Literature DB >> 33672760

Development of a Genome-Scale Metabolic Model and Phenome Analysis of the Probiotic Escherichia coli Strain Nissle 1917.

Dohyeon Kim1, Youngshin Kim1, Sung Ho Yoon1.   

Abstract

Escherichia coli Nissle 1917 (EcN) is an intestinal probiotic that is effective for the treatment of intestinal disorders, such as inflammatory bowel disease and ulcerative colitis. EcN is a representative Gram-negative probiotic in biomedical research and is an intensively studied probiotic. However, to date, its genome-wide metabolic network model has not been developed. Here, we developed a comprehensive and highly curated EcN metabolic model, referred to as iDK1463, based on genome comparison and phenome analysis. The model was improved and validated by comparing the simulation results with experimental results from phenotype microarray tests. iDK1463 comprises 1463 genes, 1313 unique metabolites, and 2984 metabolic reactions. Phenome data of EcN were compared with those of Escherichia coli intestinal commensal K-12 MG1655. iDK1463 was simulated to identify the genetic determinants responsible for the observed phenotypic differences between EcN and K-12. Further, the model was simulated for gene essentiality analysis and utilization of nutrient sources under anaerobic growth conditions. These analyses provided insights into the metabolic mechanisms by which EcN colonizes and persists in the gut. iDK1463 will contribute to the system-level understanding of the functional capacity of gut microbes and their interactions with microbiota and human hosts, as well as the development of live microbial therapeutics.

Entities:  

Keywords:  Escherichia coli Nissle 1917; flux balance analysis; metabolic network model; phenome analysis; probiotics

Mesh:

Substances:

Year:  2021        PMID: 33672760      PMCID: PMC7924626          DOI: 10.3390/ijms22042122

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  78 in total

1.  Pathways for the utilization of N-acetyl-galactosamine and galactosamine in Escherichia coli.

Authors:  A Brinkkötter; H Klöss; C Alpert; J W Lengeler
Journal:  Mol Microbiol       Date:  2000-07       Impact factor: 3.501

2.  Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0.

Authors:  Jan Schellenberger; Richard Que; Ronan M T Fleming; Ines Thiele; Jeffrey D Orth; Adam M Feist; Daniel C Zielinski; Aarash Bordbar; Nathan E Lewis; Sorena Rahmanian; Joseph Kang; Daniel R Hyduke; Bernhard Ø Palsson
Journal:  Nat Protoc       Date:  2011-08-04       Impact factor: 13.491

Review 3.  Using Genome-scale Models to Predict Biological Capabilities.

Authors:  Edward J O'Brien; Jonathan M Monk; Bernhard O Palsson
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

4.  Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota.

Authors:  Stefanía Magnúsdóttir; Almut Heinken; Laura Kutt; Dmitry A Ravcheev; Eugen Bauer; Alberto Noronha; Kacy Greenhalgh; Christian Jäger; Joanna Baginska; Paul Wilmes; Ronan M T Fleming; Ines Thiele
Journal:  Nat Biotechnol       Date:  2016-11-28       Impact factor: 54.908

5.  Commensal and Pathogenic Escherichia coli Metabolism in the Gut.

Authors:  Tyrrell Conway; Paul S Cohen
Journal:  Microbiol Spectr       Date:  2015-06

6.  A bacterial arginine-agmatine exchange transporter involved in extreme acid resistance.

Authors:  Yiling Fang; Ludmila Kolmakova-Partensky; Christopher Miller
Journal:  J Biol Chem       Date:  2006-11-10       Impact factor: 5.157

7.  Use of operon fusions to examine the regulation of the L-1,2-propanediol oxidoreductase gene of the fucose system in Escherichia coli K12.

Authors:  Y M Chen; E C Lin; J Ros; J Aguilar
Journal:  J Gen Microbiol       Date:  1983-11

8.  Development of a synthetic live bacterial therapeutic for the human metabolic disease phenylketonuria.

Authors:  Vincent M Isabella; Binh N Ha; Mary Joan Castillo; David J Lubkowicz; Sarah E Rowe; Yves A Millet; Cami L Anderson; Ning Li; Adam B Fisher; Kip A West; Philippa J Reeder; Munira M Momin; Christopher G Bergeron; Sarah E Guilmain; Paul F Miller; Caroline B Kurtz; Dean Falb
Journal:  Nat Biotechnol       Date:  2018-08-13       Impact factor: 54.908

9.  Host imprints on bacterial genomes--rapid, divergent evolution in individual patients.

Authors:  Jaroslaw Zdziarski; Elzbieta Brzuszkiewicz; Björn Wullt; Heiko Liesegang; Dvora Biran; Birgit Voigt; Jenny Grönberg-Hernandez; Bryndis Ragnarsdottir; Michael Hecker; Eliora Z Ron; Rolf Daniel; Gerhard Gottschalk; Jörg Hacker; Catharina Svanborg; Ulrich Dobrindt
Journal:  PLoS Pathog       Date:  2010-08-26       Impact factor: 6.823

10.  COBRApy: COnstraints-Based Reconstruction and Analysis for Python.

Authors:  Ali Ebrahim; Joshua A Lerman; Bernhard O Palsson; Daniel R Hyduke
Journal:  BMC Syst Biol       Date:  2013-08-08
View more
  1 in total

1.  Dissecting carbon metabolism of Yarrowia lipolytica type strain W29 using genome-scale metabolic modelling.

Authors:  Yufeng Guo; Liqiu Su; Qi Liu; Yan Zhu; Zongjie Dai; Qinhong Wang
Journal:  Comput Struct Biotechnol J       Date:  2022-05-16       Impact factor: 6.155

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.