Evidence map›Paper›PMID 40284956›Full record

ArticleViruses2025

Distinguishing Lytic and Temperate Infection Dynamics in the Environment.

Isha Tripathi, Naomi Barber-Choi, Lauren Woodward, Natalie Falta, Natalia Shahwan, Nickie Yang, Ben Knowles

Abstract read
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Isha TripathiDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.ORCID 0009-0008-1384-5009
Naomi Barber-ChoiDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.ORCID 0009-0003-2467-6478
Lauren WoodwardDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.
Natalie FaltaDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.
Natalia ShahwanDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.
Nickie YangDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.ORCID 0009-0009-1256-1896
Ben KnowlesDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-0800-102X

Funding

NSF OCE-2201645
6 · The paper itself

Abstract

Viral infection and lysis drive bacterial diversity and abundances, ultimately regulating global biogeochemical cycles. Infection can follow lytic or temperate routes, with lytic dynamics suppressing bacterial population growth and temperate infection enhancing it. Given that bacterial over-proliferation is a pervasive threat to ecosystems, determining which infection dynamic dominates a given ecosystem is a central question in viral ecology. However, the fields that describe and test the rules of viral infection-theoretical ecology and environmental microbiology, respectively-remain disconnected. To address this, we simulated common empirical approaches to analyze and distinguish between the predictions of three theoretical models mechanistically representing lytic to temperate infection dynamics. By doing so, we found that the models have remarkably similar predictions despite their mechanistic differences, as shown by PCA and correlation analyses. Essentially, the models are only discernable under simulated nutrient addition, where lytic models become less stable with no increase in host densities while the temperate model remains stable and has elevated host abundances. Highlighting this difference between the models, we present a dichotomous key illustrating how researchers can determine whether lytic or temperate infection dynamics dominate their ecosystem of interest using common metrics and empirical approaches.

Indexed as

BacteriaBacteriophagesEnvironmental MicrobiologyEcosystemModels, BiologicalModels, Theoreticallytictemperatetheoretical modelviral ecology

Identifiers

PMID40284956
PMCPMC12031542

What OpenQuestion holds

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LicenceCC BY
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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.