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651 results on '"Dong, Guojun"'

6. Leaf Morphology Genes SRL1 and RENL1 Co-Regulate Cellulose Synthesis and Affect Rice Drought Tolerance

Author

Liu Dan, Zhao Huibo, Wang Zi’an, Xu Jing, Liu Yiting, Wang Jiajia, Chen Minmin, Liu Xiong, Zhang Zhihai, Cen Jiangsu, Zhu Li, Hu Jiang, Ren Deyong, Gao Zhenyu, Dong Guojun, Zhang Qiang, Shen Lan, Li Qing, Qian Qian, Hu Songping, and Zhang Guangheng

Subjects
cellulose, cell wall, drought tolerance, leaf morphology, rice, Plant culture, SB1-1110
Abstract

The morphological development of rice (Oryza sativa L.) leaves is closely related to plant architecture, physiological activities, and resistance. However, it is unclear whether there is a co-regulatory relationship between the morphological development of leaves and adaptation to drought environment. In this study, a drought-sensitive, roll-enhanced, and narrow-leaf mutant (renl1) was induced from a semi-rolled leaf mutant (srl1) by ethyl methane sulfonate (EMS), which was obtained from Nipponbare (NPB) through EMS. Map-based cloning and functional validation showed that RENL1 encodes a cellulose synthase, allelic to NRL1/OsCLSD4. The RENL1 mutation resulted in reduced vascular bundles, vesicular cells, cellulose, and hemicellulose contents in cell walls, diminishing the water-holding capacity of leaves. In addition, the root system of the renl1 mutant was poorly developed and its ability to scavenge reactive oxygen species (ROS) was decreased, leading to an increase in ROS after drought stress. Meanwhile, genetic results showed that RENL1 and SRL1 synergistically regulated cell wall components. Our results revealed a theoretical basis for further elucidating the molecular regulation mechanism of cellulose on rice drought tolerance, and provided a new genetic resource for enhancing the synergistic regulation network of plant type and stress resistance, thereby realizing simultaneous improvement of multiple traits in rice.

Published
2024
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11. GR5 acts in the G protein pathway to regulate grain size in rice

Author

Wang, Yueying, Lv, Yang, Yu, Haiping, Hu, Peng, Wen, Yi, Wang, Junge, Tan, Yiqing, Wu, Hao, Zhu, Lixin, Wu, Kaixiong, Chai, Bingze, Liu, Jialong, Zeng, Dali, Zhang, Guangheng, Zhu, Li, Gao, Zhenyu, Dong, Guojun, Ren, Deyong, Shen, Lan, Zhang, Qiang, Li, Qing, Guo, Longbiao, Xiong, Guosheng, Qian, Qian, and Hu, Jiang

Published
2024
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34. Optimizing Signal Management in a Vaccine Adverse Event Reporting System:A Proof-of-Concept with COVID-19 Vaccines Using Signs, Symptoms, and Natural Language Processing

Author

Dong, Guojun, Bate, Andrew, Haguinet, François, Westman, Gabriel, Dürlich, Luise, Hviid, Anders, Sessa, Maurizio, Dong, Guojun, Bate, Andrew, Haguinet, François, Westman, Gabriel, Dürlich, Luise, Hviid, Anders, and Sessa, Maurizio

