Ancestral reproductive bias in branching processes

J Math Biol. 2023 Apr 7;86(5):70. doi: 10.1007/s00285-023-01907-7.

Abstract

Consider a branching process whose reproduction law is homogeneous. Sampling a single cell uniformly from the population at a time [Formula: see text] and looking along the sampled cell's ancestral lineage, we find that the reproduction law is heterogeneous-the expected reproductive output of ancestral cells on the lineage from time 0 to time T continuously increases with time. This 'inspection paradox' is due to sampling bias, that cells with a larger number of offspring are more likely to have one of their descendants sampled by virtue of their prolificity. The bias's strength changes with the random population size and/or the sampling time T. Our main result explicitly characterises the evolution of reproduction rates and sizes along the sampled ancestral lineage as a mixture of Poisson processes, which simplifies in special cases. The ancestral bias helps to explain recently observed variation in mutation rates along lineages of the developing human embryo.

Keywords: Branching process; Inspection paradox; Mutation rates; Reproductive bias; Spines; Uniform sampling.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Models, Genetic*
  • Mutation Rate*