Literature DB >> 16356285

Many QTLs with minor additive effects are associated with a large difference in growth between two selection lines in chickens.

Lina Jacobsson1, Hee-Bok Park, Per Wahlberg, Robert Fredriksson, Miguel Perez-Enciso, Paul B Siegel, Leif Andersson.   

Abstract

Two growth-selected lines in chickens have been developed from a single founder population by divergent selection for body weight at 56 days of age. After more than 40 generations of selection they show a nine-fold difference in body weight at selection age and large differences in growth rate, appetite, fat deposition and metabolic characteristics. We have generated a large intercross between these lines comprising more than 800 F2 birds. QTL mapping revealed 13 loci affecting growth. The most striking observation was that the allele in the high weight line in all cases was associated with enhanced growth, but each locus explained only a small proportion of the phenotypic variance using a standard QTL model (1.3-3.1%). This result is in sharp contrast to our previous study where we reported that the two-fold difference in adult body size between the red junglefowl and White Leghorn domestic chickens is explained by a small number of QTLs with large additive effects. Furthermore, no QTLs for anorexia or antibody response were detected despite large differences for these traits between the founder lines. The result is an excellent example where a large phenotypic difference between populations occurs in the apparent absence of any single locus with large phenotypic effects. The study underscores the need for powerful experimental designs in genetic studies of multifactorial traits. No QTL at all would have reached genome-wide significance using a less powerful design (e.g. approx. 200 F2 individuals) regardless of the nine-fold phenotypic difference between the founder lines for the selected trait.

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Year:  2005        PMID: 16356285     DOI: 10.1017/S0016672305007767

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  46 in total

1.  An improved method for quantitative trait loci detection and identification of within-line segregation in F2 intercross designs.

Authors:  Lars Rönnegård; Francois Besnier; Orjan Carlborg
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

2.  Prediction of individual genetic risk to disease from genome-wide association studies.

Authors:  Naomi R Wray; Michael E Goddard; Peter M Visscher
Journal:  Genome Res       Date:  2007-09-04       Impact factor: 9.043

3.  The melanocortin circuit in obese and lean strains of chicks.

Authors:  Gideon Hen; Sara Yosefi; Victoria Simchaev; Dmitry Shinder; Victor J Hruby; Miriam Friedman-Einat
Journal:  J Endocrinol       Date:  2006-08       Impact factor: 4.286

4.  A molecular genome scan to identify DNA segments associated with live weight in Japanese quail.

Authors:  M Iranmanesh; A Esmailizadeh; M R Mohammad Abadi; Elmira Zand; M S Mokhtari; Dong-Dong Wu
Journal:  Mol Biol Rep       Date:  2016-08-25       Impact factor: 2.316

5.  Differentially expressed genes in hypothalamus in relation to genomic regions under selection in two chicken lines resulting from divergent selection for high or low body weight.

Authors:  Sojeong Ka; Frank W Albert; D Michael Denbow; Svante Pääbo; Paul B Siegel; Leif Andersson; Finn Hallböök
Journal:  Neurogenetics       Date:  2011-07-12       Impact factor: 2.660

6.  Cloning of TPO gene and associations of polymorphisms with chicken growth and carcass traits.

Authors:  Xinyan Hou; Ruili Han; Yadong Tian; Wanying Xie; Guirong Sun; Guoxi Li; Ruirui Jiang; Xiangtao Kang
Journal:  Mol Biol Rep       Date:  2012-12-29       Impact factor: 2.316

7.  Genome-wide effects of long-term divergent selection.

Authors:  Anna M Johansson; Mats E Pettersson; Paul B Siegel; Orjan Carlborg
Journal:  PLoS Genet       Date:  2010-11-04       Impact factor: 5.917

8.  Dissection of the genetic architecture of body weight in chicken reveals the impact of epistasis on domestication traits.

Authors:  Arnaud Le Rouzic; José M Alvarez-Castro; Orjan Carlborg
Journal:  Genetics       Date:  2008-07-13       Impact factor: 4.562

9.  Detecting parent of origin and dominant QTL in a two-generation commercial poultry pedigree using variance component methodology.

Authors:  Suzanne J Rowe; Ricardo Pong-Wong; Christopher S Haley; Sara A Knott; Dirk-Jan De Koning
Journal:  Genet Sel Evol       Date:  2009-01-05       Impact factor: 4.297

10.  Proviral integrations and expression of endogenous avian leucosis virus during long term selection for high and low body weight in two chicken lines.

Authors:  Sojeong Ka; Susanne Kerje; Lina Bornold; Ulrika Liljegren; Paul B Siegel; Leif Andersson; Finn Hallböök
Journal:  Retrovirology       Date:  2009-07-15       Impact factor: 4.602

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