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全球思考,地方行动:传染性支气管炎病毒(IBV)QX基因型(GI-19谱系)的系统动力学重建显示,在不同的流行病学尺度上进行评估时,其种群动态和传播模式有所不同。

Think globally, act locally: Phylodynamic reconstruction of infectious bronchitis virus (IBV) QX genotype (GI-19 lineage) reveals different population dynamics and spreading patterns when evaluated on different epidemiological scales.

作者信息

Franzo Giovanni, Massi Paola, Tucciarone Claudia Maria, Barbieri Ilaria, Tosi Giovanni, Fiorentini Laura, Ciccozzi Massimo, Lavazza Antonio, Cecchinato Mattia, Moreno Ana

机构信息

Department of Animal Medicine, Production and Health (MAPS), University of Padua, Legnaro, Padua, Italy.

Sezione di Forlì, Istituto sperimentale della Lombardia e Emilia Romagna, Forlì, Forlì Cesena, Italy.

出版信息

PLoS One. 2017 Sep 7;12(9):e0184401. doi: 10.1371/journal.pone.0184401. eCollection 2017.

Abstract

Infectious bronchitis virus (IBV) represents one of the poultry industry major threats, particularly in high density producing countries. The emergence and spread of new IBV genotypes have frustrated the various disease control efforts implemented over time. Despite that, few comprehensive and large scale studies have been performed to understand the international and local spreading dynamics of this virus. In the present work, these phenomena were evaluated by implementing a Bayesian phylodynamic approach to reconstruct the epidemiological patterns and population history of the QX genotype (currently renamed GI-19 lineage), the most relevant IBV lineage of the Old-World. Our analysis, based on 807 partial S1 sequences of strains collected from 18 countries between 1993 and 2015, demonstrates that this genotype originated in China well before its first identification. After a prolonged local circulation, it started spreading to other European, Asian and Middle East countries in successive waves, which were mirrored by concomitant fluctuations in viral population size. Interestingly, the within-Europe spread was characterized by a higher estimated migration rate compared with the inter-continental one, potentially reflecting the closer geographic and economic relationships among these countries. Nevertheless, the colonization of new states by the GI-19 lineage appeared to occur mostly by single introduction events in both intra and inter-continental spread, likely because of epidemiological factor and health policy combination which seems to prevent the frequent introduction and mixing of different strains. On the other hand, the within Italy QX circulation reconstruction showed a much more intricate connection network among different locations, evidencing the difficulty in controlling IBV spread especially in highly densely poultry populated areas. The presence of several well supported epidemiological links among distantly related Italian regions testifies that animal transportation and indirect transmission routes rather than local airborne diffusion contribute to the QX success and persistence at local scale. Globally, the spreading dynamics and evolution of the QX genotype were reconstructed from its very origin to nowadays, demonstrating the need of more effective direct control measures, particularly within each country. Unfortunately, the incompleteness of available molecular epidemiology data represents an insurmountable limit which leaves many questions currently unsolved, thus highlighting the compulsoriness of a structured monitoring and data sharing system implementation.

摘要

传染性支气管炎病毒(IBV)是家禽业面临的主要威胁之一,在高密度养殖国家尤为如此。新的IBV基因型的出现和传播,使长期以来实施的各种疾病防控措施受挫。尽管如此,很少有全面的大规模研究来了解这种病毒在国际和本地的传播动态。在本研究中,通过实施贝叶斯系统发育动力学方法来评估这些现象,以重建旧大陆最相关的IBV谱系——QX基因型(现重新命名为GI-19谱系)的流行病学模式和种群历史。我们基于1993年至2015年间从18个国家收集的807个毒株的部分S1序列进行分析,结果表明该基因型早在首次鉴定之前就起源于中国。经过长时间的本地传播后,它开始接连不断地传播到其他欧洲、亚洲和中东国家,病毒种群数量的相应波动也反映了这一点。有趣的是,与洲际传播相比,欧洲内部传播的估计迁移率更高,这可能反映了这些国家之间更紧密的地理和经济关系。尽管如此,GI-19谱系在新国家的定殖似乎大多是通过洲际和洲内传播中的单次引入事件发生的,这可能是由于流行病学因素和卫生政策的综合作用,似乎阻止了不同毒株的频繁引入和混合。另一方面,意大利境内QX传播的重建显示,不同地点之间的联系网络更为复杂,这表明控制IBV传播存在困难,尤其是在禽类高度密集的地区。意大利不同地区之间存在几个得到充分支持的流行病学联系,这证明动物运输和间接传播途径而非本地空气传播有助于QX基因型在当地的成功传播和持续存在。在全球范围内,QX基因型的传播动态和进化从其起源到现在都得到了重建,这表明需要采取更有效的直接控制措施,特别是在每个国家内部。不幸的是,现有分子流行病学数据的不完整性是一个无法克服的限制,这使得许多问题目前仍未解决,从而凸显了实施结构化监测和数据共享系统的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d986/5589226/4f0984bf7e64/pone.0184401.g001.jpg

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