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Changes in the Metabolome of Two Soybean Genotypes under Drought Stress

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Abstract

Soybean is the world’s leading economic oilseed crop. Drought stress is a major constraint on the growth and yield stability of soybean. Here, wild soybean (Glycine soja Siebold & Zucc.) was found to be more drought tolerant than cultivated soybean (Glycine max (L.) Merr.) owing to morphological changes at the whole-plant level when subjected to 5% PEG-6000 treatment. Additionally, differential metabolites between two soybean genotypes seedlings leaves were analyzed at the cellular level using a gas chromatography-mass spectrometry-based metabolomics method. The root lengths of wild soybean increased and a high root/shoot ratio was maintained under drought stress conditions. In addition, the drought tolerance of wild soybean resulted from significantly greater levels of favorable metabolites, such as aromatic and serine family amino acids, as well as sugar and polylols involved in mannose and galactose metabolism, favorable secondary metabolites, and organic and fatty acids compared with cultivated soybean. At the same time, wild soybeans could maintain a stable TCA cycle and significantly enhance glycolysis to produce more energy and enhance the phosphate pentose pathway to create more reducing power. Our experimental results provide an important reference for the breeding of wild soybeans in arid environments, as well as methodological for utilizing wild soybeans and improving cultivated soybeans.

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REFERENCES

  1. Raorane, M.L., Pabuayon, I.M., Miro, B., Kalladan, R., Reza-Hajirezai, M., Oane, R.H., Kohli, A., Sreenivasulu, N., Henry, A., and Kohli, A., Variation in primary metabolites in parental and nearisogenic lines of the QTL qDTY12.1: altered roots and flag leaves but similar spikelets of rice under drought, Mol. Breed., 2015, vol. 35, p. 138.

    Article  Google Scholar 

  2. Li, M.X., Xu, J.S., Wang, X.X., Fu, H., Zhao, M.L., Wang, H., and Shi, L.X., Photosynthetic characteristics and metabolic analyses of two soybean genotypes revealed adaptive strategies to low-nitrogen stress, J. Plant Physiol., 2018, vol. 229, p. 132.

    Article  CAS  Google Scholar 

  3. Yu, X.W., Yang, A.J., and James, A.T., Comparative proteomic analysis of drought response in roots of two soybean genotypes, Crop Pasture Sci., 2017, vol. 68, p. 609.

    Article  CAS  Google Scholar 

  4. Silvente, S., Sobolev, A.P., and Lara, M., Metabolite adjustments in drought tolerant and sensitive soybean genotypes in response to water stress, PLoS One, 2012, vol. 7: e38554.

    Article  CAS  Google Scholar 

  5. Jiao, Y., Bai, Z.Z., Xu, J.Y., Zhao, M.L., Khan, Y., Hu, Y.J., and Shi, L.X., Metabolomics and its physiological regulation process reveal the salt-tolerant mechanism in Glycine soja seedling roots, Plant Physiol. B-iochem., 2018, vol. 126, p. 187.

    Article  CAS  Google Scholar 

  6. Yang, D.S., Zhang, J., Li, M.X., and Shi, L.X., Metabolomics analysis reveals the salt-tolerant mechanism in Glycine soja,J. Plant Growth Regul., 2017, vol. 36, p. 460.

    Article  CAS  Google Scholar 

  7. Li, M.X., Xu, J., Guo, R., Liu, Y., Wang, S.Y., Wang, H., Ullah, A., and Shi, L.X., Identifying the metabolomics and physiological differences among Soja in the early flowering stage, Plant Physiol. Biochem., 2019, vol. 139, p. 82.

    Article  CAS  Google Scholar 

  8. Kind, T., Wohlgemuth, G., Lee, D.Y., Lu, Y., Palazoglu, M., Shahbaz, S., and Fiehn, O., FiehnLib: mass spectral and retention index libraries for metabolomics based on quadrupole and time-of-flight gas chromatography/mass spectrometry, Anal. Chem., 2009, vol. 81, p. 10038.

    Article  CAS  Google Scholar 

  9. Zhang, J., Yang, D., Li, M.X., and Shi, L.X., Metabolic profiles reveal changes in wild and cultivated soybean seedling leaves under salt stress, PLoS One, 2016, vol. 11: e0159622.

