Genome-scale metabolic reconstructions of multiple Salmonella strains reveal serovar-specific metabolic traits

Yara Seif, Erol Kavvas, Jean-Christophe Lachance, James T. Yurkovich, Sean-Paul Nuccio, Xin Fang, Edward Catoiu, Manuela Raffatellu, Bernhard O. Palsson () and Jonathan M. Monk ()
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Yara Seif: University of California
Erol Kavvas: University of California
Jean-Christophe Lachance: Université de Sherbrooke
James T. Yurkovich: University of California
Sean-Paul Nuccio: University of California
Xin Fang: University of California
Edward Catoiu: University of California
Manuela Raffatellu: University of California
Bernhard O. Palsson: University of California
Jonathan M. Monk: University of California

Nature Communications, 2018, vol. 9, issue 1, 1-12

Abstract: Abstract Salmonella strains are traditionally classified into serovars based on their surface antigens. While increasing availability of whole-genome sequences has allowed for more detailed subtyping of strains, links between genotype, serovar, and host remain elusive. Here we reconstruct genome-scale metabolic models for 410 Salmonella strains spanning 64 serovars. Model-predicted growth capabilities in over 530 different environments demonstrate that: (1) the Salmonella accessory metabolic network includes alternative carbon metabolism, and cell wall biosynthesis; (2) metabolic capabilities correspond to each strain’s serovar and isolation host; (3) growth predictions agree with 83.1% of experimental outcomes for 12 strains (690 out of 858); (4) 27 strains are auxotrophic for at least one compound, including l-tryptophan, niacin, l-histidine, l-cysteine, and p-aminobenzoate; and (5) the catabolic pathways that are important for fitness in the gastrointestinal environment are lost amongst extraintestinal serovars. Our results reveal growth differences that may reflect adaptation to particular colonization sites.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06112-5

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DOI: 10.1038/s41467-018-06112-5

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