Literature DB >> 23601112

Recombination in the threespine stickleback genome--patterns and consequences.

Marius Roesti1, Dario Moser, Daniel Berner.   

Abstract

Heterogeneity in recombination rate may strongly influence genome evolution and entail methodological challenges to genomic investigation. Nevertheless, a solid understanding of these issues awaits detailed information across a broad range of taxa. Based on 282 F(2) individuals and 1872 single nucleotide polymorphisms, we characterize recombination in the threespine stickleback fish genome. We find an average genome-wide recombination rate of 3.11 cm/Mb. Crossover frequencies are dramatically elevated in the chromosome peripheries as compared to the centres, and are consistent with one obligate crossover per chromosome (but not chromosome arm). Along the sex chromosome, we show that recombination is restricted to a small pseudoautosomal domain of c. 2 Mb, spanning only 10% of that chromosome. Comparing female to male RAD sequence coverage allows us to identify two discrete levels of degeneration on the Y chromosome, one of these 'evolutionary strata' coinciding with a previously inferred inverted region. Using polymorphism data from two young (<10 000 years old) ecologically diverged lake-stream population pairs, we demonstrate that recombination rate correlates with both the magnitude of allele frequency shifts between populations and levels of genetic diversity within populations. These associations reflect genome-wide heterogeneity in the influence of selection on linked sites. We further find a strong relationship between recombination rate and GC content, possibly driven by GC-biased gene conversion. Overall, we highlight that heterogeneity in recombination rate has profound consequences on genome evolution and deserves wider recognition in marker-based genomic analyses.
© 2013 John Wiley & Sons Ltd.

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Year:  2013        PMID: 23601112     DOI: 10.1111/mec.12322

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  94 in total

1.  The Impact of Recombination Hotspots on Genome Evolution of a Fungal Plant Pathogen.

Authors:  Daniel Croll; Mark H Lendenmann; Ethan Stewart; Bruce A McDonald
Journal:  Genetics       Date:  2015-09-21       Impact factor: 4.562

2.  Purifying Selection Maintains Dosage-Sensitive Genes during Degeneration of the Threespine Stickleback Y Chromosome.

Authors:  Michael A White; Jun Kitano; Catherine L Peichel
Journal:  Mol Biol Evol       Date:  2015-03-26       Impact factor: 16.240

3.  Selection, Linkage, and Population Structure Interact To Shape Genetic Variation Among Threespine Stickleback Genomes.

Authors:  Thomas C Nelson; Johnathan G Crandall; Catherine M Ituarte; Julian M Catchen; William A Cresko
Journal:  Genetics       Date:  2019-06-18       Impact factor: 4.562

Review 4.  Making sense of genomic islands of differentiation in light of speciation.

Authors:  Jochen B W Wolf; Hans Ellegren
Journal:  Nat Rev Genet       Date:  2016-11-14       Impact factor: 53.242

5.  Building Ultra-High-Density Linkage Maps Based on Efficient Filtering of Trustable Markers.

Authors:  Yefim I Ronin; David I Mester; Dina G Minkov; Eduard Akhunov; Abraham B Korol
Journal:  Genetics       Date:  2017-05-16       Impact factor: 4.562

6.  Repeated Selection of Alternatively Adapted Haplotypes Creates Sweeping Genomic Remodeling in Stickleback.

Authors:  Susan Bassham; Julian Catchen; Emily Lescak; Frank A von Hippel; William A Cresko
Journal:  Genetics       Date:  2018-05-24       Impact factor: 4.562

7.  The Genomic Architecture of a Rapid Island Radiation: Recombination Rate Variation, Chromosome Structure, and Genome Assembly of the Hawaiian Cricket Laupala.

Authors:  Thomas Blankers; Kevin P Oh; Aureliano Bombarely; Kerry L Shaw
Journal:  Genetics       Date:  2018-06-06       Impact factor: 4.562

8.  The genomic signature of parallel adaptation from shared genetic variation.

Authors:  Marius Roesti; Sergey Gavrilets; Andrew P Hendry; Walter Salzburger; Daniel Berner
Journal:  Mol Ecol       Date:  2014-04-05       Impact factor: 6.185

9.  Expression quantitative trait locus mapping across water availability environments reveals contrasting associations with genomic features in Arabidopsis.

Authors:  David B Lowry; Tierney L Logan; Luca Santuari; Christian S Hardtke; James H Richards; Leah J DeRose-Wilson; John K McKay; Saunak Sen; Thomas E Juenger
Journal:  Plant Cell       Date:  2013-09-17       Impact factor: 11.277

10.  Genotyping-by-sequencing in ecological and conservation genomics.

Authors:  Shawn R Narum; C Alex Buerkle; John W Davey; Michael R Miller; Paul A Hohenlohe
Journal:  Mol Ecol       Date:  2013-05-25       Impact factor: 6.185

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