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Construction and Evaluation of cDNA Libraries for Large-Scale Expressed Sequence Tag Sequencing in Wheat (Triticum aestivum L.)

机译:小麦(Triticum aestivum L.)大规模表达序列标签测序cDNA文库的构建和评价

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摘要

A total of 37 original cDNA libraries and 9 derivative libraries enriched for rare sequences were produced from Chinese Spring wheat (Triticum aestivum L.), five other hexaploid wheat genotypes (Cheyenne, Brevor, TAM W101, BH1146, Butte 86), tetraploid durum wheat (T. turgidum L.), diploid wheat (T. monococcum L.), and two other diploid members of the grass tribe Triticeae (Aegilops speltoides Tausch and Secale cereale L.). The emphasis in the choice of plant materials for library construction was reproductive development subjected to environmental factors that ultimately affect grain quality and yield, but roots and other tissues were also included. Partial cDNA expressed sequence tags (ESTs) were examined by various measures to assess the quality of these libraries. All ESTs were processed to remove cloning system sequences and contaminants and then assembled using CAP3. Following these processing steps, this assembly yielded 101,107 sequences derived from 89,043 clones, which defined 16,740 contigs and 33,213 singletons, a total of 49,953 “unigenes.” Analysis of the distribution of these unigenes among the libraries led to the conclusion that the enrichment methods were effective in reducing the most abundant unigenes and to the observation that the most diverse libraries were from tissues exposed to environmental stresses including heat, drought, salinity, or low temperature.
机译:从中国春小麦(Triticum aestivum L.),其他五种六倍体小麦基因型(Cheyenne,Brevor,TAM W101,BH1146,Butte 86),四倍体硬粒小麦中产生了总共37个原始cDNA文库和9个丰富了稀有序列的衍生文库。 (T. turgidum L.),二倍体小麦(T. monococcum L.)和草部落Triticeae(Aegilops speltoides Tausch和Secale graine L.)的其他两个二倍体成员。选择用于图书馆建设的植物材料的重点是受环境因素影响的生殖发育,这些因素最终会影响谷物的质量和产量,但也包括根和其他组织。通过各种措施检查了部分cDNA表达的序列标签(EST),以评估这些文库的质量。处理所有EST,以去除克隆系统序列和污染物,然后使用CAP3进行组装。按照这些处理步骤,此组装产生了89,043个克隆的101,107个序列,这些序列定义了16,740个重叠群和33,213个单子,共49,953个“单基因”。分析这些单基因在文库中的分布,得出的结论是,富集方法可有效减少最丰富的单基因,并观察到最多样化的文库来自暴露于环境压力(包括高温,干旱,盐碱或高温)的组织。低温。

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