Back

Phyletic distribution and diversification of the Phage Shock Protein stress response system in bacteria and archaea

Popp, P. F.; Gumerov, V. M.; Andrianova, E. P.; Bewersdorf, L.; Mascher, T.; Jouline, I.; Wolf, D.

2021-02-15 microbiology
10.1101/2021.02.15.431232 bioRxiv
Show abstract

The bacterial cell envelope is an essential structure that protects the cell from environmental threats, while simultaneously serving as communication interface and diffusion barrier. Therefore, maintaining cell envelope integrity is of vital importance for all microorganisms. Not surprisingly, evolution has shaped conserved protection networks that connect stress perception, transmembrane signal transduction and mediation of cellular responses upon cell envelope stress. The phage shock protein (PSP) stress response is one of such conserved protection networks. Most of the knowledge about the Psp response comes from studies in the Gram-negative model bacterium, Escherichia coli where the Psp system consists of several well-defined protein components. Homologous systems were identified in representatives of Proteobacteria, Actinobacteria, and Firmicutes; however, the Psp system distribution in the microbial world remains largely unknown. By carrying out a large-scale, unbiased comparative genomics analysis, we found components of the Psp system in many bacterial and archaeal phyla and demonstrated that the PSP system deviates dramatically from the proteobacterial prototype. Two of its core proteins, PspA and PspC, have been integrated in various (often phylum-specifically) conserved protein networks during evolution. Based on protein sequence and gene neighborhood analyses of pspA and pspC homologs, we built a natural classification system of PSP networks in bacteria and archaea. We performed a comprehensive in vivo protein interaction screen for the PSP network newly identified in the Gram-positive model organism Bacillus subtilis and found a strong interconnected PSP response system, illustrating the validity of our approach. Our study highlights the diversity of PSP organization and function across many bacterial and archaeal phyla and will serve as foundation for future studies of this envelope stress response beyond model organisms.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Frontiers in Microbiology
427 papers in training set
Top 0.6%
10.7%
2
microLife
22 papers in training set
Top 0.1%
9.5%
3
mSystems
394 papers in training set
Top 1%
7.1%
4
Molecular Biology and Evolution
542 papers in training set
Top 1%
6.5%
5
Genome Biology and Evolution
338 papers in training set
Top 0.7%
6.5%
6
eLife
5828 papers in training set
Top 22%
5.4%
7
Environmental Microbiology
133 papers in training set
Top 0.9%
3.3%
8
mBio
833 papers in training set
Top 5%
3.1%
50% of probability mass above
9
Microbial Genomics
225 papers in training set
Top 1%
3.1%
10
PLOS Genetics
862 papers in training set
Top 4%
3.0%
11
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 20%
2.7%
12
Molecular Microbiology
77 papers in training set
Top 0.5%
2.6%
13
PLOS Biology
486 papers in training set
Top 3%
2.3%
14
Cell Reports
1498 papers in training set
Top 17%
2.1%
15
Communications Biology
993 papers in training set
Top 15%
1.7%
16
Genome Research
468 papers in training set
Top 4%
1.7%
17
The ISME Journal
228 papers in training set
Top 2%
1.6%
18
Molecular Plant-Microbe Interactions®
57 papers in training set
Top 0.6%
1.6%
19
Microbiological Research
22 papers in training set
Top 0.3%
1.6%
20
Journal of Bacteriology
212 papers in training set
Top 1%
1.6%
21
G3 Genes|Genomes|Genetics
351 papers in training set
Top 3%
1.3%
22
BMC Genomics
406 papers in training set
Top 7%
1.1%
23
iScience
1154 papers in training set
Top 28%
1.1%
24
Nucleic Acids Research
1281 papers in training set
Top 13%
1.0%
25
Scientific Reports
3612 papers in training set
Top 71%
1.0%
26
mSphere
302 papers in training set
Top 6%
1.0%
27
Nature Communications
5641 papers in training set
Top 55%
1.0%
28
RNA
189 papers in training set
Top 1%
0.8%
29
Microbiology Spectrum
469 papers in training set
Top 10%
0.8%
30
BMC Biology
265 papers in training set
Top 7%
0.6%