henhaobio
Sign in

Microbes and EnvironmentsEcologyPeer-reviewed journal article

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

Jun XiaiD, Lingjie MengiD, Yue FangiD, Hiroki BaniD, Yusuke OkazakiiD, Takashi Yoshida, Hisashi EndoiD, Keizo NagasakiiD, Hiroyuki OgataiD

PDFDOIPreprint

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.

Citations
0
FWCI
0.00
Field percentile
44th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISFang '24Hevroni '22Chase '22Wing '25Gajigan '26Moniruzzama '18
67% semantic matchMicrobiology
Yue Fang, Lingjie Meng, Jun Xia+6 more·mSystems·Dec 23, 2024· 14 citations