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Toward Integration of Comparative Genetic Physical Diversity and Cytomolecular Maps for Grasses and Grains Using the Sorghum Genome as a Foundation

机译:以高粱基因组为基础实现草和谷物的比较遗传物理多样性和细胞分子图的整合

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摘要

The small genome of sorghum (Sorghum bicolor L. Moench.) provides an important template for study of closely related large-genome crops such as maize (Zea mays) and sugarcane (Saccharum spp.), and is a logical complement to distantly related rice (Oryza sativa) as a “grass genome model.” Using a high-density RFLP map as a framework, a robust physical map of sorghum is being assembled by integrating hybridization and fingerprint data with comparative data from related taxa such as rice and using new methods to resolve genomic duplications into locus-specific groups. By taking advantage of allelic variation revealed by heterologous probes, the positions of corresponding loci on the wheat (Triticum aestivum), rice, maize, sugarcane, and Arabidopsis genomes are being interpolated on the sorghum physical map. Bacterial artificial chromosomes for the small genome of rice are shown to close several gaps in the sorghum contigs; the emerging rice physical map and assembled sequence will further accelerate progress. An important motivation for developing genomic tools is to relate molecular level variation to phenotypic diversity. “Diversity maps,” which depict the levels and patterns of variation in different gene pools, shed light on relationships of allelic diversity with chromosome organization, and suggest possible locations of genomic regions that are under selection due to major gene effects (some of which may be revealed by quantitative trait locus mapping). Both physical maps and diversity maps suggest interesting features that may be integrally related to the chromosomal context of DNA—progress in cytology promises to provide a means to elucidate such relationships. We seek to provide a detailed picture of the structure, function, and evolution of the genome of sorghum and its relatives, together with molecular tools such as locus-specific sequence-tagged site DNA markers and bacterial artificial chromosome contigs that will have enduring value for many aspects of genome analysis.
机译:高粱(Sorghum bicolor L. Moench。)的小基因组为研究紧密相关的大型基因组作物,如玉米(Zea mays)和甘蔗(Saccharum spp。)提供了重要的模板,并且是与远缘水稻的逻辑互补(Oryza sativa)作为“草基因组模型”。使用高密度RFLP图谱作为框架,通过将杂交和指纹数据与相关分类单元(例如水稻)的比较数据进行整合,并使用新方法将基因组重复解析为特定位点的组合,来构建强大的高粱物理图谱。通过利用异源探针揭示的等位基因变异,将相应基因座在小麦(Triticum aestivum),水稻,玉米,甘蔗和拟南芥基因组上的位置插值到高粱的物理图谱上。水稻小基因组的细菌人工染色体显示出可以弥补高粱重叠群中的几个缺口。新兴的稻米实物图和装配顺序将进一步加快进度。开发基因组工具的重要动机是将分子水平的变化与表型多样性联系起来。 “多样性图”描述了不同基因库中变异的水平和模式,阐明了等位基因多样性与染色体组织的关系,并提出了由于主要基因效应而处于选择中的基因组区域的可能位置(其中一些可能通过数量性状基因座图揭示)。物理图谱和多样性图谱都暗示了有趣的特征,这些特征可能与DNA的染色体背景密切相关-细胞学的进步有望为阐明这种关系提供一种手段。我们寻求提供高粱及其近亲基因组的结构,功能和进化的详细图片,以及分子工具,例如基因座特异性序列标记的位点DNA标记和细菌人工染色体重叠群,这些物质将对基因组分析的许多方面。

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