Literature DB >> 19888292

Extensive linkage disequilibrium in a wild bird population.

M H Li1, J Merilä.   

Abstract

Knowledge about the extent and patterns of linkage disequilibrium (LD) can provide important insights into demographic processes and strategies to identify the genetic basis of complex phenotypes in wild populations. However, data on the extent and patterns of LD from non-model vertebrate species from the wild are still scarce. We conducted so far the most extensive and detailed examination of LD in a pedigreed wild bird population using genotypes from 97 autosomal and 6 gonosomal microsatellites and a recently established linkage map of Siberian jays (Perisoreus infaustus). Analysis of syntenic marker pairs showed high levels of LD that extended over tens of centimorgans or several megabases and generally decayed as an increasing function of intermarker distance. In addition, significant LD was also very common between nonsyntenic markers. Patterns of LD varied across different linkage groups possibly because of the differences in chromosomal structure (macro-, micro-, and Z-chromosome). In particular, the level of LD was significantly lower on the Z-chromosome than on the autosomes at comparable genetic distances. In general, the high levels and extent of LD in this population are likely owing to its relatively small size, significant intrapopulation genetic structure, and occurrence of inbreeding. Whatever the cause, the long-range LD between syntenic loci suggests that LD mapping of phenotypic traits in this population using low-density markers maps is feasible. However, the frequent occurrence of LD between nonsyntenic markers suggests that the combined use of linkage and LD methods is needed to reduce the likelihood of false-positive associations between marker loci and traits of ecological and evolutionary interest.

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Year:  2009        PMID: 19888292     DOI: 10.1038/hdy.2009.150

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


  14 in total

1.  The singing genome.

Authors:  H Ellegren
Journal:  Heredity (Edinb)       Date:  2010-09-08       Impact factor: 3.821

2.  Estimating linkage disequilibria.

Authors:  N H Barton
Journal:  Heredity (Edinb)       Date:  2010-05-26       Impact factor: 3.821

3.  A genome-wide scan study identifies a single nucleotide substitution in ASIP associated with white versus non-white coat-colour variation in sheep (Ovis aries).

Authors:  M-H Li; T Tiirikka; J Kantanen
Journal:  Heredity (Edinb)       Date:  2013-09-11       Impact factor: 3.821

4.  An extensive candidate gene approach to speciation: diversity, divergence and linkage disequilibrium in candidate pigmentation genes across the European crow hybrid zone.

Authors:  J W Poelstra; H Ellegren; J B W Wolf
Journal:  Heredity (Edinb)       Date:  2013-07-24       Impact factor: 3.821

5.  Patterns of cyto-nuclear linkage disequilibrium in Silene latifolia: genomic heterogeneity and temporal stability.

Authors:  P D Fields; D E McCauley; E V McAssey; D R Taylor
Journal:  Heredity (Edinb)       Date:  2013-09-04       Impact factor: 3.821

6.  Pronounced inter- and intrachromosomal variation in linkage disequilibrium across the zebra finch genome.

Authors:  Jessica Stapley; Tim R Birkhead; Terry Burke; Jon Slate
Journal:  Genome Res       Date:  2010-03-31       Impact factor: 9.043

7.  Breaking RAD: an evaluation of the utility of restriction site-associated DNA sequencing for genome scans of adaptation.

Authors:  David B Lowry; Sean Hoban; Joanna L Kelley; Katie E Lotterhos; Laura K Reed; Michael F Antolin; Andrew Storfer
Journal:  Mol Ecol Resour       Date:  2016-12-16       Impact factor: 7.090

8.  A microsatellite-based analysis for the detection of selection on BTA1 and BTA20 in northern Eurasian cattle (Bos taurus) populations.

Authors:  Meng-Hua Li; Terhi Iso-Touru; Hannele Laurén; Juha Kantanen
Journal:  Genet Sel Evol       Date:  2010-08-06       Impact factor: 4.297

9.  Sex-specific population structure, natural selection, and linkage disequilibrium in a wild bird population as revealed by genome-wide microsatellite analyses.

Authors:  Meng-Hua Li; Juha Merilä
Journal:  BMC Evol Biol       Date:  2010-03-08       Impact factor: 3.260

10.  Association mapping of genetic risk factors for chronic wasting disease in wild deer.

Authors:  Tomomi Matsumoto; Michael D Samuel; Trent Bollinger; Margo Pybus; David W Coltman
Journal:  Evol Appl       Date:  2012-08-30       Impact factor: 5.183

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