Wallace Megan A, Wille Michelle, Geoghegan Jemma, Imrie Ryan M, Holmes Edward C, Harrison Xavier A, Longdon Ben
Centre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, Penryn, Cornwall, UK.
Centre for Pathogen Genomics, Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
Proc Biol Sci. 2025 Apr;292(2044):20250389. doi: 10.1098/rspb.2025.0389. Epub 2025 Apr 2.
Understanding the patterns and drivers of viral prevalence and abundance is of key importance for understanding pathogen emergence. Over the last decade, metagenomic sequencing has exponentially expanded our knowledge of the diversity and evolution of viruses associated with all domains of life. However, as most of these 'virome' studies are primarily descriptive, our understanding of the predictors of virus prevalence, abundance and diversity, and their variation in space and time, remains limited. For example, we do not yet understand the relative importance of ecological predictors (e.g. seasonality and habitat) versus evolutionary predictors (e.g. host and virus phylogenies) in driving virus prevalence and diversity. Few studies are set up to reveal the factors that predict the virome composition of individual hosts, populations or species. In addition, most studies of virus ecology represent a snapshot of single species viromes at a single point in time and space. Fortunately, recent studies have begun to use metagenomic data to directly test hypotheses about the evolutionary and ecological factors which drive virus prevalence, sharing and diversity. By synthesizing evidence across studies, we present some over-arching ecological and evolutionary patterns in virome composition, and illustrate the need for additional work to quantify the drivers of virus prevalence and diversity.
了解病毒流行率和丰度的模式及驱动因素对于理解病原体的出现至关重要。在过去十年中,宏基因组测序极大地扩展了我们对与生命各领域相关病毒的多样性和进化的认识。然而,由于大多数这些“病毒组”研究主要是描述性的,我们对病毒流行率、丰度和多样性的预测因子及其在空间和时间上的变化的理解仍然有限。例如,我们尚不了解生态预测因子(如季节性和栖息地)与进化预测因子(如宿主和病毒系统发育)在驱动病毒流行率和多样性方面的相对重要性。很少有研究旨在揭示预测个体宿主、种群或物种病毒组组成的因素。此外,大多数病毒生态学研究只是在单一时间和空间点上对单个物种病毒组的快照。幸运的是,最近的研究已开始利用宏基因组数据直接检验关于驱动病毒流行率、共享和多样性的进化和生态因素的假设。通过综合各项研究的证据,我们展示了病毒组组成中一些总体的生态和进化模式,并说明了需要开展更多工作来量化病毒流行率和多样性的驱动因素。