Evidence map›Paper›PMID 37645887›Full record

ArticlebioRxiv : the preprint server for biology2023

Competition-driven eco-evolutionary feedback reshapes bacteriophage lambda's fitness landscape and enables speciation.

Michael B Doud, Animesh Gupta, Victor Li, Sarah J Medina, Caesar A De La Fuente, Justin R Meyer

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Michael B DoudDepartment of Medicine, Division of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, USA.
Animesh GuptaDepartment of Ecology, Behavior and Evolution, University of California San Diego, San Diego, CA, USA.
Victor LiDepartment of Ecology, Behavior and Evolution, University of California San Diego, San Diego, CA, USA.
Sarah J MedinaDepartment of Ecology, Behavior and Evolution, University of California San Diego, San Diego, CA, USA.
Caesar A De La FuenteDepartment of Ecology, Behavior and Evolution, University of California San Diego, San Diego, CA, USA.
Justin R MeyerDepartment of Ecology, Behavior and Evolution, University of California San Diego, San Diego, CA, USA.
University of California San Diego · US

Funding

RESEARCH IN INFECTIOUS DISEASEST32AI007036 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NIZET, VICTOR · 1985 to 2025
$9.2M
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
NIAID NIH HHS T32 AI007036NIH HHS S10 OD026929
6 · The paper itself

Abstract

A major challenge in evolutionary biology is explaining how populations navigate rugged fitness landscapes without getting trapped on local optima. One idea illustrated by adaptive dynamics theory is that as populations adapt, their newly enhanced capacities to exploit resources alter fitness payoffs and restructure the landscape in ways that promote speciation by opening new adaptive pathways. While there have been indirect tests of this theory, none have measured how fitness landscapes deform during adaptation, or test whether these shifts promote diversification. Here, we achieve this by studying bacteriophage λ, a virus that readily speciates into co-existing receptor specialists under controlled laboratory conditions. We used a high-throughput gene editing-phenotyping technology to measure λ's fitness landscape in the presence of different evolved-λ competitors and found that the fitness effects of individual mutations, and their epistatic interactions, depend on the competitor. Using these empirical data, we simulated λ's evolution on an unchanging landscape and one that recapitulates how the landscape deforms during evolution. λ heterogeneity only evolved in the shifting landscape regime. This study provides a test of adaptive dynamics, and, more broadly, shows how fitness landscapes dynamically change during adaptation, potentiating phenomena like speciation by opening new adaptive pathways.

Identifiers

PMID37645887
PMCPMC10461988
OpenAlexW4385836827

What OpenQuestion holds

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LicenceCC BY-NC
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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.