Evidence map›Paper›PMID 31216651›Full record

ArticlePathogens (Basel, Switzerland)2019

Evolutionary Dynamics in the RNA Bacteriophage Qβ Depends on the Pattern of Change in Selective Pressures.

Pilar Somovilla, Susanna Manrubia, Ester Lázaro

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Hierarchical genotype networks and incipient ecological speciation in Q[Formula: see text] phage quasispecies.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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.

Pilar SomovillaCentro de Astrobiología (CSIC-INTA), 28850 Torrejón de Ardoz, Madrid, Spain. psomovilla@cnb.csic.es.
Susanna ManrubiaCentro Nacional de Biotecnología (CSIC), 28049 Madrid, Spain. smanrubia@cnb.csic.es.ORCID 0000-0003-0134-2785
Ester LázaroCentro de Astrobiología (CSIC-INTA), 28850 Torrejón de Ardoz, Madrid, Spain. lazarole@cab.inta-csic.es.

Funding

Spanish Ministerio de Ciencia, Innovación y Universidades FIS2017-89773-P
6 · The paper itself

Abstract

The rate of change in selective pressures is one of the main factors that determines the likelihood that populations can adapt to stress conditions. Generally, the reduction in the population size that accompanies abrupt environmental changes makes it difficult to generate and select adaptive mutations. However, in systems with high genetic diversity, as happens in RNA viruses, mutations with beneficial effects under new conditions can already be present in the population, facilitating adaptation. In this work, we have propagated an RNA bacteriophage (Qβ) at temperatures higher than the optimum, following different patterns of change. We have determined the fitness values and the consensus sequences of all lineages throughout the evolutionary process in order to establish correspondences between fitness variations and adaptive pathways. Our results show that populations subjected to a sudden temperature change gain fitness and fix mutations faster than those subjected to gradual changes, differing also in the particular selected mutations. The life-history of populations prior to the environmental change has great importance in the dynamics of adaptation. The conclusion is that in the bacteriophage Qβ, the standing genetic diversity together with the rate of temperature change determine both the rapidity of adaptation and the followed evolutionary pathways.

Indexed as

adaptationbacteriophage Qβevolutionary pathwaysfitness dynamicsgenetic diversitypattern of changeRNA viruses

Identifiers

PMID31216651
PMCPMC6631425

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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.