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. 2021 Apr 16;16(4):e0248207.
doi: 10.1371/journal.pone.0248207. eCollection 2021.

Sodium nitroprusside application improves morphological and physiological attributes of soybean (Glycine max L.) under salinity stress

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Sodium nitroprusside application improves morphological and physiological attributes of soybean (Glycine max L.) under salinity stress

Zahra Jabeen et al. PLoS One. .

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Abstract

Salinity is among the major abiotic stresses negatively affecting the growth and productivity of crop plants. Sodium nitroprusside (SNP) -an external nitric oxide (NO) donor- has been found effective to impart salinity tolerance to plants. Soybean (Glycine max L.) is widely cultivated around the world; however, salinity stress hampers its growth and productivity. Therefore, the current study evaluated the role of SNP in improving morphological, physiological and biochemical attributes of soybean under salinity stress. Data relating to biomass, chlorophyll and malondialdehyde (MDA) contents, activities of various antioxidant enzymes, ion content and ultrastructural analysis were collected. The SNP application ameliorated the negative effects of salinity stress to significant extent by regulating antioxidant mechanism. Root and shoot length, fresh and dry weight, chlorophyll contents, activities of various antioxidant enzymes, i.e., catalase (CAT), superoxide dismutase (SOD), peroxidase (POD) and ascorbate peroxidase (APX) were improved with SNP application under salinity stress compared to control treatment. Similarly, plants treated with SNP observed less damage to cell organelles of roots and leaves under salinity stress. The results revealed pivotal functions of SNP in salinity tolerance of soybean, including cell wall repair, sequestration of sodium ion in the vacuole and maintenance of normal chloroplasts with no swelling of thylakoids. Minor distortions of cell membrane and large number of starch grains indicates an increase in the photosynthetic activity. Therefore, SNP can be used as a regulator to improve the salinity tolerance of soybean in salt affected soils.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1
Analysis of MDA content in leaves and roots (a, b) and chlorophyll contents (c, d) of treated and control plants of soybean. Data are means ± SD calculated from three replicates.
Fig 2
Fig 2
Activities of SOD, CAT and POD content in leaves (a, c, e) and roots (b, d, f) of treated and control soybean plant. Data are means ± SD calculated from three replicates.
Fig 3
Fig 3
Activities of APX, PPO and PAL content in leaves (a, c, e) and roots (b, d, f) of treated and control soybean plant. Data are means ± SD calculated from three replicates.
Fig 4
Fig 4
Correlation matrix of (a) root and (b) leave of biochemical and physiological traits of different treatments. The name of the parameters was presented on diagonal line. The upper side of the figure depicted correlation coefficient and the lower side of figure showed the bivariate.
Fig 5
Fig 5
Transmission electron micrographs of chloroplast (a, d, g, j), mesophyll cells (b, e, h, k) and root (c, f, i, l) of control and treated plants. Bar = 0.5μm, 1μm and 2μm.

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