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利用 DArTseq 技术鉴定与玉米产量相关性状组成部分相关的新 SNP 和 SilicoDArT 标记。

The Use of DArTseq Technology to Identify New SNP and SilicoDArT Markers Related to the Yield-Related Traits Components in Maize.

机构信息

Department of Genetics and Plant Breeding, Poznan University of Life Sciences, Dojazd 11, 60-632 Poznan, Poland.

Poznan Plant Breeding Sp. z o. o., Kasztanowa 5, 63-004 Tulce, Poland.

出版信息

Genes (Basel). 2022 May 10;13(5):848. doi: 10.3390/genes13050848.

Abstract

In the last decade, many scientists have used molecular biology methods in their research to locate the grain-yield-determining loci and yield structure characteristics in maize. Large-scale molecular analyses in maize do not only focus on the identification of new markers and quantitative trait locus (QTL) regions. DNA analysis in the selection of parental components for heterotic crosses is a very important tool for breeders. The aim of this research was to identify and select new markers for maize (SNP and SilicoDArT) linked to genes influencing the size of the yield components in maize. The plant material used for the research was 186 inbred maize lines. The field experiment was established in twolocations. The yield and six yield components were analyzed. For identification of SNP and SilicoDArT markers related to the yield and yield components, next-generation sequencing was used. As a result of the biometric measurements analysis, differentiation in the average elevation of the analyzed traits for the lines in both locations was found. The above-mentioned results indicate the existence of genotype-environment interactions. The analysis of variance for the observed quality between genotypes indicated a statistically significant differentiation between genotypes and a statistically significant differentiation for all the observed properties betweenlocations. A canonical variable analysis was applied to present a multi-trait assessment of the similarity of the tested maize genotypes in a lower number of dimensions with the lowest possible loss of information. No grouping of lines due to the analyzed was observed. As a result of next-generation sequencing, the molecular markers SilicoDArT (53,031) and SNP (28,571) were obtained. The genetic distance between the analyzed lines was estimated on the basis of these markers. Out of 81,602 identified SilicoDArT and SNP markers, 15,409 (1559 SilicoDArT and 13,850 SNPs) significantly related to the analyzed yield components were selected as a result of association mapping. The greatest numbers of molecular markers were associated with cob length (1203), cob diameter (1759), core length (1201) and core diameter (2326). From 15,409 markers significantly related to the analyzed traits of the yield components, 18 DArT markers were selected, which were significant for the same four traits (cob length, cob diameter, core length, core diameter) in both Kobierzyce and Smolice. These markers were used for physical mapping. As a result of the analyses, it was found that 6 out of 18 (1818; 14,506; 2317; 3233; 11,657; 12,812) identified markers are located inside genes. These markers are located on chromosomes 8, 9, 7, 3, 5, and 1, respectively.

摘要

在过去的十年中,许多科学家在研究中使用分子生物学方法来定位玉米的粒产量决定基因座和产量结构特征。玉米的大规模分子分析不仅侧重于新标记和数量性状位点(QTL)区域的鉴定。DNA 分析在杂种杂交亲本成分的选择中是一个非常重要的工具。本研究的目的是鉴定和选择与影响玉米产量组成部分大小的基因相关的新玉米(SNP 和 SilicoDArT)标记。用于研究的植物材料是 186 个自交系玉米品系。田间试验在两个地点进行。分析了产量和六个产量构成。为了鉴定与产量和产量构成有关的 SNP 和 SilicoDArT 标记,使用了下一代测序。基于生物计量测量分析,发现两个地点的品系分析性状的平均高度存在分化。上述结果表明存在基因型-环境相互作用。对基因型间观察到的质量的方差分析表明,基因型间存在统计学上显著的分化,地点间所有观察到的性状间存在统计学上显著的分化。典型变量分析用于在尽可能少丢失信息的情况下,用较少的维度呈现测试玉米基因型的多性状评估。未观察到由于分析导致的品系分组。基于下一代测序,获得了分子标记 SilicoDArT(53031)和 SNP(28571)。基于这些标记估计了分析品系之间的遗传距离。在鉴定的 81602 个 SilicoDArT 和 SNP 标记中,选择了 15409 个(1559 个 SilicoDArT 和 13850 个 SNP)与分析的产量构成显著相关的标记作为关联作图的结果。与 cob length(1203)、cob diameter(1759)、core length(1201)和 core diameter(2326)相关的分子标记数量最多。在与产量成分分析性状显著相关的 15409 个标记中,选择了 18 个 DArT 标记,这些标记在 Kobierzyce 和 Smolice 两个地点的四个性状(cob length、cob diameter、core length、core diameter)中均显著。这些标记用于物理作图。分析结果表明,在鉴定的 18 个标记中,有 6 个(1818;14506;2317;3233;11657;12812)标记位于基因内。这些标记分别位于染色体 8、9、7、3、5 和 1 上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40a7/9142088/2dc66e48b9d8/genes-13-00848-g001.jpg

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