Metabolomics: An Emerging Technology for Soybean Improvement

Chaudhary, Juhi; Deshmukh, Rupesh; Mir, Zahoor Ahmad; Bhat, Javaid Akhter

doi:10.1007/978-3-319-92399-4_12

Cited by 12 publications

(8 citation statements)

References 48 publications

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“…Thus, Glycine soja is considered a gene source for improving the tolerance of cultivated species to biotic and abiotic stress [15,17]. Therefore, hybridization of Glycine max and Glycine soja could promote the development of new cultivated varieties with improved stress tolerance [18].…”

Section: Introductionmentioning

confidence: 99%

Metabolomic Variability of Different Soybean Genotypes: β-Carotene-Enhanced (Glycine max), Wild (Glycine soja), and Hybrid (Glycine max × Glycine soja) Soybeans

Jung

Park

et al. 2021

Foods

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We obtained a new hybrid soybean (Hybrid) by hybridizing β-carotene-enhanced soybean (BCE; Glycine max L.) containing the phytoene synthase-2A-carotene desaturase gene and wild-type soybean (Wild; Glycine soja). To investigate metabolic changes between variants, we performed metabolic profiling of leaves (three growth stages) and seeds. Multivariate analyses revealed significant metabolic differences between genotypes in seeds and leaves, with seeds showing accumulation of phytosterols, tocopherols, and carotenoids (BCE only), indicating co-induction of the methylerythritol 4-phosphate and mevalonic acid pathways. Additionally, Hybrid produced intermediate levels of carotenoids and high levels of amino acids. Principal component analysis revealed metabolic discrimination between growth stages of soybean leaves and identified differences in leaf groups according to different genotypes at 8, 12, and 16 weeks, with Wild showing higher levels of environmental stress-related compounds relative to BCE and Hybrid leaves. The metabolic profiling approach could be a useful tool to identify metabolic links in various soybean cultivars.

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Section: Introductionmentioning

confidence: 99%

Metabolomic Variability of Different Soybean Genotypes: β-Carotene-Enhanced (Glycine max), Wild (Glycine soja), and Hybrid (Glycine max × Glycine soja) Soybeans

Jung

Park

et al. 2021

Foods

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“…Soybean is the most important worldwide legume crop species worldwide owing to its agro-economic and nutritional value, serving as an essential source of protein and oils (40% and 21% content, respectively) for human consumption, livestock feed, industrial biofuel production, and functional foods [ 2 , 13 , 14 ]. Animal feed accounts for over 85 percent of global soybean protein meal production whereas the soybean crop is mostly farmed for oil production, with only a small percentage of soybeans consumed directly by humans.…”

Section: Introductionmentioning

confidence: 99%

“…Soybean oil is being developed and marketed as a future fuel source, with attempts being undertaken to enhance soybean-derived biodiesel output. In addition, there is ongoing research where soybean protein-based biodegradable materials are being explored to determine the potential as an alternative for plastic synthesis [ 13 ]. In addition, owing to the presence of these phytochemicals such as polyphenols and essential oils, soybean leaves have recently been employed in the cosmetics industry and food products [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Metabolomics as a Prospective Tool for Soybean (Glycine max) Crop Improvement

