The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil.
Sci Rep. 2019 Mar 20;9(1):4924. doi: 10.1038/s41598-019-40567-w.
Survival during an epidemic is partly determined by host genetics. While quantitative genetic studies typically consider survival as an indicator for disease resistance (an individual's propensity to avoid becoming infected or diseased), mortality rates of populations undergoing an epidemic are also affected by endurance (the propensity of diseased individual to survive the infection) and infectivity (i.e. the propensity of an infected individual to transmit disease). Few studies have demonstrated genetic variation in disease endurance, and no study has demonstrated genetic variation in host infectivity, despite strong evidence for considerable phenotypic variation in this trait. Here we propose an experimental design and statistical models for estimating genetic diversity in all three host traits. Using an infection model in fish we provide, for the first time, direct evidence for genetic variation in host infectivity, in addition to variation in resistance and endurance. We also demonstrate how genetic differences in these three traits contribute to survival. Our results imply that animals can evolve different disease response types affecting epidemic survival rates, with important implications for understanding and controlling epidemics.
在传染病流行期间,宿主的遗传因素在一定程度上决定了其存活率。虽然定量遗传学研究通常将存活率视为疾病抵抗力的一个指标(即个体避免感染或患病的倾向),但处于传染病流行中的种群的死亡率也受到耐力(患病个体存活感染的倾向)和传染性(即感染个体传播疾病的倾向)的影响。尽管在这一特征上存在相当大的表型变异的强有力证据,但很少有研究证明疾病耐力存在遗传变异,也没有研究证明宿主传染性存在遗传变异。在这里,我们提出了一个实验设计和统计模型,用于估计所有三种宿主特征的遗传多样性。我们使用鱼类的感染模型,首次提供了宿主传染性存在遗传变异的直接证据,此外还存在抵抗性和耐力的变异。我们还展示了这三个特征的遗传差异如何有助于生存。我们的研究结果表明,动物可以进化出不同的疾病反应类型,从而影响传染病的存活率,这对于理解和控制传染病具有重要意义。