Using genomic information to improve soybean adaptability to climate change

© The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissionsoup.com.

Détails bibliographiques
Publié dans:Journal of experimental botany. - 1985. - 68(2017), 8 vom: 01. Apr., Seite 1823-1834
Auteur principal: Li, Man-Wah (Auteur)
Autres auteurs: Xin, Dawei, Gao, Yishu, Li, Kwan-Pok, Fan, Kejing, Muñoz, Nacira Belen, Yung, Wai-Shing, Lam, Hon-Ming
Format: Article en ligne
Langue:English
Publié: 2017
Accès à la collection:Journal of experimental botany
Sujets:Journal Article Review Research Support, Non-U.S. Gov't Climate change epigenomics genome genome editing genome-wide selection nutrient stress proteomics plus... soybean temperature stress transcriptomics water stress whole-genome sequencing.
Description
Résumé:© The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissionsoup.com.
Climate change has brought severe challenges to agriculture. It is anticipated that there will be a drop in crop yield - including that of soybean - due to climatic stress factors that include drastic fluctuations in temperature, drought, flooding and high salinity. Genomic information on soybean has been accumulating rapidly since initial publication of its reference genome, providing a valuable tool for the improvement of cultivated soybean. Not only are many molecular markers that are associated with important quantitative trait loci now identified, but we also have a more detailed picture of the genomic variations among soybean germplasms, enabling us to utilize these as tools to assist crop breeding. In this review, we will summarize and discuss the currently available soybean genomic approaches, including whole-genome sequencing, sequencing-based genotyping, functional genomics, proteomics, and epigenomics. The information uncovered through these techniques will help further pinpoint important gene candidates and genomic loci associated with adaptive traits, as well as achieving a better understanding of how soybeans cope with the changing climate
Description:Date Completed 30.01.2018
Date Revised 13.12.2023
published: Print
Citation Status MEDLINE
ISSN:1460-2431
DOI:10.1093/jxb/erw348