Evidence map›Paper›PMID 32639969›Full record

ArticlePloS one2020

Characterizing the postmortem human bone microbiome from surface-decomposed remains.

Alexandra L Emmons, Amy Z Mundorff, Sarah W Keenan, Jonathan Davoren, Janna Andronowski, David O Carter, Jennifer M DeBruyn

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
38.7field-weighted citation impact, top 1% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

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  8. Microbial genomics: a potential toolkit for forensic investigations.Forensic science, medicine, and pathology · 2025
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  16. KOMB: K-core based de novo characterization of copy number variation in microbiomes.Computational and structural biotechnology journal · 2022
    Article
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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 at 3 institutions in 1 country.

Alexandra L EmmonsDepartment of Anthropology, University of Tennessee, Knoxville, Tennessee, United States of America.ORCID 0000-0002-5637-105X
Amy Z MundorffDepartment of Anthropology, University of Tennessee, Knoxville, Tennessee, United States of America.
Sarah W KeenanDepartment of Geology and Geological Engineering, South Dakota School of Mines and Technology, Rapid City, South Dakota, United States of America.
Jonathan DavorenBode Cellmark Forensics, Lorton, Virginia, United States of America.
Janna AndronowskiDepartment of Anthropology, University of Tennessee, Knoxville, Tennessee, United States of America.ORCID 0000-0003-2279-6858
David O CarterDivision of Natural Sciences and Mathematics, Laboratory of Forensic Taphonomy, Forensic Sciences Unit, Chaminade University of Honolulu, Honolulu, Hawaii, United States of America.
Jennifer M DeBruynDepartment of Biosystems Engineering and Soil Science, University of Tennessee, Knoxville, Tennessee, United States of America.ORCID 0000-0002-2993-4144
University of Tennessee at Knoxville · USChaminade University of Honolulu · USSouth Dakota School of Mines and Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial colonization of bone is an important mechanism of postmortem skeletal degradation. However, the types and distributions of bone and tooth colonizing microbes are not well characterized. It is unknown if microbial communities vary in abundance or composition between bone element types, which could help explain differences in human DNA preservation. The goals of the present study were to (1) identify the types of microbes capable of colonizing different human bone types and (2) relate microbial abundances, diversity, and community composition to bone type and human DNA preservation. DNA extracts from 165 bone and tooth samples from three skeletonized individuals were assessed for bacterial loading and microbial community composition and structure. Random forest models were applied to predict operational taxonomic units (OTUs) associated with human DNA concentration. Dominant bacterial bone colonizers were from the phyla Proteobacteria, Actinobacteria, Firmicutes, Bacteroidetes, and Planctomycetes. Eukaryotic bone colonizers were from Ascomycota, Apicomplexa, Annelida, Basidiomycota, and Ciliophora. Bacterial loading was not a significant predictor of human DNA concentration in two out of three individuals. Random forest models were minimally successful in identifying microbes related to human DNA concentration, which were complicated by high variability in community structure between individuals and body regions. This work expands on our understanding of the types of microbes capable of colonizing the postmortem human skeleton and potentially contributing to human skeletal DNA degradation.

Indexed as

MicrobiotaAnthropologyAscomycotaAutopsyBacteroidetesBone and BonesDNAHumansMaleProteobacteriaRNA, Ribosomal, 16SToothDNARNA, Ribosomal, 16S

Identifiers

PMID32639969
PMCPMC7343130
OpenAlexW3041263217

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.