Evidence map›Paper›PMID 40332868›Full record

ArticleInsects2025

Molecular Diversity of Three Forensically Relevant Dipterans from Cadavers in Lahore, Pakistan.

Atif Adnan, Sundus Mona, Allah Rakha, Shahid Nazir, Hongbo Wang, Fu Ren

Abstract read
In one paragraph

Article in Insects, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Atif AdnanDepartment of Anthropology and Ethnology, Institute of Anthropology, School of Sociology and Anthropology, Xiamen University, Xiamen 361000, China.ORCID 0000-0003-4537-0059
Sundus MonaDepartment of Forensic Sciences, University of Health Sciences, Lahore 54600, Pakistan.
Allah RakhaDepartment of Forensic Sciences, University of Health Sciences, Lahore 54600, Pakistan.
Shahid NazirDepartment of Forensic Sciences, University of Health Sciences, Lahore 54600, Pakistan.
Hongbo WangDepartment of Human Anatomy, School of Basic Medicine, Shenyang Medical College, Shenyang 110034, China.ORCID 0000-0002-5030-5529
Fu RenDepartment of Human Anatomy, School of Basic Medicine, Shenyang Medical College, Shenyang 110034, China.ORCID 0000-0003-4432-6320

Funding

Department of Science and Technology of Liaoning province PR China (2024021179-JH2/1019)
6 · The paper itself

Abstract

Molecular diversity, which reflects variation in species abundance and genetic structure, plays a pivotal role in forensic entomology by enabling the accurate identification of insect evidence through tools such as DNA barcoding. In Pakistan, the absence of trained forensic entomologists and limited research on insect biodiversity hinder the effective use of entomological evidence in criminal investigations. Traditional morphological identification methods are insufficient for resolving complex forensic cases, particularly when dealing with immature insect stages. This highlights the urgent need for molecular approaches, such as DNA barcoding, to enhance species identification and genetic analysis of forensically relevant insects. This study uniquely focuses on evaluating the utility of a 658 bp fragment of the mitochondrial cytochrome oxidase subunit 1 (CO1) gene for identifying dipteran species collected from cadavers in Lahore, Pakistan. The primary goal was to identify forensically relevant insect species, assess their genetic diversity and population structure, and compare these findings with global data to contextualize the results within forensic entomology. Three blow fly species were identified:

Indexed as

DNA barcodingforensic entomologymolecular diversitypostmortem intervalspecies identification

Identifiers

PMID40332868
PMCPMC12027971

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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.