| 摘要: |
| 采用分群分离分析法, 以同一批受精卵孵化的同池养殖大菱鲆生长性状发生分离的群体为材料, 进行微卫星DNA 遗传分析, 以揭示影响大菱鲆生长发育速度方面的遗传信息。30 个多态性微卫星位点对生长高值组(F 组)和生长低值组(S 组)各10 个样本建立的DNA 混合池进行扩增时, 在两池间出现了7 个差异片段。通过对两组大菱鲆个体PCR 扩增出的差异条带进行统计, 分析微卫星位点与大菱鲆生长性状的相关性。结果表明, 有1 个微卫星位点(SmaC10)在355bp 的等位基因片段与大菱鲆生长性状存在一定的负相关
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| 关键词: 微卫星标记, 大菱鲆, 生长性状, 分群分离分析法 |
| DOI：10.11693/hyhz200905009009 |
| 分类号: |
| 基金项目:国家支撑计划专题, 2006BAD01A12012 号; 农业公益性行业科研专项经费项目, nyhyzx07-046 号; 现代农业产业技术体系建设专项资金资助; 国家“863”计划资助, 2006AA10A404 号; 中国水产科学研究院黄海水产研究所基本科研业务费项目,2009-ts-11 号; “泰山学者”建设工程专项经费资助。 |
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| MICROSATELLITES MOLECULAR MARKERS AND THE CORRELATION TO GROWTH TRAIT OF SCOPHTHALMUS MAXIMUS |
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XU Ke1, MA Ai-Jun2, WANG Xin-An2, LEI Ji-Lin2, CHEN Song-Lin2, HOU Shi-Ying2, HUANG Zhi-Hui2
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1.Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai Ocean University;2.Key Laboratory for Sustainable Utilization of Marine Fisheries Resources, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences
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| Abstract: |
| Genetic variation of cultured stock of Scophthalmus maximus L. whose growth trait was segregated was studied with bulked segregant analysis. Two classes with mixed DNA template of 10 samples were analyzed in 30 polymorphic microsatellites loci. A total of 7 unique alleles for each class were found in all the loci. After PCR amplification on the individuals, differential bands were calculated and the correlation between growth trait and microsatellite loci was established. The results show that one locus is negatively correlated with growth trait significantly, while other four loci, positively related, among them SmaC09 is of extreme significance at 0.354 (P<0.01). This microsatellite and its differential band could be used as a molecular marker to selected stocks of good growth performance at molecular level for S. maximus.
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| Key words: Microsatellites molecular markers, Scophthalmus maximus L., Growth trait, Bulked segregant analysis |
