Evidence map›Paper›PMID 30808620›Full record

ArticleGenetics2019

No Cost of Complexity in Bacteriophages Adapting to a Complex Environment.

Andrew M Sackman, Darin R Rokyta

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2019. 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
0.4field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 5 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

2 authors at 1 institution in 1 country.

Andrew M SackmanCenter for Evolution and Medicine, Arizona State University, Tempe, Arizona 85287 amsackma@asu.edu.
Darin R RokytaDepartment of Biological Science, Florida State University, Tallahassee, Florida 32306.
Florida State University · US

Funding

Pleiotropy, Epistasis, and the Biophysical Adaptation of ssDNA BacteriophagesR01GM099723 · NIGMS · FLORIDA STATE UNIVERSITY · PI ROKYTA, DARIN R · 2012 to 2016
$1.0M
NIGMS NIH HHS R01 GM099723
6 · The paper itself

Abstract

A long-standing prediction in evolutionary biology is that organisms experience a so-called "cost of complexity" manifested as a decreasing rate of adaptation in populations as organisms or selective environments become increasingly complex. This theory assumes the ubiquity of antagonistic pleiotropy, or trade-offs in fitness, for mutations affecting multiple traits or phenotypes. A particular manifestation of antagonism thought to be at play in adaptive dynamics involves the relationship between viral growth rate and capsid stability, an interaction that may impede the adaptation of viral pathogens to novel hosts and environments. Here, we present a comparison of the genetics of adaptation for populations of bacteriophages undergoing complete adaptive walks under both simple and complex selective conditions, with complexity being determined by the number of traits under directional selection. We found no evidence for a long-term cost of complexity in viruses experiencing complex selection, with on average at least as great a rate of adaptation under more complex conditions, and rampant evidence for synergistic, rather than antagonistic, pleiotropy. The lack of evident trade-offs between multiple phenotypes implies that emerging pathogens may be able to improve their growth in many different hosts or environments simultaneously, and to do so at a faster rate than previously anticipated.

Indexed as

Evolution, MolecularGenetic PleiotropyMutationBacteriophagesBiological EvolutionEscherichia coliGenetic FitnessSelection, GeneticWhole Genome Sequencingantagonistic pleiotropycost of complexityviral evolution

Identifiers

PMID30808620
PMCPMC6499518
OpenAlexW2952429644

What OpenQuestion holds

Textmetadata
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.