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作物转化基因组学的前景与挑战

Promises and challenges of crop translational genomics.

作者信息

Mascher Martin, Jayakodi Murukarthick, Shim Hyeonah, Stein Nils

机构信息

Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.

出版信息

Nature. 2024 Dec;636(8043):585-593. doi: 10.1038/s41586-024-07713-5. Epub 2024 Sep 23.

Abstract

Crop translational genomics applies breeding techniques based on genomic datasets to improve crops. Technological breakthroughs in the past ten years have made it possible to sequence the genomes of increasing numbers of crop varieties and have assisted in the genetic dissection of crop performance. However, translating research findings to breeding applications remains challenging. Here we review recent progress and future prospects for crop translational genomics in bringing results from the laboratory to the field. Genetic mapping, genomic selection and sequence-assisted characterization and deployment of plant genetic resources utilize rapid genotyping of large populations. These approaches have all had an impact on breeding for qualitative traits, where single genes with large phenotypic effects exert their influence. Characterization of the complex genetic architectures that underlie quantitative traits such as yield and flowering time, especially in newly domesticated crops, will require further basic research, including research into regulation and interactions of genes and the integration of genomic approaches and high-throughput phenotyping, before targeted interventions can be designed. Future priorities for translation include supporting genomics-assisted breeding in low-income countries and adaptation of crops to changing environments.

摘要

作物转化基因组学应用基于基因组数据集的育种技术来改良作物。过去十年中的技术突破使得对越来越多作物品种的基因组进行测序成为可能,并有助于对作物性能进行遗传剖析。然而,将研究成果转化为育种应用仍然具有挑战性。在此,我们综述了作物转化基因组学在将实验室成果应用于田间方面的最新进展和未来前景。遗传图谱绘制、基因组选择以及植物遗传资源的序列辅助鉴定与利用,都利用了大群体的快速基因分型。这些方法都对质量性状的育种产生了影响,在质量性状中,具有大表型效应的单个基因发挥作用。对于产量和开花时间等数量性状背后复杂遗传结构的鉴定,尤其是在新驯化的作物中,在能够设计出有针对性的干预措施之前,还需要进一步的基础研究,包括对基因调控和相互作用以及基因组方法与高通量表型分析整合的研究。未来转化的重点包括支持低收入国家的基因组辅助育种以及使作物适应不断变化的环境。

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