Integrating multi-omics data for crop improvement

被引：67

作者：

Scossa, Federico ^{[1
,2
]}

Alseekh, Saleh ^{[1
,3
]}

Fernie, Alisdair R. ^{[1
,3
]}

机构：

[1] Max Planck Inst Mol Pflanzenphysiol, Muhlenberg 1, D-14476 Golm, Germany

[2] Council Agr Res & Econ CREA, Res Ctr Genom & Bioinformat CREA GB, I-00178 Rome, Italy

[3] Ctr Plant Syst Biol & Biotechnol CPSBB, Plovdiv, Bulgaria

来源：

JOURNAL OF PLANT PHYSIOLOGY | 2021年 / 257卷

关键词：

Genomics; Transcriptomics; Metabolomics; Sequencing; Breeding; QUANTITATIVE TRAIT LOCUS; GENOME-WIDE ASSOCIATION; TOMATO SUGAR CONTENT; PAN-GENOME; NATURAL VARIATION; LYCOPERSICON-ESCULENTUM; FUNCTIONAL GENOMICS; TRANSCRIPTOME DATA; PROVIDES INSIGHTS; DNA METHYLATION;

D O I：

10.1016/j.jplph.2020.153352

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

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.

引用

页数：16

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