Literature DB >> 27649621

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

K K Irwin1,2, S Laurent1,2, S Matuszewski1,2, S Vuilleumier1,2, L Ormond1,2, H Shim1,2, C Bank1,2,3, J D Jensen1,2,4.   

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.

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Year:  2016        PMID: 27649621      PMCID: PMC5117839          DOI: 10.1038/hdy.2016.58

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  63 in total

Review 1.  Mutational fitness effects in RNA and single-stranded DNA viruses: common patterns revealed by site-directed mutagenesis studies.

Authors:  Rafael Sanjuán
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-27       Impact factor: 6.237

2.  Linkage disequilibrium under skewed offspring distribution among individuals in a population.

Authors:  Bjarki Eldon; John Wakeley
Journal:  Genetics       Date:  2008-02-01       Impact factor: 4.562

3.  Generalized population models and the nature of genetic drift.

Authors:  Ricky Der; Charles L Epstein; Joshua B Plotkin
Journal:  Theor Popul Biol       Date:  2011-06-28       Impact factor: 1.570

4.  An ancestral recombination graph for diploid populations with skewed offspring distribution.

Authors:  Matthias Birkner; Jochen Blath; Bjarki Eldon
Journal:  Genetics       Date:  2012-11-12       Impact factor: 4.562

5.  A C++ template library for efficient forward-time population genetic simulation of large populations.

Authors:  Kevin R Thornton
Journal:  Genetics       Date:  2014-06-20       Impact factor: 4.562

6.  An Approximate Markov Model for the Wright-Fisher Diffusion and Its Application to Time Series Data.

Authors:  Anna Ferrer-Admetlla; Christoph Leuenberger; Jeffrey D Jensen; Daniel Wegmann
Journal:  Genetics       Date:  2016-04-02       Impact factor: 4.562

7.  Analysis of DNA sequence variation within marine species using Beta-coalescents.

Authors:  Matthias Steinrücken; Matthias Birkner; Jochen Blath
Journal:  Theor Popul Biol       Date:  2013-01-31       Impact factor: 1.570

8.  A coalescent model of background selection with recombination, demography and variation in selection coefficients.

Authors:  K Zeng
Journal:  Heredity (Edinb)       Date:  2012-11-28       Impact factor: 3.821

9.  A bayesian MCMC approach to assess the complete distribution of fitness effects of new mutations: uncovering the potential for adaptive walks in challenging environments.

Authors:  Claudia Bank; Ryan T Hietpas; Alex Wong; Daniel N Bolon; Jeffrey D Jensen
Journal:  Genetics       Date:  2014-01-07       Impact factor: 4.562

10.  Loss and recovery of genetic diversity in adapting populations of HIV.

Authors:  Pleuni S Pennings; Sergey Kryazhimskiy; John Wakeley
Journal:  PLoS Genet       Date:  2014-01-23       Impact factor: 5.917

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  17 in total

1.  Inferring Demography and Selection in Organisms Characterized by Skewed Offspring Distributions.

Authors:  Andrew M Sackman; Rebecca B Harris; Jeffrey D Jensen
Journal:  Genetics       Date:  2019-01-16       Impact factor: 4.562

2.  Coalescent Processes with Skewed Offspring Distributions and Nonequilibrium Demography.

Authors:  Sebastian Matuszewski; Marcel E Hildebrandt; Guillaume Achaz; Jeffrey D Jensen
Journal:  Genetics       Date:  2017-11-10       Impact factor: 4.562

Review 3.  The population genomics of within-host Mycobacterium tuberculosis.

Authors:  Ana Y Morales-Arce; Susanna J Sabin; Anne C Stone; Jeffrey D Jensen
Journal:  Heredity (Edinb)       Date:  2020-10-15       Impact factor: 3.821

4.  Efficient ancestry and mutation simulation with msprime 1.0.

Authors:  Franz Baumdicker; Gertjan Bisschop; Daniel Goldstein; Graham Gower; Aaron P Ragsdale; Georgia Tsambos; Sha Zhu; Bjarki Eldon; E Castedo Ellerman; Jared G Galloway; Ariella L Gladstein; Gregor Gorjanc; Bing Guo; Ben Jeffery; Warren W Kretzschumar; Konrad Lohse; Michael Matschiner; Dominic Nelson; Nathaniel S Pope; Consuelo D Quinto-Cortés; Murillo F Rodrigues; Kumar Saunack; Thibaut Sellinger; Kevin Thornton; Hugo van Kemenade; Anthony W Wohns; Yan Wong; Simon Gravel; Andrew D Kern; Jere Koskela; Peter L Ralph; Jerome Kelleher
Journal:  Genetics       Date:  2022-03-03       Impact factor: 4.402

5.  Dedicated population genomics for the silent world: the specific questions of marine population genetics.

Authors:  Nicolas Bierne; François Bonhomme; Sophie Arnaud-Haond
Journal:  Curr Zool       Date:  2016-11-03       Impact factor: 2.624

6.  Two sides of the same coin: A population genetics perspective on lethal mutagenesis and mutational meltdown.

Authors:  Sebastian Matuszewski; Louise Ormond; Claudia Bank; Jeffrey D Jensen
Journal:  Virus Evol       Date:  2017-03-02

Review 7.  Ecological and Evolutionary Processes Shaping Viral Genetic Diversity.

Authors:  Cas Retel; Hanna Märkle; Lutz Becks; Philine G D Feulner
Journal:  Viruses       Date:  2019-03-05       Impact factor: 5.048

8.  Evaluating the contributions of purifying selection and progeny-skew in dictating within-host Mycobacterium tuberculosis evolution.

Authors:  Ana Y Morales-Arce; Rebecca B Harris; Anne C Stone; Jeffrey D Jensen
Journal:  Evolution       Date:  2020-04-13       Impact factor: 4.171

9.  The Combined Effect of Oseltamivir and Favipiravir on Influenza A Virus Evolution.

Authors:  Louise Ormond; Ping Liu; Sebastian Matuszewski; Nicholas Renzette; Claudia Bank; Konstantin Zeldovich; Daniel N Bolon; Timothy F Kowalik; Robert W Finberg; Jeffrey D Jensen; Jennifer P Wang
Journal:  Genome Biol Evol       Date:  2017-07-01       Impact factor: 3.416

10.  Considering Genomic Scans for Selection as Coalescent Model Choice.

Authors:  Rebecca B Harris; Jeffrey D Jensen
Journal:  Genome Biol Evol       Date:  2020-06-01       Impact factor: 3.416

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