The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Are pathogenic bacteria just looking for food? Metabolism and microbial pathogenesis
Open accessAbstract
It is interesting to speculate that the evolutionary drive of microbes to develop pathogenic characteristics was to access the nutrient resources that animals provided. Environments in animals that pathogens colonize have also driven the evolution of new bacterial characteristics to maximize these new nutritional opportunities. This review focuses on genomic and functional aspects of pathogen metabolism that allow efficient utilization of nutrient resources provided by animals. Similar to genes encoding specific virulence traits, some genes encoding metabolic functions have been horizontally acquired by pathogens to provide a selective advantage in host tissues. Selective advantage in host tissues can also be gained in some circumstances by loss of function due to mutations that alter metabolic capabilities. Greater understanding of bacterial metabolism within host tissues should be important for increased understanding of host-pathogen interactions and the development of future therapeutic strategies.
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Cites
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Cited by
Nutritional immunity: transition metals at the pathogen–host interface
Hood, M. I., & Skaar, E. P. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2836 · Cited by 1,535
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Salmonella Pathogenicity and Host Adaptation in Chicken-Associated Serovars
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Metadata
- Authors
- Rohmer, L., Hocquet, D., & Miller, S. I.
- Venue
- Trends in Microbiology
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 19
- Issue
- 7
- Pages
- 341-348
- ISSN
- 0966-842X (ISSN-L)
- OpenAlex
- W2156749020
- Cited by
- 369
- References
- 73
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.