Evidence map›Paper›PMID 40487916›Full record

ArticleISME communications2025

Contrasting defense strategies of oligotrophs and copiotrophs revealed by single-cell-resolved virus-host pairing of freshwater bacteria.

Yusuke Okazaki, Yohei Nishikawa, Ryota Wagatsuma, Haruko Takeyama, Shin-Ichi Nakano

Abstract read
In one paragraph

Article in ISME communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yusuke OkazakiInstitute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan.ORCID https://orcid.org/0000-0001-8770-2774
Yohei NishikawaComputational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-0072, Japan.ORCID https://orcid.org/0000-0001-5443-7230
Ryota WagatsumaComputational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-0072, Japan.ORCID https://orcid.org/0000-0001-5400-7521
Haruko TakeyamaComputational Bio Big-Data Open Innovation Laboratory, AIST-Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-0072, Japan.ORCID https://orcid.org/0000-0002-2058-8185
Shin-Ichi NakanoCenter for Ecological Research, Kyoto University  2-509-3 Hirano, Otsu, Shiga 520-2113, Japan.ORCID https://orcid.org/0000-0001-5235-8547

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing virus-host pairs and the infection state of individual cells is the major technical challenge in microbial ecology. We addressed these challenges using state-of-the-art single-cell genome technology (SAG-gel) combined with extensive metagenomic datasets targeting the bacterial and viral communities in Lake Biwa. From two water layers and two seasons, we obtained 862 single-cell amplified genomes (SAGs), including 176 viral (double-stranded DNA phage) contigs, which identified novel virus-host pairs involving dominant freshwater lineages. The viral infection rate, estimated by mapping the individual SAG's raw reads to viral contigs, showed little variation among samples (12.1%-18.1%) but significant variation in host taxonomy (4.2%-65.3%), with copiotrophs showing higher values than oligotrophs. The high infection rates of copiotrophs were attributed to collective infection by diverse viruses, suggesting weak density-dependent virus-host selection, presumably due to their nonpersistent interactions with viruses resulting from fluctuating abundance. In contrast, the low infection rates of oligotrophs supported the idea that their codominance with viruses is achieved by genomic microdiversification, which diversifies the virus-host specificity, sustained by their large population size and persistent density-dependent fluctuating selection. Notably, we discovered viruses infecting CL500-11, the dominant bacterioplankton lineage in deep freshwater lakes worldwide. These viruses showed extremely high read coverages in cellular and virion metagenomes but were detected in <1% of host cells, suggesting a low infection rate and high burst size. Overall, we revealed highly diverse virus-host interactions within and between host lineages that were overlooked at the metagenomic resolution.

Indexed as

lake bacterioplanktonsingle-cell genomicsvirus–host interaction

Identifiers

PMID40487916
PMCPMC12143481

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.