Evidence map›Paper›PMID 35352345›Full record

ArticleJournal of forensic sciences2022

Design and optimization of a 16S microbial qPCR multiplex for the presumptive identification of feces, saliva, vaginal and menstrual secretions.

Carolyn Lewis, Sarah J Seashols-Williams

Open access · hybridAbstract read
In one paragraph

Article in Journal of forensic sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Carolyn LewisIntegrative Life Sciences Doctoral Program, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0000-0002-8251-1095
Sarah J Seashols-WilliamsDepartment of Forensic Science, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0000-0003-0093-8261
Virginia Commonwealth University · US

Funding

National Institute of Justice 2020-R2-CX-0031
6 · The paper itself

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 the genus and/or species taxonomic level. Since quantitative PCR is still the current technique used in forensic DNA analysis, the purpose of this study was to design a qPCR multiplex targeting the 16S gene of Bacteroides uniformis, Streptococcus salivarius, and Lactobacillus crispatus that can distinguish between feces, saliva, and vaginal/menstrual secretions, respectively. Primers and probes were designed at the species level because these bacteria are highly abundant within their respective fluid. The validated 16S triplex was evaluated in DNA extracts from thirty donors of each body fluid. A classification regression tree model resulted in 96.5% classification accuracy of the population data, which demonstrates the ability of this 16S triplex to presumptively identify these fluids with high confidence at the quantification step of the forensic workflow using minimal input volume of DNA extracted from evidentiary samples.

Indexed as

SalivaVaginaDNA PrimersFecesFemaleHumansRNA, Ribosomal, 16SDNA PrimersRNA, Ribosomal, 16S16S ribosomal RNA geneBacteroides uniformisclassification regression tree modelforensic serologyLactobacillus crispatuspresumptive body fluid identificationqPCR multiplex validationquantitative polymerase chain reaction and qPCRStreptococcus salivarius

Identifiers

PMID35352345
PMCPMC9310585
OpenAlexW4220836055

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.