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QTL Identification Underlying Anthocyanin And Mineral Elements Content Related Traits In Rice

Posted on:2014-01-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y HuangFull Text:PDF
GTID:2233330398953798Subject:Crop Genetics and Breeding
Abstract/Summary:PDF Full Text Request
Functional material such as anthocyanins and mineral elements played an important role on humanhealth.Rice is the principal food for over fifty percent of the population of the world.Today,balanceincreasing functional material such as anthocyanins and mineral elements in rice seed have become animportant rice breeding aim.Breeding of the new rice variety that have excellent function traits withhigh yield and quality is very important for safety of rice food,prevent and treat diseases,improvinghealth and delaying aging. Strengthen the research on the genes controlling hith anthocyanins contentand high mineral element contents in rice seed,provide the theory basis for beeding of the new ricevariety that is rich in anthocyanins and mineral elements in seed with high yield and quality.This research is based on200F2:3lines,derived from a cross of “Hongxiang1/Song98-131”.Analysis the genetic variation and correlation of anthocyanins、Mn、Fe、Zn and Cu contents and proteincontents in rice seed,yield traits,and QTL mapping of them. The results are as follows:1.Anthocyanins、Mn、Fe、Zn and Cu contents,protein contents in rice seed,ear weight per plant,effective panicles,ear length,grain number per panicle,seed setting rate,1000grain weight,are showeda near normal unimodal continuous distributionin in F3lines,meet the quantitative trait geneticcharacteristics,suitale for QTL mapping.2.Anthocyanins and Cu、Mn contents in rice seed are showed highly significant positivecorrelation;anthocyanins contents and protein contents are showed highly significant positivecorrelation;anthocyanins contents and ear length are showed significant positive correlation,anthocyanins and1000grain weight are showed significant negative correlation.Cu contents andMn、Fe contents in rice seed are showed highly significant positive correlation,Mn and Zn contents inrice seed are showed significant negative correlation;Mn、Cu、Fe contents and protein contents in riceseed are showed significant or highly significant positive correlation,Zn contents and proteincontents in rice seed are showed highly significant negative correlation;Mn、Cu contents and earlength、grain number per panicle are showed significant or highly significant positive correlation,Fe contents in rice seed and ear weight per plant、effective panicles、seed setting rate are showedsignificant positive correlation,Zn contents and grain number per panicle are showed significantpositive correlations. Protein contents in rice seed and effective panicles、ear length、grain number perpanicle are showed highly significant positive correlation, Protein contents and seed setting rate areshowed highly significant negative correlation. Ear weight per plant and effective panicles、earlength、seed setting rate are showed significant or highly significant positive correlation,ear length and grain number per panicle are showed highly significant positive correlation.3. Constructed a genetic linkage map consists of96SSR markers use of composite intervalmapping,covering the whole rice genome1859.2cM,average distance of19.37cM.4.10QTL related to anthocyanins contents in rice seed are detected and located onchromosome1、2、3、4、5、12,contribution rate from4.41%to23.98%of the phenotypic variation.5.16QTL related to contents of Mn,Fe,Zn,Cu in grain are detected,2QTL control Mn contentare located on chromosome3、4,contribution rate from8.63%to21.31%of the phenotypicvariation;7QTL control Fe content are located on chromosome3、4、5、6、12, contribution ratefrom3.84%to20.45%of the phenotypic variation;2QTL control Zn content are located onchromosome8、12,contribution rate from7.81%to9.13%of the phenotypic variation;5QTLcontrol Cu content are located on chromosome3、4、7、8, contribution rate from5.79%to22.95%of the phenotypic variation.6.4QTL related to protein content in rice seed are detected,which located on chromosome3、9、12,contribution rate from5.13%to20.09%of observed phenotypic variation.7.41QTL related to yield traits.4QTL control ear weight per plant located on chromosome3、6、8、12,contribution rate from3.77%to28.27%of the phenotypic variation;8QTL controleffective panicles are located on chromosome1、2、3、6、8、12,contribution rate from4.23%to28.40%of the phenotypic variation;7QTL control ear length are located on chromosome2、3、7、8、11,contribution rate from6.49%to28.62%of the phenotypic variation;6QTL control grainnumber per panicle are located on chromosome3、7、8、12,contribution rate from5.62%to14.74%of the phenotypic variation;12QTL control seed setting rate are located on chromosome1、2、3、5、6、8、10、12,contribution rate from6.03%to22.30%of the phenotypic variation;4QTL control1000grain weight are located on chromosome1、3、9,contribution rate from8.80%to19.87%ofthe phenotypic variation. Above QTL fine mapping on the basis of the target trait,Chain SSRmarker-assisted provide the basis for molecular breeding for high yield and quality functional rice.
Keywords/Search Tags:Rice, Anthocyanins, Mineral elements, Protein, Grain yield traits, QTL mapping
PDF Full Text Request
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