- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Degenerate oligonucleotide primer MIG-seq: an effective PCR-based method for high-throughput genotyping
Bibliographic Information
- Other Title
-
- Degenerate oligonucleotide primer <scp>MIG</scp>‐seq: an effective <scp>PCR</scp>‐based method for high‐throughput genotyping
Search this article
Description
Next-generation sequencing (NGS) library construction often involves using restriction enzymes to decrease genome complexity, enabling versatile polymorphism detection in plants. However, plant leaves frequently contain impurities, such as polyphenols, necessitating DNA purification before enzymatic reactions. To overcome this problem, we developed a PCR-based method for expeditious NGS library preparation, offering flexibility in number of detected polymorphisms. By substituting a segment of the simple sequence repeat sequence in the MIG-seq primer set (MIG-seq being a PCR method enabling library construction with low-quality DNA) with degenerate oligonucleotides, we introduced variability in detectable polymorphisms across various crops. This innovation, named degenerate oligonucleotide primer MIG-seq (dpMIG-seq), enabled a streamlined protocol for constructing dpMIG-seq libraries from unpurified DNA, which was implemented stably in several crop species, including fruit trees. Furthermore, dpMIG-seq facilitated efficient lineage selection in wheat and enabled linkage map construction and quantitative trait loci analysis in tomato, rice, and soybean without necessitating DNA concentration adjustments. These findings underscore the potential of the dpMIG-seq protocol for advancing genetic analyses across diverse plant species.
Journal
-
- The Plant Journal
-
The Plant Journal 118 (6), 2296-2317, 2024-06
Wiley
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1050865021802921088
-
- ISSN
- 1365313X
- 09607412
-
- HANDLE
- 2433/290042
-
- Text Lang
- en
-
- Article Type
- journal article
-
- Data Source
-
- IRDB
- Crossref
- KAKEN
- OpenAIRE