Evidence map›Paper›PMID 31555993›Full record

ArticleJournal of microbiology (Seoul, Korea)2019

Preliminary study on microeukaryotic community analysis using NGS technology to determine postmortem submersion interval (PMSI) in the drowned pig.

Cheol-Ho Hyun, Heesoo Kim, Seongho Ryu, Won Kim

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In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 9 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

4 authors at 3 institutions in 1 country.

Cheol-Ho HyunDepartment of forensic investigation, Jeonbuk Provincial Police Agency, Jeonju zip-code, Republic of Korea.
Heesoo KimSchool of Biological Sciences, Seoul National University, Seoul zip-code, Republic of Korea.
Seongho RyuSoonchunhyang Institute of Med-Bio Sciences (SIMS), Soonchunhyang University, Cheonan zip-code, Republic of Korea. ryu@sch.ac.kr.
Won KimSchool of Biological Sciences, Seoul National University, Seoul zip-code, Republic of Korea. wonkim@plaza.snu.ac.kr.
Seoul National University · KRJeonbuk Development Institute · KRSoonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

while several methods for determining postmortem submersion interval (PMSI) in drowning cases have been suggested, the estimation of PMSI remains difficult. Next-generation sequencing (NGS) technology enables simultaneous identification of multiple taxa from environmental samples. Although NGS has been applied to estimate time since death, this application has been mainly focused on terrestrial cases. As a case study, we investigated microeukaryotic biodiversity and community structures in submerged car bonnet and drowned pig using NGS technology. NGS analysis showed that the microeukaryotic biodiversity in pig carcass was relevantly lower than that in car bonnet. NGS results also revealed that water molds and algae were related to decomposition. Relative abundances of Filobasidium, Achlya, Saprolegnia, Hydrodicton, Lobosphaera, and Scenedesmus varied with decomposition period. This data indicated that these taxa might be useful as good indicators to estimate PMSI. This study showed microeukaryotic community analysis using NGS technology may help solve drowning cases in forensic investigation.

Indexed as

Postmortem ChangesAnimalsBiodiversityDNADrowningEukaryotaForensic MedicineHigh-Throughput Nucleotide SequencingRepublic of KoreaSwineTime FactorsDNAdrowningmicroeukaryotic communitymicroeukaryotic diversitynext-generation sequencing technologypostmortem submersion interval

Identifiers

PMID31555993
OpenAlexW2977186451

What OpenQuestion holds

Textmetadata
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.