Evidence map›Paper›PMID 39276214›Full record

ArticleCurrent genetics2024

Structure and distribution of sensor histidine kinases in the fungal kingdom.

Sara Mina, Anaïs Hérivaux, Hajar Yaakoub, Vincent Courdavault, Méline Wéry, Nicolas Papon

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Article in Current genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Sara MinaDepartment of Medical Laboratory Sciences, Faculty of Health Sciences, Beirut Arab University, Beirut, Lebanon. s.mina@bau.edu.lb.
Anaïs HérivauxUniv Angers, Univ Brest, IRF, SFR ICAT, Angers, F-49000, France.
Hajar YaakoubUniv Angers, Univ Brest, IRF, SFR ICAT, Angers, F-49000, France.
Vincent CourdavaultBiomolécules et Biotechnologies Végétales, BBV, EA2106, Université de Tours, Tours, France.
Méline WéryUniv Angers, SFR ICAT, Angers, F-49000, France.
Nicolas PaponUniv Angers, Univ Brest, IRF, SFR ICAT, Angers, F-49000, France. nicolas.papon@univ-angers.fr.

Funding

Angers Loire Métropole MycoFongConseil Régional des Pays de la Loire CRHoMic
6 · The paper itself

Abstract

Two-component systems (TCSs) are diverse cell signaling pathways that play a significant role in coping with a wide range of environmental cues in both prokaryotic and eukaryotic organisms. These transduction circuitries are primarily governed by histidine kinases (HKs), which act as sensing proteins of a broad variety of stressors. To date, nineteen HK groups have been previously described in the fungal kingdom. However, the structure and distribution of these prominent sensing proteins were hitherto investigated in a limited number of fungal species. In this study, we took advantage of recent genomic resources in fungi to refine the fungal HK classification by deciphering the structural diversity and phylogenetic distribution of HKs across a large number of fungal clades. To this end, we browsed the genome of 91 species representative of different fungal clades, which yielded 726 predicted HK sequences. A domain organization analysis, coupled with a robust phylogenomic approach, led to an improved categorization of fungal HKs. While most of the compiled sequences were categorized into previously described fungal HK groups, some new groups were also defined. Overall, this study provides an improved overview of the structure, distribution, and evolution of HKs in the fungal kingdom.

Indexed as

FungiHistidine KinasePhylogenyEvolution, MolecularFungal ProteinsGenome, FungalProtein KinasesSignal TransductionFungal ProteinsHistidine KinaseProtein KinasesCell signalingEukaryotesHistidine kinasesPhylogenetic analysisTwo-component systems

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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.