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Dynamic QTL Mapping of Soluble Solid Content and Related Traits in Tomato

Author: JiaJunZhong
Tutor: XueLin;WeiYiNong
School: Shihezi University
Course: Biochemistry and Molecular Biology
Keywords: Tomato Molecular markers Genetic linkage map Soluble solids Related traits QTL Mapping in dynamic
CLC: S641.2
Type: Master's thesis
Year: 2010
Downloads: 35
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Abstract


Objective: tomato soluble solids is a complex and important quantitative traits, is a nuclear genetic, is not affected by the cytoplasm to the additive effects. Using SSR markers to build tomato genetic linkage map and preliminary dynamic QTL mapping, and tomato soluble solids and related quality traits. Assisted breeding and quality trait map-based cloning to provide a theoretical basis for our tomato varieties mark. Methods: In this study, processing tomato TD22 and fresh tomato HT-1-1-1-1 hybrid by single seed descent the self 166 F2 plants consisting of groups of materials, the use of molecular markers SSR (simple repeat sequence, simple sequence repeats) the quantitative trait loci. The soluble solids content is a dynamic process of expression, in order to fully understand the genetic effect of the QTL, we should not only know their genetic role to a given point in time, but also to understand their dynamic expression. Function model, analysis of the soluble solids phenotypic value changes over time with the method of analysis of the dynamic model to detect the influence of the the dynamic trait change process master gene. In this study, three periods (mature green tomato fruit development period, the ripening period and red mature) dynamic QTL mapping. Results: 1. TD22 and HT-1-1-1-1 F2: 3 Department of Quality Traits analysis showed that the quality traits indicators are in line with the normal distribution, by multiple genes control, showing quantitative trait genetic characteristics. Quality characteristics exist correlation, soluble solids in green mature and soluble sugar was significantly positive related with the fruit weight was significantly and negatively related; ripening period and soluble sugars and organic acids was significantly positively correlated; soluble sugar and red mature and organic acids was significantly positively correlated with fruit weight was significantly negatively correlated. Stepwise linear regression analysis, linear regression model green ripe stage regression equation: Y = 4.727-0.002 X1 1.089 X2; the ripening of regression equation is: Y = 4.420 1.924X2 0.274X3; the red mature regression equation: Y = 5.592- 0.003 X1 0.9824 X2 0.294 X3. X1, X2, X3 represent the fruit weight, soluble sugar and organic acids. 2 500 of tomato SSR markers on the two parental screening primers, choose the 107 polymorphism and reproducible SSR primers. 107 loci genetic linkage analysis, the initial construction of a genetic linkage map, including five linkage groups, 88 mark, the length of the linkage group in between 19.082-118.178 cM, and the number of marks between 2-77, mark The average distance of 2.33 cM between a minimum distance of 0.09 cm, covering 214.36 cM. Use of composite interval mapping QTL genome scan, 2009 (green mature, ripening and red ripe stage) soluble solids of tomato fruit development and related traits QTL mapping: three periods are detected SSC 4,0 and 8 QTLs; detected on fruit weight 2, 3, and 2 QTL; detected on fruit shape index, 0, and 0 QTL; detected on soluble sugar 1,1 and 5 QTLs ; organic acids 0,1 and 1 QTL detected; does not detect the QTL VC. Conclusions: 1. Various periods SSC significantly related traits are different, soluble sugar is a major factor in the SSC; 5 2. Linkage groups in this study, the number of markers of linkage group 3 2. In the same linkage group, some genetic distance between the marks farther, up to 30 cm or more, close to the free exchange of value. Thus, the distribution of markers in the genome is more loosely The reasons for this are many; 3 in mature green and red ripe stage detection on soluble solids LEat006 and the Tomato TC162363 these two markers Description of tomato fruit development with tomato SSC quantitative trait loci have been expressed in the ripening period is not detected QTL may cause fewer markers covering the genome, only five linkage groups, but may appear in other linkage groups on Three periods detected QTL are dynamic, the quantitative trait gene expression is regulated by the constraints of time. Tomato TC162363 and LEat006, LEat006 mature green and red mature contribution rate has reached more than 10%, will give molecular marker-assisted breeding will provide some help.

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CLC: > Agricultural Sciences > Gardening > Vegetable gardening > Solanaceous > Tomatoes ( tomatoes )
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