Evidence map›Paper›PMID 35015849›Full record

ArticleGenome biology and evolution2022

Patchy Distribution of GTPases of Immunity-Associated Proteins (GIMAP) within Cnidarians and Dinoflagellates Suggests a Complex Evolutionary History.

Jenny C Coelho, Ethan D Calhoun, Grant N Calhoun, Angela Z Poole

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Jenny C CoelhoDepartment of Biology, Berry College, Mt. Berry, Georgia, USA.
Ethan D CalhounDepartment of Biology, Berry College, Mt. Berry, Georgia, USA.
Grant N CalhounDepartment of Biology, Berry College, Mt. Berry, Georgia, USA.
Angela Z PooleDepartment of Biology, Berry College, Mt. Berry, Georgia, USA.ORCID 0000-0003-4817-7385
Berry College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GTPases of Immunity-Associated Proteins (GIMAP) are a group of small GTP-binding proteins found in a variety of organisms, including vertebrates, invertebrates, and plants. These proteins are characterized by the highly conserved AIG1 domain, and in vertebrates, have been implicated in regulation of the immune system as well as apoptosis and autophagy, though their exact mechanism of action remains unclear. Recent work on cnidarian GIMAPs suggests a conserved role in immunity, apoptosis, and autophagy-three processes involved in coral bleaching, or the breakdown of cnidarian-dinoflagellate symbiosis. Therefore, to further understand the evolution of GIMAPs in this group of organisms, the purpose of this study was to characterize GIMAP or GIMAP-like sequences utilizing publicly available genomic and transcriptomic data in species across the cnidarian phylogeny. The results revealed a patchy distribution of GIMAPs in cnidarians, with three distinct types referred to as L-GIMAP, S-GIMAP, and GIMAP-like. Additionally, GIMAPs were present in most dinoflagellate species and formed seven well-supported clades. Overall, these results elucidate the distribution of GIMAPs within two distantly related eukaryotic groups and represent the first in-depth investigation on the evolution of these proteins within both protists and basal metazoans.

Indexed as

CnidariaDinoflagellidaAnimalsGTP PhosphohydrolasesPhylogenySymbiosisGTP PhosphohydrolasesAIG1coralsphylogeneticsSymbiodiniaceaesymbiosis

Identifiers

PMID35015849
PMCPMC8857920
OpenAlexW4206543574

What OpenQuestion holds

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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.