Link Nichole, Harnish J Michael, Hull Brooke, Gibson Shelley, Dietze Miranda, Mgbike Uchechukwu E, Medina-Balcazar Silvia, Shah Priya S, Yamamoto Shinya
Department of Neurobiology, University of Utah, Salt Lake City, UT, 84112, USA.
Howard Hughes Medical Institute, Baylor College of Medicine (BCM), Houston, TX, 77030, USA.
bioRxiv. 2023 Apr 29:2023.04.28.538736. doi: 10.1101/2023.04.28.538736.
In the past decade, Zika virus (ZIKV) emerged as a global public health concern. While adult infections are typically mild, maternal infection can lead to adverse fetal outcomes. Understanding how ZIKV proteins disrupt development can provide insights into the molecular mechanisms of symptoms caused by this virus including microcephaly. In this study, we generated a toolkit to ectopically express Zika viral proteins in in a tissue-specific manner using the GAL4/UAS system. We use this toolkit to identify phenotypes and host pathways targeted by the virus. Our work identified that expression of most ZIKV proteins cause scorable phenotypes, such as overall lethality, gross morphological defects, reduced brain size, and neuronal function defects. We further use this system to identify strain-dependent phenotypes that may contribute to the increased pathogenesis associated with the more recent outbreak of ZIKV in the Americas. Our work demonstrates use as an efficient model to rapidly decipher how pathogens cause disease and lays the groundwork for further molecular study of ZIKV pathogenesis in flies.
在过去十年中,寨卡病毒(ZIKV)成为全球公共卫生关注的焦点。虽然成人感染通常症状较轻,但孕妇感染可能导致不良的胎儿结局。了解寨卡病毒蛋白如何干扰发育,有助于深入了解该病毒引起的症状(包括小头畸形)的分子机制。在本研究中,我们构建了一个工具包,利用GAL4/UAS系统以组织特异性方式异位表达寨卡病毒蛋白。我们使用这个工具包来鉴定该病毒靶向的表型和宿主通路。我们的研究发现,大多数寨卡病毒蛋白的表达会导致可评分的表型,如整体致死率、明显的形态缺陷、脑尺寸减小和神经元功能缺陷。我们进一步利用这个系统来鉴定可能导致与美洲近期寨卡病毒爆发相关的发病机制增加的菌株依赖性表型。我们的研究证明了该系统可作为一个高效模型,用于快速解读病原体如何引发疾病,并为在果蝇中进一步开展寨卡病毒发病机制的分子研究奠定了基础。