Literature DB >> 27660480

Using genomic information to improve soybean adaptability to climate change.

Man-Wah Li1, Dawei Xin1,2, Yishu Gao1, Kwan-Pok Li1, Kejing Fan1, Nacira Belen Muñoz1,3,4, Wai-Shing Yung1, Hon-Ming Lam1.   

Abstract

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.
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Entities:  

Keywords:  Climate change; epigenomics; genome; genome editing; genome-wide selection; nutrient stress; proteomics; soybean; temperature stress; transcriptomics; water stress; whole-genome sequencing.

Mesh:

Year:  2017        PMID: 27660480     DOI: 10.1093/jxb/erw348

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  6 in total

Review 1.  Salinity stress response and 'omics' approaches for improving salinity stress tolerance in major grain legumes.

Authors:  Uday Chand Jha; Abhishek Bohra; Rintu Jha; Swarup Kumar Parida
Journal:  Plant Cell Rep       Date:  2019-01-12       Impact factor: 4.570

2.  Fine-mapping and candidate gene analysis for the foxglove aphid resistance gene Raso2 from wild soybean PI 366121.

Authors:  Ki-Seung Kim; Ji-Min Kim; Jiyeong Jung; Ilseob Shin; Sumin Park; Ju Seok Lee; Soon-Chun Jeong; Jeong-Dong Lee; Jin Kyo Jung; Bo-Keun Ha; Sungtaeg Kang
Journal:  Theor Appl Genet       Date:  2021-05-11       Impact factor: 5.699

3.  Nature's pulse power: legumes, food security and climate change.

Authors:  Michael J Considine; Kadambot H M Siddique; Christine H Foyer
Journal:  J Exp Bot       Date:  2017-04-01       Impact factor: 6.992

4.  An Integrated Approach of Proteomics and Computational Genetic Modification Effectiveness Analysis to Uncover the Mechanisms of Flood Tolerance in Soybeans.

Authors:  Xin Wang; Katsumi Sakata; Setsuko Komatsu
Journal:  Int J Mol Sci       Date:  2018-04-26       Impact factor: 5.923

5.  Genome-Wide Identification, Characterization and Expression Analysis of Soybean CHYR Gene Family.

Authors:  Bowei Jia; Yan Wang; Dajian Zhang; Wanhong Li; Hongli Cui; Jun Jin; Xiaoxi Cai; Yang Shen; Shengyang Wu; Yongxia Guo; Mingzhe Sun; Xiaoli Sun
Journal:  Int J Mol Sci       Date:  2021-11-11       Impact factor: 5.923

Review 6.  Progress in soybean functional genomics over the past decade.

Authors:  Min Zhang; Shulin Liu; Zhao Wang; Yaqin Yuan; Zhifang Zhang; Qianjin Liang; Xia Yang; Zongbiao Duan; Yucheng Liu; Fanjiang Kong; Baohui Liu; Bo Ren; Zhixi Tian
Journal:  Plant Biotechnol J       Date:  2021-08-25       Impact factor: 9.803

  6 in total

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