Evidence map›Paper›PMID 30944351›Full record

ArticleScientific reports2019

Using Bacterial Transcriptomics to Investigate Targets of Host-Bacterial Interactions in Caenorhabditis elegans.

Jason P Chan, Justin R Wright, Hoi Tong Wong, Anastasia Ardasheva, Jamey Brumbaugh, Christopher McLimans, Regina Lamendella

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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
1.9field-weighted citation impact, top 15% 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, 45 citations in OpenAlex.

  1. Enhancement of vitamin BMicrobial cell factories · 2024
    Article
  2. Understanding the factors regulating host-microbiome interactions usingPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. WormPaths:bioRxiv : the preprint server for biology · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Caenorhabditis elegans: a model to understand host-microbe interactions.Cellular and molecular life sciences : CMLS · 2020
    Review
  19. A systematic strategy for the investigation of vaccines and drugs targeting bacteria.Computational and structural biotechnology journal · 2020
    Review
  20. Review
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 1 institution in 1 country.

Jason P ChanDepartment of Biology, Juniata College, Huntingdon, PA, USA. chan@juniata.edu.
Justin R WrightDepartment of Biology, Juniata College, Huntingdon, PA, USA.
Hoi Tong WongDepartment of Biology, Juniata College, Huntingdon, PA, USA.
Anastasia ArdashevaDepartment of Biology, Juniata College, Huntingdon, PA, USA.ORCID http://orcid.org/0000-0001-5525-3564
Jamey BrumbaughDepartment of Biology, Juniata College, Huntingdon, PA, USA.
Christopher McLimansDepartment of Biology, Juniata College, Huntingdon, PA, USA.
Regina LamendellaDepartment of Biology, Juniata College, Huntingdon, PA, USA. lamendella@juniata.edu.
Juniata College · US

Funding

The roles of sphingolipids in stress response and healthy aging.R15AG052933 · NIA · MARIAN UNIVERSITY · PI STAAB, TRISHA · 2016 to 2020
$662k
Analyses of host-microbiota interactions in aging C. elegans hostsR15AG063103 · NIA · JUNIATA COLLEGE · PI LAMENDELLA, REGINA · 2019 to 2019
$328k
Howard Hughes Medical InstituteNIA NIH HHS R15 AG052933NIA NIH HHS R15 AG063103
6 · The paper itself

Abstract

The interactions between a host and its resident microbes form complicated networks that can affect host physiology. Disentangling these host-microbe interactions can help us better understand mechanisms by which bacteria affect hosts, while also defining the integral commensal protection that host-associated microbiota offer to promote health. Here we utilize a tractable genetic model organism, Caenorhabditis elegans, to study the effects of host environments on bacterial gene expression and metabolic pathways. First, we compared the transcriptomic profiles of E. coli OP50 in vitro (on agar plates) versus in vivo (fed to C. elegans host). Our data revealed that 110 biosynthetic genes were enriched in host-associated E. coli. Several of these expressed genes code for the precursors and products needed for the synthesis of lipopolysaccharides (LPS), which are important for innate immune and stress responses, as well as pathogenicity. Secondly, we compared the transcriptomic profiles of E. coli fed to hosts with different genetic backgrounds, including the long-lived daf-2/insulin like growth factor (IGF) receptor and short lived daf-16/FOXO transcription factor mutants. We find that hosts genetics also alters bacterial metabolic pathways. Given that bacteria influence host health, this transcriptomics approach can elucidate genes mediating host aging.

Indexed as

AgingAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsEscherichia coliEscherichia coli ProteinsForkhead Transcription FactorsGastrointestinal MicrobiomeGene Expression ProfilingGene Expression Regulation, BacterialMutationProof of Concept StudyReceptor, InsulinTemperatureCaenorhabditis elegans Proteinsdaf-16 protein, C elegansDAF-2 protein, C elegansEscherichia coli ProteinsForkhead Transcription FactorsReceptor, Insulin

Identifiers

PMID30944351
PMCPMC6447554
OpenAlexW2930795056

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.