Physiological and multi-omics profiling uncovers the sulfur tolerance mechanism in Tamarix ramosissima

Tamarix ramosissima, a xerophytic shrub with significant ecological-economic value, exhibits marked soil sulfur (S) accumulation capacity, yet its shoot transcriptional-metabolic responses to varying S levels remain uncharacterized. This study integrates physiological, transcriptomic, and metabolomi...

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書目詳細資料
發表在:Environmental and Experimental Botany
Main Authors: Ruiqi Zheng, Tingting Zhang, Shaoming Wang, Mohsin Tanveer, Xiang Shi, Lei Wang
格式: Article
語言:英语
出版: Elsevier 2025-11-01
主題:
在線閱讀:http://www.sciencedirect.com/science/article/pii/S0098847225001819
實物特徵
總結:Tamarix ramosissima, a xerophytic shrub with significant ecological-economic value, exhibits marked soil sulfur (S) accumulation capacity, yet its shoot transcriptional-metabolic responses to varying S levels remain uncharacterized. This study integrates physiological, transcriptomic, and metabolomic analyses to investigate S-mediated adaptation mechanisms in T. ramosissima cuttings. High S exposure significantly inhibited growth and induced oxidative stress, evidenced by reduced activities of antioxidant enzymes (SOD, CAT, APX), increased malondialdehyde (MDA) and glutathione (GSH, GSSG) levels, and decreased ascorbic acid (AsA, DHA) content. Transcriptome analysis identified key S-responsive pathways, including secondary metabolism and signal transduction, with differential expression of genes encoding POD, GR, GST, and photosystem proteins. Metabolome profiling quantified 489 differentially accumulated metabolites, primarily flavonoids, phenolic acids, and alkaloids. Crucially, integrative multi-omics analysis revealed that phenylpropanoid biosynthesis and plant hormone signal transduction were the core pathways significantly enriched at both the transcript and metabolite levels. This study elucidates the complex molecular networks underlying sulfur tolerance and accumulation in T. ramosissima, deepening our understanding of plant adaptation in S-rich desert ecosystems.
ISSN:1873-7307