Back

New antiviral defences are genetically embedded within prokaryotic immune systems.

Payne, L. J.; Hughes, T. C. D.; Fineran, P. C.; Jackson, S. A.

2024-01-30 microbiology
10.1101/2024.01.29.577857 bioRxiv
Show abstract

Bacteria and archaea typically have multiple defence systems that protect them against viral predation. Recently, many new defence systems have been discovered, yet the full scope of the prokaryotic pan-immune system remains to be determined. In this study, we observed that many multi-gene defence systems have additional genes nested or embedded within them. Based on this observation, we present a new approach to predict new defence systems, where defence function of uncharacterised genes is inferred based on their genetic embedding in known defence systems. Applying this guilt-by-embedding method, we identified and confirmed anti-phage function for seven defence systems and predicted 145 additional candidates. Our findings expand the known immune repertoire of prokaryotes, provide a wealth of new systems for future functional studies, and demonstrate a simple, efficient approach to identify new antiviral defences.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Cell Host & Microbe
116 papers in training set
Top 0.1%
26.7%
2
eLife
5828 papers in training set
Top 8%
11.1%
3
Cell
431 papers in training set
Top 0.4%
9.8%
4
Cell Reports
1498 papers in training set
Top 3%
7.9%
50% of probability mass above
5
Nature Communications
5641 papers in training set
Top 27%
5.5%
6
Nature Microbiology
155 papers in training set
Top 0.7%
4.4%
7
Nature
645 papers in training set
Top 4%
3.3%
8
PLOS Biology
486 papers in training set
Top 2%
3.2%
9
Molecular Biology and Evolution
542 papers in training set
Top 3%
2.1%
10
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 26%
1.9%
11
Nucleic Acids Research
1281 papers in training set
Top 9%
1.7%
12
The EMBO Journal
309 papers in training set
Top 3%
1.7%
13
microLife
22 papers in training set
Top 0.2%
1.5%
14
PLOS Pathogens
820 papers in training set
Top 7%
1.3%
15
PLOS Genetics
862 papers in training set
Top 9%
1.1%
16
Molecular Microbiology
77 papers in training set
Top 1.0%
1.1%
17
New Phytologist
346 papers in training set
Top 4%
1.0%
18
Philosophical Transactions of the Royal Society B: Biological Sciences
72 papers in training set
Top 2%
0.8%
19
Molecular Cell
350 papers in training set
Top 5%
0.8%
20
Science Advances
1243 papers in training set
Top 30%
0.8%
21
mBio
833 papers in training set
Top 11%
0.8%
22
Nature Ecology & Evolution
113 papers in training set
Top 2%
0.8%
23
Communications Biology
993 papers in training set
Top 30%
0.8%
24
Current Biology
665 papers in training set
Top 11%
0.6%
25
Environmental Microbiology
133 papers in training set
Top 3%
0.6%