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MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.).
DNA Research ( IF 4.1 ) Pub Date : 2022-02-27 , DOI: 10.1093/dnares/dsac011
Kazusa Nishimura 1 , Ko Motoki 1 , Akira Yamazaki 1, 2 , Rihito Takisawa 3 , Yasuo Yasui 1 , Takashi Kawai 4 , Koichiro Ushijima 4 , Ryohei Nakano 1 , Tetsuya Nakazaki 1
Affiliation  

MIG-seq (Multiplexed inter-simple sequence repeats genotyping by sequencing) has been developed as a low cost genotyping technology, although the number of polymorphisms obtained is assumed to be minimal, resulting in the low application of this technique to analyses of agricultural plants. We applied MIG-seq to 12 plant species that include various crops and investigated the relationship between genome size and the number of bases that can be stably sequenced. The genome size and the number of loci, which can be sequenced by MIG-seq, are positively correlated. This is due to the linkage between genome size and the number of simple sequence repeats (SSRs) through the genome. The applicability of MIG-seq to population structure analysis, linkage mapping, and quantitative trait loci (QTL) analysis in wheat, which has a relatively large genome, was further evaluated. The results of population structure analysis for tetraploid wheat showed the differences among collection sites and subspecies, which agreed with previous findings. Additionally, in wheat biparental mapping populations, over 3,000 SNPs/indels with low deficiency were detected using MIG-seq, and the QTL analysis was able to detect recognized flowering-related genes. These results revealed the effectiveness of MIG-seq for genomic analysis of agricultural plants with large genomes, including wheat.

中文翻译:

MIG-seq 是小麦(Triticum spp.)高通量基因分型的有效方法。

MIG-seq(Multiplexed inter-simple sequence repeats genotyping by测序)已被开发为一种低成本的基因分型技术,尽管假设获得的多态性数量很少,导致该技术在农业植物分析中的应用较少。我们将 MIG-seq 应用于包括各种作物在内的 12 种植物物种,并研究了基因组大小与可稳定测序的碱基数量之间的关系。MIG-seq可以测序的基因组大小和基因座数量呈正相关。这是由于基因组大小与基因组中简单序列重复 (SSR) 数量之间的联系。MIG-seq 对基因组相对较大的小麦群体结构分析、连锁作图和数量性状基因座 (QTL) 分析的适用性,被进一步评估。四倍体小麦种群结构分析结果显示采集点和亚种之间存在差异,与之前的研究结果一致。此外,在小麦双亲作图群体中,使用 MIG-seq 检测到 3,000 多个 SNPs/indels 具有低缺陷,并且 QTL 分析能够检测到公认的开花相关基因。这些结果揭示了 MIG-seq 对具有大基因组的农业植物(包括小麦)的基因组分析的有效性。并且QTL分析能够检测到公认的开花相关基因。这些结果揭示了 MIG-seq 对具有大基因组的农业植物(包括小麦)的基因组分析的有效性。并且QTL分析能够检测到公认的开花相关基因。这些结果揭示了 MIG-seq 对具有大基因组的农业植物(包括小麦)的基因组分析的有效性。
更新日期:2022-04-12
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