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EST-based identification of genes expressed in perch (Perca fluviatilis, L.).

机译:基于EST的鲈鱼(Perca fluviatilis,L.)中表达的基因鉴定。

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Perch are promising species for freshwater aquaculture and, differently from other fish, have not yet been domesticated through artificial selection; therefore, they show a wide genetic variability that is undesirable for aquaculture. In addition to the more traditional methods of aquatic biotechnology, the most recently developed molecular biological techniques can augment the overall efficiency of aquaculture. To help these new molecular techniques find their place in the everyday management of fish farming, we should make an effort to reduce the gap in genomic resources that separates farming species from "model organisms." We performed single-pass sequencing on 1237 randomly selected clones from a perch liver cDNA expression library, 350 clones of a brain-minus-liver, and 639 clones of a liver-minus-brain subtraction library. The sequences were deposited in the NCBI Expressed Sequence Tags database (www.ncbi.nlm.nih.gov/projects/dbEST). In the three libraries we identified 108, 46, and 104 genes, respectively. EST cataloguing and profiling of perch will provide a basis for functional genomic research in this species, but will also promote studies in comparative and environmental genomics, for identifying polymorphic markers that are useful, for example, to survey the disease resistance of fish and for discovering of new molecular markers of exposure. Using these genomic resources, micro- and macroarrays can be produced that will give immediate and practical benefits in the field of aquaculture, allowing early diagnosis of the fish conditions and helping in the generation of new mechanistic data on the nature of fish responses to different farming conditions.
机译:鲈鱼是淡水养殖的有前途的物种,与其他鱼类不同,尚未通过人工选择进行驯化;因此,它们显示出广泛的遗传变异性,这是水产养殖不希望的。除了更传统的水生生物技术方法外,最新开发的分子生物学技术还可以提高水产养殖的整体效率。为了帮助这些新的分子技术在鱼类养殖的日常管理中找到自己的位置,我们应该努力缩小将养殖物种与“典型生物”区分开的基因组资源的差距。我们对鲈鱼肝脏cDNA表达文库中的1237个随机选择的克隆,350个脑-肝-肝脏和639个肝-脑-减法文库进行了单遍测序。序列存放在NCBI Expressed序列标签数据库(www.ncbi.nlm.nih.gov/projects/dbEST)中。在这三个文库中,我们分别鉴定了108、46和104个基因。 EST的鲈鱼分类和概况分析将为该物种的功能基因组研究提供基础,但也将促进比较基因组学和环境基因组学的研究,以鉴定可用于例如调查鱼类抗病性和发现鱼类的多态性标记暴露的新分子标记。利用这些基因组资源,可以产生微阵列和宏阵列,这些阵列将在水产养殖领域产生直接和实际的好处,可以对鱼类状况进行早期诊断,并有助于生成有关鱼类对不同养殖方式的反应性质的新机制数据条件。

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