Unknown

Dataset Information

Partitioning core and satellite taxa from within cystic fibrosis lung bacterial communities.


ABSTRACT: Cystic fibrosis (CF) patients suffer from chronic bacterial lung infections that lead to death in the majority of cases. The need to maintain lung function in these patients means that characterising these infections is vital. Increasingly, culture-independent analyses are expanding the number of bacterial species associated with CF respiratory samples; however, the potential significance of these species is not known. Here, we applied ecological statistical tools to such culture-independent data, in a novel manner, to partition taxa within the metacommunity into core and satellite species. Sputa and clinical data were obtained from 14 clinically stable adult CF patients. Fourteen rRNA gene libraries were constructed with 35 genera and 82 taxa, identified in 2139 bacterial clones. Shannon-

SUBMITTER: van der Gast CJ 

PROVIDER: S-EPMC3105771 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature