Evidence map›Paper›PMID 33969482›Full record

ArticleEvolution; international journal of organic evolution2021

Effects of historical co-infection on host shift abilities of exploitative and competitive viruses.

Sonia Singhal, Paul E Turner

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Open questions in the social lives of viruses.Journal of evolutionary biology · 2023
    Review
  5. 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

2 authors.

Sonia SinghalDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, 06520, USA.ORCID 0000-0002-5531-8193
Paul E TurnerDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, 06520, USA.

Funding

SEEDING POSTDOCTORAL INNOVATORS IN RESEARCH &EDUCATIONK12GM000678 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DONALD T LYSLE, Kathryn Joanna Reissner · 1999 to 2026
$30.9M
NIGMS NIH HHS K12 GM000678
6 · The paper itself

Abstract

Rapid evolution contributes to frequent emergence of RNA viral pathogens on novel hosts. However, accurately predicting which viral genotypes will emerge has been elusive. Prior work with lytic RNA bacteriophage ɸ6 (family Cystoviridae) suggested that evolution under low multiplicity of infection (MOI; proportion of viruses to susceptible cells) selected for greater host exploitation, while evolution under high MOI selected for better intracellular competition against co-infecting viruses. We predicted that phage genotypes that had experienced 300 generations of low MOI ecological history would be relatively advantaged in initial growth on two novel hosts. We inferred viral growth through changes in host population density, specifically by analyzing five attributes of growth curves of infected bacteria. Despite equivalent growth of evolved viruses on the original host, low MOI evolved clones were generally advantaged relative to high MOI clones in exploiting novel hosts. However, the specific attributes of growth curves that supported their advantage differed by host, indicating interactions between both viral and host genotype. Although there will be host specificity in viral growth, we suggest based on infectivity differences of viruses from high versus low MOI histories that prior MOI selection can later affect emergence potential.

Indexed as

BacteriophagesCoinfectionRNA VirusesHumansEcological historyhost shiftmultiplicity of infectionRNA virus

Identifiers

PMID33969482
PMCPMC12058955

What OpenQuestion holds

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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.