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. 2012 Dec 26;4(1):e00428-12.
doi: 10.1128/mBio.00428-12.

De novo assembly of the Pneumocystis jirovecii genome from a single bronchoalveolar lavage fluid specimen from a patient

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De novo assembly of the Pneumocystis jirovecii genome from a single bronchoalveolar lavage fluid specimen from a patient

Ousmane H Cissé et al. mBio. .

Abstract

Pneumocystis jirovecii is a fungus that causes severe pneumonia in immunocompromised patients. However, its study is hindered by the lack of an in vitro culture method. We report here the genome of P. jirovecii that was obtained from a single bronchoalveolar lavage fluid specimen from a patient. The major challenge was the in silico sorting of the reads from a mixture representing the different organisms of the lung microbiome. This genome lacks virulence factors and most amino acid biosynthesis enzymes and presents reduced GC content and size. Together with epidemiological observations, these features suggest that P. jirovecii is an obligate parasite specialized in the colonization of human lungs, which causes disease only in immune-deficient individuals. This genome sequence will boost research on this deadly pathogen.

Importance: Pneumocystis pneumonia is a major cause of mortality in patients with impaired immune systems. The availability of the P. jirovecii genome sequence allows new analyses to be performed which open avenues to solve critical issues for this deadly human disease. The most important ones are (i) identification of nutritional supplements for development of culture in vitro, which is still lacking 100 years after discovery of the pathogen; (ii) identification of new targets for development of new drugs, given the paucity of present treatments and emerging resistance; and (iii) identification of targets for development of vaccines.

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Figures

FIG 1
FIG 1
Maximum likelihood phylogeny of P. jirovecii and other fungi from alignment of 458 concatenated orthologs. Rhizopus delemar was used as the outgroup. The same tree topology was obtained using the maximum parsimony method.

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References

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