A Real-time PCR assay for detection of low pneumocystis jirovecii levels
Author
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Ruiz Ruiz, Susana
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Ponce Olmos, Carolina Angélica
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Pesantes, Nicole
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Bustamante, Rebeca
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Gatti Orellana, Gianna
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San Martin, Viviana
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Gutiérrez, Mireya
Author
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Bórquez, Pamela
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Vargas Munita, Sergio Luis
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Magne, Fabien
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Calderón, Enrique J.
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Pérez Brocal, Vicente
Author
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Moya, Andrés
Admission date
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2022-12-05T21:06:50Z
Available date
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2022-12-05T21:06:50Z
Publication date
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2022
Cita de ítem
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Front. Microbiol. 12:787554
es_ES
Identifier
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10.3389/fmicb.2021.787554
Identifier
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https://repositorio.uchile.cl/handle/2250/189611
Abstract
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Here we report a new real-time PCR assay using SYBR Green which provides higher sensitivity for the specific detection of low levels of Pneumocystis jirovecii. To do so, two primer sets were designed, targeting the family of genes that code for the most abundant surface protein of Pneumocystis spp., namely the major surface glycoproteins (Msg), and the mitochondrial large subunit rRNA (mtLSUrRNA) multicopy gene, simultaneously detecting two regions. PCR methods are instrumental in detecting these low levels; however, current nested-PCR methods are time-consuming and complex. To validate our new real-time Msg-A/mtLSUrRNA PCR protocol, we compared it with nested-PCR based on the detection of Pneumocystis mitochondrial large subunit rRNA (mtLSUrRNA), one of the main targets used to detect this pathogen. All samples identified as positive by the nested-PCR method were found positive using our new real-time PCR protocol, which also detected P. jirovecii in three nasal aspirate samples that were negative for both rounds of nested-PCR. Furthermore, we read both rounds of the nested-PCR results for comparison and found that some samples with no PCR amplification, or with a feeble band in the first round, correlated with higher Ct values in our real-time Msg-A/mtLSUrRNA PCR. This finding demonstrates the ability of this new single-round protocol to detect low Pneumocystis levels. This new assay provides a valuable alternative for P. jirovecii detection, as it is both rapid and sensitive.
es_ES
Patrocinador
dc.description.sponsorship
ERANet LAC ELAC2014/HID-0254
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
CONICYT FONDECYT 1140412
Ministry of Science and Innovation, Spain (MICINN)
Spanish Government PID2019-105969GB-I00
Center for Forestry Research & Experimentation (CIEF) Prometeo/2018/A/133
European Commission
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Lenguage
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en
es_ES
Publisher
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Frontiers Media
es_ES
Type of license
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Attribution-NonCommercial-NoDerivs 3.0 United States
*
Type of license
dc.rights
Attribution-NonCommercial-NoDerivs 3.0 United States