Major quantitative trait locus for controlling fiber fineness of ramie, method and application thereof

A technology of quantitative trait loci and fiber fineness, which is applied in the fields of biochemical equipment and methods, DNA preparation, and microbial determination/inspection, etc., can solve the problem of not obtaining the main QTL of ramie fiber fineness.

Inactive Publication Date: 2015-11-04
INST OF BAST FIBER CROPS CHINESE ACADEMY OF AGRI SCI
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However, no main effect QTL for

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  • Major quantitative trait locus for controlling fiber fineness of ramie, method and application thereof
  • Major quantitative trait locus for controlling fiber fineness of ramie, method and application thereof
  • Major quantitative trait locus for controlling fiber fineness of ramie, method and application thereof

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[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0032] The present invention utilizes the fiber fineness data of 104 core germplasm three-season hemp mixed samples in 2012, and combines the analysis results of kinship and population structure obtained by using 93 pairs of SSR primers to analyze the core germplasm, and combines the fiber fineness-related trait data with Association analysis of molecular polymorphism markers is carried out to find molecular markers that are closely linked to genes related to fiber fineness development, which can be used for follow-up research such as ramie molecular marker-assisted selection, design breeding, and related gene isolation, as well as the realization of genetic improvement of ramie fiber fineness Provide evidence.

[0033] The main effect quantitative trait locus controlling fib...

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Abstract

The invention discloses a major quantitative trait locus SSR marker RAM0298 for controlling fiber fineness of ramie, and also discloses a method for obtaining the major quantitative trait locus for controlling fiber fineness of ramie. The method comprises the following steps: 1, ramie SSR marker genetype is obtained; 2, the SSR marker genetype is analyzed, and a K matrix graph is calculated; 3, a Q-value matrix is generated by the utilization of the SSR marker genetype; 4, by using the K matrix graph and the Q-value matrix as covariance, molecular marker data and fiber fineness quantitative character data are tested, and P and R2 data are output; 5, by using a PCA matrix and the K matrix graph as covariance, the molecular marker data and fiber fineness quantitative character data are tested, and P and R2 data are output; and 6, a SSR locus with P being less than 0.01 and R2 being greater than 0.20 is selected so as to obtain a major quantitative trait gene for controlling fiber fineness of ramie. The invention also discloses an application of RAM0298 in ramie variety breeding and fiber fineness enhancement.

Description

technical field [0001] The invention relates to the main effect quantitative trait site RAM0298 for controlling fiber fineness in ramie, and the application of the main effect quantitative trait site SSR marker RAM0298 for ramie variety breeding and improvement of ramie fiber fineness. Background technique [0002] Association analysis is a research method based on natural variation populations and using the law of linkage disequilibrium to study the relationship between genetic variation and target traits (Mackay et al., 2007). Compared with traditional QTL, association analysis does not need to construct a mapping population, has a large breadth, high precision, and can detect multiple alleles at the same locus (Meuwissen et al., 2000; Khush et al., 2001). In 2001, Thornsberry et al. (2001) successfully applied association analysis to plants for the first time, and found that the dwarf8 gene was not only related to gibberellin metabolism, but also could affect the plant he...

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Application Information

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IPC IPC(8): C12N15/11C12N15/10C12Q1/68
Inventor 陈建华栾明宝刘晨晨王晓飞许英孙志民
Owner INST OF BAST FIBER CROPS CHINESE ACADEMY OF AGRI SCI
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