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Fine-scale phylogenetic architecture of a complex bacterial community

Author

Listed:
  • Silvia G. Acinas

    (Massachusetts Institute of Technology)

  • Vanja Klepac-Ceraj

    (Massachusetts Institute of Technology)

  • Dana E. Hunt

    (Massachusetts Institute of Technology)

  • Chanathip Pharino

    (Massachusetts Institute of Technology)

  • Ivica Ceraj

    (Bugaco)

  • Daniel L. Distel

    (University of Maine)

  • Martin F. Polz

    (Massachusetts Institute of Technology)

Abstract

Although molecular data have revealed the vast scope of microbial diversity1, two fundamental questions remain unanswered even for well-defined natural microbial communities: how many bacterial types co-exist, and are such types naturally organized into phylogenetically discrete units of potential ecological significance? It has been argued that without such information, the environmental function, population biology and biogeography of microorganisms cannot be rigorously explored2. Here we address these questions by comprehensive sampling of two large 16S ribosomal RNA clone libraries from a coastal bacterioplankton community. We show that compensation for artefacts generated by common library construction techniques reveals fine-scale patterns of community composition. At least 516 ribotypes (unique rRNA sequences) were detected in the sample and, by statistical extrapolation, at least 1,633 co-existing ribotypes in the sampled population. More than 50% of the ribotypes fall into discrete clusters containing less than 1% sequence divergence. This pattern cannot be accounted for by interoperon variation, indicating a large predominance of closely related taxa in this community. We propose that such microdiverse clusters arise by selective sweeps and persist because competitive mechanisms are too weak to purge diversity from within them.

Suggested Citation

  • Silvia G. Acinas & Vanja Klepac-Ceraj & Dana E. Hunt & Chanathip Pharino & Ivica Ceraj & Daniel L. Distel & Martin F. Polz, 2004. "Fine-scale phylogenetic architecture of a complex bacterial community," Nature, Nature, vol. 430(6999), pages 551-554, July.
  • Handle: RePEc:nat:nature:v:430:y:2004:i:6999:d:10.1038_nature02649
    DOI: 10.1038/nature02649
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    Cited by:

    1. Seungchul Baek & Junyong Park, 2022. "A computationally efficient approach to estimating species richness and rarefaction curve," Computational Statistics, Springer, vol. 37(4), pages 1919-1941, September.
    2. Shiben Zhu & Juken Hong & Teng Wang, 2024. "Horizontal gene transfer is predicted to overcome the diversity limit of competing microbial species," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

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