Using translational genomics to underpin germplasm improvement for complex traits in crop legumes (ERA-PG 038)

利用转化基因组学支持作物豆类复杂性状的种质改良 (ERA-PG 038)

• 批准号: 37005386
• 负责人: Professor Dr. Klaus F.X. Mayer
• 金额: --
• 依托单位: Abteilung Genomik und Systembiologie pflanzlicher Genome (PGSB)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2007
• 资助国家: 德国
• 起止时间: 2006-12-31 至 2009-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/37005386?language=en
• 关键词: Using; translational; genomics; underpin; germplasm

The objective is to create a robust physical map of diploid clover (Trifolium pratense) that will be anchored to the genome sequence of the legume reference species Medicago truncatula, and aligned to the clover genetic map. The anchored physical map will facilitate dissection of biological traits, future genetic improvement and marker assisted breeding in this important legume crop. The proposal will allow comparative analysis across legume species and create a model for translational genomics in crop legumes. Fingerprinting and end-sequencing of BAC clones from an existing red clover library will be used to obtain 2000 BAC contigs and anchor them to the M. truncatula genome using the closest homologue. Cytogenetics will assess the level of coverage of the clover physical map and resolve issues with misaligned contigs. Approximately 70 gene specific molecular markers previously tested in clover will permit an approximate positioning in the M. truncatula genome to be determined. A web accessible clover information resource with the alignment to M. truncatula, and integrated with the alfalfa resource developed in the US will be established. Integration with other databases will allow us to derive conserved orthologous sequence markers from the clover end-sequence tags that can be integrated with their counterparts in M. truncatula and Lotus japonicus.

目的是创建一个健壮的二倍体三叶草（Trifolium pratense）的物理图谱，该图谱将锚定在豆科参考物种Medicago truncatula的基因组序列上，并与三叶草遗传图谱对齐。锚定的物理图谱将有助于解剖这一重要豆类作物的生物学性状、未来的遗传改良和标记辅助育种。该提案将允许跨豆类物种进行比较分析，并为作物豆类的转化基因组学创建一个模型。对现有红三叶草文库中的BAC克隆进行指纹识别和末端测序，获得2000个BAC序列，并利用最接近的同源物将它们固定在M. truncatula基因组上。细胞遗传学将评估三叶草物理图谱的覆盖水平，并解决排列不一致的问题。先前在三叶草中测试的大约70个基因特异性分子标记将允许在M. truncatula基因组中确定大致位置。将建立一个以M. truncatula为导向，并与美国紫花苜蓿资源相结合的三叶草网络信息资源。与其他数据库的整合将使我们能够从三叶草末端序列标签中获得保守的同源序列标记，这些标记可以与M. truncatula和Lotus japonicus的对应序列进行整合。