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Genome-wide association studies for feed intake and efficiency in two laying periods of chickens

Overview of attention for article published in Genetics Selection Evolution, October 2015
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Title
Genome-wide association studies for feed intake and efficiency in two laying periods of chickens
Published in
Genetics Selection Evolution, October 2015
DOI 10.1186/s12711-015-0161-1
Pubmed ID
Authors

Jingwei Yuan, Kehua Wang, Guoqiang Yi, Meng Ma, Taocun Dou, Congjiao Sun, Lu-Jiang Qu, Manman Shen, Liang Qu, Ning Yang

Abstract

Feed contributes to over 60 % of the total production costs in the poultry industry. Increasing feed costs prompt geneticists to include feed intake and efficiency as selection goals in breeding programs. In the present study, we used an F2 chicken population in a genome-wide association study (GWAS) to detect potential genetic variants and candidate genes associated with daily feed intake (FI) and feed efficiency, including residual feed intake (RFI) and feed conversion ratio (FCR). A total of 1534 F2 hens from a White Leghorn and Dongxiang reciprocal cross were phenotyped for feed intake and efficiency between 37 and 40 weeks (FI1, RFI1, and FCR1) and between 57 and 60 weeks (FI2, RFI2, and FCR2), and genotyped using the chicken 600 K single nucleotide polymorphism (SNP) genotyping array. Univariate, bivariate, and conditional genome-wide association studies (GWAS) were performed with GEMMA, a genome-wide efficient mixed model association algorithm. The statistical significance threshold for association was inferred by the simpleM method. We identified eight genomic regions that each contained at least one genetic variant that showed a significant association with FI. Genomic regions on Gallus gallus (GGA) chromosome 4 coincided with known quantitative trait loci (QTL) that affect feed intake of layers. Of particular interest, eight SNPs on GGA1 in the region between 169.23 and 171.55 Mb were consistently associated with FI in both univariate and bivariate GWAS, which explained 3.72 and 2.57 % of the phenotypic variance of FI1 and FI2, respectively. The CAB39L gene can be considered as a promising candidate for FI1. For RFI, a haplotype block on GGA27 harbored a significant SNP associated with RFI2. The major allele of rs315135692 was favorable for a lower RFI, with a phenotypic difference of 3.35 g/day between opposite homozygous genotypes. Strong signals on GGA1 were detected in the bivariate GWAS for FCR. The results demonstrated the polygenic nature of feed intake. GWAS identified novel variants and confirmed a QTL that was previously reported for feed intake in chickens. Genetic variants associated with feed efficiency may be used in genomic breeding programs to select more efficient layers.

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Mendeley readers

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The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 7 13%
Researcher 6 11%
Lecturer 3 5%
Other 10 18%
Unknown 12 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 44%
Veterinary Science and Veterinary Medicine 4 7%
Medicine and Dentistry 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Unspecified 1 2%
Other 2 4%
Unknown 17 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 March 2016.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Genetics Selection Evolution
#550
of 822 outputs
Outputs of similar age
#174,953
of 292,360 outputs
Outputs of similar age from Genetics Selection Evolution
#10
of 20 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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