    Article  Google Scholar 

  10. Lobato, A.K.D.S., Neto, C.F.D.O., Filho, B.G.D.S., Costa, R.C.L.D., Cruz, F.J.R., Neves, H.K.B., and Lopes, M.J.D.S., Physiological and biochemical behavior in soybean (Glycine max cv. Sambaiba) plants under water deficit, Aust. J. Crop Sci., 2008, vol. 2, p. 25.

    CAS  Google Scholar 

  11. Gargallo-Garriga, A., Sardans, J., Pérez-Trujillo, M., Rivas-Ubach, A., Oravec, M., Vecerova, K., Urban, O., Jentsch, A., Kreyling, J., Beierkuhnlein, C., Parella, T., and Penuelas, J., Opposite metabolic responses of shoots and roots to drought, Sci. Rep. UK, 2014, vol. 4: 6829.

    Article  CAS  Google Scholar 

  12. Du, B., Jansen, K., Kleiber, A., Eiblmeier, M., Kammerer, B., Ensminger, I., Gessler, A., Rennenberg, H., and Kreuzwieser, J., A coastal and an interior Douglas fir provenance exhibit different metabolic strategies to deal with drought stress, Tree Physiol., 2015, vol. 36, p. 148.

    PubMed  Google Scholar 

  13. Kishor, P.B.K., Sangam, S., Amrutha, R.N., Laxmi, P.S., Naidu, K.R., Rao, K.R.S.S., Rao, S., Reddy, K.J., Theriappan, P., and Sreenivasulu, N., Regulation of proline biosynthesis, degradation, uptake and transport in higher plants: its implications in plant growth and abiotic stress tolerance, Curr. Sci. India, 2005, vol. 88, p. 424.

    CAS  Google Scholar 

  14. Traub, J., Kelly, J.D., and Loescher, W., Early metabolic and photosynthetic responses to drought stress in common and tepary bean, Crop Sci., 2017, vol. 57, p. 1670.

    Article  CAS  Google Scholar 

  15. Stoop, J.M.H., Williamson, J.D., and Pharr, D.M., Mannitol metabolism in plants: a method for coping with stress, Trends Plant Sci., 1996, vol. 5, p. 139.

    Article  Google Scholar 

  16. Loewus, F.A. and Murthy, P.P., Myo-inositol metabolism in plants, Plant Sci., 2000, vol. 150, p. 19.

    Article  Google Scholar 

  17. Li, F., Lei, H.J., Zhao, X.J., Tian, R.R., and Li, T., Characterization of three sorbitol transporter genes in micropropagated apple plants grown under drought stress, Plant Mol. Biol. Rep., 2012, vol. 30, p. 123.

    Article  CAS  Google Scholar 

  18. Guo, R., Shi, L.X., Jiao, Y., Li, M.X., Zhong, X.L., Gu, F.X., Liu, Q., Xia, X., and Li, H.R., Metabolic responses to drought stress in the tissues of drought-tolerant and drought-sensitive wheat genotype seedlings, AoB Plants, 2018, vol. 10: ply016.

    Article  Google Scholar 

  19. Gao, Y., Guo, D.L., and Guo, C.H., Role of trienoic fatty acids in higher plants stress responses, Mol. Plant Breed., 2010, vol. 8, p. 365.

    CAS  Google Scholar 

  20. Bourgaud, F., Gravot, A., Milesi, S., and Gontier, E., Production of plant secondary metabolites: a historical perspective, Plant Sci., 2001, vol. 161, p. 839.

    Article  CAS  Google Scholar 

  21. Kleinwächter, M. and Selmar, D., Influencing the product quality by deliberately applying drought stress during the cultivation of medicinal plants, Ind. Crop Prod., 2013, vol. 42, p. 558.

  22. Warleta, F., Campos, M., Allouche, Y., Sánchez-Quesada, C., Ruiz-Mora, J., Beltrán, G., and Gaforio, J.J., Squalene protects against oxidative DNA damage in MCF10A human mammary epithelial cells but not in MCF7 and MDA-MB-231 human breast cancer cells, Food Chem. Toxicol., 2010, vol. 48, p. 1092.

    Article  CAS  Google Scholar 

  23. Jiang, Z.Z. and Chen, X.W., Effect of salicylic acid on drought resistance of three rinds of shrub seedlings, J. Soil Water Conserv., 2004, vol. 18, p. 166.

