Application of a neutral community model to assess structuring of the human lung microbiome

mBio. 2015 Jan 20;6(1):e02284-14. doi: 10.1128/mBio.02284-14.

Abstract

DNA from phylogenetically diverse microbes is routinely recovered from healthy human lungs and used to define the lung microbiome. The proportion of this DNA originating from microbes adapted to the lungs, as opposed to microbes dispersing to the lungs from other body sites and the atmosphere, is not known. We use a neutral model of community ecology to distinguish members of the lung microbiome whose presence is consistent with dispersal from other body sites and those that deviate from the model, suggesting a competitive advantage to these microbes in the lungs. We find that the composition of the healthy lung microbiome is consistent with predictions of the neutral model, reflecting the overriding role of dispersal of microbes from the oral cavity in shaping the microbial community in healthy lungs. In contrast, the microbiome of diseased lungs was readily distinguished as being under active selection. We also assessed the viability of microbes from lung samples by cultivation with a variety of media and incubation conditions. Bacteria recovered by cultivation from healthy lungs represented species that comprised 61% of the 16S rRNA-encoding gene sequences derived from bronchoalveolar lavage samples.

Importance: Neutral distribution of microbes is a distinguishing feature of the microbiome in healthy lungs, wherein constant dispersal of bacteria from the oral cavity overrides differential growth of bacteria. No bacterial species consistently deviated from the model predictions in healthy lungs, although representatives of many of the dispersed species were readily cultivated. In contrast, bacterial populations in diseased lungs were identified as being under active selection. Quantification of the relative importance of selection and neutral processes such as dispersal in shaping the healthy lung microbiome is a first step toward understanding its impacts on host health.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Bacteria / classification
  • Bacteria / genetics
  • Bacteria / growth & development
  • Bacteria / isolation & purification*
  • Bronchoalveolar Lavage Fluid / microbiology
  • DNA, Bacterial / genetics
  • Humans
  • Lung / microbiology*
  • Microbiota*
  • Mouth / microbiology
  • Neural Networks, Computer
  • RNA, Ribosomal, 16S / genetics

Substances

  • DNA, Bacterial
  • RNA, Ribosomal, 16S