BonnMu:玉米功能基因组学资源。

Caroline Marcon, Yan Naing Win, Xuelian Du, Frank Hochholdinger
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引用次数: 0

摘要

BonnMu 资源是一个公共转座子标记群体,用于玉米(Zea mays L.)的反向和正向遗传学研究。该资源是通过将一个活跃的突变体(Mu)转座子品系与不同的近交系杂交以诱导插入突变而产生的。产生的 F1 代通过自花授粉产生分离的 BonnMu F2 种群。Mu标记的BonnMu F2种群在所有注释的玉米基因模型中有83%的插入,Mu插入位置和分离的BonnMu F2种群的幼苗表型照片保存在玉米遗传学和基因组学数据库(MaizeGDB)中,种子可供社区使用。在此,我们讨论了 BonnMu 资源的创建、扩展和应用,该资源用于鉴定和描述 Mu 转座子诱导的突变,是玉米功能基因组学研究的有用工具。
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BonnMu: A Resource for Functional Genomics in Maize (Zea mays L.).

The BonnMu resource is a public transposon-tagged population designed for reverse and forward genetics studies in maize (Zea mays L.). The resource was created by crossing an active Mutator (Mu) transposon line into different inbred lines to induce insertional mutations. The resulting F1 generation was self-pollinated to generate segregating BonnMu F2 stocks. The Mu-tagged BonnMu F2 stocks have insertions in 83% of all annotated maize gene models, and Mu insertion positions and photos of the seedling phenotypes of the segregating BonnMu F2 stocks are deposited in the Maize Genetics and Genomics Database (MaizeGDB), with seeds available to the community. Here, we discuss the creation, expansion, and application of the BonnMu resource for identifying and characterizing mutations induced by Mu transposons, which represents a useful tool for functional genomics studies in maize.

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来源期刊
Cold Spring Harbor protocols
Cold Spring Harbor protocols Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.00
自引率
0.00%
发文量
163
期刊介绍: Cold Spring Harbor Laboratory is renowned for its teaching of biomedical research techniques. For decades, participants in its celebrated, hands-on courses and users of its laboratory manuals have gained access to the most authoritative and reliable methods in molecular and cellular biology. Now that access has moved online. Cold Spring Harbor Protocols is an interdisciplinary journal providing a definitive source of research methods in cell, developmental and molecular biology, genetics, bioinformatics, protein science, computational biology, immunology, neuroscience and imaging. Each monthly issue details multiple essential methods—a mix of cutting-edge and well-established techniques.
期刊最新文献
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