为了解析水稻株型与生育期的遗传调控网络,本研究以籼稻镇恢832辐射后代中得到的一个基部叶角增大、生育期提前的突变体(basal leaves inclination and early flowering,blief)为试验材料,对其进行表型鉴定、遗传分析、基因定位和候选...为了解析水稻株型与生育期的遗传调控网络,本研究以籼稻镇恢832辐射后代中得到的一个基部叶角增大、生育期提前的突变体(basal leaves inclination and early flowering,blief)为试验材料,对其进行表型鉴定、遗传分析、基因定位和候选基因分析。结果表明,与野生型相比,blief突变体出芽速度更快,基部前6张叶片角度显著变大、后恢复正常,在不同环境条件下抽穗期显著提前,株高等部分主要农艺性状发生了显著变化。遗传分析结果表明,blief受一对隐性核基因控制,采用图位克隆技术将BLIEF基因精细定位于第3染色体短臂插入缺失(InDel)标记BL3-24和BL3-27之间,物理距离为51 kb,基因测序、功能标记检验和定量表达分析结果判断BLIEF为光敏色素OsPhyB的一个功能缺失的等位基因。实时荧光定量PCR(qRT-PCR)分析结果表明,blief中多个生育期、株型调控相关基因的表达水平发生了显著变化。本研究结果为水稻株型及生育期的调控遗传网络研究和早熟高产育种实践提供了新的遗传资源。展开更多
In this study, 34 molecular markers of starch synthesis-related genes were used to evaluate the genetic variation and population structure of 87 indica rice cultivars from different countries and regions. The results ...In this study, 34 molecular markers of starch synthesis-related genes were used to evaluate the genetic variation and population structure of 87 indica rice cultivars from different countries and regions. The results showed that a total of 80 alleles were amplified using 34 primer pairs, with an average of 2.5 alleles per locus. The allele number varied from 2 to 6 among various cultivars. Shannon＇s diversity index of molecular markers varied from 0.303 to 0.796, with an average of 0.539. Polymorphism information content （PIC） varied from 0.084 to 0.658, with an average of 0.295. The genetic similarity coefficients of 87 indica rice cultivars ranged from 0.265 to 0.990, indicating significant genetic differences of starch synthesis-related genes among different cultivars, but the variation frequency of alleles varied among different cultivars. Population structure analysis showed that these 87 indica rice cultivars were divided into three categories. Genetic differences were small within the same category but great among different categories. Moreover, indica rice cultivars with simple genetic components accounted for 39.1% and those with complex genetic background accounted for 60.9%. This study may not only provide theoretical basis for genetic improvement of rice starch quality, but also lay a solid foundation for subsequent association analysis of rice quality-related traits.展开更多
文摘为了解析水稻株型与生育期的遗传调控网络,本研究以籼稻镇恢832辐射后代中得到的一个基部叶角增大、生育期提前的突变体(basal leaves inclination and early flowering,blief)为试验材料,对其进行表型鉴定、遗传分析、基因定位和候选基因分析。结果表明,与野生型相比,blief突变体出芽速度更快,基部前6张叶片角度显著变大、后恢复正常,在不同环境条件下抽穗期显著提前,株高等部分主要农艺性状发生了显著变化。遗传分析结果表明,blief受一对隐性核基因控制,采用图位克隆技术将BLIEF基因精细定位于第3染色体短臂插入缺失(InDel)标记BL3-24和BL3-27之间,物理距离为51 kb,基因测序、功能标记检验和定量表达分析结果判断BLIEF为光敏色素OsPhyB的一个功能缺失的等位基因。实时荧光定量PCR(qRT-PCR)分析结果表明,blief中多个生育期、株型调控相关基因的表达水平发生了显著变化。本研究结果为水稻株型及生育期的调控遗传网络研究和早熟高产育种实践提供了新的遗传资源。
基金Supported by Agricultural Science and Technology Independent Innovation Fund of Jiangsu Province[CX(14)5107]Science and Technology Support Program of Jiangsu Province(BE2015355)Special Fund for Construction of Modern Agricultural Industry Technology System(CARS-01-47)~~
文摘In this study, 34 molecular markers of starch synthesis-related genes were used to evaluate the genetic variation and population structure of 87 indica rice cultivars from different countries and regions. The results showed that a total of 80 alleles were amplified using 34 primer pairs, with an average of 2.5 alleles per locus. The allele number varied from 2 to 6 among various cultivars. Shannon＇s diversity index of molecular markers varied from 0.303 to 0.796, with an average of 0.539. Polymorphism information content （PIC） varied from 0.084 to 0.658, with an average of 0.295. The genetic similarity coefficients of 87 indica rice cultivars ranged from 0.265 to 0.990, indicating significant genetic differences of starch synthesis-related genes among different cultivars, but the variation frequency of alleles varied among different cultivars. Population structure analysis showed that these 87 indica rice cultivars were divided into three categories. Genetic differences were small within the same category but great among different categories. Moreover, indica rice cultivars with simple genetic components accounted for 39.1% and those with complex genetic background accounted for 60.9%. This study may not only provide theoretical basis for genetic improvement of rice starch quality, but also lay a solid foundation for subsequent association analysis of rice quality-related traits.
