Characterizing the Wheat Genome by Random Sample Sequencing

本研究以中国春小麦为材料，通过对小麦核DNA的分析，确定了多倍体小麦大基因组中基因和其它序列的含量和分布。 随机选择共220个克隆到细菌人工染色体（BAC）载体中的小麦DNA大片段，并进行DNA序列分析。 序列分析将在低冗余下进行，以最大限度地提高每单位成本生成的数据。 这220个BAC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，从而可以评估染色体位置和DNA序列含量之间的关系。 两种基因富集技术，高Cot分析和低甲基化部分限制性分析，已被证明在玉米中，将测试其在小麦中的有效性。 将分析所有生成的序列的基因和重复DNA含量。 丰富的重复序列也将被表征为它们的序列分歧的程度和性质以及它们在小麦染色体上可能的差异分布。 这些实验和分析将确定小麦基因组的基本分子特征，为了解这种多倍体谷物的序列进化性质提供见解，并为未来小麦的基因组特征奠定基础。 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查阅）和公共数据库以及通过在同行评审的科学期刊上发表的方式提供。

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.