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Systematic identification of gene-altering programmed inversions across the bacterial domain
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 s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881135/ https://www.ncbi.nlm.nih.gov/pubmed/36617974 http://dx.doi.org/10.1093/nar/gkac1166 |
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author | Milman, Oren Yelin, Idan Kishony, Roy |
author_facet | Milman, Oren Yelin, Idan Kishony, Roy |
author_sort | Milman, Oren |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9881135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98811352023-01-31 Systematic identification of gene-altering programmed inversions across the bacterial domain Milman, Oren Yelin, Idan Kishony, Roy Nucleic Acids Res Computational Biology 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. Oxford University Press 2023-01-09 /pmc/articles/PMC9881135/ /pubmed/36617974 http://dx.doi.org/10.1093/nar/gkac1166 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Computational Biology Milman, Oren Yelin, Idan Kishony, Roy Systematic identification of gene-altering programmed inversions across the bacterial domain |
title | Systematic identification of gene-altering programmed inversions across the bacterial domain |
title_full | Systematic identification of gene-altering programmed inversions across the bacterial domain |
title_fullStr | Systematic identification of gene-altering programmed inversions across the bacterial domain |
title_full_unstemmed | Systematic identification of gene-altering programmed inversions across the bacterial domain |
title_short | Systematic identification of gene-altering programmed inversions across the bacterial domain |
title_sort | systematic identification of gene-altering programmed inversions across the bacterial domain |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881135/ https://www.ncbi.nlm.nih.gov/pubmed/36617974 http://dx.doi.org/10.1093/nar/gkac1166 |
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