    Google Scholar 

  24. Zhang, C.Z., Wang, X., Zhang, F., Dong, L.D., Wu, J.J., Cheng, Q., Qi, D.Y., Yan, X.F., Jiang, L.Y., Fan, S.J., Li, N.H., Li, D.M., Xu, P.F., and Zhang, S.Z., Phenylalanine ammonia-lyase2.1 contributes to the soybean response towards Phytophthora sojae infection, Sci. Rep. UK, 2017, vol. 7: 7242.

    Article  Google Scholar 

  25. Huang, J.L., Gu, M., Lai, Z.B., Fan, B.F., Shi, K., Zhou, Y.H., Yu, J.Q., and Chen, Z.X., Functional analysis of the Arabidopsis PAL gene family in plant growth, development, and response to environmental stress, Plant Physiol., 2010, vol. 153, p. 1526.

    Article  CAS  Google Scholar 

  26. Becerra-Morena, A., Redondo-Gil, M., Benavides, J., Nair, V., Cisneros-Zevallos, L., and Jacobo-Velázquez, D.A., Combined effect of water loss and wounding stress on gene activation of metabolic pathways associated with phenolic biosynthesis in carrot, Front. Plant Sci., 2015, vol. 6: 837.

    Google Scholar 

  27. Zhang, A., Fang, Y., Wang, H., Li, H., and Zhang, Z., Free-radical scavenging properties and reducing power of grape cane extracts from 11 selected grape cultivars widely grown in China, Molecules, 2011, vol. 16, p. 10104.

    Article  CAS  Google Scholar 

  28. Das, A., Rushton, P.J., and Rohila, J.S., Metabolomic profiling of soybeans (Glycine max L.) reveals the importance of sugar and nitrogen metabolism under drought and heat stress, Plants (Basel), 2017, vol. 6: 21.

    Article  Google Scholar 

  29. Dhiman, A., Nanda, A., and Ahmad, S., A quest for staunch effects of flavonoids: utopian protection against hepatic ailments, Arab. J. Chem., 2016, vol. 9, p. S1813.

    Article  CAS  Google Scholar 

  30. Hou, F.Y., Huang, J., Yu, S.L., and Zhang, H.S., The 6-phosphogluconate dehydrogenase genes are responsive to abiotic stresses in rice, J. Integr. Plant Biol., 2010, vol. 49, p. 655.

    Article  Google Scholar 

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ACKNOWLEDGMENTS

We thank Jilin Academy of Agriculture Science for kindly helping to provide soybean seeds.

Funding

This work was supported by the National Natural Science Foundation of China (project no. 31870278) and Collaborative Innovation of Scientific and Technological of Chinese Academy of Agricultural Sciences.

Author information

Authors and Affiliations

  1. Institute of Grassland Science, Northeast Normal University, Key Laboratory of Vegetation Ecology, Ministry of Education, 130024, Changchun, China

    H. Fu, W. Y. Shen, M. X. Li, Y. Liu, M. L. Zhao, X. X. Wang, X. Y. Liu, S. Y. Wang & L. X. Shi

  2. Key Laboratory of Dryland Agriculture, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, 100081, Beijing, China

    R. Guo

Authors
  1. H. Fu
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  2. R. Guo
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  3. W. Y. Shen
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  4. M. X. Li
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  5. Y. Liu
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  6. M. L. Zhao
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  10. L. X. Shi
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Contributions

H. Fu, R. Guo and L.X. Shi designed the research; H. Fu, R. Guo, M.X. Li and Y. Liu performed the research; M.L. Zhao and X.X. Wang provided experimental assistance to H. Fu; M.L. Zhao, X.X. Wang, S.Y. Wang and X.Y. Liu analyzed the data; H. Fu, R. Guo, M.X. Li, W.Y. Shen and L.X. Shi wrote the article. All authors reviewed the manuscript.

Corresponding authors

Correspondence to R. Guo or L. X. Shi.

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The authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human participants as objects of research.

Additional information

Abbreviations: CK—control treatment; DS—drought stress; M—cultivated soybean; PC1—the first principal component; PC2— the second principal component; PPP—pentose phosphate pathway; W—wild soybean.

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Fu, H., Guo, R., Shen, W.Y. et al. Changes in the Metabolome of Two Soybean Genotypes under Drought Stress. Russ J Plant Physiol 67, 472–481 (2020). https://doi.org/10.1134/S1021443720030085

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  • DOI: https://doi.org/10.1134/S1021443720030085

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