Identifying gene-level mechanisms of successful dispersal of Vibrio parahaemolyticus during El Niño events.

IF 4 2区 生物学 Q1 GENETICS & HEREDITY
Amy Marie Campbell, Ronnie G Gavilan, Chris Hauton, Ronny van Aerle, Jaime Martinez-Urtaza
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引用次数: 0

Abstract

El Niño events, the warm phase of the El Niño Southern Oscillation, facilitate the movement of warm surface waters eastwards across the Pacific Ocean. Marine organisms transported by these waters can act as biological corridors for water-borne bacteria with attachment abilities. El Niño events have been hypothesized as driving the recent emergence of Vibrio parahaemolyticus (Vp) variants, marine bacterium causing gastroenteritis, in South America, but the lack of a robust methodological framework limited any further exploration. Here, we introduce two new analysis approaches to explore Vp dynamics in South America, which will be central to uncovering Vp dynamics in the future. Distributed non-linear lag models found that strong El Niño events increase the relative probability of Vp detection in Peru, with a 3-4-month lag time. Machine learning found that the presence of a specific gene (vopZ) involved in attachment to plankton in a pandemic Vp clone in South America was temporally associated with strong El Niño events, offering a possible strategy for survival over long-range dispersal, such as that offered by El Niño events. Robust surveillance of marine pathogens and methodological development are necessary to produce resolute conclusions on the effect of El Niño events on water-borne diseases.

确定厄尔尼诺现象期间副溶血性弧菌成功扩散的基因水平机制。
厄尔尼诺现象,即厄尔尼诺南方涛动的温暖阶段,促进了温暖表层水在太平洋上的东移。由这些水域输送的海洋生物可以成为具有附着能力的水生细菌的生物走廊。厄尔尼诺现象被认为是导致最近南美洲出现副溶血性弧菌(Vp)变种(一种引起肠胃炎的海洋细菌)的原因,但由于缺乏强有力的方法框架,进一步的探索受到了限制。在此,我们介绍两种新的分析方法来探索南美洲的 Vp 动态,这两种方法将成为未来揭示 Vp 动态的核心。分布式非线性滞后模型发现,强厄尔尼诺事件会增加秘鲁发现 Vp 的相对概率,滞后时间为 3-4 个月。机器学习发现,在南美洲大流行的 Vp 克隆中,有一个参与附着在浮游生物上的特定基因(vopZ),它的存在在时间上与强厄尔尼诺事件相关,提供了一种可能的长程传播生存策略,如厄尔尼诺事件提供的策略。要就厄尔尼诺现象对水生疾病的影响得出确切的结论,就必须对海洋病原体进行强有力的监测,并制定相应的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbial Genomics
Microbial Genomics Medicine-Epidemiology
CiteScore
6.60
自引率
2.60%
发文量
153
审稿时长
12 weeks
期刊介绍: Microbial Genomics (MGen) is a fully open access, mandatory open data and peer-reviewed journal publishing high-profile original research on archaea, bacteria, microbial eukaryotes and viruses.
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