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Expansion and re-classification of the extracytoplasmic function (ECF) σ factor family.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2021 Jan 25; Vol. 49 (2), pp. 986-1005. - Publication Year :
- 2021
-
Abstract
- Extracytoplasmic function σ factors (ECFs) represent one of the major bacterial signal transduction mechanisms in terms of abundance, diversity and importance, particularly in mediating stress responses. Here, we performed a comprehensive phylogenetic analysis of this protein family by scrutinizing all proteins in the NCBI database. As a result, we identified an average of ∼10 ECFs per bacterial genome and 157 phylogenetic ECF groups that feature a conserved genetic neighborhood and a similar regulation mechanism. Our analysis expands previous classification efforts ∼50-fold, enriches many original ECF groups with previously unclassified proteins and identifies 22 entirely new ECF groups. The ECF groups are hierarchically related to each other and are further composed of subgroups with closely related sequences. This two-tiered classification allows for the accurate prediction of common promoter motifs and the inference of putative regulatory mechanisms across subgroups composing an ECF group. This comprehensive, high-resolution description of the phylogenetic distribution of the ECF family, together with the massive expansion of classified ECF sequences and an openly accessible data repository called 'ECF Hub' (https://www.computational.bio.uni-giessen.de/ecfhub), will serve as a powerful hypothesis-generator to guide future research in the field.<br /> (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Subjects :
- Amino Acid Sequence
Bacterial Proteins genetics
Consensus Sequence
DNA-Directed RNA Polymerases chemistry
DNA-Directed RNA Polymerases metabolism
Gene Expression Regulation, Bacterial
Phylogeny
Sequence Alignment
Sigma Factor genetics
Signal Transduction
Substrate Specificity
Terminology as Topic
Bacterial Proteins chemistry
Multigene Family
Sigma Factor classification
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 49
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 33398323
- Full Text :
- https://doi.org/10.1093/nar/gkaa1229