Qu Yanying, Mu Ping, Zhang Hongliang, Chen Charles Y, Gao Yongming, Tian Yuxiu, Wen Feng, Li Zichao
Key Lab of Crop Genomics and Genetic Improvement of Ministry of Agriculture and Beijing Key Lab of Crop Genetic Improvement, China Agricultural University, Beijing, 100094, China.
Genetica. 2008 Jun;133(2):187-200. doi: 10.1007/s10709-007-9199-5. Epub 2007 Sep 7.
Roots are a vital organ for absorbing soil moisture and nutrients and influence drought resistance. The identification of quantitative trait loci (QTLs) with molecular markers may allow the estimation of parameters of genetic architecture and improve root traits by molecular marker-assisted selection (MAS). A mapping population of 120 recombinant inbred lines (RILs) derived from a cross between japonica upland rice 'IRAT109' and paddy rice 'Yuefu' was used for mapping QTLs of developmental root traits. All plant material was grown in PVC-pipe. Basal root thickness (BRT), root number (RN), maximum root length (MRL), root fresh weight (RFW), root dry weight (RDW) and root volume (RV) were phenotyped at the seedling (I), tillering (II), heading (III), grain filling (IV) and mature (V) stages, respectively. Phenotypic correlations showed that BRT was positively correlated to MRL at the majority of stages, but not correlated with RN. MRL was not correlated to RN except at the seedling stage. BRT, MRL and RN were positively correlated to RFW, RDW and RV at all growth stages. QTL analysis was performed using QTLMapper 1.6 to partition the genetic components into additive-effect QTLs, epistatic QTLs and QTL-by-year interactions (Q x E) effect. The results indicated that the additive effects played a major role for BRT, RN and MRL, while for RFW, RDW and RV the epistatic effects showed an important action and Q x E effect also played important roles in controlling root traits. A total of 84 additive-effect QTLs and 86 pairs of epistatic QTLs were detected for the six root traits at five stages. Only 12 additive QTLs were expressed in at least two stages. This indicated that the majority of QTLs were developmental stage specific. Two main effect QTLs, brt9a and brt9b, were detected at the heading stage and explained 19% and 10% of the total phenotypic variation in BRT without any influence from the environment. These QTLs can be used in breeding programs for improving root traits.
根系是吸收土壤水分和养分的重要器官,影响着抗旱性。利用分子标记鉴定数量性状位点(QTL),可以估计遗传结构参数,并通过分子标记辅助选择(MAS)改良根系性状。以粳型旱稻‘IRAT109’与水稻‘越富’杂交衍生的120个重组自交系(RIL)构建的作图群体,用于定位根系发育性状的QTL。所有植株材料种植于PVC管中。分别在幼苗期(I)、分蘖期(II)、抽穗期(III)、灌浆期(IV)和成熟期(V)对基部根粗(BRT)、根数(RN)、最大根长(MRL)、根鲜重(RFW)、根干重(RDW)和根体积(RV)进行表型测定。表型相关性分析表明,在大多数生育期BRT与MRL呈正相关,但与RN不相关。除幼苗期外,MRL与RN不相关。在所有生长阶段,BRT、MRL和RN与RFW、RDW和RV均呈正相关。使用QTLMapper 1.6进行QTL分析,将遗传成分划分为加性效应QTL、上位性QTL和QTL与年份互作(Q×E)效应。结果表明,加性效应在BRT、RN和MRL中起主要作用,而对于RFW、RDW和RV,上位性效应起重要作用,Q×E效应在控制根系性状中也起重要作用。在五个生育期对六个根系性状共检测到84个加性效应QTL和86对上位性QTL。只有12个加性QTL在至少两个生育期表达。这表明大多数QTL具有发育阶段特异性。在抽穗期检测到两个主效QTL,brt9a和brt9b,分别解释了BRT总表型变异的19%和10%,且不受环境影响。这些QTL可用于改良根系性状的育种计划。