Evidence map›Paper›PMID 38147285›Full record

ReviewForensic science, medicine, and pathology2024

Stepping towards pollen DNA metabarcoding: A breakthrough in forensic sciences.

Qandeel Zaineb Wasti, Muhammad Farooq Sabar, Abeera Farooq, Muhammad Umer Khan

Abstract readReview
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In one paragraph

Review 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. 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

4 authors.

Qandeel Zaineb WastiCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Muhammad Farooq SabarCentre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan. farooq.camb@pu.edu.pk.
Abeera FarooqPunjab University College of Pharmacy, University of the Punjab, Lahore, Pakistan.
Muhammad Umer KhanInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan. muhammad.umer4@mlt.uol.edu.pk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review is engaged in determining the capability of plant pollen as a significant source of evidence for the linkage between suspects and crime location in forensic sciences. Research and review articles were collected from Google Scholar, the Web of Science, and PubMed. Articles were searched using specific keywords such as "Forensic Palynology," "Pollen metabarcoding," "Plant forensics," and "Pollen" AND "criminal investigation." Boolean logic was also utilized to narrow the articles to be included in this review article. Through the literature and exploratory research, it has been observed in the current study that with advancements in technology, forensic palynology has found its application in creating an association between the crime scene and suspected individuals to have a link to it, as pollen DNA is a long-lasting investigative tool that can effectively help forensic investigations. Moreover, the literature shows that the DNA of pollen and spores has helped forensic scientists link suspects to crime scenes, and the introduction of pollen DNA metabarcoding tools has eased the efforts of palynologists to analyze pollen DNA. The introduction of DNA metabarcoding techniques to analyze pollen from plants has helped identify the geological locations of the plants and ultimately identify the culprit.

Indexed as

DNA Barcoding, TaxonomicDNA, PlantForensic SciencesPollenDNA FingerprintingHumansDNA, PlantDNA metabarcodingForensic palynologyNext-generation sequencingPlant forensicsPollenPollen distributionTaxa classification

Identifiers

What OpenQuestion holds

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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.