Examining the molecular clock hypothesis for the contemporary evolution of the rabies virus

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.

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Publication Details

Journal
PLoS Pathogens
Published
2024-11-25
DOI
https://doi.org/10.1371/journal.ppat.1012740
Citations
2
Primary Topic
Rabies epidemiology and control
Type
article
Field-Weighted Citation Impact
0.59

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article

Examining the molecular clock hypothesis for the contemporary evolution of the rabies virus

Elaine A. Ferguson, Christina A. Cobbold, Ahmed Lugelo, Kirstyn Brunker et al.
2 citations
PLoS Pathogens
Rabies epidemiology and control
0.59
article

Examining the molecular clock hypothesis for the contemporary evolution of the rabies virus

Elaine A. Ferguson, Christina A. Cobbold, Ahmed Lugelo, Kirstyn Brunker, Rowan Durrant, Gurdeep Jaswant, Lwitiko Sikana, Jonathan Dushoff, Kennedy Selestin Lushasi, Kathryn S. Campbell, Katie Hampson
article en
2 citations

Abstract

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.

PLoS PathogensVol. 20(11)
Ifakara Health Institute (TZ), University of Nairobi (KE), Tanzania Industrial Research and Development Organization (TZ), Glasgow Centre for Population Health (GB), University of Glasgow (GB), McMaster University (CA)
Wellcome Trust, National Institute for Health and Care Research, University of Glasgow, Medical Research Council, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 31%
Rabies epidemiology and control
0.59
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