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Sharma S, Goyal P, Devi J, Atri C, Kumar R, Banga SS. Using near-infrared reflectance spectroscopy (NIRS) to predict the nitrogen levels in the stem and root tissues of Brassica juncea (Indian mustard). SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 322:124755. [PMID: 38964023 DOI: 10.1016/j.saa.2024.124755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/22/2024] [Accepted: 06/27/2024] [Indexed: 07/06/2024]
Abstract
Brassica juncea depends heavily on nitrogen (N) fertilizers for growth and accumulation of seed protein. However, it is an inefficient mobilizer of applied N which leads to accumulation of excess N in the soil, posing environmental risks. Hence, it is imperative to systematically examine spatial-temporal pattern of crop N to efficiently manage N application. The Kjeldahl method is commonly used to estimate N status of crops but it is a destructive method that entails the use of perilous and expensive chemicals. Near-infrared reflectance spectroscopy (NIRS) offers a safe, accurate, and non-destructive alternative for large-scale screening of seed metabolites. Currently, no NIRS model exists to quickly estimate N content in shoots and roots from large germplasm sets in any rapeseed-mustard crop. Developing such a model is essential to breed for enhanced nitrogen use efficiency (NUE). We used 738 shoot and 346 root samples from a B. juncea diversity set to construct the NIRS models. A diverse range of genetic variation in N content was recorded in the stem (0.21-6.61%) and root (0.15-3.04%) tissues of the crop raised on two different N levels (N0 and N100). Modified partial least squares (MPLS) method was employed to establish a regression equation linking reference N values with spectral changes. The developed models exhibited strong associations with reference values, with RSQ values of 0.884 for stem and 0.645 for roots. Furthermore, external validation confirms the reliability of the developed models. The developed models have strong predictive capabilities for rapid and reliable N estimation in various tissues of B. juncea plants.
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Affiliation(s)
- Sanjula Sharma
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141004, Punjab, India.
| | - Prinka Goyal
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141004, Punjab, India
| | - Jomika Devi
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141004, Punjab, India
| | - Chhaya Atri
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141004, Punjab, India
| | - Ravinder Kumar
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141004, Punjab, India
| | - S S Banga
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141004, Punjab, India
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Manikandan A, Muthusamy S, Wang ES, Ivarson E, Manickam S, Sivakami R, Narayanan MB, Zhu LH, Rajasekaran R, Kanagarajan S. Breeding and biotechnology approaches to enhance the nutritional quality of rapeseed byproducts for sustainable alternative protein sources- a critical review. FRONTIERS IN PLANT SCIENCE 2024; 15:1468675. [PMID: 39588088 PMCID: PMC11586226 DOI: 10.3389/fpls.2024.1468675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Accepted: 09/30/2024] [Indexed: 11/27/2024]
Abstract
Global protein consumption is increasing exponentially, which requires efficient identification of potential, healthy, and simple protein sources to fulfil the demands. The existing sources of animal proteins are high in fat and low in fiber composition, which might cause serious health risks when consumed regularly. Moreover, protein production from animal sources can negatively affect the environment, as it often requires more energy and natural resources and contributes to greenhouse gas emissions. Thus, finding alternative plant-based protein sources becomes indispensable. Rapeseed is an important oilseed crop and the world's third leading oil source. Rapeseed byproducts, such as seed cakes or meals, are considered the best alternative protein source after soybean owing to their promising protein profile (30%-60% crude protein) to supplement dietary requirements. After oil extraction, these rapeseed byproducts can be utilized as food for human consumption and animal feed. However, anti-nutritional factors (ANFs) like glucosinolates, phytic acid, tannins, and sinapines make them unsuitable for direct consumption. Techniques like microbial fermentation, advanced breeding, and genome editing can improve protein quality, reduce ANFs in rapeseed byproducts, and facilitate their usage in the food and feed industry. This review summarizes these approaches and offers the best bio-nutrition breakthroughs to develop nutrient-rich rapeseed byproducts as plant-based protein sources.
