Genome-scale metabolic reconstructions of multiple Salmonella strains reveal serovar-specific metabolic traits
Salmonella serovars colonize a wide range of hosts but the underlying genetic determinants remain poorly understood. Here, Seif et al. use a network-based computational analysis to link specific metabolic capabilities with host range and nutritional niche.
Guardado en:
Autores principales: | Yara Seif, Erol Kavvas, Jean-Christophe Lachance, James T. Yurkovich, Sean-Paul Nuccio, Xin Fang, Edward Catoiu, Manuela Raffatellu, Bernhard O. Palsson, Jonathan M. Monk |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b885581f9005465080a329f4ee52ae3a |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Systems Biology and Pangenome of <italic toggle="yes">Salmonella</italic> O-Antigens
por: Yara Seif, et al.
Publicado: (2019) -
Machine learning and structural analysis of Mycobacterium tuberculosis pan-genome identifies genetic signatures of antibiotic resistance
por: Erol S. Kavvas, et al.
Publicado: (2018) -
Comparative Analysis of <italic toggle="yes">Salmonella</italic> Genomes Identifies a Metabolic Network for Escalating Growth in the Inflamed Gut
por: Sean-Paul Nuccio, et al.
Publicado: (2014) -
A biochemically-interpretable machine learning classifier for microbial GWAS
por: Erol S. Kavvas, et al.
Publicado: (2020) -
SEROVAR SPECIFIC ANTIMICROBIAL SUSCEPTIBILITY OF SALMONELLA
por: S. A. Egorova
Publicado: (2018)