Ncube

Mohale

Nogemane

2022

CIMB

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Global demand for soybean and its products has stimulated research into the production of novel genotypes with higher yields, greater drought and disease tolerance, and shorter growth times. Genetic research may be the most effective way to continue developing high-performing cultivars with desirable agronomic features and improved nutritional content and seed performance. Metabolomics, which predicts the metabolic marker for plant performance under stressful conditions, is rapidly gaining interest in plant breeding and has emerged as a powerful tool for driving crop improvement. The development of increasingly sensitive, automated, and high-throughput analytical technologies, paired with improved bioinformatics and other omics techniques, has paved the way for wide characterization of genetic characteristics for crop improvement. The combination of chromatography (liquid and gas-based) with mass spectrometry has also proven to be an indisputable efficient platform for metabolomic studies, notably plant metabolic fingerprinting investigations. Nevertheless, there has been significant progress in the use of nuclear magnetic resonance (NMR), capillary electrophoresis, and Fourier-transform infrared spectroscopy (FTIR), each with its own set of benefits and drawbacks. Furthermore, utilizing multivariate analysis, principal components analysis (PCA), discriminant analysis, and projection to latent structures (PLS), it is possible to identify and differentiate various groups. The researched soybean varieties may be correctly classified by using the PCA and PLS multivariate analyses. As metabolomics is an effective method for evaluating and selecting wild specimens with desirable features for the breeding of improved new cultivars, plant breeders can benefit from the identification of metabolite biomarkers and key metabolic pathways to develop new genotypes with value-added features.

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“…Raffinose and galactinol are important osmolytes in cell osmotic adjustment, whose increments in soybean leaves and roots were suggested as a metabolic adjustment response to improve drought tolerance ( Tripathi, Rabara & Reese, 2016 ). Therefore, the identification of responsive key metabolites contributes to elucidate the complex pathway of drought resistance in plants ( Chaudhary et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Metabolic adjustment and regulation of gene expression are essential for increased resistance to severe water deficit and resilience post-stress in soybean

Silva

Rosa

et al. 2022

PeerJ

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Background Soybean is the main oilseed crop grown in the world; however, drought stress affects its growth and physiology, reducing its yield. The objective of this study was to characterize the physiological, metabolic, and genetic aspects that determine differential resistance to water deficit in soybean genotypes. Methods Three soybean genotypes were used in this study, two lineages (L11644 and L13241), and one cultivar (EMBRAPA 48-C48). Plants were grown in pots containing 8 kg of a mixture of soil and sand (2:1) in a greenhouse under sunlight. Soil moisture in the pots was maintained at field capacity until the plants reached the stage of development V4 (third fully expanded leaf). At this time, plants were subjected to three water treatments: Well-Watered (WW) (plants kept under daily irrigation); Water Deficit (WD) (withholding irrigation until plants reached the leaf water potential at predawn of −1.5 ± 0.2 MPa); Rewatered (RW) (plants rehydrated for three days after reached the water deficit). The WW and WD water treatments were evaluated on the eighth day for genotypes L11644 and C48, and on the tenth day for L13241, after interruption of irrigation. For the three genotypes, the treatment RW was evaluated after three days of resumption of irrigation. Physiological, metabolic and gene expression analyses were performed. Results Water deficit inhibited growth and gas exchange in all genotypes. The accumulation of osmolytes and the concentrations of chlorophylls and abscisic acid (ABA) were higher in L13241 under stress. The metabolic adjustment of lineages in response to WD occurred in order to accumulate amino acids, carbohydrates, and polyamines in leaves. The expression of genes involved in drought resistance responses was more strongly induced in L13241. In general, rehydration provided recovery of plants to similar conditions of control treatment. Although the C48 and L11644 genotypes have shown some tolerance and resilience responses to severe water deficit, greater efficiency was observed in the L13241 genotype through adjustments in morphological, physiological, genetic and metabolic characteristics that are combined in the same plant. This study contributes to the advancement in the knowledge about the resistance to drought in cultivated plants and provides bases for the genetic improvement of the soybean culture.

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Metabolomics: An Emerging Technology for Soybean Improvement

Cited by 12 publications

References 48 publications

Metabolomic Variability of Different Soybean Genotypes: β-Carotene-Enhanced (Glycine max), Wild (Glycine soja), and Hybrid (Glycine max × Glycine soja) Soybeans

Metabolomic Variability of Different Soybean Genotypes: β-Carotene-Enhanced (Glycine max), Wild (Glycine soja), and Hybrid (Glycine max × Glycine soja) Soybeans

Metabolomics as a Prospective Tool for Soybean (Glycine max) Crop Improvement

Metabolic adjustment and regulation of gene expression are essential for increased resistance to severe water deficit and resilience post-stress in soybean

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