2022
DOI: 10.1111/1556-4029.15029
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Design and optimization of a 16S microbial qPCR multiplex for the presumptive identification of feces, saliva, vaginal and menstrual secretions

Abstract: Molecular methods for body fluid identification have been extensively researched in the forensic community over the last decade, mostly focusing on RNA-based methods. Microbial DNA analysis has long been used for forensic applications, such as postmortem interval estimations, but only recently has it been applied to body fluid identification. High-throughput sequencing of the 16S ribosomal RNA gene by previous research groups revealed that microbial signatures and abundances vary across human body fluids at th… Show more

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Cited by 7 publications
(11 citation statements)
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“…Parker et al observed ~2‐fold to ~240‐fold drop in sensitivity when changing from multiple duplex assays in detecting respiratory viral pathogens to a multiplex platform 30 . Many publications are available to guide the optimisation of multiplex PCR or qPCR 35–37 . However, their primary focus on microbial pathogen detection represents a different context (e.g., microbial pathogen can be cultured to higher titre before extraction), and hence, not all of their considerations are specific to the context of doping control.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Parker et al observed ~2‐fold to ~240‐fold drop in sensitivity when changing from multiple duplex assays in detecting respiratory viral pathogens to a multiplex platform 30 . Many publications are available to guide the optimisation of multiplex PCR or qPCR 35–37 . However, their primary focus on microbial pathogen detection represents a different context (e.g., microbial pathogen can be cultured to higher titre before extraction), and hence, not all of their considerations are specific to the context of doping control.…”
Section: Resultsmentioning
confidence: 99%
“…Parker et al observed $2-fold to $240-fold drop in sensitivity when changing from multiple duplex assays in detecting respiratory viral pathogens to a multiplex platform 30. Many publications are available to guide the optimisation of multiplex PCR or qPCR [35][36][37]. F I G U R E 1 The qPCR efficiency of each transgene in the multiplex qPCR assay.…”
mentioning
confidence: 99%
“…JMP® v14.2.0 (SAS Institute Inc., Cary, NC, USA) was used to analyze data distributions and subsequently perform a non‐parametric Steel‐Dwass test on the ∆Cq data ( α = 0.05). The ∆Cq values were added to the previously reported 16S triplex dataset [17], and all data were randomly split into training and validation sets (70% and 30%, respectively) using the sample() function. A new classification regression tree (CART) model was generated using the rpart package in R version 4.1.1 (R foundation for Statistical Computing, Vienna, Austria).…”
Section: Methodsmentioning
confidence: 99%
“…Previously, a 16S qPCR triplex that amplifies that 16S rRNA gene of Lactobacillus crispatus (L. crispatus), Bacteroides uniformis (B. uniformis), and Streptococcus salivarius (S. salivarius) to classify vaginal/menstrual secretions, feces, and saliva, respectively, was developed and evaluated [17]. This assay was based on the findings from a large-scale high-throughput sequencing analysis study that identified the above microbial DNA as consistently observed across populations, genders (where appropriate) and ages [18].…”
Section: Introductionmentioning
confidence: 99%
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