Evidence map›Paper›PMID 30189587›Full record

ReviewViruses2018

Why Are Algal Viruses Not Always Successful?

Elena L Horas, Loukas Theodosiou, Lutz Becks

Abstract readReview
In one paragraph

Review in Viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Evidence of nitrate-based nighttime atmospheric nucleation driven by marine microorganisms in the South Pacific.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

3 authors.

Elena L HorasCommunity Dynamics Group, Max-Planck for Evolutionary Biology, 24306 Plön, Germany. elena.horas@uni-konstanz.de.
Loukas TheodosiouCommunity Dynamics Group, Max-Planck for Evolutionary Biology, 24306 Plön, Germany. theodosiou@evolbio.mpg.de.
Lutz BecksCommunity Dynamics Group, Max-Planck for Evolutionary Biology, 24306 Plön, Germany. lutz.becks@uni-konstanz.de.ORCID 0000-0002-3885-5253

Funding

Deutsche Forschungsgemeinschaft BE 4135/8-1Heisenberg Stipend BE 4135/7-1IMPRS for Evolutionary Biology 3-year Doctoral program
6 · The paper itself

Abstract

Algal viruses are considered to be key players in structuring microbial communities and biogeochemical cycles due to their abundance and diversity within aquatic systems. Their high reproduction rates and short generation times make them extremely successful, often with immediate and strong effects for their hosts and thus in biological and abiotic environments. There are, however, conditions that decrease their reproduction rates and make them unsuccessful with no or little immediate effects. Here, we review the factors that lower viral success and divide them into intrinsic-when they are related to the life cycle traits of the virus-and extrinsic factors-when they are external to the virus and related to their environment. Identifying whether and how algal viruses adapt to disadvantageous conditions will allow us to better understand their role in aquatic systems. We propose important research directions such as experimental evolution or the resurrection of extinct viruses to disentangle the conditions that make them unsuccessful and the effects these have on their surroundings.

Indexed as

Host-Parasite InteractionsAdaptation, BiologicalAquatic OrganismsPhycodnaviridaealgal virusesburst sizeeffectshost resistanceintrinsic and extrinsic factorslatent periodstressorssunlighttemperatureviral life cycle traits

Identifiers

PMID30189587
PMCPMC6165140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.