ArticleNature communications2019
Survival of the simplest in microbial evolution.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed.
- Article
- Enzyme kinetics shapes the growth response of metabolic networks.PLoS computational biology · 2026Article
- Concepts and Methods for Predicting Viral Evolution.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Concepts and methods for predicting viral evolution.bioRxiv : the preprint server for biology · 2024Article
- Article
- Rapid functional activation of horizontally transferred eukaryotic intron-containing genes in the bacterial recipient.Nucleic acids research · 2024Article
- A dynamical limit to evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems.Biomimetics (Basel, Switzerland) · 2023Review
- A dynamical limit to evolutionary adaptation.bioRxiv : the preprint server for biology · 2023Article
- Article
- Innate immune pathways act synergistically to constrain RNA virus evolution in Drosophila melanogaster.Nature ecology & evolution · 2022Article
- Antigenic waves of virus-immune coevolution.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Adaptive evolution of hybrid bacteria by horizontal gene transfer.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Eco-evolutionary control of pathogens.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Evolutionary stalling and a limit on the power of natural selection to improve a cellular module.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evolution of microbial and viral organisms often generates clonal interference, a mode of competition between genetic clades within a population. Here we show how interference impacts systems biology by constraining genetic and phenotypic complexity. Our analysis uses biophysically grounded evolutionary models for molecular phenotypes, such as fold stability and enzymatic activity of genes. We find a generic mode of phenotypic interference that couples the function of individual genes and the population's global evolutionary dynamics. Biological implications of phenotypic interference include rapid collateral system degradation in adaptation experiments and long-term selection against genome complexity: each additional gene carries a cost proportional to the total number of genes. Recombination above a threshold rate can eliminate this cost, which establishes a universal, biophysically grounded scenario for the evolution of sex. In a broader context, our analysis suggests that the systems biology of microbes is strongly intertwined with their mode of evolution.
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Registered trials
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.