从基因组角度看墨西哥锡那罗亚州农场动物中分离出的肠炎沙门氏菌

N. C. Campo, J. R. Aguirre-Sánchez, González-López Irvin, Rogelio Prieto-Alvarado, C. Chaidez
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摘要

作为人类消费的主要食物来源,农场动物发挥着至关重要的作用。然而,从公共卫生的角度来看,它仍然是主要的食源性病原体之一。这种病原体能够诱发食源性疾病,因此一直受到全球关注。揭示这种病原体的遗传特征是关键的一步,可以揭示其复杂的生物学特性,从而减少其流行。在此背景下,我们的研究旨在深入研究来自农场动物的墨西哥分离物的基因组特征和种群结构。我们对 72 个基因组进行了新一代测序。通过分析基因组数据,确定了毒力和抗生素耐药性标记。此外,还构建了系统发生树和跨度树。研究发现,有 18 个血清型与一个单一的 ST 相关联,其中主要的血清型为 Oranienburg、Give 和 Saintpaul。在所有分离株中,发现了大量与毒力相关的基因。有趣的是,95%的分离株对氨基糖苷类药物具有专一抗性,其余的则对四环素和氯霉素具有多药抗性。值得注意的是,在基因组中发现了大量的噬菌体,占 94%,共有 183 个序列。血清型 Give 的序列数量最多,X29 弧菌和 Escher RCS47 是最常见的噬菌体。这项全面的分析为深入了解噬菌体的复杂世界提供了宝贵的信息,为加深理解和采取有针对性的干预措施铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genomic perspective of Salmonella enterica isolated from farm animals in Sinaloa, Mexico
Farm animals play a crucial role as a primary source of sustenance for human consumption. However continues to be one of the major food-borne pathogens from a public health standpoint. Its persistent global concern surrounding stems from its capability to induce foodborne illnesses. Unraveling the genetic characteristics of this pathogen stands as a pivotal step, shedding light on the intricate biology of and aiming to mitigate its prevalence. Within this context, our study aims to delve into the genomic traits and population structure of Mexican isolates derived from farm animals. We performed next-generation sequencing across 72 genomes. Genomic data was analyzed to determine virulence and antibiotic resistance markers. In addition, a phylogenetic tree and a spanning tree was constructed. The study revealed a diversity of 18 serovars linked to a singular ST, with prominent serovars being Oranienburg, Give, and Saintpaul. Across all isolates, an extensive array of virulence-related genes was identified. Interestingly, 95% of the isolates displayed exclusive resistance to aminoglycosides, while the remaining exhibited multidrug resistance to tetracycline and chloramphenicol. Notably, a substantial prevalence of prophages in the genomes was observed, accounting for 94% and totaling 183 sequences. The serovar Give stood out with the highest number of sequences, featuring Vibrio X29 and Escher RCS47 as the most prevalent phages. This comprehensive analysis provides valuable insights into the intricate world of , paving the way for enhanced understanding and targeted interventions.
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