Development of a Set of Polymorphic DNA Markers for Soybean (Glycine max L.) Applications
文献类型: 外文期刊
第一作者: Li, Man-Wah
作者: Li, Man-Wah;Wang, Xin;Sze, Ching-Ching;Yung, Wai-Shing;Wong, Fuk-Ling;Chan, Ting-Fung;Lam, Hon-Ming;Li, Man-Wah;Wang, Xin;Sze, Ching-Ching;Yung, Wai-Shing;Wong, Fuk-Ling;Chan, Ting-Fung;Lam, Hon-Ming;Li, Man-Wah;Yung, Wai-Shing;Chan, Ting-Fung;Lam, Hon-Ming;Wang, Xin;Zhang, Guohong;Chung, Gyuhwa
作者机构:
关键词: Glycine max; single nucleotide polymorphism (SNP); trait-specific marker; present-absent variation; tetra-primer ARMS-PCR; genotyping; breeding
期刊名称:AGRONOMY-BASEL ( 影响因子:3.7; 五年影响因子:4.0 )
ISSN:
年卷期: 2023 年 13 卷 11 期
页码:
收录情况: SCI
摘要: Soybean (Glycine max L.) is gaining in importance due to its many uses, including as a food crop and a source of industrial products, among others. Increasing efforts are made to accelerate soybean research and develop new soybean varieties to meet global demands. Soybean research, breeding, identification, and variety protection all rely on precise genomic information. While DNA markers are invaluable tools for these purposes, the older generations, especially those developed before the advent of genome sequencing, lack precision and specificity. Thankfully, advancements in genome sequencing technologies have generated vast amounts of sequence data over the past decade, allowing precise and high-resolution analyses. However, making sense of the genomic information requires a certain level of professional training and computational power, which are not universally available to researchers. To address this, we generated a set of PCR-based DNA markers out of the existing genomic data from 228 popular soybean varieties that offer precise, unambiguous genomic information and can be easily adapted in various applications. A standard operating procedure (SOP) was also designed for these markers and validated on diverse soybean varieties to ensure their reproducibility. This user-friendly universal panel of DNA markers, along with the SOP, will facilitate soybean research and breeding programs through simple applications.
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