Evidence map›Paper›PMID 39719584›Full record

ArticlePlant methods2024

Development of a web-based high-throughput marker design program: CAPS (cleaved amplified polymorphic sequence) Maker.

Joo-Seok Park, Yoram Choi, Jin-Hyun Kim, Chaeyoung Lee, Min-Gyun Jeong, Yeong-Il Jeong, Yang Jae Kang, Young-Soo Chung, Hong-Kyu Choi

Abstract read
In one paragraph

Article in Plant methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Extensive nrDNA Polymorphism inPlants (Basel, Switzerland) · 2025
    Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Joo-Seok ParkDepartment of Applied Bioscience, Dong-A University, Saha-Gu Nakdong-Daero 550 beongil 37, Busan, 49315, Republic of Korea.
Yoram ChoiDepartment of Applied Bioscience, Dong-A University, Saha-Gu Nakdong-Daero 550 beongil 37, Busan, 49315, Republic of Korea.
Jin-Hyun KimGenomics Division, Department of Agricultural Biotechnology, National Institute of Agricultural Sciences, 370 Nongsaengmyeong-ro, Jeonju-si, Jeollabuk-do, 54874, Republic of Korea.
Chaeyoung LeeDongnam Institute of Radiological & Medical Sciences, Jwadong-gil 40, Jangan-eup, Gijang-gun, Busan, 46033, Republic of Korea.
Min-Gyun JeongDepartment of Applied Bioscience, Dong-A University, Saha-Gu Nakdong-Daero 550 beongil 37, Busan, 49315, Republic of Korea.
Yeong-Il JeongDepartment of Applied Bioscience, Dong-A University, Saha-Gu Nakdong-Daero 550 beongil 37, Busan, 49315, Republic of Korea.
Yang Jae KangResearch Institute of Molecular Alchemy, Gyeongsang National University, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea.
Young-Soo ChungDepartment of Molecular Genetics, Dong-A University, Saha-gu Nakdong-Daero 550 beongil 37, Busan, 49315, Republic of Korea.
Hong-Kyu ChoiDepartment of Molecular Genetics, Dong-A University, Saha-gu Nakdong-Daero 550 beongil 37, Busan, 49315, Republic of Korea. hkchoi@dau.ac.kr.

Funding

National Research Foundation of Korea 2020R1A6A1A03047729
6 · The paper itself

Abstract

backgroundGenetic markers are crucial for breeding crops with desired agronomic traits, and their development can be expedited using next-generation sequencing (NGS) and bioinformatics tools. Numerous tools have been developed to design molecular markers, enhancing the convenience, accuracy, and efficiency of molecular breeding. However, these tools primarily focus on genetic variants within short user-input sequences, despite the availability of extensive omics data for genomic variants. To design molecular markers encompassing a vast number of genetic variants at the genome-wide scale in soybean, an automatic system capable of handling NGS-based big data is necessary.

resultsIn this study, we developed a robust digital platform, the CAPS Maker, for designing cleaved amplified polymorphic sequence (CAPS)/derived CAPS (dCAPS) markers in soybeans. This platform simplifies the systematic design of genomic markers with a user-friendly graphical interface, featuring a 'SNP Browser' and 'Primer Table', along with internal programs (e.g., the eHT-PCR module) to design unique primer pairs for highly duplicated genomes like soybean.

conclusionsThe CAPS Maker's efficiency and reliability were experimentally verified by comparing its marker predictions with actual experimental results. Consequently, breeders can easily design CAPS/dCAPS markers using the CAPS Maker platform to develop new soybean cultivars with beneficial agronomic traits. This platform is freely accessible at https://tgil.donga.ac.kr/CAPSMaker .

Indexed as

CAPS MakerGenetic markerRe-sequencingSNPSoybeanVariant

Identifiers

PMID39719584
PMCPMC11669248

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.