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Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli

DNA methylation in bacteria frequently serves as a simple immune system, allowing recognition of DNA from foreign sources, such as phages or selfish genetic elements. However, DNA methylation also affects other cell phenotypes in a heritable manner (i.e. epigenetically). While there are several exam...

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Autores principales: Breckell, Georgia L, Silander, Olin K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911048/
https://www.ncbi.nlm.nih.gov/pubmed/36454087
http://dx.doi.org/10.1093/g3journal/jkac310
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author Breckell, Georgia L
Silander, Olin K
author_facet Breckell, Georgia L
Silander, Olin K
author_sort Breckell, Georgia L
collection PubMed
description DNA methylation in bacteria frequently serves as a simple immune system, allowing recognition of DNA from foreign sources, such as phages or selfish genetic elements. However, DNA methylation also affects other cell phenotypes in a heritable manner (i.e. epigenetically). While there are several examples of methylation affecting transcription in an epigenetic manner in highly localized contexts, it is not well-established how frequently methylation serves a more general epigenetic function over larger genomic scales. To address this question, here we use Oxford Nanopore sequencing to profile DNA modification marks in three natural isolates of Escherichia coli. We first identify the DNA sequence motifs targeted by the methyltransferases in each strain. We then quantify the frequency of methylation at each of these motifs across the entire genome in different growth conditions. We find that motifs in specific regions of the genome consistently exhibit high or low levels of methylation. Furthermore, we show that there are replicable and consistent differences in methylated regions across different growth conditions. This suggests that during growth, E. coli transiently differentiate into distinct methylation states that depend on the growth state, raising the possibility that measuring DNA methylation alone can be used to infer bacterial growth states without additional information such as transcriptome or proteome data. These results show the utility of using Oxford Nanopore sequencing as an economic means to infer DNA methylation status. They also provide new insights into the dynamics of methylation during bacterial growth and provide evidence of differentiated cell states, a transient analog to what is observed in the differentiation of cell types in multicellular organisms.
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spelling pubmed-99110482023-02-13 Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli Breckell, Georgia L Silander, Olin K G3 (Bethesda) Investigation DNA methylation in bacteria frequently serves as a simple immune system, allowing recognition of DNA from foreign sources, such as phages or selfish genetic elements. However, DNA methylation also affects other cell phenotypes in a heritable manner (i.e. epigenetically). While there are several examples of methylation affecting transcription in an epigenetic manner in highly localized contexts, it is not well-established how frequently methylation serves a more general epigenetic function over larger genomic scales. To address this question, here we use Oxford Nanopore sequencing to profile DNA modification marks in three natural isolates of Escherichia coli. We first identify the DNA sequence motifs targeted by the methyltransferases in each strain. We then quantify the frequency of methylation at each of these motifs across the entire genome in different growth conditions. We find that motifs in specific regions of the genome consistently exhibit high or low levels of methylation. Furthermore, we show that there are replicable and consistent differences in methylated regions across different growth conditions. This suggests that during growth, E. coli transiently differentiate into distinct methylation states that depend on the growth state, raising the possibility that measuring DNA methylation alone can be used to infer bacterial growth states without additional information such as transcriptome or proteome data. These results show the utility of using Oxford Nanopore sequencing as an economic means to infer DNA methylation status. They also provide new insights into the dynamics of methylation during bacterial growth and provide evidence of differentiated cell states, a transient analog to what is observed in the differentiation of cell types in multicellular organisms. Oxford University Press 2022-12-01 /pmc/articles/PMC9911048/ /pubmed/36454087 http://dx.doi.org/10.1093/g3journal/jkac310 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigation
Breckell, Georgia L
Silander, Olin K
Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli
title Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli
title_full Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli
title_fullStr Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli
title_full_unstemmed Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli
title_short Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli
title_sort growth condition-dependent differences in methylation imply transiently differentiated dna methylation states in escherichia coli
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911048/
https://www.ncbi.nlm.nih.gov/pubmed/36454087
http://dx.doi.org/10.1093/g3journal/jkac310
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