Chen Mingsheng, Presting Gernot, Barbazuk W Brad, Goicoechea Jose Luis, Blackmon Barbara, Fang Guangchen, Kim Hyeran, Frisch David, Yu Yeisoo, Sun Shouhong, Higingbottom Stephanie, Phimphilai John, Phimphilai Dao, Thurmond Scheen, Gaudette Brian, Li Ping, Liu Jingdong, Hatfield Jamie, Main Dorrie, Farrar Kasey, Henderson Caroline, Barnett Laura, Costa Ravi, Williams Brian, Walser Suzanne, Atkins Michael, Hall Caroline, Budiman Muhammad A, Tomkins Jeffery P, Luo Meizhong, Bancroft Ian, Salse Jerome, Regad Farid, Mohapatra Trilochan, Singh Nagendra K, Tyagi Akhilesh K, Soderlund Carol, Dean Ralph A, Wing Rod A
Clemson University Genomics Institute, 100 Jordan Hall, Clemson, South Carolina 29634-5727, USA.
Plant Cell. 2002 Mar;14(3):537-45. doi: 10.1105/tpc.010485.
Rice was chosen as a model organism for genome sequencing because of its economic importance, small genome size, and syntenic relationship with other cereal species. We have constructed a bacterial artificial chromosome fingerprint-based physical map of the rice genome to facilitate the whole-genome sequencing of rice. Most of the rice genome ( approximately 90.6%) was anchored genetically by overgo hybridization, DNA gel blot hybridization, and in silico anchoring. Genome sequencing data also were integrated into the rice physical map. Comparison of the genetic and physical maps reveals that recombination is suppressed severely in centromeric regions as well as on the short arms of chromosomes 4 and 10. This integrated high-resolution physical map of the rice genome will greatly facilitate whole-genome sequencing by helping to identify a minimum tiling path of clones to sequence. Furthermore, the physical map will aid map-based cloning of agronomically important genes and will provide an important tool for the comparative analysis of grass genomes.
由于水稻具有经济重要性、基因组规模小以及与其他谷类物种的共线性关系,因此被选为基因组测序的模式生物。我们构建了基于细菌人工染色体指纹的水稻基因组物理图谱,以促进水稻的全基因组测序。通过重叠群杂交、DNA凝胶印迹杂交和电子定位,大部分水稻基因组(约90.6%)被进行了遗传定位。基因组测序数据也被整合到水稻物理图谱中。遗传图谱与物理图谱的比较表明,着丝粒区域以及第4和第10号染色体短臂上的重组受到严重抑制。这一整合的高分辨率水稻基因组物理图谱将通过帮助确定用于测序的克隆的最小拼接路径,极大地促进全基因组测序。此外,该物理图谱将有助于基于图谱克隆具有重要农艺性状的基因,并将为禾本科基因组的比较分析提供重要工具。