Durrant Rowan, Cobbold Christina A, Brunker Kirstyn, Campbell Kathryn, Dushoff Jonathan, Ferguson Elaine A, Jaswant Gurdeep, Lugelo Ahmed, Lushasi Kennedy, Sikana Lwitiko, Hampson Katie
Boyd Orr Centre for Population and Ecosystem Health, School of Biodiversity, One Health & Veterinary Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, United Kingdom.
School of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom.
PLoS Pathog. 2024 Nov 25;20(11):e1012740. doi: 10.1371/journal.ppat.1012740. eCollection 2024 Nov.
The molecular clock hypothesis assumes that mutations accumulate on an organism's genome at a constant rate over time, but this assumption does not always hold true. While modelling approaches exist to accommodate deviations from a strict molecular clock, assumptions about rate variation may not fully represent the underlying evolutionary processes. There is considerable variability in rabies virus (RABV) incubation periods, ranging from days to over a year, during which viral replication may be reduced. This prompts the question of whether modelling RABV on a per infection generation basis might be more appropriate. We investigate how variable incubation periods affect root-to-tip divergence under per-unit time and per-generation models of mutation. Additionally, we assess how well these models represent root-to-tip divergence in time-stamped RABV sequences. We find that at low substitution rates (<1 substitution per genome per generation) divergence patterns between these models are difficult to distinguish, while above this threshold differences become apparent across a range of sampling rates. Using a Tanzanian RABV dataset, we calculate the mean substitution rate to be 0.17 substitutions per genome per generation. At RABV's substitution rate, the per-generation substitution model is unlikely to represent rabies evolution substantially differently than the molecular clock model when examining contemporary outbreaks; over enough generations for any divergence to accumulate, extreme incubation periods average out. However, measuring substitution rates per-generation holds potential in applications such as inferring transmission trees and predicting lineage emergence.
分子钟假说假定,随着时间推移,突变以恒定速率在生物体基因组上积累,但这一假定并非总是成立。虽然存在一些建模方法来适应与严格分子钟的偏差,但关于速率变化的假设可能无法完全反映潜在的进化过程。狂犬病病毒(RABV)的潜伏期差异很大,从数天到一年多不等,在此期间病毒复制可能会减少。这就引发了一个问题,即基于每次感染代次对狂犬病病毒进行建模是否更合适。我们研究了可变潜伏期如何在单位时间和每代突变模型下影响根到尖的分歧。此外,我们评估了这些模型在带时间戳的狂犬病病毒序列中对根到尖分歧的表征程度。我们发现,在低替换率(每代每个基因组少于1次替换)时,这些模型之间的分歧模式难以区分,而高于此阈值时,在一系列采样率下差异就会变得明显。使用坦桑尼亚狂犬病病毒数据集,我们计算出平均替换率为每代每个基因组0.17次替换。在狂犬病病毒的替换率下,在研究当代疫情时,每代替换模型对狂犬病进化的表征与分子钟模型不太可能有实质性差异;经过足够多的代次使任何分歧积累起来后,极端潜伏期的影响会平均化。然而,每代测量替换率在推断传播树和预测谱系出现等应用中具有潜力。