Literature DB >> 29573186

A high-density SNP chip for genotyping great tit (Parus major) populations and its application to studying the genetic architecture of exploration behaviour.

J-M Kim1,2, A W Santure1,3, H J Barton1, J L Quinn4, E F Cole5, M E Visser6, B C Sheldon5, M A M Groenen7, K van Oers6, J Slate1.   

Abstract

High-density SNP microarrays ("SNP chips") are a rapid, accurate and efficient method for genotyping several hundred thousand polymorphisms in large numbers of individuals. While SNP chips are routinely used in human genetics and in animal and plant breeding, they are less widely used in evolutionary and ecological research. In this article, we describe the development and application of a high-density Affymetrix Axiom chip with around 500,000 SNPs, designed to perform genomics studies of great tit (Parus major) populations. We demonstrate that the per-SNP genotype error rate is well below 1% and that the chip can also be used to identify structural or copy number variation. The chip is used to explore the genetic architecture of exploration behaviour (EB), a personality trait that has been widely studied in great tits and other species. No SNPs reached genomewide significance, including at DRD4, a candidate gene. However, EB is heritable and appears to have a polygenic architecture. Researchers developing similar SNP chips may note: (i) SNPs previously typed on alternative platforms are more likely to be converted to working assays; (ii) detecting SNPs by more than one pipeline, and in independent data sets, ensures a high proportion of working assays; (iii) allele frequency ascertainment bias is minimized by performing SNP discovery in individuals from multiple populations; and (iv) samples with the lowest call rates tend to also have the greatest genotyping error rates.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  Axiom; CNV; GWAS; exploration behaviour; personality

Mesh:

Year:  2018        PMID: 29573186     DOI: 10.1111/1755-0998.12778

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  9 in total

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2.  The methylation landscape and its role in domestication and gene regulation in the chicken.

Authors:  Andrey Höglund; Rie Henriksen; Jesper Fogelholm; Allison M Churcher; Carlos M Guerrero-Bosagna; Alvaro Martinez-Barrio; Martin Johnsson; Per Jensen; Dominic Wright
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Journal:  Ecol Evol       Date:  2020-06-08       Impact factor: 2.912

4.  The Genomic Complexity of a Large Inversion in Great Tits.

Authors:  Vinicius H da Silva; Veronika N Laine; Mirte Bosse; Lewis G Spurgin; Martijn F L Derks; Kees van Oers; Bert Dibbits; Jon Slate; Richard P M A Crooijmans; Marcel E Visser; Martien A M Groenen
Journal:  Genome Biol Evol       Date:  2019-07-01       Impact factor: 3.416

5.  Epigenetics of Animal Personality: DNA Methylation Cannot Explain the Heritability of Exploratory Behavior in a Songbird.

Authors:  Kees van Oers; Bernice Sepers; William Sies; Fleur Gawehns; Koen J F Verhoeven; Veronika N Laine
Journal:  Integr Comp Biol       Date:  2020-12-16       Impact factor: 3.326

6.  Continent-wide genomic signatures of adaptation to urbanisation in a songbird across Europe.

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Journal:  Nat Commun       Date:  2021-05-20       Impact factor: 14.919

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Journal:  Mol Ecol Resour       Date:  2021-09-06       Impact factor: 8.678

8.  An 85K SNP Array Uncovers Inbreeding and Cryptic Relatedness in an Antarctic Fur Seal Breeding Colony.

Authors:  Emily Humble; Anneke J Paijmans; Jaume Forcada; Joseph I Hoffman
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9.  A SNP assay for assessing diversity in immune genes in the honey bee (Apis mellifera L.).

Authors:  Dora Henriques; Ana R Lopes; Nor Chejanovsky; Anne Dalmon; Mariano Higes; Clara Jabal-Uriel; Yves Le Conte; Maritza Reyes-Carreño; Victoria Soroker; Raquel Martín-Hernández; M Alice Pinto
Journal:  Sci Rep       Date:  2021-07-28       Impact factor: 4.379

  9 in total

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