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24 August 2017 Comparative proteomic analysis of drought response in roots of two soybean genotypes
Xingwang Yu, Aijun Yang, Andrew T. James
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Abstract

Water deficit is a serious environmental stress during the soybean growth and production season in Australia. Soybean has evolved complex response mechanisms to cope with drought stress through multiple physiological processes. In this study, the roots of a previously identified drought-tolerant soybean genotype, G21210, and a sensitive genotype, Valder, were subjected to comparative proteomic analysis based on 2-dimensional electrophoresis, under mild or severe drought conditions. The analysis showed that the abundance of 179 protein spots significantly changed under stress. In total, 155 unique proteins were identified from these spots, among which 70 protein spots changed only in G2120 and 89 spots only in Valder, with 20 proteins changed in both soybean genotypes. Bioinformatics analysis revealed that these drought-induced changes in proteins were largely enriched in the biological function categories of defence response, protein synthesis, energy metabolism, amino acid metabolism and carbohydrate metabolism. For the drought-tolerant genotype, the differential abundance was decreased for 24 proteins and increased for 46 proteins. For the drought-sensitive genotype, the abundance was reduced for 46 proteins, increased for 40 proteins and changed differently for three proteins in mild and severe drought. The different patterns of change of these proteins in G2120 and Valder might be attributed to the difference in their drought-tolerance capacity. This study, combined with our previously reported proteomics study in soybean leaves, further clarifies the change in proteins under drought stress in different organs and provides a better understanding of the molecular mechanisms under drought stress in soybean production.

© CSIRO 2017
Xingwang Yu, Aijun Yang, and Andrew T. James "Comparative proteomic analysis of drought response in roots of two soybean genotypes," Crop and Pasture Science 68(7), 609-619, (24 August 2017). https://doi.org/10.1071/CP17209
Received: 6 June 2017; Accepted: 1 July 2017; Published: 24 August 2017
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