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Biology of Oral Streptococci
Abranches, J., Zeng, L., Kajfasz, J. K., Palmer, S. R., Chakraborty, B., Wen, Z. T., Richards, V. P., Brady, L. J., Lemos, J. A.·2018·Microbiology Spectrum
Abstract
Bacteria belonging to the genus Streptococcus are the first inhabitants of the oral cavity, which can be acquired right after birth and thus play an important role in the assembly of the oral microbiota. In this article, we discuss the different oral environments inhabited by streptococci and the species that occupy each niche. Special attention is given to the taxonomy of Streptococcus , because this genus is now divided into eight distinct groups, and oral species are found in six of them. Oral streptococci produce an arsenal of adhesive molecules that allow them to efficiently colonize different tissues in the mouth. Also, they have a remarkable ability to metabolize carbohydrates via fermentation, thereby generating acids as byproducts. Excessive acidification of the oral environment by aciduric species such as Streptococcus mutans is directly associated with the development of dental caries. However, less acid-tolerant species such as Streptococcus salivarius and Streptococcus gordonii produce large amounts of alkali, displaying an important role in the acid-base physiology of the oral cavity. Another important characteristic of certain oral streptococci is their ability to generate hydrogen peroxide that can inhibit the growth of S. mutans . Thus, oral streptococci can also be beneficial to the host by producing molecules that are inhibitory to pathogenic species. Lastly, commensal and pathogenic streptococci residing in the oral cavity can eventually gain access to the bloodstream and cause systemic infections such as infective endocarditis.
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“Arginine deiminase system (ADS)-positive bacteria can contribute to the alkalization of the oral microenvironment via arginine and proline metabolism, and can inhibit the growth of acidic cariogenic bacterial species such as S. mutans [61].”
From Saliva microbiome alterations in dental fluorosis population (2023) · cites this paper as [61]
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Bacteria of Dental Caries in Primary and Permanent Teeth in Children and Young Adults
Aas, J. A., Griffen, A. L., Dardis, S. R., Lee, A. M., Olsen, I., Dewhirst, F. E., Leys, E. J., & Paster, B. J. (2008) · Journal of Clinical Microbiology · doi:10.1128/jcm.01410-07 · Cited by 952 · cited 1×
“Multiple clinical studies involving both children and adults support that arginine and elevated ADS levels are correlated with dental health, whereas low ADS activity appears to be strongly associated with active disease (35, 93 – 95).”
BackgroundThe mechanisms of carbon catabolite repression in bacteria
Deutscher, J. (2008) · Current Opinion in Microbiology · doi:10.1016/j.mib.2008.02.007 · Cited by 676
Streptococcus Adherence and Colonization
Nobbs, A. H., Lamont, R. J., & Jenkinson, H. F. (2009) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00014-09 · Cited by 657
Schleifer, K. H., & Kilpper-Balz, R. (1984) · International Journal of Systematic Bacteriology · doi:10.1099/00207713-34-1-31 · Cited by 603
A Core Human Microbiome as Viewed through 16S rRNA Sequence Clusters
Huse, S. M., Ye, Y., Zhou, Y., & Fodor, A. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034242 · Cited by 572
Rosan, B., & Lamont, R. J. (2000) · Microbes and Infection · doi:10.1016/s1286-4579(00)01316-2 · Cited by 561
Duran-Pinedo, A. E., & Frias-Lopez, J. (2015) · Microbes and Infection · doi:10.1016/j.micinf.2015.03.014 · Cited by 187 · cited 1×
“…fi ling with other “ -omics ” technologies (i.e., transcriptomics, proteomics, and metabolomics) is essential for a global understanding of the speci fi c contributions of oral bacteria to health and disease (17), providing a better understanding of how complex communities function and interact (37).”
BackgroundWang, B.-Y., & Kuramitsu, H. K. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.1.354-362.2005 · Cited by 144
A Highly Arginolytic Streptococcus Species That Potently Antagonizes Streptococcus mutans
Huang, X., Palmer, S. R., Ahn, S.-J., Richards, V. P., Williams, M. L., Nascimento, M. M., & Burne, R. A. (2016) · Applied and Environmental Microbiology · doi:10.1128/aem.03887-15 · Cited by 127
Self-citationDeng, L., Bensing, B. A., Thamadilok, S., Yu, H., Lau, K., Chen, X., Ruhl, S., Sullam, P. M., & Varki, A. (2014) · PLoS Pathogens · doi:10.1371/journal.ppat.1004540 · Cited by 88
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Metadata
- Authors
- Abranches, J., Zeng, L., Kajfasz, J. K., Palmer, S. R., Chakraborty, B., Wen, Z. T., Richards, V. P., Brady, L. J., & Lemos, J. A.
- Affiliations
- Department of Oral Biology, University of Florida College of Dentistry, Gainesville, FL
- Division of Biosciences, College of Dentistry, Ohio State University, Columbus, OH
- Department of Comprehensive Dentistry and Biomaterials and Department of Microbiology, Immunology and Parasitology, Louisiana State University Health Sciences Center, New Orleans, LA
- Department of Biological Sciences, Clemson University, Clemson, SC
- Venue
- Microbiology Spectrum
- Publisher
- American Society for Microbiology
- Published
- 2018-09-07
- Volume
- 6
- Issue
- 5
- ISSN
- 2165-0497
- PMC
- PMC6287261
- Cited by
- 502
- References
- 11
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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