Functional & Integrative Genomics

, Volume 10, Issue 4, pp 447–462 | Cite as

Functional genomics of soybean for improvement of productivity in adverse conditions

Review

Abstract

Global soybean production is frequently impacted by various stresses, including both abiotic and biotic stresses. To develop soybean plants with enhanced tolerance to different stressors, functional genomics of soybean and a comprehensive understanding of available biotechnological resources and approaches are essential. In this review, we will discuss recent advances in soybean functional genomics which provide unprecedented opportunities to understand global patterns of gene expression, gene regulatory networks, various physiological, biochemical, and metabolic pathways as well as their association with the development of specific phenotypes. Soybean functional genomics, therefore, will ultimately enable us to develop new soybean varieties with improved productivity under adverse conditions by genetic engineering.

Keywords

Soybean Stress Functional genomics Comparative genomics 

Abbreviation

EST

Expressed sequence tag

FL-cDNA

Full-length cDNA

GO

Gene ontology

LG

Linkage group

MAS

Marker-assisted selection

MS

Mass spectrometry

QTL

Quantitative trait locus

RIL

Recombinant inbred lines

SCN

Soybean cyst nematode

SBR

Soybean rust

TF

Transcription factor

Notes

Acknowledgments

Research in Tran’s lab is supported by Grants-in-Aid (Start-up) for Scientific Research (No. 21870046) from Ministry of Education, Culture, Sports, Science and Technology of Japan, and by Start-up Support grant (No. M36-57000) from Yokohama Institute Director Discretionary Funds.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  1. 1.RIKEN Plant Science CenterYokohamaJapan

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