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Employing genome-wide association studies to investigate acid adaptation mechanisms in Listeria monocytogenes

文献类型： 外文期刊

作者： Dou, Xin 1 ; Liu, Yangtai 1 ; Koutsoumanis, Kostas 2 ; Song, Chi 1 ; Li, Zhuosi 1 ; Zhang, Hui 3 ; Yang, Fan 4 ; Zhu, Huajian 1 ; Dong, Qingli 1 ;

作者机构： 1.Univ Shanghai Sci & Technol, 516 Jun Gong Rd, Shanghai 200098, Peoples R China

2.Aristotle Univ Thessaloniki, Fac Agr, Dept Food Sci & Technol, Thessaloniki 54124, Greece

3.Jiangsu Acad Agr Sci, Nanjing 210014, Peoples R China

4.Shanghai Jiao Tong Univ, Renji Hosp, Dept Pharm, Sch Med, Shanghai 200127, Peoples R China

关键词： Genome-wide association studies (GWAS); Listeria monocytogenes; Acid adaptation; Gene; Single nucleotide polymorphism (SNP)

期刊名称：FOOD RESEARCH INTERNATIONAL （ 影响因子：8.0； 五年影响因子：8.5 ）

ISSN： 0963-9969

年卷期： 2024 年 196 卷

页码：

收录情况： SCI

摘要： Listeria monocytogenes is a critical foodborne pathogen known to develop adaptation traits in mildly acidic food processing environments. This study analyzed the genomic data of 49 strains derived from clinical and food sources, utilizing genome-wide association studies (GWAS) to explore the correlation between the genotypic and phenotypic traits of L. monocytogenes, thereby identifying the genetic determinants of its acid adaptation capability. The findings revealed no significant association between the collected acid adaptation genes and the bacterial growth parameters. The GWAS results indicated that numerous single nucleotide polymorphism (SNP) sites were significantly correlated with the growth parameters of L. monocytogenes in a pH = 5.0 acidic environment, whereas the associations diminished as the pH approached neutrality at pH = 6.7. Analysis and annotation of synonymous mutation loci revealed that non-synonymous mutations primarily impact function. The phenotypes pH = 5.0, Delta pH (5.0-5.5), SNP lambda, and SNP mu max show the strongest associations with nonsynonymous mutation loci. The genes lmo0017, lmo1173, lmo0794, and lmo2783 are significant nonsynonymous mutation loci influencing acid adaptation. These genes play critical roles in intracellular pH regulation, cell wall synthesis and environmental response control, directly or indirectly affecting bacterial acid tolerance. Future research could leverage existing data combined with machine learning and causal inference methods to further dissect the genotype-phenotype causal relationships, identifying causative genetic factors that govern the acid adaptation in L. monocytogenes, providing insights for risk assessment and management strategies in food safety.

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