Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Letter
  • Published:

A taxa–area relationship for bacteria

Abstract

A positive power-law relationship between the number of species in an area and the size of that area has been observed repeatedly in plant and animal communities1. This species–area relationship, thought to be one of the few laws in ecology2, is fundamental to our understanding of the distribution of global biodiversity. However, such a relationship has not been reported for bacteria, and little is known regarding the spatial distribution of bacteria, relative to what is known of plants and animals3. Here we describe a taxa–area relationship for bacteria over a scale of centimetres to hundreds of metres in salt marsh sediments. We found that bacterial communities located close together were more similar in composition than communities located farther apart, and we used the decay of community similarity with distance to show that bacteria can exhibit a taxa–area relationship. This relationship was driven primarily by environmental heterogeneity rather than geographic distance or plant composition.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: The taxa–area relationship for salt marsh organisms varied with taxonomic focus (a) and taxonomic resolution (b).
Figure 2: A comparison of z-values for both microbial and macrobial taxa in different ecosystems.

Similar content being viewed by others

References

  1. Rosenzweig, M. L. Species Diversity in Space and Time 8–48, 190–284 (Cambridge Univ. Press, Cambridge, 1995)

    Google Scholar 

  2. Lawton, J. H. Are there general laws in ecology? Oikos 84, 177–192 (1999)

    Article  Google Scholar 

  3. Horner-Devine, M. C., Carney, K. M. & Bohannan, B. J. M. An ecological perspective on bacterial biodiversity. Proc. R. Soc. Biol. Sci. B 271, 113–122 (2004)

    Article  Google Scholar 

  4. Arrhenius, O. Species and area. J. Ecol. 9, 59–99 (1921)

    Article  Google Scholar 

  5. Gleason, H. A. On the relationship between species and area. Ecology 3, 158–162 (1922)

    Article  Google Scholar 

  6. Crawley, M. J. & Harral, J. E. Scale dependence in plant biodiversity. Science 291, 864–868 (2001)

    Article  ADS  CAS  Google Scholar 

  7. Losos, J. B. Analysis of an evolutionary species–area relationship. Nature 408, 847–850 (2000)

    Article  ADS  CAS  Google Scholar 

  8. Bennett, J. P. Nested taxa–area curves for eastern United States floras. Rhodora 99, 241–251 (1997)

    Google Scholar 

  9. Harcourt, A. H. Biogeographic relationships of primates on South-East Asian islands. Glob. Ecol. Biogeogr. 8, 55–61 (1999)

    Article  Google Scholar 

  10. Whitman, W. B., Coleman, D. C. & Wiebe, W. J. Prokaryotes: The unseen majority. Proc. Natl Acad. Sci. USA 95, 6578–6583 (1998)

    Article  ADS  CAS  Google Scholar 

  11. Baas-Becking, L. G. M. Geologie of Inleiding Tot de Milieukunde (W. P. Van Stockum & N. V. Zoon, The Hague, The Netherlands, 1934)

    Google Scholar 

  12. Bertness, M. D. The Ecology of Atlantic Shorelines 313–376 (Sinauer Associates, Sunderland, Massachusetts, 1999)

    Google Scholar 

  13. Tyson, G. W. et al. Community structure and metabolism through reconstruction of microbial genomes from the environment. Nature 428, 37–43 (2004)

    Article  ADS  CAS  Google Scholar 

  14. Harte, J., McCarthy, S., Taylor, K., Kinzig, A. & Fischer, M. L. Estimating species–area relationships from plot to landscape scale using species spatial-turnover data. Oikos 86, 45–54 (1999)

    Article  Google Scholar 

  15. Torsvik, V., Goksoyr, J. & Daae, F. L. High diversity in DNA of soil bacteria. Appl. Environ. Microbiol. 56, 782–787 (1990)

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Stackebrandt, E. & Goebel, B. M. Taxonomic note: A place for DNA–DNA reassociation and 16S rRNA sequence analysis in the present species definition in bacteriology. Int. J. Syst. Bacteriol. 44, 846–849 (1994)

