Evidence map›Paper›PMID 35467417›Full record

ArticlemBio2022

An Optimal Lysis Time Maximizes Bacteriophage Fitness in Quasi-Continuous Culture.

Sherin Kannoly, Abhyudai Singh, John J Dennehy

Open access · goldAbstract read
In one paragraph

Article in mBio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  6. Phage N4 uses a SAR endolysin-holin system for host cell lysis.bioRxiv : the preprint server for biology · 2025
    Article
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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

3 authors at 2 institutions in 1 country.

Sherin KannolyBiology Department, Queens College of The City University of New York, New York City, New York, USA.
Abhyudai SinghDepartment of Electrical and Computer Engineering, University of Delaware, Newark, Delaware, USA.
John J DennehyBiology Department, Queens College of The City University of New York, New York City, New York, USA.ORCID 0000-0002-9678-4529
Queens College, CUNY · USUniversity of Delaware · US

Funding

Generalized fluctuation test for deciphering phenotypic switching within cell populationsR35GM148351 · NIGMS · UNIVERSITY OF DELAWARE · PI Abhyudai Singh · 2023 to 2026
$1.6M
Consequences and Control of Randomness in Timing of Intracellular EventsR01GM124446 · NIGMS · UNIVERSITY OF DELAWARE · PI SINGH, ABHYUDAI · 2017 to 2020
$914k
Stochastic hybrid systems approach to uncovering cell-size control mechanisms R01GM126557 · NIGMS · UNIVERSITY OF DELAWARE · PI SINGH, ABHYUDAI · 2017 to 2019
$675k
NIGMS NIH HHS R01 GM124446NIGMS NIH HHS R01 GM126557NIGMS NIH HHS R35 GM148351
6 · The paper itself

Abstract

Optimality models have a checkered history in evolutionary biology. While optimality models have been successful in providing valuable insight into the evolution of a wide variety of biological traits, a common objection is that optimality models are overly simplistic and ignore organismal genetics. We revisit evolutionary optimization in the context of a major bacteriophage life history trait, lysis time. Lysis time refers to the period spanning phage infection of a host cell and its lysis, whereupon phage progenies are released. Lysis time, therefore, directly determines phage fecundity assuming progeny assembly does not exhaust host resources prior to lysis. Noting that previous tests of lysis time optimality rely on batch culture, we implemented a quasi-continuous culture system to observe productivity of a panel of isogenic phage λ genotypes differing in lysis time. We report that under our experimental conditions, λ phage productivity is maximized around optimal lysis times ranging from 60 to 100 min, and λ wildtype strain falls within this range. It would appear that natural selection on phage λ lysis time uncovered a set of genetic solutions that optimized progeny production in its ecological milieu relative to alternative genotypes. We discuss this finding in light of recent results that lysis time variation is also minimized in the strains with lysis times closer to the λ wild-type strain.

Indexed as

Bacteriophage lambdaCell DeathGenotypePhenotypeTime Factorsadaptationbacteriophage lambdaevent timingholinlife history traitsoptimizationtiming of reproduction

Identifiers

PMID35467417
PMCPMC9239172
OpenAlexW4226082633

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.