Evidence map›Paper›PMID 30272027›Full record

ArticleCommunications biology2018

Fitness variation in isogenic populations leads to a novel evolutionary mechanism for crossing fitness valleys.

Debra Van Egeren, Thomas Madsen, Franziska Michor

Abstract read
In one paragraph

Article in Communications biology, 2018. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Evolutionary dynamics under phenotypic uncertainty.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
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.

Debra Van EgerenDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0002-4017-0413
Thomas MadsenDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA.
Franziska MichorDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA. michor@jimmy.harvard.edu.ORCID http://orcid.org/0000-0003-4869-8842

Funding

Training Grant in Quantitative Sciences for Cancer ResearchT32CA009337 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QUACKENBUSH, JOHN, TRIPPA, LORENZO · 1986 to 2025
$12.3M
Project 3: Single Cell Measures of Intratumor Diversity for Optimal Breast Cancer TherapyU54CA193461 · NCI · DANA-FARBER CANCER INST · PI MICHOR, FRANZISKA · 2015 to 2020
$11.2M
Harvard Systems Biology Graduate ProgramT32GM080177 · NIGMS · HARVARD UNIVERSITY · PI MITCHISON, TIMOTHY J, MURRAY, ANDREW W · 2010 to 2019
$2.8M
NCI NIH HHS U54 CA193461NIGMS NIH HHS T32 GM080177
6 · The paper itself

Abstract

Individuals in a population often have different fitnesses even when they have identical genotypes, but the effect of this variation on the evolution of a population through complicated fitness landscapes is unknown. Here, we investigate how populations with non-genetic fitness variation cross fitness valleys, common barriers to adaptation in rugged fitness landscapes in which a population must pass through a deleterious intermediate to arrive at a final advantageous stage. We develop a stochastic computational model describing the dynamics of an asexually reproducing population crossing a fitness valley, in which individuals of the same evolutionary stage can have variable fitnesses. We find that fitness variation that persists over multiple generations increases the rate of valley crossing through a novel evolutionary mechanism different from previously characterized mechanisms such as stochastic tunneling. By reducing the strength of selection against deleterious intermediates, persistent fitness variation allows for faster adaptation through rugged fitness landscapes.

Identifiers

PMID30272027
PMCPMC6158234

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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.