TY - JOUR
T1 - MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.)
AU - Nishimura, Kazusa
AU - Motoki, Ko
AU - Yamazaki, Akira
AU - Takisawa, Rihito
AU - Yasui, Yasuo
AU - Kawai, Takashi
AU - Ushijima, Koichiro
AU - Nakano, Ryohei
AU - Nakazaki, Tetsuya
N1 - Publisher Copyright:
© The Author(s) 2022. Published by Oxford University Press on behalf of Kazusa DNA Research Institute.
PY - 2022/2/27
Y1 - 2022/2/27
N2 - 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.
AB - 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.
KW - genotyping
KW - MIG-seq
KW - wheat
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U2 - 10.1093/dnares/dsac011
DO - 10.1093/dnares/dsac011
M3 - Article
C2 - 35412600
AN - SCOPUS:85129345289
SN - 1340-2838
VL - 29
JO - DNA Research
JF - DNA Research
IS - 2
ER -