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整合多组学数据以促进作物改良。

Integrating multi-omics data for crop improvement.

机构信息

Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476, Potsdam, Golm, Germany; Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (CREA-GB), 00178, Rome, Italy.

Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476, Potsdam, Golm, Germany; Center of Plant Systems Biology and Biotechnology (CPSBB), Plovdiv, Bulgaria.

出版信息

J Plant Physiol. 2021 Feb;257:153352. doi: 10.1016/j.jplph.2020.153352. Epub 2020 Dec 17.

DOI:10.1016/j.jplph.2020.153352
PMID:33360148
Abstract

Our agricultural systems are now in urgent need to secure food for a growing world population. To meet this challenge, we need a better characterization of plant genetic and phenotypic diversity. The combination of genomics, transcriptomics and metabolomics enables a deeper understanding of the mechanisms underlying the complex architecture of many phenotypic traits of agricultural relevance. We review the recent advances in plant genomics to see how these can be integrated with broad molecular profiling approaches to improve our understanding of plant phenotypic variation and inform crop breeding strategies.

摘要

我们的农业系统现在急需为不断增长的世界人口提供粮食。为了应对这一挑战,我们需要更好地描述植物的遗传和表型多样性。基因组学、转录组学和代谢组学的结合使我们能够更深入地了解许多与农业相关的复杂表型性状的复杂结构背后的机制。我们回顾了植物基因组学的最新进展,看看如何将这些进展与广泛的分子分析方法相结合,以提高我们对植物表型变异的理解,并为作物育种策略提供信息。

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