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

Kazusa Nishimura, Koichi Motoki, Akira Yamazaki, Rihito Takisawa, Y. Yasui, T. Kawai, K. Ushijima, R. Nakano, T. Nakazaki
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引用次数: 2

摘要

MIG-seq (Multiplexed inter-simple sequence repeats genotyping by sequencing)作为一种低成本的基因分型技术已经发展起来,尽管该技术获得的多态性数量被认为是最少的,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以稳定测序的碱基数量之间的关系。基因组大小与基因座数量呈正相关,可通过MIG-seq测序。这是由于基因组大小和通过基因组的简单序列重复(SSRs)数量之间的联系。进一步评价了MIG-seq在小麦群体结构分析、连锁定位、QTL分析等方面的适用性。四倍体小麦群体结构分析结果表明,不同采集点和亚种间存在差异,与前人的研究结果一致。此外,在小麦双亲本定位群体中,使用MIG-seq检测到3000多个低缺陷snp /indel, QTL分析能够检测到识别的开花相关基因。这些结果揭示了MIG-seq对包括小麦在内的大基因组农业植物基因组分析的有效性。
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MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.)
Abstract 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.
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