JavaScript is disabled for your browser. Some features of this site may not work without it.
Single nucleotide variant discovery of highly inbred Leghorn and Fayoumi chicken breeds using pooled whole genome resequencing data reveals insights into phenotype differences
Author: Fleming,D. S.; Koltes,J. E.; Fritz-Waters,E. R.; Rothschild,M. F.; Schmidt,C. J.; Ashwell,C. M.; Persia,M. E.; Reecy,J. M.; Lamont,S. J.
Department: University of Delaware, Department of Animal and Food Sciences
Publisher: Biomed Central Ltd
Date Issued: 10/19/16
Abstract: Background: Analyses of sequence variants of two distinct and highly inbred chicken lines allowed characterization of genomic variation that may be associated with phenotypic differences between breeds. These lines were the Leghorn, the major contributing breed to commercial white-egg production lines, and the Fayoumi, representative of an outbred indigenous and robust breed. Unique within-and between-line genetic diversity was used to define the genetic differences of the two breeds through the use of variant discovery and functional annotation. Results: Downstream fixation test (FST) analysis and subsequent gene ontology (GO) enrichment analysis elucidated major differences between the two lines. The genes with high FST values for both breeds were used to identify enriched gene ontology terms. Over-enriched GO annotations were uncovered for functions indicative of breed-related traits of pathogen resistance and reproductive ability for Fayoumi and Leghorn, respectively. Conclusions: Variant analysis elucidated GO functions indicative of breed-predominant phenotypes related to genomic variation in the lines, showing a possible link between the genetic variants and breed traits.
Fleming, D. S., Koltes, J. E., Fritz-Waters, E. R., Rothschild, M. F., Schmidt, C. J., Ashwell, C. M., Lamont, S. J. (2016). Single nucleotide variant discovery of highly inbred leghorn and fayoumi chicken breeds using pooled whole genome resequencing data reveals insights into phenotype differences. Bmc Genomics, 17, 812. doi:10.1186/s12864-016-3147-7