Translational genomics of grain size regulation in wheat

Translational genomics of grain size regulation in wheat Theor Appl Genet (2017) 130:1765–1771 DOI 10.1007/s00122-017-2953-x REVIEW 1 2 Wanlong Li  · Bing Yang   Received: 14 February 2017 / Accepted: 26 July 2017 / Published online: 1 August 2017 © Springer-Verlag GmbH Germany 2017 Abstract Identifying and mapping the wheat GS gene homologs will Key message Identifying and mapping grain size candi- not only facilitate candidate gene analysis, but also open date genes in the wheat genome greatly empowers reverse the door to improving wheat yield using reverse genetics genetics approaches to improve grain yield potential of approaches by mining desired alleles in landraces and wild wheat. ancestors and to developing novel germplasm by TILLING Abstract Grain size (GS) or grain weight is believed to and genome editing technologies. be a major driving force for further improvement of wheat yield. Although the large, polyploid genome of wheat poses an obstacle to identifying GS determinants using map-based Introduction cloning, a translational genomics approach using GS regu- lators identified in the model plants rice and Arabidopsis As the most widely cultivated crop with the highest trading as candidate genes appears to be effective and supports a value, common wheat (Triticum aestivum, 2n = 6x, genomes hypothesis that a conserved genetic network regulates GS http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png TAG Theoretical and Applied Genetics Springer Journals

Translational genomics of grain size regulation in wheat

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag GmbH Germany
Subject
Life Sciences; Plant Breeding/Biotechnology; Plant Genetics and Genomics; Agriculture; Plant Biochemistry; Biochemistry, general; Biotechnology
ISSN
0040-5752
eISSN
1432-2242
D.O.I.
10.1007/s00122-017-2953-x
Publisher site
See Article on Publisher Site

Abstract

Theor Appl Genet (2017) 130:1765–1771 DOI 10.1007/s00122-017-2953-x REVIEW 1 2 Wanlong Li  · Bing Yang   Received: 14 February 2017 / Accepted: 26 July 2017 / Published online: 1 August 2017 © Springer-Verlag GmbH Germany 2017 Abstract Identifying and mapping the wheat GS gene homologs will Key message Identifying and mapping grain size candi- not only facilitate candidate gene analysis, but also open date genes in the wheat genome greatly empowers reverse the door to improving wheat yield using reverse genetics genetics approaches to improve grain yield potential of approaches by mining desired alleles in landraces and wild wheat. ancestors and to developing novel germplasm by TILLING Abstract Grain size (GS) or grain weight is believed to and genome editing technologies. be a major driving force for further improvement of wheat yield. Although the large, polyploid genome of wheat poses an obstacle to identifying GS determinants using map-based Introduction cloning, a translational genomics approach using GS regu- lators identified in the model plants rice and Arabidopsis As the most widely cultivated crop with the highest trading as candidate genes appears to be effective and supports a value, common wheat (Triticum aestivum, 2n = 6x, genomes hypothesis that a conserved genetic network regulates GS

Journal

TAG Theoretical and Applied GeneticsSpringer Journals

Published: Aug 1, 2017

References

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