The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
DNA–DNA hybridization values and their relationship to whole-genome sequence similarities
Abstract
DNA–DNA hybridization (DDH) values have been used by bacterial taxonomists since the 1960s to determine relatedness between strains and are still the most important criterion in the delineation of bacterial species. Since the extent of hybridization between a pair of strains is ultimately governed by their respective genomic sequences, we examined the quantitative relationship between DDH values and genome sequence-derived parameters, such as the average nucleotide identity (ANI) of common genes and the percentage of conserved DNA. A total of 124 DDH values were determined for 28 strains for which genome sequences were available. The strains belong to six important and diverse groups of bacteria for which the intra-group 16S rRNA gene sequence identity was greater than 94 %. The results revealed a close relationship between DDH values and ANI and between DNA–DNA hybridization and the percentage of conserved DNA for each pair of strains. The recommended cut-off point of 70 % DDH for species delineation corresponded to 95 % ANI and 69 % conserved DNA. When the analysis was restricted to the protein-coding portion of the genome, 70 % DDH corresponded to 85 % conserved genes for a pair of strains. These results reveal extensive gene diversity within the current concept of ‘species’. Examination of reciprocal values indicated that the level of experimental error associated with the DDH method is too high to reveal the subtle differences in genome size among the strains sampled. It is concluded that ANI can accurately replace DDH values for strains for which genome sequences are available.
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Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
Cited by
High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries
Jain, C., Rodriguez-R, L. M., Phillippy, A. M., Konstantinidis, K. T., & Aluru, S. (2018) · Nature Communications · doi:10.1038/s41467-018-07641-9 · Cited by 5,748
“Nevertheless, it closely reflects the traditional microbiological concept of DNA-DNA hybridization relatedness for defining species (3), as it takes into account the fluid nature of the bacterial gene pool and hence implicitly considers shared function.”
BackgroundMethodSelf-citationMicrobiome definition re-visited: old concepts and new challenges
Berg, G., Rybakova, D., Fischer, D., Cernava, T., Vergès, M.-C. C., Charles, T., Chen, X., Cocolin, L., Eversole, K., Corral, G. H., et al. (2020) · Microbiome · doi:10.1186/s40168-020-00875-0 · Cited by 2,275
Scaling laws predict global microbial diversity
Locey, K. J., & Lennon, J. T. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521291113 · Cited by 1,184
Prevotella Diversity, Niches and Interactions with the Human Host
Tett, A., Pasolli, E., Masetti, G., Ercolini, D., & Segata, N. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00559-y · Cited by 748
A Catalog of Reference Genomes from the Human Microbiome
The Human Microbiome Jumpstart Reference Strains Consortium, Nelson, K. E., Weinstock, G. M., Highlander, S. K., Worley, K. C., Creasy, H. H., Wortman, J. R., Rusch, D. B., Mitreva, M., Sodergren, E., et al. (2010) · Science · doi:10.1126/science.1183605 · Cited by 702
Metadata
- Authors
- Goris, J., Konstantinidis, K. T., Klappenbach, J. A., Coenye, T., Vandamme, P., & Tiedje, J. M.
- Venue
- International Journal of Systematic and Evolutionary Microbiology
- Publisher
- Microbiology Society
- Published
- 2007-01-01
- Volume
- 57
- Issue
- 1
- Pages
- 81-91
- ISSN
- 1466-5026 (ISSN-L)
- 1466-5034
- OpenAlex
- W2127036970
- Cited by
- 4,750
- References
- 1
- FWCI
- 8.86
- Type
- journal article
- Language
- en
- Open access
- closed
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