Time-resolved multi-omics reveals diverse metabolic strategies of Salmonella during diet-induced inflammation

被引:0
|
作者
Kokkinias, Katherine [1 ]
Sabag-Daigle, Anice [2 ]
Kim, Yongseok [3 ]
Leleiwi, Ikaia [4 ]
Shaffer, Michael [5 ]
Kevorkian, Richard [5 ]
Daly, Rebecca A. [5 ]
Wysocki, Vicki H. [3 ]
Borton, Mikayla A. [5 ]
Ahmer, Brian M. M. [2 ]
Wrighton, Kelly C. [1 ,4 ,5 ]
机构
[1] Colorado State Univ, Dept Microbiol Immunol & Pathol, Ft Collins, CO 80523 USA
[2] Ohio State Univ, Dept Microbial Infect & Immun, Columbus, OH USA
[3] Ohio State Univ, Dept Chem & Biochem, Columbus, OH USA
[4] Colorado State Univ, Dept Cell & Mol Biol, Ft Collins, CO 80523 USA
[5] Colorado State Univ, Dept Soil & Crop Sci, Ft Collins, CO 80523 USA
关键词
RNA-seq; time series; respiration; microbial metabolism; pathogenesis; CBA/J mice; ENTERICA SEROVAR TYPHIMURIUM; NITRATE REDUCTASE; INTESTINAL INFLAMMATION; ELECTRON-ACCEPTOR; ANAEROBIC GROWTH; L-CARNITINE; HOST; COLONIZATION; VIRULENCE; ETHANOLAMINE;
D O I
10.1128/msphere.00534-24
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
With a rise in antibiotic resistance and chronic infection, the metabolic response of Salmonella enterica serovar Typhimurium to various dietary conditions over time remains an understudied avenue for novel, targeted therapeutics. Elucidating how enteric pathogens respond to dietary variation not only helps us decipher the metabolic strategies leveraged for expansion but also assists in proposing targets for therapeutic interventions. In this study, we use a multi-omics approach to identify the metabolic response of Salmonella enterica serovar Typhimurium in mice on both a fibrous diet and high-fat diet over time. When comparing Salmonella gene expression between diets, we found a preferential use of respiratory electron acceptors consistent with increased inflammation in high-fat diet mice. Looking at the high-fat diet over the course of infection, we noticed heterogeneity in samples based on Salmonella ribosomal activity, which is separated into three infection phases: early, peak, and late. We identified key respiratory, carbon, and pathogenesis gene expressions descriptive of each phase. Surprisingly, we identified genes associated with host cell entry expressed throughout infection, suggesting subpopulations of Salmonella or stress-induced dysregulation. Collectively, these results highlight not only the sensitivity of Salmonella to its environment but also identify phase-specific genes that may be used as therapeutic targets to reduce infection.
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页数:20
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