IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0087449.html
   My bibliography  Save this article

Composition of Microbial Oral Biofilms during Maturation in Young Healthy Adults

Author

Listed:
  • Daniela Langfeldt
  • Sven C Neulinger
  • Wieland Heuer
  • Ingmar Staufenbiel
  • Sven Künzel
  • John F Baines
  • Jörg Eberhard
  • Ruth A Schmitz

Abstract

In the present study we aimed to analyze the bacterial community structure of oral biofilms at different maturation stages in young healthy adults. Oral biofilms established on membrane filters were collected from 32 human subjects after 5 different maturation intervals (1, 3, 5, 9 and 14 days) and the respective phylogenetic diversity was analyzed by 16S rDNA amplicon sequencing. Our analyses revealed highly diverse entire colonization profiles, spread into 8 phyla/candidate divisions and in 15 different bacterial classes. A large inter-individual difference in the subjects’ microbiota was observed, comprising 35% of the total variance, but lacking conspicuous general temporal trends in both alpha and beta diversity. We further obtained strong evidence that subjects can be categorized into three clusters based on three differently occurring and mutually exclusive species clusters.

Suggested Citation

  • Daniela Langfeldt & Sven C Neulinger & Wieland Heuer & Ingmar Staufenbiel & Sven Künzel & John F Baines & Jörg Eberhard & Ruth A Schmitz, 2014. "Composition of Microbial Oral Biofilms during Maturation in Young Healthy Adults," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-8, February.
  • Handle: RePEc:plo:pone00:0087449
    DOI: 10.1371/journal.pone.0087449
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0087449
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0087449&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0087449?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    2. Peter J. Turnbaugh & Micah Hamady & Tanya Yatsunenko & Brandi L. Cantarel & Alexis Duncan & Ruth E. Ley & Mitchell L. Sogin & William J. Jones & Bruce A. Roe & Jason P. Affourtit & Michael Egholm & Be, 2009. "A core gut microbiome in obese and lean twins," Nature, Nature, vol. 457(7228), pages 480-484, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gerhard Tutz & Moritz Berger, 2018. "Tree-structured modelling of categorical predictors in generalized additive regression," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 737-758, September.
    2. Tommaso Luzzati & Angela Parenti & Tommaso Rughi, 2017. "Spatial error regressions for testing the Cancer-EKC," Discussion Papers 2017/218, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    3. Patrick D Schloss, 2009. "A High-Throughput DNA Sequence Aligner for Microbial Ecology Studies," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-9, December.
    4. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    5. John Molloy & Katrina Allen & Fiona Collier & Mimi L. K. Tang & Alister C. Ward & Peter Vuillermin, 2013. "The Potential Link between Gut Microbiota and IgE-Mediated Food Allergy in Early Life," IJERPH, MDPI, vol. 10(12), pages 1-22, December.
    6. Bharati Patel & Kadamb Patel & Shabbir Moochhala, 2020. "Diet-Derived Post-Biotic Metabolites to Promote Microbiota Function and Human Health," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 28(2), pages 21520-21524, June.
    7. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    8. Ahmed A Metwally & Philip S Yu & Derek Reiman & Yang Dai & Patricia W Finn & David L Perkins, 2019. "Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-16, February.
    9. Sihvonen, Markus, 2021. "Yield curve momentum," Research Discussion Papers 15/2021, Bank of Finland.
    10. Roberto Basile & Luigi Benfratello & Davide Castellani, 2012. "Geoadditive models for regional count data: an application to industrial location," ERSA conference papers ersa12p83, European Regional Science Association.
    11. Dillon T. Fogarty & Caleb P. Roberts & Daniel R. Uden & Victoria M. Donovan & Craig R. Allen & David E. Naugle & Matthew O. Jones & Brady W. Allred & Dirac Twidwell, 2020. "Woody Plant Encroachment and the Sustainability of Priority Conservation Areas," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    12. E. Zanini & E. Eastoe & M. J. Jones & D. Randell & P. Jonathan, 2020. "Flexible covariate representations for extremes," Environmetrics, John Wiley & Sons, Ltd., vol. 31(5), August.
    13. Daniel Melser & Robert J. Hill, 2019. "Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 111-146, July.
    14. Pirjo Wacklin & Harri Mäkivuokko & Noora Alakulppi & Janne Nikkilä & Heli Tenkanen & Jarkko Räbinä & Jukka Partanen & Kari Aranko & Jaana Mättö, 2011. "Secretor Genotype (FUT2 gene) Is Strongly Associated with the Composition of Bifidobacteria in the Human Intestine," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-10, May.
    15. Yunxi Liu & R. A. Leo Elworth & Michael D. Jochum & Kjersti M. Aagaard & Todd J. Treangen, 2022. "De novo identification of microbial contaminants in low microbial biomass microbiomes with Squeegee," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    16. C. E. Dubé & M. Ziegler & A. Mercière & E. Boissin & S. Planes & C. A. -F. Bourmaud & C. R. Voolstra, 2021. "Naturally occurring fire coral clones demonstrate a genetic and environmental basis of microbiome composition," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    17. Maciej Berȩsewicz & Dagmara Nikulin, 2021. "Estimation of the size of informal employment based on administrative records with non‐ignorable selection mechanism," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 667-690, June.
    18. Robert J. Hill & Michael Scholz, 2014. "Incorporating Geospatial Data in House Price Indexes: A Hedonic Imputation Approach with Splines," Graz Economics Papers 2014-05, University of Graz, Department of Economics.
    19. Mariana F. Fernández & Iris Reina-Pérez & Juan Manuel Astorga & Andrea Rodríguez-Carrillo & Julio Plaza-Díaz & Luis Fontana, 2018. "Breast Cancer and Its Relationship with the Microbiota," IJERPH, MDPI, vol. 15(8), pages 1-20, August.
    20. Cathrine Ulla Jensen & Toke Emil Panduro, 2016. "PanJen: A test for functional form with continuous variables," IFRO Working Paper 2016/08, University of Copenhagen, Department of Food and Resource Economics.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0087449. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.