Literature DB >> 15206609

Quantitative trait loci for body weight in layers differ from quantitative trait loci specific for antibody responses to sheep red blood cells.

M Siwek1, S J B Cornelissen, A J Buitenhuis, M G B Nieuwland, H Bovenhuis, R P M A Crooijmans, M A M Groenen, H K Parmentier, J J van der Poel.   

Abstract

Quantitative trait loci for BW at 4, 6, 8, 12, and 18 wk of age were detected in an experimental F2 cross of layers divergently selected for primary antibody response to SRBC. A negative phenotypic correlation between levels of antibody titers and BW, was reported earlier within founder lines. The entire experimental population was genotyped with 174 microsatellite markers equally distributed over the genome. Two genetic models were applied in the QTL analysis: a half-sib model and a line-cross model, both using the regression interval method. In the half-sib model, 3 QTL for BW at 4 wk of age on chromosomes GGA2, GGA3, and GGA9 were detected. For BW at 6 wk of age, 3 QTL were detected on GGA2, GGA3, and GGA6. For BW at 8 wk of age, a QTL was detected on GGA7, and for BW at 12 and 18 wk of age, a QTL was detected on GGAZ. With the line-cross analysis model, one QTL on GGA7 for BW at 4 wk of age was detected. Two QTL were detected on GGA3 and GGA7 for BW at 6 wk of age, and one on GGA3 was detected for BW for 8 and 12 wk of age. For BW at 18 wk of age, there were no QTL under the line-cross analysis model. The present data suggest that 1) a different set of genes affects the early and the late growth, and 2) genes selected to humoral immune responsiveness are different from genes underlying growth.

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Year:  2004        PMID: 15206609     DOI: 10.1093/ps/83.6.853

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  4 in total

1.  A quantitative trait locus for ascites on chromosome 9 in broiler chicken lines.

Authors:  Sriram Krishnamoorthy; Candace D Smith; Adnan A Al-Rubaye; Gisela F Erf; Robert F Wideman; Nicholas B Anthony; Douglas D Rhoads
Journal:  Poult Sci       Date:  2014-02       Impact factor: 3.352

2.  Genetic Analysis of a Commercial Egg Laying Line Challenged With Newcastle Disease Virus.

Authors:  Kaylee Rowland; Anna Wolc; Rodrigo A Gallardo; Terra Kelly; Huaijun Zhou; Jack C M Dekkers; Susan J Lamont
Journal:  Front Genet       Date:  2018-08-20       Impact factor: 4.599

3.  Mapping of Quantitative Trait Loci for Growth and Carcass-Related Traits in Chickens Using a Restriction-Site Associated DNA Sequencing Method.

Authors:  Takashi Ono; Ken Ohara; Akira Ishikawa; Tomomi Kouguchi; Atsushi J Nagano; Atsushi Takenouchi; Takeshi Igawa; Masaoki Tsudzuki
Journal:  J Poult Sci       Date:  2019-07-25       Impact factor: 1.425

4.  Genome-wide association studies of immune, disease and production traits in indigenous chicken ecotypes.

Authors:  Androniki Psifidi; Georgios Banos; Oswald Matika; Takele T Desta; Judy Bettridge; David A Hume; Tadelle Dessie; Rob Christley; Paul Wigley; Olivier Hanotte; Pete Kaiser
Journal:  Genet Sel Evol       Date:  2016-09-29       Impact factor: 4.297

  4 in total

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