Literature DB >> 24239053

Promises and limitations of hitchhiking mapping.

Sergey V Nuzhdin1, Thomas L Turner.   

Abstract

Building the connection between genetic and phenotypic variation is an important 'work in progress', and one that will enable proactive diagnosis and treatment in medicine, promote development of environment-targeted varieties in agriculture, and clarify the limits of species adaptation to changing environments in conservation. Quantitative trait loci (QTL) mapping and genome wide association (GWA) studies have recently been allied to an additional focus on 'hitchhiking' (HH) mapping--using changes in allele frequency due to artificial or natural selection. This older technique has been popularized by the falling costs of high throughput sequencing. Initial HH-resequensing experiments seem to have found many thousands of polymorphisms responding to selection. We argue that this interpretation appears too optimistic, and that the data might in fact be more consistent with dozens, rather than thousands, of loci under selection. We propose several developments required for sensible data analyses that will fully realize the great power of the HH technique, and outline ways of moving forward.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24239053      PMCID: PMC3872824          DOI: 10.1016/j.gde.2013.10.002

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  28 in total

1.  Trait-based analyses for the detection of linkage between marker loci and quantitative trait loci in crosses between inbred lines.

Authors:  R J Lebowitz; M Soller; J S Beckmann
Journal:  Theor Appl Genet       Date:  1987-02       Impact factor: 5.699

2.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

3.  The hitch-hiking effect of a favourable gene.

Authors:  J M Smith; J Haigh
Journal:  Genet Res       Date:  1974-02       Impact factor: 1.588

4.  The analysis of selection in experimental populations.

Authors:  W H DuMouchel; W W Anderson
Journal:  Genetics       Date:  1968-03       Impact factor: 4.562

5.  Experimental selection of hypoxia-tolerant Drosophila melanogaster.

Authors:  Dan Zhou; Nitin Udpa; Merril Gersten; DeeAnn W Visk; Ali Bashir; Jin Xue; Kelly A Frazer; James W Posakony; Shankar Subramaniam; Vineet Bafna; Gabriel G Haddad
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-24       Impact factor: 11.205

6.  Genome-wide analysis of a long-term evolution experiment with Drosophila.

Authors:  Molly K Burke; Joseph P Dunham; Parvin Shahrestani; Kevin R Thornton; Michael R Rose; Anthony D Long
Journal:  Nature       Date:  2010-09-15       Impact factor: 49.962

Review 7.  Mutations and quantitative genetic variation: lessons from Drosophila.

Authors:  Trudy F C Mackay
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

8.  Combining genome-wide methods to investigate the genetic complexity of courtship song variation in Drosophila melanogaster.

Authors:  Thomas L Turner; Paige M Miller; Veronica A Cochrane
Journal:  Mol Biol Evol       Date:  2013-06-18       Impact factor: 16.240

9.  A guide for the design of evolve and resequencing studies.

Authors:  Robert Kofler; Christian Schlötterer
Journal:  Mol Biol Evol       Date:  2013-11-09       Impact factor: 16.240

10.  Finding the sources of missing heritability in a yeast cross.

Authors:  Joshua S Bloom; Ian M Ehrenreich; Wesley T Loo; Thúy-Lan Võ Lite; Leonid Kruglyak
Journal:  Nature       Date:  2013-02-03       Impact factor: 49.962

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  25 in total

1.  Genomic changes under rapid evolution: selection for parasitoid resistance.

Authors:  Kirsten M Jalvingh; Peter L Chang; Sergey V Nuzhdin; Bregje Wertheim
Journal:  Proc Biol Sci       Date:  2014-02-05       Impact factor: 5.349

2.  Estimating the genome-wide contribution of selection to temporal allele frequency change.

Authors:  Vince Buffalo; Graham Coop
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-12       Impact factor: 11.205

3.  Systems biology and the analysis of genetic variation.

Authors:  Shamil R Sunyaev; Frederick P Roth
Journal:  Curr Opin Genet Dev       Date:  2013-11-28       Impact factor: 5.578

4.  Select and resequence reveals relative fitness of bacteria in symbiotic and free-living environments.

Authors:  Liana T Burghardt; Brendan Epstein; Joseph Guhlin; Matt S Nelson; Margaret R Taylor; Nevin D Young; Michael J Sadowsky; Peter Tiffin
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-16       Impact factor: 11.205

5.  Pervasive Linked Selection and Intermediate-Frequency Alleles Are Implicated in an Evolve-and-Resequencing Experiment of Drosophila simulans.

Authors:  John K Kelly; Kimberly A Hughes
Journal:  Genetics       Date:  2018-12-28       Impact factor: 4.562

6.  The Genomic Architecture of Adaptation to Larval Malnutrition Points to a Trade-off with Adult Starvation Resistance in Drosophila.

Authors:  Tadeusz J Kawecki; Berra Erkosar; Cindy Dupuis; Brian Hollis; R Craig Stillwell; Martin Kapun
Journal:  Mol Biol Evol       Date:  2021-06-25       Impact factor: 16.240

7.  Whole-Genome Resequencing of Experimental Populations Reveals Polygenic Basis of Egg-Size Variation in Drosophila melanogaster.

Authors:  Aashish R Jha; Cecelia M Miles; Nodia R Lippert; Christopher D Brown; Kevin P White; Martin Kreitman
Journal:  Mol Biol Evol       Date:  2015-06-03       Impact factor: 16.240

8.  Genome Scan for Selection in Structured Layer Chicken Populations Exploiting Linkage Disequilibrium Information.

Authors:  Mahmood Gholami; Christian Reimer; Malena Erbe; Rudolf Preisinger; Annett Weigend; Steffen Weigend; Bertrand Servin; Henner Simianer
Journal:  PLoS One       Date:  2015-07-07       Impact factor: 3.240

9.  Patterns of linkage disequilibrium and long range hitchhiking in evolving experimental Drosophila melanogaster populations.

Authors:  Susanne U Franssen; Viola Nolte; Ray Tobler; Christian Schlötterer
Journal:  Mol Biol Evol       Date:  2014-11-17       Impact factor: 16.240

10.  Shared Genetic Signals of Hypoxia Adaptation in Drosophila and in High-Altitude Human Populations.

Authors:  Aashish R Jha; Dan Zhou; Christopher D Brown; Martin Kreitman; Gabriel G Haddad; Kevin P White
Journal:  Mol Biol Evol       Date:  2015-11-17       Impact factor: 16.240

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