Liver Diseases-Viral Hepatitis, Liver Unit, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Barcelona Hospital Campus, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
Int J Mol Sci. 2022 Nov 24;23(23):14654. doi: 10.3390/ijms232314654.
The changes occurring in viral quasispecies populations during infection have been monitored using diversity indices, nucleotide diversity, and several other indices to summarize the quasispecies structure in a single value. In this study, we present a method to partition quasispecies haplotypes into four fractions according to their fitness: the master haplotype, rare haplotypes at two levels (those present at <0.1%, and those at 0.1−1%), and a fourth fraction that we term emerging haplotypes, present at frequencies >1%, but less than that of the master haplotype. We propose that by determining the changes occurring in the volume of the four quasispecies fitness fractions together with those of the Hill number profile we will be able to visualize and analyze the molecular changes in the composition of a quasispecies with time. To develop this concept, we used three data sets: a technical clone of the complete SARS-CoV-2 spike gene, a subset of data previously used in a study of rare haplotypes, and data from a clinical follow-up study of a patient chronically infected with HEV and treated with ribavirin. The viral response to ribavirin mutagenic treatment was selection of a rich set of synonymous haplotypes. The mutation spectrum was very complex at the nucleotide level, but at the protein (phenotypic/functional) level the pattern differed, showing a highly prevalent master phenotype. We discuss the putative implications of this observation in relation to mutagenic antiviral treatment.
在感染过程中,病毒准种群体中发生的变化已经通过多样性指数、核苷酸多样性和其他几个指数进行了监测,以将准种结构总结为一个单一的值。在这项研究中,我们提出了一种方法,根据其适应性将准种单倍型分为四个部分:主要单倍型、两种稀有单倍型(频率低于 0.1%和频率在 0.1-1%之间的单倍型)和第四部分,我们称之为新兴单倍型,其频率大于 1%,但低于主要单倍型。我们提出,通过确定四个准种适应性分数的体积变化以及 Hill 数谱的变化,我们将能够可视化和分析准种组成随时间的分子变化。为了发展这一概念,我们使用了三个数据集:SARS-CoV-2 刺突基因的完整技术克隆、先前用于稀有单倍型研究的数据集的一个子集以及慢性感染 HEV 并接受利巴韦林治疗的患者的临床随访研究数据。病毒对利巴韦林致突变治疗的反应是选择了一组丰富的同义单倍型。核苷酸水平上的突变谱非常复杂,但在蛋白质(表型/功能)水平上,模式不同,表现出高度流行的主要表型。我们讨论了这一观察结果在致突变抗病毒治疗方面的潜在意义。