Evidence map›Paper›PMID 26921293›Full record

ArticleG3 (Bethesda, Md.)2016

Genetically Determined Variation in Lysis Time Variance in the Bacteriophage φX174.

Christopher W Baker, Craig R Miller, Tanayott Thaweethai, Jeffrey Yuan, Meghan Hollibaugh Baker, Paul Joyce, Daniel M Weinreich

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Christopher W BakerDepartment of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912 baker03@g.harvard.edu.ORCID 0000-0002-0819-882X
Craig R MillerDepartment of Mathematics, University of Idaho, Moscow, Idaho 83844 Department of Biological Sciences, University of Idaho, Moscow, Idaho 83844 Center for Modeling Complex Interactions, University of Idaho, Moscow, Idaho 83844.
Tanayott ThaweethaiDepartment of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912.ORCID 0000-0003-0613-4176
Jeffrey YuanDepartment of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912.ORCID 0000-0003-3855-1994
Meghan Hollibaugh BakerDepartment of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912.ORCID 0000-0003-3226-0811
Paul JoyceDepartment of Mathematics, University of Idaho, Moscow, Idaho 83844.
Daniel M WeinreichDepartment of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912 Center for Computational Molecular Biology, Brown University, Providence, Rhode Island 02912.ORCID 0000-0003-1424-7541
Brown University · USUniversity of Idaho · US

Funding

Patterns of Adaptive EvolutionR01GM076040 · NIGMS · UNIVERSITY OF IDAHO · PI MILLER, CRAIG R, WICHMAN, HOLLY A · 2006 to 2021
$3.6M
NIGMS NIH HHS R01 GM076040
6 · The paper itself

Abstract

Researchers in evolutionary genetics recently have recognized an exciting opportunity in decomposing beneficial mutations into their proximal, mechanistic determinants. The application of methods and concepts from molecular biology and life history theory to studies of lytic bacteriophages (phages) has allowed them to understand how natural selection sees mutations influencing life history. This work motivated the research presented here, in which we explored whether, under consistent experimental conditions, small differences in the genome of bacteriophage φX174 could lead to altered life history phenotypes among a panel of eight genetically distinct clones. We assessed the clones' phenotypes by applying a novel statistical framework to the results of a serially sampled parallel infection assay, in which we simultaneously inoculated each of a large number of replicate host volumes with ∼1 phage particle. We sequentially plated the volumes over the course of infection and counted the plaques that formed after incubation. These counts served as a proxy for the number of phage particles in a single volume as a function of time. From repeated assays, we inferred significant, genetically determined heterogeneity in lysis time and burst size, including lysis time variance. These findings are interesting in light of the genetic and phenotypic constraints on the single-protein lysis mechanism of φX174. We speculate briefly on the mechanisms underlying our results, and we discuss the potential importance of lysis time variance in viral evolution.

Indexed as

Genetic VariationSelection, GeneticAlgorithmsBacteriolysisBacteriophage phi X 174Gene OrderGenome, ViralModels, BiologicalMutationevolutionary theorygenetics of adaptationlife historylysis timevariance

Identifiers

PMID26921293
PMCPMC4825663
OpenAlexW2275942404

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.