Related Experiment Video

Updated: Apr 19, 2026

Production of Apolipoprotein C-III Knockout Rabbits using Zinc Finger Nucleases

Production of Apolipoprotein C-III Knockout Rabbits using Zinc Finger Nucleases

Published on: November 18, 2013

Association analysis between variants in KITLG gene and litter size in goats

X P An¹, J X Hou¹, T Y Gao¹

¹College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, PR China.

|January 1, 2015

Abstract:

Xinong Saanen (SN) and Guanzhong (GZ) goat breeds were used to detect single nucleotide polymorphisms (SNPs) in the coding regions with their intron-exon boundaries and the proximal flanking regions of KITLG gene by DNA sequencing and genotyped by PCR-restriction fragment (PCR-RFLP). Four novel SNPs (g.12654G>A, g.12772G>A, g.12829T>C and g.23683C>T) were identified (GenBank accession No. KM609289). It was shown that Xinong Saanen and Guanzhong goat breeds were in Hardy-Weinberg disequilibrium at g.12654G>A, g.12772G>A and g.12829T>C loci (P<0.05). The g.12654G>A, g.12772G>A and g.12829T>C loci were closely linked in both goat breeds (r(2)>0.33). Results of an association analysis indicated that SNPs g.12654G>A, g.12772G>A and g.12829T>C had significant effects on litter size (P<0.05). The combined genotypes of four SNP loci also affected litter size with the C7(GG/GG/CC/CC) genotype in the SN goat breed and C1(AA/GG/CC/CC) and C7(GG/GG/CC/CC) genotypes in the GZ goat breed having the highest litter size. The biochemical and physiological functions, together with the results obtained in our investigation, suggest that C7(GG/GG/CC/CC) could be used in marker-assisted selection to select the individuals with higher litter size in both goat breeds. The results extend the spectrum of genetic variation of the caprine KITLG gene, which might contribute to goat genetic resources and breeding.

Keywords:

Combined genotype KITLG gene PCR-RFLP SNPs

More Related Videos

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

Related Concept Videos

Incomplete Dominance

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.

Epistasis Analysis

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...

Epistasis

Epistasis

In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

Articles linked to this work by shared authors, journal, and citation graph.

First Measurement of the Absolute Branching Fraction of η_{c}→γγ.

Physical review letters·2026

Study of the Reactions n[over ¯]p→2π^{+}π^{-}, 2π^{+}π^{-}π^{0}, and 2π^{+}π^{-}2π^{0} Using J/ψ→pπ^{-}n[over ¯].

Physical review letters·2026

Search for Sub-GeV Dark Particles in η→π^{0}+Invisible Decay.

Physical review letters·2026

Observation of Ξ(1530)^{0} Polarization and Determination of Its Electric and Magnetic Moments in ψ(3686)→Ξ(1530)^{0}Ξ[over ¯](1530)^{0}.

Physical review letters·2026

Test of CP Symmetry in the Neutral Decays of Λ via J/ψ→ΛΛ[over ¯].

Physical review letters·2026

Precise Measurement of the Chromoelectric Dipole Moment of the Charm Quark.

Physical review letters·2026

See all related articles