2011
DOI: 10.1007/s11105-011-0368-4
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Salinity-Induced Effects in the Halophyte Suaeda salsa Using NMR-based Metabolomics

Abstract: Suaeda salsa is a native halophyte in saline soils. Salinity is the most important environmental constraint for plant productivity in the Yellow River Delta. In this work, we investigated the salt-induced effects in root of S. salsa exposed to two environmentally relevant salinities for 1 week and 1 month using nuclear magnetic resonance-based metabolomics. Our results indicated that salt stress inhibited the growth of S. salsa and induced significant metabolic responses including decreased amino acids, lactat… Show more

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Cited by 14 publications
(5 citation statements)
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References 51 publications
(53 reference statements)
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“…7). This result is consistent with the metabolic profiles of the S. salsa response to salinity (Wu et al 2011). The down-regulation in these metabolites indicated that salinity induced disturbances in the TCA cycle.…”
Section: Discussionsupporting
confidence: 89%
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“…7). This result is consistent with the metabolic profiles of the S. salsa response to salinity (Wu et al 2011). The down-regulation in these metabolites indicated that salinity induced disturbances in the TCA cycle.…”
Section: Discussionsupporting
confidence: 89%
“…Polar metabolites were extracted from the leaves of S. corniculata using the solvent system of methanol/water (1/1), as described previously (Wu et al 2011). Six replicates were used for each treatment.…”
Section: Metabolite Extractionmentioning
confidence: 99%
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“…Increased levels of proline were previously documented in other crops too, i.e., rice [ 58 ] and maize [ 59 ], etc., which aligns with the findings of the present study. Wu et al [ 60 ] demonstrated that the contents of proline, allantoin, and sucrose were increased in Suaeda salsa , adjusting osmoregulation. Selaginella lepidophylla accumulated an abundant amount of allantoin in a state of dehydration, indicating a protective role in survival and recovery from stress [ 61 ].…”
Section: Discussionmentioning
confidence: 99%
“…The principal component score plots visualize oyster samples, and each dot in the principal component analysis figure stands for an individual oyster gill sample. The highest amount of correlated variation along the principal component 1 axis, together with subsequent principle components containing smaller amounts of variance, are calculated, based on the algorithm of principal component analysis .…”
Section: Methodsmentioning
confidence: 99%