Evidence map›Paper›PMID 38971804›Full record

ArticleScientific data2024

16S rRNA, metagenomics and 2bRAD-M sequencing to decode human thanatomicrobiome.

Xin Huang, Jianye Zeng, Shilin Li, Ji Chen, Hongyan Wang, Chengtao Li, Suhua Zhang

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. [Advances in the Application of Forensic Microbiome Analysis in Tissue Source Inference].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Pooled it
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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

7 authors.

Xin Huang *Institute of Forensic Science, Fudan University, Shanghai, 200032, PR China.ORCID 0009-0009-6959-3610
Jianye Zeng *Institute of Forensic Science, Fudan University, Shanghai, 200032, PR China.
Shilin LiInstitute of Forensic Science, Fudan University, Shanghai, 200032, PR China.
Ji ChenInstitute of Forensic Science, Fudan University, Shanghai, 200032, PR China.
Hongyan WangThe State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, P.R. China.
Chengtao LiInstitute of Forensic Science, Fudan University, Shanghai, 200032, PR China. lichengtao@fudan.edu.cn.
Suhua ZhangInstitute of Forensic Science, Fudan University, Shanghai, 200032, PR China. zhang_suhua@fudan.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82072123National Natural Science Foundation of China (National Science Foundation of China) 82371896
6 · The paper itself

Abstract

Microorganisms are essential in the decomposition of corpses and play a significant role in forensic science. However, previous studies have primarily focused on animal remains, specifically the gut, skin, and burial environment. Insufficient research has been conducted on the microbiota of human cadavers, especially in cases of advanced decomposition and additional tissues, resulting in a lack of relevant reference data. In this study, the microbiota of eight cadavers at different stages of decomposition were detected using 16S rRNA, metagenomic sequencing and 2bRAD-M sequencing. Nine different sites, including oral and nasal cavities, heart, liver, spleen, lung, kidney, muscle and gut, were analysed and the efficacy of these methods was evaluated. The results showed that 16S rRNA sequencing was the most cost-effective method for the study of cadavers in the early stages of decomposition, whereas for cadaveric tissues in the late stages of decomposition, 2bRAD-M could overcome host contamination more effectively than metagenomic sequencing. This paves the way for new opportunities in data retrieval and promotes in-depth investigations into the microbiota.

Indexed as

CadaverMetagenomicsMicrobiotaRNA, Ribosomal, 16SHumansRNA, Ribosomal, 16S

Identifiers

PMID38971804
PMCPMC11227556

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.