    Article  CAS  Google Scholar 

  17. Burke, D., Hamerlynck, E. & Hahn, D. Interactions among plant species and microorganisms in salt marsh sediments. Appl. Environ. Microbiol. 68, 1157–1164 (2002)

    Article  CAS  Google Scholar 

  18. Rossello-Mora, R. & Amann, R. The species concept for prokayotes. FEMS Microbiol. Rev. 25, 39–67 (2001)

    Article  CAS  Google Scholar 

  19. Peitinger, M., Bergamini, A. & Schmid, B. Species–area relationships and nestedness of four taxonomic groups in fragmented wetlands. Basic Appl. Ecol. 4, 385–394 (2003)

    Article  Google Scholar 

  20. Whitaker, R. J., Grogan, D. W. & Taylor, J. W. Geographic barriers isolate endemic populations of hyperthermophilic archea. Science 301, 976–978 (2003)

    Article  ADS  CAS  Google Scholar 

  21. Roberts, M. S. & Cohan, F. M. Recombination and migration rates in natural-populations of Bacillus subtilis and Bacillus mojavensis. Evolution 49, 1081–1094 (1995)

    Article  Google Scholar 

  22. McCaig, A. E., Embley, T. M. & Prosser, J. I. Molecular analysis of enrichment cultures of marine ammonia oxidizers. FEMS Microbiol. Lett. 120, 363–367 (1994)

    Article  CAS  Google Scholar 

  23. Qiu, X. et al. Evaluation of PCR-generated chimeras, mutations, and heteroduplexes with 16S rRNA gene-based cloning. Appl. Environ. Microbiol. 67, 880–887 (2001)

    Article  CAS  Google Scholar 

  24. Maidak, B. L. et al. The RDP-II (Ribosomal Database Project). Nucleic Acids Res. 29, 173–174 (2001)

    Article  ADS  CAS  Google Scholar 

  25. Ludwig, W. et al. ARB: a software environment for sequence data. Nucleic Acids Res. 32, 1363–1371 (2004)

    Article  CAS  Google Scholar 

  26. Schloss, P. D. & Handelsman, J. Introducing DOTUR, a computer program for defining operational taxonomic units and estimating species richness. 〈http://www.plantpath.wisc.edu/fac/joh/dotur.htmlAppl. Environ. Microbiol. (in the press)

  27. Magurran, A. E. Measuring Biological Diversity 175–176 (Blackwell, 2004)

    Google Scholar 

  28. Clarke, K. R. & Warwick, R. M. Change in Marine Communities: an Approach to Statistical Analysis and Interpretation 2.3, 11.8–11.11 (PRIMER-E, Plymouth Marine Laboratory, 2001)

    Google Scholar 

  29. Legendre, P. & Legendre, L. Numerical Ecology 33–47 (Elsevier Science B. V., Amsterdam, 1998)

    MATH  Google Scholar 

Download references

Acknowledgements

We are grateful to C. Anderson, H. P. Horz, A. Martiny, S. Reddy, members of M. Bertness' laboratory at Brown University and K. Nusslein's laboratory at the University of Massachusetts, Amherst for their technical assistance. We thank J. Green, D. Ackerly, P. Ehrlich, D. Relman and D. Petrov for comments on a previous draft of this manuscript. We also thank E. Bathgate, the American Association of University Women, and the National Science Foundation for their support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Claire Horner-Devine.

Ethics declarations

Competing interests

The authors declare that they have no competing financial interests.

Supplementary information

Supplementary Information Methods 1

Describes sampling design and includes Supplementary Information Figure S1. (PDF 45 kb)

Supplementary Information Methods 2

Describes the statistical analyses in more detail. This includes Supplementary Information Figure S2, which shows the relationship between pairwise geographic distance between samples and similarity in community composition for bacteria considered at 99%, 97% and 95% similarity. (PDF 79 kb)

Supplementary Information Methods 3

This file describes how data included in Figure 2 were selected. (PDF 126 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Horner-Devine, M., Lage, M., Hughes, J. et al. A taxa–area relationship for bacteria. Nature 432, 750–753 (2004). https://doi.org/10.1038/nature03073

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nature03073

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing