Evidence map›Paper›PMID 36569070›Full record

ArticleFrontiers in microbiology2022

The devil is in the details: Variable impacts of season, BMI, sampling site temperature, and presence of insects on the post-mortem microbiome.

Aaron M Tarone, Allison E Mann, Yan Zhang, Roxanne R Zascavage, Elizabeth A Mitchell, Edgar Morales, Travis W Rusch, Michael S Allen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 11 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

8 authors at 4 institutions in 1 country.

Aaron M TaroneDepartment of Entomology, Texas A&M University, College Station, TX, United States.
Allison E MannDepartment of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, United States.
Yan ZhangDepartment of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, United States.
Roxanne R ZascavageDepartment of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, United States.
Elizabeth A MitchellDepartment of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, United States.
Edgar MoralesDepartment of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, United States.
Travis W RuschDepartment of Entomology, Texas A&M University, College Station, TX, United States.
Michael S AllenDepartment of Microbiology, Immunology, and Genetics, University of North Texas Health Science Center, Fort Worth, TX, United States.
University of North Texas · USUniversity of North Texas Health Science Center · USCenter for Grain and Animal Health Research · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-mortem microbial communities are increasingly investigated as proxy evidence for a variety of factors of interest in forensic science. The reported predictive power of the microbial community to determine aspects of the individual's post-mortem history (e.g., the post-mortem interval) varies substantially among published research. This observed variation is partially driven by the local environment or the individual themselves. In the current study, we investigated the impact of BMI, sex, insect activity, season, repeat sampling, decomposition time, and temperature on the microbial community sampled from donated human remains in San Marcos, TX using a high-throughput gene-fragment metabarcoding approach. Materials and methods: In the current study, we investigated the impact of BMI, sex, insect activity, season, repeat sampling, decomposition time, and temperature on the microbial community sampled from donated human remains in San Marcos, TX using a high-throughput gene-fragment metabarcoding approach. Results: We found that season, temperature at the sampling site, BMI, and sex had a significant effect on the post-mortem microbiome, the presence of insects has a homogenizing influence on the total bacterial community, and that community consistency from repeat sampling decreases as the decomposition process progresses. Moreover, we demonstrate the importance of temperature at the site of sampling on the abundance of important diagnostic taxa. Conclusion: The results of this study suggest that while the bacterial community or specific bacterial species may prove to be useful for forensic applications, a clearer understanding of the mechanisms underpinning microbial decomposition will greatly increase the utility of microbial evidence in forensic casework.

Indexed as

decompositionforensic microbiologymetataxonomicsnecrobiomepost-mortem microbiome

Identifiers

PMID36569070
PMCPMC9768039
OpenAlexW4311709460

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.