Evidence map›Paper›PMID 31036054›Full record

ArticleParasites & vectors2019

Dauer signalling pathway model for Haemonchus contortus.

Guangxu Ma, Tao Wang, Pasi K Korhonen, Andreas J Stroehlein, Neil D Young, Robin B Gasser

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. The Mitogenome of the Haecon-5 Strain ofInternational journal of molecular sciences · 2024
    Article
  3. Article
  4. Genome-Wide Analysis ofInternational journal of molecular sciences · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Dauer fate in aPeerJ · 2023
    Article
  9. Review
  10. An informatic workflow for the enhanced annotation of excretory/secretory proteins ofComputational and structural biotechnology journal · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Helminth lipidomics: Technical aspects and future prospects.Current research in parasitology & vector-borne diseases · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

6 authors at 1 institution in 1 country.

Guangxu MaDepartment of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia.
Tao WangDepartment of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia.
Pasi K KorhonenDepartment of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia.
Andreas J StroehleinDepartment of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia.
Neil D YoungDepartment of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia.
Robin B GasserDepartment of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, VIC, 3010, Australia. robinbg@unimelb.edu.au.
University of Melbourne · AU

Funding

National Health and Medical Research Council CDF1
6 · The paper itself

Abstract

backgroundSignalling pathways have been extensively investigated in the free-living nematode Caenorhabditis elegans, but very little is known about these pathways in parasitic nematodes. Here, we constructed a model for the dauer-associated signalling pathways in an economically highly significant parasitic worm, Haemonchus contortus.

methodsGuided by data and information available for C. elegans, we used extensive genomic and transcriptomic datasets to infer gene homologues in the dauer-associated pathways, explore developmental transcriptomic, proteomic and phosphoproteomic profiles in H. contortus and study selected molecular structures.

resultsThe canonical cyclic guanosine monophosphate (cGMP), transforming growth factor-β (TGF-β), insulin-like growth factor 1 (IGF-1) and steroid hormone signalling pathways of H. contortus were inferred to represent a total of 61 gene homologues. Compared with C. elegans, H. contortus has a reduced set of genes encoding insulin-like peptides, implying evolutionary and biological divergences between the parasitic and free-living nematodes. Similar transcription profiles were found for all gene homologues between the infective stage of H. contortus and dauer stage of C. elegans. High transcriptional levels for genes encoding G protein-coupled receptors (GPCRs), TGF-β, insulin-like ligands (e.g. ins-1, ins-17 and ins-18) and transcriptional factors (e.g. daf-16) in the infective L3 stage of H. contortus were suggestive of critical functional roles in this stage. Conspicuous protein expression patterns and extensive phosphorylation of some components of these pathways suggested marked post-translational modifications also in the L3 stage. The high structural similarity in the DAF-12 ligand binding domain among nematodes indicated functional conservation in steroid (i.e. dafachronic acid) signalling linked to worm development.

conclusionsTaken together, this pathway model provides a basis to explore hypotheses regarding biological processes and regulatory mechanisms (via particular microRNAs, phosphorylation events and/or lipids) associated with the development of H. contortus and related nematodes as well as parasite-host cross talk, which could aid the discovery of new therapeutic targets.

Indexed as

Signal TransductionAnimalsCaenorhabditis elegans ProteinsGene Expression ProfilingGene Expression RegulationGenomicsHaemonchusMetabolic Networks and PathwaysModels, MolecularProteomicsTranscription FactorsTranscriptomeCaenorhabditis elegans ProteinsTranscription FactorsDauer signalling pathwayHaemonchus contortusPhospho-proteomic analysisProteomic analysisTranscriptomic analysis

Identifiers

PMID31036054
PMCPMC6489264
OpenAlexW2947357674

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.