Evidence map›Paper›PMID 37222900›Full record

ArticleForensic science, medicine, and pathology2024

Simplified COI barcoding of blow, flesh, and scuttle flies encountered in medicolegal investigations.

Sam C Kwiatkowski, Michelle R Sanford, Michael Donley, Katherine Welch, Roger Kahn

Abstract read
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In one paragraph

Article in Forensic science, medicine, and pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Sam C KwiatkowskiHarris County Institute of Forensic Sciences, 1861 Old Spanish Trail, Houston, TX, 77054, USA. samkwiatkowski@gmail.com.ORCID 0000-0002-3821-8158
Michelle R SanfordHarris County Institute of Forensic Sciences, 1861 Old Spanish Trail, Houston, TX, 77054, USA.
Michael DonleyHarris County Institute of Forensic Sciences, 1861 Old Spanish Trail, Houston, TX, 77054, USA.
Katherine WelchHarris County Institute of Forensic Sciences, 1861 Old Spanish Trail, Houston, TX, 77054, USA.
Roger KahnHarris County Institute of Forensic Sciences, 1861 Old Spanish Trail, Houston, TX, 77054, USA.

Funding

National Institute of Justice 2019-DU-BX-0022
6 · The paper itself

Abstract

Accurate insect identification is critical to the estimation of time of colonization (TOC) and post-mortem interval (PMI) in medicolegal death investigations. DNA testing is advantageous because it enables the identification of immature specimens that may not be identified based on morphology alone. We describe here a simplified DNA barcoding method for identifying relevant species that may be implemented by forensic genetics laboratories. A cytochrome oxidase (COI) fragment is analyzed after PCR amplification with a single primer set. The method is effective for many species commonly encountered in death investigations in the USA: members of blowfly genera Calliphora, Chrysomya, Cochliomyia, Lucilia, and Phormia; members of the flesh fly genera Blaesoxipha, Oxysarcodexia, Ravinia, and Sarcophaga; and the scuttle fly Megaselia scalaris. We tested the method on specimens with verified identifications and used it to build a collection of reference sequences from specimens collected in Harris County, Texas. We show here the correct identification of larvae, pupae, and pupal exuviae from the medicolegal casework.

Indexed as

DipteraDNA Barcoding, TaxonomicElectron Transport Complex IVForensic EntomologyLarvaPolymerase Chain ReactionPupaAnimalsHumansPostmortem ChangesSequence Analysis, DNAElectron Transport Complex IVDNA barcodingDNA sequencingForensic entomologyMedicolegal investigationPost-mortem interval

Identifiers

What OpenQuestion holds

Textmetadata
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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.