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水稻叶绿素含量的QTL及其与环境互作分析
引用本文:沈波,庄杰云,张克勤,戴伟民,鲁烨,傅丽卿,丁佳铭,郑康乐.水稻叶绿素含量的QTL及其与环境互作分析[J].中国农业科学,2005,38(10):1937-1943.
作者姓名:沈波  庄杰云  张克勤  戴伟民  鲁烨  傅丽卿  丁佳铭  郑康乐
作者单位:中国水稻研究所/国家水稻改良中心/水稻生物学国家重点实验室,中国水稻研究所/国家水稻改良中心/水稻生物学国家重点实验室,中国水稻研究所/国家水稻改良中心/水稻生物学国家重点实验室,中国水稻研究所/国家水稻改良中心/水稻生物学国家重点实验室,杭州师范学院生命科学学院,杭州师范学院生命科学学院,杭州师范学院生命科学学院,中国水稻研究所/国家水稻改良中心/水稻生物学国家重点实验室 杭州310006 杭州师范学院生命科学学院,杭州310012,杭州310006,杭州310006,杭州310006,杭州310012,杭州310012,杭州310012,杭州310006
基金项目:国家“863”计划项目(2003AA207030),浙江省重点项目(010007015),中国博士后科学基金项目(2003034232)
摘    要: 研究的主要目的是通过QTL分析对水稻叶片叶绿素含量进行遗传剖析。应用由247个株系组成的珍汕97B/密阳46重组自交系群体及其含207个分子标记的连锁图谱。分别在2002年和2003年考察亲本和重组自交系群体剑叶、倒二叶、倒三叶叶绿素a和b的含量,采用QTL Mapper 1.6统计软件进行QTL定位、上位性分析及其与环境的互作效应分析。在4个标记区间共检测到控制不同叶位叶绿素a、b含量的8个QTL,单个QTL的表型变异贡献率为1.96% 9.77%,其中2个QTL与环境之间存在显著互作;检测到9对影响叶绿素a、b含量的加性 加性上位性互作,其中1对具有显著的上位性 环境互作效应。与该群体产量性状QTL的研究结果相比较,发现每个产量性状都有QTL与控制叶绿素含量的QTL位于相同的染色体标记区间。

关 键 词:水稻  数量性状座位  叶绿素含量  产量性状  QTL与环境互作
收稿时间:2004-3-22
修稿时间:2004年8月22日

Analysis of Interaction Between QTL and Environment on Chlorophyll Contents in Rice
SHEN Bo,ZHUANG Jie-yun,ZHANG Ke-qin,DAI Wei-min,LU Ye,FU Li-qing,DING Jia-ming,ZHENG Kang-le.Analysis of Interaction Between QTL and Environment on Chlorophyll Contents in Rice[J].Scientia Agricultura Sinica,2005,38(10):1937-1943.
Authors:SHEN Bo    ZHUANG Jie-yun  ZHANG Ke-qin  DAI Wei-min  LU Ye  FU Li-qing  DING Jia-ming  ZHENG Kang-le
Institution:SHEN Bo1,2,ZHUANG Jie-yun1,ZHANG Ke-qin1,DAI Wei-min1,LU Ye2,FU Li-qing2,DING Jia-ming2,ZHENG Kang-le1
Abstract:The aim of the paper is to dissect the genetic factors controlling chlorophyll content of rice leaf by QTL analysis. A linkage map consisting of 207 DNA markers were constructed by using 247 recombinant inbred lines derived from an indica-indica rice cross Zhenshan 97B Milyang46. In 2002 and 2003, the chlorophyll a and b contents of the parents and 247 RILs were measured on the top first leaf, top second and top third leaves, respectively. The software QTLMapper 1.6 was applied to detect quantitative trait loci (QTLs), additive by environment interactions and epistatic by environment interactions. A total of 8 QTLs in 4 intervals were detected to have significant additive effects on chlorophyll a and b contents at different leaf positions with 1.96%- 9.77% phenotypic variations explained by a single QTL, and 2 QTLs with significant AE interactions were detected. Epistasis analysis detected 9 significant additive-by-additive interactions on chlorophyll a and b contents, and one pair of QTLs with significant AAE interactions was detected. On comparison with QTLs for yield traits detected in the same population, it was frequently found that QTLs for chlorophyll a and b contents and those for yield traits were located in same intervals.
Keywords:Rice  Quantitative trait loci  Chlorophyll content  Yield trait  QTL Environment interaction
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