Abstract

BackgroundWe have performed Quantitative Trait Loci (QTL) analysis of an F2 intercross between two chicken lines divergently selected for juvenile body-weight. In a previous study 13 identified loci with effects on body-weight, only explained a small proportion of the large variation in the F2 population. Epistatic interaction analysis however, indicated that a network of interacting loci with large effect contributed to the difference in body-weight of the parental lines. This previous analysis was, however, based on a sparse microsatellite linkage map and the limited coverage could have affected the main conclusions. Here we present a revised QTL analysis based on a high-density linkage map that provided a more complete coverage of the chicken genome. Furthermore, we utilized genotype data from ~13,000 SNPs to search the genome for potential selective sweeps that have occurred in the selected lines.ResultsWe constructed a linkage map comprising 434 genetic markers, covering 31 chromosomes but leaving seven microchromosomes uncovered. The analysis showed that seven regions harbor QTL that influence growth. The pair-wise interaction analysis identified 15 unique QTL pairs and notable is that nine of those involved interactions with a locus on chromosome 7, forming a network of interacting loci. The analysis of ~13,000 SNPs showed that a substantial proportion of the genetic variation present in the founder population has been lost in either of the two selected lines since ~60% of the SNPs polymorphic among lines showed fixation in one of the lines. With the current marker coverage and QTL map resolution we did not observe clear signs of selective sweeps within QTL intervals.ConclusionThe results from the QTL analysis using the new improved linkage map are to a large extent in concordance with our previous analysis of this pedigree. The difference in body-weight between the parental chicken lines is caused by many QTL each with a small individual effect. Although the increased chromosomal marker coverage did not lead to the identification of additional QTL, we were able to refine the localization of QTL. The importance of epistatic interaction as a mechanism contributing significantly to the remarkable selection response was further strengthened because additional pairs of interacting loci were detected with the improved map.

Highlights

  • We have performed Quantitative Trait Loci (QTL) analysis of an F2 intercross between two chicken lines divergently selected for juvenile body-weight

  • A linkage map including 434 genetic markers We designed Illumina assays for parallel genotyping of 384 SNP markers segregating in the HWS/Low-Weight selected (LWS) intercross in order to establish a linkage map with an improved genome coverage compared to our previous microsatellite map

  • The eight-fold difference in body-weight at selection age between two divergently selected chicken lines is determined by many QTL each with a small individual effect

Read more

Summary

Introduction

We have performed Quantitative Trait Loci (QTL) analysis of an F2 intercross between two chicken lines divergently selected for juvenile body-weight. Epistatic interaction analysis indicated that a network of interacting loci with large effect contributed to the difference in body-weight of the parental lines This previous analysis was, based on a sparse microsatellite linkage map and the limited coverage could have affected the main conclusions. Despite a powerful experimental design (~850 F2) a previous QTL analysis could only explain about 13% of the residual phenotypic variation for body-weight at selection age in the F2 population and at most 50% of the difference between the parental lines [2] These results indicated that the phenotypic difference between the two chicken lines may be attributed to many QTL each with small individual effects in concordance with the infinitesimal model for polygenic inheritance. We identified 13 QTL (denoted Growth1 – Growth13) and at each locus the allele from the HWS line was associated with increased growth consistent with the line difference [2]

Methods
Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.