Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray

Lee, W.C. and Goh, K.L. and Loke, M.F. and Vadivelu, J. (2016) Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray. Helicobacter, 22 (1). e12321. ISSN 1083-4389

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Official URL: http://dx.doi.org/10.1111/hel.12321

Abstract

Background: Helicobacter pylori colonizes almost half of the human population worldwide. H. pylori strains are genetically diverse, and the specific genotypes are associated with various clinical manifestations including gastric adenocarcinoma, peptic ulcer disease (PUD), and nonulcer dyspepsia (NUD). However, our current knowledge of the H. pylori metabolism is limited. To understand the metabolic differences among H. pylori strains, we investigated four Malaysian H. pylori clinical strains, which had been previously sequenced, and a standard strain, H. pylori J99, at the phenotypic level. Materials and Methods: The phenotypes of the H. pylori strains were profiled using the Biolog Phenotype Microarray system to corroborate genomic data. We initiated the analyses by predicting carbon and nitrogen metabolic pathways from the H. pylori genomic data from the KEGG database. Biolog PM aided the validation of the prediction and provided a more intensive analysis of the H. pylori phenomes. Results: We have identified a core set of metabolic nutrient sources that was utilized by all strains tested and another set that was differentially utilized by only the local strains. Pentose sugars are the preferred carbon nutrients utilized by H. pylori. The amino acids l-aspartic acid, d-alanine, and l-asparagine serve as both carbon and nitrogen sources in the metabolism of the bacterium. Conclusion: The phenotypic profile based on this study provides a better understanding on the survival of H. pylori in its natural host. Our data serve as a foundation for future challenges in correlating interstrain metabolic differences in H. pylori.

Item Type: Article
Uncontrolled Keywords: Amino acids; Carbon sources; Metabolism; Phenotype microarray
Subjects: R Medicine
Divisions: Faculty of Medicine
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 05 Sep 2018 08:23
Last Modified: 05 Sep 2018 08:23
URI: http://eprints.um.edu.my/id/eprint/19124

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