Wood Graham R, Ryabov Eugene V, Fannon Jessica M, Moore Jonathan D, Evans David J, Burroughs Nigel
Warwick Systems Biology Centre, Senate House, University of Warwick, Coventry, CV4 7AL, UK
School of Life Sciences, University of Warwick, Coventry, CV4 7AL, UK.
Nucleic Acids Res. 2014;42(16):e123. doi: 10.1093/nar/gku524. Epub 2014 Aug 12.
Viral recombination is a key evolutionary mechanism, aiding escape from host immunity, contributing to changes in tropism and possibly assisting transmission across species barriers. The ability to determine whether recombination has occurred and to locate associated specific recombination junctions is thus of major importance in understanding emerging diseases and pathogenesis. This paper describes a method for determining recombinant mosaics (and their proportions) originating from two parent genomes, using high-throughput sequence data. The method involves setting the problem geometrically and the use of appropriately constrained quadratic programming. Recombinants of the honeybee deformed wing virus and the Varroa destructor virus-1 are inferred to illustrate the method from both siRNAs and reads sampling the viral genome population (cDNA library); our results are confirmed experimentally. Matlab software (MosaicSolver) is available.
病毒重组是一种关键的进化机制,有助于病毒逃避宿主免疫,促使嗜性发生变化,并可能协助病毒跨越物种屏障进行传播。因此,确定重组是否发生以及定位相关的特定重组连接点的能力,对于理解新出现的疾病和发病机制至关重要。本文描述了一种利用高通量序列数据来确定源自两个亲本基因组的重组嵌合体(及其比例)的方法。该方法涉及将问题几何化处理,并使用适当约束的二次规划。通过对蜜蜂残翅病毒和狄斯瓦螨病毒-1的重组体进行推断,以说明从病毒基因组群体(cDNA文库)的小干扰RNA和读数样本中应用该方法的情况;我们的结果得到了实验证实。Matlab软件(MosaicSolver)可供使用。