Suppr超能文献

如何测量细菌基因组可塑性?一种新指标有助于深入了解病原体。

How to measure bacterial genome plasticity? A novel index helps gather insights on pathogens.

作者信息

Bellinzona Greta, Biffignandi Gherard Batisti, Brilli Matteo, Baldanti Fausto, Sassera Davide, Gaiarsa Stefano

机构信息

Department of Biology and Biotechnology, University of Pavia, Pavia, Italy.

Department of Genetics, University of Cambridge, CB2 3EH, Cambridge, UK.

出版信息

Microb Genom. 2025 Aug;11(8). doi: 10.1099/mgen.0.001459.

Abstract

Genome plasticity can be defined as the capacity of a bacterial population to swiftly gain or lose genes. The time factor plays a fundamental role in the evolutionary success of microbes, particularly when considering pathogens and their tendency to gain antimicrobial resistance factors under the pressure of the extensive use of antibiotics. Multiple metrics have been proposed to provide insights into the gene content repertoire, yet they overlook the temporal component, which has a critical role in determining the adaptation and survival of a bacterial strain. In this study, we introduce a novel index that incorporates evolutionary distance to assess the rate at which bacteria exchange genes, thus fitting the definition of plasticity. Opposite to available indexes, our method also takes into account the possibility of contiguous genes being transferred together in one single event. We applied our novel index to measure plasticity in three widely studied bacterial species: , and . Our results highlight distinctive plasticity patterns in specific sequence types and clusters, suggesting a possible correlation between heightened genome plasticity and globally recognized high-risk clones. Our approach holds promise as an index for predicting the emergence of strains of potential clinical concern, possibly allowing for timely and more effective interventions.

摘要

基因组可塑性可定义为细菌群体迅速获得或丢失基因的能力。时间因素在微生物的进化成功中起着根本性作用,尤其是在考虑病原体及其在抗生素广泛使用的压力下获得抗微生物抗性因子的倾向时。已经提出了多种指标来深入了解基因内容库,但它们忽略了时间成分,而时间成分在决定细菌菌株的适应性和生存方面起着关键作用。在本研究中,我们引入了一种新的指标,该指标纳入了进化距离,以评估细菌交换基因的速率,从而符合可塑性的定义。与现有指标相反,我们的方法还考虑了相邻基因在单个事件中一起转移的可能性。我们应用我们的新指标来测量三种广泛研究的细菌物种( 、 和 )的可塑性。我们的结果突出了特定序列类型和簇中独特的可塑性模式,表明基因组可塑性增强与全球公认的高风险克隆之间可能存在相关性。我们的方法有望作为一种预测潜在临床关注菌株出现的指标,可能允许及时和更有效的干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e3/12321203/3ab12b605037/mgen-11-01459-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验