Evidence map›Paper›PMID 42907564›Full record

ArticleNature ecology & evolution2026

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

Sebastian Kaiser, Niayesh Shahmohammadi, Trinetri S M Goel, Charles J Buchanan, Sriram G Garg, Daniela Vidaurre-Barahona, Zhengyi Qian, Claire Lefèvre, Daniel Schindler, Yonggyun Kim and 2 more

Abstract read
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Article in Nature ecology & evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Sebastian KaiserDepartment of Natural Products in Organismic Interactions, Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany.ORCID http://orcid.org/0009-0009-3156-4822
Niayesh ShahmohammadiSchool of Life Sciences and Engineering, Gyeongkuk National University, Andong, Korea.ORCID http://orcid.org/0000-0003-1875-1227
Trinetri S M GoelDepartment of Natural Products in Organismic Interactions, Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany.
Charles J BuchananEvolutionary Biochemistry Group, Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany.ORCID http://orcid.org/0000-0002-1840-5706
Sriram G GargEvolutionary Biochemistry Group, Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany.
Daniela Vidaurre-BarahonaDepartment of Natural Products in Organismic Interactions, Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany.ORCID http://orcid.org/0000-0002-9221-0560
Zhengyi QianDepartment of Natural Products in Organismic Interactions, Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany.
Claire LefèvreDepartment of Natural Products in Organismic Interactions, Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany.
Daniel SchindlerMax Planck Institute for Terrestrial Microbiology, Marburg, Germany.ORCID http://orcid.org/0000-0001-7423-6540
Yonggyun KimSchool of Life Sciences and Engineering, Gyeongkuk National University, Andong, Korea.
Helge B BodeDepartment of Natural Products in Organismic Interactions, Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany. helge.bode@mpi-marburg.mpg.de.ORCID http://orcid.org/0000-0001-6048-5909
Georg K A HochbergEvolutionary Biochemistry Group, Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany. georg.hochberg@mpi-marburg.mpg.de.ORCID http://orcid.org/0000-0002-7155-0451

Funding

Human Frontier Science Program (HFSP) LT0018/2024-LHuman Frontier Science Program (HFSP) RGP0028National Research Foundation of Korea (NRF) 2022R1A2B5B03001792
6 · The paper itself

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.

Identifiers

PMID42907564

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