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Elucidation of the Metabolic Network of Helicobacter pylori J99 and Malaysian Clinical Strains by Phenotype Microarray

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...

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Autores principales: Lee, Woon Ching, Goh, Khean Lee, Loke, Mun Fai, Vadivelu, Jamuna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248604/
https://www.ncbi.nlm.nih.gov/pubmed/27258354
http://dx.doi.org/10.1111/hel.12321
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author Lee, Woon Ching
Goh, Khean Lee
Loke, Mun Fai
Vadivelu, Jamuna
author_facet Lee, Woon Ching
Goh, Khean Lee
Loke, Mun Fai
Vadivelu, Jamuna
author_sort Lee, Woon Ching
collection PubMed
description 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.
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spelling pubmed-52486042017-02-03 Elucidation of the Metabolic Network of Helicobacter pylori J99 and Malaysian Clinical Strains by Phenotype Microarray Lee, Woon Ching Goh, Khean Lee Loke, Mun Fai Vadivelu, Jamuna Helicobacter Original Articles 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. John Wiley and Sons Inc. 2016-06-03 2017-02 /pmc/articles/PMC5248604/ /pubmed/27258354 http://dx.doi.org/10.1111/hel.12321 Text en © 2016 The Authors. Helicobacter Published by John Wiley & Sons Ltd This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Lee, Woon Ching
Goh, Khean Lee
Loke, Mun Fai
Vadivelu, Jamuna
Elucidation of the Metabolic Network of Helicobacter pylori J99 and Malaysian Clinical Strains by Phenotype Microarray
title Elucidation of the Metabolic Network of Helicobacter pylori J99 and Malaysian Clinical Strains by Phenotype Microarray
title_full Elucidation of the Metabolic Network of Helicobacter pylori J99 and Malaysian Clinical Strains by Phenotype Microarray
title_fullStr Elucidation of the Metabolic Network of Helicobacter pylori J99 and Malaysian Clinical Strains by Phenotype Microarray
title_full_unstemmed Elucidation of the Metabolic Network of Helicobacter pylori J99 and Malaysian Clinical Strains by Phenotype Microarray
title_short Elucidation of the Metabolic Network of Helicobacter pylori J99 and Malaysian Clinical Strains by Phenotype Microarray
title_sort elucidation of the metabolic network of helicobacter pylori j99 and malaysian clinical strains by phenotype microarray
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248604/
https://www.ncbi.nlm.nih.gov/pubmed/27258354
http://dx.doi.org/10.1111/hel.12321
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