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作 者:凌飞[1,2] 张豪[1] 蔡更元[3] 陈瑶生[4] 李加琪[1] 王翀[1]
机构地区:[1]华南农业大学动物科学学院,广州510642 [2]华南理工大学生物科学与工程学院,广州510006 [3]广东省农业科学院畜牧研究所,广州510641 [4]中山大学生命科学学院/生物防治重点实验室,广州510006
出 处:《中国农业科学》2011年第8期1745-1752,共8页Scientia Agricultura Sinica
基 金:广东省自然科学基金(9251064201000005);广东省科技攻关项目(2008B020600009)
摘 要:【目的】鉴定影响猪重要经济性状的QTL。【方法】利用中国地方猪种蓝塘猪(16头母猪)与外来品种长白猪(8头公猪)建立了资源家系,对257头F2代个体的11个活体性状进行测定。根据美国肉畜中心(USDA-MARC 2.0)公布的猪连锁图谱,在1、4和8号染色体上大约每间隔10—20 cM选择一个微卫星标记,共21个标记,采用ABI 377 DNA序列分析仪进行微卫星基因分型,运用QTL Express软件包在http://latte.cap.ed.ac.uk网站在线分析,进行QTL定位分析。【结果】体高(body height,BodyHh)的QTL定位于SSC1的68 cM处,与标记SW2185(67.6cM)紧密联锁,达到染色体显著水平(P<0.05),解释表型变异的2.22%。体长(body length,BodyLh)的QTL定位于SSC4上的72cM处,位于标记SW839—SW0214,达到染色体显著水平(P<0.05)。【结论】在猪1和4号染色体上分别检测到一个影响体高和体长的QTL,为今后的QTL精细定位、大片段功能基因的克隆分析、以及猪分子育种技术的应用提供参考依据。【Objective】Pork is an important food source now representing forty-three percent of red meat consumed in the world and is a valuable resource economically in China.It is vital to identfy QTLs associated with economically important traits in pig.【Method】Sixteen Chinese indigenous Lantang sows were crossed with eight Landrace pig boars to construct the resource population.According to the pig linkage map of USDA-MARC2.0 and the distance between adjacent markers seleted about 10-20 cM intervals,twenty-one microsatellite DNA markers on pig chromosomes 1,4 and 8 were used for genotyping of the parents F1 and F2 with ABI 377 and then were analysed to map QTL in the web sit(http://latte.cap.ed.ac.uk) with QTL Express software package.The gene frequence was calculated.【Result】Two putative QTL containing a QTL for body height(BodyHh) and another QTL for body length(BodyLh) found at 68 cM on SSC1 and at 72cM on SSC4 both reached at least suggestive significance at the chromosome-wise(P0.05),respectively.The former closely linked to SW2185(67.6cM),explaining 2.22% of phenotypic variation and the latter was located in between SW839 and SW0214.【Conclusion】Two putative QTL including a body height QTL on SSC1 and a body length on SSC4 were identified.These results will facilitate fine mapping efforts to identify genes controlling live traits that can be incorporated into marker-assisted selection programs to accelerate genetic improvement in pig populations.
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