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A reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants
Quantitative analysis of the sequence determinants of transcription and translation regulation is relevant for systems and synthetic biology. To identify these determinants, researchers have developed different methods of screening random libraries using fluorescent reporters or antibiotic resistanc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573727/ https://www.ncbi.nlm.nih.gov/pubmed/28848232 http://dx.doi.org/10.1038/s41467-017-00239-7 |
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author | Yus, Eva Yang, Jae-Seong Sogues, Adrià Serrano, Luis |
author_facet | Yus, Eva Yang, Jae-Seong Sogues, Adrià Serrano, Luis |
author_sort | Yus, Eva |
collection | PubMed |
description | Quantitative analysis of the sequence determinants of transcription and translation regulation is relevant for systems and synthetic biology. To identify these determinants, researchers have developed different methods of screening random libraries using fluorescent reporters or antibiotic resistance genes. Here, we have implemented a generic approach called ELM-seq (expression level monitoring by DNA methylation) that overcomes the technical limitations of such classic reporters. ELM-seq uses DamID (Escherichia coli DNA adenine methylase as a reporter coupled with methylation-sensitive restriction enzyme digestion and high-throughput sequencing) to enable in vivo quantitative analyses of upstream regulatory sequences. Using the genome-reduced bacterium Mycoplasma pneumoniae, we show that ELM-seq has a large dynamic range and causes minimal toxicity. We use ELM-seq to determine key sequences (known and putatively novel) of promoter and untranslated regions that influence transcription and translation efficiency. Applying ELM-seq to other organisms will help us to further understand gene expression and guide synthetic biology. |
format | Online Article Text |
id | pubmed-5573727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55737272017-09-01 A reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants Yus, Eva Yang, Jae-Seong Sogues, Adrià Serrano, Luis Nat Commun Article Quantitative analysis of the sequence determinants of transcription and translation regulation is relevant for systems and synthetic biology. To identify these determinants, researchers have developed different methods of screening random libraries using fluorescent reporters or antibiotic resistance genes. Here, we have implemented a generic approach called ELM-seq (expression level monitoring by DNA methylation) that overcomes the technical limitations of such classic reporters. ELM-seq uses DamID (Escherichia coli DNA adenine methylase as a reporter coupled with methylation-sensitive restriction enzyme digestion and high-throughput sequencing) to enable in vivo quantitative analyses of upstream regulatory sequences. Using the genome-reduced bacterium Mycoplasma pneumoniae, we show that ELM-seq has a large dynamic range and causes minimal toxicity. We use ELM-seq to determine key sequences (known and putatively novel) of promoter and untranslated regions that influence transcription and translation efficiency. Applying ELM-seq to other organisms will help us to further understand gene expression and guide synthetic biology. Nature Publishing Group UK 2017-08-28 /pmc/articles/PMC5573727/ /pubmed/28848232 http://dx.doi.org/10.1038/s41467-017-00239-7 Text en © The Author(s) 2017 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 Yus, Eva Yang, Jae-Seong Sogues, Adrià Serrano, Luis A reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants |
title | A reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants |
title_full | A reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants |
title_fullStr | A reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants |
title_full_unstemmed | A reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants |
title_short | A reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants |
title_sort | reporter system coupled with high-throughput sequencing unveils key bacterial transcription and translation determinants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573727/ https://www.ncbi.nlm.nih.gov/pubmed/28848232 http://dx.doi.org/10.1038/s41467-017-00239-7 |
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