Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania Philadelphia, PA, USA.
Front Microbiol. 2014 Jan 7;4:419. doi: 10.3389/fmicb.2013.00419.
Salmonella enterica causes substantial morbidity and mortality in humans and animals. Infection and intestinal colonization by S. enterica require virulence factors that mediate bacterial binding and invasion of enterocytes and innate immune cells. Some S. enterica colonization factors and their alleles are host restricted, suggesting a potential role in regulation of host specificity. Recent data also suggest that colonization factors promote horizontal gene transfer of antimicrobial resistance genes by increasing the local density of Salmonella in colonized intestines. Although a profusion of genes are involved in Salmonella pathogenesis, the relative importance of their allelic variation has only been studied intensely in the type 1 fimbrial adhesin FimH. Although other Salmonella virulence factors demonstrate allelic variation, their association with specific metadata (e.g., host species, disease or carrier state, time and geographic place of isolation, antibiotic resistance profile, etc.) remains to be interrogated. To date, genome-wide association studies (GWAS) in bacteriology have been limited by the paucity of relevant metadata. In addition, due to the many variables amid metadata categories, a very large number of strains must be assessed to attain statistically significant results. However, targeted approaches in which genes of interest (e.g., virulence factors) are specifically sequenced alleviates the time-consuming and costly statistical GWAS analysis and increases statistical power, as larger numbers of strains can be screened for non-synonymous single nucleotide polymorphisms (SNPs) that are associated with available metadata. Congruence of specific allelic variants with specific metadata from strains that have a relevant clinical and epidemiological history will help to prioritize functional wet-lab and animal studies aimed at determining cause-effect relationships. Such an approach should be applicable to other pathogens that are being collected in well-curated repositories.
肠炎沙门氏菌会给人类和动物带来严重的发病率和死亡率。感染和肠道定植肠炎沙门氏菌需要毒力因子,这些因子介导细菌与肠上皮细胞和固有免疫细胞的结合和入侵。一些肠炎沙门氏菌定植因子及其等位基因具有宿主限制,这表明它们在调节宿主特异性方面可能具有潜在作用。最近的数据还表明,定植因子通过增加定植在肠道中的沙门氏菌的局部密度,促进了抗菌药物耐药基因的水平基因转移。尽管许多基因参与了沙门氏菌的发病机制,但只有在 1 型菌毛黏附素 FimH 的等位基因变异方面进行了深入研究。尽管其他沙门氏菌毒力因子也表现出等位基因变异,但它们与特定元数据(例如宿主种类、疾病或携带状态、分离的时间和地理地点、抗生素耐药谱等)的关联仍有待研究。迄今为止,细菌学中的全基因组关联研究(GWAS)受到相关元数据稀缺的限制。此外,由于元数据类别中的许多变量,必须评估大量的菌株才能获得具有统计学意义的结果。然而,在感兴趣的基因(例如毒力因子)被特异性测序的靶向方法中,可以减轻耗时且昂贵的统计 GWAS 分析,并提高统计能力,因为可以对更多的菌株进行筛选,以寻找与可用元数据相关的非同义单核苷酸多态性(SNP)。具有相关临床和流行病学史的菌株中特定等位基因变异与特定元数据的一致性将有助于优先进行旨在确定因果关系的功能湿实验室和动物研究。这种方法应该适用于其他正在精心保存的储存库中收集的病原体。