摘要
本项目基于基因组学、功能基因组学、蛋白质组学和生物信息学等多学科交叉研究了棉花纤维品质发育的分子机制:利用辐射诱变、杂交、回交、系谱选择等技术培育、挖掘出优异纤维资源384份;利用徐州142棉纤维无长绒、无短绒突变体筛选出纤维伸长相关基因;用体外培养方法验证了乙烯、油菜素(BR)的生物合成途径及部分次生物质在纤维生长过程中的作用;构建了海岛棉品种Pi-ma90-53和陆地棉7235的BAC文库;利用蛋白质组学研究了棉纤维发育过程中的一些重要蛋白质的变化,构建了棉纤维细胞蛋白质表达谱;利用抑制扣除杂交方法、基因芯片技术或从纤维cDNA文库中筛选等共获得棉纤维发育相关基因199个,并用模式系统和棉花对基因的功能进行了分析和验证;建立了高效农杆菌介导、花粉管通道、基因枪轰击3种规模化的快速基因功能验证技术体系;开发了新标记,构建了陆海、陆陆高密度分子标记遗传连锁图谱,并选择有用分子标记和生化辅助育种相结合,初步建立了棉花纤维品质分子改良育种体系。
Molecular mechanisms of cotton fiber development were studied using genome,functional Genome,proteomics,bioinformatics approaches.The results showed that the excellent fiber resources were selected using radiate mutation,cross,backcross,genealogy selection approaches.Genes relating to cotton fiber elongation were cloned using xuzhou142 and the fl mutants.The functions of ethylene,BR and the part secondary metabolites were proved in cotton fiber elongation using cultured in vitro.BAC libraries of G.barbadense L.pima90-53 and G.hirsutum L.7235 were constructed.The changes of some proteins were studied using proteomics approaches and protein express maps were constructed in cotton fiber development.199 genes relating to cotton fiber development were selected by cDNA library,suppression subtractive hybridization(SSH)and Gene Chip Technology.These genes function were analyzed and proved by model system plant and cotton.Cotton large-scale transgenic technologic systems were constructed including agrobacterium tumefaciens,pollen tube pathway and particle bombardment to confirm genes functions quickly.exploiture of new molecule markers and molecular genetic map cross between G.hirsutum L.× G.barbadense L.,and G.hirsutum L.×G.hirsutum L.were constructed.Using useful molecule markers and biochemical assistance breeding technology built primarily cotton fiber molecule improvement breeding systems.
出处
《中国基础科学》
2007年第4期18-21,共4页
China Basic Science
基金
国家重点基础研究发展规划项目计划(2004CB117300)
关键词
棉花
纤维品质
功能基因组
分子改良
进展
cotton
fiber quality
functional genome
molecule improvement
advances
作者简介
喻树迅,中国农业科学院棉花研究所农业部棉花遗传改良重点实验室,E-mail:yu@cricaas.com.cn
