bachir Halimeh; Rayane Rafei; Marwan Osman; Issmat I Kassem; Seydina M Diene; Fouad Dabboussi; Jean-Marc Rolain; Monzer Hamze
Journal:  Braz J Microbiol       Date:  2021-09-15       Impact factor: 2.476

  3 in total

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