Abstract

INTRODUCTION: The Vaccine Adverse Event Reporting System (VAERS) has already been challenged by an extreme increase in the number of individual case safety reports (ICSRs) after the market introduction of coronavirus disease 2019 (COVID-19) vaccines. Evidence from scientific literature suggests that when there is an extreme increase in the number of ICSRs recorded in spontaneous reporting databases (such as the VAERS), an accompanying increase in the number of disproportionality signals (sometimes referred to as 'statistical alerts') generated is expected.OBJECTIVES: The objective of this study was to develop a natural language processing (NLP)-based approach to optimize signal management by excluding disproportionality signals related to listed adverse events following immunization (AEFIs). COVID-19 vaccines were used as a proof-of-concept.METHODS: The VAERS was used as a data source, and the Finding Associated Concepts with Text Analysis (FACTA+) was used to extract signs and symptoms of listed AEFIs from MEDLINE for COVID-19 vaccines. Disproportionality analyses were conducted according to guidelines and recommendations provided by the US Centers for Disease Control and Prevention. By using signs and symptoms of listed AEFIs, we computed the proportion of disproportionality signals dismissed for COVID-19 vaccines using this approach. Nine NLP techniques, including Generative Pre-Trained Transformer 3.5 (GPT-3.5), were used to automatically retrieve Medical Dictionary for Regulatory Activities Preferred Terms (MedDRA PTs) from signs and symptoms extracted from FACTA+.RESULTS: Overall, 17% of disproportionality signals for COVID-19 vaccines were dismissed as they reported signs and symptoms of listed AEFIs. Eight of nine NLP techniques used to automatically retrieve MedDRA PTs from signs and symptoms extracted from FACTA+ showed suboptimal performance. GPT-3.5 achieved an accuracy of 78% in correctly assigning MedDRA PTs.CONCLUSION: O

Published
2024

36. Improving Rice Quality by Regulating the Heading Dates of Rice Varieties without Yield Penalties.

Author

Liu, Jianguo, Yi, Qinqin, Dong, Guojun, Chen, Yuyu, Guo, Longbiao, Gao, Zhenyu, Zhu, Li, Ren, Deyong, Zhang, Qiang, Li, Qing, Li, Jingyong, Liu, Qiangming, Zhang, Guangheng, Qian, Qian, and Shen, Lan

Subjects
RICE quality, GENOME-wide association studies, FLOWERING time, REGULATOR genes, GENOME editing
Abstract

The heading date, a critical trait influencing the rice yield and quality, has always been a hot topic in breeding research. Appropriately delaying the flowering time of excellent northern rice varieties is of great significance for improving yields and enhancing regional adaptability during the process for introducing varieties from north to south. In this study, genes influencing the heading date were identified through genome-wide association studies (GWAS). Using KenDao 12 (K12), an excellent cultivar from northern China, as the material, the specific flowering activator, OsMADS50, was edited using the genome-editing method to regulate the heading date to adapt to the southern planting environment. The results indicated that the osmads50 mutant line of K12 flowered about a week later, with a slight increase in the yield and good adaptability in the southern region in China. Additionally, the expressions of key flowering regulatory genes, such as Hd1, Ghd7, Ehd1, Hd3a, and RFT1, were reduced in the mutant plants, corroborating the delayed flowering phenotype. Yield trait analysis revealed that the primary factor for improved yield was an increase in the number of effective tillers, although there is potential for further enhancements in the seed-setting rate and grain plumpness. Furthermore, there were significant increases in the length-to-width ratio of the rice grains, fat content, and seed transparency, all contributing to an overall improvement in the rice quality. In summary, this study successfully obtained a rice variety with a delayed growth period through OsMADS50 gene editing, effectively implementing the strategy for adapting northern rice varieties to southern climates. This achievement significantly supports efforts to enhance the rice yield and quality as well as to optimize production management practices. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Scaling up production of recombinant human basic fibroblast growth factor in an Escherichia coli BL21(DE3) plysS strain and evaluation of its pro-wound healing efficacy

Author

Li, Le, primary, Yu, Bingjie, additional, Lai, Yingji, additional, Shen, Siyuan, additional, Yan, Yawei, additional, Dong, Guojun, additional, Gao, Xiangyun, additional, Cao, Yanrong, additional, Ge, Caojie, additional, Zhu, Liqin, additional, Liu, Huan, additional, Tao, Shanhui, additional, Yao, Zhiang, additional, Li, Shijun, additional, Wang, Xiaojie, additional, and Hui, Qi, additional

Published
2024
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