Analyses of the proteomes of the leaf, hypocotyl, and root of young soybean seedlings.
TL;DR: The functions of organs in young soybean seedling were determined by means of proteomic analysis and sequence information obtained should be helpful in predicting the functions of unknown proteins.
Abstract: The functions of organs in young soybean seedling were determined by means of proteomic analysis. Extracts from leaves, hypocotyls, and roots were separated by two-dimensional polyacrylamide gel electrophoresis, and the proteins were identified by mass spectrometry and protein sequencing. The identified proteins were categorized into various groups according to their function. The leaf was abundant in proteins associated with energy production (50.0%), the hypocotyl was rich in defense proteins (31.8%), and the root contained defense-related proteins (16.7%) and destination and storage proteins (26.7%). Stem 31-kDa glycoprotein, 20 kDa chaperonin, 50S ribosomal protein, and trypsin inhibitor were common to all three tissues. The sequence information obtained from the soybean proteome should be helpful in predicting the functions of unknown proteins.
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TL;DR: A concise overview of the progress in legume proteomics is provided and future developments in three broad perspectives are discussed: (i) proteome of organs/tissues; (ii) subcellular compartments; and (iii) spatiotemporal changes in response to stress.
Abstract: Legumes are the major sources of food and fodder with strong commercial relevance, and are essential components of agricultural ecosystems owing to their ability to carry out endosymbiotic nitrogen fixation. In recent years, legumes have become one of the major choices of plant research. The legume proteomics is currently represented by more than 100 reference maps and an equal number of stress-responsive proteomes. Among the 48 legumes in the protein databases, most proteomic studies have been accomplished in two model legumes, soybean, and barrel medic. This review highlights recent contributions in the field of legume proteomics to comprehend the defence and regulatory mechanisms during development and adaptation to climatic changes. Here, we attempted to provide a concise overview of the progress in legume proteomics and discuss future developments in three broad perspectives: (i) proteome of organs/tissues; (ii) subcellular compartments; and (iii) spatiotemporal changes in response to stress. Such data mining may aid in discovering potential biomarkers for plant growth, in general, apart from essential components involved in stress tolerance. The prospect of integrating proteome data with genome information from legumes will provide exciting opportunities for plant biologists to achieve long-term goals of crop improvement and sustainable agriculture.
36 citations
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TL;DR: In this paper , the authors summarize the latest progress in omics research, highlight novel findings made possible by omics techniques, note current drawbacks and areas for further research, and suggest that an efficient multi-omics approach may accelerate soybean breeding in the future.
Abstract: Soybean is a major crop that provides essential protein and oil for food and feed. Since its origin in China over 5000 years ago, soybean has spread throughout the world, becoming the second most important vegetable oil crop and the primary source of plant protein for global consumption. From early domestication and artificial selection through hybridization and ultimately molecular breeding, the history of soybean breeding parallels major advances in plant science throughout the centuries. Now, rapid progress in plant omics is ushering in a new era of precision design breeding, exemplified by the engineering of elite soybean varieties with specific oil compositions to meet various end-use targets. The assembly of soybean reference genomes, made possible by the development of genome sequencing technology and bioinformatics over the past 20 years, was a great step forward in soybean research. It facilitated advances in soybean transcriptomics, proteomics, metabolomics, and phenomics, all of which paved the way for an integrated approach to molecular breeding in soybean. In this review, we summarize the latest progress in omics research, highlight novel findings made possible by omics techniques, note current drawbacks and areas for further research, and suggest that an efficient multi-omics approach may accelerate soybean breeding in the future. This review will be of interest not only to soybean breeders but also to researchers interested in the use of cutting-edge omics technologies for crop research and improvement.
11 citations
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TL;DR: Comparative proteomic analysis of the proteins extracted from the germinations treated with 0 or 0.1 µm MSM revealed a much greater number of proteins affected in the sulfonylurea-susceptible genotype than the tolerant type, indicating changed accumulation of many enzymes and proteins in these metabolic pathways in the susceptible genotype.
Abstract: Sulfonylurea herbicides have attracted renewed interest as an alternative for weed management and control of weed resistance in soybean production. In this proteomic study, we compared changes in the protein profiles in 10-day-old seedlings from a simple roll-paper germination method treated with 0.1 µm metsulfuron methyl (MSM), a compound from the sulfonylurea family. Seeds from susceptible or tolerant soybeans, four lines each, were treated with 0, 0.01, 0.1, 1 or 10 µm MSM and the number of normal seeds germinating was counted after 10 days. MSM at ≥0.1 µm significantly reduced normal germination in the sulfonylurea-susceptible group. Comparative proteomic analysis of the proteins extracted from the germinations treated with 0 or 0.1 µm MSM revealed a much greater number of proteins affected in the sulfonylurea-susceptible genotype than the tolerant type. From a total 227 protein spots with significant differential (>2-fold) accumulation, 142 unique proteins were identified. Functional analysis revealed that about one-third of these proteins were associated with metabolism, followed by energy (24.3%), defence–stress response (22.9%), and protein synthesis and storage (16.7%). Sulfonylurea herbicides, specifically MSM, greatly affected these metabolic pathways in the susceptible genotype through changed accumulation of many enzymes and proteins.
4 citations
Cites background from "Analyses of the proteomes of the le..."
...This enzyme was also not listed in a study of the proteome of young soybean seedlings (Afroz et al. 2010)....
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TL;DR: In this article, the suitability of four protein extraction protocols for plant proteome was investigated to determine the best choice for studies concerning passion fruit leaf proteins, including Trichloroacetic acid (TCA)/acetone extraction; isoelectric focusing (IEF) buffer extraction; phenol (Phe) extraction and Phe-SDS extraction.
Abstract: Passion fruit grows practically all over Brazilian territory; its production is largely destined to juice industry and expanding to overseas markets. The suitability of four protein extraction protocols for plant proteome was investigated to determine the best choice for studies concerning passion fruit leaf proteins. Trichloroacetic acid (TCA)/acetone extraction; isoelectric focusing (IEF) buffer extraction; phenol (Phe) extraction and Phe-SDS extraction were tested. The Phe method produced the best results, showing higher reproducibility of resolved protein spots and clearer 2D gel background staining. In comparison, the Phe-SDS method presented fewer spots and lower reproducibility. The TCA/acetone method produced the fewest identifiable spots and the IEF buffer produced the poorest results, displaying fewer reproducibly detected spots, more vertical streaks and darker 2D staining. Selected spots, obtained with Phe method, were identified by spectrometric analysis (MALDI-TOF-TOF) to exemplify the viability to perform more comprehensive proteomic studies with passion fruit leaves and, therefore increase information about stress-related and developmental responses in this fruit crop. Key words : Passion fruit, proteomic, protein extraction, juice industry.
2 citations
Cites background from "Analyses of the proteomes of the le..."
...A different type of extraction is accomplished by direct solubilization of proteins with IEF buffer (Kang et al., 2007; Afroz et al., 2010), once it contains the detergent CHAPS and chaotropic agents (for example, urea and thiourea)....
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