Genome Scale Reconstruction of a Salmonella Metabolic Model COMPARISON OF SIMILARITY AND DIFFERENCES WITH A COMMENSAL ESCHERICHIA COLI STRAIN

Genome Scale Reconstruction of a Salmonella Metabolic Model COMPARISON OF SIMILARITY AND DIFFERENCES WITH A COMMENSAL ESCHERICHIA COLI STRAIN
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DOI:
10.1074/jbc.m109.005868
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发表时间:
2009-10-23
影响因子:
4.8
通讯作者:
Anjum, Muna F.
Anjum, Muna F.
中科院分区:
生物学2区
文献类型:
--
作者:
AbuOun, Manal;Suthers, Patrick F.;Anjum, Muna F.

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沙门氏菌与共生的大肠杆菌密切相关,但已经获得了毒力因子,使它们能够作为肠道病原体。研究较少的是这些生物代谢特性之间存在的相似性和差异性,这些特性可能有助于沙门氏菌病原体的生态位适应。为了解决这个问题,我们构建了一个基因组尺度的沙门氏菌代谢模型(iMA945)。该模型包括945个开放阅读框或基因,1964个反应和1036个代谢物。与大肠杆菌MG1655模型iAF1260中存在的基因有显著重叠。在硅生长预测使用不同的碳,氮,磷和硫源模型进行模拟。这些数据与高通量表型微阵列收集的底物利用数据进行了比较,显示出良好的一致性。在所检测的化合物中,大多数可被沙门氏菌和大肠杆菌利用。尽管如此,在沙门氏菌和大肠杆菌之间以及沙门氏菌菌株内部都发现了一些差异。这些差异为了解共生病原体和密切相关病原体之间的差异以及不同致病菌株之间的差异提供了有价值的见解,为未来的探索开辟了新的途径。
Salmonella are closely related to commensal Escherichia coli but have gained virulence factors enabling them to behave as enteric pathogens. Less well studied are the similarities and differences that exist between the metabolic properties of these organisms that may contribute toward niche adaptation of Salmonella pathogens. To address this, we have constructed a genome scale Salmonella metabolic model (iMA945). The model comprises 945 open reading frames or genes, 1964 reactions, and 1036 metabolites. There was significant overlap with genes present in E. coli MG1655 model iAF1260. In silico growth predictions were simulated using the model on different carbon, nitrogen, phosphorous, and sulfur sources. These were compared with substrate utilization data gathered from high throughput phenotyping microarrays revealing good agreement. Of the compounds tested, the majority were utilizable by both Salmonella and E. coli. Nevertheless a number of differences were identified both between Salmonella and E. coli and also within the Salmonella strains included. These differences provide valuable insight into differences between a commensal and a closely related pathogen and within different pathogenic strains opening new avenues for future explorations.