On the importance of skewed offspring distributions and background selection in virus population genetics

K. K. Irwin, S. Laurent, S. Matuszewski, S. Vuilleumier, L. Ormond, H. Shim, C. Bank, Jeffrey Jensen

Research output: Contribution to journalReview articlepeer-review

19 Scopus citations

Abstract

Many features of virus populations make them excellent candidates for population genetic study, including a very high rate of mutation, high levels of nucleotide diversity, exceptionally large census population sizes, and frequent positive selection. However, these attributes also mean that special care must be taken in population genetic inference. For example, highly skewed offspring distributions, frequent and severe population bottleneck events associated with infection and compartmentalization, and strong purifying selection all affect the distribution of genetic variation but are often not taken into account. Here, we draw particular attention to multiple-merger coalescent events and background selection, discuss potential misinference associated with these processes, and highlight potential avenues for better incorporating them into future population genetic analyses.

Original languageEnglish (US)
Pages (from-to)393-399
Number of pages7
JournalHeredity
Volume117
Issue number6
DOIs
StatePublished - Dec 1 2016

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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