ArticleGenome biology and evolution2021
Universal Constraints on Protein Evolution in the Long-Term Evolution Experiment with Escherichia coli.
Article in Genome biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 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
5 citing papers in PubMed.
- Sequence redesign of glycosyltransferases for enhanced heterologous expression and glycosylation efficiency in Escherichia coli.Nature communications · 2026Article
- Idiosyncratic Purifying Selection on Metabolic Enzymes in the Long-Term Evolution Experiment with Escherichia coli.Genome biology and evolution · 2022Article
- Purifying selection enduringly acts on the sequence evolution of highly expressed proteins in Escherichia coli.G3 (Bethesda, Md.) · 2022Article
- Discovery of positive and purifying selection in metagenomic time series of hypermutator microbial populations.PLoS genetics · 2022Article
- Selection Maintains Protein Interactome Resilience in the Long-Term Evolution Experiment with Escherichia coli.Genome biology and evolution · 2021Article
Corrections and comments
- Erratum issuedCorrigendum.2021
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although it is well known that abundant proteins evolve slowly across the tree of life, there is little consensus for why this is true. Here, I report that abundant proteins evolve slowly in the hypermutator populations of Lenski's long-term evolution experiment with Escherichia coli (LTEE). Specifically, the density of all observed mutations per gene, as measured in metagenomic time series covering 60,000 generations of the LTEE, significantly anticorrelates with mRNA abundance, protein abundance, and degree of protein-protein interaction. The same pattern holds for nonsynonymous mutation density. However, synonymous mutation density, measured across the LTEE hypermutator populations, positively correlates with protein abundance. These results show that universal constraints on protein evolution are visible in data spanning three decades of experimental evolution. Therefore, it should be possible to design experiments to answer why abundant proteins evolve slowly.
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