Back

Genetic manipulation of a giant virus-associated virophage

Chen, J.; Ogata, H.; Hikida, H.

2026-06-17 microbiology
10.64898/2026.06.16.732491 bioRxiv
Show abstract

Virophages are double-stranded DNA viruses that hyperparasitize giant viruses infecting unicellular eukaryotes. Parasitization by virophages often reduces the replication of giant viruses, thereby modulating microbial communities in the environment. However, the molecular mechanisms underlying the tripartite relationship are largely unknown due to methodological limitations. In the present study, we developed a reverse-genetics system for a Sputnik virophage that parasitizes the amoeba-infecting giant virus, mimivirus. We demonstrated that transfection of genomic DNA could recover infectious virophage particles. Transfection of genomic DNA synthesized by circular polymerase extension reaction (CPER) also resulted in the recovery of infectious viruses. As a proof of concept, we successfully modified two Sputnik genes by transfecting CPER-assembled mutant genomic DNA. Collectively, our reverse-genetics system provides a framework for assessing the functional importance of Sputnik genes and should facilitate future genetic studies of virophages. Significance statementVirophages are viruses that hyperparasitize giant viruses, which infect unicellular eukaryotes and have extremely large particles and genomes. Giant viruses modulate microbial communities not only by killing their hosts but also by altering host cellular functions. Virophages modulate the replication of giant viruses, thereby driving ecosystem dynamics. Previous studies have demonstrated their widespread distribution through isolation and metagenomic analyses. However, the functions of most virophage genes remain unknown. Due to the lack of genetic tools, the molecular mechanisms underlying the interactions between virophages and giant viruses remain largely elusive. Here, we established a virophage reverse-genetics system based on circular polymerase extension reaction. Our results demonstrate that the system can dissect virophage gene functions and will accelerate virophage genetics.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Virology
499 papers in training set
Top 0.4%
18.8%
2
Applied and Environmental Microbiology
339 papers in training set
Top 0.8%
8.0%
3
mBio
833 papers in training set
Top 2%
8.0%
4
PLOS Pathogens
820 papers in training set
Top 2%
6.8%
5
mSystems
394 papers in training set
Top 1%
6.4%
6
PLOS Biology
486 papers in training set
Top 0.6%
5.2%
50% of probability mass above
7
Microbiology Spectrum
469 papers in training set
Top 3%
4.1%
8
Frontiers in Microbiology
427 papers in training set
Top 3%
3.3%
9
Science China Life Sciences
29 papers in training set
Top 0.1%
3.3%
10
Environmental Microbiology
133 papers in training set
Top 0.9%
3.2%
11
Nature Communications
5641 papers in training set
Top 38%
2.7%
12
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 21%
2.4%
13
Virology Journal
32 papers in training set
Top 0.2%
2.4%
14
eLife
5828 papers in training set
Top 43%
2.2%
15
Virus Evolution
155 papers in training set
Top 0.8%
1.8%
16
Scientific Reports
3612 papers in training set
Top 58%
1.5%
17
Viruses
332 papers in training set
Top 3%
1.1%
18
mSphere
302 papers in training set
Top 6%
1.1%
19
Nucleic Acids Research
1281 papers in training set
Top 12%
1.0%
20
ISME Communications
120 papers in training set
Top 2%
1.0%
21
Applied Microbiology and Biotechnology
32 papers in training set
Top 0.8%
0.9%
22
Nature Microbiology
155 papers in training set
Top 3%
0.9%
23
iScience
1154 papers in training set
Top 39%
0.6%
24
Cell Reports
1498 papers in training set
Top 29%
0.6%
25
Genome Biology
637 papers in training set
Top 9%
0.6%
26
PLOS ONE
5266 papers in training set
Top 64%
0.6%