2016
DOI: 10.5194/aab-59-351-2016
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Exploration of the exonic variations of the iPSC-related <i>Nanog</i> gene and their effects on phenotypic traits in cattle

Abstract: Abstract. Nanog is an important pluripotent transcription regulator transforming somatic cells to induced pluripotent stem cells (iPSCs), and its overexpression leads to a high expression of the growth and differentiation factor 3 (GDF3), which affects animal growth traits. Therefore, the aim of this study was to explore the genetic variations within the Nanog gene and their effects on phenotypic traits in cattle. Six novel exonic single nucleotide polymorphisms (SNPs) were found in six cattle breeds. Seven ha… Show more

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Cited by 3 publications
(2 citation statements)
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References 29 publications
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“…It is very important to have great knowledge of the gene structure and function for regulation of growth and development. Recent studies have focused on genetic variations within the LHX3 gene in bovines and goats, among which a number of SNP sites were found which could impact growth and milk traits (Jing et al, 2008;Liu et al, 2011;Jin et al, 2016;Zhang et al, 2016). Herein, we firstly confirmed a novel 29 bp indel (NC_019460:g.3107494-3107522delGGCCTGGACTGTGATGGGCACCCTCCGGG) within the intron of the sheep LHX3 gene in four indigenous sheep breeds.…”
Section: Discussionmentioning
confidence: 64%
“…It is very important to have great knowledge of the gene structure and function for regulation of growth and development. Recent studies have focused on genetic variations within the LHX3 gene in bovines and goats, among which a number of SNP sites were found which could impact growth and milk traits (Jing et al, 2008;Liu et al, 2011;Jin et al, 2016;Zhang et al, 2016). Herein, we firstly confirmed a novel 29 bp indel (NC_019460:g.3107494-3107522delGGCCTGGACTGTGATGGGCACCCTCCGGG) within the intron of the sheep LHX3 gene in four indigenous sheep breeds.…”
Section: Discussionmentioning
confidence: 64%
“…The chi-square test between varieties and ANOVA in varieties was conducted using SPSS software (version 18.0; International Business Machines, US) The results were subjected to statistical testing (P < 0.05; Pan et al, 2013;Zhang et al, 2016).…”
Section: Statistical Analysesmentioning
confidence: 99%