Accurate Allele Frequencies from Ultra-low Coverage Pool-Seq Samples in Evolve-and-Resequence Experiments.


Journal

G3 (Bethesda, Md.)
ISSN: 2160-1836
Titre abrégé: G3 (Bethesda)
Pays: England
ID NLM: 101566598

Informations de publication

Date de publication:
03 12 2019
Historique:
pubmed: 23 10 2019
medline: 21 4 2020
entrez: 23 10 2019
Statut: epublish

Résumé

Evolve-and-resequence (E+R) experiments leverage next-generation sequencing technology to track the allele frequency dynamics of populations as they evolve. While previous work has shown that adaptive alleles can be detected by comparing frequency trajectories from many replicate populations, this power comes at the expense of high-coverage (>100x) sequencing of many pooled samples, which can be cost-prohibitive. Here, we show that accurate estimates of allele frequencies can be achieved with very shallow sequencing depths (<5x) via inference of known founder haplotypes in small genomic windows. This technique can be used to efficiently estimate frequencies for any number of bi-allelic SNPs in populations of any model organism founded with sequenced homozygous strains. Using both experimentally-pooled and simulated samples of

Identifiants

pubmed: 31636085
pii: g3.119.400755
doi: 10.1534/g3.119.400755
pmc: PMC6893198
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4159-4168

Subventions

Organisme : NIGMS NIH HHS
ID : F32 GM097837
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM100366
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM118165
Pays : United States
Organisme : NHGRI NIH HHS
ID : T32 HG000044
Pays : United States

Informations de copyright

Copyright © 2019 Tilk et al.

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Auteurs

Susanne Tilk (S)

Department of Biology, Stanford University, Stanford CA 94305, greensi@lbl.gov.

Alan Bergland (A)

Department of Biology, Stanford University, Stanford CA 94305.
Department of Biology, University of Virginia, Charlottesville VA 22904, and.

Aaron Goodman (A)

Department of Biology, Stanford University, Stanford CA 94305.

Paul Schmidt (P)

Department of Biology, University of Pennsylvania, Philadelphia PA 19104.

Dmitri Petrov (D)

Department of Biology, Stanford University, Stanford CA 94305.

Sharon Greenblum (S)

Department of Biology, Stanford University, Stanford CA 94305, greensi@lbl.gov greensi@lbl.gov.

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