Proteome characterization of two contrasting soybean genotypes in response to different phosphorus treatments

Abstract

Phosphorus (P) is an essential element for the growth and development of plants. Soybean (Glycine max) is an important food crop that is grown worldwide. Soybean yield is significantly affected by P deficiency in the soil. To investigate the molecular factors that determine the response and tolerance at low-P in soybean, we conducted a comparative proteomics study of a genotype with low-P tolerance (Liaodou 13, L13) and a genotype with low-P sensitivity (Tiefeng 3 , T3) in a paper culture experiment with three P treatments i.e., P-free (0 mmol·L -1), low-P (0.05 mmol·L -1), and normal-P (0.5 mmol·L -1). A total of 4,126 proteins were identified in roots of the two genotypes. Increased numbers of differentially expressed proteins (DEPs) were obtained from low-P to P-free conditions compared to the normal P treatment. All DEPs obtained in L13 (660) were up-regulated in response to P deficiency, while most DEPs detected in T3 (133) were down-regulated under P deficiency. Important metabolic pathways such as oxidative phosphorylation, glutathione metabolism and carbon metabolism were suppressed in T3, which could have affected the survival of the plants in P-limited soil. In contrast, L13 increased the metabolic activity in the 2-oxocarboxylic acid metabolism, carbon metabolism, glycolysis, biosynthesis of amino acids, pentose phosphatase, oxidative phosphorylation, other types of O-glycan biosynthesis and riboflavin metabolic pathways in order to maintain normal plant growth under P deficiency. Three key proteins (I1KW20 (prohibitins), I1K3U8 (alpha amylase inhibitors), and C6SZ93 (alpha amylase inhibitors) were suggested as potential biomarkers for screening soybean genotypes with low P tolerance. Overall, this study provides new insights into the response and tolerance to P deficiency in soybean.

Characterization of Root System Architecture Traits in Diverse Soybean Genotypes Using a Semi-Hydroponic System

“…Studies have investigated crop growth and yield constraints, and there is increasing interest in soybean varieties with suitable root systems to effectively use resources and improve yield [3][4][5]. Plant root systems play an essential role in water and nutrient acquisition, and they can perceive and respond to various edaphic stresses before other plant organs, such as drought, waterlogging, salinity, and soil infertility [6][7][8][9][10][11][12][13].…”

Proteomic Analysis Dissects Molecular Mechanisms Underlying Plant Responses to Phosphorus Deficiency

“…Additionally, accumulations of cell proliferation-related proteins, including GTP-binding nuclear protein RAN-B1 (Ran GTPase), cell division cycle protein 48 (CDC48), and mini-chromosome maintenance protein 6 (MCM6), were increased by Pi starvation in maize [ 19 , 31 ]. Contrastingly, an increased abundance of actin and tubulin was observed in plants in response to low-P stress in plants, including soybean, maize, rice, and barley, while decreased abundance was observed in Arabidopsis [ 19 , 23 , 31 , 35 , 36 ]. Interestingly, a loss of rmd mutant, encoding a rice actin-binding protein, exhibited steeper growth angles for crown roots in rice, strongly suggesting that cell proliferation-related proteins could play a role in root growth [ 104 ].…”

Proteome Analysis of the Soybean Nodule Phosphorus Response Mechanism and Characterization of Stress-Induced Ribosome Structural and Protein Expression Changes

“…In order to adapt to low-phosphorus stress, plants have evolved various mechanisms to tolerate low-phosphorus conditions that involve the induction of huge changes in gene and protein expression patterns ( Lin et al, 2010 ; Zhang et al, 2014 ; O’Rourke et al, 2020 ; Zhao et al, 2021 ). Importantly, the phosphate starvation response (PHR) transcription factor is the central regulatory factor that directly or indirectly regulates activities of low-phosphorus response genes (phosphate stress induced genes, PSI genes) within the low-phosphorus regulatory network ( Nilsson et al, 2007 ; Zhou et al, 2008 ; Lu et al, 2020 ).…”