The Plant JournalGeneticsPeer-reviewed journal article
Degenerate oligonucleotide primer MIG-seq: an effective PCR-based method for high-throughput genotyping
Kazusa NishimuraiD, Hiroyuki Kokaji, Ko MotokiiD, Akira YamazakiiD, Kyoka NagasakaiD, Takashi Mori, Rihito TakisawaiD, Yasuo YasuiiD, Takashi Kawai, Koichiro UshijimaiD, Masanori YamasakiiD, Hiroki SaitoiD, Ryohei NakanoiD, Tetsuya NakazakiiD
Abstract
Multiplexed inter-simple sequence repeats genotyping by sequencing (MIG-seq) is an next-generation sequencing library construction method developed for the analysis of DNA in ecology. Although MIG-seq can generate libraries from low-quality DNA, few polymorphisms can be obtained in species with small genomes. In this study, we developed degenerate oligonucleotide primer MIG-seq (dpMIG-seq) as an effective polymorphism discovery method that allows for variation in the number of polymorphisms while retaining the advantages of MIG-seq, including independence from DNA quality. In dpMIG-seq, a proportion of the simple sequence repeats in the primer sequence of the first PCR in MIG-seq was changed to degenerate oligonucleotides to enable annealing to a wider range of sequences. In tests of several crop species other than wheat, the number of loci that could be sequenced using dpMIG-seq with a data volume of 0.3 gigabases (Gb) was increased compared with that sequenced using MIG-seq. In wheat, the number of polymorphisms obtained via dpMIG-seq was higher than that obtained via MIG-seq when a data volume of about [≥]2 Gb was obtained. In dpMIG-seq, different loci could be sequenced by changing the positions of the degenerate oligonucleotides. By applying dpMIG-seq, we constructed a linkage map consisting of 5,142 markers for the rice inter-subspecies F2 population, and we detected quantitative trait loci for heading date in the regions where known heading-related genes were located. Overall, our results show that dpMIG-seq is a useful tool for the genetic analysis of crop species.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: genome assembly
- research focus: GWAS / association mapping
- approach: experimental assay
- Citations
- 22
- FWCI
- 5.82
- Field percentile
- top 3%
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