2022
DOI: 10.1007/s40291-022-00595-1
|View full text |Cite|
|
Sign up to set email alerts
|

Optimization of a Quantitative PCR Methodology for Detection of Aspergillus spp. and Rhizopus arrhizus

Abstract: Introduction Multiplex quantitative polymerase chain reaction (qPCR) methods for the detection of Aspergillus spp. based only on SYBR Green and melting curve analysis of PCR products are difficult to develop because most targets are located within ITS regions. The aim of this study was to adapt our previously developed methodology based on a multiplex PCR assay coupled with GeneScan analysis to provide a qPCR method. Methods A SYBR Green-based real-time PCR assay was optimized to detect A. fumigatus, A. flavus… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

1
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 62 publications
1
3
0
Order By: Relevance
“…The sensitivity and PPV of the specific SYBR Green-based PCR for the direct detection of mucormycosis from clinical samples were mostly concordant with the results of previous studies on the detection of Mucorales using multiplex real-time PCR in tissue specimens (31). As evidenced in our results, with the specific primers, the probability of misleading or unintended amplification concerning the usage of pan-fungal primers in tissue specimens particularly those with mixed infections or those collected from unsterile sites will be aborted (32). So, achieving a melting curve/amplification band in a molecular algorithm using Mucorales-specific primers in tissue biopsy could ascertain the diagnosis provided that both negative and positive yield the appropriate results (17).…”
Section: Discussionsupporting
confidence: 90%
“…The sensitivity and PPV of the specific SYBR Green-based PCR for the direct detection of mucormycosis from clinical samples were mostly concordant with the results of previous studies on the detection of Mucorales using multiplex real-time PCR in tissue specimens (31). As evidenced in our results, with the specific primers, the probability of misleading or unintended amplification concerning the usage of pan-fungal primers in tissue specimens particularly those with mixed infections or those collected from unsterile sites will be aborted (32). So, achieving a melting curve/amplification band in a molecular algorithm using Mucorales-specific primers in tissue biopsy could ascertain the diagnosis provided that both negative and positive yield the appropriate results (17).…”
Section: Discussionsupporting
confidence: 90%
“…Four TaqMan probes were used in individual reactions to detect four different fungal pathogens, respectively. The TaqMan probes can be labeled with different reporter dyes, which allows multiplexing detection of two or more different pathogens in the same reaction 50–52 . In the future, the TaqMan probes, which hybridize to the ApMat target of C. cangyuanense , C. fructicola , C. gloeosporioides , and C. siamense , respectively, can be labeled with different reporter dyes and used in a multiplex reaction to detect four different pathogens of anthracnose on Chinese fir simultaneously to increase throughput.…”
Section: Discussionmentioning
confidence: 99%
“…Overall the use of qPCR based technics is highly recommended and encouraged for detecting Mucorales DNA, especially from serum (Rocchi et al, 2021 ). Mendonça et al ( 2022 ) developed a qPCR multiplex method for detecting R. arrhizus and four Aspergillus species. The qPCR is based on SYBR Green and a melting curve analysis.…”
Section: The High Priority Group From the Who Fpplmentioning
confidence: 99%
“…The qPCR is based on SYBR Green and a melting curve analysis. It enables the simultaneous diagnosis of these invasive filamentous fungi either from culture or plasma, even when a small amount of DNA is available (Mendonça et al, 2022 ).…”
Section: The High Priority Group From the Who Fpplmentioning
confidence: 99%