Abstract 2258 Evaluation of Metabolic Modelling Approach for Environmentally Derived E. coli Strains Using Experimental and Genomic Analysis

Escherichia coli is one of the most well studied organisms given its ubiquity in water sources and mammalian gut flora. However, while clinical and animal derived strains are very well characterized, the complexities of the metabolic diversity of E. coli populations in environmental water sources is not as well understood. Therefore, as a part of monitoring the Macatawa Watershed in western Michigan, we have isolated over 10,000 strains of water derived E. coli over a period of 9 years and have sequenced 519 of these strains.

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Publication Details

Journal
Journal of Biological Chemistry
Published
2025-05-01
DOI
https://doi.org/10.1016/j.jbc.2025.109513
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
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Abstract 2258 Evaluation of Metabolic Modelling Approach for Environmentally Derived E. coli Strains Using Experimental and Genomic Analysis

Aaron A. Best, Frederick T. Melges, Natalie Huisman, Michael J. Pikaart et al.
Journal of Biological Chemistry
Microbial Metabolic Engineering and Bioproduction
article

Abstract 2258 Evaluation of Metabolic Modelling Approach for Environmentally Derived E. coli Strains Using Experimental and Genomic Analysis

Aaron A. Best, Frederick T. Melges, Natalie Huisman, Michael J. Pikaart, Brent P. Krueger, Jacquelin D'Lamater, Clayton Piehl, Emily Mathew, Lauren Cribbs
article en

Abstract

Escherichia coli is one of the most well studied organisms given its ubiquity in water sources and mammalian gut flora. However, while clinical and animal derived strains are very well characterized, the complexities of the metabolic diversity of E. coli populations in environmental water sources is not as well understood. Therefore, as a part of monitoring the Macatawa Watershed in western Michigan, we have isolated over 10,000 strains of water derived E. coli over a period of 9 years and have sequenced 519 of these strains.

Journal of Biological ChemistryVol. 301(5)
University of Michigan (US)
Openalex Percentile: Top 88%
Microbial Metabolic Engineering and Bioproduction
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