Evidence map›Paper›PMID 30669976›Full record

ArticleBMC genomics2019

Characterization of G-protein coupled receptors from the blackback land crab Gecarcinus lateralis Y organ transcriptome over the molt cycle.

Nhut M Tran, Donald L Mykles, Abigail Elizur, Tomer Ventura

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 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
4.1field-weighted citation impact, top 5% 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, 59 citations in OpenAlex.

  1. Article
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  7. Regulation Mechanism of Dopamine Receptor 1 in Low Temperature Response ofInternational journal of molecular sciences · 2023
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  8. Deciphering Molecular Mechanisms Governing the Reproductive Molt ofInternational journal of molecular sciences · 2023
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  9. Frontiers in endocrinology · 2023
    Article
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  13. Review
  14. GnRH-Related Neurohormones in the Fruit FlyInternational journal of molecular sciences · 2021
    Review
  15. Review
  16. Article
  17. Article
  18. 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

4 authors at 2 institutions in 2 countries.

Nhut M TranGeneCology Research Centre, School of Science and Engineering University of the Sunshine Coast, Queensland, 4556, Australia.
Donald L MyklesDepartment of Biology, Colorado State University, Fort Collins, CO, 80523, USA.
Abigail ElizurGeneCology Research Centre, School of Science and Engineering University of the Sunshine Coast, Queensland, 4556, Australia.
Tomer VenturaGeneCology Research Centre, School of Science and Engineering University of the Sunshine Coast, Queensland, 4556, Australia. tventura@usc.edu.au.ORCID http://orcid.org/0000-0002-0777-2367
University of the Sunshine Coast · AUColorado State University · US

Funding

Australian Research Council, Discovery Program DP160103320National Science Foundation IOS-1257732
6 · The paper itself

Abstract

backgroundG-protein coupled receptors (GPCRs) are ancient, ubiquitous, constitute the largest family of transducing cell surface proteins, and are integral to cell communication via an array of ligands/neuropeptides. Molt inhibiting hormone (MIH) is a key neuropeptide that controls growth and reproduction in crustaceans by regulating the molt cycle. It inhibits ecdysone biosynthesis by a pair of endocrine glands (Y-organs; YOs) through binding a yet uncharacterized GPCR, which triggers a signalling cascade, leading to inhibition of the ecdysis sequence. When MIH release stops, ecdysone is synthesized and released to the hemolymph. A peak in ecdysone titer is followed by a molting event. A transcriptome of the blackback land crab Gecarcinus lateralis YOs across molt was utilized in this study to curate the list of GPCRs and their expression in order to better assess which GPCRs are involved in the molt process.

resultsNinety-nine G. lateralis putative GPCRs were obtained by screening the YO transcriptome against the Pfam database. Phylogenetic analysis classified 49 as class A (Rhodopsin-like receptor), 35 as class B (Secretin receptor), and 9 as class C (metabotropic glutamate). Further phylogenetic analysis of class A GPCRs identified neuropeptide GPCRs, including those for Allatostatin A, Allatostatin B, Bursicon, CCHamide, FMRFamide, Proctolin, Corazonin, Relaxin, and the biogenic amine Serotonin. Three GPCRs clustered with recently identified putative CHH receptors (CHHRs), and differential expression over the molt cycle suggests that they are associated with ecdysteroidogenesis regulation. Two putative Corazonin receptors showed much higher expression in the YOs compared with all other GPCRs, suggesting an important role in molt regulation.

conclusionsMolting requires an orchestrated regulation of YO ecdysteroid synthesis by multiple neuropeptides. In this study, we curated a comprehensive list of GPCRs expressed in the YO and followed their expression across the molt cycle. Three putative CHH receptors were identified and could include an MIH receptor whose activation negatively regulates molting. Orthologs of receptors that were found to be involved in molt regulation in insects were also identified, including LGR3 and Corazonin receptor, the latter of which was expressed at much higher level than all other receptors, suggesting a key role in YO regulation.

Indexed as

TranscriptomeAnimalsBrachyuraMoltingPhylogenyReceptors, G-Protein-CoupledTissue DistributionReceptors, G-Protein-CoupledCrustacean Hyperglycemic Hormone family of neuropeptidesDecapod crustaceansEcdysis regulationEcdysteroidsG protein-coupled receptorMoltingNeuroendocrine signalling pathwaysRhodopsin-like receptorsSecretin-like receptors

Identifiers

PMID30669976
PMCPMC6341585
OpenAlexW2912619268

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.