A method and system for comparing QTLs between different crop segregation populations

A crop and population technology, applied in the field of bioinformatics, can solve the problems of cumbersome, repetitive, frequent operating system switching, etc.

Active Publication Date: 2020-12-08
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
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Problems solved by technology

[0010] The invention solves the difficulty, time-consuming and cumbersome acquisition of PCR-type marker primer sequences in the process of QTL comparison between different isolated populations in the prior art; the naming of genetic markers is not strictly unified, resulting in the need for further confirmation through primer sequences; and manual Complete many technical problems that are repetitive, confusing, and require frequent switching of operating systems, and provide a method and system for QTL comparison between different segregation groups of crops

Method used

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  • A method and system for comparing QTLs between different crop segregation populations
  • A method and system for comparing QTLs between different crop segregation populations

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Embodiment Construction

[0037] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0038] figure 1 It is a flowchart of oil content QTL comparison among different isolated populations of Brassica napus in the present invention. The method for oil content QTL comparison between different isolated populations of the present invention comprises the following steps:

[0039] (1) Construction of a genetic marker database

[0040] Collect the reported DNA hybridization (such as R...

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Abstract

The invention provides a method and system for comparing QTL between different isolated populations of crops and belongs to the field of bioinformatics. The method comprises steps of constructing a genetic marker database, constructing a query target, matching molecular marker sequences, performing genome location for the matched molecular marker sequences, determining a genome region corresponding to the target trait QTL after eliminating the false positive result and finally realizing comparison of target trait QTL among different populations. The method is advantaged in that the genetic marker database is constructed, genome position information acquisition can be rapidly completed, and markers at the genome position can be automatically screened.

Description

technical field [0001] The invention belongs to the field of bioinformatics, and in particular relates to a method and system for QTL comparison among different isolated populations. Background technique [0002] In rapeseed genetics and breeding research, most agronomic traits are quantitative trait loci (QTL), which are controlled by many genes and are easily affected by the environment. The method of QTL mapping based on high-density genetic linkage mapping is the most classic and reliable method to analyze the control loci (genes) of quantitative traits for map-based cloning and molecular-assisted selection (MAS). In the past two decades, researchers have used various molecular markers (mainly PCR-based AFLP, SSR and STS, etc., and in recent years, single nucleotide polymorphisms (SNP markers) to construct genetic linkage maps. and QTL mapping analysis. Before rapeseed 6K and 60K SNP chips are widely used, when different researchers use different populations for QTL ma...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16B20/00G16B50/00
Inventor 栗茂腾蒲实朝红波孙雨贝赵卫国付春华张礼斌
Owner HUAZHONG UNIV OF SCI & TECH
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