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J Bacteriol. 2014 Mar;196(5):982-8. doi: 10.1128/JB.01209-13. Epub 2013 Dec 20.

Addition of Escherichia coli K-12 growth observation and gene essentiality data to the EcoCyc database.

Author information

1
Department of Chemistry and Biomolecular Science, Macquarie University, Sydney, Australia.

Abstract

The sets of compounds that can support growth of an organism are defined by the presence of transporters and metabolic pathways that convert nutrient sources into cellular components and energy for growth. A collection of known nutrient sources can therefore serve both as an impetus for investigating new metabolic pathways and transporters and as a reference for computational modeling of known metabolic pathways. To establish such a collection for Escherichia coli K-12, we have integrated data on the growth or nongrowth of E. coli K-12 obtained from published observations using a variety of individual media and from high-throughput phenotype microarrays into the EcoCyc database. The assembled collection revealed a substantial number of discrepancies between the high-throughput data sets, which we investigated where possible using low-throughput growth assays on soft agar and in liquid culture. We also integrated six data sets describing 16,119 observations of the growth of single-gene knockout mutants of E. coli K-12 into EcoCyc, which are relevant to antimicrobial drug design, provide clues regarding the roles of genes of unknown function, and are useful for validating metabolic models. To make this information easily accessible to EcoCyc users, we developed software for capturing, querying, and visualizing cellular growth assays and gene essentiality data.

PMID:
24363340
PMCID:
PMC3957686
DOI:
10.1128/JB.01209-13
[Indexed for MEDLINE]
Free PMC Article

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