A region on chicken chromosome 2 affects both egg white thinning and 
egg weight

Honkatukia, Mervi; Tuiskula-Haavisto, Maria; Koning, Dirk-Jan de; Virta, Anneli; Mäki‐Tanila, Asko; Vilkki, Johanna

doi:10.1051/gse:2005016

Cited by 11 publications

(20 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Previous study indicated that QTL regions on chromosomes 2, 4 and 8 might influence egg white thinning 25. A recent study suggested that QTL region on chromosome 2 affects both egg white thinning and egg weight 26.…”

Section: Discussionmentioning

confidence: 99%

Proteomic analysis of egg white proteins during storage

et al. 2010

View full text Add to dashboard Cite

Egg storage causes egg white to lose its viscous nature to form a thin liquid, commonly referred to as egg white thinning. To understand the mechanisms underlying egg white thinning, white-shell eggs were used in the present study to determine the proteome-level changes of egg white proteins occurred during storage. Egg white thinning was observed visually after 20 days of storage at ambient temperature (22 ± 2 °C) when the maximum number of proteome-level changes occurred. The proteins that showed significant changes in abundance during storage included ovalbumin, clusterin, ovoinhibitor, ovotransferrin, and prostaglandin D2 synthase. Among these, only the abundance of clusterin was observed to change continuously during the storage period. Hence, it is expected that the increase in the concentrations of clusterin and ovoinhibitor along with the change of ovalbumin content during storage might contribute to egg white thinning. Degradation of ovalbumin/clusterin during egg storage may be due to the combined effect of proteolysis and increase in pH; this may also be partly responsible for egg white thinning phenomenon.

show abstract

Section: Discussionmentioning

confidence: 99%

Proteomic analysis of egg white proteins during storage

et al. 2010

View full text Add to dashboard Cite

show abstract

“…; Honkatukia et al . ; Schreiweis et al . ) identified, QTL were rarely replicated and had wide confidence intervals for position.…”

Section: Introductionmentioning

confidence: 99%

Genome‐wide association study for egg production and quality in layer chickens

Wolc

Arango

Jankowski³

et al. 2014

J Animal Breeding Genetics

View full text Add to dashboard Cite

Discovery of genes with large effects on economically important traits has for many years been of interest to breeders. The development of SNP panels which cover the whole genome with high density and, more importantly, that can be genotyped on large numbers of individuals at relatively low cost, has opened new opportunities for genome-wide association studies (GWAS). The objective of this study was to find genomic regions associated with egg production and quality traits in layers using analysis methods developed for the purpose of whole genome prediction. Genotypes on over 4500 birds and phenotypes on over 13,000 hens from eight generations of a brown egg layer line were used. Birds were genotyped with a custom 42K Illumina SNP chip. Recorded traits included two egg production and 11 egg quality traits (puncture score, albumen height, yolk weight and shell colour) at early and late stages of production, as well as body weight and age at first egg. Egg weight was previously analysed by Wolc et al. (2012). The Bayesian whole genome prediction model--BayesB (Meuwissen et al. 2001) was used to locate 1 Mb regions that were most strongly associated with each trait. The posterior probability of a 1 Mb window contributing to genetic variation was used as the criterion for suggesting the presence of a quantitative trait locus (QTL) in that window. Depending upon the trait, from 1 to 7 significant (posterior probability >0.9) 1 Mb regions were found. The largest QTL, a region explaining 32% of genetic variance, was found on chr4 at 78 Mb for body weight but had pleiotropic effects on other traits. For the other traits, the largest effects were much smaller, explaining <7% of genetic variance, with regions on chromosomes 2, 12 and 17 explaining above 5% of genetic variance for albumen height, shell colour and egg production, respectively. In total, 45 of 1043 1 Mb windows were estimated to have a non-zero effect with posterior probability > 0.9 for one or more traits.

show abstract

“…Most of these QTL have significant effects on these traits. For egg-related traits, approximately 50 QTL exercising the main effect have been reported, and no epistatic QTL have been discovered (Tuiskula-Haavisto et al 2002Kerje et al 2003;Wardecka et al 2003;Sasaki et al 2004;Hansen et al 2005;Honkatukia et al 2005;Schreiweis et al 2006;Wright et al 2006). For egg-related traits, approximately 50 QTL exercising the main effect have been reported, and no epistatic QTL have been discovered (Tuiskula-Haavisto et al 2002Kerje et al 2003;Wardecka et al 2003;Sasaki et al 2004;Hansen et al 2005;Honkatukia et al 2005;Schreiweis et al 2006;Wright et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Mapping quantitative trait loci for egg production traits in an F2 intercross of Oh-Shamo and White Leghorn chickens

et al. 2011

View full text Add to dashboard Cite

We performed quantitative trait locus (QTL) analyses for egg production traits, including age at first egg (AFE) and egg production rates (EPR) measured every 4 weeks from 22 to 62 weeks of hen age, in a population of 421 F(2) hens derived from an intercross between the Oh-Shamo (Japanese Large Game) and White Leghorn breeds of chickens. Simple interval mapping revealed a main-effect QTL for AFE on chromosome 1 and four main-effect QTL for EPR on chromosomes 1 and 11 (three on chromosome 1 and one on chromosome 11) at the genome-wide 5% levels. Among the three EPR QTL on chromosome 1, two were identified at the early stage of egg laying (26-34 weeks of hen age) and the remaining one was discovered at the late stage (54-58 weeks). The alleles at the two EPR QTL derived from the Oh-Shamo breed unexpectedly increased the trait values, irrespective of the Oh-Shamo being inferior to the White Leghorn in the trait. This suggests that the Oh-Shamo, one of the indigenous Japanese breeds, is an untapped resource that is important for further improvement of current elite commercial laying chickens. In addition, six epistatic QTL were identified on chromosomes 2, 4, 7, 8, 17 and 19, where none of the above main-effect QTL were located. This is the first example of detection of epistatic QTL affecting egg production traits. The main and epistatic QTL identified accounted for 4-8% of the phenotypic variance. The total contribution of all QTL detected for each trait to the phenotypic and genetic variances ranged from 4.1% to 16.9% and from 11.5% to 58.5%, respectively.

show abstract

A region on chicken chromosome 2 affects both egg white thinning and egg weight

Cited by 11 publications

References 9 publications

Proteomic analysis of egg white proteins during storage

Proteomic analysis of egg white proteins during storage

Genome‐wide association study for egg production and quality in layer chickens

Mapping quantitative trait loci for egg production traits in an F2 intercross of Oh-Shamo and White Leghorn chickens

Contact Info

Product

Resources

About