SNP molecular marker derived from single-boll weight major gene of Xinluzao 24

Abstract

The invention discloses a molecular marker closely linked with major QTL sites qBW-chr04-2, qBW-chr05-5, qBW-chr06-3, qBW-chr21-4 and qBW-chr24-1 of the single boll weight of upland cotton. Accordingto the method, a upland cotton intraspecific recombinant inbred line group constructed by hybridizing Shandong cotton research 28*Xinluozao 24 is utilized, and phenotypic evaluation and identificationare carried out on the cotton yield main constituent factor-the single boll weight of the recombinant inbred line group in a multi-year multi-point environment of a northwest inland cotton area and aYellow River basin cotton area. The genotyping and genetic linkage map construction are carried out on the population by utilizing a cotton SNP80K chip. The major sites influencing the single boll weight of cotton and SNP molecular markers closely linked with the sites are obtained through QTL positioning. In the cotton breeding process, the molecular markers are used for auxiliary selection, thesingle boll weight of a new upland cotton variety can be effectively improved in a targeted mode, and therefore the high-yield and high-quality breeding efficiency is improved.

Description

technical field [0001] The invention belongs to the field of biotechnology application, and relates to single boll weight main effect QTLs of upland cotton and linked SNP (Single Necleotide Polymorphism, single nucleotide polymorphism) molecular markers. Background technique [0002] Cotton is an important economic crop worldwide, and cotton fiber is an important raw material for the textile industry, which is widely planted in more than 80 countries (Jamshed et al., 2016). It is also the second most important source of edible oil and protein (Zhang et al., 2014b). Four cultivars (G. herbaceum, G. arboreum, G. hirsutum and G. barbadense) in the genus Gossypium are used for cotton fiber production (Li et al., 2014, 2015; Wendel et al., 2015; Zhang et al., 2015), among which tetraploid upland cotton (Gossypium G. hirsutum L) and sea island cotton (G. barbadense) are the main cultivated species. Although the fiber quality and disease resistance of upland cotton are average, i...

AI Technical Summary

Problems solved by technology

The main reasons are as follows: 1) Most of the QTLs mapped in the early stage are based on genetic maps with low saturation and coverage, and the QTL intervals mapped are large, which affects their application in marker-assisted selection

2) QTLs located irregularly cannot be detected across populations, that is, QTLs located in one population may not be detected in another population

This requires high labor costs, time costs and capital costs

Moreover, the yield traits of cotton are quantitative traits controlled by multiple genes, and their phenotypes are greatly affected by the environment, which will greatly affect the effect and efficiency of selection.

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