Scientia Agricultura Sinica ›› 2012, Vol. 45 ›› Issue (13): 2743-2750.doi: 10.3864/j.issn.0578-1752.2012.13.019

• ANIMAL SCIENCE·RESOURCE INSECT • Previous Articles     Next Articles

Cloning and Expression of Cellular Retinoic Acid Binding ProteinⅠGene in Inner Mongolian Cashmere Goats

 LI  Hua, SU  Li-Ning, LIU  Dong-Jun, LI  Xue-Feng, XU  Ri-Gan   

  1. 1.内蒙古大学生命科学院/哺乳动物生殖生物学及生物技术教育部重点实验室,呼和浩特 010021
    2.佛山科学技术学院,广东佛山 528231
    3.华南师范大学生命科学学院,广州 510000;4河北北方学院,河北张家口 075000
  • Received:2011-12-05 Online:2012-07-01 Published:2012-04-05

Abstract: 【Objective】The cDNA sequence of cellular retinoic acid binding protein I (CRABPⅠ) gene was cloned in Inner Mongolian cashmere goats, and the protein structure gene and expression were also analyzed. All these would establish a foundation for molecular mechanism of follicle and cashmere formation. 【Method】 The cDNA sequence of CRABP I gene was cloned by RT-PCR in Inner Mongolian cashmere goats. The protein structure was predicted through bioinformatics approach, the mRNA expression of the gene at four embryo ages in skin of cashmere goat were detected through real time PCR. 【Result】The length cDNA is 679 bp (JN936490) , its open reading frame (ORF) is 414 bp,which shares high similarity with other species. CRABPⅠprotein has no obvious signal peptide, transmembrane segments, N-glycosylation sites and O-glycosylation sites. The secondary structure of CRABPⅠprotein consisted of mainly β sheets, α helixes and loops, also few turn and coil. CRABPⅠ gene in cashmere goats was highly expressed on 90 d compared with on 100 d, 120 d and 130 d (P<0.05). 【Conclusion】The open reading frame (ORF) of CRABPⅠgene is conserved among different species, but it has characteristics at 33 and 123 amino sites in cashmere goats. The level of mRNA expression was the highest on 90 d at four embryo stages, the polymorphism of this gene in different breeds and its regulation mechanism to sebaceous gland of hair follicle needs to be studied further.

Key words: cashmere goats, CRABPⅠgene, clone, gene expression, bioinformatics

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