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Structure and distribution of sensor histidine kinases in the fungal kingdom.
- Source :
-
Current genetics [Curr Genet] 2024 Sep 14; Vol. 70 (1), pp. 17. Date of Electronic Publication: 2024 Sep 14. - Publication Year :
- 2024
-
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.<br /> (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Subjects :
- Genome, Fungal
Signal Transduction
Fungal Proteins genetics
Fungal Proteins metabolism
Fungal Proteins chemistry
Evolution, Molecular
Protein Kinases genetics
Protein Kinases metabolism
Protein Kinases chemistry
Histidine Kinase genetics
Histidine Kinase metabolism
Histidine Kinase chemistry
Phylogeny
Fungi genetics
Fungi enzymology
Fungi classification
Subjects
Details
- Language :
- English
- ISSN :
- 1432-0983
- Volume :
- 70
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Current genetics
- Publication Type :
- Academic Journal
- Accession number :
- 39276214
- Full Text :
- https://doi.org/10.1007/s00294-024-01301-w