@article{PAR00010527,
  title = {{P}neumonia pathogen detection and microbial interactions in polymicrobial episodes},
  author = {{B}ousbia, {S}. and {R}aoult, {D}idier and {L}a {S}cola, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ecent reports show that microbial communities associated with respiratory infections, such as pneumonia and cystic fibrosis, are more complex than expected. {M}ost of these communities are polymicrobial and might comprise microorganisms originating from several diverse biological and ecological sources. {M}oreover, unexpected bacteria in the etiology of these respiratory infections have been increasingly identified. {T}hese findings were established with the use of efficient microbiological diagnostic tools, particularly molecular tools based on common gene amplification, followed by cloning and sequencing approaches, which facilitated the identification of the polymicrobial flora. {S}imilarly, recent investigations reported that microbial interactions might exist between species in polymicrobial communities, including typical pneumonia pathogens, such as {P}seudomonas aeruginosa and {C}andida albicans. {H}ere, we review recent tools for microbial diagnosis, in particular, of intensive care unit pneumonia and the reported interactions between microbial species that have primarily been identified in the etiology of these infections.},
  keywords = {microbial diagnosis ; pneumonia ; species interaction},
  booktitle = {},
  journal = {{F}uture {M}icrobiology},
  volume = {8},
  numero = {5},
  pages = {633--660},
  ISSN = {1746-0913},
  year = {2013},
  DOI = {10.2217/fmb.13.26},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00010527},
}