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Rapid PCR-single-strand conformation polymorphism method to differentiate and estimate relative abundance of Pneumocystis carinii special forms infecting rats.

ABSTRACT: A rapid method that uses PCR-single-strand conformation polymorphism analysis of the intron of the nuclear 26S rRNA gene was shown to differentiate the two Pneumocystis carinii special forms that infect rats, P. carinii f. sp. carinii and P. carinii f. sp. ratti. The method also provides a means for estimation of the relative abundance of the two special forms in the case of a coinfected rat. The results suggest that the method described will help to further standardize the immunosuppressed rat model of P. carinii infection and, thus, contribute to a better understanding of P. carinii infection in humans.

SUBMITTER: Nahimana A

PROVIDER: S-EPMC88588 | biostudies-literature | 2001 Dec

REPOSITORIES: biostudies-literature

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Rapid PCR-single-strand conformation polymorphism method to differentiate and estimate relative abundance of Pneumocystis carinii special forms infecting rats.

Nahimana A A Cushion M T MT Blanc D S DS Hauser P M PM

Journal of clinical microbiology 20011201 12

A rapid method that uses PCR-single-strand conformation polymorphism analysis of the intron of the nuclear 26S rRNA gene was shown to differentiate the two Pneumocystis carinii special forms that infect rats, P. carinii f. sp. carinii and P. carinii f. sp. ratti. The method also provides a means for estimation of the relative abundance of the two special forms in the case of a coinfected rat. The results suggest that the method described will help to further standardize the immunosuppressed rat ...[more]

PMID: 11724884

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Project description:Once regarded as an AIDS-defining illness, Pneumocystis pneumonia (PcP) is nowadays prevailing in immunocompromised HIV-negative individuals such as patients receiving immunosuppressive therapies or affected by primary immunodeficiency. Moreover, Pneumocystis clinical spectrum is broadening to non-severely-immunocompromised subjects who could be colonized by the fungus while remaining asymptomatic for PcP, thus being able to transmit the infection by airborne route to susceptible hosts. Although the taxonomical position of the Pneumocystis genus has been clarified, several aspects of its life cycle remain elusive such as its mode of proliferation within the alveolus or its ploidy level. As no long-term culture model exists to grow Pneumocystis organisms in vitro, an option was to use a model of immunosuppressed rat infected with Pneumocystis carinii and sort life cycle stage fractions using a high-through-put cytometer. Subsequently, ploidy levels of the P. carinii trophic and cystic form fractions were measured by flow cytometry. In the cystic form, eight contents of DNA were measured thus strengthening the fact that each mature cyst contains eight haploid spores. Following release, each spore evolves into a trophic form. The majority of the trophic form fraction was haploid in our study. Some less abundant trophic forms displayed two contents of DNA indicating that they could undergo (i) mating/fusion leading to a diploid status or (ii) asexual mitotic division or (iii) both. Even less abundant trophic forms with four contents of DNA were suggestive of mitotic divisions occurring following mating in diploid trophic forms. Of interest, was the presence of trophic forms with three contents of DNA, an unusual finding that could be related to asymmetrical mitotic divisions occurring in other fungal species to create genetic diversity at lower energetic expenses than mating. Overall, ploidy data of P. carinii life cycle stages shed new light on the complexity of its modes of proliferation.

Dataset Information

Rapid PCR-single-strand conformation polymorphism method to differentiate and estimate relative abundance of Pneumocystis carinii special forms infecting rats.

Publications

Rapid PCR-single-strand conformation polymorphism method to differentiate and estimate relative abundance of Pneumocystis carinii special forms infecting rats.

Similar Datasets

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