Back

Rapid diversification of a natural Heterosigma akashiwo virus population during a host bloom

Xia, J.; Meng, L.; Fang, Y.; Ban, H.; Okazaki, Y.; Yoshida, T.; Endo, H.; Nagasaki, K.; Ogata, H.

2026-02-07 ecology
10.64898/2026.02.06.704369 bioRxiv
Show abstract

Despite the ecological importance of viruses, our understanding of their evolutionary dynamics in natural environments remains limited. This gap is particularly pronounced for giant dsDNA viruses of the phyla Nucleocytoviricota and Mirusviricota. Most knowledge on their population genetic dynamics is derived from a small number of laboratory-based experiments, whereas patterns in nature are rarely observed. To overcome this limitation, we traced genetic structure and transcription status of Heterosigma akashiwo virus (HaV) using high-frequency, time-resolved sampling during a host bloom in a coastal area of Japan, by integrating cell counting, metabarcoding, metagenomic and metatranscriptomic sequencing. Our study revealed that HaV dominated the giant virus community in most samples, with the relative abundances of up to 56%. Despite the high abundances, the HaV population exhibited a relatively low level of microdiversity but with a high pN/pS ratio compared to other giant viruses in the study site. Microdiversity increased during the early sampling period, reached a maximum at mid-sampling, and decreased during the later period, consistent with rapid diversification during viral expansion, possibly driven by both in situ mutations and the succession of pre-existing minor variants. Several accessory genes, including a glycosyltransferase and an endonuclease, were highly expressed, providing functional evidence consistent with host interaction-driven selective pressure during the bloom. Together, these results indicate that HaV population dynamics during algal blooms are shaped by host-driven selection acting on standing genetic variation.

Matching journals

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

1
Environmental Microbiology
133 papers in training set
Top 0.1%
26.9%
2
Frontiers in Microbiology
427 papers in training set
Top 0.5%
12.1%
3
mSystems
394 papers in training set
Top 0.6%
9.8%
4
ISME Communications
120 papers in training set
Top 0.4%
5.6%
50% of probability mass above
5
Virus Evolution
155 papers in training set
Top 0.4%
4.9%
6
Water Research
79 papers in training set
Top 0.4%
3.3%
7
The ISME Journal
228 papers in training set
Top 2%
2.1%
8
mBio
833 papers in training set
Top 7%
2.1%
9
PeerJ
308 papers in training set
Top 5%
1.8%
10
iScience
1154 papers in training set
Top 16%
1.8%
11
Nature Communications
5641 papers in training set
Top 47%
1.5%
12
Viruses
332 papers in training set
Top 3%
1.5%
13
Communications Biology
993 papers in training set
Top 16%
1.5%
14
Microbiome
154 papers in training set
Top 2%
1.5%
15
Scientific Reports
3612 papers in training set
Top 58%
1.5%
16
Science China Life Sciences
29 papers in training set
Top 0.3%
1.4%
17
Molecular Ecology
336 papers in training set
Top 3%
1.1%
18
Science of The Total Environment
186 papers in training set
Top 2%
1.1%
19
Microbiology Spectrum
469 papers in training set
Top 9%
1.1%
20
Applied and Environmental Microbiology
339 papers in training set
Top 4%
1.1%
21
eLife
5828 papers in training set
Top 60%
1.0%
22
New Phytologist
346 papers in training set
Top 5%
0.9%
23
Nature Ecology & Evolution
113 papers in training set
Top 2%
0.9%
24
FEMS Microbiology Ecology
54 papers in training set
Top 1%
0.6%
25
Molecular Ecology Resources
171 papers in training set
Top 2%
0.6%