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Nature Ecology & Evolution· 2026Q1

Drift, selection and recombination bias drive the evolution of a non-ribosomal peptide

Sebastian Kaiser, Niayesh Shahmohammadi, Trinetri S. M. Goel, Charles J. Buchanan et al.

Short summary

Evolution of non-ribosomal peptides (NRPs) like antibiotics is driven by selection, but also significantly influenced by genetic drift and biased recombination rates, limiting accessible variants.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Dozens of new non-ribosomal GameXPeptides were discovered, showing patterns of structural convergence.
  • Evolution of GameXPeptides is driven by both natural selection and non-adaptive forces.
  • Genetic drift and biased recombination rates significantly limit the range of accessible peptide variants.
  • Recombination-aware phylogenetics and ancestral sequence reconstruction were key methods.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract Non-ribosomal peptides play important roles in microbial ecology and medicine, for example as toxins and antibiotics such as penicillin. Like ordinary proteins, non-ribosomal peptides are subject to evolutionary change, which is driven by rampant recombinations of their synthetases. The evolutionary dynamics and causes of non-ribosomal peptide diversification are not well understood, because recombinations complicate phylogenetic analysis and statistical tests for natural selection and drift. Here we study the non-ribosomal GameXPeptides, which entomopathogenic bacteria use to kill their insect prey. We use recombination-aware phylogenetics, ancestral sequence reconstruction and statistical analysis of historical recombination patterns to retrace the evolution of GameXPeptides. This uncovers dozens of new GameXPeptides, including striking patterns of structural convergence. We provide statistical and experimental evidence that this diversity is shaped by selection, but also that GameXPeptides experience substantial genetic drift and biased recombination rates that limit the space of accessible peptide variants. Our work illuminates the complex interplay of adaptive and non-adaptive evolutionary forces acting on some of the most versatile chemical weapons in nature.

The authors' abstract, as published at the source. Nature Ecology & Evolution, 2026 · DOI ↗

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Field: Genetics (Biochemistry, Genetics and Molecular Biology)

GeneticsBiochemistry, Genetics and Molecular Biology