Evidence map›Paper›PMID 37824628›Full record

ArticleScience advances2023

Daily turnover of active giant virus infection during algal blooms revealed by single-cell transcriptomics.

Gur Hevroni, Flora Vincent, Chuan Ku, Uri Sheyn, Assaf Vardi

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.0field-weighted citation impact, top 5% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

17 citing papers in PubMed, 20 citations in OpenAlex.

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  7. Mapping of the viral shunt across widespread coccolithophore blooms using metabolic biomarkers.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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 at 1 institution in 1 country.

Gur HevroniDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, 7610010, Israel.ORCID 0000-0002-2066-0466
Flora VincentDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, 7610010, Israel.ORCID 0000-0001-6976-3004
Chuan KuDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, 7610010, Israel.ORCID 0000-0001-6414-4423
Uri SheynDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, 7610010, Israel.ORCID 0000-0002-0997-3533
Assaf VardiDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, 7610010, Israel.ORCID 0000-0002-7079-0234
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giant viruses infect many unicellular eukaryotes, including algae that form massive oceanic blooms. Despite the major impact of viruses on the marine ecosystem, the ability to quantify and assess active viral infection in nature remains a major challenge. We applied single-cell RNA sequencing, to profile virus and host transcriptomes of 12,000 single algal cells from a coccolithophore bloom. Viral infection was detected already at early exponential bloom phase, negatively correlating with the bloom intensity. A consistent percent of infected coccolithophores displayed the early phase of viral replication for several consecutive days, indicating a daily turnover and continuous virocell-associated metabolite production, potentially affecting the surrounding microbiome. Linking single-cell infection state to host physiology revealed that infected cells remained calcified even in the late infection stage. These findings stress the importance of studying host-virus dynamics in natural populations, at single-cell resolution, to better understand virus life cycle and its impact on microbial food webs.

Indexed as

Giant VirusesVirus DiseasesEcosystemEutrophicationHumansTranscriptome

Identifiers

PMID37824628
PMCPMC10569711
OpenAlexW4387568642

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.