Posttranslational modifications in bacteria during phage infection

Current Opinion in Microbiology, vol. 77, pp. 102425

Abstract

During phage infection, both virus and bacteria attempt to gain and/or maintain control over critical bacterial functions, through a plethora of strategies. These strategies include posttranslational modifications (PTMs, including phosphorylation, ribosylation, and acetylation), as rapid and dynamic regulators of protein behavior. However, to date, knowledge on the topic remains scarce and fragmented, while a more systematic investigation lies within reach. The release of AlphaFold, which advances PTM enzyme discovery and functional elucidation, and the increasing inclusivity and scale of mass spectrometry applications to new PTM types, could significantly accelerate research in the field. In this review, we highlight the current knowledge on PTMs during phage infection, and conceive a possible pipeline for future research, following an enzyme-target-function scheme.

Authors 5

1. Hannelore Longin

   KU Leuven

   Affiliation as printed

   Computational Systems Biology, Department of Microbial and Molecular Systems, KU Leuven, Kasteelpark Arenberg 20 box 2460, 3001 Heverlee, Belgium; Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 21 box 2462, 3001 Heverlee, Belgium

   Computational Systems Biology, Department of Microbial and Molecular Systems, KU Leuven, Kasteelpark Arenberg 20 box 2460, 3001 Heverlee, Belgium

   Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 21 box 2462, 3001 Heverlee, Belgium

2. Nand Broeckaert

   KU Leuven

   Affiliation as printed

   Computational Systems Biology, Department of Microbial and Molecular Systems, KU Leuven, Kasteelpark Arenberg 20 box 2460, 3001 Heverlee, Belgium; Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 21 box 2462, 3001 Heverlee, Belgium

   Computational Systems Biology, Department of Microbial and Molecular Systems, KU Leuven, Kasteelpark Arenberg 20 box 2460, 3001 Heverlee, Belgium

   Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 21 box 2462, 3001 Heverlee, Belgium

3. Vera van Noort Aachen Institute of Biology, Leiden University

   Leiden University · KU Leuven

   Affiliation as printed

   Computational Systems Biology, Department of Microbial and Molecular Systems, KU Leuven, Kasteelpark Arenberg 20 box 2460, 3001 Heverlee, Belgium; Institute of Biology, Leiden University, Sylviusweg 72, 2333 Leiden, the Netherlands

   Computational Systems Biology, Department of Microbial and Molecular Systems, KU Leuven, Kasteelpark Arenberg 20 box 2460, 3001 Heverlee, Belgium

   Institute of Biology, Leiden University, Sylviusweg 72, 2333 Leiden, the Netherlands

4. Rob Lavigne

   KU Leuven

   Affiliation as printed

   Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 21 box 2462, 3001 Heverlee, Belgium

5. Hanne Hendrix corresponding

   KU Leuven

   Affiliation as printed

   Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 21 box 2462, 3001 Heverlee, Belgium. Electronic address: hanne.hendrix@kuleuven.be

   Laboratory of Gene Technology, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 21 box 2462, 3001 Heverlee, Belgium