Quantitative proteomic analyses identified multiple sugar metabolic proteins in soybean under shade stress

Li, Yan; Jiang, Hengke; Sun, Xin; Muhammad, Ahsan Asghar; Liu, Jiang; Liu, Weiguo; Shu, Kai; Shang, Jing; Yang, Feng; Wu, Xiaoling; Yong, Taiwen; Wang, Xiaochun; Liu, Yu; Liu, Chunyan; Yang, Wenyu; Du, Junbo

doi:10.1093/jb/mvy103

Cited by 9 publications

(5 citation statements)

References 36 publications

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“…Moreover, we used Wolfpsort, a subcellular localization tool, to predict the subcellular localization of the proteins ( Horton et al., 2007 ). The DEPs with a P-value of < 0.05 and a fold change of > 1.3 were considered significantly up-regulated, while those with a P-value of < 0.05 and a fold change of < 1/1.3 were considered significantly down-regulated( Li et al., 2018 ). The DEPs were searched against the STRING database (version 10.1) for protein-protein interactions (confidence score>0.7) ( Szklarczyk et al., 2014 ), and the COG/KOG protein functional annotation was conducted using KOG sequence alignment in the NCBI database.…”

Section: Methodsmentioning

confidence: 99%

Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses

Liu,

Zhao,

Huang

et al. 2023

Front. Plant Sci.

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Drought is among the most common abiotic constraints of crop growth, development, and productivity. Integrating different omics approaches offers a possibility for deciphering the metabolic pathways and fundamental mechanisms involved in abiotic stress tolerance. Here, we explored the transcriptional and post-transcriptional changes in drought-stressed tomato plants using transcriptomic and proteomic profiles to determine the molecular dynamics of tomato drought stress responses. We identified 22467 genes and 5507 proteins, among which the expression of 3765 genes and 294 proteins was significantly changed under drought stress. Furthermore, the differentially expressed genes (DEGs) and differentially abundant proteins (DAPs) showed a good correlation (0.743). The results indicated that integrating different omics approaches is promising in exploring the multilayered regulatory mechanisms of plant drought resistance. Gene ontology (GO) and pathway analysis identified several GO terms and pathways related to stress resistance, including response to stress, abiotic stimulus, and oxidative stress. The plant hormone abscisic acid (ABA) plays pivotal roles in response to drought stress, ABA-response element binding factor (AREB) is a key positive regulator of ABA signaling. Moreover, our analysis indicated that drought stress increased the abscisic acid (ABA) content, which activated AREB1 expression to regulate the expression of TAS14, GSH-Px-1, and Hsp, ultimately improving tomato drought resistance. In addition, the yeast one-hybrid assay demonstrated that the AREB1 could bind the Hsp promoter to activate Hsp expression. Thus, this study involved a full-scale analysis of gene and protein expression in drought-stressed tomato, deepening the understanding of the regulatory mechanisms of the essential drought-tolerance genes in tomato.

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Section: Methodsmentioning

confidence: 99%

Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses

Liu,

Zhao,

Huang

et al. 2023

Front. Plant Sci.

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“…Intracellular reactive oxygen species (ROS) facilitated the degradation of cell wall polysaccharides (Duan & Kasper, 2011) and promoted cell wall loosening, leading to soybean stem elongation and growth (Li et al, 2018). Red-light exposure upregulated the expression of proteins involved in ROS scavenging in Nannochloropsis oceanica (Wei et al, 2020) and reduced H 2 O 2 concentrations in the leaves of Arabidopsis (Mirzahosseini et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Hypocotyl is an ideal model for studying the response of plant stem to light exposure due to its high sensitivity to light signals (Falcioni et al, 2019;Samimy, 1978;Kato-Noguchi & Kasai, 1991;Mazzella et al, 1997;Boron & Vissenberg, 2014;Hu et al, 2021). Proteomics and metabolomics are effective tools for identifying DEPs, DEMs, and related pathways (Li et al, 2018;Wei et al, 2020;Mirzahosseini et al, 2020;Liu et al, 2019;Fan et al, 2018;Yates et al, 2009;Ryan & Robards, 2006). Using the Heinong 48 soybean variety as an experimental material Shan et al, 2021), this research integrated an tandem mass tag (TMT)-based proteomics and untargeted metabolomics approach to identify and analyze DEPs and DEMs in soybean hypocotyls between plants under darkness and red light.…”

