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Genomics-Assisted Identification and Characterization of the Genetic Variants Underlying Differential Nitrogen Use Efficiencies in Allotetraploid Rapeseed Genotypes

机译:基因组学辅助识别和表征异源四倍体油菜籽基因型中氮差异利用效率的遗传变异。

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摘要

Nitrogen (N) is a non-mineral macronutrient essential for plant growth and development. Oilseed rape (AnAnCnCn, 2n = 4x = 38) has a high requirement for N nutrients whereas showing the lowest N use efficiency (NUE) among crops. The mechanisms underlying NUE regulation in Brassica napus remain unclear because of genome complexity. In this study, we performed high-depth and -coverage whole-genome re-sequencing (WGS) of an N-efficient (higher NUE) genotype “XY15” and an N-inefficient (lower NUE) genotype “814” of rapeseed. More than 687 million 150-bp paired-end reads were generated, which provided about 93% coverage and 50>× depth of the rapeseed genome. Applying stringent parameters, we identified a total of 1,449,157 single-nucleotide polymorphisms (SNPs), 335,228 InDels, 175,602 structure variations (SVs) and 86,280 copy number variations (CNVs) between the N-efficient and -inefficient genotypes. The largest proportion of various DNA polymorphisms occurred in the inter-genic regions. Unlike CNVs, the SNP/InDel and SV polymorphisms showed variation bias of the An and Cn subgenomes, respectively. Gene ontology analysis showed the genetic variants were mapped onto the genes involving N compound transport and ATPase complex metabolism, but not including N assimilation-related genes. On basis of identification of N-starvation responsive genes through high-throughput expression profiling, we also mapped these variants onto some key NUE-regulating genes, and validated their significantly differential expression between the N-efficient and -inefficient genotypes through qRT-PCR assays. Our data provide genome-wide high resolution DNA variants underlying NUE divergence in allotetraploid rapeseed genotypes, which would expedite the effective identification and functional validation of key NUE-regulating genes through genomics-assisted improvement of crop nutrient efficiency.
机译:氮(N)是植物生长发育必不可少的非矿物质常量营养素。油菜(AnAnCnCn,2n = 4x = 38)对氮素的养分需求很高,而在作物中氮素利用效率(NUE)最低。由于基因组复杂性,甘蓝型油菜中NUE调控的基本机制尚不清楚。在这项研究中,我们对油菜的N型(NUE较高)基因型“ XY15”和N型(NUE较低)基因型“ 814”进行了高深度覆盖全基因组重测序(WGS)。产生了超过6.87亿个150 bp的配对末端读段,提供了93%的覆盖率和50 >×的油菜基因组深度。应用严格的参数,我们确定了N型和低效基因型之间总共1,449,157个单核苷酸多态性(SNP),335,228个InDels,175,602个结构变异(SV)和86,280个拷贝数变异(CNV)。各种DNA多态性的最大比例发生在基因间区域。与CNV不同,SNP / InDel和SV多态性分别显示An和Cn亚基因组的变异偏差。基因本体分析表明,该遗传变异体被定位到涉及N化合物转运和ATPase复合物代谢的基因上,但不包括与N同化相关的基因。在通过高通量表达谱鉴定N-饥饿应答基因的基础上,我们还将这些变体定位到一些关键的NUE调控基因上,并通过qRT-PCR分析验证了它们在N型和低效基因型之间的显着差异表达。 。我们的数据提供了在异源四倍体油菜基因型中NUE差异基础上的全基因组高分辨率DNA变体,这将通过基因组学辅助提高作物营养效率来加快关键NUE调控基因的有效鉴定和功能验证。

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