Evidence map›Paper›PMID 27451445›Full record

ArticleApplied and environmental microbiology2016

Death Becomes Them: Bacterial Community Dynamics and Stilbene Antibiotic Production in Cadavers of Galleria mellonella Killed by Heterorhabditis and Photorhabdus spp.

Amanda C Wollenberg, Tanush Jagdish, Greg Slough, Megan E Hoinville, Michael S Wollenberg

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2016. 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
2.8field-weighted citation impact, top 10% 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, 29 citations in OpenAlex.

  1. Frontiers in cellular and infection microbiology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Screening and Molecular Identification of Bacteria from the Midgut ofInternational journal of molecular sciences · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
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

5 authors at 1 institution in 1 country.

Amanda C WollenbergBiology Department, Kalamazoo College, Kalamazoo, Michigan, USA.
Tanush JagdishBiology Department, Kalamazoo College, Kalamazoo, Michigan, USA.ORCID 0000-0003-0252-6201
Greg SloughChemistry Department, Kalamazoo College, Kalamazoo, Michigan, USA.
Megan E HoinvilleBiology Department, Kalamazoo College, Kalamazoo, Michigan, USA.
Michael S WollenbergBiology Department, Kalamazoo College, Kalamazoo, Michigan, USA mwollenb@kzoo.edu.
Kalamazoo College · US

Funding

FORSYTH POSTDOCTORAL TRAINING IN ORAL HEALTH RESEARCHT32DE007327 · NIDCR · FORSYTH INSTITUTE · PI VAN DYKE, THOMAS ELLIOTT · 2001 to 2015
$3.5M
NIDCR NIH HHS T32 DE007327
6 · The paper itself

Abstract

unlabelledInsect larvae killed by entomopathogenic nematodes are thought to contain bacterial communities dominated by a single bacterial genus, that of the nematode's bacterial symbiont. In this study, we used next-generation sequencing to profile bacterial community dynamics in greater wax moth (Galleria mellonella) larvae cadavers killed by Heterorhabditis nematodes and their Photorhabdus symbionts. We found that, although Photorhabdus strains did initially displace an Enterococcus-dominated community present in uninfected G. mellonella insect larvae, the cadaver community was not static. Twelve days postinfection, Photorhabdus shared the cadaver with Stenotrophomonas species. Consistent with this result, Stenotrophomonas strains isolated from infected cadavers were resistant to Photorhabdus-mediated toxicity in solid coculture assays. We isolated and characterized a Photorhabdus-produced antibiotic from G. mellonella cadavers, produced it synthetically, and demonstrated that both the natural and synthetic compounds decreased G. mellonella-associated Enterococcus growth, but not Stenotrophomonas growth, in vitro Finally, we showed that the Stenotrophomonas strains described here negatively affected Photorhabdus growth in vitro Our results add an important dimension to a broader understanding of Heterorhabditis-Photorhabdus biology and also demonstrate that interspecific bacterial competition likely characterizes even a theoretically monoxenic environment, such as a Heterorhabditis-Photorhabdus-parasitized insect cadaver. IMPORTANCE: Understanding, and eventually manipulating, both human and environmental health depends on a complete accounting of the forces that act on and shape microbial communities. One of these underlying forces is hypothesized to be resource competition. A resource that has received little attention in the general microbiological literature, but likely has ecological and evolutionary importance, is dead/decaying multicellular organisms. Metazoan cadavers, including those of insects, are ephemeral and nutrient-rich environments, where resource competition might shape interspecific macrobiotic and microbiotic interactions. This study is the first to use a next-generation sequencing approach to study the community dynamics of bacteria within a model insect cadaver system: insect larvae parasitized by entomopathogenic nematodes and their bacterial symbionts. By integrating bioinformatic, biochemical, and classic in vitro microbiological approaches, we have provided mechanistic insight into how antibiotic-mediated bacterial interactions may shape community dynamics within insect cadavers.

Indexed as

MicrobiotaAnimalsAnti-Bacterial AgentsCadaverLarvaMothsPhotorhabdusRhabditidaRNA, BacterialRNA, Ribosomal, 16SSequence Analysis, DNAStenotrophomonasStilbenesAnti-Bacterial AgentsRNA, BacterialRNA, Ribosomal, 16SStilbenes

Identifiers

PMID27451445
PMCPMC5038048
OpenAlexW2520123410

What OpenQuestion holds

Textmetadata
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.