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意大利猪场中猪繁殖与呼吸综合征病毒的进化动态:一项回顾性研究。

Evolutionary dynamics of PRRS virus in Italian Pig farms: a retrospective study.

作者信息

Parisio Giovanni, Franzo Giovanni, Barbieri Ilaria, Carta Valentina, Stadejek Tomasz, Manenti Sonia, Campagna Debora, Faccini Silvia, Vignola Greta, Alborali Giovanni L, Boniotti Maria B

机构信息

Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna, Brescia, 25124, Italy.

Department fo Animal Medicine, Production and Health (MAPS), University of Padua, Legnaro, 35020, PD, Italy.

出版信息

Virol J. 2024 Dec 20;21(1):326. doi: 10.1186/s12985-024-02569-7.

Abstract

Porcine Reproductive and Respiratory Syndrome (PRRS) causes huge economic losses to pig farms worldwide. Currently available vaccines do not always offer complete protection, due to the extreme variability of the virus. Therefore, good farming practices must be improved to prevent the disease from spreading across the pig production system. In this study, we inferred the dynamics of PRRSV population in Italy by applying bayesian methods on our ORF7 sequence dataset collected during a 15-years period. Random subsets from the overall dataset were built to reduce analysis runtime. Calculated evolutionary rate was consistent between subsets and with other findings on PRRSV and other RNA viruses (4-7 × 10 substitution/site/year) while Time to the Most Recent Common Ancestor was less consistent (from 1980 to 1990). Despite this, in all population dynamic reconstructions, a massive increase in size calculated in early 2000s lasting until around 2010 was inferred. This spike is followed by very heterogeneous dynamics with some differences between subsets, probably due to the random sampling. Geographical origin was inferred in Emilia-Romagna region despite Lombardy being the region with the highest number of farmed animals and farm size. These findings reflect the choices regarding farm management and biosecurity taken in the last two decades, and not strictly related to PRRS. Phylogeny and phylogeography are powerful tools to better understand microorganisms population dynamics and make appropriate choices for disease control.

摘要

猪繁殖与呼吸综合征(PRRS)给全球养猪场造成了巨大的经济损失。由于该病毒的极端变异性,目前可用的疫苗并不总能提供完全的保护。因此,必须改进良好的养殖 practices,以防止疾病在生猪生产系统中传播。在本研究中,我们通过对15年期间收集的ORF7序列数据集应用贝叶斯方法,推断了意大利PRRSV种群的动态。从整个数据集中构建随机子集以减少分析运行时间。各子集之间以及与PRRSV和其他RNA病毒的其他研究结果(4-7×10替换/位点/年)计算出的进化速率是一致的,而最近共同祖先的时间则不太一致(从1980年到1990年)。尽管如此,在所有种群动态重建中,推断出21世纪初规模大幅增加,一直持续到2010年左右。在此峰值之后是非常不均匀的动态,各子集之间存在一些差异,这可能是由于随机抽样造成的。尽管伦巴第是养殖动物数量和农场规模最多的地区,但在艾米利亚 - 罗马涅地区推断出了地理起源。这些发现反映了过去二十年中关于农场管理和生物安全的选择,并且与PRRS没有严格关系。系统发育和系统地理学是更好地理解微生物种群动态并为疾病控制做出适当选择的有力工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39f1/11662469/0bbe8fa1ba24/12985_2024_2569_Fig1_HTML.jpg

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