Characterizing the Wheat Genome by Random Sample Sequencing

研究面包小麦Triticum aestivum，品种中国春的核DNA，以确定该多倍体物种大基因组中基因和其他序列的含量和分布。将随机选择220个小麦DNA大片段克隆到细菌人工染色体（BAC）载体中，进行DNA序列分析。序列分析将以低冗余度完成，以最大限度地提高单位成本产生的数据。这220个BACs也将通过一种新的聚合酶链反应（PCR）策略定位到小麦染色体图谱上，以便评估染色体位置与DNA序列含量之间的关系。高Cot分析和低甲基化部分限制性内切分析这两种已在玉米中得到证实的基因富集技术将在小麦中进行有效性试验。所有生成的序列将被分析基因和重复DNA的含量。大量的重复序列也将以其序列分化的程度和性质以及它们在小麦染色体上可能的差异分布为特征。这些实验和分析将确定小麦基因组的基本分子特征，为这种多倍体谷物序列进化的本质提供见解，并为未来小麦的基因组特征奠定基础。获取项目成果所有数据和分析将通过项目网站（可通过http://www.genetics.uga.edu/jlblab/index.html访问）和公共数据库提供，也可在同行评议的科学期刊上发表。

The nuclear DNA of bread wheat, Triticum aestivum, variety Chinese Spring, will be investigated to determine the content and distribution of genes and other sequences in the large genome of this polyploid species. A total of 220 large fragments of wheat DNA, cloned into a bacterial artificial chromosome (BAC) vector, will be randomly selected and subjected to DNA sequence analysis. The sequence analysis will be done at a low redundancy to maximize the data generated per unit cost. These 220 BACs will also be located to wheat chromosome maps by a novel polymerase chain reaction (PCR) strategy so that the relationship between chromosomal location and DNA sequence content can be assessed. Two gene enrichment techniques, High Cot analysis and Hypomethylated Partial Restriction analysis, that have been proven in maize will be tested for their efficacy in wheat. All generated sequences will be analyzed for gene and repetitive DNA content. Abundant repeats will also be characterized for their degree and nature of sequence divergence and their possible differential distribution across the wheat chromosomes. These experiments and analyses will determine the basic molecular characteristics of the wheat genome, provide insights into the nature of sequence evolution in this polyploid cereal, and lay the foundation for future genomic characterizations of wheat. Access to project outcomesAll data and analyses will be made available through a project website (accessible via http://www.genetics.uga.edu/jlblab/index.html) and public databases, and also through publication in peer-reviewed scientific journals.