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Published on: July 16, 2019
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MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.)
Kazusa Nishimura1, Ko Motoki1, Akira Yamazaki1,2
1Graduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan.
Summary
Multiplexed inter-simple sequence repeats genotyping by sequencing (MIG-seq) effectively analyzes large plant genomes. This low-cost genotyping method correlates genome size with sequenced loci, proving useful for crops like wheat.
Area of Science:
- Agricultural Science
- Genomics
- Plant Breeding
Background:
- Multiplexed inter-simple sequence repeats genotyping by sequencing (MIG-seq) is a low-cost genotyping technology.
- Its application in agricultural plants is limited by the perceived low number of polymorphisms.
- The relationship between genome size and MIG-seq efficacy requires further investigation.
Purpose of the Study:
- To investigate the relationship between genome size and the number of stably sequenced bases using MIG-seq across 12 plant species.
- To evaluate the applicability of MIG-seq for population structure, linkage mapping, and quantitative trait loci (QTL) analysis in wheat.
- To demonstrate the effectiveness of MIG-seq for genomic analysis in large-genome agricultural plants.
Main Methods:
- Applied MIG-seq to 12 diverse plant species.
- Analyzed the correlation between genome size and the number of MIG-seq loci.
- Conducted population structure analysis, linkage mapping, and QTL analysis on wheat using MIG-seq data.
Main Results:
- A positive correlation was found between genome size and the number of loci sequenced by MIG-seq, attributed to the linkage between genome size and simple sequence repeats (SSRs).
- MIG-seq successfully differentiated populations of tetraploid wheat based on collection sites and subspecies.
- Over 3,000 SNPs/indels were detected in wheat mapping populations, and QTL analysis identified known flowering-related genes.
Conclusions:
- MIG-seq is effective for analyzing agricultural plants, even those with large genomes.
- The number of detectable polymorphisms via MIG-seq is positively linked to genome size.
- MIG-seq provides a valuable tool for genomic studies in diverse crop species, including wheat.