Section: Introductionmentioning

confidence: 99%

Integrated proteomics and metabolomics analysis reveals the pathways of red light regulating soybean hypocotyl elongation and thickening

wang,

qiu,

chen

et al. 2024

Preprint

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Red light, an important light environmental signal regulating plant stem growth and development. Using proteomics and metabolomics approaches, this study investigated differentially expressed proteins (DEPs) and differentially expressed metabolites (DEMs) in soybean hypocotyls between soybean plants under darkness and red-light conditions, which elucidated the pathways underlying the regulatory effects of red light on soybean hypocotyl growth. The results revealed that red light can inhibit hypocotyl elongation and increase the hypocotyl diameter of soybean. Red light inhibited hypocotyl elongation mainly by enhancing the firmness of the cell wall. On the one hand, red light promoted the expression of enzymes related to the conversion of serine and threonine to glycine, decreased the level of intracellular reactive oxygen species, and then reduced the degradation of cell wall polysaccharides. On the other hand, by enhancing the expression of enzymes related to the lignin monomer synthetic pathway, red light promoted the synthesis of lignin monomers to strengthen the cell wall. Meanwhile, red light promoted hypocotyl thickening mainly by upregulating the expression of aminocyclopropanecarboxylate oxidase, promoting the accumulation of ethylene precursors (S-Methyl-5’-thioadenosine and 1-aminocyclopropane-1-carboxylic acid), and accelerating ethylene synthesis. This study provided a theoretical basis for using light to regulate soybean stem growth.

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“…The accumulation of carbohydrates increases the stem strength of soybean, while the degradation of nonstructural carbohydrates weakens the stem strength and reduces the lodging resistance index of soybean [ 5 , 18 ]. Shading can lead to the rapid consumption of starch and sucrose in soybean stem tips, significantly reduce the cellulose content in stems, increase the plant height of soybean seedlings, and reduce the lodging resistance of stems [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…The hypocotyl is very sensitive to light [ 21 , 26 , 27 , 33 , 34 , 35 ]. It is possible to identify differential proteins, metabolites, and related pathways using proteomics and metabolomics [ 20 , 36 , 37 , 38 ]. Therefore, in this study, the Chinese soybean plant Heinong 48 was used as experimental material, and the differential expression proteins and metabolites in soybean hypocotyl under blue light treatment were identified and analyzed by combining Tandem mass tag (TMT) quantitative proteomics with non-targeted metabolomics technology.…”

Section: Introductionmentioning

confidence: 99%

Blue Light Regulates Cell Wall Structure and Carbohydrate Metabolism of Soybean Hypocotyl

Wang

Chen

Cui

et al. 2023

IJMS

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Soybean stem elongation and thickening are related to cell wall composition. Plant morphogenesis can be influenced by blue light, which can regulate cell wall structure and composition, and affect stem growth and development. Here, using proteomics and metabolomics, differentially expressed proteins and metabolites of hypocotyls grown in the dark and under blue light were studied to clarify the effects of blue light on the cell wall structure and carbohydrate metabolism pathway of soybean hypocotyls. Results showed that 1120 differential proteins were upregulated and 797 differential proteins were downregulated under blue light treatment, while 63 differential metabolites were upregulated and 36 differential metabolites were downregulated. Blue light promoted the establishment of cell wall structure and composition by regulating the expression of both the enzymes and metabolites related to cell wall structural composition and nonstructural carbohydrates. Thus, under blue light, the cross-sectional area of the hypocotyl and xylem were larger, the longitudinal length of pith cells was smaller, elongation of the soybean hypocotyl was inhibited, and diameter was increased.

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Quantitative proteomic analyses identified multiple sugar metabolic proteins in soybean under shade stress

Cited by 9 publications

References 36 publications

Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses

Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses

Integrated proteomics and metabolomics analysis reveals the pathways of red light regulating soybean hypocotyl elongation and thickening

Blue Light Regulates Cell Wall Structure and Carbohydrate Metabolism of Soybean Hypocotyl

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