2020
DOI: 10.1093/nar/gkaa266
|View full text |Cite
|
Sign up to set email alerts
|

Methyltransferase DnmA is responsible for genome-wide N6-methyladenosine modifications at non-palindromic recognition sites in Bacillus subtilis

Abstract: The genomes of organisms from all three domains of life harbor endogenous base modifications in the form of DNA methylation. In bacterial genomes, methylation occurs on adenosine and cytidine residues to include N6-methyladenine (m6A), 5-methylcytosine (m5C), and N4-methylcytosine (m4C). Bacterial DNA methylation has been well characterized in the context of restriction-modification (RM) systems, where methylation regulates DNA incision by the cognate restriction endonuclease. Relative to RM systems less is kn… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
32
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
5
3
2

Relationship

0
10

Authors

Journals

citations
Cited by 30 publications
(34 citation statements)
references
References 73 publications
2
32
0
Order By: Relevance
“…All together, the three RMSs we examined account for 1818 distinct methylation sites that would vary in methylation status among the strains we studied. The number of intergenic methylation sites in UTI89, which are expected to be more likely to affect gene regulation (46,(77)(78)(79)(80), are comparable for the three Type I RMSs (31-40 intergenic sites) (S5 Table ). Using RNA-seq, we again found no gene expression changes for any of the "methylation-switch" strains compared with the parental wt UTI89, except for one hypothetical gene that was close to both the FDR and fold-change cutoffs (Fig 4C and 4D MG1655 and wt UTI89 at any concentration, consistent with our previous interpretation that the single difference identified between UTI89 and UTI89ΔhsdSMR was a false positive (Fig 1D, S4 Table ).…”
Section: Switching Type I Methylation Systems In Uti89 Also Does Not Affect Gene Expression or Any Growth Phenotypesmentioning
confidence: 99%
“…All together, the three RMSs we examined account for 1818 distinct methylation sites that would vary in methylation status among the strains we studied. The number of intergenic methylation sites in UTI89, which are expected to be more likely to affect gene regulation (46,(77)(78)(79)(80), are comparable for the three Type I RMSs (31-40 intergenic sites) (S5 Table ). Using RNA-seq, we again found no gene expression changes for any of the "methylation-switch" strains compared with the parental wt UTI89, except for one hypothetical gene that was close to both the FDR and fold-change cutoffs (Fig 4C and 4D MG1655 and wt UTI89 at any concentration, consistent with our previous interpretation that the single difference identified between UTI89 and UTI89ΔhsdSMR was a false positive (Fig 1D, S4 Table ).…”
Section: Switching Type I Methylation Systems In Uti89 Also Does Not Affect Gene Expression or Any Growth Phenotypesmentioning
confidence: 99%
“…Post-synthetic methylations of DNA are common, and play significant roles, in a wide range of bacterial and archaeal cellular functions 16 19 , such as adenine methylation-directed mismatch repair in Escherichia coli by Dam 20 , and essential functions of the cell-cycle regulated adenine methyltransferase (MTase) CcrM in Caulobactor crescentus 21 . The majority of known bacterial and archaeal DNA MTases function to protect a cell’s own DNA from digestion by a paired (cognate) restriction endonuclease 22 .…”
Section: Introductionmentioning
confidence: 99%
“…We hypothesized that differential methylation patterns in the two parents might bias recombination directionality and localization. Methylation analysis of our PacBio sequencing data confirmed the known GAGGAC methylation motif in strain 168 (39) To investigate more subtle influences on recombination, we examined the correlation between local recombination frequencies and several features of the genomic context, including proximity to methylation sites, local GC content, and SNP density (Figure 3). We performed these analyses using all recombination regions in the 168 HK x RO-NN-1 ME prototrophic progeny where we identified extensive genetic variability ( Figure 1B).…”
Section: Identifying Effects Of Genomic Features On Recombinationmentioning
confidence: 82%