| Autor: |
Bourgeois JS; Department of Molecular Genetics and Microbiology, School of Medicine, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA.; University Program in Genetics and Genomics, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA., Anderson CE; Department of Molecular Genetics and Microbiology, School of Medicine, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA., Wang L; Department of Molecular Genetics and Microbiology, School of Medicine, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA., Modliszewski JL; Center for Genomics and Computational Biology, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA., Chen W; Center for Genomics and Computational Biology, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA., Schott BH; Department of Molecular Genetics and Microbiology, School of Medicine, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA.; University Program in Genetics and Genomics, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA., Devos N; Center for Genomics and Computational Biology, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA., Ko DC; Department of Molecular Genetics and Microbiology, School of Medicine, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA.; University Program in Genetics and Genomics, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA.; Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke Universitygrid.471396.egrid.26009.3d, Durham, North Carolina, USA. |
| Abstrakt: |
Despite being in a golden age of bacterial epigenomics, little work has systematically examined the plasticity and functional impacts of the bacterial DNA methylome. Here, we leveraged single-molecule, real-time sequencing (SMRT-seq) to examine the m 6 A DNA methylome of two Salmonella enterica serovar Typhimurium strains: 14028s and a Δ metJ mutant with derepressed methionine metabolism, grown in Luria broth or medium that simulates the intracellular environment. We found that the methylome is remarkably static: >95% of adenosine bases retain their methylation status across conditions. Integration of methylation with transcriptomic data revealed limited correlation between changes in methylation and gene expression. Further, examination of the transcriptome in Δ yhdJ bacteria lacking the m 6 A methylase with the most dynamic methylation pattern in our data set revealed little evidence of YhdJ-mediated gene regulation. Curiously, despite G(m 6 A)TC motifs being particularly resistant to change across conditions, incorporating dam mutants into our analyses revealed two examples where changes in methylation and transcription may be linked across conditions. This includes the novel finding that the Δ metJ motility defect may be partially driven by hypermethylation of the chemotaxis gene tsr . Together, these data redefine the S. Typhimurium epigenome as a highly stable system that has rare but important roles in transcriptional regulation. Incorporating these lessons into future studies will be critical as we progress through the epigenomic era. IMPORTANCE While recent breakthroughs have enabled intense study of bacterial DNA modifications, limitations in current work have potentiated a surprisingly untested narrative that DNA methylation is a common mechanism of the bacterial response to environmental conditions. Essentially, whether epigenetic regulation of bacterial transcription is a common, generalizable phenomenon is a critical unanswered question that we address here. We found that most DNA methylation is static in Salmonella enterica serovar Typhimurium, even when the bacteria are grown under dramatically different conditions that cause broad changes in the transcriptome. Further, even when the methylation of individual bases change, these changes generally do not correlate with changes in gene expression. Finally, we demonstrate methods by which data can be stratified in order to identify coupled changes in methylation and gene expression. |
