首页> 中文期刊>淡水渔业 >鲫体重和体厚相关的EST-SSRs标记筛选及同源基因分析

鲫体重和体厚相关的EST-SSRs标记筛选及同源基因分析

     

摘要

300 EST-SSRs markers were selected to analyze the genomic DNA of 181 progenies from a normal Carassius auratus F2 family, and two growth traits ( body weight and body width) were conducted single marker regression analysis. 38 EST-SSRs markers were found to be closely related to growth traits, 26 of them were significantly associated with growth traits (P<0. 05) , the other 12 markers had a highly significant correlation with growth traits (P<0. 01) ; In these 38 markers, 27 markers were related with body weight, 25 markers were related with body width, and 14 markers were related with both body weight and width. Meanwhile, the genotypes of these correlative loci were determined. Furthermore, by using BLAST online in NCBI, the homology identity of these 38 EST-SSRs markers was determined. Results showed that, 10 markers had significant similarity with the sequences in GenBank ( E < e-20). JE594 was highly homologous (95%) to the gene encoding membrane-associated ring finger protein of Danio rerio; JE3165 was highly homologous (78% ) to the gene encoding muscleblind-like protein of D. rerio; JE6996 was highly correlated (98% ) with the gene encoding mitogen-activated protein kinase of D. rerio; JE4984 was highly correlated (84% ) with the gene encoding protein phosphatase 1 of D. rerio. These loci may be used for marker-assisted selection and genetic improvement.%利用300个EST-SSRs标记对普通二倍体鲫(Carassius auratus)自交F2代的181个个体进行基因型检测,并对其体重、体厚两种经济性状进行单标记回归分析.Permutation检验(10 000次)结果显示,38个标记与所检测的经济性状相关,其中26个标记达到显著性相关(P<0.05),12个标记达到极显著性相关(P<0.01).在38个相关标记中,有27个标记与体重相关,25个标记与体厚相关,14个标记与体重、体厚均相关.对同一标记的不同基因型之间进行多重比较,找到了与两种经济性状相关的基因型.将与性状相关的38个标记与斑马鱼(Danio rerio)基因组序列进行BLAST同源性比对,找到10条相似性高且功能已知的EST-SSRs序列(E<e-20).其中,JE594与斑马鱼膜结合环指蛋白基因march7相似性高达95%,JE3165与斑马鱼肌盲蛋白基因mbnl1的相似性达78%,JE6996与斑马鱼促蛋白激酶的基因mapk10的相似性高达98%,JE4984与斑马鱼蛋白磷酸酶的基因ppp1cab相似性达84%.本研究筛选出了与鲫体重、体厚相关的EST-SSRs标记及基因型并找到了与鲫生长相关的候选功能基因,为鲫的分子标记辅助育种(MAS)及目标性状的遗传改良提供依据.

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号