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Affiliation(s)
- Anandhavalli Manikandan
- Department of Genetics and Plant Breeding, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
| | - Saraladevi Muthusamy
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
| | - Eu Sheng Wang
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
| | - Emelie Ivarson
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
| | - Sudha Manickam
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
| | - Rajeswari Sivakami
- Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
| | - Manikanda Boopathi Narayanan
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
| | - Li-Hua Zhu
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
| | - Ravikesavan Rajasekaran
- Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
| | - Selvaraju Kanagarajan
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden
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Yang L, Li H, Xie N, Yuan G, Guo Q. Transcriptome-Wide Association Analysis of Flavonoid Biosynthesis Genes and Their Correlation With Leaf Phenotypes in Hawk Tea ( Litsea coreana var. sinensis). Ecol Evol 2024; 14:e70563. [PMID: 39554885 PMCID: PMC11569866 DOI: 10.1002/ece3.70563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 10/24/2024] [Accepted: 10/29/2024] [Indexed: 11/19/2024] Open
Abstract
Hawk tea (Litsea coreana var. sinensis), derived from the tender shoots or leaves, rich in flavonoids can promote healthcare for humans. The primary flavonoid are kaempferol-3-O-β-D-glucoside, kaempferol-3-O-β-D-galactoside, quercetin-3-O-β-D-glucoside, and quercetin-3-O-β-D-galactoside. The existence of an association between leaf phenotype and flavonoid content, along with the underlying mechanisms of flavonoid biosynthesis, remains incompletely understood. In this study, 109 samples were analyzed to determine the correlation and genetic variability in leaf phenotype and flavonoid content. Furthermore, a transcriptome-wide association study identified candidate loci implicated in the biosynthesis of four key flavonoids. The study revealed that genetic variability in leaf traits and flavonoid concentrations is predominantly attributed to interpopulation differences. Flavonoid accumulation was significantly correlated with tree DBH, indicative of age-related traits. Transcriptome-wide association analysis identified 84 significant SNPs associated with flavonoid content, with only 13 located within gene regions. The majority of these genes are implicated in metabolic processes and secondary metabolite biosynthesis. Notably, structural genes within these regions are directly involved in pathways known to regulate flavonoid metabolism, exerting a pivotal influence on flavonoid biosynthesis. These results revealed the physiological basis for the regulation of flavonoid content, as well as the molecular mechanisms for the biosynthesis of flavonoids in hawk tea. It also lays theoretical groundwork for subsequent explorations into the genetic determinants influencing flavonoid accumulation of hawk tea.
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Affiliation(s)
- Lan Yang
- Institute for Forest Resources and Environment of Guizhou, Key Laboratory of Forest Cultivation in Plateau Mountain of Guizhou Province, College of ForestryGuizhou UniversityGuiyangPeople's Republic of China
| | - Huie Li
- College of AgricultureGuizhou UniversityGuiyangPeople's Republic of China
| | - Na Xie
- Institute for Forest Resources and Environment of Guizhou, Key Laboratory of Forest Cultivation in Plateau Mountain of Guizhou Province, College of ForestryGuizhou UniversityGuiyangPeople's Republic of China
| | - Gangyi Yuan
- The People's Government of Yongshan CountyZhaotongYunnanPeople's Republic of China
| | - Qiqiang Guo
- Institute for Forest Resources and Environment of Guizhou, Key Laboratory of Forest Cultivation in Plateau Mountain of Guizhou Province, College of ForestryGuizhou UniversityGuiyangPeople's Republic of China
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Chen YY, Lu HQ, Jiang KX, Wang YR, Wang YP, Jiang JJ. The Flavonoid Biosynthesis and Regulation in Brassica napus: A Review. Int J Mol Sci 2022; 24:ijms24010357. [PMID: 36613800 PMCID: PMC9820570 DOI: 10.3390/ijms24010357] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 12/28/2022] Open
Abstract
Brassica napus is an important crop for edible oil, vegetables, biofuel, and animal food. It is also an ornamental crop for its various petal colors. Flavonoids are a group of secondary metabolites with antioxidant activities and medicinal values, and are important to plant pigmentation, disease resistance, and abiotic stress responses. The yellow seed coat, purple leaf and inflorescence, and colorful petals of B. napus have been bred for improved nutritional value, tourism and city ornamentation. The putative loci and genes regulating flavonoid biosynthesis in B. napus have been identified using germplasms with various seed, petal, leaf, and stem colors, or different flavonoid contents under stress conditions. This review introduces the advances of flavonoid profiling, biosynthesis, and regulation during development and stress responses of B. napus, and hopes to help with the breeding of B. napus with better quality, ornamental value, and stress resistances.
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Affiliation(s)
- Yuan-Yuan Chen
- Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
| | - Hai-Qin Lu
- Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
| | - Kai-Xuan Jiang
- Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
| | - Yi-Ran Wang
- Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
| | - You-Ping Wang
- Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| | - Jin-Jin Jiang
- Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
- Correspondence:
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