Genomic analysis of the canonical case of virulence evolution: Myxomatosis in Au

毒力进化典型案例的基因组分析：Au 中的粘液瘤病

• 批准号: 8233562
• 负责人: Andrew F. Read
• 金额: $ 62.61万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-12-01 至 2016-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8233562
• 关键词: Address; Architecture; Archives; Attenuated; Australia; Avian Influenza; Biocontrols; Biological; Case Study; Data; Disease; Disease Outbreaks; Ecology; Engineering; Epidemic; Epidemiology; Europe; European; Evolution; Frequencies; Future; Genetic; Genomics; Genotype; Goals; HIV; Human; Infection; Infectious Agent; Link; Molecular; Molecular Biology; Molecular Evolution; Molecular Genetics; Mutation; Myxoma; Myxoma virus; Natural Selections; Oryctolagus cuniculus; Outcome; Phenotype; Phylogenetic Analysis; Population; Process; Public Health; Radiation; Risk; Role; Sampling; Series; Severity of illness; Shapes; South American; Ursidae Family; Variant; Vertebrates; Viral; Virulence; Virulent; Virus; Whole Organism; Work; attenuation; base; comparative genomics; experimental analysis; fitness; infectious disease evolution; interest; killings; mathematical model; mathematical theory; mutant; novel; pandemic disease; pathogen; positional cloning; pressure; progenitor; research study; theories; transmission process; virology

DESCRIPTION (provided by applicant): When viruses jump from their natural host into human populations, one of the most pressing questions early in any subsequent epidemic is how the virus will evolve if it cannot be immediately contained and eradicated. In particular, if global pandemics result, or the disease becomes endemic in humans, will it become more or less harmful? Mathematical models of disease ecology and evolution show that when certain key phenotypic determinants of viral fitness are known, it is possible to predict the subsequent direction of virulence evolution. The problem is that these phenotypic details are hard to elucidate. In contrast, advances in molecular biology mean that when cross-species jumps do occur, a deluge of genomic data is generated, allowing genetic tracking of disease evolution. Do these genomic data allow us to predict much about future risk? In this proposal we seek to determine the molecular genetic basis of the evolution of the highly lethal myxoma virus after it was deliberately released as a biocontrol agent against rabbits in both Australia and Europe in the 1950s. These releases were inadvertent experiments in virus evolution, and even today myxoma virus is perhaps the best characterized case of virulence evolution in any vertebrate disease. Critically, the key phenotypic determinants of viral fitness are well characterized, so that the reason natural selection caused changes in myxoma virulence are extremely well known. But the genetic basis of the virulence evolution is not. We will use genomic analysis of viral isolates from both continents, including those sampled in the 1950s, to identify candidate genetic changes responsible for virulence evolution, and then engineer viruses with those mutations. The engineered lines will then be used to determine the causal role of the mutations in the virulence evolution. This work will generate a case study where we can link genotype to phenotype in a context where the transmission ecology is well enough known to predict evolution. Thus, we will be able to assess the power of genomic analysis for predicting future risk. PUBLIC HEALTH RELEVANCE: Mathematical models suggest that when viruses like HIV or avian influenza jump into human populations, evolution in the subsequent epidemic(s) can make the disease more harmful or less harmful depending on the biological particulars. We will determine the genetic basis of changes in virulence which followed a uniquely well characterized species jump, and where the selective forces are well known. More generally, we aim to assess the value of genomic data in predicting public health risk.

描述（由申请人提供）：当病毒从其自然宿主跳到人群中时，在任何随后的流行病早期最紧迫的问题之一是，如果病毒不能立即得到控制和根除，它将如何进化。特别是，如果导致全球大流行，或者这种疾病在人类中流行，它的危害会更大还是更小？疾病生态学和进化的数学模型表明，当病毒适应性的某些关键表型决定因素已知时，就有可能预测随后的毒力进化方向。问题是这些表型细节很难阐明。相比之下，分子生物学的进步意味着，当跨物种跳跃确实发生时，就会产生大量的基因组数据，从而可以对疾病进化进行遗传追踪。这些基因组数据能让我们预测未来的风险吗？在本提案中，我们试图确定高致命性黏液瘤病毒在20世纪50年代在澳大利亚和欧洲作为生物防治剂被故意释放后进化的分子遗传基础。这些释放是在病毒进化过程中无意中进行的实验，即使在今天，黏液瘤病毒也可能是任何脊椎动物疾病中毒性进化的最典型案例。至关重要的是，病毒适应性的关键表型决定因素已被很好地表征，因此自然选择导致黏液瘤毒力变化的原因已广为人知。但毒力进化的遗传基础却不是。我们将对来自两个大陆的病毒分离株（包括20世纪50年代的样本）进行基因组分析，以确定导致毒力进化的候选基因变化，然后利用这些突变来设计病毒。这些基因工程细胞系将被用来确定这些突变在毒力进化中的因果作用。这项工作将产生一个案例研究，在这种情况下，我们可以将基因型与表型联系起来，在这种情况下，传播生态学已经足够了解，可以预测进化。因此，我们将能够评估基因组分析预测未来风险的能力。