Evidence map›Paper›PMID 40873210›Full record

ArticleThe New phytologist2025

Mapping the transcriptional landscape of algal resistance to viral infection reveals a core expression program.

Talia S Shaler, Amir Fromm, Daniella Schatz, Shifra Ben-Dor, Ester Feldmesser, Assaf Vardi

Abstract read
In one paragraph

Article in The New phytologist, 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

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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Talia S ShalerDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, 7610001, Rehovot, Israel.ORCID https://orcid.org/0009-0002-7528-3845
Amir FrommDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, 7610001, Rehovot, Israel.ORCID https://orcid.org/0000-0002-0148-9026
Daniella SchatzDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, 7610001, Rehovot, Israel.ORCID https://orcid.org/0000-0003-2740-8391
Shifra Ben-DorBioinformatics Unit, Life Sciences Core Facilities, Weizmann Institute of Science, 7610001, Rehovot, Israel.ORCID https://orcid.org/0000-0001-9604-1939
Ester FeldmesserBioinformatics Unit, Life Sciences Core Facilities, Weizmann Institute of Science, 7610001, Rehovot, Israel.ORCID https://orcid.org/0000-0002-7017-4861
Assaf VardiDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, 7610001, Rehovot, Israel.ORCID https://orcid.org/0000-0002-7079-0234

Funding

Simons Foundation 150809
6 · The paper itself

Abstract

Algal blooms and their demise by viruses drive global-scale ecological processes in the ocean. These blooms form the foundation of marine food webs, regulate microbial communities, and shape biogeochemical cycles. Although algal populations are constantly infected by viruses, resistant subpopulations frequently emerge after the infection. Yet, antiviral molecular mechanisms of marine microalgae are underexplored. We used a model system of the ubiquitous microalga Gephyrocapsa huxleyi and its giant virus, Emiliania huxleyi virus (EhV), to study how resistant populations evolve and to identify their transcriptional programs. We generated a detailed temporal transcriptomic dataset during a viral infection, covering the stages of lysis and the recovery of a resistant subpopulation. Viral infection triggered prominent transcriptome changes to support viral propagation, followed by a unique transcriptional response in resistant cells. Both infected and resistant cells highly expressed innate immune response genes, notably those with Toll/interleukin-1 receptor (TIR) domain. Additionally, resistant cells expressed genes involved in membrane-bound glycan remodeling, sphingolipid metabolism, and nutrient uptake. Using comparative transcriptomics across diverse resistant G. huxleyi strains, we identified a core group of resistance-related genes, providing a set of gene markers to detect this rare phenotype during the host-virus arms race in algal blooms.

Indexed as

Disease ResistanceHaptophytaMicroalgaeTranscription, GeneticTranscriptomeGene Expression ProfilingPhycodnaviridaealgal bloomsalgal resistanceEmiliania huxleyi virusGephyrocapsa huxleyimarine microalgaephenotypic heterogeneityTIR domainviral infection transcriptome

Identifiers

PMID40873210
PMCPMC12489294

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LicenceCC BY-NC
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Registered trials

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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.