ArticleNucleic acids research2023
Systematic identification of gene-altering programmed inversions across the bacterial domain.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- A programmed reset mechanism primesScience advances · 2026Article
- Non-canonical gene amplifications facilitate adaptive evolution in bacteria.Nature microbiology · 2026Article
- Maximizing bacterial survival: integrating sense-and-respond and bet-hedging mechanisms.Trends in microbiology · 2025Review
- Bacteriophage-driven DNA inversions shape bacterial functionality and long-term co-existence inGut microbes · 2025Article
- Comprehensive profiling of genomic invertons in defined gut microbial community reveals associations with intestinal colonization and surface adhesion.Microbiome · 2025Article
- Article
- A metagenomics pipeline reveals insertion sequence-driven evolution of the microbiota.Cell host & microbe · 2024Article
- Inflammation and bacteriophages affect DNA inversion states and functionality of the gut microbiota.Cell host & microbe · 2024Article
- A metagenomics pipeline reveals insertion sequence-driven evolution of the microbiota.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Programmed chromosomal inversions allow bacteria to generate intra-population genotypic and functional heterogeneity, a bet-hedging strategy important in changing environments. Some programmed inversions modify coding sequences, producing different alleles in several gene families, most notably in specificity-determining genes such as Type I restriction-modification systems, where systematic searches revealed cross phylum abundance. Yet, a broad, gene-independent, systematic search for gene-altering programmed inversions has been absent, and little is known about their genomic sequence attributes and prevalence across gene families. Here, identifying intra-species variation in genomes of over 35 000 species, we develop a predictive model of gene-altering inversions, revealing key attributes of their genomic sequence attributes, including gene-pseudogene size asymmetry and orientation bias. The model predicted over 11,000 gene-altering loci covering known targeted gene families, as well as novel targeted families including Type II restriction-modification systems, a protein of unknown function, and a fusion-protein containing conjugative-pilus and phage tail domains. Publicly available long-read sequencing datasets validated representatives of these newly predicted inversion-targeted gene families, confirming intra-population genetic heterogeneity. Together, these results reveal gene-altering programmed inversions as a key strategy adopted across the bacterial domain, and highlight programmed inversions that modify Type II restriction-modification systems as a possible new mechanism for maintaining intra-population heterogeneity.
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