ArticleNature communications2018
Genome-scale metabolic reconstructions of multiple Salmonella strains reveal serovar-specific metabolic traits.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
89 citing papers in PubMed.
- Metabolic strategies of Enterobacteriaceae gut colonization.Nature reviews. Microbiology · 2026Review
- Multi-strain analysis ofmSystems · 2026Article
- High-throughput generation and comparison of genome-scale metabolic models reveal strain-specific metabolic diversity in 439mSystems · 2026Article
- Molecular epidemiological and genetic variability ofMicrobiology spectrum · 2026Article
- Dynamic metabolic modelling of ATP allocation during viral infection.Journal of the Royal Society, Interface · 2026Article
- Gempipe: a tool for drafting, curating, and analyzing pan and multi-strain genome-scale metabolic models.mSystems · 2026Article
- Phage receptor specificity drives cross-resistance patterns and governs fitness trade-offs during sequential resistance acquisition in Salmonella.The ISME journal · 2026Article
- Predicting Strain-Specific Metabolic Capabilities in the GenusComputational and structural biotechnology journal · 2026Article
- Infection strategies ofGut microbes reports · 2026Review
- A metabolic atlas of the Klebsiella pneumoniae species complex reveals lineage-specific metabolism and capacity for intra-species co-operation.PLoS biology · 2025Article
- The Gfr Uptake System Provides a Context-Dependent Fitness Advantage to Salmonella Typhimurium SL1344 During the Initial Gut Colonization Phase.Molecular microbiology · 2025Article
- Multi-strain Analysis ofbioRxiv : the preprint server for biology · 2025Article
- Article
- Utilizing the effectiveness of phage cocktail to combat Shigella and Salmonella infections and their polymicrobial biofilm control activity.BMC microbiology · 2025Article
- Identification of gene targets regulated by the IclR-like regulator SL1344_3500 inJournal of bacteriology · 2025Article
- Experimental systems are essential for strengthening ecological modeling of microbiomes beyond observational data.mSystems · 2025Review
- Rapid and Sensitive Detection ofMicroorganisms · 2025Article
- Functional consequences of genetic variations in DgoR, a GntR/FadR family transcriptional repressor of D-galactonate metabolism inJournal of bacteriology · 2025Article
- Aptamer-Conjugated Magnetic Nanoparticles Integrated with SERS for Multiplex Salmonella Detection.Biosensors · 2025Article
- Metabolic network reconstruction as a resource for analyzing Salmonella Typhimurium SL1344 growth in the mouse intestine.PLoS computational biology · 2025Article
29 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.