Novel High-Quality Amoeba Genomes Reveal Widespread Codon Usage Mismatch Between Giant Viruses and Their Hosts.

IF 3.2 2区 生物学 Q2 EVOLUTIONARY BIOLOGY
Anouk Willemsen, Alejandro Manzano-Marín, Matthias Horn
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引用次数: 0

Abstract

The need for high-quality protist genomes has prevented in-depth computational and experimental studies of giant virus-host interactions. In addition, our current knowledge of host range is highly biased due to the few hosts used to isolate novel giant viruses. This study presents 6 high-quality amoeba genomes from known and potential giant virus hosts belonging to 2 distinct eukaryotic clades: Amoebozoa and Discoba. We employ their genomic data to investigate the predictability of giant virus host range. Using a combination of long- and short-read sequencing, we obtained highly contiguous and complete genomes of Acanthamoeba castellanii, Acanthamoeba griffini, Acanthamoeba terricola, Naegleria clarki, Vermamoeba vermiformis, and Willaertia magna, contributing to the collection of sequences for the eukaryotic tree of life. We found that the 6 amoebae have distinct codon usage patterns and that, contrary to other virus groups, giant viruses often have different and even opposite codon usage with their known hosts. Conversely, giant viruses with matching codon usage are frequently not known to infect or replicate in these hosts. Interestingly, analyses of integrated viral sequences in the amoeba host genomes reveal potential novel virus-host associations. Matching of codon usage preferences is often used to predict virus-host pairs. However, with the broad-scale analyses performed in this study, we demonstrate that codon usage alone appears to be a poor predictor of host range for giant viruses infecting amoeba. We discuss the potential strategies that giant viruses employ to ensure high viral fitness in nonmatching hosts. Moreover, this study emphasizes the need for more high-quality protist genomes. Finally, the amoeba genomes presented in this study set the stage for future experimental studies to better understand how giant viruses interact with different host species.

由于需要高质量的原生生物基因组,因此无法对巨型病毒与宿主的相互作用进行深入的计算和实验研究。此外,由于用于分离新型巨型病毒的宿主很少,我们目前对宿主范围的了解存在很大偏差。本研究展示了 6 个高质量的变形虫基因组,它们来自已知和潜在的巨型病毒宿主,属于 2 个不同的真核生物支系:阿米巴虫和碟形虫。我们利用它们的基因组数据来研究巨型病毒宿主范围的可预测性。通过长短线程测序相结合的方法,我们获得了Acanthamoeba castellanii、Acanthamoeba griffini、Acanthamoeba terricola、Naegleria clarki、Vermamoeba vermiformis和Willaertia magna高度连续的完整基因组,为真核生命树的序列收集做出了贡献。我们发现,6 种变形虫具有不同的密码子使用模式,而且与其他病毒类群相反,巨型病毒与其已知宿主的密码子使用模式往往不同,甚至相反。相反,具有相同密码子用法的巨型病毒往往不会感染这些宿主或在宿主体内复制。有趣的是,对变形虫宿主基因组中整合病毒序列的分析揭示了潜在的新型病毒-宿主关联。密码子使用偏好匹配通常用于预测病毒-宿主配对。然而,通过本研究中进行的大范围分析,我们发现仅凭密码子用法似乎并不能预测感染变形虫的巨型病毒的宿主范围。我们讨论了巨型病毒在非匹配宿主中确保高病毒适应性的潜在策略。此外,这项研究还强调了对更多高质量原生动物基因组的需求。最后,本研究中介绍的变形虫基因组为未来的实验研究奠定了基础,以便更好地了解巨型病毒如何与不同宿主物种相互作用。
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来源期刊
Genome Biology and Evolution
Genome Biology and Evolution EVOLUTIONARY BIOLOGY-GENETICS & HEREDITY
CiteScore
5.80
自引率
6.10%
发文量
169
审稿时长
1 months
期刊介绍: About the journal Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective.
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