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An integrated whole genome analysis of Mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome

Human tuberculosis disease (TB), caused by Mycobacterium tuberculosis (Mtb), is a complex disease, with a spectrum of outcomes. Genomic, transcriptomic and methylation studies have revealed differences between Mtb lineages, likely to impact on transmission, virulence and drug resistance. However, so...

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Autores principales: Gomez-Gonzalez, Paula J., Andreu, Nuria, Phelan, Jody E., de Sessions, Paola Florez, Glynn, Judith R., Crampin, Amelia C., Campino, Susana, Butcher, Philip D., Hibberd, Martin L., Clark, Taane G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435705/
https://www.ncbi.nlm.nih.gov/pubmed/30914757
http://dx.doi.org/10.1038/s41598-019-41692-2
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author Gomez-Gonzalez, Paula J.
Andreu, Nuria
Phelan, Jody E.
de Sessions, Paola Florez
Glynn, Judith R.
Crampin, Amelia C.
Campino, Susana
Butcher, Philip D.
Hibberd, Martin L.
Clark, Taane G.
author_facet Gomez-Gonzalez, Paula J.
Andreu, Nuria
Phelan, Jody E.
de Sessions, Paola Florez
Glynn, Judith R.
Crampin, Amelia C.
Campino, Susana
Butcher, Philip D.
Hibberd, Martin L.
Clark, Taane G.
author_sort Gomez-Gonzalez, Paula J.
collection PubMed
description Human tuberculosis disease (TB), caused by Mycobacterium tuberculosis (Mtb), is a complex disease, with a spectrum of outcomes. Genomic, transcriptomic and methylation studies have revealed differences between Mtb lineages, likely to impact on transmission, virulence and drug resistance. However, so far no studies have integrated sequence-based genomic, transcriptomic and methylation characterisation across a common set of samples, which is critical to understand how DNA sequence and methylation affect RNA expression and, ultimately, Mtb pathogenesis. Here we perform such an integrated analysis across 22 M. tuberculosis clinical isolates, representing ancient (lineage 1) and modern (lineages 2 and 4) strains. The results confirm the presence of lineage-specific differential gene expression, linked to specific SNP-based expression quantitative trait loci: with 10 eQTLs involving SNPs in promoter regions or transcriptional start sites; and 12 involving potential functional impairment of transcriptional regulators. Methylation status was also found to have a role in transcription, with evidence of differential expression in 50 genes across lineage 4 samples. Lack of methylation was associated with three novel variants in mamA, likely to cause loss of function of this enzyme. Overall, our work shows the relationship of DNA sequence and methylation to RNA expression, and differences between ancient and modern lineages. Further studies are needed to verify the functional consequences of the identified mechanisms of gene expression regulation.
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spelling pubmed-64357052019-04-03 An integrated whole genome analysis of Mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome Gomez-Gonzalez, Paula J. Andreu, Nuria Phelan, Jody E. de Sessions, Paola Florez Glynn, Judith R. Crampin, Amelia C. Campino, Susana Butcher, Philip D. Hibberd, Martin L. Clark, Taane G. Sci Rep Article Human tuberculosis disease (TB), caused by Mycobacterium tuberculosis (Mtb), is a complex disease, with a spectrum of outcomes. Genomic, transcriptomic and methylation studies have revealed differences between Mtb lineages, likely to impact on transmission, virulence and drug resistance. However, so far no studies have integrated sequence-based genomic, transcriptomic and methylation characterisation across a common set of samples, which is critical to understand how DNA sequence and methylation affect RNA expression and, ultimately, Mtb pathogenesis. Here we perform such an integrated analysis across 22 M. tuberculosis clinical isolates, representing ancient (lineage 1) and modern (lineages 2 and 4) strains. The results confirm the presence of lineage-specific differential gene expression, linked to specific SNP-based expression quantitative trait loci: with 10 eQTLs involving SNPs in promoter regions or transcriptional start sites; and 12 involving potential functional impairment of transcriptional regulators. Methylation status was also found to have a role in transcription, with evidence of differential expression in 50 genes across lineage 4 samples. Lack of methylation was associated with three novel variants in mamA, likely to cause loss of function of this enzyme. Overall, our work shows the relationship of DNA sequence and methylation to RNA expression, and differences between ancient and modern lineages. Further studies are needed to verify the functional consequences of the identified mechanisms of gene expression regulation. Nature Publishing Group UK 2019-03-26 /pmc/articles/PMC6435705/ /pubmed/30914757 http://dx.doi.org/10.1038/s41598-019-41692-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Gomez-Gonzalez, Paula J.
Andreu, Nuria
Phelan, Jody E.
de Sessions, Paola Florez
Glynn, Judith R.
Crampin, Amelia C.
Campino, Susana
Butcher, Philip D.
Hibberd, Martin L.
Clark, Taane G.
An integrated whole genome analysis of Mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome
title An integrated whole genome analysis of Mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome
title_full An integrated whole genome analysis of Mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome
title_fullStr An integrated whole genome analysis of Mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome
title_full_unstemmed An integrated whole genome analysis of Mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome
title_short An integrated whole genome analysis of Mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome
title_sort integrated whole genome analysis of mycobacterium tuberculosis reveals insights into relationship between its genome, transcriptome and methylome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435705/
https://www.ncbi.nlm.nih.gov/pubmed/30914757
http://dx.doi.org/10.1038/s41598-019-41692-2
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