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Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis complex clinical isolates
This study assembles DNA adenine methylomes for 93 Mycobacterium tuberculosis complex (MTBC) isolates from seven lineages paired with fully-annotated, finished, de novo assembled genomes. Integrative analysis yielded four key results. First, methyltransferase allele-methylome mapping corrected methy...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591249/ https://www.ncbi.nlm.nih.gov/pubmed/33107429 http://dx.doi.org/10.7554/eLife.58542 |
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author | Modlin, Samuel J Conkle-Gutierrez, Derek Kim, Calvin Mitchell, Scott N Morrissey, Christopher Weinrick, Brian C Jacobs, William R Ramirez-Busby, Sarah M Hoffner, Sven E Valafar, Faramarz |
author_facet | Modlin, Samuel J Conkle-Gutierrez, Derek Kim, Calvin Mitchell, Scott N Morrissey, Christopher Weinrick, Brian C Jacobs, William R Ramirez-Busby, Sarah M Hoffner, Sven E Valafar, Faramarz |
author_sort | Modlin, Samuel J |
collection | PubMed |
description | This study assembles DNA adenine methylomes for 93 Mycobacterium tuberculosis complex (MTBC) isolates from seven lineages paired with fully-annotated, finished, de novo assembled genomes. Integrative analysis yielded four key results. First, methyltransferase allele-methylome mapping corrected methyltransferase variant effects previously obscured by reference-based variant calling. Second, heterogeneity analysis of partially active methyltransferase alleles revealed that intracellular stochastic methylation generates a mosaic of methylomes within isogenic cultures, which we formalize as ‘intercellular mosaic methylation’ (IMM). Mutation-driven IMM was nearly ubiquitous in the globally prominent Beijing sublineage. Third, promoter methylation is widespread and associated with differential expression in the ΔhsdM transcriptome, suggesting promoter HsdM-methylation directly influences transcription. Finally, comparative and functional analyses identified 351 sites hypervariable across isolates and numerous putative regulatory interactions. This multi-omic integration revealed features of methylomic variability in clinical isolates and provides a rational basis for hypothesizing the functions of DNA adenine methylation in MTBC physiology and adaptive evolution. |
format | Online Article Text |
id | pubmed-7591249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-75912492020-10-28 Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis complex clinical isolates Modlin, Samuel J Conkle-Gutierrez, Derek Kim, Calvin Mitchell, Scott N Morrissey, Christopher Weinrick, Brian C Jacobs, William R Ramirez-Busby, Sarah M Hoffner, Sven E Valafar, Faramarz eLife Computational and Systems Biology This study assembles DNA adenine methylomes for 93 Mycobacterium tuberculosis complex (MTBC) isolates from seven lineages paired with fully-annotated, finished, de novo assembled genomes. Integrative analysis yielded four key results. First, methyltransferase allele-methylome mapping corrected methyltransferase variant effects previously obscured by reference-based variant calling. Second, heterogeneity analysis of partially active methyltransferase alleles revealed that intracellular stochastic methylation generates a mosaic of methylomes within isogenic cultures, which we formalize as ‘intercellular mosaic methylation’ (IMM). Mutation-driven IMM was nearly ubiquitous in the globally prominent Beijing sublineage. Third, promoter methylation is widespread and associated with differential expression in the ΔhsdM transcriptome, suggesting promoter HsdM-methylation directly influences transcription. Finally, comparative and functional analyses identified 351 sites hypervariable across isolates and numerous putative regulatory interactions. This multi-omic integration revealed features of methylomic variability in clinical isolates and provides a rational basis for hypothesizing the functions of DNA adenine methylation in MTBC physiology and adaptive evolution. eLife Sciences Publications, Ltd 2020-10-27 /pmc/articles/PMC7591249/ /pubmed/33107429 http://dx.doi.org/10.7554/eLife.58542 Text en © 2020, Modlin et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Modlin, Samuel J Conkle-Gutierrez, Derek Kim, Calvin Mitchell, Scott N Morrissey, Christopher Weinrick, Brian C Jacobs, William R Ramirez-Busby, Sarah M Hoffner, Sven E Valafar, Faramarz Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis complex clinical isolates |
title | Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis complex clinical isolates |
title_full | Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis complex clinical isolates |
title_fullStr | Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis complex clinical isolates |
title_full_unstemmed | Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis complex clinical isolates |
title_short | Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis complex clinical isolates |
title_sort | drivers and sites of diversity in the dna adenine methylomes of 93 mycobacterium tuberculosis complex clinical isolates |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591249/ https://www.ncbi.nlm.nih.gov/pubmed/33107429 http://dx.doi.org/10.7554/eLife.58542 |
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