Dataset Information

Integrated transcriptome, proteome and metabolome analyses revealed secondary metabolites and auxiliary carbohydrate metabolism augmenting drought tolerance in rice

ABSTRACT: This study was aimed to deal with a comparative proteome analysis of the two rice genotypes with contrasting response to drought stress, N22 (drought-tolerant, DT) and IR64 (drought-sensitive, DS). Proteins were extracted from the root tissues collected from the control and drought stressed plants of both the genotypes. NanoLC-MS/MS analysis of the protein sample was performed using EASY-nLC 1000 system for the separation and identification of peptides/proteins. This study provided a mechanistic insight of drought stress tolerance in rice.

INSTRUMENT(S):

ORGANISM(S): Oryza Sativa (rice)

TISSUE(S): Plant Cell, Seedling

SUBMITTER: Mukesh Jain

LAB HEAD: Mukesh Jain

PROVIDER: PXD042392 | Pride | 2026-07-22

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 14

Similar Datasets

Project description:Abiotic stresses—such as drought, salinity, and alkalinity severely limit global lentil production by impairing physiological processes including osmolytes accumulation, chlorophyll synthesis, H2O2 production and antioxidant activities. However, no proteomic signature studies have dissected the molecular mechanisms underlying tolerance to drought, salinity and alkalinity in lentil. In this study, proteomic profiling revealed differentially abundant proteins (DAPs) distinguishing tolerant from sensitive lines under multiple abiotic stress conditions including drought, salinity and alkalinity. Furthermore, the aforementioned physiological traits were phenotyped to compare the responses of tolerant versus sensitive genotypes toward these stresses. By integrating proteomics and physiological analyses, this study provides new insights into the physiological and molecular regulatory mechanisms of lentil in response to multiple abiotic stresses.Physiological analysis revealed genotypic differences in osmolyte regulation, chlorophyll content, H2O2 production and antioxidant activities. Ultra performance liquid chromatography with tandem mass spectrometery (UPLC-MS/MS) analysis identified 707 differentially abundant proteins (DAPs) between tolerant v/s sensitive genotypes across stresses, with 283, 213 and 211 DAPs under drought, salinity and alkalinity, respectively. Ninety-five DAPs involved in protein biogenesis, cellular transport, photosynthesis, RNA regulation, defense and detoxification were common across stresses. Proteomic findings were validated by quantitative real-time polymerase chain reaction (qRT-PCR) of five DAPs at 1, 2 and 3 days post-stress. Functional annotation revealed enrichment in photosynthesis/energy metabolism, transcription/translational, protein folding/degradation, and antioxidative defense. Integrative transcriptomic and proteomic analysis highlighted superoxide dismutase and monodehydroascorbate reductase as central components of antioxidative defense. This represents the first proteomics study of lentil seedling response toward drought, salinity and alkalinity stresses.The differential abundance of proteins involved in varied regulatory pathways suggests a wide, yet complex network of proteins mediating lentil’s metabolic adaptation to drought, salinity and alkalinity stresses. Proteins identified in this study will provide new insight to lentil’s interconnected regulatory mechanisms against abiotic stresses.

			Action	DRS
	IR64CT1.raw	Raw
	IR64CT2.raw	Raw
	IR64CT3.raw	Raw
	IR64DS1.raw	Raw
	IR64DS2.raw	Raw

Dataset Information

Integrated transcriptome, proteome and metabolome analyses revealed secondary metabolites and auxiliary carbohydrate metabolism augmenting drought tolerance in rice

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets