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Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

soybean; breeding technology; molecular module-based designer breeding; molecular module; module coupling and assembly

Document Type

Article

Abstract

Soybean is one of the most economically important leguminous seed crops that provide the majority of plant proteins, and more than a quarter of the world's food and animal feed. At present, the soybean breeding technology in China mainly relys on conventional breeding, and the levels of both fundamental study and production lag behind those of the United States. Supported by "Innovative System of Designer Breeding by Molecular Modules", one of the strategic priority research programs of Chinese Academy of Sciences, Chinese soybean scientists have dissected several important molecular modules controlling yield and seed quality, revealed the coupling mechanisms of diverse molecular modules, bred a series of designer soybean varieties for field tests or regional trials, which together to establish the first-generation molecular module-based designer breeding systems in soybean. In the future, we should continue to strengthen germplasm resources evaluation and exploitation system, promote autonomy public database building, improve the data sharing mechanism, vigorously develop breakthrough technologies for high and stable yield soybean and for soybean replacement feed crops, speed up the molecular design breeding and artificial intelligence breeding systems, cultivate breakthrough soybean varieties, develop green and efficient cultivation techniques. With these studies, it is expected to enhance the soybeans production capacity and relieve soybean demand gap in China.

First page

915

Last Page

922

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

Lu S J, Zhao X H, Hu Y L, et al. Natural variation at the soybean J locus improves adaptation to the tropics and enhances yield. Nature Genetics, 2017, 49(5):773-779.

Lu X, Xiong Q, Cheng T, et al. A PP2C- 1 allele underlying a quantitative trait locus enhances soybean 100-seed weight. Molecular Plant, 2017, 10:670-684.

Gu Y Z, Li W, Jiang H W, et al. Differential expression of a WRKY gene between wild and cultivated soybeans correlates to seed size. Journal of Experimental Botany, 2017, 68(11):2717-2729.

Gao J, Yang S, Cheng W, et al. GmILPA1, encoding an APC8-like protein, controls leaf petiole angle in soybean. Plant Physiology, 2017, 174 (2):1167-1176.

Zhou Z, Jiang Y, Wang Z, et al. Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean. Nature Biotechnology, 2015, 33:408-414.

Li Q, Lu X, Song Q, et al. Selection for a Zinc-Finger protein contributes to seed oil increase during soybean domestication. Plant Physiology, 2017, 173 (4):2208-2224.

Zhao M, Gu Y Z, He L, et al. Sequence and expression variations suggest an adaptive role for the DA1-like gene family in the evolution of soybeans. BMC Plant Biology, 2015, 15(1):120.

Fang C, Li C, Li W, et al. Concerted evolution of D1 and D2 to regulate chlorophyll degradation in soybean. Plant Journal, 2014, 77:700-712.

Zhao M, He L L, Gu Y Z, et al. Genome-wide analyses of a plantspecific LIM-domain gene family implicate its evolutionary roles in plant diversification. Genome Biology and Evolution, 2014, 6(4):1000-1012.

Wang Z, Zhou Z, Liu Y, et al. Fnctional evolution of phosphatidylethanolamine-binding proteins in soybean and Arabidopsis. Plant Cell, 2015, 27:323-336.

Gu Y Z, Xing S L, He C Y. Genome-wide analysis indicates lineage-specific gene loss during papilionoideae evolution. Genome Biology and Evolution, 2016, 8(3):635-648.

Wang Y, Gu Y Z, Gao H H, et al. Molecular and geographic evolutionary support for the essential role of GIGANTEAa in soybean domestication of flowering time. BMC Evolutionary Biology, 2016, 16:79.

Li Q, Fang C, Duan Z, et al. Functional conservation and divergence of GmCHLI genes in polyploidsoybean. Plant Jorunal, 2016, 88:584-596.

Fang C, Ma Y, Wu S, et al. Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean. Genome Biology, 2017, 18:161-174.

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