Stauffer Thompson Kristen A, Rempala Grzegorz A, Yin John
Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706-1607, USA.
Department of Mathematics, University of Louisville, Louisville, KY 40292, USA.
J Gen Virol. 2009 Apr;90(Pt 4):888-899. doi: 10.1099/vir.0.005249-0. Epub 2009 Mar 4.
Defective interfering particles (DIPs) are virus-like particles that arise during virus growth, fail to grow in the absence of virus, and replicate at the expense of virus during co-infections. The inhibitory effects of DIPs on virus growth are well established, but little is known about how DIPs influence their own growth. Here vesicular stomatitis virus (VSV) and its DIPs were used to co-infect BHK cells, and the effect of DIP dose on virus and DIP production was measured using a yield-reduction assay. The resulting dose-response data were used to fit and evaluate mathematical models that employed different assumptions. Our analysis supports a multiple-hit process where DIPs inhibit or promote virus and DIP production, depending on dose. Specifically, three regimes of co-infection were apparent: (i) low DIP - where both virus and DIPs are amplified, (ii) medium DIP - where amplification of both virus and DIPs is inhibited, and (iii) high DIP - with limited recovery of virus production and further inhibition of DIP growth. In addition, serial-passage infections enabled us to estimate the frequency of de novo DIP generation during virus amplification. Our combined experiments and models provide a means to understand better how DIPs quantitatively impact the growth of viruses and the spread of their infections.
缺陷干扰颗粒(DIPs)是在病毒生长过程中产生的类病毒颗粒,在没有病毒的情况下无法生长,并且在共感染期间以牺牲病毒为代价进行复制。DIPs对病毒生长的抑制作用已得到充分证实,但关于DIPs如何影响自身生长却知之甚少。在这里,水泡性口炎病毒(VSV)及其DIPs被用于共感染BHK细胞,并使用产量降低试验测量DIP剂量对病毒和DIP产生的影响。所得的剂量反应数据用于拟合和评估采用不同假设的数学模型。我们的分析支持一个多步过程,其中DIPs根据剂量抑制或促进病毒和DIP的产生。具体而言,共感染的三种情况很明显:(i)低DIP——病毒和DIPs都被扩增,(ii)中DIP——病毒和DIPs的扩增都被抑制,以及(iii)高DIP——病毒产生的恢复有限,且DIP生长进一步受到抑制。此外,连续传代感染使我们能够估计病毒扩增过程中从头产生DIP的频率。我们的综合实验和模型提供了一种更好地理解DIPs如何定量影响病毒生长及其感染传播的方法。