Evidence map›Paper›PMID 30252070›Full record

ArticleGenome biology and evolution2019

Diversity and Evolution of Sensor Histidine Kinases in Eukaryotes.

Samar Kabbara, Anaïs Hérivaux, Thomas Dugé de Bernonville, Vincent Courdavault, Marc Clastre, Amandine Gastebois, Marwan Osman, Monzer Hamze, J Mark Cock, Pauline Schaap and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology and evolution, 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
1.4field-weighted citation impact, top 18% 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, 43 citations in OpenAlex.

  1. Conformational diversity in poly-HAMP arrays and its implications for signal transduction.Protein science : a publication of the Protein Society · 2026
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  6. Mitochondria: great balls of fire.The FEBS journal · 2024
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  18. Acid pH Strategy Adaptation throughJournal of fungi (Basel, Switzerland) · 2021
    Article
  19. Review
  20. Effector proteins of Rhizophagus proliferus: conserved protein domains may play a role in host-specific interaction with different plant species.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2019
    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

11 authors at 5 institutions in 3 countries.

Samar KabbaraGroupe d'Etude des Interactions Hôte-Pathogène, GEIHP, EA3142, Université d'Angers, SFR 4208 ICAT, France.
Anaïs HérivauxGroupe d'Etude des Interactions Hôte-Pathogène, GEIHP, EA3142, Université d'Angers, SFR 4208 ICAT, France.
Thomas Dugé de BernonvilleBiomolécules et Biotechnologies Végétales, BBV, EA2106, Université François Rabelais de Tours, France.
Vincent CourdavaultBiomolécules et Biotechnologies Végétales, BBV, EA2106, Université François Rabelais de Tours, France.
Marc ClastreBiomolécules et Biotechnologies Végétales, BBV, EA2106, Université François Rabelais de Tours, France.
Amandine GasteboisGroupe d'Etude des Interactions Hôte-Pathogène, GEIHP, EA3142, Université d'Angers, SFR 4208 ICAT, France.
Marwan OsmanLaboratoire Microbiologie Santé et Environnement, Faculté de Santé Publique, Université Libanaise, Tripoli, Lebanon.
Monzer HamzeLaboratoire Microbiologie Santé et Environnement, Faculté de Santé Publique, Université Libanaise, Tripoli, Lebanon.
J Mark CockAlgal Genetics Group, UMR 8227, Integrative Biology of Marine Models, Station Biologique de Roscoff, Sorbonne Université, UPMC Université Paris 06, CNRS, Roscoff, France.
Pauline SchaapSchool of Life Sciences, University of Dundee, United Kingdom.
Nicolas PaponGroupe d'Etude des Interactions Hôte-Pathogène, GEIHP, EA3142, Université d'Angers, SFR 4208 ICAT, France.
Université d'Angers · FRUniversité de Tours · FRLebanese University · LBCentre National de la Recherche Scientifique · FRUniversity of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histidine kinases (HKs) are primary sensor proteins that act in cell signaling pathways generically referred to as "two-component systems" (TCSs). TCSs are among the most widely distributed transduction systems used by both prokaryotic and eukaryotic organisms to detect and respond to a broad range of environmental cues. The structure and distribution of HK proteins are now well documented in prokaryotes, but information is still fragmentary for eukaryotes. Here, we have taken advantage of recent genomic resources to explore the structural diversity and the phylogenetic distribution of HKs in the prominent eukaryotic supergroups. Searches of the genomes of 67 eukaryotic species spread evenly throughout the phylogenetic tree of life identified 748 predicted HK proteins. Independent phylogenetic analyses of predicted HK proteins were carried out for each of the major eukaryotic supergroups. This allowed most of the compiled sequences to be categorized into previously described HK groups. Beyond the phylogenetic analysis of eukaryotic HKs, this study revealed some interesting findings: 1) characterization of some previously undescribed eukaryotic HK groups with predicted functions putatively related to physiological traits; 2) discovery of HK groups that were previously believed to be restricted to a single kingdom in additional supergroups, and 3) indications that some evolutionary paths have led to the appearance, transfer, duplication, and loss of HK genes in some phylogenetic lineages. This study provides an unprecedented overview of the structure and distribution of HKs in the Eukaryota and represents a first step toward deciphering the evolution of TCS signaling in living organisms.

Indexed as

Evolution, MolecularEukaryotaHistidine KinasePhylogenySignal TransductionHistidine Kinase

Identifiers

PMID30252070
PMCPMC6324907
OpenAlexW2892509630

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.