Expansion and re-classification of the extracytoplasmic function (ECF) σ factor family

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Delia Casas-Pastor - , LOEWE-Zentrum für Synthetische Mikrobiologie (SYNMIKRO) (Autor:in)
  • Raphael R Müller - , Justus-Liebig-Universität Gießen (Autor:in)
  • Sebastian Jaenicke - , Justus-Liebig-Universität Gießen (Autor:in)
  • Karina Brinkrolf - , Justus-Liebig-Universität Gießen (Autor:in)
  • Anke Becker - , LOEWE-Zentrum für Synthetische Mikrobiologie (SYNMIKRO) (Autor:in)
  • Mark J Buttner - , John Innes Centre (Autor:in)
  • Carol A Gross - , University of California at Berkeley (Autor:in)
  • Thorsten Mascher - , Professur für Allgemeine Mikrobiologie, Institut für Mikrobiologie (Autor:in)
  • Alexander Goesmann - , Justus-Liebig-Universität Gießen (Autor:in)
  • Georg Fritz - , University of Western Australia (Autor:in)

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.

Details

OriginalspracheEnglisch
Seiten (von - bis)986-1005
Seitenumfang20
FachzeitschriftNucleic acids research
Jahrgang49
Ausgabenummer2
PublikationsstatusVeröffentlicht - 25 Jan. 2021
Peer-Review-StatusJa

Externe IDs

PubMedCentral PMC7826278
Scopus 85100358296

Schlagworte

Schlagwörter

  • Amino Acid Sequence, Bacterial Proteins/chemistry, Consensus Sequence, DNA-Directed RNA Polymerases/chemistry, Gene Expression Regulation, Bacterial, Multigene Family, Phylogeny, Sequence Alignment, Sigma Factor/classification, Signal Transduction, Substrate Specificity, Terminology as Topic

Bibliotheksschlagworte