摘要
【目的】在大白猪群体中检测和分析猪生长和背膘厚性状候选基因(IGF2、MC4R、JHDM1A和TEF-1)的多态性,并进行多基因标记效应分析,为分子标记辅助选择在育种中的应用提供理论基础。【方法】采用PCR-RFLP方法对候选基因多态性进行检测,并运用SPSS软件对单基因标记和多基因标记与生长和背膘厚性状之间的关联性进行分析。【结果】在试验群体中检测了IGF2、MC4R、TEF-1和JHDM1A 4个基因的单核苷酸多态位点。单基因标记分析结果显示,IGF2基因与100 kg腰荐结合处背膘厚显著关联(P<0.05),AA型为优势基因型,分别比AG和GG基因型薄0.541 cm和0.629 cm;MC4R基因与生长和背膘厚性状无显著关联;JHDM1A基因与100 kg腰荐结合处背膘厚呈显著关联(P<0.05),CC型为优势基因型,分别比GG和GC基因型背膘薄0.520 cm和0.489 cm;TEF-1基因与100 kg腰荐结合处背膘厚趋于显著关联(0.05<P<0.1),GG基因型背膘厚分别比AA和AG基因型薄0.973 cm和0.379 cm;与达100 kg体重呈显著关联(P<0.05),AG为优势基因型,分别比AA和GG基因型缩短了0.445 d和2.258 d。【结论】对4个候选基因的多基因标记效应进行分析发现,多基因标记效应与单基因标记效应一致。IGF2、TEF-1和JHDM1A基因多态位点合并基因型AGCCGG和AACCGG对于100 kg腰荐结合处背膘厚性状为优势基因型组合,可以作为分子标记在育种中应用。
【Objective】The objective of this study is to detect and analyze the polymorphiams of the candidate genes(IGF2,MC4R,JHDM1A and TEF-1) with growth and backfat thickness traits in the Large White pigs population.【Method】The polymorphism of these genes was identified and detected by PCR-RFLP,the SPSS software was used to analyze the association signal gene marker and polygene markers with the growth and backfat thickness traits.【Result】The analysis of single gene marker indicated that the polymorphism of IGF2 was significantly associated with backfat at the loin(P0.05),the excellent genotype was AA which displayed thinner backfat thickness than AG(0.541 cm) and GG(0.629 cm) genotypes.The polymorphism of MC4R was not significantly associated with the analyzed traits.The polymorphisms of JHDM1A was associated with the 100 kg backfat at 100 kg(P0.05),TEF-1 suggestively significantly associated with backfat at the loin at 100 kg,and CC and GG were excellent genotypes,respectively.And TEF-1 was also associated with the age at 100 kg,and AG was the excellent genotype.【Conclusion】Analysis of the effect of polygene markers showed that the genetic effect consistent with the single gene marker.The combination genotypes AGCCGG and AACCGG of IGF2,TEF-1 and JHDM1A were excellent combination genotypes for 100 kg backfat at the loin and can be used as molecular markers of backfat thinkness.
出处
《中国农业科学》
CAS
CSCD
北大核心
2011年第8期1694-1701,共8页
Scientia Agricultura Sinica
基金
国家高技术研究发展计划(2007AA10Z168)