Evidence map›Paper›PMID 42041258›Full record

ArticlemSystems2026

Insects shape the cadaver decomposition microbiome and postmortem interval estimation accuracy.

Victoria Nieciecki, Valerie A Seitz, Zachary M Burcham, Kristen Otto, Kalen Cantrell, Jonathan Kirkland, Gail Ackermann, Rob Knight, Aaron Lynne, Jessica L Metcalf and 1 more

Abstract read
In one paragraph

Article in mSystems, 2026. 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

11 authors.

Victoria NiecieckiDepartment of Animal Sciences, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0002-1891-5909
Valerie A SeitzDepartment of Animal Sciences, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0003-0627-3336
Zachary M BurchamDepartment of Animal Sciences, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0003-1600-9643
Kristen OttoDepartment of Animal Sciences, Colorado State University, Fort Collins, Colorado, USA.
Kalen CantrellDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA.
Jonathan KirklandBioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, USA.
Gail AckermannDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Rob KnightDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-0975-9019
Aaron LynneDepartment of Biological Sciences, Sam Houston State University, Huntsville, Texas, USA.
Jessica L MetcalfDepartment of Animal Sciences, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0001-8374-8046
Sibyl BucheliDepartment of Biological Sciences, Sam Houston State University, Huntsville, Texas, USA.ORCID 0000-0002-4028-7224

Funding

Predoctoral Training in Quantitative Cell & Molecular BiologyT32GM132057 · NIGMS · COLORADO STATE UNIVERSITY · PI Karen Marie Dobos, Brian Munsky · 2019 to 2026
$2.9M
Graduate Training Program in BioinformaticsT32GM139790 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAFNA, VINEET, GAASTERLAND, THERESA · 2021 to 2025
$2.1M
National Institute of Justice 2019-DU-BX-0025NIGMS NIH HHS T32 GM139790NIH HHS T32GM132057
6 · The paper itself

Abstract

The breakdown and recycling of carrion is a crucial ecological process that largely relies on a community of necrophagous insects and microbes. Recent work has shown that a specialized microbial network, likely dispersed throughout the environment by insects, assembles during cadaver decomposition to break down flesh regardless of climate and geography. Because of their broad distribution and successional nature, decomposer microbes have been used in machine learning models to predict the postmortem interval (PMI) of human remains, an important contribution to the field of forensics. How factors such as an indoor environment, which alters insect activity, impact the composition of microbial communities decomposing human remains is unclear. Here, we investigate the effects of enclosed shelter on microbial community assembly and successional patterns during human decomposition and provide important considerations for PMI modeling. Compared to outdoor cadavers, we show that indoor cadavers experienced delayed colonization of key decomposer microbes over the course of decomposition due to restricted insect access. Consequently, machine learning models trained on outdoor cadavers frequently underestimated the PMI of cadavers decomposing indoors. Delayed colonization by blow fly maggots (Diptera: Calliphoridae) was correlated with higher PMI prediction errors, suggesting that insects are an important source of microbial decomposers that drive PMI model predictions. Incorporating microbial data from indoor cadavers and insect activity into PMI models significantly improved prediction capabilities for both indoor and outdoor decomposition environments. Ultimately, we demonstrate the important role insects play in the maintenance and distribution of microbes that help to recycle vertebrate remains.IMPORTANCEMicrobes are critical for the decomposition and recycling of organic matter. Recently, microbiome-based models have shown promising performance in estimating the postmortem interval (PMI). However, many deaths occur indoors, yet no studies have investigated the impact of enclosed shelter on the cadaver microbiome in a controlled setting. Here, cadavers were decomposed indoors, and we found that blow fly maggots serve as an important source of decomposer taxa that significantly alter the cadaver microbiome following infestation. Notably, PMI estimation models trained on outdoor data sets failed to accurately predict the PMI when insect colonization was delayed. We show that incorporating 16S rRNA amplicon data from cadavers decomposing indoors, along with environmental variables, significantly improves PMI estimates, suggesting a microbiome-based forensic tool may be feasible across decomposition environments. Importantly, this research demonstrates the critical ecological role insects play in the dispersal of specialized microbes that are involved in the breakdown and recycling of vertebrate remains.

Indexed as

CalliphoridaeMicrobiotaPostmortem ChangesAnimalsBacteriaCadaverDipteraForensic EntomologyHumansMachine Learningblow fliesbuilt environmentCalliphoridaedecompositionIgnatzschineriaindoorslarvaemaggotsmicrobiome forensicsThiopseudomonas

Identifiers

PMID42041258
PMCPMC13185568

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.