Toggle Main Menu Toggle Search

Open Access padlockePrints

A dynamic network of proteins facilitate cell envelope biogenesis in gram-negative bacteria

Lookup NU author(s): Manuel Banzhaf

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2021 by the authors. Licensee MDPI, Basel, Switzerland.Bacteria must maintain the ability to modify and repair the peptidoglycan layer without jeopardising its essential functions in cell shape, cellular integrity and intermolecular interactions. A range of new experimental techniques is bringing an advanced understanding of how bacteria regulate and achieve peptidoglycan synthesis, particularly in respect of the central role played by complexes of Sporulation, Elongation or Division (SEDs) and class B penicillin-binding proteins required for cell division, growth and shape. In this review we highlight relationships implicated by a bioinformatic approach between the outer membrane, cytoskeletal components, periplasmic control proteins, and cell elongation/division proteins to provide further perspective on the interactions of these cell division, growth and shape complexes. We detail the network of protein interactions that assist in the formation of peptidoglycan and highlight the increasingly dynamic and connected set of protein machinery and macrostructures that assist in creating the cell envelope layers in Gram-negative bacteria.


Publication metadata

Author(s): Graham CLB, Newman H, Gillett FN, Smart K, Briggs N, Banzhaf M, Roper DI

Publication type: Review

Publication status: Published

Journal: International Journal of Molecular Sciences

Year: 2021

Volume: 22

Issue: 23

Print publication date: 01/12/2021

Online publication date: 27/11/2021

Acceptance date: 03/11/2021

ISSN (print): 1661-6596

ISSN (electronic): 1422-0067

Publisher: MDPI

URL: https://doi.org/10.3390/ijms222312831

DOI: 10.3390/ijms222312831

PubMed id: 34884635

Data Access Statement: The interaction network of proteins, with DOI citations at each interaction pair can be found in the paper’s supplementary data file. The predicted gene network used for Figure 4 is available at STRING’s website using the permalink: https://version-11-5.string-db.org/cgi/network?taskId=bIzLkBRoqjLb&sessionId=bBi0rwtoih3p


Share