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Bibliometric Analysis of Functional Crops and Nutritional Quality: Identification of Gene Resources to Improve Crop Nutritional Quality through Gene Editing Technology
Food security and hidden hunger are two worldwide serious and complex challenges nowadays. As one of the newly emerged technologies, gene editing technology and its application to crop improvement offers the possibility to relieve the pressure of food security and nutrient needs. In this paper, we a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865409/ https://www.ncbi.nlm.nih.gov/pubmed/36678244 http://dx.doi.org/10.3390/nu15020373 |
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author | Wei, Xun Long, Yan Yi, Chenchen Pu, Aqing Hou, Quancan Liu, Chang Jiang, Yilin Wu, Suowei Wan, Xiangyuan |
author_facet | Wei, Xun Long, Yan Yi, Chenchen Pu, Aqing Hou, Quancan Liu, Chang Jiang, Yilin Wu, Suowei Wan, Xiangyuan |
author_sort | Wei, Xun |
collection | PubMed |
description | Food security and hidden hunger are two worldwide serious and complex challenges nowadays. As one of the newly emerged technologies, gene editing technology and its application to crop improvement offers the possibility to relieve the pressure of food security and nutrient needs. In this paper, we analyzed the research status of quality improvement based on gene editing using four major crops, including rice, soybean, maize, and wheat, through a bibliometric analysis. The research hotspots now focus on the regulatory network of related traits, quite different from the technical improvements to gene editing in the early stage, while the trends in deregulation in gene-edited crops have accelerated related research. Then, we mined quality-related genes that can be edited to develop functional crops, including 16 genes related to starch, 15 to lipids, 14 to proteins, and 15 to other functional components. These findings will provide useful reference information and gene resources for the improvement of functional crops and nutritional quality based on gene editing technology. |
format | Online Article Text |
id | pubmed-9865409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98654092023-01-22 Bibliometric Analysis of Functional Crops and Nutritional Quality: Identification of Gene Resources to Improve Crop Nutritional Quality through Gene Editing Technology Wei, Xun Long, Yan Yi, Chenchen Pu, Aqing Hou, Quancan Liu, Chang Jiang, Yilin Wu, Suowei Wan, Xiangyuan Nutrients Article Food security and hidden hunger are two worldwide serious and complex challenges nowadays. As one of the newly emerged technologies, gene editing technology and its application to crop improvement offers the possibility to relieve the pressure of food security and nutrient needs. In this paper, we analyzed the research status of quality improvement based on gene editing using four major crops, including rice, soybean, maize, and wheat, through a bibliometric analysis. The research hotspots now focus on the regulatory network of related traits, quite different from the technical improvements to gene editing in the early stage, while the trends in deregulation in gene-edited crops have accelerated related research. Then, we mined quality-related genes that can be edited to develop functional crops, including 16 genes related to starch, 15 to lipids, 14 to proteins, and 15 to other functional components. These findings will provide useful reference information and gene resources for the improvement of functional crops and nutritional quality based on gene editing technology. MDPI 2023-01-11 /pmc/articles/PMC9865409/ /pubmed/36678244 http://dx.doi.org/10.3390/nu15020373 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wei, Xun Long, Yan Yi, Chenchen Pu, Aqing Hou, Quancan Liu, Chang Jiang, Yilin Wu, Suowei Wan, Xiangyuan Bibliometric Analysis of Functional Crops and Nutritional Quality: Identification of Gene Resources to Improve Crop Nutritional Quality through Gene Editing Technology |
title | Bibliometric Analysis of Functional Crops and Nutritional Quality: Identification of Gene Resources to Improve Crop Nutritional Quality through Gene Editing Technology |
title_full | Bibliometric Analysis of Functional Crops and Nutritional Quality: Identification of Gene Resources to Improve Crop Nutritional Quality through Gene Editing Technology |
title_fullStr | Bibliometric Analysis of Functional Crops and Nutritional Quality: Identification of Gene Resources to Improve Crop Nutritional Quality through Gene Editing Technology |
title_full_unstemmed | Bibliometric Analysis of Functional Crops and Nutritional Quality: Identification of Gene Resources to Improve Crop Nutritional Quality through Gene Editing Technology |
title_short | Bibliometric Analysis of Functional Crops and Nutritional Quality: Identification of Gene Resources to Improve Crop Nutritional Quality through Gene Editing Technology |
title_sort | bibliometric analysis of functional crops and nutritional quality: identification of gene resources to improve crop nutritional quality through gene editing technology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865409/ https://www.ncbi.nlm.nih.gov/pubmed/36678244 http://dx.doi.org/10.3390/nu15020373 |
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