Lazo G R, Chao S, Hummel D D, Edwards H, Crossman C C, Lui N, Matthews D E, Carollo V L, Hane D L, You F M, Butler G E, Miller R E, Close T J, Peng J H, Lapitan N L V, Gustafson J P, Qi L L, Echalier B, Gill B S, Dilbirligi M, Randhawa H S, Gill K S, Greene R A, Sorrells M E, Akhunov E D, Dvorák J, Linkiewicz A M, Dubcovsky J, Hossain K G, Kalavacharla V, Kianian S F, Mahmoud A A, Ma X-F, Conley E J, Anderson J A, Pathan M S, Nguyen H T, McGuire P E, Qualset C O, Anderson O D
U.S. Department of Agriculture-Agricultural Research Service (USDA-ARS), Western Regional Research Center, Albany, California 94710-1105, USA.
Genetics. 2004 Oct;168(2):585-93. doi: 10.1534/genetics.104.034777.
This report describes the rationale, approaches, organization, and resource development leading to a large-scale deletion bin map of the hexaploid (2n = 6x = 42) wheat genome (Triticum aestivum L.). Accompanying reports in this issue detail results from chromosome bin-mapping of expressed sequence tags (ESTs) representing genes onto the seven homoeologous chromosome groups and a global analysis of the entire mapped wheat EST data set. Among the resources developed were the first extensive public wheat EST collection (113,220 ESTs). Described are protocols for sequencing, sequence processing, EST nomenclature, and the assembly of ESTs into contigs. These contigs plus singletons (unassembled ESTs) were used for selection of distinct sequence motif unigenes. Selected ESTs were rearrayed, validated by 5' and 3' sequencing, and amplified for probing a series of wheat aneuploid and deletion stocks. Images and data for all Southern hybridizations were deposited in databases and were used by the coordinators for each of the seven homoeologous chromosome groups to validate the mapping results. Results from this project have established the foundation for future developments in wheat genomics.
本报告描述了构建六倍体（2n = 6x = 42）小麦（Triticum aestivum L.）基因组大规模缺失图谱的基本原理、方法、组织和资源开发情况。本期的相关报告详细介绍了将代表基因的表达序列标签（EST）定位到七个同源染色体组的染色体图谱绘制结果，以及对整个已定位小麦EST数据集的全面分析。在开发的资源中，有首个广泛的公共小麦EST文库（113,220个EST）。文中描述了测序、序列处理、EST命名以及将EST组装成重叠群的方案。这些重叠群加上单拷贝序列（未组装的EST）用于选择不同的序列基序单基因。对选定的EST进行重新排列，通过5'和3'测序进行验证，并进行扩增以探测一系列小麦非整倍体和缺失株系。所有Southern杂交的图像和数据都存入了数据库，七个同源染色体组的协调人员利用这些数据来验证图谱绘制结果。该项目的结果为小麦基因组学的未来发展奠定了基础。
