Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 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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Main Authors: Lee, W.C., Goh, K.L., Loke, M.F., Vadivelu, J.
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Published: Wiley Open Access 2016
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Online Access:http://eprints.um.edu.my/19124/
http://dx.doi.org/10.1111/hel.12321
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spelling my.um.eprints.191242018-09-05T08:23:28Z http://eprints.um.edu.my/19124/ Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray Lee, W.C. Goh, K.L. Loke, M.F. Vadivelu, J. R Medicine 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. Wiley Open Access 2016 Article PeerReviewed 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 http://dx.doi.org/10.1111/hel.12321 doi:10.1111/hel.12321
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine
spellingShingle R Medicine
Lee, W.C.
Goh, K.L.
Loke, M.F.
Vadivelu, J.
Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray
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.
format Article
author Lee, W.C.
Goh, K.L.
Loke, M.F.
Vadivelu, J.
author_facet Lee, W.C.
Goh, K.L.
Loke, M.F.
Vadivelu, J.
author_sort Lee, W.C.
title Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray
title_short Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray
title_full Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray
title_fullStr Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray
title_full_unstemmed Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray
title_sort elucidation of the metabolic network ofhelicobacter pylorij99 and malaysian clinical strains by phenotype microarray
publisher Wiley Open Access
publishDate 2016
url http://eprints.um.edu.my/19124/
http://dx.doi.org/10.1111/hel.12321
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score 13.160551