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Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era

BACKGROUND: Zymomonas mobilis is a model bacterial ethanologen with many systems biology studies reported. Besides lignocellulosic ethanol production, Z. mobilis has been developed as a platform for biochemical production through metabolic engineering. However, identification and rigorous understand...

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Autores principales: Yang, Yongfu, Shen, Wei, Huang, Ju, Li, Runxia, Xiao, Yubei, Wei, Hui, Chou, Yat-Chen, Zhang, Min, Himmel, Michael E., Chen, Shouwen, Yi, Li, Ma, Lixin, Yang, Shihui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417218/
https://www.ncbi.nlm.nih.gov/pubmed/30911332
http://dx.doi.org/10.1186/s13068-019-1399-6
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author Yang, Yongfu
Shen, Wei
Huang, Ju
Li, Runxia
Xiao, Yubei
Wei, Hui
Chou, Yat-Chen
Zhang, Min
Himmel, Michael E.
Chen, Shouwen
Yi, Li
Ma, Lixin
Yang, Shihui
author_facet Yang, Yongfu
Shen, Wei
Huang, Ju
Li, Runxia
Xiao, Yubei
Wei, Hui
Chou, Yat-Chen
Zhang, Min
Himmel, Michael E.
Chen, Shouwen
Yi, Li
Ma, Lixin
Yang, Shihui
author_sort Yang, Yongfu
collection PubMed
description BACKGROUND: Zymomonas mobilis is a model bacterial ethanologen with many systems biology studies reported. Besides lignocellulosic ethanol production, Z. mobilis has been developed as a platform for biochemical production through metabolic engineering. However, identification and rigorous understanding of the genetic origins of cellular function, especially those based in non-coding region of DNA, such as promoters and ribosomal binding sites (RBSs), are still in its infancy. This knowledge is crucial for the effective application of Z. mobilis to new industrial applications of biotechnology for fuels and chemicals production. RESULTS: In this study, we explored the possibility to systematically predict the strength of promoters based on systems biology datasets. The promoter strength was clustered based on the expression values of downstream genes (or proteins) from systems biology studies including microarray, RNA-Seq and proteomics. Candidate promoters with different strengths were selected for further characterization, which include 19 strong, nine medium, and ten weak ones. A dual reporter-gene system was developed which included appropriate reporter genes. These are the opmCherry reporter gene driven by the constitutive PlacUV5 promoter for calibration, and EGFP reporter gene driven by candidate promoters for quantification. This dual reporter-gene system was confirmed using the inducible promoter, Ptet, which was used to determine the strength of these predicted promoters with different strengths. In addition, the dual reporter-gene system was applied to determine four synthetic RBSs with different translation initiation rates based on the prediction from bioinformatics server RBS calculator. Our results showed that the correlations between the prediction and experimental results for the promoter and RBS strength are relatively high, with R(2) values more than 0.7 and 0.9, respectively. CONCLUSIONS: This study not only identified and characterized 38 promoters and four RBSs with different strengths for future metabolic engineering in Z. mobilis, but also established a flow cytometry-based dual reporter-gene system to characterize genetic elements including, but not limited to the promoters and RBSs studied in this work. This study also suggested the feasibility of predicting and selecting candidate genetic elements based on omics datasets and bioinformatics tools. Moreover, the dual reporter-gene system developed in this study can be utilized to characterize other genetic elements of Z. mobilis, which can also be applied to other microorganisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13068-019-1399-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-64172182019-03-25 Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era Yang, Yongfu Shen, Wei Huang, Ju Li, Runxia Xiao, Yubei Wei, Hui Chou, Yat-Chen Zhang, Min Himmel, Michael E. Chen, Shouwen Yi, Li Ma, Lixin Yang, Shihui Biotechnol Biofuels Research BACKGROUND: Zymomonas mobilis is a model bacterial ethanologen with many systems biology studies reported. Besides lignocellulosic ethanol production, Z. mobilis has been developed as a platform for biochemical production through metabolic engineering. However, identification and rigorous understanding of the genetic origins of cellular function, especially those based in non-coding region of DNA, such as promoters and ribosomal binding sites (RBSs), are still in its infancy. This knowledge is crucial for the effective application of Z. mobilis to new industrial applications of biotechnology for fuels and chemicals production. RESULTS: In this study, we explored the possibility to systematically predict the strength of promoters based on systems biology datasets. The promoter strength was clustered based on the expression values of downstream genes (or proteins) from systems biology studies including microarray, RNA-Seq and proteomics. Candidate promoters with different strengths were selected for further characterization, which include 19 strong, nine medium, and ten weak ones. A dual reporter-gene system was developed which included appropriate reporter genes. These are the opmCherry reporter gene driven by the constitutive PlacUV5 promoter for calibration, and EGFP reporter gene driven by candidate promoters for quantification. This dual reporter-gene system was confirmed using the inducible promoter, Ptet, which was used to determine the strength of these predicted promoters with different strengths. In addition, the dual reporter-gene system was applied to determine four synthetic RBSs with different translation initiation rates based on the prediction from bioinformatics server RBS calculator. Our results showed that the correlations between the prediction and experimental results for the promoter and RBS strength are relatively high, with R(2) values more than 0.7 and 0.9, respectively. CONCLUSIONS: This study not only identified and characterized 38 promoters and four RBSs with different strengths for future metabolic engineering in Z. mobilis, but also established a flow cytometry-based dual reporter-gene system to characterize genetic elements including, but not limited to the promoters and RBSs studied in this work. This study also suggested the feasibility of predicting and selecting candidate genetic elements based on omics datasets and bioinformatics tools. Moreover, the dual reporter-gene system developed in this study can be utilized to characterize other genetic elements of Z. mobilis, which can also be applied to other microorganisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13068-019-1399-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-14 /pmc/articles/PMC6417218/ /pubmed/30911332 http://dx.doi.org/10.1186/s13068-019-1399-6 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Yang, Yongfu
Shen, Wei
Huang, Ju
Li, Runxia
Xiao, Yubei
Wei, Hui
Chou, Yat-Chen
Zhang, Min
Himmel, Michael E.
Chen, Shouwen
Yi, Li
Ma, Lixin
Yang, Shihui
Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era
title Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era
title_full Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era
title_fullStr Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era
title_full_unstemmed Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era
title_short Prediction and characterization of promoters and ribosomal binding sites of Zymomonas mobilis in system biology era
title_sort prediction and characterization of promoters and ribosomal binding sites of zymomonas mobilis in system biology era
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417218/
https://www.ncbi.nlm.nih.gov/pubmed/30911332
http://dx.doi.org/10.1186/s13068-019-1399-6
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