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Comprehensive Functional Analyses of Expressed Sequence Tags in Common Wheat (Triticum aestivum)

机译:普通小麦(Triticum aestivum)表达序列标签的综合功能分析

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摘要

About 1 million expressed sequence tag (EST) sequences comprising 125.3 Mb nucleotides were accreted from 51 cDNA libraries constructed from a variety of tissues and organs under a range of conditions, including abiotic stresses and pathogen challenges in common wheat (Triticum aestivum). Expressed sequence tags were assembled with stringent parameters after processing with inbuild scripts, resulting in 37 138 contigs and 215 199 singlets. In the assembled sequences, 10.6% presented no matches with existing sequences in public databases. Functional characterization of wheat unigenes by gene ontology annotation, mining transcription factors, full-length cDNA, and miRNA targeting sites were carried out. A bioinformatics strategy was developed to discover single-nucleotide polymorphisms (SNPs) within our large EST resource and reported the SNPs between and within (homoeologous) cultivars. Digital gene expression was performed to find the tissue-specific gene expression, and correspondence analysis was executed to identify common and specific gene expression by selecting four biotic stress-related libraries. The assembly and associated information cater a framework for future investigation in functional genomics.
机译:在各种条件下,包括普通小麦(Triticum aestivum)的非生物胁迫和病原体挑战条件下,从各种组织和器官构建的51个cDNA文库中分泌出约100万个包含125.3 Mb核苷酸的表达序列标签(EST)序列。在使用内置脚本处理后,表达的序列标签与严格的参数组装在一起,从而产生了37138个重叠群和215199个单峰。在组装的序列中,10.6%表示与公共数据库中的现有序列不匹配。通过基因本体标注,挖掘转录因子,全长cDNA和miRNA靶向位点对小麦单基因进行功能表征。已开发出一种生物信息学策略来发现我们大量EST资源中的单核苷酸多态性(SNP),并报告(同源)品种之间和之内的SNP。进行数字基因表达以发现组织特异性基因表达,并通过选择四个生物应激相关文库进行对应分析以鉴定共同和特异性基因表达。集合和相关信息为将来进行功能基因组学研究提供了框架。

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