ArticleBioMed research international2014
Metabolic modeling of common Escherichia coli strains in human gut microbiome.
Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 25 citations in OpenAlex.
- Association of metformin administration with gut microbiome dysbiosis in healthy volunteers.PloS one · 2018Trial
- Emerging roles of the metabolite succinate in bone-related diseases.Journal of Zhejiang University. Science. B · 2025Review
- Bacterial association with metals enables in vivo monitoring of urogenital microbiota using magnetic resonance imaging.Communications biology · 2024Article
- Dysbiosis by Eradication ofMicroorganisms · 2023Article
- Insights into the genetic influences of the microbiota on the life span of a host.Frontiers in microbiology · 2023Article
- Two-component carnitine monooxygenase from Escherichia coli: functional characterization, inhibition and mutagenesis of the molecular interface.Bioscience reports · 2022Article
- The Effect of Short-Term Consumption of Lactic Acid Bacteria on the Gut Microbiota in Obese People.Nutrients · 2022Article
- Prenatal versus Postnatal Initial Colonization of Healthy Neonates' Colon Ecosystem by the Enterobacterium Escherichia coli.Microbiology spectrum · 2021Article
- Complete Genome Sequence of vB_EcoP_SU7, aMicroorganisms · 2021Article
- Altered Gut Microbiome under Antiretroviral Therapy: Impact of Efavirenz and Zidovudine.ACS infectious diseases · 2021Article
- Functional diversity of microbial ecologies estimated from ancient human coprolites and dental calculus.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Multifaceted Actions of Succinate as a Signaling Transmitter Vary with Its Cellular Locations.Endocrinology and metabolism (Seoul, Korea) · 2020Review
- Computational Modeling of the Human Microbiome.Microorganisms · 2020Review
- Culturable gut bacteria lackNew microbes and new infections · 2019Article
- Probiotics in Adolescent Prediabetes: A Pilot RCT on Glycemic Control and Intestinal Bacteriome.Journal of clinical medicine · 2019Article
- Review
- Association between Nicotinamide N-Methyltransferase Gene Polymorphisms and Obesity in Chinese Han Male College Students.BioMed research international · 2017Article
- Cytotoxicity of Nanoparticles Contained in Food on Intestinal Cells and the Gut Microbiota.International journal of molecular sciences · 2016Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent high-throughput sequencing has enabled the composition of Escherichia coli strains in the human microbial community to be profiled en masse. However, there are two challenges to address: (1) exploring the genetic differences between E. coli strains in human gut and (2) dynamic responses of E. coli to diverse stress conditions. As a result, we investigated the E. coli strains in human gut microbiome using deep sequencing data and reconstructed genome-wide metabolic networks for the three most common E. coli strains, including E. coli HS, UTI89, and CFT073. The metabolic models show obvious strain-specific characteristics, both in network contents and in behaviors. We predicted optimal biomass production for three models on four different carbon sources (acetate, ethanol, glucose, and succinate) and found that these stress-associated genes were involved in host-microbial interactions and increased in human obesity. Besides, it shows that the growth rates are similar among the models, but the flux distributions are different, even in E. coli core reactions. The correlations between human diabetes-associated metabolic reactions in the E. coli models were also predicted. The study provides a systems perspective on E. coli strains in human gut microbiome and will be helpful in integrating diverse data sources in the following study.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.