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鸡胚NANOGPOUVTWIST2基因不同发育阶段表达谱分析
邢晋祎, 张宁波
0
(临沂大学 生命科学学院, 山东 临沂 276005)
摘要:
为了解析鸡胚发育过程中NANOGPOUVTWIST2基因的调控作用, 利用荧光定量 RT-PCR方法, 研究NANOGPOUVTWIST2基因在孵化1~6 d(E1~E6)的整体胚胎和孵化15和18 d(E15、E18)鸡胚的大脑、心脏、肝脏和左侧大腿肌肉组织中的表达谱。结果表明, 1)NANOG基因的表达水平在E2~E6整胚和E15、E18胚期的大脑、心脏、肝脏和腿肌中的表达水平均极显著低于E1时期(P<0.01)。2)在鸡胚发育的整胚E1~E6和E15、E18时期的大脑、肝脏、心脏和腿肌中, POUV基因的表达水平基本呈现逐渐降低趋势, 且从E3时期后均显著低于E1时期(P<0.05或P<0.01)。3)TWIST2基因在E1~E6整胚中的表达水平呈现逐渐增高趋势, 到E6达到最高水平(P<0.05或P<0.01);在E15和E18时期的上述4种组织中又呈现降低趋势, 但均高于E1时期。NANOGPOUVTWIST2基因在鸡胚发育过程的调控水平存在差异, 研究结果可望为鸡的育种和临床研究提供资料。
关键词:  鸡胚  NANOG基因  POUV基因  TWIST2基因  基因表达谱
DOI:10.11841/j.issn.1007-4333.2014.06.21
投稿时间:2014-02-10
基金项目:国家自然科学基金资助项目(31372333);山东省自然科学基金资助项目(ZR2013CL012);山东省优秀中青年科学家科研奖励基金(BS2012NY001);临沂大学博士启动基金(BS08019)
Analysis of NANOG, POUV and TWIST2 gene expression patterns during chicken embryonic development
XING Jin-yi, ZHANG Ning-bo
(College of Life Science, Linyi University, Linyi 276005, China)
Abstract:
In order to analyze the regulation effect of NANOG, POUV and TWIST2 genes, their expression patterns in chicken whole embryo (E1-E6) and in brain, heart, liver and muscle during chicken embryonic development (E15 and E18) were studied by real time RT-PCR.The results showed that, firstly, the NANOG expression levels for whole E2-E6 and in brain, heart, liver and muscle of E15 and E18 were significantly lower than those of E1 (P<0.01).Secondly, overall, the POUV gene expression patterns gradually reduced from whole E1 to E6 and in brain, liver, heart and muscle of E15 and E18, and their expression levels except E2 were lower than those of E1 (P<0.05 or P<0.01).Finally, for whole E1-E6, the TWIST2 expression levels gradually increased, and peaked at E6 (P<0.05 or P<0.01), and then reduced in brain, liver, heart and muscle of E15 and E18, but they all exceeded those of E1.NANOG, POUV and TWIST2 expression levels showed differences during chicken embryonic development.These results may provide data for chicken breeding and clinical research.
Key words:  chicken embryo  NANOG gene  POUV gene  TWIST2 gene  gene expression patterns